Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
41 "Hak Chul Jang"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Articles
Others
Article image
Glycemic Benefit of Insulin Degludec/Insulin Aspart Compared to Basal Insulin in Type 2 Diabetes Mellitus Associated with Impaired Glucagon-Like Peptide-1 Response: A Randomized Crossover Trial
Han Na Jang, Eun Shil Hong, Ye Seul Yang, Seong Ok Lee, Myoung-jin Jang, Andrea Mari, Soo Heon Kwak, Kyong Soo Park, Hak Chul Jang, Hye Seung Jung
Received November 21, 2024  Accepted April 28, 2025  Published online August 14, 2025  
DOI: https://doi.org/10.4093/dmj.2024.0741    [Epub ahead of print]
  • 2,007 View
  • 70 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We aimed to confirm that once-daily insulin degludec/insulin aspart (IDegAsp) is superior to basal insulin therapy in participants with type 2 diabetes mellitus (T2DM) exhibiting signs of overbasalization. Additionally, we analyzed incretin profiles in relation to the benefits of IDegAsp, providing insights into the underlying mechanisms.
Methods
A prospective study was conducted in participants receiving basal insulin therapy, with a fasting plasma glucose (FPG) level lower than predicted from their glycosylated hemoglobin (HbA1c). Participants were randomly assigned to either IDegAsp or insulin glargine (IGlar) in a 1:1 ratio. After 20 weeks of treatment, the insulins were switched in a crossover design. The primary endpoint was the change in HbA1c from baseline. Incretin profiles, hypoglycemic events, and continuous glucose monitoring (CGM) were also analyzed (Trial registration: www.cris.nih.go.kr; KCT0004597).
Results
The study included 55 participants (male 40%, mean age 65 years, FPG 103 mg/dL, and HbA1c 8.3%). HbA1c significantly decreased to 7.8%±0.8% with IDegAsp, compared to 8.0%±0.7% with IGlar. The mean estimated treatment difference of changes was –0.21% points (95% confidence interval, –0.39 to –0.02; P=0.031), favoring IDegAsp. Hypoglycemic events were comparable. CGM demonstrated significantly lower glucose measures during the daytime with IDegAsp compared to IGlar, and vice versa at dawn. The HbA1c benefit of IDegAsp over IGlar was associated with a low glucagon-like peptide-1 (GLP-1) ratio at 30 minutes relative to baseline (r=0.301, P=0.040), while not with glucose-dependent insulinotropic polypeptide.
Conclusion
The greater reduction in HbA1c achieved with IDegAsp compared to IGlar in individuals with T2DM was associated with an impaired GLP-1 response, facilitating personalized insulin therapy.
Drug/Regimen
Article image
Efficacy and Safety of IDegAsp in a Real-World Korean Population with Type 2 Diabetes Mellitus
Shinae Kang, Yu-Bae Ahn, Tae Keun Oh, Won-Young Lee, Sung Wan Chun, Boram Bae, Amine Dahaoui, Jin Sook Jeong, Sungeun Jung, Hak Chul Jang
Diabetes Metab J. 2024;48(5):929-936.   Published online February 27, 2024
DOI: https://doi.org/10.4093/dmj.2023.0297
  • 8,035 View
  • 291 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study investigated the real-world efficacy and safety of insulin degludec/insulin aspart (IDegAsp) in Korean adults with type 2 diabetes mellitus (T2DM), whose insulin treatment was switched to IDegAsp.
Methods
This was a multicenter, retrospective, observational study comprising two 26-week treatment periods, before and after switching to IDegAsp, respectively. Korean adults with uncontrolled T2DM treated with basal or premix insulin (±oral antidiabetic drugs) were enrolled. The primary objective was to compare the degree of glycosylated hemoglobin (HbA1c) change in each 26-week observation period. The analyses included changes in HbA1c, fasting plasma glucose (FPG), body weight, proportion of participants achieving HbA1c <7.0%, hypoglycemic events, and total daily insulin dose (ClinicalTrials.gov, number NCT04656106).
Results
In total, 196 adults (mean age, 65.95 years; mean T2DM duration, 18.99 years) were analyzed. The change in both HbA1c and FPG were significantly different between the pre-switching and the post-switching period (0.28% vs. –0.51%, P<0.001; 5.21 mg/dL vs. –23.10 mg/dL, P=0.005), respectively. After switching, the rate of achieving HbA1c <7.0% was significantly improved (5.10% at baseline vs. 11.22% with IDegAsp, P=0.012). No significant differences (before vs. after switching) were observed in body weight change, and total daily insulin dose. The rates of overall and severe hypoglycemia were similar in the two periods.
Conclusion
In real-world clinical practice in Korea, the change of insulin regimen to IDegAsp was associated with an improvement in glycemic control without increase of hypoglycemia, supporting the use of IDegAsp for patients with T2DM uncontrolled with basal or premix insulin.

Citations

Citations to this article as recorded by  
  • Switching to insulin degludec/aspart penfill reusable cartridges in patients with type 2 diabetes mellitus: real-life outcomes
    Sezin Dogan Çakır, Hatice Deniz Yücel, Zeynep Akgül Kızılçay, Mine Adaş
    Diabetology & Metabolic Syndrome.2025;[Epub]     CrossRef
  • Efficacy and safety of insulin degludec/aspart in patients with type 2 and type 1 diabetes mellitus: real-world evidence from Indonesia
    Hendra Zufry, Krishna Wardhana Sucipto, Agustia Sukri Ekadamayanti, Qanita Iqbal
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Switching from Premixed Insulin to Insulin Degludec/Insulin Aspart for the Management of Type 2 Diabetes Mellitus: Implications of a Real-World Study on Insulin Degludec Dosing
    Yiming Wu, Junqing Zhang, Ang Li
    Diabetes Therapy.2024; 15(12): 2515.     CrossRef
Metabolic Risk/Epidemiology
Higher Muscle Mass Protects Women with Gestational Diabetes Mellitus from Progression to Type 2 Diabetes Mellitus
Yujin Shin, Joon Ho Moon, Tae Jung Oh, Chang Ho Ahn, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
Diabetes Metab J. 2022;46(6):890-900.   Published online April 28, 2022
DOI: https://doi.org/10.4093/dmj.2021.0334
  • 9,988 View
  • 276 Download
  • 7 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We evaluated whether postpartum muscle mass affects the risk of type 2 diabetes mellitus (T2DM) in Korean women with gestational diabetes mellitus (GDM).
Methods
A total of 305 women with GDM (mean age, 34.9 years) was prospectively evaluated for incident prediabetes and T2DM from 2 months after delivery and annually thereafter. Appendicular skeletal muscle mass (ASM) was assessed with bioelectrical impedance analysis at the initial postpartum visit, and ASM, either divided by body mass index (BMI) or squared height, and the absolute ASM were used as muscle mass indices. The risk of incident prediabetes and T2DM was assessed according to tertiles of these indices using a logistic regression model.
Results
After a mean follow-up duration of 3.3 years, the highest ASM/BMI tertile group had a 61% lower risk of incident prediabetes and T2DM compared to the lowest tertile group, and this remained significant after we adjusted for covariates (adjusted odds ratio, 0.37; 95% confidence interval [CI], 0.15 to 0.92; P=0.032). Equivalent findings were observed in normal weight women (BMI <23 kg/m2), but this association was not significant for overweight women (BMI ≥23 kg/m2). Absolute ASM or ASM/height2 was not associated with the risk of postpartum T2DM.
Conclusion
A higher muscle mass, as defined by the ASM/BMI index, was associated with a lower risk of postpartum prediabetes and T2DM in Korean women with GDM.

Citations

Citations to this article as recorded by  
  • Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications
    Jooyeop Lee, Na Keum Lee, Joon Ho Moon
    Endocrinology and Metabolism.2025; 40(1): 10.     CrossRef
  • Genetic effects on gestational diabetes mellitus and their interactions with environmental factors among Japanese women
    Tomoki Kawahara, Nobutoshi Nawa, Keiko Murakami, Toshihiro Tanaka, Hisashi Ohseto, Ippei Takahashi, Akira Narita, Taku Obara, Mami Ishikuro, Masatsugu Orui, Aoi Noda, Genki Shinoda, Yuki Nagata, Satoshi Nagaie, Soichi Ogishima, Junichi Sugawara, Shigeo Ku
    Journal of Human Genetics.2025; 70(5): 265.     CrossRef
  • Peripheral Thyroid Hormone Sensitivity Mediates the Association Between Body Composition and Diabetes in Euthyroid Adults
    Nanfang Yao, Lan Liu, Yuqi Jiang, Dongmei Wang, Qianyi Lu, Yi Zeng, Genfeng Yu, Qintao Ma, Peiyi Li, Lingling Liu, Jie Shen, Heng Wan
    Journal of Cachexia, Sarcopenia and Muscle.2025;[Epub]     CrossRef
  • Low muscle mass index is associated with type 2 diabetes risk in a Latin-American population: a cross-sectional study
    Rosario Suárez, Celina Andrade, Estefania Bautista-Valarezo, Yoredy Sarmiento-Andrade, Andri Matos, Oliver Jimenez, Martha Montalvan, Sebastián Chapela
    Frontiers in Nutrition.2024;[Epub]     CrossRef
  • More appendicular lean mass relative to body mass index is associated with lower incident diabetes in middle-aged adults in the CARDIA study
    Melanie S. Haines, Aaron Leong, Bianca C. Porneala, Victor W. Zhong, Cora E. Lewis, Pamela J. Schreiner, Karen K. Miller, James B. Meigs, Mercedes R. Carnethon
    Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(1): 105.     CrossRef
  • The Association of the Triglyceride and Muscle to Fat Ratio During Early Pregnancy with the Development of Gestational Diabetes Mellitus
    Fang Wang, Yuan-Yuan Bao, Kang Yu
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 3187.     CrossRef
  • Correlation of body composition in early pregnancy on gestational diabetes mellitus under different body weights before pregnancy
    Li Xintong, Xu Dongmei, Zhang Li, Cao Ruimin, Hao Yide, Cui Lingling, Chen Tingting, Guo Yingying, Li Jiaxin
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
Review
Metabolic Risk/Epidemiology
Article image
Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications
Joon Ho Moon, Hak Chul Jang
Diabetes Metab J. 2022;46(1):3-14.   Published online January 27, 2022
DOI: https://doi.org/10.4093/dmj.2021.0335
  • 46,515 View
  • 1,713 Download
  • 255 Web of Science
  • 265 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
Gestational diabetes mellitus (GDM) is the most common complication during pregnancy and is defined as any degree of glucose intolerance with onset or first recognition during pregnancy. GDM is associated with adverse pregnancy outcomes and long-term offspring and maternal complications. For GDM screening and diagnosis, a two-step approach (1-hour 50 g glucose challenge test followed by 3-hour 100 g oral glucose tolerance test) has been widely used. After the Hyperglycemia and Adverse Pregnancy Outcome study implemented a 75 g oral glucose tolerance test in all pregnant women, a one-step approach was recommended as an option for the diagnosis of GDM after 2010. The one-step approach has more than doubled the incidence of GDM, but its clinical benefit in reducing adverse pregnancy outcomes remains controversial. Long-term complications of mothers with GDM include type 2 diabetes mellitus and cardiovascular disease, and complications of their offspring include childhood obesity and glucose intolerance. The diagnostic criteria of GDM should properly classify women at risk for adverse pregnancy outcomes and long-term complications. The present review summarizes the strengths and weaknesses of the one-step and two-step approaches for the diagnosis of GDM based on recent randomized controlled trials and observational studies. We also describe the long-term maternal and offspring complications of GDM.

Citations

Citations to this article as recorded by  
  • Can Maternal Hypoglycemia During Oral Glucose Tolerance Test Predict Adverse Pregnancy Outcomes?
    Yongying Bai, Ya Xi, Binbin Yin, Kaiqi Wu, Jinghua Zhang
    Endocrine Practice.2026; 32(1): 2.     CrossRef
  • Does magnesium, one of the treatments for preeclampsia, interact with vanadium?
    Ali Ovayolu, Vugar Ali Turksoy, Aylin Igdir Turan, Ilkay Dogan, Nuray Bostancieri
    Naunyn-Schmiedeberg's Archives of Pharmacology.2026; 399(3): 3447.     CrossRef
  • Association between Urinary Copper and Gestational Diabetes Mellitus: Role of Epigenome-Wide DNA Methylation and Proteomics
    Yingru Li, Shanshan Zhang, Yuwei Lai, Ping Wu, Fengjiang Sun, Anqi Jiao, Xiangwang He, Yunhaonan Yang, Jiaying Yuan, Nianwei Wu, Rui Li, Yidan Dong, Tianlei Wang, Fan Li, Shuo Li, Gang Liu, Yayi Hu, Da Chen, Jin Wu, An Pan, Xiong-Fei Pan
    The Journal of Clinical Endocrinology & Metabolism.2026; 111(4): 1136.     CrossRef
  • The predictive value of the first–trimester aggregate index of systemic inflammation (AISI) in gestational diabetes mellitus in women with twin pregnancies: A prospective cohort study
    Jiali Lu, Yueyun Xiang, Donghua Xie, Jun He, Tuanmei Wang, Xingli Li
    International Journal of Gynecology & Obstetrics.2026; 173(1): 489.     CrossRef
  • Synbiotic Nutraceutical Mitigates Gestational Diabetes Effects and Cardiovascular Dysfunction in Rat Offspring
    Deborah Emanuelle de Albuquerque Lemos, Evandro Leite de Souza, Micaelle Oliveira de Luna Freire, Jaielison Yandro Pereira da Silva, Paulo César Trindade da Costa, Josiane de Campos Cruz, Alisson Macário de Oliveira, João Felipe Mota, José Luiz de Brito A
    Molecular Nutrition & Food Research.2026;[Epub]     CrossRef
  • Long-term effects of fenofibrate in male offspring of gestational diabetic rats: Evaluation of glycemia, lipid profiles, liver tissue, and metabolic alterations
    Shan Wang, Lin Qin, Xiaoli Song, Hejia Yin, Weihong Yang, Robabe Bazesh
    Pathology - Research and Practice.2026; 278: 156331.     CrossRef
  • The role of folic acid and vitamin B12 in gestational diabetes mellitus and offspring development: A narrative review
    Jiayue Su, Chenran Cai, Ying Zhang, Donglan Wang, Sijia Yan, Xueqiong Yao
    The Journal of Nutritional Biochemistry.2026; 150: 110232.     CrossRef
  • Risk factors for primary cesarean delivery in women with gestational diabetes mellitus: a predictive model for clinical risk assessment
    Lili Zheng, Hongfang Kong, Fang Wang, Yuan Su, Yaqing Chang, Hong Xin
    Journal of Perinatal Medicine.2026; 54(2): 325.     CrossRef
  • The association between the uric acid to high-density lipoprotein cholesterol ratio with gestational diabetes mellitus: a cross-sectional study based on NHANES 1999–2020
    Yihe Feng, Qinwen Song, Ying Qin
    The Journal of Maternal-Fetal & Neonatal Medicine.2026;[Epub]     CrossRef
  • Experience and Acceptability of a Reduced-Energy Whole-Diet Intervention in Women with Gestational Diabetes: a Qualitative Study of the Dietary Intervention in Gestational Diabetes Trial
    Laura C Kusinski, Sarah Dib, Suzanne Smith, Danielle L Jones, Amy L Ahern, Claire L Meek
    Current Developments in Nutrition.2026; 10(2): 107633.     CrossRef
  • Lowering the Diagnostic Threshold for Gestational Diabetes: A Comparison of 2 Centres
    Sanaz Azizi, Agnieszka Majdan, Rachel Bond, Natasha Garfield, Sara Meltzer, Shaun Eintracht, Kathryn Morrison, Julia Ma, Kaberi Dasgupta, Tricia Peters
    Canadian Journal of Diabetes.2026; 50(1): 47.     CrossRef
  • Adiponectin Promotes SHBG Expression in Trophoblast Cells and Improves Insulin Signaling in Streptozotocin-Induced Gestational Diabetes Mellitus Rats
    Yijie Cheng, Shangling Lv, Ronghui Liu
    Applied Biochemistry and Biotechnology.2026; 198(2): 1391.     CrossRef
  • GDM-Related Neurodevelopmental and Neuropsychiatric Disorders in the Mothers and Their Progeny, and the Underlying Mechanisms
    Zhijin Yan, Jianhong Pu, Dawei Li, Mingxing Liu, Zhice Xu, Jiaqi Tang
    Journal of Personalized Medicine.2026; 16(1): 19.     CrossRef
  • The role of oral dysbiosis in pregnancy complications: a systematic review and meta-analysis of preterm birth
    Paula García-Rios, Francisco Javier Rodríguez-Lozano, Raquel González-Murcia, Laura Murcia, Desirée Victoria-Montesinos, Ana María García-Muñoz
    Journal of Oral Microbiology.2026;[Epub]     CrossRef
  • Identification and validation of PANX1 as an inflammasome-related biomarker in gestational diabetes mellitus: insights from machine learning and experimental approaches
    Padmanaban M. Abirami, K. L. Milan, M. Anuradha, Kunka Mohanram Ramkumar
    Mammalian Genome.2026;[Epub]     CrossRef
  • SERS-based deep learning approach for early detection of gestational diabetes mellitus
    Huizhen Lin, Jiawang Chen, Yiming Chen, Dechan Lu
    Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy.2026; 351: 127472.     CrossRef
  • Metformin use in gestational diabetes mellitus and neonatal outcomes: a systematic review and meta-analysis on the risk of small for gestational age
    Wenwen Zhang, Liwei Ren, Juan Du, Ruijia Sun, Wenqi Zhao, Xueqing Song, Shuo Jiang, Zhao Wang, Wenjuan Wang
    Frontiers in Medicine.2026;[Epub]     CrossRef
  • Role of fasting glucose and glycated hemoglobin for gestational diabetes mellitus diagnosis: A prospective study
    María Molina-Vega, Maria J Estébanez-Prieto, Andrea Fernández-Valero, Fuensanta Lima-Rubio, Ana M Fernández-Ramos, Teresa M Linares-Pineda, Sonsoles Morcillo, María J Picón-César
    World Journal of Diabetes.2026;[Epub]     CrossRef
  • Comparison of pregnancy outcomes and physical conditions of infants in patients with gestational diabetes mellitus treated with metformin and insulin: a meta-analysis study
    Linlin Sun, Peng Du, Zhiyu Xi
    BMC Pregnancy and Childbirth.2026;[Epub]     CrossRef
  • A study on the association between early-pregnancy hair metal levels and gestational diabetes mellitus
    Feng Tang, Jun Guo, Li-An-Sheng Wu, Xiao-Yuan Fan, Han-Wen Zhang, Noora Kartiosuo, Boris Novakovic, Ting-Li Han, Hua Zhang, Yin-Yin Xia, Philip Baker, Richard Saffery
    Environmental Pollution.2026; 395: 127765.     CrossRef
  • Intestinal fungal dysbiosis in gestational diabetes mellitus is associated with adverse pregnancy outcomes
    Wenxin Wang, Sha Lu, Yuanqing Fu, Yuyun Yao, Wensheng Hu
    BMC Pregnancy and Childbirth.2026;[Epub]     CrossRef
  • Death by Iron: Ferroptosis in the Aetiology and Outcome of Gestational Diabetes Mellitus
    S. Monisha, K. L. Milan, K. M. Ramkumar
    Diabetes/Metabolism Research and Reviews.2026;[Epub]     CrossRef
  • Association of urinary iodine concentration with gestational diabetes mellitus in U.S. women: A NHANES cross-sectional study (2009–2016)
    Lijun Hu, Shouxing Jiao, Guobin Zhang, Fan Yang, Lingling Liu, Yi Lu
    Medicine.2026; 105(5): e47343.     CrossRef
  • Circulating miR-326 and miR-532-3p: novel biomarkers for early gestational diabetes mellitus detection with high diagnostic accuracy
    Hui-Zhen Lin, Zhi-Kun Liang, Jun-Ju Huang, Yong Yang, Yan Huang, Zhi-Shen Wu, Jin-Lin Tan, Sheng Huang, Shi-Han Ruan, Bing-Yi Xu, Ze-Fan Ruan, Tao-Sheng Huang, Qi-Guang Wang, Long Xie
    Journal of Endocrinological Investigation.2026;[Epub]     CrossRef
  • Elevated Systemic Immune-Inflammation Index is Associated with Gestational Diabetes Mellitus: A Multicenter Retrospective Studies
    Jingyang Li, Qiong Li, Yixuan Zhang, Xiaohu Chen, Chunyi Zhang, Yu Chen, Ying Gu, Chaoyan Yue
    Journal of Inflammation Research.2026; Volume 19: 1.     CrossRef
  • The impact of gestational diabetes on pregnancy and newborn health in Southern Morocco: A retrospective cohort study
    Rachida Boutiti, Hicham Gougueni, Fatima Es-Sabir, Abderhman Arechkik, Hayat Iziki, Abdelhadi El Haddaouy, Fatima Zahra Kheye, Abdellatif Daoudi, Amina Barkat
    Scientific African.2026; 31: e03211.     CrossRef
  • Relationship between lipid profiles and glycemic control in gestational diabetes mellitus women
    Yanming Chen, Zhijia Zhao, Jin Xu, Lindan Ji, Jie Cai
    BMC Pregnancy and Childbirth.2026;[Epub]     CrossRef
  • Mediating role of body mass index and fetal fraction in the association between advanced maternal age and gestational diabetes mellitus risk: a retrospective non-invasive prenatal testing cohort study
    Bin Zhang, Zhaolong Zhan, Xusheng Chen, Sijie Xi, Zhonghua Shi, Xiaosong Yuan
    European Journal of Medical Research.2026;[Epub]     CrossRef
  • Early characterization of pregnancy glycemic traits in gestational diabetes mellitus by plasma cell-free mRNA and non-coding RNA
    Songchang Chen, Yuwei Liu, Tingyu Yang, Zunmin Wan, Jinghua Sun, Xuanyou Zhou, Jiayi Li, Jiayi Huang, Lanlan Zhang, Sijia Guo, Yuxuan Kang, Fang Chen, Hefeng Huang, Chenming Xu, Wen-Jing Wang
    Epigenetics.2026;[Epub]     CrossRef
  • Association of Maternal Creatinine-to-Body Weight and Urea-to-Creatinine Ratios with Gestational Diabetes Mellitus
    Merve Ayas Özkan, Ruken Dayanan, Dilara Duygulu Bulan, Halis Doğukan Özkan, Gizem Aktemur, Gülşan Karabay, Betül Tokgöz Çakır, Zeynep Şeyhanlı, Ayşegül Atılgan Yıldırım, Furkan Akın, Zehra Vural Yılmaz
    The European Research Journal.2026; : 329.     CrossRef
  • Mitochondrial dysfunction and immune microenvironment in gestational diabetes mellitus: insights from bioinformatics analysis and experimental validation
    Rui Zhao, Tingting Chai, Qin Gao, Aimin Jiang
    Frontiers in Immunology.2026;[Epub]     CrossRef
  • A Case Study on the Perinatal Management of Patients with Multiple Pregnancy Complications under Multidisciplinary Collaborative Care
    爱 任
    Advances in Clinical Medicine.2026; 16(03): 473.     CrossRef
  • Longitudinal associations between PM2.5 with gestational diabetes mellitus mediated by gut microbiome and potential mechanism: based on a prospective pregnant women cohort in China
    Shanshan Mei, Jingyi Ye, Yaoyao Teng, Yisheng Chen, Yan Long, Xueqin Zhao, Xueqing Cen, Xiaoyan Zhang, Chunyan Zhu
    Frontiers in Cellular and Infection Microbiology.2026;[Epub]     CrossRef
  • Maternal Adherence to the Mediterranean Diet and Adverse Pregnancy Outcomes: Findings from the Multi-Center PLATONE Project
    Simona Esposito, Sabatino Orlandi, Teresa Panzera, Paola De Domenico, Carmine Malzoni, Pietro Mastandrea, Francesca De Micco, Augusto Di Castelnuovo, Chiara Cerletti, Marialaura Bonaccio, Licia Iacoviello
    Nutrients.2026; 18(5): 769.     CrossRef
  • Postpartum Glucose Intolerance in Women with a History of Gestational Diabetes Mellitus: An In-Depth Review
    Kyung-Soo Kim, Soo-Kyung Kim, Yong-Wook Cho
    Endocrinology and Metabolism.2026; 41(1): 26.     CrossRef
  • Analysis of medication adherence and influencing factors in postpartum patients with persistent hyperglycemia following gestational diabetes mellitus
    Jiaojiao Liu, Ting He, Ziye Wang, Lingjun Sun, Cheng Ji
    BMC Pregnancy and Childbirth.2026;[Epub]     CrossRef
  • Melatonin as a Redox Modulator in Developmental Programming: Implications for Cardiovascular–Kidney–Metabolic Risk
    Chien-Ning Hsu, You-Lin Tain
    International Journal of Molecular Sciences.2026; 27(5): 2390.     CrossRef
  • Long-term risk of offspring type 1 and type 2 diabetes following maternal gestational diabetes mellitus: a nationwide birth cohort study with 10-year follow-up
    Joon Ho Moon, Han Na Jung, Bongseong Kim, Jaehyun Kim, Young Mi Jung, Hyeon Ji Kim, Jee Yoon Park, Tae Jung Oh, Soo Heon Kwak, Kyung-Do Han, Sung Hee Choi
    BMC Medicine.2026;[Epub]     CrossRef
  • Association between assisted reproductive technology and gestational diabetes mellitus: the role of serum folate and triglycerides
    Bin Zhang, Sijie Xi, Runrun Hao, Zhaolong Zhan, Zhonghua Shi, Xiaosong Yuan
    Nutrition & Diabetes.2026;[Epub]     CrossRef
  • Diabetes in Pregnancy in Korea: Prevalence, Clinical Characteristics, and Postpartum Comorbidities
    Joon Ho Moon, Han Na Jung, Bongseong Kim, Seung-Hyun Ko, Soo Heon Kwak, Kyung-Do Han, Sung Hee Choi
    Diabetes & Metabolism Journal.2026; 50(2): 280.     CrossRef
  • Associations of maternal hemoglobin and its changes with gestational diabetes mellitus: a prospective cohort study
    Danmeng Liu, Doudou Zhao, Fuyang Zhao, Li Shan, Xinru Gao, Yang Mi, Pengfei Qu
    Nutrition Journal.2026;[Epub]     CrossRef
  • Maternal Serum Periostin as a Potential Biomarker for Gestational Diabetes Mellitus and Adverse Perinatal Outcomes
    Semra Eroglu, Neset Gumusburun, Sebati Sinan Urkmez, Yeşim Civil Ürkmez, Samettin Çelik, Kübra Şahin
    Zeitschrift für Geburtshilfe und Neonatologie.2026;[Epub]     CrossRef
  • Gestasyonel Diyabet Vakalarında Serum Katestatin Düzeylerinin Araştırılması
    Aziz Kından, Ahmet Kurt, Yüksel Oğuz, Can Ozan Ulusoy, Dilruba Ravza Nalbantçılar, Merve Ayas Ozkan, Ruken Dayanan, Kadriye Yakut Yücel
    Jinekoloji-Obstetrik ve Neonatoloji Tıp Dergisi.2026; 23(1): 41.     CrossRef
  • Gestational diabetes and subsequent risk of type 2 diabetes and metabolic dysfunction-associated steatotic liver disease in a commercially insured U.S. Pregnancy cohort
    Lili Liu, Esther E. Velasquez, Cande V. Ananth, Kari C. Nadeau, Melissa L Bondy, Mindie H. Nguyen, Michelle A. Williams
    Diabetes Research and Clinical Practice.2026; 236: 113240.     CrossRef
  • Intestinal Microbiota in Pregnant Women With Diabetes During the Third Trimester Analyzed Through High-Throughput Sequencing Technology—A Prospective Cohort Study
    Bo Zhao, Juan Yang, Jing Guo, Xuqin Wang
    Clinical and Experimental Obstetrics & Gynecology.2026;[Epub]     CrossRef
  • Mining transcriptomic data for gestational diabetes mellitus: What public datasets reveal
    Ling-Ling Xie, Shu-Wen Li, Yue Zou, Dan Qin, Jing Sun, Ying-Xue Xiao, Tong Li, You-Jin Hao, Bo Li
    World Journal of Diabetes.2026;[Epub]     CrossRef
  • Beyond one size fits all: Probing patient choices in gestational diabetes management, from screening to postpartum
    Ayman Mobin, Amir Obeid, Imad El‐Kebbi, Dean Everett, Saleh Ibrahim, Joviana Farhat, Basem Al‐Omari
    Chronic Diseases and Translational Medicine.2025; 11(1): 33.     CrossRef
  • Usefulness of glycated albumin levels in predicting the maternal or neonatal complications of gestational diabetes mellitus during ;ate pregnancy in South Korea: a retrospective study
    Jihan Kim, Sami Lee, Jong Sung Kim
    Korean Journal of Family Medicine.2025; 46(6): 401.     CrossRef
  • Associations of systemic immune-inflammation index and systemic inflammation response index with maternal gestational diabetes mellitus: Evidence from a prospective birth cohort study
    Shuanghua Xie, Enjie Zhang, Shen Gao, Shaofei Su, Jianhui Liu, Yue Zhang, Yingyi Luan, Kaikun Huang, Minhui Hu, Xueran Wang, Hao Xing, Ruixia Liu, Wentao Yue, Chenghong Yin
    Chinese Medical Journal.2025; 138(6): 729.     CrossRef
  • Quality of Life in Women With Gestational Diabetes Mellitus and Treatment Satisfaction Upon Intermittently Scanned Continuous Glucose Monitoring
    Sookyung Won, Hyeon Ji Kim, Jee Yoon Park, Kyung Joon Oh, Sung Hee Choi, Hak Chul Jang, Joon Ho Moon
    Journal of Korean Medical Science.2025;[Epub]     CrossRef
  • Gestational diabetes mellitus-derived miR-7-19488 targets PIK3R2 mRNA to stimulate the abnormal development and maturation of offspring-islets
    Chunxue Xu, Linhai Zou, Li Wang, Wenshan Lv, Xiangju Cao, Xinyu Jia, Yuan Wang, Guohui Jiang, Lixia Ji
    Life Sciences.2025; 363: 123369.     CrossRef
  • How Do Maternal Gestational Diabetes and Other Concomitant Maternal Factors Determine the Perinatal Outcomes of Pregnancy?—A Retrospective Analysis
    Karolina Karcz, Barbara Królak-Olejnik
    Nutrients.2025; 17(1): 177.     CrossRef
  • Blood Cells Parameters in Second Trimester of Pregnancy and Gestational Diabetes Mellitus: A Systematic Review and Meta‐Analysis
    Vida Ghasemi, Mojdeh Banaei, Zahra Kiani, Fahimeh Ramezani Tehrani, Marzieh Saei Ghare Naz
    Endocrinology, Diabetes & Metabolism.2025;[Epub]     CrossRef
  • Gut microbiome-derived metabolites and their impact on gene regulatory networks in gestational diabetes
    Sarvesh Sabarathinam, Akash Jayaraman, Ramesh Venkatachalapathy
    The Journal of Steroid Biochemistry and Molecular Biology.2025; 247: 106674.     CrossRef
  • Advanced maternal age is a risk factor for both early and late gestational diabetes mellitus: The Japan Environment and Children's Study
    Kazuma Tagami, Noriyuki Iwama, Hirotaka Hamada, Hasumi Tomita, Rie Kudo, Natsumi Kumagai, Hongxin Wang, Seiya Izumi, Zen Watanabe, Mami Ishikuro, Taku Obara, Hirohito Metoki, Yuichiro Miura, Chiharu Ota, Takashi Sugiyama, Shinichi Kuriyama, Takahiro Arima
    Journal of Diabetes Investigation.2025; 16(4): 735.     CrossRef
  • Targeted metabolomics reveals novel biomarkers for gestational diabetes mellitus
    Zhuangfei Xu, Jiali Fang, Yi Wang, Xiaoting Wu, Lan Liu, Xianwei Cui, Hong Zhong, Tianying Zhong
    Diabetes, Obesity and Metabolism.2025; 27(4): 2163.     CrossRef
  • Risk of neonatal SARS-CoV-2 infection: a retrospective cohort study based on infected mothers with gestational diabetes mellitus
    Jing Ni, Yongfei Zheng, Jiaqi Tian, Lin Zhang, Shuyin Duan
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Retrospective Analysis of the Correlation between Umbilical Blood Flow Index and Maternal and Fetal Outcomes in Pregnant Women with Gestational Diabetes
    Qiong Liu, Sinan Shu, Xiuping Zhao, Huiling Yu
    British Journal of Hospital Medicine.2025; 86(1): 1.     CrossRef
  • A Review of the Impact of Gestational Diabetes on Fetal Brain Development: An Update on Neurosonographic Markers During the Last Decade
    Efthymios Oikonomou, Christos Chatzakis, Sofoklis Stavros, Anastasios Potiris, Konstantinos Nikolettos, Sotirios Sotiriou, Ekaterini Domali, Nikolaos Nikolettos, Alexandros Sotiriadis, Angeliki Gerede
    Life.2025; 15(2): 210.     CrossRef
  • Mothers with obesity and gestational diabetes did not induce brain pathologies or premature brain aging in their adolescent and early adult offspring in rats
    Huatuo Huang, Nattayaporn Apaijai, Chanisa Thonusin, Panan Suntornsaratoon, Nipon Chattipakorn, Narattaphol Charoenphandhu, Siriporn C. Chattipakorn
    Neuroscience.2025; 568: 454.     CrossRef
  • Integration of transcriptomics and metabolomics data revealed role of insulin resistant SNW1 gene in the pathophysiology of gestational diabetes
    Ravi Bhushan, Rimjhim Trivedi, Ritu Raj, Anjali Rani, Sangeeta Rai, Anima Tripathi, Shiv Govind Rawat, Ajay Kumar, Dinesh Kumar, Pawan K. Dubey
    Scientific Reports.2025;[Epub]     CrossRef
  • Efficacy and safety of pharmacological treatments for gestational diabetes: a systematic review comparing metformin with glibenclamide and insulin
    Louise Bodier, Maela Le Lous, Hélène Isly, Christèle Derrien, Patricia Vaduva
    Diabetes & Metabolism.2025; 51(2): 101622.     CrossRef
  • Animal Models for Studying Developmental Origins of Cardiovascular–Kidney–Metabolic Syndrome
    You-Lin Tain, Ying-Jui Lin, Chien-Ning Hsu
    Biomedicines.2025; 13(2): 452.     CrossRef
  • Investigation of Adhesion Molecules in the Placentas of Patients with Gestational Diabetes Mellitus with Premature Rupture of Membranes
    Muhyiddin Sancar , Esranur Atiç , Mehmet Uğur Karabat , Şehmus Kaplan , Ayfer Aktaş , Fırat Aşır
    Journal of Drug Delivery and Therapeutics.2025; 15(2): 45.     CrossRef
  • Association of serum inflammatory markers in early-pregnancy with the risk for gestational diabetes mellitus: a prospective cohort in Shenzhen, China
    Yijin Wang, Qinqin Ren, Hui Yuan, Yang Wang, Yao Liu, Yuanhuan Wei, Ruifang Sun, Hongguang Yang, Ping Tian, Jianjun Yang, Guifang Deng
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications
    Jooyeop Lee, Na Keum Lee, Joon Ho Moon
    Endocrinology and Metabolism.2025; 40(1): 10.     CrossRef
  • Bridging gaps in artificial intelligence adoption for maternal-fetal and obstetric care: Unveiling transformative capabilities and challenges
    Kalyan Tadepalli, Abhijit Das, Tanushree Meena, Sudipta Roy
    Computer Methods and Programs in Biomedicine.2025; 263: 108682.     CrossRef
  • Comparison of 75g OGTT and Four Sugar Profiles in Diagnosis of Gestational Diabetes Mellitus
    Yamina Ishtiaq, Shazia Fakhar, Hina Gul, Darakhshan Sheikh
    Indus Journal of Bioscience Research.2025; 3(3): 99.     CrossRef
  • The Hidden Impact of Gestational Diabetes: Unveiling Offspring Complications and Long-Term Effects
    Elsa Al Bekai, Carla El Beaini, Karim Kalout, Ouhaila Safieddine, Sandra Semaan, François Sahyoun, Hilda E. Ghadieh, Sami Azar, Amjad Kanaan, Frederic Harb
    Life.2025; 15(3): 440.     CrossRef
  • Unveiling Gestational Diabetes: An Overview of Pathophysiology and Management
    Rahul Mittal, Karan Prasad, Joana R. N. Lemos, Giuliana Arevalo, Khemraj Hirani
    International Journal of Molecular Sciences.2025; 26(5): 2320.     CrossRef
  • Impact of fructooligosaccharides on gut microbiota and microbial metabolites in gestational diabetes mellitus: An in vitro fermentation model study
    Zhi Du, Yang Bi, Jiabin Li, Zhiwei Xu, Jieying Ding, Mengshan Huang, Meng Zhang, Daqing Ma, Hui Wang, Zhigang Liu, Jing Miao
    Journal of Functional Foods.2025; 127: 106740.     CrossRef
  • Predictive Value of First‐Trimester Aggregate Index of Systemic Inflammation (AISI) and Other Inflammatory Indices for Gestational Diabetes Mellitus and Associated Obstetric Outcomes
    Esra Karatas, Atakan Tanacan, Osman Onur Ozkavak, Burcu Bozkurt Ozdal, Hatice Betul Ucar, Ozgur Kara, Dilek Sahin
    American Journal of Reproductive Immunology.2025;[Epub]     CrossRef
  • Increased First Trimester Serum Uric Acid as A Predictor of Gestational Diabetes Mellitus
    Muhammad Faisal Javaid, . Azra, Sadiq Jan, Fauzia Sadiq, Tehmeena Munawar, Naveeda Nawaz
    Pakistan Journal of Health Sciences.2025; : 121.     CrossRef
  • Does Fetal Size Affect Umbilical Artery Pulsatility Index in Pregnancies Complicated by Gestational Diabetes?
    Libera Troìa, Alessandro Libretti, Stefania Ferrari, Anna Dotta, Sonia Giacomini, Erika Mainolfi, Federica Spissu, Alessia Tivano, Daniela Surico, Valentino Remorgida
    Diabetology.2025; 6(4): 27.     CrossRef
  • The impact of environmental and dietary exposure on gestational diabetes mellitus: a comprehensive review emphasizing the role of oxidative stress
    Congcong Sun, Jiaying Shen, Rujing Fang, Huiya Huang, Yanan Lai, Yanjun Hu, Jianqiong Zheng
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Association of gestational diabetes mellitus diagnosed at different time points in oral glucose tolerance test with adverse pregnancy outcomes: a retrospective cohort study
    Ruipeng Lin, Yulong Zhang, Yuxin Lin, Lili Yang, Jiayi Chen, Qingxiu Li, Haibo Li, Qian Zhang
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Metabolic Phenotypes of Women with Gestational Diabetes Mellitus Affect the Risk of Adverse Pregnancy Outcomes
    Joon Ho Moon, Sookyung Won, Hojeong Won, Heejun Son, Tae Jung Oh, Soo Heon Kwak, Sung Hee Choi, Hak Chul Jang
    Endocrinology and Metabolism.2025; 40(2): 247.     CrossRef
  • Pilot Study of Growth Factors in Colostrum: How Delivery Mode and Maternal Health Impact IGF-1, EGF, NGF, and TGF-β Levels in Polish Women
    Paweł Paśko, Jadwiga Kryczyk-Kozioł, Paweł Zagrodzki, Ewelina Prochownik, Martyna Ziomek, Ryszard Lauterbach, Hubert Huras, Magdalena Staśkiewicz, Justyna Dobrowolska-Iwanek
    Nutrients.2025; 17(8): 1386.     CrossRef
  • Human umbilical cord mesenchymal stem cell-derived exosomal miR-455-3p targets CAMK2N1 to improve trophoblast cell injury in gestational diabetes mellitus
    Yan Zhang, Mingyu Du, Baosheng Zhu, Runmei Ma, Jinman Zhang
    Diabetology & Metabolic Syndrome.2025;[Epub]     CrossRef
  • Advancing Early Prediction of Gestational Diabetes Mellitus with Circular RNA Biomarkers
    Joon Ho Moon, Sung Hee Choi
    Diabetes & Metabolism Journal.2025; 49(3): 403.     CrossRef
  • The influence of socioeconomic status on the association between residential greenness and gestational diabetes mellitus in an urban setting: a multicenter study
    Tian Zhang, Wen Jiang, Yun Huang, Cuiping Wang, Jun Cao, Wei Qiu, Rong Huang, Jun Zhang, Weiping Ye, Qingli Zhang
    BMC Public Health.2025;[Epub]     CrossRef
  • Mediating effect of osteocalcin underlying the link between insulin-like growth factor-I and gestational diabetes mellitus
    Lingling Cui, Yuting Gao, Ruijie Sun, Zhiqian Li, Zhengya Zhang, Linpu Ji, Yibo Wang, Hua Ye, Luying Qin
    BMC Pregnancy and Childbirth.2025;[Epub]     CrossRef
  • Influence of gestational diabetes mellitus on the cardiovascular system and its underlying mechanisms
    Ze Zhang, Yumeng Zhang, Shuai Huang, Min Li, Lingjun Li, Linglu Qi, Yun He, Zhice Xu, Jiaqi Tang
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Association of maternal thyroid function and gestational diabetes with pregnancy outcomes: a retrospective cohort study
    Chang Zou, Qinxin Shen, Yuanyuan Yang, Yini Liao, Qiaoling Du
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Transplacental transfer of metformin and interaction of metformin with the uptake transporters of placental trophoblast cells
    Xiaoting Gu, Yutian Cai, Chaoyue Zheng, Keran Li, Shuwen Zhu, Shaohan Zhang, Ziqi Wang, Jianxiong Xiang, Zhipeng Cheng, Xiaoyu Ai, Cheng Yang
    European Journal of Pharmaceutical Sciences.2025; 212: 107161.     CrossRef
  • Expression and clinical significance of mir-520g-3p in patients with gestational diabetes mellitus
    Yi Ding, Min Cai, Yan Wang, Runpeng Zhao, Xin Yue
    Journal of Diabetes & Metabolic Disorders.2025;[Epub]     CrossRef
  • High-Calorie Diet Exacerbates the Crosstalk Between Gestational Diabetes and Youth-Onset Diabetes in Female Offspring Through Disrupted Estrogen Signaling
    Xinyu Jia, Xiangju Cao, Yuan Wang, Shuai Yang, Lixia Ji
    Nutrients.2025; 17(13): 2128.     CrossRef
  • Construct a nomogram prediction and evaluation of influencing factors of adverse pregnancy outcomes in GDM patients based on plasma miR-144-3p levels
    Sanqiang Niu, Pengwen Wu, Bing Li, Huaili Xin, Kangjun Yu, Ningning Du
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Correlation between serum advanced glycation end-products and their receptor-mediated oxidative stress and perinatal outcomes in gestational diabetes mellitus
    Ying Zhang, Teng Li, Zhi-Heng Wang, Yun Liu
    World Journal of Diabetes.2025;[Epub]     CrossRef
  • miR-27a-3p, miR-222-3p and miR-340-5p as indicators of the antioxidant response activation in gestational diabetes
    Ana Penezić, Ognjen Radojičić, Jovana Stevanović, Dragana Robajac, Goran Miljuš, Miloš Šunderić, Daniela Ardalić, Vesna Mandić-Marković, Željko Miković, Olgica Nedić, Zorana Dobrijević
    Molecular Biology Reports.2025;[Epub]     CrossRef
  • Glycosylated fibronectin as a biomarker to predict gestational diabetes mellitus in the first trimester of pregnancy
    Indu Lata, Krishna Kant, Prabhaker Mishra
    Journal of Family Medicine and Primary Care.2025; 14(6): 2484.     CrossRef
  • Effect of vitamin D supplementation on glycemic control, insulin sensitivity, and pregnancy outcomes in gestational diabetes patients undergoing dietary therapy
    Shiwen Yu, Xiaolin Yu, Furong Li
    Journal of Health, Population and Nutrition.2025;[Epub]     CrossRef
  • 2025 Clinical Practice Guidelines for Diabetes Management in Korea: Recommendation of the Korean Diabetes Association
    Shinae Kang, Seon Mee Kang, Jong Han Choi, Seung-Hyun Ko, Bo Kyung Koo, Hyuk-Sang Kwon, Mi Kyung Kim, Sang Yong Kim, Soo-Kyung Kim, Young-eun Kim, Eun Sook Kim, Jae Hyeon Kim, Chong Hwa Kim, Ji Min Kim, Hae Jin Kim, Min Kyong Moon, Sun Joon Moon, Jun Sung
    Diabetes & Metabolism Journal.2025; 49(4): 582.     CrossRef
  • Household income modifies the association between social capital and gestational diabetes mellitus in Japan: Results from TMM BirThree Cohort Study
    Koichi Sakakibara, Tomoki Kawahara, Nobutoshi Nawa, Keiko Murakami, Hisashi Ohseto, Ippei Takahashi, Akira Narita, Taku Obara, Mami Ishikuro, Masatsugu Orui, Aoi Noda, Genki Shinoda, Satoshi Nagaie, Soichi Ogishima, Junichi Sugawara, Shigeo Kure, Kengo Ki
    Journal of Diabetes Investigation.2025; 16(10): 1900.     CrossRef
  • Experiences and perceptions of pregnant women diagnosed with gestational diabetes mellitus: A qualitative study
    Eleftheria Lazarou, Theodosia Panteli, Dimitra Metallinou, Ekaterini Lambrinou, Ourania Kolokotroni, Panagiota Miltiadous, Eleni Hadjigeorgiou
    Midwifery.2025; 148: 104513.     CrossRef
  • Identification and characterization of signature genes related to fetoplacental vascular endothelial cell programming in gestational diabetes mellitus using bioinformatics analysis
    Chunhong Liu, Caicheng Wei, Yulan Lu, Fu Chai, Chunfang Wang, Yonglong Zeng, Huatuo Huang
    Frontiers in Genetics.2025;[Epub]     CrossRef
  • Intergenerational associations between maternal body mass index before or during pregnancy with offspring metabolomics: a systematic review and meta-analysis
    Huan Hu, Yue Yang, Yongping Zhang, Ling-Jun Li, Jinhong Liu, Ruochen Du, Jinrui Xiong, Zimeng Chen, Peng Huang, Mengjiao Liu
    International Journal of Obesity.2025; 49(10): 1899.     CrossRef
  • The potential of 1H NMR spectroscopy for diabetes diagnosis: a review of current applications and future directions
    Ariane Schiavenin, Letícia Bergoza, Ru Angelie Edrada-Ebel, Sidnei Moura
    Diabetes Research and Clinical Practice.2025; 226: 112380.     CrossRef
  • Upregulation of the Antioxidant Response-Related microRNAs miR-146a-5p and miR-21-5p in Gestational Diabetes: An Analysis of Matched Samples of Extracellular Vesicles and PBMCs
    Jovana Stevanović, Ninoslav Mitić, Ana Penezić, Ognjen Radojičić, Daniela Ardalić, Milica Mandić, Vesna Mandić-Marković, Željko Miković, Miloš Brkušanin, Olgica Nedić, Zorana Dobrijević
    International Journal of Molecular Sciences.2025; 26(14): 6902.     CrossRef
  • Gestational Diabetes and Cardiovascular Risk in Women: A Comprehensive Review of Thrombosis, Hemostasis, and Emerging Insights Into Coagulation and Fibrinolysis
    Shahid Shehzad, Nosheena A Shabbir, Marium Mumtaz, Ume-A-Aiman ., Maryam Ali Shaheen, Muhammad Rizwan Umer, Amna Sahar
    Cureus.2025;[Epub]     CrossRef
  • Elevated TXNIP and reduced PINK1 in gestational diabetes mellitus: association with dyslipidemia and pregnancy complications
    Jing Yang
    American Journal of Translational Research.2025; 17(7): 4986.     CrossRef
  • Assessing Artificial Intelligence-Generated Patient Educational Material on Gestational Diabetes Mellitus
    Nuran Nur Aypar Akbağ
    Journal of Perinatal & Neonatal Nursing.2025; 39(3): 210.     CrossRef
  • Low prolactin levels as a marker of gestational diabetes in late pregnancy
    Roberta Scairati, Renata S. Auriemma, Sara Di Meglio, Enrica Mastantuoni, Chiara Graziadio, Guendalina Del Vecchio, Antonietta Legnante, Robert P. McEvoy, Christine Newman, Fidelma Dunne, Rosario Pivonello, Attilio Di Spiezio Sardo, Annamaria Colao
    Diabetes Research and Clinical Practice.2025; 227: 112404.     CrossRef
  • Cardiovascular Health Optimization Through Life’s Essential 8 Scores Reduces Gestational Diabetes Risk: Mediation by Platelet Activity and Inflammatory Pathways in a Nationwide Cohort
    Xuemei Li, Qimei Yang, Xia Zhang, Lidan He, Chen Chen, Jianbo Wu
    International Journal of Women's Health.2025; Volume 17: 2511.     CrossRef
  • Reduced IL-17A levels in neonates born to mothers with diabetes mellitus or infection during pregnancy
    Tingting Li, Sufen Hu, Fangfang Guo, Youming He, Haiping Cheng, Mengying Wu, Yan Mao, Kexin Zhang, Juan Lin, Rui Li, Defei Ma, Shiting Li, Cheng Chen, Bing Hu, Mingbang Wang, Yingmei Xie
    Frontiers in Pediatrics.2025;[Epub]     CrossRef
  • Effects of metformin combined with insulin aspart on gestational weight gain, lipid metabolism, immune function, and delivery outcomes in pregnant women with gestational diabetes
    Junfen Cui
    American Journal of Translational Research.2025; 17(5): 3435.     CrossRef
  • Assessment of Serum Uric Acid Levels Among Gestational Diabetes Patients in Erbil City
    Lezma G Qadir, Jwan M Zangana
    Cureus.2025;[Epub]     CrossRef
  • Follow-up and risk factors of pregnant women with gestational diabetes in Morocco
    Rachida Boutiti, Hicham Gougueni, Youssef Bouchriti, Abderrahman Arechkik, Safiya Mahlaq, Hayat Iziki, Amina Barkat
    Journal of Public Health in Africa.2025;[Epub]     CrossRef
  • Life-course management of gestational diabetes mellitus: A narrative review
    Qing-Jing Luo, Qiang Ni
    World Journal of Clinical Cases.2025;[Epub]     CrossRef
  • Gestational diabetes: a contributor to long-term thyroid dysfunction and disease
    Yu-Hsiang Shih, Chia-Jung Hsieh, Shao-Jing Wang, Chien-Hsing Lu, Jenn-Jhy Tseng
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Early-Life Hydrogen Sulfide Signaling as a Target for Cardiovascular–Kidney–Metabolic Syndrome Reprogramming
    Chien-Ning Hsu, Ying-Jui Lin, Chih-Yao Hou, Yu-Wei Chen, You-Lin Tain
    Antioxidants.2025; 14(9): 1064.     CrossRef
  • From Molecular Insights to Clinical Management of Gestational Diabetes Mellitus—A Narrative Review
    Mohamed-Zakaria Assani, Lidia Boldeanu, Maria-Magdalena Manolea, Mihail Virgil Boldeanu, Isabela Siloși, Alexandru-Dan Assani, Constantin-Cristian Văduva, Anda Lorena Dijmărescu
    International Journal of Molecular Sciences.2025; 26(17): 8719.     CrossRef
  • Effects of Liver Enzyme Levels During Pregnancy on Birth Weight
    Qingxiu Li, Mian Pan, Jiayi Chen, Huimin Shi, Qian Zhang, Wenjuan Liu, Haiyan Gao, Wei Li, Zhengqin Wu, Bin Sun, Yibing Zhu, Haibo Li
    Maternal and Child Health Journal.2025; 29(10): 1415.     CrossRef
  • Are Phoenixin-14 Levels Linked to Birth Weight and Maternal Diabetes? A Comparison of Phoenixin-14 Levels in Umbilical Cord Blood in Relation to Birth Weight in Term Infants
    Ramazan Keçeci, Melek Büyükeren, Beyza Özcan, Ümmügülsüm Can, Fatma Hilal Yılmaz, Aytaç Kenar, Fikriye Karanfil Yaman
    Clinical and Experimental Obstetrics & Gynecology.2025;[Epub]     CrossRef
  • Obesity and Pregnancy: Impact on Childbirth Timing, Delivery Mode, and Maternal Recovery: An Update
    Angeliki Gerede, Maria Danavasi, Sofoklis Stavros, Anastasios Potiris, Athanasios Zikopoulos, Efthalia Moustakli, Charikleia Skentou, Ekaterini Domali, Nikolaos Nikolettos, Makarios Eleftheriades
    Medical Sciences.2025; 13(3): 182.     CrossRef
  • Enhanced SLC2A4 expression mitigates insulin resistance in gestational diabetes mellitus via the FoxO signaling pathway in vitro
    Yanqi Jin, Xiaoyan Cheng, Jinting Wu, Yi Zhu, Hui Xu, Chunyu Cao
    Experimental and Therapeutic Medicine.2025; 30(5): 1.     CrossRef
  • Kisspeptin‐10 Improves Gestational Diabetes Mellitus Symptoms in Rats by Suppressing Insulin Resistance in Placental Trophoblast Cells by Activating the Cyclic AMP/Protein Kinase A Pathway
    Jianhua Li, Jinhuan Chen, Lin Lu, Bei Gan
    Chemical Biology & Drug Design.2025;[Epub]     CrossRef
  • Knowledge, attitudes and practices towards gestational diabetes mellitus among obstetric and gynaecological healthcare workers: a cross-sectional study of 68 hospitals in Hubei Province, China
    Lina Wang, Yuerong Wang, Huajun Chen, Lijuan Liu, Xiaofang Chen, Quan Gan
    BMJ Open.2025; 15(9): e101475.     CrossRef
  • A Preliminary Study of circ‐PNPT1/miR‐144‐3p/UBE2G1 Expression in Placental Tissues and Serum and Its Mechanism in Patients With Gestational Diabetes Mellitus
    Jingyi Wang, Minire Tuluhong, Qiying Zhu
    Molecular Reproduction and Development.2025;[Epub]     CrossRef
  • Exosomal miR-152-5p promotes trophoblast apoptosis by inhibiting the PI3K/AKT/FOXO3a signaling pathway via targeting VAMP3 in gestational diabetes mellitus
    Yuan Zhang, Jiabin Ren, Tiantian Yu, Qiuwan Zhang, Xiaorui Liu, Weibin Wu, Yanan Li, Zixuan Huang, Sichen Lyu, Yong Zhang, William Fraser, Jean-Patrice Baillargeon, Jianxia Fan
    Placenta.2025; 172: 51.     CrossRef
  • Pregnancy and Caffeine Metabolism: Updated Insights and Implications for Maternal–Fetal Health
    Katarzyna Maria Struniewicz, Magdalena Maria Ptaszek, Alicja Marianna Ziółkowska, Aneta Nitsch-Osuch, Aleksandra Kozłowska
    Nutrients.2025; 17(19): 3173.     CrossRef
  • Enhancing gestational diabetes mellitus education: a randomized controlled trial of King’s theory and FMEA-PDCA integration for improved patient outcomes
    Canying Lin, Qingzhen Guan, Bilan Su, Huayong Lin, Yaoyao Xu, Qifu Wu, Li Ge
    BMC Pregnancy and Childbirth.2025;[Epub]     CrossRef
  • Anti-hyperglycemic effect of NiO–sodium alginate–polyethylene glycol–crocin nanocomposite via attenuating TLR4/MyD88/NFκB signaling in gestational diabetes triggered rats
    Shangling Lv, Yanan Lu, Ping Jiang
    3 Biotech.2025;[Epub]     CrossRef
  • Comparison of the Efficacy of Intensive Insulin Therapy Regimens for Type A2 Gestational Diabetes Mellitus and Their Effects on Maternal and Infant Metabolic Indices
    Xueqin Yin, Yongqiang Gao, Yan Liu
    Clinical and Experimental Obstetrics & Gynecology.2025;[Epub]     CrossRef
  • Optimizing gestational diabetes diagnostic criteria to predict adverse perinatal outcomes in the United Arab Emirates: The Mutaba’ah Study
    Maryam M. Bashir, Luai A. Ahmed, Rami H. Al-Rifai, Iffat Elbarazi, Tom Loney, Bachar Afandi, Juma M. Alkaabi, Fatma Al-Maskari
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Pregnancy Complications and Transgenerational Health Outcomes: Mechanistic Pathways and Future Research Horizons
    Jiannan Li, Shiqing Chen, Yao Yao
    Clinical and Experimental Obstetrics & Gynecology.2025;[Epub]     CrossRef
  • Maternal Pre-Pregnancy Glycemic Status and Growth Delay in Korean Children Aged 18–36 Months: A Population-Based Study
    Eun-Jung Oh, Yeeun Han, Tae-Eun Kim, Sang-Hyun Park, Hye Won Park, Hyuk Jung Kweon, Jaekyung Choi, Jinyoung Shin
    Journal of Clinical Medicine.2025; 14(20): 7230.     CrossRef
  • Identifying the correlation between the number of OGTT abnormalities and perinatal outcomes in twin pregnancies: a retrospective cohort study
    Jia-Zheng Li, Hong-Yu Chen, Tai-Hang Liu, Wei-Zhen Tang, Lan Wang, Li Wen, Ying-Xiong Wang, Zi-Heng Zhang, Qin-Yu Cai, Ni-Ya Zhou, Kai Ye
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • A bibliometric and visual analysis of global gestational diabetes mellitus over the past 24 years
    Ying Sun, Li-Meng Zhu, Chen-xi Wei, Yi-Jia Ren
    Journal of Diabetes & Metabolic Disorders.2025;[Epub]     CrossRef
  • Transcriptome Sequencing Identifies PCK1 and IRS4 as Key Regulators of Gestational Diabetes Mellitus in Placenta: A Pilot Study
    Wenwen Wang, Qianrui Zhang, Jing Lu, Li Zhou
    Diabetes, Metabolic Syndrome and Obesity.2025; Volume 18: 3985.     CrossRef
  • Perillaldehyde Attenuates Insulin Resistance and High Glucose-Induced Ferroptosis in Trophoblast Cells via Regulation of PTPN1/Akt/Foxo1 Signaling Pathway
    Xing Wang, Yu Lu, Suyu Wang, Xueqin Wang, Shufang Yang, Chengyuan Zhao
    Reproductive Sciences.2025; 32(11): 3770.     CrossRef
  • Melatonin and Inflammatory Cytokines as Modulators of the Interaction Between Gestational Diabetes Mellitus and Pregnancy-Specific Urinary Incontinence
    Danielle Cristina Honório França, Eduardo Luzia França, Adenilda Cristina Honório-França, Kênia Maria Rezende Silva, Adriele Ataídes de Queiroz, Tassiane Cristina Morais, Emanuelle Carolina Honorio França, Carolina Neiva Frota de Carvalho, Danny Laura Gom
    Metabolites.2025; 15(11): 699.     CrossRef
  • Emerging biomarkers for gestational diabetes mellitus and related pediatric outcomes
    Tanu Gautam, Amreen Shamsad, Renu Singh, Monisha Banerjee
    World Journal of Clinical Pediatrics.2025;[Epub]     CrossRef
  • The role of diabetes mellitus in the course and complications of pregnancy: A literature review
    D. A. Akhmentayeva, Zh. Zh. Toktarova, A. K. Izhanova, M. O. Tokbulatova, A. H. Issabekova, G. Kh. Zhansarina
    Meditsinskiy sovet = Medical Council.2025; (16): 188.     CrossRef
  • Nutritional and inflammatory indices in gestational and pregestational diabetes: emphasis on the Controlling Nutritional Status (CONUT) score
    Mustafa Rasit Ozler, Erkan Saglam, Serenat Yalcin, Ebubekir Siddik Yilmaz, Nuray Nerez
    BMC Pregnancy and Childbirth.2025;[Epub]     CrossRef
  • Effects ofexosome miRNA-369-3p on the biological behavior of trophoblast cells in gestational diabetes
    Liying Yang, Daju Liu, Jun Ji, Heshuang Wang, Jing Song, Jinxia Zhang
    BMC Genomic Data.2025;[Epub]     CrossRef
  • Development and validation of gestational diabetes dietary psychological evaluation scale
    Anyi Liu, Yongjin Li, Aimin Yao, Jie Zhao, Hongmin Sun, Yibin Zhang, Jinchang Lv, Peng Gao, Dongwan Chen, Junbo Wang
    BMC Pregnancy and Childbirth.2025;[Epub]     CrossRef
  • A systematic review and meta-analysis on the association of triglyceride-glucose index levels with risk of gestational diabetes mellitus
    Maryam Farajisani, Shirin Shamsghahfarokhi, Zahra Hamidi Madani, Zeinab Zamanpour, Hamid Rastad, Sara Ghaseminejad Kermani, Kamran Safa, Leila Ashrafi, Forouhar Darabi
    Journal of Renal Injury Prevention.2025; 14(4): e38696.     CrossRef
  • The Characteristics of Course of Pregnancy and Perinatal Outcomes in Women with Gestation Diabetes Mellitus (The Results of Ten-Years Research)
    N. V. Batrak, I. V. Ivanova
    Problems of Social Hygiene, Public Health and History of Medicine.2025; 33(6): 1414.     CrossRef
  • Protótipo de aplicativo móvel para mulheres com diabetes mellitus gestacional
    Natália Pinheiro Fabricio Formiga, Thaís Galdino Cruz, Melina Even Silva da Costa, Virlene Galdino de Freitas, Kenya Waleria de Siqueira Coêlho Lisboa, Ana Maria Parente Garcia Alencar, Lucilane Maria Sales da Silva
    Journal of Health Informatics.2025; 17: 1451.     CrossRef
  • EXPLORING THE ROLE OF PHYSICAL INACTIVITY IN GESTATIONAL DIABETES MELLITUS: A SYSTEMATIC REVIEW OF EVIDENCE
    Seveka Bali, Sonia Singh, Aashima Arora
    Health Problems of Civilization.2025;[Epub]     CrossRef
  • Prophylactic administration of metformin reduces gestational diabetes mellitus incidence in the high-risk populations: a meta-analysis
    Hui Yu, Jinling Sun, Honglei Hu
    Irish Journal of Medical Science (1971 -).2024; 193(1): 199.     CrossRef
  • Association of dietary inflammatory index with risk of gestational diabetes mellitus and preeclampsia: a systematic review and meta-analysis
    Li Hong, Liyuan Zhu, Jinru Zhang, Yueqi Fu, Xiaoyan Qi, Mei Zhao
    British Journal of Nutrition.2024; 131(1): 54.     CrossRef
  • Ferritin and iron supplements in gestational diabetes mellitus: less or more?
    Tianlian Li, Jingfan Zhang, Ping Li
    European Journal of Nutrition.2024; 63(1): 67.     CrossRef
  • Comparing the screening methods for gestational diabetes mellitus before and during the COVID‐19 pandemic: A systematic review
    Xingge Sun, Clare McKeaveney, Helen Noble, Hannah O’Hara, Oliver Perra
    Journal of Diabetes Investigation.2024; 15(4): 500.     CrossRef
  • Protective Effects of Paeoniflorin Against Inflammation and Oxidative Stress in Rats with Gestational Diabetes Mellitus via Inhibiting the RhoA/ROCK Signaling Pathway
    Cheng kun Yuan, Yan Gao, Jinglu Yu, Limin Peng
    Revista Brasileira de Farmacognosia.2024; 34(3): 536.     CrossRef
  • METTL14‐mediated lncRNA XIST silencing alleviates GDM progression by facilitating trophoblast cell proliferation and migration via the miR‐497‐5p/FOXO1 axis
    Yanchuan Li, Yanfeng Liu, Xiao Yao, Haili Wang, Ziyun Shi, Meiqing He
    Journal of Biochemical and Molecular Toxicology.2024;[Epub]     CrossRef
  • Evaluation of insulin secretion and insulin sensitivity in pregnant women: Application value of simple indices
    Shuying Ren, Dan Wu, Ping Li
    Clinica Chimica Acta.2024; 554: 117753.     CrossRef
  • ATP5me alleviates high glucose-induced myocardial cell injury
    Qingsha Hou, Fang Yan, Xiuling Li, Huanling Liu, Xiang Yang, Xudong Dong
    International Immunopharmacology.2024; 129: 111626.     CrossRef
  • Aberrant NK cell profile in gestational diabetes mellitus with fetal growth restriction
    Yujing Xiong, Yazhen Wang, Mengqi Wu, Shuqiang Chen, Hui Lei, Hui Mu, Haikun Yu, Yongli Hou, Kang Tang, Xutao Chen, Jie Dong, Xiaohong Wang, Lihua Chen
    Frontiers in Immunology.2024;[Epub]     CrossRef
  • Maternal Diabetes and Risk of Hypospadias: A Systemic Review and Meta-Analysis
    Zhiyuan Liu, Chengjun Yu, Shuhan Yang, Jin Luo, Jie Zhang, Xiao Wang, Chun Wei, Qinlin Shi, Yi Hua, Xing Liu, Guanghui Wei
    Urologia Internationalis.2024; 108(2): 108.     CrossRef
  • Maternal birth weight as an indicator of early and late gestational diabetes mellitus: The Japan Environment and Children's Study
    Kazuma Tagami, Noriyuki Iwama, Hirotaka Hamada, Hasumi Tomita, Rie Kudo, Natsumi Kumagai, Hongxin Wang, Seiya Izumi, Zen Watanabe, Mami Ishikuro, Taku Obara, Nozomi Tatsuta, Hirohito Metoki, Chiharu Ota, Takashi Sugiyama, Shinichi Kuriyama, Takahiro Arima
    Journal of Diabetes Investigation.2024; 15(6): 751.     CrossRef
  • Perinatal characteristics and pregnancy outcomes of advanced maternal age women with gestational diabetes mellitus: A retrospective cohort study
    Chen Jiang, Haiyan Wen, Tingting Hu, Yanfei Liu, Xiaoqing Dai, Yiming Chen
    Health Science Reports.2024;[Epub]     CrossRef
  • Phenotypic characterisation of regulatory T cells in patients with gestational diabetes mellitus
    Ya-nan Zhang, Qin Wu, Yi-hui Deng
    Scientific Reports.2024;[Epub]     CrossRef
  • Healthy behaviors and gestational diabetes mellitus in an Iranian setting: A cross-sectional study
    Maryam Zare, Afrouz Mardi, Paria Yeghanenia, Daniel Hackett
    Medicine.2024; 103(9): e36431.     CrossRef
  • Post‐load glucose is a stronger predictor of adverse pregnancy outcomes than first‐trimester HbA1c in women without gestational diabetes
    Shahin Keshtkar Rajabi, Elham Toghraee, Golnoosh Nejatipour
    Journal of Diabetes Investigation.2024; 15(7): 914.     CrossRef
  • Triglyceride-glucose index in early pregnancy predicts the risk of gestational diabetes: a prospective cohort study
    Yufeng Guo, Junwen Lu, Mailiman Bahani, Guifeng Ding, Lei Wang, Yuxia Zhang, Huanmei Zhang, Chengyao Liu, Lijun Zhou, Xiaolan Liu, Fangshen Li, Xiaoli Wang, Hong Ding
    Lipids in Health and Disease.2024;[Epub]     CrossRef
  • A study on behavior, diet patterns and physical activity among selected GDM and non-GDM women in south India
    S Sindhu, S Uma Mageshwari
    Journal of Diabetology.2024; 15(1): 86.     CrossRef
  • The Implication of Diabetes-Specialized Nurses in Aiming for the Better Treatment and Management of Patients with Diabetes Mellitus: A Brief Narrative Review
    Yefang Zhu, Hongmei Zhang, Ying Xi, Hongli Zhu, Yan Lu, Xue Luo, Zhangui Tang, Hong Lei
    Diabetes Therapy.2024; 15(5): 917.     CrossRef
  • Triglyceride-glucose index: A promising biomarker for predicting risks of adverse pregnancy outcomes in Hangzhou, China
    Jinghua Zhang, Binbin Yin, Ya Xi, Yongying Bai
    Preventive Medicine Reports.2024; 41: 102683.     CrossRef
  • Associations of education attainment with gestational diabetes mellitus and the mediating effects of obesity: A Mendelian randomization study
    Xiaoyan Wang, Ying Lan, Na Li, Jinfeng Gao, Dejiao Meng, Shuchuan Miao
    Heliyon.2024; 10(7): e29000.     CrossRef
  • Quality assessment of videos on social media platforms related to gestational diabetes mellitus in China: A cross-section study
    Qin-Yu Cai, Jing Tang, Si-Zhe Meng, Yi Sun, Xia Lan, Tai-Hang Liu
    Heliyon.2024; 10(7): e29020.     CrossRef
  • One abnormal value in oral glucose tolerance test during pregnancy and type 2 diabetes risk: Insights from a 5-Year Follow-Up study
    Rawia Hussein-Aro, Esther Maor-Sagie, Yoel Toledano, Mordechai Hallak, Rinat Gabbay-Benziv
    Diabetes Research and Clinical Practice.2024; 211: 111659.     CrossRef
  • Assessment of the Level of Knowledge About Risk Factors, Prevention, and Treatment of Gestational Diabetes Mellitus in a Community Sample From Saudi Arabia
    Suzan A Morsy, Ayat M Tawfik, Samar Y Badayyan, Lameer K Shaikh, Shaden AzizKhan, AlKhansaa A Zakari
    Cureus.2024;[Epub]     CrossRef
  • Genetic Susceptibility, Mendelian Randomization, and Nomogram Model Construction of Gestational Diabetes Mellitus
    Qiulian Liang, Ming Li, Gongchen Huang, Ruiqi Li, Linyuan Qin, Ping Zhong, Xuekun Xing, Xiangyuan Yu
    The Journal of Clinical Endocrinology & Metabolism.2024; 109(11): 2802.     CrossRef
  • Study on the regulation of trophoblast activity by abnormally expressed hsa_circ_0024838/miR-543/HIF1A in patients with gestational diabetes mellitus
    Qian Liu, Juan Gui, Lianzhi Wu
    Placenta.2024; 151: 27.     CrossRef
  • Association between sleep duration during pregnancy and gestational diabetes mellitus: a systematic review and meta-analysis
    Yuandong Li, Chao Liang, Cui Wu, Zheng Nan
    Frontiers in Medicine.2024;[Epub]     CrossRef
  • Ultrasonographic diagnosis of fetal hemodynamic parameters in pregnant women with diabetes mellitus in the third trimester of pregnancy
    Dongmei Cai, Su Yan
    Heliyon.2024; 10(11): e30352.     CrossRef
  • Gestational diabetes mellitus and development of intergenerational non-alcoholic fatty liver disease (NAFLD) after delivery: a systematic review and meta-analysis
    Ru Xun Foo, Jenny Junyi Ma, Ruochen Du, George Boon Bee Goh, Yap Seng Chong, Cuilin Zhang, Ling-Jun Li
    eClinicalMedicine.2024; 72: 102609.     CrossRef
  • Perceptions of Chinese women with a history of gestational diabetes regarding health behaviors and related factors: a directed qualitative content analysis
    Xiaoxia Ma, Yun Yang, Shuhua Qian, Yan Ding, Qiping Lin, Na Wang
    BMC Public Health.2024;[Epub]     CrossRef
  • Associations of serum D-dimer and glycosylated hemoglobin levels with third-trimester fetal growth restriction in gestational diabetes mellitus
    Ying Zhang, Teng Li, Chao-Yan Yue, Yun Liu
    World Journal of Diabetes.2024; 15(5): 914.     CrossRef
  • Characterizing the Dynamic Expression of C1q/TNF-α-Related Protein 6 (CTRP6) during Pregnancy in Humans and Mice with Gestational Diabetes Mellitus
    Jianan Jiang, Shuangyu Wei, Miao Chen, Yutian Tan, Zhao Yang, Guiying Yang, Weijie Feng, Zhen Han, Xiaojing Wei, Xiao Luo
    Biomedicines.2024; 12(5): 1128.     CrossRef
  • Influence of mHealth-Based Lifestyle Interventions on Symptoms of Anxiety and Depression of Women With Gestational Diabetes: A Meta-Analysis
    Rong Liao, Yamin Li, Hui Yang, Yaoyue Luo
    Clinical Nursing Research.2024; 33(6): 448.     CrossRef
  • Association of VDR gene variant rs2228570-FokI with gestational diabetes mellitus susceptibility in Arab women
    Maysa Alzaim, Mohammed G.A. Ansari, Abeer A. Al-Masri, Malak N.K. Khattak, Abir Alamro, Amani Alghamdi, Amal Alenad, Majed Alokail, Omar S. Al-Attas, Ahmad G. Al-Zahrani, Nasser M. Al-Daghri
    Heliyon.2024; 10(11): e32048.     CrossRef
  • Placental Expression of Glucose and Zinc Transporters in Women with Gestational Diabetes
    Łukasz Ustianowski, Michał Czerewaty, Kajetan Kiełbowski, Estera Bakinowska, Maciej Tarnowski, Krzysztof Safranow, Andrzej Pawlik
    Journal of Clinical Medicine.2024; 13(12): 3500.     CrossRef
  • Development and validation of gestational diabetes mellitus health literacy scale
    Ruting Gu, Tong Sun, Yueshuai Pan, Jingyuan Wang, Qianqian Li, Yan Zhang, Yalin Tang, Haiqing Zhou, Lili Wei
    Patient Education and Counseling.2024; 127: 108365.     CrossRef
  • Efectele placentare ale rezistenţei la insulină în sarcinile complicate cu diabet zaharat gestaţional
    Ionescu Gabriela, Marina Nicolae-Gabriel, Scurtu Francesca, Dorneanu Denisa, Edu Mihnea-Dan, Mateescu Radu-Nicolae, Mihaela  Plotogea, Antoine Edu, Claudia Mehedinţu, Noditi Aniela
    Obstetrica şi Ginecologia.2024; 2(73): 74.     CrossRef
  • The problem of diabetes mellitus in obstetrics
    E.V. Popova-Petrosyan, A.A. Dovgan’, E.R. Kulieva
    Russian Bulletin of Obstetrician-Gynecologist.2024; 24(3): 25.     CrossRef
  • Second‐trimester triglyceride‐glucose index to predict adverse outcomes in women with gestational diabetes mellitus: A retrospective multicenter cohort study
    Xueqi Bai, Qingyi Zhu, Wenli Wang, Sutong Kan, Shiman Hu, Runrun Hao, Shanshan Wang, Zhonghua Shi
    Journal of Diabetes Investigation.2024; 15(10): 1489.     CrossRef
  • Therapeutic effect of Momordica charantia on cardiomyopathy in a diabetic maternal rat model
    Shaimaa M. Elnahas, Hend Abd El‐Halim Mansour, Mamdouh R. El‐Sawi, Amoura M. Abou‐El‐Naga
    Journal of Experimental Zoology Part A: Ecological and Integrative Physiology.2024; 341(9): 977.     CrossRef
  • Functional genetic variants and susceptibility and prediction of gestational diabetes mellitus
    Gongchen Huang, Yan Sun, Ruiqi Li, Lei Mo, Qiulian Liang, Xiangyuan Yu
    Scientific Reports.2024;[Epub]     CrossRef
  • Early Methylglyoxal Exposure Leads to Worsened Cardiovascular Function in Young Rats
    Marcos Divino Ferreira-Junior, Keilah Valéria N. Cavalcante, Jaqueline M. Costa, Amanda S. M. Bessa, Andreia Amaro, Carlos Henrique de Castro, Carlos Henrique Xavier, Sónia Silva, Diogo A. Fonseca, Paulo Matafome, Rodrigo Mello Gomes
    Nutrients.2024; 16(13): 2029.     CrossRef
  • The prevalence of gestational diabetes among underweight and normal weight women worldwide: a scoping review
    Emily S. Gitlin, Michelle Demetres, Arthi Vaidyanathan, Nicole Palmer, Hannah Lee, Sabrina Loureiro, Eman Radwan, Abigail Tuschman, Jyoti Mathad, Puja Chebrolu
    Frontiers in Clinical Diabetes and Healthcare.2024;[Epub]     CrossRef
  • Metformin administration during pregnancy tends to reduce the risk of gestational diabetes mellitus and improve pregnancy outcomes in previously infertile women with polycystic ovary syndrome who become pregnant
    Huamei Liu, Yajia Liu, Changhe Wei, Shoujiu Zhang, Yanjie Xu
    Irish Journal of Medical Science (1971 -).2024; 193(6): 2843.     CrossRef
  • Longitudinal integrative cell-free DNA analysis in gestational diabetes mellitus
    Zhuangyuan Tang, Shuo Wang, Xi Li, Chengbin Hu, Qiangrong Zhai, Jing Wang, Qingshi Ye, Jinnan Liu, Guohong Zhang, Yuanyuan Guo, Fengxia Su, Huikun Liu, Lingyao Guan, Chang Jiang, Jiayu Chen, Min Li, Fangyi Ren, Yu Zhang, Minjuan Huang, Lingguo Li, Haiqian
    Cell Reports Medicine.2024; 5(8): 101660.     CrossRef
  • Dual-mode detection of glucose based on pistol-like DNAzyme-mediated exonuclease-assisted signal cycle
    Huiying Lu, Xiaofeng Wang
    BioTechniques.2024; 76(9): 415.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
    Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
    Diabetes & Metabolism Journal.2024; 48(4): 546.     CrossRef
  • Metformin inhibits OCT3-mediated serotonin transport in the placenta
    Veronika Vachalova, Fiona Kumnova, Tetiana Synova, Kasin Yadunandam Anandam, Cilia Abad, Rona Karahoda, Frantisek Staud
    Biomedicine & Pharmacotherapy.2024; 179: 117399.     CrossRef
  • Effects of multidimensional exercise management on self-efficacy, blood glucose control, and delivery outcomes in pregnant women with gestational diabetes mellitus
    Ying He, Xin Liu, Xiali Yang
    Frontiers in Physiology.2024;[Epub]     CrossRef
  • Letter to the Editor: Comment on “The association between prepregnancy dietary fatty acids and risk of gestational diabetes mellitus: A prospective cohort study”
    Joaci Pereira dos Santos Júnior, Erika Vanesa Cadena-Burbano, Raul Manhães-de-Castro, Ana Elisa Toscano
    Clinical Nutrition ESPEN.2024; 63: 694.     CrossRef
  • Role of the "Ana Goitia" diabetes day hospital in the reduction of maternal and infant morbimortality
    Cecilia Noelia Ramos, Estela Mercedes Acosta
    SCT Proceedings in Interdisciplinary Insights and Innovations.2024; 2: 348.     CrossRef
  • Lysophosphatidylcholine Impairs the Mitochondria Homeostasis Leading to Trophoblast Dysfunction in Gestational Diabetes Mellitus
    Shao-Chi Hung, Te-Fu Chan, Hsiu-Chuan Chan, Chia-Ying Wu, Mei-Lin Chan, Jie-Yang Jhuang, Ji-Qin Tan, Jia-Bin Mei, Shi-Hui Law, Vinoth Kumar Ponnusamy, Hua-Chen Chan, Liang-Yin Ke
    Antioxidants.2024; 13(8): 1007.     CrossRef
  • Effect of High Glucose on Embryological Development of Zebrafish, Brachyodanio, Rerio through Wnt Pathway
    Ebony Thompson, Justin Hensley, Renfang Song Taylor
    International Journal of Molecular Sciences.2024; 25(17): 9443.     CrossRef
  • Periodontitis and diabetes in pregnant rats: Maternal-fetal outcomes
    Samuel Santos Souza, Larissa Lopes Cruz, Amanda Munnick Alves-Reis, Vanessa Queiros Costa, Rafaianne Queiroz Moraes-Souza, Débora Cristina Damasceno, Gustavo Tadeu Volpato
    Heliyon.2024; 10(17): e37394.     CrossRef
  • MODULAÇÃO DA MICROBIOTA INTESTINAL NO DIABETES MELLITUS GESTACIONAL: ALVO POTENCIAL TERAPÊUTICO NA ATENUAÇÃO DOS DESFECHOS ADVERSOS MATERNOS E FETAIS
    Rafaela da Silva Rocha, Adrielly Suely Santos Pereira, Marília Oliveira Fonseca Goulart, Elaine Luiza Santos Soares de Mendonça, Alane Cabral Menezes de Oliveira
    Revista Contemporânea.2024; 4(9): e5677.     CrossRef
  • Gestational diabetes mellitus: ensuring healthy futures
    Harriet D Morgan, Malak Hamza, Amy E Morrison, Cathy Campbell, Caroline Borg Cassar, Sheena Thayyil, Claire L Meek
    British Journal of Midwifery.2024; 32(10): 552.     CrossRef
  • Characteristics of Glucose-Lipid Metabolism in Early Pregnancy Among Overweight and Obese Women and Their Predictive Value for Gestational Diabetes Mellitus
    Xia Chen, Jianmin Zhang, Yuanru Tang, Yan Zhang, Ziwen Ma, Yifan Hu
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 3711.     CrossRef
  • Effects of Three Exercise Interventions on Pregnancy and Neonatal Outcomes in Chinese Women with Gestational Diabetes Mellitus: A Prospective Cohort Study
    Yingchun Zeng, Xiaohui Meng, Meiling Wen, Yin Qin, Xiaorong Wang, Xia Dai, Qiuhong Huang
    Clinical and Experimental Obstetrics & Gynecology.2024;[Epub]     CrossRef
  • Insulin aspart plus high-dose vitamin D supplementation for gestational diabetes mellitus: analysis of efficacy and risk factors for maternal and infant outcomes
    Huiying Qiu
    American Journal of Translational Research.2024; 16(8): 4200.     CrossRef
  • Influencing factors of glycemic control in singleton pregnancies complicated by gestational diabetes mellitus in western China: A retrospective study
    Jiani Zhang, Chihui Mao, Qi Cao, Guiqiong Huang, Xiaodong Wang
    Medicine.2024; 103(38): e39853.     CrossRef
  • Position statement of Italian Society of Obesity (SIO): Gestational Obesity
    Luigi Barrea, Stefania Camastra, Silvia Garelli, Valeria Guglielmi, Melania Manco, Fernanda Velluzzi, Rocco Barazzoni, Ludovica Verde, Giovanna Muscogiuri
    Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity.2024;[Epub]     CrossRef
  • The Role of Xanthine Oxidase in Pregnancy Complications: A Systematic Review
    Lorenzo Annesi, Giovanni Tossetta, Claudio Borghi, Federica Piani
    Antioxidants.2024; 13(10): 1234.     CrossRef
  • Non-Pharmacological Management of Gestational Diabetes Mellitus with a High Fasting Glycemic Parameter: A Hospital-Based Study in Vietnam
    Hang Giang Nguyen, Khanh Trang Huynh Nguyen, Phuc Nhon Nguyen
    Journal of Clinical Medicine.2024; 13(19): 5895.     CrossRef
  • Role of health literacy on lifestyle and glycemic control among women with diabetes during pregnancy: a cross-sectional study
    Towhid Babazadeh, Sara Pourrazavi, Zahra Ardeshiri, Akbar Nadi, Khalil Maleki Chollou
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Bioinformatics-based Identification of Ferroptosis-related Genes and their Diagnostic Value in Gestational Diabetes Mellitus
    Xiaomei Lv, Yujun An
    Endocrine, Metabolic & Immune Disorders - Drug Targets.2024; 24(14): 1611.     CrossRef
  • Behenic acid alleviates inflammation and insulin resistance in gestational diabetes mellitus by regulating TLR4/NF-κB signaling pathway
    Kerong Liu, Ying Gu, Xingnan Pan, Sha Chen, Jie Cheng, Le Zhang, Minkai Cao
    iScience.2024; 27(10): 111019.     CrossRef
  • Quantitative Analysis of Myocardial Work in Gestational Diabetes Mellitus Using Noninvasive Left Ventricular Pressure‐Strain Loop Measurement
    Jiaqi Zhang, Caihong Chang, Changxiu Yu, Yao Peng, Wei Feng, Juan Song, Ji Wu
    Echocardiography.2024;[Epub]     CrossRef
  • Association of joint exposure to organophosphorus flame retardants and phthalate acid esters with gestational diabetes mellitus: a nested case-control study
    Qi Lang, Xianfeng Qin, Xiangyuan Yu, Shudan Wei, Jinyan Wei, Min Zhang, Chaochao Zhao, Jun Zhang, Dingyuan Zeng, Xiaoying Zhang, Bo Huang
    BMC Pregnancy and Childbirth.2024;[Epub]     CrossRef
  • Amelioration of Insulin Resistance after Delivery Is Associated with Reduced Risk of Postpartum Diabetes in Women with Gestational Diabetes Mellitus
    Heejun Son, Joon Ho Moon, Sung Hee Choi, Nam H. Cho, Soo Heon Kwak, Hak Chul Jang
    Endocrinology and Metabolism.2024; 39(5): 701.     CrossRef
  • Are Maternal Dietary Patterns During Pregnancy Associated with the Risk of Gestational Diabetes Mellitus? A Systematic Review of Observational Studies
    Charikleia Kyrkou, Apostolos P. Athanasiadis, Michael Chourdakis, Stefania Kada, Costas G. Biliaderis, Georgios Menexes, Alexandra-Maria Michaelidou
    Nutrients.2024; 16(21): 3632.     CrossRef
  • Gestational diabetes mellitus – Can we do better with postpartum diabetes screening?
    Hadas Zafrir-Danieli, Ohad Houri, Reut Rotem, Dror Weinberg-Almog, Or Bercovich, Eran Hadar, Alexandra Berezowsky
    European Journal of Obstetrics & Gynecology and Reproductive Biology.2024; 303: 153.     CrossRef
  • Dietary inflammatory index as a predictor of prediabetes in women with previous gestational diabetes mellitus
    Yanhong Xu, Zhiying Yao, Jiayi Lin, Nan Wei, Ling Yao
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Influence of Nutrition on Growth and Development of Metabolic Syndrome in Children
    Alessia Quarta, Maria Teresa Quarta, Concetta Mastromauro, Francesco Chiarelli, Cosimo Giannini
    Nutrients.2024; 16(22): 3801.     CrossRef
  • Combination of body mass index and body fat percentage in middle and late pregnancy to predict pregnancy outcomes in patients with gestational diabetes in Wenzhou, China: a single-centre retrospective cohort study
    Bingru Chen, Lanxi Chen, Xiner Zhao, Tao You, Zhi Zheng, Yilin Chen, Shuoru Zhu
    BMJ Open.2024; 14(11): e086703.     CrossRef
  • The Predictive Power of the Mother’s Neck Circumference in the Early Diagnosis of Gestational Diabetes Mellitus
    Mahin Balouchi Mahani, Mahtab Sattari, Akbar Mehralizade, Azam Amirian
    Journal of Nursing and Midwifery Sciences.2024;[Epub]     CrossRef
  • Insights into the pathogenesis of gestational and hepatic diseases: the impact of ferroptosis
    Yilan You, Zhiwen Qian, Ying Jiang, Lingyan Chen, Danping Wu, Lu Liu, Feng Zhang, Xin Ning, Yan Zhang, Jianping Xiao
    Frontiers in Cell and Developmental Biology.2024;[Epub]     CrossRef
  • The effect of diabetes education on maternal and neonatal outcomes in pregnant women diagnosed with gestational diabetes
    Serap Topkara, Çağanay Soysal
    BMC Pregnancy and Childbirth.2024;[Epub]     CrossRef
  • Administration of a diabetes-specific formula can improve postprandial glycemic control and delay insulin use in gestational diabetes mellitus: A randomized controlled trial from two centers
    Ruihua Yang, Weiling Han, Wei Zheng, Dong Xu, Jing He, Xianxian Yuan, Li Zhang, Zhihong Tian, Guanghui Li
    Clinical Nutrition.2024; 43(12): 265.     CrossRef
  • Circ‐ADAM9 Knockdown Reduces Insulin Resistance and Placental Injury in Diabetic Mice via MAPK Pathway Inactivation
    Ai Zhao, Yawen Yang, Yijun Yang, Zhenjing Chi, Yanlan Sun
    American Journal of Reproductive Immunology.2024;[Epub]     CrossRef
  • The Efficacy and Acceptability of Flash Glucose Monitoring in Pregnant Women with Gestational Diabetes Mellitus: A Systematic Review
    Franciszek Ługowski, Julia Babińska, Zofia Awiżeń-Panufnik, Ewelina Litwińska-Korcz, Magdalena Litwińska, Artur Ludwin, Paweł Jan Stanirowski
    Journal of Clinical Medicine.2024; 13(23): 7129.     CrossRef
  • Impact of Gestational Diabetes Mellitus on Fetal Growth and Nutritional Status in Newborns
    Karolina Karcz, Barbara Królak-Olejnik
    Nutrients.2024; 16(23): 4093.     CrossRef
  • Association of overweight and obesity with gestational diabetes mellitus among pregnant women attending antenatal care clinics in Addis Ababa, Ethiopia: a case-control study
    Yeabsra Mesfin Seifu, Negussie Deyessa, Yimer Seid Yimer
    BMJ Open.2024; 14(11): e082539.     CrossRef
  • Gestational diabetes mellitus and risk of neonatal respiratory distress syndrome: a systematic review and meta-analysis
    Fang Yang, Hua Liu, Cuixia Ding
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Gestational Diabetes, the Human Milk Metabolome, and Infant Growth and Adiposity
    Emily M. Nagel, Armando Peña, Jonathan M. Dreyfuss, Eric F. Lock, Kelsey E. Johnson, Chang Lu, David A. Fields, Ellen W. Demerath, Elvira Isganaitis
    JAMA Network Open.2024; 7(12): e2450467.     CrossRef
  • Prediction of Possible Adverse Effects of Gestational Diabetes Mellitus on Maternal and Fetal Glomeruli by Urine and Amniotic Fluid Podocyte Degradation Products
    Fatma Tanilir Cagiran, Nihal Mavral, Zercan Kali, Pinar Kirici
    Diagnostics.2024; 14(24): 2771.     CrossRef
  • LncRNAs Involved in Antioxidant Response Regulation as Biomarkers of Gestational Diabetes: A Study on H19, MALAT1 and MEG3
    Jovana Stevanović, Uroš Petrović, Ana Penezić, Ognjen Radojičić, Daniela Ardalić, Milica Mandić, Vesna Mandić-Marković, Željko Miković, Miloš Brkušanin, Olgica Nedić, Zorana Dobrijević
    Antioxidants.2024; 13(12): 1503.     CrossRef
  • Decreased telomerase activity and shortened telomere length in infants whose mothers have gestational diabetes mellitus and increased severity of telomere shortening in male infants
    Shuhua Liu, Liping Xu, Yan Cheng, Dehong Liu, Bin Zhang, Xianxia Chen, Mingming Zheng
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Infants of Diabetic Mothers and Associated Complications in the Neonatal Intensive Care Unit
    Hussain A Al Ghadeer, Ahad A Mohamed , Mariam A Alali, Kulthum A Al Mahdi, Sajeda M Almishal, Tawfiq M Aljubran, Abdulelah A Alneamah , Roaa S Alduhmush , Mohammed J Alobaid , Tarfh S Alsaad , Hayam S Almoagal, Abdullah M Albuali , Mudhawi F Alsu
    Cureus.2024;[Epub]     CrossRef
  • U-shaped Association Between Folic Acid Supplementation and the Risk of Gestational Diabetes Mellitus in Chinese Women
    Jiuming Zou, Qiang Fu, Xiaoliu Huang, Zhao Yao, Weiye Wang
    Canadian Journal of Diabetes.2023; 47(1): 78.     CrossRef
  • Vitamin D Supplementation for the Outcomes of Patients with Gestational Diabetes Mellitus and Neonates: A Meta-Analysis and Systematic Review
    Chunfeng Wu, Yang Song, Xueying Wang, Pier P. Sainaghi
    International Journal of Clinical Practice.2023; 2023: 1.     CrossRef
  • Lipolysis and gestational diabetes mellitus onset: a case-cohort genome-wide association study in Chinese
    Miao Zhang, Qing Li, Kai-Lin Wang, Yao Dong, Yu-Tong Mu, Yan-Min Cao, Jin Liu, Zi-Heng Li, Hui-Lu Cui, Hai-Yan Liu, An-Qun Hu, Ying-Jie Zheng
    Journal of Translational Medicine.2023;[Epub]     CrossRef
  • Interactive effect of prepregnancy overweight/obesity and GDM history on prevalence of GDM in biparous women
    Xia Xu, Feipeng Huang, Yanni Guo, Lianghui Zheng, Jianying Yan
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Microbiome Changes in Pregnancy Disorders
    Luca Giannella, Camilla Grelloni, Dayana Quintili, Alessia Fiorelli, Ramona Montironi, Sonila Alia, Giovanni Delli Carpini, Jacopo Di Giuseppe, Arianna Vignini, Andrea Ciavattini
    Antioxidants.2023; 12(2): 463.     CrossRef
  • Effects of early standardized management on the growth trajectory of offspring with gestational diabetes mellitus at 0–5 years old: a preliminary longitudinal study
    Bingbing Guo, Jingjing Pei, Yin Xu, Yajie Wang, Xinye Jiang
    Scientific Reports.2023;[Epub]     CrossRef
  • Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm
    Xiaoqi Hu, Xiaolin Hu, Ya Yu, Jia Wang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Prevalence and outcomes of gestational diabetes mellitus in Indian women: Insights from a large real-world study over ten years at tertiary care research institute
    Sanjay Gupte, Gayatri Venkataraman, Aarti S. Shah, Shalaka Jamenis, Chandrakant Rao, Shweta M. Jangam, Kaveri M. Adki, Onkar C. Swami
    International Journal of Diabetes in Developing Countries.2023; 43(4): 511.     CrossRef
  • Gestational diabetes mellitus: state of art
    S. A. Pletneva, E. V. Enkova, O. V. Khoperskaya, S. V. Shamarin, V. V. Enkova
    Meditsinskiy sovet = Medical Council.2023; (5): 136.     CrossRef
  • Effect of folic acid supplementation in the association between short sleep duration and gestational diabetes mellitus
    Zhen Yang, Sisi Hu, Wei Tong, Zhihao Xu, Xiaoliu Huang, Weiye Wang
    Sleep and Breathing.2023; 27(6): 2509.     CrossRef
  • Birth weight and large for gestational age trends in offspring of pregnant women with gestational diabetes mellitus in southern China, 2012-2021
    Li-Rong He, Li Yu, Yong Guo
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Root causes of long-term complications of gestational diabetes mellitus: Metabolic disturbances of the host and gut microbiota
    Mingjin Tao, Gaochen Lu, Sheng Zhang, Pan Li
    Clinica Chimica Acta.2023; 548: 117490.     CrossRef
  • Analysis on Related Risk Factors for Gestational Diabetes Mellitus (GDM) in Subsequent Pregnancies in Multiparous Women with No History of GDM
    文静 张
    Advances in Clinical Medicine.2023; 13(07): 11628.     CrossRef
  • Fetoplacental endothelial dysfunction in gestational diabetes mellitus and maternal obesity: A potential threat for programming cardiovascular disease
    Mariana S. Diniz, Ursula Hiden, Inês Falcão-Pires, Paulo J. Oliveira, Luis Sobrevia, Susana P. Pereira
    Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2023; 1869(8): 166834.     CrossRef
  • Diagnosis and management of gestational diabetes mellitus
    Tae Jung Oh
    Journal of the Korean Medical Association.2023; 66(7): 414.     CrossRef
  • Hypoglycemia in Children: Major Endocrine-Metabolic Causes and Novel Therapeutic Perspectives
    Alessia Quarta, Daniela Iannucci, Miriana Guarino, Annalisa Blasetti, Francesco Chiarelli
    Nutrients.2023; 15(16): 3544.     CrossRef
  • Relation between weight gain during pregnancy and postpartum reclassification in gestational diabetes
    Sofia Coelho, Marta Canha, Ana Rita Leite, João Sérgio Neves, Ana Isabel Oliveira, Davide Carvalho, Maria do Céu Ameida
    Endocrine.2023; 82(2): 296.     CrossRef
  • Nurturing through Nutrition: Exploring the Role of Antioxidants in Maternal Diet during Pregnancy to Mitigate Developmental Programming of Chronic Diseases
    Mariana S. Diniz, Carina C. Magalhães, Carolina Tocantins, Luís F. Grilo, José Teixeira, Susana P. Pereira
    Nutrients.2023; 15(21): 4623.     CrossRef
  • Blood manganese level and gestational diabetes mellitus: a systematic review and meta-analysis
    Yingmei Sun, Yu Zhang
    Journal of Obstetrics and Gynaecology.2023;[Epub]     CrossRef
  • Multiparity increases the risk of diabetes by impairing the proliferative capacity of pancreatic β cells
    Joon Ho Moon, Joonyub Lee, Kyun Hoo Kim, Hyun Jung Kim, Hyeongseok Kim, Hye-Na Cha, Jungsun Park, Hyeonkyu Lee, So-young Park, Hak Chul Jang, Hail Kim
    Experimental & Molecular Medicine.2023; 55(10): 2269.     CrossRef
  • Physiological Mechanisms Inherent to Diabetes Involved in the Development of Dementia: Alzheimer’s Disease
    Himan Mohamed-Mohamed, Victoria García-Morales, Encarnación María Sánchez Lara, Anabel González-Acedo, Teresa Pardo-Moreno, María Isabel Tovar-Gálvez, Lucía Melguizo-Rodríguez, Juan José Ramos-Rodríguez
    Neurology International.2023; 15(4): 1253.     CrossRef
  • Synergistic effect between pre-pregnancy smoking and assisted reproductive technology on gestational diabetes mellitus in twin pregnancies
    Lingyu Zhang, Yan Huang, Mingjin Zhang, Yanqi Jin
    Acta Diabetologica.2023; 61(2): 205.     CrossRef
  • A Comprehensive Review of Gestational Diabetes Mellitus: Impacts on Maternal Health, Fetal Development, Childhood Outcomes, and Long-Term Treatment Strategies
    Vaishnavi S Nakshine, Sangita D Jogdand
    Cureus.2023;[Epub]     CrossRef
  • The role of dietary fiber on preventing gestational diabetes mellitus in an at-risk group of high triglyceride-glucose index women: a randomized controlled trial
    Yannan Cao, Jing Sheng, Dongyao Zhang, Li Chen, Ying Jiang, Decui Cheng, Yao Su, Yuexin Yu, Haoyi Jia, Pengyuan He, Li Wang, Xianming Xu
    Endocrine.2023; 82(3): 542.     CrossRef
  • Correlation between PAPP-A serum levels in the first trimester of pregnancy with the occurrence of gestational diabetes, a multicenter cohort study
    Sedigheh Borna, Masoumeh Ashrafzadeh, Marjan Ghaemi, Nasim Eshraghi, Nafiseh Hivechi, Sedigheh Hantoushzadeh
    BMC Pregnancy and Childbirth.2023;[Epub]     CrossRef
  • Impact of COVID-19 lockdown on glycemic levels during pregnancy: A retrospective analysis
    Erika Di Zazzo, Sergio Davinelli, Serena Panichella, Giovanni Scapagnini, Mariano Intrieri, Silvio Garofalo
    Open Medicine.2023;[Epub]     CrossRef
  • Advancements in Nutritional Strategies for Gestational Diabetes Management: A Systematic Review of Recent Evidence
    Juan Carlos Sánchez-García, Ines Saraceno López-Palop, Beatriz Piqueras-Sola, Jonathan Cortés-Martín, Elena Mellado-García, Inmaculada Muñóz Sánchez, Raquel Rodríguez-Blanque
    Journal of Clinical Medicine.2023; 13(1): 37.     CrossRef
  • Neuroprotective Potential of Punicalagin, a Natural Component of Pomegranate Polyphenols: A Review
    Peng Chen, ZhiLei Guo, Benhong Zhou
    Journal of Integrative Neuroscience.2023;[Epub]     CrossRef
  • Comparative efficacy and safety of glyburide, metformin, and insulin in treatment of gestational diabetes mellitus
    Jing Lin, Rong-zu Tu, Xun-yu Hong
    Medicine.2022;[Epub]     CrossRef
  • Stacking Ensemble Method for Gestational Diabetes Mellitus Prediction in Chinese Pregnant Women: A Prospective Cohort Study
    Ruiyi Liu, Yongle Zhan, Xuan Liu, Yifang Zhang, Luting Gui, Yimin Qu, Hairong Nan, Yu Jiang, Mehdi Gheisari
    Journal of Healthcare Engineering.2022; 2022: 1.     CrossRef
  • Secular increase in the prevalence of gestational diabetes and its associated adverse pregnancy outcomes from 2014 to 2021 in Hebei province, China
    Mei-Ling Tian, Li-Yan Du, Guo-Juan Ma, Ting Zhang, Xu-Yuan Ma, Ying-Kui Zhang, Zeng-Jun Tang
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Aquaporin-8 overexpression is involved in vascular structure and function changes in placentas of gestational diabetes mellitus patients
    Yanxing Shan, Jiawen Cui, Xinyi Kang, Weichun Tang, Yiling Lu, Ying Gao, Liping Chen
    Open Life Sciences.2022; 17(1): 1473.     CrossRef
  • Vitamin D status and levels of pro-inflammatory cytokines in newborns born to mothers with endocrine diseases
    N. E. Verisokina, L. Ya. Klimov, I. N. Zakharova, A. L. Zaplatnikov, V. V. Zubkov, A. A. Momotova, V. A. Kuryaninova, R. A. Atanesyan, T. V. Zhelezniakova, M. A. Petrosyan, D. V. Bobryshev, D. A. Volkov, Z. A. Magomadova
    Meditsinskiy sovet = Medical Council.2022; (19): 9.     CrossRef
  • IL-6 and IL-8: An Overview of Their Roles in Healthy and Pathological Pregnancies
    Aleksandra Vilotić, Mirjana Nacka-Aleksić, Andrea Pirković, Žanka Bojić-Trbojević, Dragana Dekanski, Milica Jovanović Krivokuća
    International Journal of Molecular Sciences.2022; 23(23): 14574.     CrossRef
  • Higher Muscle Mass Protects Women with Gestational Diabetes Mellitus from Progression to Type 2 Diabetes Mellitus
    Yujin Shin, Joon Ho Moon, Tae Jung Oh, Chang Ho Ahn, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(6): 890.     CrossRef
  • Identification of human placenta-derived circular RNAs and autophagy related circRNA-miRNA-mRNA regulatory network in gestational diabetes mellitus
    Yindi Bao, Jun Zhang, Yi Liu, Lianzhi Wu, Jing Yang
    Frontiers in Genetics.2022;[Epub]     CrossRef
  • The Role of Dietary Polyphenols in Pregnancy and Pregnancy-Related Disorders
    Mirjana Nacka-Aleksić, Andrea Pirković, Aleksandra Vilotić, Žanka Bojić-Trbojević, Milica Jovanović Krivokuća, Francesca Giampieri, Maurizio Battino, Dragana Dekanski
    Nutrients.2022; 14(24): 5246.     CrossRef
Original Articles
Technology/Device
Article image
Glucose Profiles Assessed by Intermittently Scanned Continuous Glucose Monitoring System during the Perioperative Period of Metabolic Surgery
Kyuho Kim, Sung Hee Choi, Hak Chul Jang, Young Suk Park, Tae Jung Oh
Diabetes Metab J. 2022;46(5):713-721.   Published online January 24, 2022
DOI: https://doi.org/10.4093/dmj.2021.0164
  • 10,668 View
  • 404 Download
  • 14 Web of Science
  • 14 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Continuous glucose monitoring (CGM) has been widely used in the management of diabetes. However, the usefulness and detailed data during perioperative status were not well studied. In this study, we described the immediate changes of glucose profiles after metabolic surgery using intermittently scanned CGM (isCGM) in individuals with type 2 diabetes mellitus (T2DM).
Methods
This was a prospective, single-center, single-arm study including 20 participants with T2DM. The isCGM (FreeStyle Libre CGM) implantation was performed within 2 weeks before surgery. We compared CGM metrics of 3 days before surgery and 3 days after surgery, and performed the correlation analyses with clinical variables.
Results
The mean glucose significantly decreased after surgery (147.0±40.4 to 95.5±17.1 mg/dL, P<0.001). Time in range (TIR; 70 to 180 mg/dL) did not significantly change after surgery in total. However, it was significantly increased in a subgroup of individuals with glycosylated hemoglobin (HbA1c) ≥8.0%. Time above range (>250 or 180 mg/dL) was significantly decreased in total. In contrast, time below range (<70 or 54 mg/dL) was significantly increased in total and especially in a subgroup of individuals with HbA1c <8.0% after surgery. The coefficient of variation significantly decreased after surgery. Higher baseline HbA1c was correlated with greater improvement in TIR (rho=0.607, P=0.005).
Conclusion
The isCGM identified improvement of mean glucose and glycemic variability, and increase of hypoglycemia after metabolic surgery, but TIR was not significantly changed after surgery. We detected an increase of TIR only in individuals with HbA1c ≥8.0%.

Citations

Citations to this article as recorded by  
  • Impact of Carbohydrate Intake Fluctuations on Glucose Profiles: Insights from Continuous Glucose Monitoring-Based Patient Clustering
    Hyun Ah Kim, Kyung Hee Kim, Young Lee, Yoon-Ju Song, Joon Ho Moon, Sung Hee Choi, Tae Jung Oh
    Endocrinology and Metabolism.2026; 41(1): 152.     CrossRef
  • Perioperative screening and management of hyperglycemia: a joint position statement from the Brazilian Diabetes Society (SBD), the Brazilian Society of Anesthesiology (SBA) and the Brazilian Association for the Study of Obesity and Metabolic Syndrome (ABE
    Emerson Cestari Marino, Leandra Anália Freitas Negretto, Rogério Silicani Ribeiro, Denise Momesso, Alina Coutinho Rodrigues Feitosa, Marcos Tadashi Kakitani Toyoshima, Joaquim Custódio da Silva Junior, Sérgio Vencio, Marcio Weissheimer Lauria, João Robert
    Diabetology & Metabolic Syndrome.2026;[Epub]     CrossRef
  • Continuous peri-operative glucose monitoring in noncardiac surgery
    Alessandro Putzu, Elliot Grange, Raoul Schorer, Eduardo Schiffer, Karim Gariani
    European Journal of Anaesthesiology.2025; 42(2): 162.     CrossRef
  • Reality of post-gastrectomy stress hyperglycemia revealed by continuous glucose monitoring: a prospective study
    Keiji Nishibeppu, Takeshi Kubota, Yudai Nakabayashi, Hiroyuki Inoue, Kazuya Takabatake, Takuma Ohashi, Hirotaka Konishi, Atsushi Shiozaki, Hitoshi Fujiwara, Eigo Otsuji
    Surgery Today.2025; 55(8): 1181.     CrossRef
  • The usefulness of continuous glucose monitoring in the diagnostic approach to hypoglycemia after metabolic surgery
    Diana Cristina Henao, Ana María Gómez, Sofía Robledo, Ricardo Rosero
    Mini-invasive Surgery.2025;[Epub]     CrossRef
  • Moving Beyond Glycated Hemoglobin to Glucose Patterns: Newer Indications for Continuous Glucose Monitor Use
    Shubham Agarwal, Ron T. Varghese, Renato Savian, Cecilia C. Low Wang, Rodolfo J. Galindo
    Endocrine Practice.2025; 31(8): 1046.     CrossRef
  • Predicting hypoglycemia risk after gastrointestinal surgery in type 2 diabetes mellitus: a retrospective cohort study
    Huilan Yao, Shijin Yuan, Hongying Pan, Sisi Hong, Chen Huang, Linfang Zhao, Hongdi Yuan, Lei Mei, Yinghong Zheng, Xiaolong Liu, Weina Lu
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Nutriomics and artificial intelligence nutrition obesity cohort (NAINOC): a design paper for a prospective cohort for nutrition and obesity research
    Minyoung Lee, Sungha Park, Soo-Hyun Park, Ho-Young Park, Yu Ra Lee, Min-Sun Kim, Miso Nam, Jangho Lee, Hyein Seo, Yong-ho Lee, Chan Joo Lee, Jae-Ho Park, Hye Hyun Yoo, Hyun-Jin Kim, Kyong-Oh Shin, Yoshikazu Uchida, Kyungho Park
    Clinical Hypertension.2025;[Epub]     CrossRef
  • Comparative Effect of Glucose-Lowering Drugs for Type 2 Diabetes Mellitus on Stroke Prevention: A Systematic Review and Network Meta-Analysis
    Ji Soo Kim, Gyeongsil Lee, Kyung-Il Park, Seung-Won Oh
    Diabetes & Metabolism Journal.2024; 48(2): 312.     CrossRef
  • Continuous Glucose Monitoring Captures Glycemic Variability After Roux-en-Y Gastric Bypass in Patients with and Without Type 2 Diabetes Mellitus: A Prospective Cohort Study
    Raquel do A. P. Quevedo, Maria Edna de Melo, Cintia Cercato, Ariana E. Fernandes, Anna Carolina B. Dantas, Marco Aurélio Santo, Denis Pajecki, Marcio C. Mancini
    Obesity Surgery.2024; 34(8): 2789.     CrossRef
  • Perioperative Management of Adult Patients with Diabetes Wearing Devices: A Society for Perioperative Assessment and Quality Improvement (SPAQI) Expert Consensus Statement
    Adriana D. Oprea, Smita K. Kalra, Elizabeth W. Duggan, Linda L. Russell, Richard D. Urman, Basem B. Abdelmalak, Preethi Patel, Kurt J. Pfeifer, Paul J. Grant, Marina M. Charitou, Carlos E. Mendez, Jennifer L. Sherr, Guillermo E. Umpierrez, David C. Klonof
    Journal of Clinical Anesthesia.2024; 99: 111627.     CrossRef
  • Consensus Considerations and Good Practice Points for Use of Continuous Glucose Monitoring Systems in Hospital Settings
    Julie L.V. Shaw, Raveendhara R. Bannuru, Lori Beach, Nuha A. ElSayed, Guido Freckmann, Anna K. Füzéry, Angela W.S. Fung, Jeremy Gilbert, Yun Huang, Nichole Korpi-Steiner, Samantha Logan, Rebecca Longo, Dylan MacKay, Lisa Maks, Stefan Pleus, Kendall Rogers
    Diabetes Care.2024; 47(12): 2062.     CrossRef
  • Use of Continuous Glucose Monitoring in Patients Following Bariatric Surgery: A Scoping Review
    Yang Yu, Susan W. Groth
    Obesity Surgery.2023; 33(8): 2573.     CrossRef
  • Asymptomatic Hypoglycemia after Metabolic Surgery: New Insights from Perioperative Continuous Glucose Monitoring
    Sang-Man Jin
    Diabetes & Metabolism Journal.2022; 46(5): 675.     CrossRef
Complications
Article image
SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy
Tae Jung Oh, Yoojung Song, Hak Chul Jang, Sung Hee Choi
Diabetes Metab J. 2022;46(2):319-326.   Published online September 16, 2021
DOI: https://doi.org/10.4093/dmj.2021.0014
  • 13,019 View
  • 435 Download
  • 26 Web of Science
  • 27 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Screening for diabetic peripheral neuropathy (DPN) is important to prevent severe foot complication, but the detection rate of DPN is unsatisfactory. We investigated whether SUDOSCAN combined with Michigan Neuropathy Screening Instrument (MNSI) could be an effective tool for screening for DPN in people with type 2 diabetes mellitus (T2DM) in clinical practice.
Methods
We analysed the data for 144 people with T2DM without other cause of neuropathy. The presence of DPN was confirmed according to the Toronto Consensus criteria. Electrochemical skin conductance (ESC) of the feet was assessed using SUDOSCAN. We compared the discrimination power of following methods, MNSI only vs. SUDOSCAN only vs. MNSI plus SUDOSCAN vs. MNSI plus 10-g monofilament test.
Results
Confirmed DPN was detected in 27.8% of the participants. The optimal cut-off value of feet ESC to distinguish DPN was 56 μS. We made the DPN screening scores using the corresponding odds ratios for MNSI-Questionnaire, MNSI-Physical Examination, SUDOSCAN, and 10-g monofilament test. For distinguishing the presence of DPN, the MNSI plus SUDOSCAN model showed higher areas under the receiver operating characteristic curve (AUC) than MNSI only model (0.717 vs. 0.638, P=0.011), and SUDOSCAN only model or MNSI plus 10-g monofilament test showed comparable AUC with MNSI only model.
Conclusion
The screening model for DPN that includes both MNSI and SUDOSCAN can detect DPN with acceptable discrimination power and it may be useful in Korean patients with T2DM.

Citations

Citations to this article as recorded by  
  • Automated Insulin Delivery Beyond Glycemic Outcomes: Endpoints and Evidence
    Hanna C. Jones, Steven Trawley, Alicia J. Jenkins, Richard J. MacIsaac, Yee Wen Kong, Dale Morrison, David N. O’Neal
    Diabetes Technology & Therapeutics.2026; 28(4): 295.     CrossRef
  • Neuropatía diabética y su relación con la calidad de vida en pacientes con diabetes tipo 2
    Jarek Ramón Arévalo Ramírez, Daniela Leticia Castañón Sánchez, Oscar Isaías Vargas Ordoñez, Hilda Sara Camarena Velázquez, María del Carmen Aguirre García, Mónica Catalina Osorio Granjeno
    Atención Primaria.2026; 58(5): 103454.     CrossRef
  • Autonomic Dysfunction and Ocular Complications: The Role of Sudoscan in Diabetic Retinopathy Screening
    Andra-Elena Nica, Emilia Rusu, Carmen Dobjanschi, Florin Rusu, Claudia Sivu, Oana Andreea Parliteanu, Ioana Verde, Andreea Andrita, Gabriela Radulian
    Diabetology.2026; 7(4): 63.     CrossRef
  • Sudoscan® reclassifies cardiovascular risk in patients with type 2 diabetes mellitus according to the ESC 2023
    Cesar Alejandro Figueroa-Perez, Maria Elena Romero-Ibarguengoitia, Arnulfo Garza-Silva, Iván Francisco Fernández-Chau, Andrea Belinda Cepeda-Medina, Sofía Garza-González, Dalia Gutierrez-González, Arnulfo González-Cantú
    Journal of Diabetes & Metabolic Disorders.2025;[Epub]     CrossRef
  • Sensors and Devices Based on Electrochemical Skin Conductance and Bioimpedance Measurements for the Screening of Diabetic Foot Syndrome: Review and Meta-Analysis
    Federica Verdini, Alessandro Mengarelli, Gaetano Chemello, Benedetta Salvatori, Micaela Morettini, Christian Göbl, Andrea Tura
    Biosensors.2025; 15(2): 73.     CrossRef
  • Effect of high-dose N-acetyl cysteine on the clinical outcome of patients with diabetic peripheral neuropathy: a randomized controlled study
    Sherien Mohamed Emara, Sarah Farid Fahmy, Mona Mohamed AbdelSalam, Lamia Mohamed El Wakeel
    Diabetology & Metabolic Syndrome.2025;[Epub]     CrossRef
  • Electrochemical skin conductance: a tool for risk stratification and early anticipation of diabetic foot ulcers
    Jean-François Gautier, Jean-Pierre Riveline, Louis Potier, Olivier Bourron, Lyse Bordier, Benjamin Vittrant, Ronan Roussel, Bernard Bauduceau
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Sudomotor Dysfunction as an Early Marker of Autonomic and Cardiovascular Risk in Diabetes: Insights from a Cross-Sectional Study Using SUDOSCAN
    Larisa Anghel, Claudiu Cobuz, Laura-Cătălina Benchea, Vasile Maciuc, Maricela Cobuz, Radu-Andy Sascău, Cristian Stătescu
    Biosensors.2025; 15(6): 372.     CrossRef
  • Evaluation of the efficacy of Yiqi Jiedu decoction on diabetic peripheral neuropathy and related brain function changes: A randomized controlled trial protocol
    Chaofan Sun, Guoxing Ling, Chunquan Sun, Xingzhong Feng
    European Journal of Integrative Medicine.2025; 78: 102543.     CrossRef
  • Sudomotor Dysfunction of Feet Is Associated with Cardiac Autonomic Neuropathy in Patients with Type 2 Diabetes: A Cross-Sectional Study
    Alexandra Gogan, Sandra Lazar, Ovidiu Potre, Vlad-Florian Avram, Andreea Herascu, Minodora Andor, Florina Caruntu, Bogdan Timar
    Medicina.2025; 61(10): 1848.     CrossRef
  • The Assessment of the Autonomic Polyneuropathy Through Sudoscan and Vitamin B12 in Patients with Type 2 Diabetes Mellitus and High Cardiovascular Risk or Established Cardiovascular Disease
    Cristina Mocanu (Chitan), Teodor Salmen, Anca Pantea Stoian, Cristian Serafinceanu
    Biomedicines.2025; 14(1): 18.     CrossRef
  • Association of sudomotor dysfunction with risk of diabetic retinopathy in patients with type 2 diabetes
    Ming Wang, Niuniu Chen, Yaxin Wang, Jiaying Ni, Jingyi Lu, Weijing Zhao, Yating Cui, Ronghui Du, Wei Zhu, Jian Zhou
    Endocrine.2024; 84(3): 951.     CrossRef
  • Vitamin D deficiency increases the risk of diabetic peripheral neuropathy in elderly type 2 diabetes mellitus patients by predominantly increasing large-fiber lesions
    Sijia Fei, Jingwen Fan, Jiaming Cao, Huan Chen, Xiaoxia Wang, Qi Pan
    Diabetes Research and Clinical Practice.2024; 209: 111585.     CrossRef
  • Early detection of diabetic neuropathy based on health belief model: a scoping review
    Okti Sri Purwanti, Nursalam Nursalam, Moses Glorino Rumambo Pandin
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Whether coagulation dysfunction influences the onset and progression of diabetic peripheral neuropathy: A multicenter study in middle‐aged and aged patients with type 2 diabetes
    Jiali Xie, Xinyue Yu, Luowei Chen, Yifan Cheng, Kezheng Li, Mengwan Song, Yinuo Chen, Fei Feng, Yunlei Cai, Shuting Tong, Yuqin Qian, Yiting Xu, Haiqin Zhang, Junjie Yang, Zirui Xu, Can Cui, Huan Yu, Binbin Deng
    CNS Neuroscience & Therapeutics.2024;[Epub]     CrossRef
  • From Sudoscan to bedside: theory, modalities, and application of electrochemical skin conductance in medical diagnostics
    Benjamin Vittrant, Hanna Ayoub, Philippe Brunswick
    Frontiers in Neuroanatomy.2024;[Epub]     CrossRef
  • Diagnostic Accuracy of Screening Tests for Diabetic Peripheral Neuropathy: An Umbrella Review
    María Mogilevskaya, Mariana Gaviria-Carrillo, John Edwin Feliciano-Alfonso, Ana M. Barragan, Carlos A. Calderon-Ospina, Mauricio O. Nava-Mesa, Syed Anees Ahmed
    Journal of Diabetes Research.2024;[Epub]     CrossRef
  • Peripheral Neuropathy in Diabetes Mellitus: Pathogenetic Mechanisms and Diagnostic Options
    Raffaele Galiero, Alfredo Caturano, Erica Vetrano, Domenico Beccia, Chiara Brin, Maria Alfano, Jessica Di Salvo, Raffaella Epifani, Alessia Piacevole, Giuseppina Tagliaferri, Maria Rocco, Ilaria Iadicicco, Giovanni Docimo, Luca Rinaldi, Celestino Sardu, T
    International Journal of Molecular Sciences.2023; 24(4): 3554.     CrossRef
  • Screening for diabetic peripheral neuropathy in resource-limited settings
    Ken Munene Nkonge, Dennis Karani Nkonge, Teresa Njeri Nkonge
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • The value of electrochemical skin conductance measurement by Sudoscan® for assessing autonomic dysfunction in peripheral neuropathies beyond diabetes
    Jean-Pascal Lefaucheur
    Neurophysiologie Clinique.2023; 53(2): 102859.     CrossRef
  • Electrochemical skin conductances values and clinical factors affecting sudomotor dysfunction in patients with prediabetes, type 1 diabetes, and type 2 diabetes: A single center experience
    Bedia Fulya Calikoglu, Selda Celik, Cemile Idiz, Elif Bagdemir, Halim Issever, Jean-Henri Calvet, Ilhan Satman
    Primary Care Diabetes.2023; 17(5): 499.     CrossRef
  • Autonomic Nerve Function Tests in Patients with Diabetes
    Heung Yong Jin, Tae Sun Park
    The Journal of Korean Diabetes.2023; 24(2): 71.     CrossRef
  • Validation of the Body Scan®, a new device to detect small fiber neuropathy by assessment of the sudomotor function: agreement with the Sudoscan®
    Jean-Pierre Riveline, Roberto Mallone, Clarisse Tiercelin, Fetta Yaker, Laure Alexandre-Heymann, Lysa Khelifaoui, Florence Travert, Claire Fertichon, Jean-Baptiste Julla, Tiphaine Vidal-Trecan, Louis Potier, Jean-Francois Gautier, Etienne Larger, Jean-Pas
    Frontiers in Neurology.2023;[Epub]     CrossRef
  • Electrochemical Skin Conductance by Sudoscan in Non-Dialysis Chronic Kidney Disease Patients
    Liang-Te Chiu, Yu-Li Lin, Chih-Hsien Wang, Chii-Min Hwu, Hung-Hsiang Liou, Bang-Gee Hsu
    Journal of Clinical Medicine.2023; 13(1): 187.     CrossRef
  • The Presence of Clonal Hematopoiesis Is Negatively Associated with Diabetic Peripheral Neuropathy in Type 2 Diabetes
    Tae Jung Oh, Han Song, Youngil Koh, Sung Hee Choi
    Endocrinology and Metabolism.2022; 37(2): 243.     CrossRef
  • Case report: Significant relief of linezolid-induced peripheral neuropathy in a pre-XDR-TB case after acupuncture treatment
    Yuping Mo, Zhu Zhu, Jie Tan, Zhilin Liang, Jiahui Wu, Xingcheng Chen, Ming Hu, Peize Zhang, Guofang Deng, Liang Fu
    Frontiers in Neurology.2022;[Epub]     CrossRef
  • Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes
    Ana Cristina García-Ulloa, Paloma Almeda-Valdes, Teresa Enedina Cuatecontzi-Xochitiotzi, Jorge Alberto Ramírez-García, Michelle Díaz-Pineda, Fernanda Garnica-Carrillo, Alejandra González-Duarte, K M Venkat Narayan, Carlos Alberto Aguilar-Salinas, Sergio H
    BMJ Open Diabetes Research & Care.2022; 10(6): e003005.     CrossRef
COVID-19
Article image
Effects of Social Distancing on Diabetes Management in Older Adults during COVID-19 Pandemic
Soo Myoung Shin, Tae Jung Oh, Sung Hee Choi, Hak Chul Jang
Diabetes Metab J. 2021;45(5):765-772.   Published online August 30, 2021
DOI: https://doi.org/10.4093/dmj.2021.0096
  • 10,612 View
  • 213 Download
  • 13 Web of Science
  • 13 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
On March 22, 2020, intense social distancing (SD) was implemented in Korea to prevent the spread of coronavirus disease 19 (COVID-19). This study examined the impact of SD on diabetes control in older adults with diabetes.
Methods
Adults aged 60 to 90 years with type 2 diabetes mellitus who were physically and mentally independent were recruited. Participants who had complete blood chemistry data from April to July 2019 (pre-SD era) and April to July 2020 (SD era) were enrolled. Data were obtained about physical activity, nutrition, sarcopenia, and psychological and mental health from questionnaires in April to July 2020. Calf circumference was measured.
Results
In total, 246 people (100 men, 146 women; mean age, 73.8±5.7 years) participated in this study. The levels of glycated hemoglobin (HbA1c, 7.4%±1.0% vs. 7.1%±0.8%, P<0.001), fasting glucose (142.2±16.7 mg/dL vs. 132.0±27.7 mg/dL, P<0.001), and body weight (62.6±9.4 kg vs. 61.8±10.1 kg, P<0.01) were higher in the SD era than in the pre-SD era. Total physical activity was lower in the SD era (2,584.6±2,624.1 MET-min/week–1 vs. 1,987.3±2,295.0 MET-min/week–1, P<0.001). A larger increase in HbA1c level was associated with increased body weight and decreased physical activity.
Conclusion
SD had negative effects on diabetes management in older adults with diabetes. Fasting glucose and HbA1c levels and body weight increased during the SD era. Participants with reduced physical activity gained more weight and had higher blood glucose levels. Given that the COVID-19 pandemic is ongoing, health professionals and diabetes educators should monitor changes in lifestyle factors in older adults with diabetes.

Citations

Citations to this article as recorded by  
  • Effects of Pilates exercise on glycated hemoglobin and fasting blood sugar in type 2 diabetes: a systematic review and meta-analysis
    Se-Na Yu, Hee-Jin Moon, Myung-Haeng Hur
    Journal of Korean Biological Nursing Science.2025; 27(3): 317.     CrossRef
  • Trend and quality of care for diabetic patients in diabetes outpatient clinics before and during the COVID-19 pandemic
    Atefeh Vaezi, Alireza Esteghamati, Fatemeh Ghaemi, Roxana Peysepar, Niloofar Deravi, Alipasha Meysamie
    BMC Health Services Research.2025;[Epub]     CrossRef
  • Preliminary efficacy of a technology-based physical activity intervention for older Korean adults during the COVID-19 pandemic
    Soonhyung Kwon, Oejin Shin, Rosalba Hernandez
    Educational Gerontology.2024; 50(1): 27.     CrossRef
  • Official risk communication for COVID-19 and beyond: can we do a better job?
    Faina Linkov, Christopher L. Cummings, David J. Dausey
    Environment Systems and Decisions.2024; 44(2): 293.     CrossRef
  • Coping with the Care of Older Adults During the COVID-19 Pandemic in Central America: a Legal and Public Health Perspective
    Roberth Steven Gutiérrez-Murillo, Patricia Krieger Grossi
    Journal of Population Ageing.2024; 17(4): 835.     CrossRef
  • Obesity and weight change during the COVID‐19 pandemic in children and adults: A systematic review and meta‐analysis
    Laura N. Anderson, Yulika Yoshida‐Montezuma, Nora Dewart, Ezza Jalil, Jayati Khattar, Vanessa De Rubeis, Sarah Carsley, Lauren E. Griffith, Lawrence Mbuagbaw
    Obesity Reviews.2023;[Epub]     CrossRef
  • Changes in lifestyle-related behaviour during the COVID-19 pandemic in Japan: a questionnaire survey for examinees who underwent an annual health check-up
    Miyako Kishimoto, Kayo Masuko, Sumie Yamamoto, Retsu Fujita, Shoko Nakamura, Masato Odawara, Mikio Zeniya
    Journal of International Medical Research.2023;[Epub]     CrossRef
  • Glycaemic monitoring and control among high-risk patients with type 2 diabetes in Australian general practice during COVID-19
    Kirrilee Jane Barlow, Paul P Fahey, Evan Atlantis
    Family Medicine and Community Health.2023; 11(3): e002271.     CrossRef
  • Social isolation, loneliness and subsequent risk of major adverse cardiovascular events among individuals with type 2 diabetes mellitus
    Yannis Yan Liang, Yilin Chen, Hongliang Feng, Huachen Xue, Yu Nie, Qi‐Yong H Ai, Jiacheng Ma, Lulu Yang, Jihui Zhang, Sizhi Ai
    General Psychiatry.2023;[Epub]     CrossRef
  • Stress, Depression, and Unhealthy Behavior Changes among Patients with Diabetes during COVID-19 in Korea
    Hae Ran Kim, Jeong-Soon Kim
    Healthcare.2022; 10(2): 303.     CrossRef
  • Reply to comment on “Unexpected decline in glycated hemoglobin level after emergency COVID‐19 measures in three robust older Japanese women with prediabetes/mild type 2 diabetes”
    Tazuo Okuno, Osamu Iritani, Kumie Kodera, Daisuke Hama, Asami Kane, Kozue Morigaki, Toshio Terai, Norie Maeno, Shigeto Morimoto
    Geriatrics & Gerontology International.2022; 22(7): 541.     CrossRef
  • Anxiety, Distress and Stress among Patients with Diabetes during COVID-19 Pandemic: A Systematic Review and Meta-Analysis
    Rubén A. García-Lara, José L. Gómez-Urquiza, María José Membrive-Jiménez, Almudena Velando-Soriano, Monserrat E. Granados-Bolivar, José L. Romero-Béjar, Nora Suleiman-Martos
    Journal of Personalized Medicine.2022; 12(9): 1412.     CrossRef
  • Prevalence of Depression and Related Factors among Patients with Chronic Disease during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis
    Rubén A. García-Lara, Nora Suleiman-Martos, María J. Membrive-Jiménez, Victoria García-Morales, Miguel Quesada-Caballero, Isabel M. Guisado-Requena, José L. Gómez-Urquiza
    Diagnostics.2022; 12(12): 3094.     CrossRef
Metabolic Risk/Epidemiology
Article image
Maternal Hyperglycemia during Pregnancy Increases Adiposity of Offspring
Hye Rim Chung, Joon Ho Moon, Jung Sub Lim, Young Ah Lee, Choong Ho Shin, Joon-Seok Hong, Soo Heon Kwak, Sung Hee Choi, Hak Chul Jang
Diabetes Metab J. 2021;45(5):730-738.   Published online February 22, 2021
DOI: https://doi.org/10.4093/dmj.2020.0154
  • 10,727 View
  • 223 Download
  • 19 Web of Science
  • 20 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The effect of intrauterine hyperglycemia on fat mass and regional fat proportion of the offspring of mothers with gestational diabetes mellitus (OGDM) remains to be determined.
Methods
The body composition of OGDM (n=25) and offspring of normoglycemic mothers (n=49) was compared using dualenergy X-ray absorptiometry at age 5 years. The relationship between maternal glucose concentration during a 100 g oral glucose tolerance test (OGTT) and regional fat mass or proportion was analyzed after adjusting for maternal prepregnancy body mass index (BMI).
Results
BMI was comparable between OGDM and control (median, 16.0 kg/m2 vs. 16.1 kg/m2 ). Total, truncal, and leg fat mass were higher in OGDM compared with control (3,769 g vs. 2,245 g, P=0.004; 1,289 g vs. 870 g, P=0.017; 1,638 g vs. 961 g, P=0.002, respectively), whereas total lean mass was lower in OGDM (15,688 g vs. 16,941 g, P=0.001). Among OGDM, total and truncal fat mass were correlated with fasting and 3-hour glucose concentrations of maternal 100 g OGTT during pregnancy (total fat mass, r=0.49, P=0.018 [fasting], r=0.473, P=0.023 [3-hour]; truncal fat mass, r=0.571, P=0.004 [fasting], r=0.558, P=0.006 [3-hour]), but there was no correlation between OGDM leg fat mass and maternal OGTT during pregnancy. Regional fat indices were not correlated with concurrent maternal 75 g OGTT values.
Conclusion
Intrauterine hyperglycemia is associated with increased fat mass, especially truncal fat, in OGDM aged 5 years.

Citations

Citations to this article as recorded by  
  • Exploring the Role of Kisspeptin in Polycystic Ovary Syndrome and Its Associated Pregnancy Complications
    Shaohua Zhang, Xinmeng Sun, Haiyun Guan, Rongmin Wang, Wei Zhang, Hexia Xia
    Obesity Reviews.2026; 27(1): 1.     CrossRef
  • Long-term risk of offspring type 1 and type 2 diabetes following maternal gestational diabetes mellitus: a nationwide birth cohort study with 10-year follow-up
    Joon Ho Moon, Han Na Jung, Bongseong Kim, Jaehyun Kim, Young Mi Jung, Hyeon Ji Kim, Jee Yoon Park, Tae Jung Oh, Soo Heon Kwak, Kyung-Do Han, Sung Hee Choi
    BMC Medicine.2026;[Epub]     CrossRef
  • Hyperinsulinaemia as a cause of obesity and cardiometabolic diseases
    Nicola Guess, James D. Johnson, Allan Vaag, Abd A. Tahrani, Barbara Corkey, Jennifer E. Bruin, Jon P. Little
    Nature Reviews Endocrinology.2026;[Epub]     CrossRef
  • Diabetes in Pregnancy in Korea: Prevalence, Clinical Characteristics, and Postpartum Comorbidities
    Joon Ho Moon, Han Na Jung, Bongseong Kim, Seung-Hyun Ko, Soo Heon Kwak, Kyung-Do Han, Sung Hee Choi
    Diabetes & Metabolism Journal.2026; 50(2): 280.     CrossRef
  • Diabetes Fact Sheet 2025: Special Edition on Diabetes with Obesity and in Pregnancy
    Se Eun Park, Se Hee Min, Jin Hwa Kim, Seung-Hwan Lee, Han Na Jung, Joon Ho Moon, Kyungdo Han, Seung-Hyun Ko, Bong Soo Cha, Sung Hee Choi
    Diabetes & Metabolism Journal.2026; 50(2): 255.     CrossRef
  • Maternal high-fat diet programs offspring airway hyperinnervation and hyperresponsiveness
    Kayla R. Williams, Hoyt A.T.K. Bright, Allison D. Fryer, David B. Jacoby, Zhenying Nie
    JCI Insight.2025;[Epub]     CrossRef
  • Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications
    Jooyeop Lee, Na Keum Lee, Joon Ho Moon
    Endocrinology and Metabolism.2025; 40(1): 10.     CrossRef
  • Unveiling Gestational Diabetes: An Overview of Pathophysiology and Management
    Rahul Mittal, Karan Prasad, Joana R. N. Lemos, Giuliana Arevalo, Khemraj Hirani
    International Journal of Molecular Sciences.2025; 26(5): 2320.     CrossRef
  • 2025 Clinical Practice Guidelines for Diabetes Management in Korea: Recommendation of the Korean Diabetes Association
    Shinae Kang, Seon Mee Kang, Jong Han Choi, Seung-Hyun Ko, Bo Kyung Koo, Hyuk-Sang Kwon, Mi Kyung Kim, Sang Yong Kim, Soo-Kyung Kim, Young-eun Kim, Eun Sook Kim, Jae Hyeon Kim, Chong Hwa Kim, Ji Min Kim, Hae Jin Kim, Min Kyong Moon, Sun Joon Moon, Jun Sung
    Diabetes & Metabolism Journal.2025; 49(4): 582.     CrossRef
  • Risk factors of early-onset type 2 diabetes: A systematic review and meta-analysis
    Shengying Hu, Yizhu Zhang, Angela C. Y. Poon, Yan Ji, Botian Hou, Chenye Zhang, Hongyu Sun, Yumei Sun
    Diabetes & Vascular Disease Research.2025;[Epub]     CrossRef
  • The Characteristics of Course of Pregnancy and Perinatal Outcomes in Women with Gestation Diabetes Mellitus (The Results of Ten-Years Research)
    N. V. Batrak, I. V. Ivanova
    Problems of Social Hygiene, Public Health and History of Medicine.2025; 33(6): 1414.     CrossRef
  • Advances in free fatty acid profiles in gestational diabetes mellitus
    Haoyi Du, Danyang Li, Laura Monjowa Molive, Na Wu
    Journal of Translational Medicine.2024;[Epub]     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
    Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
    Diabetes & Metabolism Journal.2024; 48(4): 546.     CrossRef
  • Type 1 Diabetes and Pregnancy: Challenges in Glycemic Control and Maternal–Fetal Outcomes
    Tejumola Apata, Dennis Samuel, Laticia Valle, Sarah D. Crimmins
    Seminars in Reproductive Medicine.2024; 42(03): 239.     CrossRef
  • Association between serum free fatty acids and gestational diabetes mellitus
    Danyang Li, Haoyi Du, Na Wu
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • High-fat diet during pregnancy lowers fetal weight and has a long-lasting adverse effect on brown adipose tissue in the offspring
    Mihoko Yamaguchi, Jun Mori, Nozomi Nishida, Satoshi Miyagaki, Yasuhiro Kawabe, Takeshi Ota, Hidechika Morimoto, Yusuke Tsuma, Shota Fukuhara, Takehiro Ogata, Takuro Okamaura, Naoko Nakanishi, Masahide Hamaguchi, Hisakazu Nakajima, Michiaki Fukui, Tomoko I
    Journal of Developmental Origins of Health and Disease.2023; 14(2): 261.     CrossRef
  • Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms
    Byung Soo Kang, Seon Ui Lee, Subeen Hong, Sae Kyung Choi, Jae Eun Shin, Jeong Ha Wie, Yun Sung Jo, Yeon Hee Kim, Kicheol Kil, Yoo Hyun Chung, Kyunghoon Jung, Hanul Hong, In Yang Park, Hyun Sun Ko
    Scientific Reports.2023;[Epub]     CrossRef
  • Effects of early standardized management on the growth trajectory of offspring with gestational diabetes mellitus at 0–5 years old: a preliminary longitudinal study
    Bingbing Guo, Jingjing Pei, Yin Xu, Yajie Wang, Xinye Jiang
    Scientific Reports.2023;[Epub]     CrossRef
  • Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications
    Joon Ho Moon, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(1): 3.     CrossRef
  • Increased Pro-Inflammatory T Cells, Senescent T Cells, and Immune-Check Point Molecules in the Placentas of Patients With Gestational Diabetes Mellitus
    Yea Eun Kang, Hyon-Seung Yi, Min-Kyung Yeo, Jung Tae Kim, Danbit Park, Yewon Jung, Ok Soon Kim, Seong Eun Lee, Ji Min Kim, Kyong Hye Joung, Ju Hee Lee, Bon Jeong Ku, Mina Lee, Hyun Jin Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
Clinical Diabetes & Therapeutics
Effects of Lobeglitazone, a Novel Thiazolidinedione, on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus over 52 Weeks
Soo Lim, Kyoung Min Kim, Sin Gon Kim, Doo Man Kim, Jeong-Taek Woo, Choon Hee Chung, Kyung Soo Ko, Jeong Hyun Park, Yongsoo Park, Sang Jin Kim, Hak Chul Jang, Dong Seop Choi
Diabetes Metab J. 2017;41(5):377-385.   Published online October 24, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.5.377
  • 8,307 View
  • 70 Download
  • 25 Web of Science
  • 26 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

The aim of this multicenter, randomized, double-blind study was to examine the effect of lobeglitazone, a novel thiazolidinedione, on the changes in bone mineral density (BMD) in patients with type 2 diabetes mellitus.

Methods

A 24-week, double-blinded phase was followed by a 28-week, open-label phase, in which the placebo group also started to receive lobeglitazone. A total of 170 patients aged 34 to 76 years were randomly assigned in a 2:1 ratio to receive lobeglitazone 0.5 mg or a matching placebo orally, once daily. BMD was assessed using dual-energy X-ray absorptiometry at week 24 and at the end of the study (week 52).

Results

During the double-blinded phase, the femur neck BMD showed decreasing patterns in both groups, without statistical significance (−0.85%±0.36% and −0.78%±0.46% in the lobeglitazone and placebo groups, respectively). The treatment difference between the groups was 0.07%, which was also not statistically significant. Further, minimal, nonsignificant decreases were observed in both groups in the total hip BMD compared to values at baseline, and these differences also did not significantly differ between the groups. During the open-label phase, the BMD was further decreased, but not significantly, by −0.32% at the femur neck and by −0.60% at the total hip in the lobeglitazone group, and these changes did not significantly differ compared with the original placebo group switched to lobeglitazone.

Conclusion

Our results indicate that treatment with lobeglitazone 0.5 mg over 52 weeks showed no detrimental effect on the BMD compared to the placebo.

Citations

Citations to this article as recorded by  
  • Lobeglitazone improves glycaemic control as add‐on therapy to empagliflozin plus metformin in patients with type 2 diabetes mellitus: A double‐blind, randomised, placebo‐controlled trial
    Da Hea Seo, Kyung Wan Min, Ho Sang Sohn, Sang Yong Kim, In‐Kyung Jeong, Cheol‐Young Park, Kun‐Ho Yoon, So Hun Kim, Bong‐Soo Cha
    Diabetes, Obesity and Metabolism.2026; 28(1): 728.     CrossRef
  • Insights into the Chemistry, Pharmacokinetics and Analytical Techniques of Lobeglitazone: A Novel Anti-diabetic Drug
    Saradhkumar Mudaliar, Nandan Godani, Sanjay Sharma
    Current Analytical Chemistry.2026; 22(2): 185.     CrossRef
  • Medication-induced fractures: Screening and treatment strategies
    Laraib Javed, Aemen Khakwani, Uzair Khan, Mary Beth Humphrey
    The American Journal of the Medical Sciences.2025; 369(1): 1.     CrossRef
  • The Many Facets of PPAR-γ Agonism in Obesity and Associated Comorbidities: Benefits, Risks, Challenges, and Future Directions
    Dimitris Kounatidis, Natalia G. Vallianou, Eleni Rebelos, Marina Kouveletsou, Paraskevi Kontrafouri, Ioanna Eleftheriadou, Evanthia Diakoumopoulou, Irene Karampela, Nikolaos Tentolouris, Maria Dalamaga
    Current Obesity Reports.2025;[Epub]     CrossRef
  • Enhancing Diabetes Treatment: Comparing Pioglitazone/Metformin with Dapagliflozin Versus Basal Insulin/Metformin in Type 2 Diabetes
    Yi Lin, Jianxia Shi, Xuemei Yu, Jiao Sun, Suo Lixia, Jiaqing Dou, Min Zhang, Xiaohua Li, Zhufang Tian, Hongyan Deng, Bo Feng, Qing Su, Yongde Peng
    Drug Design, Development and Therapy.2025; Volume 19: 1795.     CrossRef
  • Early Prediction Model for Osteoporotic Fracture in Type 2 Diabetes Patients: A Nomogram Approach Based on a Single-Center Retrospective Study
    Peng Fei Liu, Yan Xin Ren, Peng Wang, Xiu Mei Ma, Kang Geng
    Diabetes, Metabolic Syndrome and Obesity.2025; Volume 18: 3447.     CrossRef
  • Efficacy and safety of novel thiazolidinedione lobeglitazone for managing type-2 diabetes a meta-analysis
    Deep Dutta, Saptarshi Bhattacharya, Manoj Kumar, Priyankar K. Datta, Ritin Mohindra, Meha Sharma
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(1): 102697.     CrossRef
  • Efficacy and safety of lobeglitazone, a new Thiazolidinedione, as compared to the standard of care in type 2 diabetes mellitus: A systematic review and meta-analysis
    Shashank R. Joshi, Saibal Das, Suja Xaviar, Shambo Samrat Samajdar, Indranil Saha, Sougata Sarkar, Shatavisa Mukherjee, Santanu Kumar Tripathi, Jyotirmoy Pal, Nandini Chatterjee
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(1): 102703.     CrossRef
  • The benefits of adipocyte metabolism in bone health and regeneration
    Lisa-Marie Burkhardt, Christian H. Bucher, Julia Löffler, Charlotte Rinne, Georg N. Duda, Sven Geissler, Tim J. Schulz, Katharina Schmidt-Bleek
    Frontiers in Cell and Developmental Biology.2023;[Epub]     CrossRef
  • Will lobeglitazone rival pioglitazone? A systematic review and critical appraisal
    Kalyan Kumar Gangopadhyay, Awadhesh Kumar Singh
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(4): 102747.     CrossRef
  • Comparison of therapeutic efficacy and safety of sitagliptin, dapagliflozin, or lobeglitazone adjunct therapy in patients with type 2 diabetes mellitus inadequately controlled on sulfonylurea and metformin: Third agent study
    Jun Hwa Hong, Jun Sung Moon, Kayeon Seong, Soo Lim
    Diabetes Research and Clinical Practice.2023; 203: 110872.     CrossRef
  • Bone Mineral Density Evaluation Among Type 2 Diabetic Patients in Rural Haryana, India: An Analytical Cross-Sectional Study
    Nitish Khandelwal, Surbhi Rajauria, Siddhesh Pandurang Kanjalkar, Omkar Shivaji Chavanke, Sanjay Rai
    Cureus.2023;[Epub]     CrossRef
  • Lobeglitazone and Its Therapeutic Benefits: A Review
    Balamurugan M, Sarumathy S, Robinson R
    Cureus.2023;[Epub]     CrossRef
  • A double‐blind, Randomized controlled trial on glucose‐lowering EFfects and safety of adding 0.25 or 0.5 mg lobeglitazone in type 2 diabetes patients with INadequate control on metformin and dipeptidyl peptidase‐4 inhibitor therapy: REFIND study
    Soree Ryang, Sang Soo Kim, Ji Cheol Bae, Ji Min Han, Su Kyoung Kwon, Young Il Kim, Il Seong Nam‐Goong, Eun Sook Kim, Mi‐kyung Kim, Chang Won Lee, Soyeon Yoo, Gwanpyo Koh, Min Jeong Kwon, Jeong Hyun Park, In Joo Kim
    Diabetes, Obesity and Metabolism.2022; 24(9): 1800.     CrossRef
  • A Real-World Study of Long-Term Safety and Efficacy of Lobeglitazone in Korean Patients with Type 2 Diabetes Mellitus
    Bo-Yeon Kim, Hyuk-Sang Kwon, Suk Kyeong Kim, Jung-Hyun Noh, Cheol-Young Park, Hyeong-Kyu Park, Kee-Ho Song, Jong Chul Won, Jae Myung Yu, Mi Young Lee, Jae Hyuk Lee, Soo Lim, Sung Wan Chun, In-Kyung Jeong, Choon Hee Chung, Seung Jin Han, Hee-Seok Kim, Ju-Y
    Diabetes & Metabolism Journal.2022; 46(6): 855.     CrossRef
  • Comparative Efficacy of Lobeglitazone Versus Pioglitazone on Albuminuria in Patients with Type 2 Diabetes Mellitus
    Kyung-Soo Kim, Sangmo Hong, Hong-Yup Ahn, Cheol-Young Park
    Diabetes Therapy.2021; 12(1): 171.     CrossRef
  • Lobeglitazone: A Novel Thiazolidinedione for the Management of Type 2 Diabetes Mellitus
    Jaehyun Bae, Taegyun Park, Hyeyoung Kim, Minyoung Lee, Bong-Soo Cha
    Diabetes & Metabolism Journal.2021; 45(3): 326.     CrossRef
  • Effect of lobeglitazone on motor function in rat model of Parkinson’s disease with diabetes co-morbidity
    Kambiz Hassanzadeh, Arman Rahimmi, Mohammad Raman Moloudi, Rita Maccarone, Massimo Corbo, Esmael Izadpanah, Marco Feligioni
    Brain Research Bulletin.2021; 173: 184.     CrossRef
  • Recent Perspective on Thiazolidinedione
    Won Jun Kim
    The Journal of Korean Diabetes.2021; 22(2): 97.     CrossRef
  • Use of in vitro bone models to screen for altered bone metabolism, osteopathies, and fracture healing: challenges of complex models
    Sabrina Ehnert, Helen Rinderknecht, Romina H. Aspera-Werz, Victor Häussling, Andreas K. Nussler
    Archives of Toxicology.2020; 94(12): 3937.     CrossRef
  • Update on: effects of anti-diabetic drugs on bone metabolism
    Guillaume Mabilleau, Béatrice Bouvard
    Expert Review of Endocrinology & Metabolism.2020; 15(6): 415.     CrossRef
  • The use of metformin, insulin, sulphonylureas, and thiazolidinediones and the risk of fracture: Systematic review and meta‐analysis of observational studies
    Khemayanto Hidayat, Xuan Du, Meng‐Jiao Wu, Bi‐Min Shi
    Obesity Reviews.2019; 20(10): 1494.     CrossRef
  • Diabetes pharmacotherapy and effects on the musculoskeletal system
    Evangelia Kalaitzoglou, John L. Fowlkes, Iuliana Popescu, Kathryn M. Thrailkill
    Diabetes/Metabolism Research and Reviews.2019;[Epub]     CrossRef
  • Morin Exerts Anti‐Arthritic Effects by Attenuating Synovial Angiogenesis via Activation of Peroxisome Proliferator Activated Receptor‐γ
    Mengfan Yue, Ni Zeng, Yufeng Xia, Zhifeng Wei, Yue Dai
    Molecular Nutrition & Food Research.2018;[Epub]     CrossRef
  • The effects of diabetes therapy on bone: A clinical perspective
    Karim G. Kheniser, Carmen M. Polanco Santos, Sangeeta R. Kashyap
    Journal of Diabetes and its Complications.2018; 32(7): 713.     CrossRef
  • Changes in the Bone Mineral Density of Femur Neck and Total Hip Over a 52-Week Treatment with Lobeglitazone
    Da Young Lee, Ji A Seo
    Diabetes & Metabolism Journal.2017; 41(5): 374.     CrossRef
Clinical Care/Education
Comparison of Antidiabetic Regimens in Patients with Type 2 Diabetes Uncontrolled by Combination Therapy of Sulfonylurea and Metformin: Results of the MOHAS Disease Registry in Korea
Sung Hee Choi, Tae Jung Oh, Hak Chul Jang
Diabetes Metab J. 2017;41(3):170-178.   Published online May 11, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.3.170
  • 7,420 View
  • 42 Download
  • 5 Web of Science
  • 6 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

The aim of this study was to investigate the glucose-lowering efficacy of antidiabetic treatments in patients with type 2 diabetes mellitus (T2DM) uncontrolled by sulfonylurea plus metformin.

Methods

This open-label, multicenter, prospective, observational study was conducted in 144 centers in Korea, from June 2008 to July 2010, and included patients with T2DM who had received sulfonylurea and metformin for at least 3 months and had levels of glycosylated hemoglobin (HbA1c) >7.0% in the last month. Data of clinical and biochemical characteristics were collected at baseline and 6 months after treatment. The treatment option was decided at the physician's discretion. Subjects were classified into the following three groups: intensifying oral hypoglycemic agents (group A), adding basal insulin (group B), or starting intensified insulin therapy (group C).

Results

Of 2,995 patients enrolled, 2,901 patients were evaluated, and 504 (17.4%), 2,316 (79.8%), and 81 patients (2.8%) were classified into groups A, B, and C, respectively. Subjects in group C showed relatively higher baseline levels of HbA1c and longer duration of diabetes. The mean decrease in HbA1c level was higher in the insulin treated groups (−0.9%±1.3%, −1.6%±1.3%, and −2.4%±2.3% in groups A, B, and C, respectively, P=0.042). The proportion of patients who achieved target HbA1c <7.0% was comparable among the groups; however, intensified insulin therapy seemed to be the most effective in achieving the target HbA1c of 6.5%.

Conclusion

These findings suggest that insulin-based therapy will be an important option in the improved management of Korean patients with T2DM whose glycemic control is not sufficient with sulfonylurea and metformin.

Citations

Citations to this article as recorded by  
  • Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia
    Desye Gebrie, Tsegahun Manyazewal, Dawit A Ejigu, Eyasu Makonnen
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 3345.     CrossRef
  • Insulin Therapy for Adult Patients with Type 2 Diabetes Mellitus: A Position Statement of the Korean Diabetes Association, 2017
    Byung-Wan Lee, Jin Hwa Kim, Seung-Hyun Ko, Kyu-Yeon Hur, Nan-Hee Kim, Sang Youl Rhee, Hyun Jin Kim, Min Kyong Moon, Seok-O Park, Kyung Mook Choi
    Diabetes & Metabolism Journal.2017; 41(5): 367.     CrossRef
  • Antihyperglycemic agent therapy for adult patients with type 2 diabetes mellitus 2017: a position statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    The Korean Journal of Internal Medicine.2017; 32(6): 947.     CrossRef
  • Insulin therapy for adult patients with type 2 diabetes mellitus: a position statement of the Korean Diabetes Association, 2017
    Byung-Wan Lee, Jin Hwa Kim, Seung-Hyun Ko, Kyu Yeon Hur, Nan-Hee Kim, Sang Youl Rhee, Hyun Jin Kim, Min Kyong Moon, Seok-O Park, Kyung Mook Choi
    The Korean Journal of Internal Medicine.2017; 32(6): 967.     CrossRef
  • Antihyperglycemic Agent Therapy for Adult Patients with Type 2 Diabetes Mellitus 2017: A Position Statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(5): 337.     CrossRef
  • Insulin

    Reactions Weekly.2017; 1665(1): 159.     CrossRef
Epidemiology
Application of the 2013 American College of Cardiology/American Heart Association Cholesterol Guideline to the Korean National Health and Nutrition Examination Surveys from 1998 to 2012
Young Shin Song, Tae Jung Oh, Kyoung Min Kim, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang, Kyong Soo Park, Soo Lim
Diabetes Metab J. 2017;41(1):38-50.   Published online December 16, 2016
DOI: https://doi.org/10.4093/dmj.2017.41.1.38
  • 9,216 View
  • 42 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

The 2013 American College of Cardiology/American Heart Association (ACC/AHA) guideline for the treatment of blood cholesterol recommends statin therapy for individuals at high risk of atherosclerotic cardiovascular disease (ASCVD). The aim of this study was to investigate serial trends in the percentages of Korean adults considered eligible for statin therapy according to the new ACC/AHA cholesterol guideline.

Methods

Data from the Korean National Health and Nutrition Examination Survey (KNHANES) I (1998, n=7,698), II (2001, n=5,654), III (2005, n=5,269), IV (2007 to 2009, n=15,727), and V (2010 to 2012, n=16,304), which used a stratified, multistage, probability sampling design, were used as representative of the entire Korean population.

Results

The percentage of adults eligible for statin therapy according to the ACC/AHA cholesterol guideline increased with time: 17.0%, 19.0%, 20.8%, 20.2%, and 22.0% in KNHANES I, II, III, IV, and V, respectively (P=0.022). The prevalence of ASCVD was 1.4% in KNHANES I and increased to 3.3% in KNHANES V. The percentage of diabetic patients aged 40 to 75 years with a low density lipoprotein cholesterol levels of 70 to 189 mg/dL increased from 4.8% in KNHANES I to 6.1% in KNHANES V. People with an estimated 10-year ASCVD risk ≥7.5% and aged 40 to 75 years accounted for the largest percentage among the four statin benefit groups: 9.1% in KNHANES I and 11.0% in KNHANES V.

Conclusion

Application of the 2013 ACC/AHA guideline has found that the percentage of Korean adults in the statin benefit groups has increased over the past 15 years.

Citations

Citations to this article as recorded by  
  • Sex differences in risk factors for subclinical hypothyroidism
    Jeonghoon Ha, Jeongmin Lee, Kwanhoon Jo, Dong-Jun Lim, Moo Il Kang, Bong Yun Cha, Min-Hee Kim
    Endocrine Connections.2018; 7(4): 511.     CrossRef
Response
Response: Hyperglycemia Is Associated with Impaired Muscle Quality in Older Men with Diabetes: The Korean Longitudinal Study on Health and Aging (Diabetes Metab J 2016;40:140-6)
Ji Won Yoon, Hak Chul Jang
Diabetes Metab J. 2016;40(3):250-251.   Published online June 20, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.3.250
  • 5,936 View
  • 33 Download
  • 5 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Risk Factors of Sarcopenia in COPD Patients: A Meta-Analysis
    Jingru Zhou, Yanjun Liu, Fang Yang, Meiling Jing, Xiaoli Zhong, Yanfen Wang, Yan Liu, Wenwen Ming, Huangyan Li, Tianxia Zhao, Lin He
    International Journal of Chronic Obstructive Pulmonary Disease.2024; Volume 19: 1613.     CrossRef
  • Muscle Quality in Older Adults: A Scoping Review
    Charles Phillipe de Lucena Alves, Samuel Brito de Almeida, Danielle Pessoa Lima, Pedro Braga Neto, Ana Lúcia Miranda, Todd Manini, Lara Vlietstra, Debra L. Waters, Renata Moraes Bielemann, Rosaly Correa-de-Araujo, Ana Paula Fayh, Eduardo Caldas Costa
    Journal of the American Medical Directors Association.2023; 24(4): 462.     CrossRef
  • Neuromuscular dysfunction and exercise training in people with diabetic peripheral neuropathy: A narrative review
    Giorgio Orlando, Stefano Balducci, Andrew J.M. Boulton, Hans Degens, Neil D. Reeves
    Diabetes Research and Clinical Practice.2022; 183: 109183.     CrossRef
  • DPP4 inhibitors as a potential therapeutic option for sarcopenia: A 6-month follow-up study in diabetic older patients
    Canberk Sencan, Fatma Sena Dost, Esra Ates Bulut, Ahmet Turan Isik
    Experimental Gerontology.2022; 164: 111832.     CrossRef
  • Níveis glicêmicos e sarcopenia em idosos com diabetes mellitus do tipo 2
    Isabella Stoeterau, Deise Regina Baptista, Andrea Pires Muller, Juliana Ceronato, Magda Rosa Ramos da Cruz, Carla Viana Dendasck
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2022; : 53.     CrossRef
Sulwon Lecture 2015
Clinical Care/Education
Sarcopenia, Frailty, and Diabetes in Older Adults
Hak Chul Jang
Diabetes Metab J. 2016;40(3):182-189.   Published online April 20, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.3.182
  • 15,674 View
  • 244 Download
  • 105 Web of Science
  • 111 Crossref
AbstractAbstract PDFPubReader   ePub   

Populations are aging and the prevalence of diabetes mellitus is increasing tremendously. The number of older people with diabetes is increasing unexpectedly. Aging and diabetes are both risk factors for functional disability. Thus, increasing numbers of frail or disabled older patients with diabetes will increase both direct and indirect health-related costs. Diabetes has been reported as an important risk factor of developing physical disability in older adults. Older people with diabetes have lower muscle mass and weaker muscle strength. In addition, muscle quality is poorer in diabetic patients. Sarcopenia and frailty have a common soil and may share a similar pathway for multiple pathologic processes in older people. Sarcopenia is thought to be an intermediate step in the development of frailty in patients with diabetes. Thus, early detection of sarcopenia and frailty in older adults with diabetes should be routine clinical practice to prevent frailty or to intervene earlier in frail patients.

Citations

Citations to this article as recorded by  
  • Age‐Stratified Associations of Sarcopenic Obesity With Mortality in Type 2 Diabetes
    Shinta Yamamoto, Yoshitaka Hashimoto, Fuyuko Takahashi, Moe Murai, Nozomi Yoshioka, Yuto Saijyo, Chihiro Munekawa, Hanako Nakajima, Noriyuki Kitagawa, Takafumi Osaka, Ryosuke Sakai, Hiroshi Okada, Naoko Nakanishi, Saori Majima, Emi Ushigome, Masahide Hama
    Journal of Cachexia, Sarcopenia and Muscle.2026;[Epub]     CrossRef
  • Frailty trajectories before and after diabetes: a prospective cohort study in the UK and the US
    Chenyang Li, Murong Xie, Xiaoqin Luo, Yifan Chen, Zewei Chen, Jiafeng Lin, Zhangling Chen, Yongjian Wu
    International Journal of Surgery.2026;[Epub]     CrossRef
  • The Role of Ketogenic Diet and β-Hydroxybutyrate in the Prevention of Muscle Catabolism and Sarcopenia in Aging Populations: Mechanisms, Evidence, and Clinical Perspectives
    Claudia Venturini, Giulia Matacchione, Lucia Mancinelli, Sara Caccese, Michele Alfieri, Fabrizia Lattanzio, Fabiola Olivieri, Roberto Antonicelli
    Nutrients.2026; 18(5): 761.     CrossRef
  • Research Progress on Frailty in Patients with Diabetes-Related Foot Disease
    诗怡 黄
    Advances in Clinical Medicine.2026; 16(03): 2718.     CrossRef
  • Low visceral fat and kidney disease risk in men with diabetes
    Carmine Zoccali, Francesca Mallamaci
    The Lancet Diabetes & Endocrinology.2026; 14(5): 367.     CrossRef
  • Risk Factors for Frailty in Iranian Older Adult Outpatients: a Cross-Sectional Study
    Fatemeh Sadat Mirzadeh, Monireh Khanzadeh, Mahtab Alizadeh-Khoei
    Ageing International.2025;[Epub]     CrossRef
  • Prevalence of frailty in senile osteoporosis: A systematic review and meta-analysis
    Yidie Hu, Huiqiong Xu, Wenting Ji, Jing Yang, Hang Li, Kexin Li, Li Zhang, Chaoming Hou, Jing Gao
    Archives of Gerontology and Geriatrics.2025; 130: 105718.     CrossRef
  • Frailty and comorbidity in older adults with and without diabetes and chronic leg ulcer: A cross‐sectional study
    Burcu Duluklu, John Ivory, Aideen McElvaney, Angela Bligh, Marion Cahill‐Collins, Georgina Gethin, Aaron Liew, Duygu Sezgin
    International Wound Journal.2025;[Epub]     CrossRef
  • Prevalence of diabetes-related sarcopenia and its defining components within primary care: A cross-sectional study
    Rubén Silva-Tinoco, Lilia Castillo-Martínez, Berenice Cabrera-Victoria, Eileen Guzmán-Olvera, Christian Hinojosa-Segura, Alejandro Avalos-Bracho, Cira Santillán-Díaz
    Diabetes Epidemiology and Management.2025; 18: 100252.     CrossRef
  • Weight-Adjusted Waist Index as a New Useful Tool for Assessing Body Composition and Risk of Metabolic Disorders in Adult Women
    Martina Gažarová, Laura Hačková, Zoia Sharlovych, Petra Lenártová, Mária Kijovská, Jana Pastrnáková, Tetiana Kutiuhova
    Applied Sciences.2025; 15(3): 1335.     CrossRef
  • Independent influence of type 2 diabetes on reduced cardiopulmonary fitness in patients after percutaneous coronary intervention: a cross-sectional study
    Yutao Liu, Nan Li, Suhui Zhang, Yan Feng, Ying Zhang, Yong Shao, Jiahui Wu
    Scientific Reports.2025;[Epub]     CrossRef
  • The impact of chronic diseases and lifestyle on sarcopenia risk in older adults: a population-based longitudinal study
    Wu-xiao Wei, Zhen-fang Mao, Meng-li Chen, Lian Meng
    Frontiers in Medicine.2025;[Epub]     CrossRef
  • The association of sarcopenia and frailty in diabetes‐related foot disease: A 3‐year prospective evaluation
    Kay Yee Hon, Madeleine Bain, Suzanne Edwards, Guilherme Pena, Neil McMillan, Robert Fitridge
    Journal of Foot and Ankle Research.2025;[Epub]     CrossRef
  • Frailty in older adults patients: a prospective observational cohort study on subtype identification
    Zhikai Yang, Chen Ji, Ting Wang, Wei He, Yuhao Wan, Min Zeng, Di Guo, Lingling Cui, Hua Wang
    European Journal of Medical Research.2025;[Epub]     CrossRef
  • Interval walking training as a potential contributor to motor function improvement in adults with type 2 diabetes mellitus: a retrospective analysis
    Masanori Yamazaki, Manami Hosokawa, Kohei Kitajima, Mitsuhisa Komatsu
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Evaluating the role of toe grip strength and anthropometric measures in diagnosing sarcopenia: A predictive model for middle-aged and older adults in Taiwan
    Yi-Ju Chen, Chih-Chien Hung, Shau-Huai Fu, Bor-Wen Cheng, Ai-Tzu Li, Jou-Wei Lin
    Journal of the Formosan Medical Association.2025;[Epub]     CrossRef
  • Platelet hyperreactivity and frailty in a mouse model of Alzheimer’s disease are prevented by anti-oxidant treatment
    Mauro Vismara, Silvia Maria Grazia Trivigno, Marta Zarà, Stefania Momi, Paolo Gresele, Marina Camera, Ilaria Canobbio, Gianni Francesco Guidetti, Mauro Torti
    GeroScience.2025; 48(1): 879.     CrossRef
  • Predictive role of weight-adjusted waist index in diabetic peripheral neuropathy among patients with type 2 diabetes mellitus
    Meng-Ke Cheng, Yao-Yao Guo, Zi-Yin Zhang, Xiao-Nan Kang, Dan Wang, Hui-Hui Ren, Gang Yuan
    Annals of Medicine.2025;[Epub]     CrossRef
  • Exploring the link between the ZJU index and sarcopenia in adults aged 20–59 using NHANES and machine learning
    Huan Chen, Ning Du, Hong Xiao, Zhao Wang
    Scientific Reports.2025;[Epub]     CrossRef
  • Mortality Risk of Sarcopenia and Malnutrition in Older Patients with Type 2 Diabetes Mellitus
    Shinta Yamamoto, Yoshitaka Hashimoto, Fuyuko Takahashi, Ryosuke Sakai, Yuto Saijo, Chihiro Munekawa, Hanako Nakajima, Noriyuki Kitagawa, Rieko Nakatani, Takafumi Osaka, Hiroshi Okada, Naoko Nakanishi, Saori Majima, Emi Ushigome, Masahide Hamaguchi, Michia
    Nutrients.2025; 17(16): 2622.     CrossRef
  • Association between dietary acid load and sarcopenia in patients with type 2 diabetes mellitus
    Shinta Yamamoto, Yoshitaka Hashimoto, Fuyuko Takahashi, Ryosuke Sakai, Yuto Saijyo, Chihiro Munekawa, Hanako Nakajima, Noriyuki Kitagawa, Eriko Nakatani, Takafumi Osaka, Hiroshi Okada, Naoko Nakanishi, Saori Majima, Emi Ushigome, Masahide Hamaguchi, Michi
    Clinical Nutrition ESPEN.2025; 70: 83.     CrossRef
  • Hypoglycaemia in Older Adults with Diabetes: Pathophysiology, Prevention, and Personalized Care in an Aging Population
    Virginia Boccardi, Alan J. Sinclair
    Drugs & Aging.2025; 42(10): 921.     CrossRef
  • Analysis of the Correlation between Sarcopenia Index and Concurrent Carotid Atherosclerosis in Type 2 Diabetes Mellitus
    方琴 胥
    Advances in Clinical Medicine.2025; 15(10): 177.     CrossRef
  • Criteria of frail older people with type 2 diabetes who are suitable for SGLT-2 inhibitors and GLP-1RA therapy
    A.H. Abdelhafiz, I. Siqueira, A.J. Sinclair
    Journal of Diabetes and its Complications.2025; 39(12): 109193.     CrossRef
  • Optimizing Physical Activity Strategies for Older Adults with Diabetes
    Hyeon-Jin Yu, Doyoun Hong, Kyuho Kim, Ji Hye Heo, Dong-Hyeok Cho, Yoshitaka Hashimoto, Jae-Seung Yun
    Diabetes & Metabolism Journal.2025; 49(6): 1178.     CrossRef
  • Association between the LDL/HDL ratio and sarcopenia in Chinese community-dwelling older adults
    Shanshan Lu, Cheng Wu, Yushuang Lin, Zhengkai Shen, Xiang Lu, Emmanuel Kwaku Ofori
    PLOS One.2025; 20(12): e0339121.     CrossRef
  • Insulin Deficiency Exacerbates Muscle Atrophy and Osteopenia in Chrebp Knockout Mice
    Chihiro Ushiroda, Mioko Ito, Risako Yamamoto-Wada, Kanako Deguchi, Shihomi Hidaka, Toshinori Imaizumi, Yusuke Seino, Atsushi Suzuki, Daisuke Yabe, Katsumi Iizuka
    International Journal of Molecular Sciences.2025; 26(23): 11672.     CrossRef
  • Risk factors of incident physical frailty in middle-aged and older people with and without HIV: evidence from the CHART cohort
    Qionggui Zhou, Xiaoxiao Chen, Weiwei Shen, Shanling Wang, Tingting Wang, Yating Wang, Haijiang Lin, Na He
    AIDS.2025; 39(14): 2082.     CrossRef
  • Relationship between nutrition and geriatric syndromes in elderly patients with type 2 diabetes mellitus
    L. A. Batrshina, S. V. Bulgakova, D. P. Kurmaev, E. V. Treneva, O. V. Kosareva, P. Ya. Merzlova, L. A. Sharonova, Yu. A. Dolgikh, N. A. Pervyshin, A. S. Bulgakov, E. A. Romanenko
    Experimental and Clinical Gastroenterology.2025; (3): 245.     CrossRef
  • Glycemic control and prescription profiles in internal medicine inpatients: The role of frailty
    Jose Carlos Arévalo Lorido, Juana Carretero Gomez, Patricia Vazquez Rodriguez, Ricardo Gómez Huelgas, Carmen Marín Silvente, Fernando Javier Sánchez Lora, Elena Isaba Ares, Anna Pardo i Pelegrín, Onán Pérez Hernández, Javier Ena
    European Journal of Internal Medicine.2024; 121: 103.     CrossRef
  • Prolonged hospitalization and 1-year mortality are associated with sarcopenia and malnutrition in older patients with type 2 diabetes: A prospective cohort study
    Mileni Vanti Beretta, Tatiana Pedroso de Paula, Ticiana da Costa Rodrigues, Thais Steemburgo
    Diabetes Research and Clinical Practice.2024; 207: 111063.     CrossRef
  • The role of genes and myokines of developing sarcopenia: A review
    Farida V. Valeeva, Zhanna A. Rodygina, Tatyana S. Yilmaz
    Consilium Medicum.2024; 26(4): 219.     CrossRef
  • Effect of Frailty on Depression among Patients with Late-life Depression: A Test of Anger, Anxiety, and Resilience as Mediators
    Junhyung Kim, Hyun-Ghang Jeong, Moon-Soo Lee, Chi-Un Pae, Ashwin A. Patkar, Sang Won Jeon, Cheolmin Shin, Changsu Han
    Clinical Psychopharmacology and Neuroscience.2024; 22(2): 253.     CrossRef
  • Relationship Between Frailty and Diabetic Pharmacologic Therapy in Older Adults with Type 2 Diabetes: A Cross-Sectional Study
    Akiko Nishimura, Chie Masuda, Chiyo Murauchi, Miho Ishii, Yuko Murata, Terumi Kawasaki, Mayumi Azuma, Shin-ichi Harashima
    Drugs & Aging.2024; 41(6): 531.     CrossRef
  • Association between sarcopenia and frailty in middle-aged and elder population: Findings from the China health and retirement longitudinal study
    Yue Dong, Yuzhi Xi, Yahui Wang, Zhijun Chai
    Journal of Global Health.2024;[Epub]     CrossRef
  • Muscle mass dynamics is independently associated with long-term liver-related mortality in patients with cirrhosis
    Jiarui Zheng, Shuo Yang, Wenhui Ren, Juan Zhong, Xin Liu, Rui Han, Tingyang Wei, Changjie Tie, Yuteng Yang, Chengwu Hong, Bo Feng, Rui Huang
    Heliyon.2024; 10(15): e35354.     CrossRef
  • Advances in Cognitive Decline in Elderly Patients with Diabetes Mellitus
    媛媛 冯
    Advances in Clinical Medicine.2024; 14(08): 1588.     CrossRef
  • Urgent needs of caregiving in ageing populations with Alzheimer’s disease and other chronic conditions: Support our loved ones
    John W. Culberson, Jonathan Kopel, Ujala Sehar, P. Hemachandra Reddy
    Ageing Research Reviews.2023; 90: 102001.     CrossRef
  • Hand grip strength: A reliable assessment tool of frailty status on the person with type 2 diabetes mellitus
    Diogo Ramalho, Leonor Silva, Catarina Almeida, Luís Rocha, Gustavo Rocha, Rafaela Veríssimo
    Nutrition Clinique et Métabolisme.2023; 37(1): 45.     CrossRef
  • Comprehensive review: Frailty in pancreas transplant candidates and recipients
    Ronald F. Parsons, Ekamol Tantisattamo, Wisit Cheungpasitporn, Arpita Basu, Yee Lu, Krista L. Lentine, Kenneth J. Woodside, Neeraj Singh, Joseph Scalea, Tarek Alhamad, Ty B. Dunn, Franco H. Cabeza Rivera, Sandesh Parajuli, Martha Pavlakis, Matthew Cooper
    Clinical Transplantation.2023;[Epub]     CrossRef
  • Development and validation of a risk prediction model for frailty in patients with diabetes
    Fan Bu, Xiao-hui Deng, Na-ni Zhan, Hongtao Cheng, Zi-lin Wang, Li Tang, Yu Zhao, Qi-yuan Lyu
    BMC Geriatrics.2023;[Epub]     CrossRef
  • Amino Acid Profiles in Older Adults with Frailty: Secondary Analysis from MetaboFrail and BIOSPHERE Studies
    Riccardo Calvani, Anna Picca, Leocadio Rodriguez-Mañas, Matteo Tosato, Hélio José Coelho-Júnior, Alessandra Biancolillo, Olga Laosa, Jacopo Gervasoni, Aniello Primiano, Lavinia Santucci, Ottavia Giampaoli, Isabelle Bourdel-Marchasson, Sophie C. Regueme, A
    Metabolites.2023; 13(4): 542.     CrossRef
  • Where to Start? Physical Assessment, Readiness, and Exercise Recommendations for People With Type 1 or Type 2 Diabetes
    Marni Armstrong, Sheri R. Colberg, Ronald J. Sigal
    Diabetes Spectrum.2023; 36(2): 105.     CrossRef
  • The Association Between Sarcopenia and Diabetes: From Pathophysiology Mechanism to Therapeutic Strategy
    Huiling Chen, Xiaojing Huang, Meiyuan Dong, Song Wen, Ligang Zhou, Xinlu Yuan
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 1541.     CrossRef
  • Analysis of Individual Components of Frailty in Simultaneous Pancreas and Kidney, and Solitary Pancreas Transplant Recipients
    Sandesh Parajuli, Jon Odorico, Isabel Breyer, Emily Zona, Fahad Aziz, Heather Lorden, Jacqueline Garonzik-Wang, Dixon Kaufman, Didier Mandelbrot
    Transplantation Direct.2023; 9(9): e1523.     CrossRef
  • Effects of moderate exercise versus light exercise on fasting blood glucose in obese patients with type 2 diabetes mellitus
    Manal Kamel Youssef
    Physiotherapy Quarterly.2023; 31(3): 101.     CrossRef
  • Risk factors associated with frailty in older adults with type 2 diabetes: A cross‐sectional study
    Chia‐Ling Lin, Neng‐Chun Yu, Hsueh‐Ching Wu, Yuan‐Ching Liu
    Journal of Clinical Nursing.2022; 31(7-8): 967.     CrossRef
  • Sarcopenia in patients with multiple sclerosis
    Hatice Yuksel, Mehtap Balaban, Ozlem Ozturk Tan, Semra Mungan
    Multiple Sclerosis and Related Disorders.2022; 58: 103471.     CrossRef
  • Amino acid profile of skeletal muscle loss in type 2 diabetes: Results from a 7-year longitudinal study in asians
    Serena Low, Jiexun Wang, Angela Moh, Su Fen Ang, Keven Ang, Yi-Ming Shao, Jianhong Ching, Hai Ning Wee, Lye Siang Lee, Jean-Paul Kovalik, Wern Ee Tang, Ziliang Lim, Tavintharan Subramaniam, Chee Fang Sum, Su Chi Lim
    Diabetes Research and Clinical Practice.2022; 186: 109803.     CrossRef
  • Assessment of Muscle Quantity, Quality and Function
    Bo Kyung Koo
    Journal of Obesity & Metabolic Syndrome.2022; 31(1): 9.     CrossRef
  • Sarcopenia is associated with cardiovascular risk in men with COPD, independent of adiposity
    Ah Young Leem, Young Sam Kim, Kung Soo Chung, Moo Suk Park, Young Ae Kang, Young-Mok Park, Ji Ye Jung
    Respiratory Research.2022;[Epub]     CrossRef
  • Decline in skeletal muscle mass is associated with cognitive decline in type 2 diabetes mellitus
    Serena Low, Kiat Sern Goh, Tze Pin Ng, Angela Moh, Su Fen Ang, Jonathon Khoo, Keven Ang, Philip Yap, Chin Yee Cheong, Wern Ee Tang, Ziliang Lim, Tavintharan Subramaniam, Chee Fang Sum, Su Chi Lim
    Journal of Diabetes and its Complications.2022; 36(9): 108258.     CrossRef
  • Frailty and diabetes in older adults: Overview of current controversies and challenges in clinical practice
    Mohd Zaquan Arif Abd.Ghafar, Mark O’Donovan, Duygu Sezgin, Elizabeth Moloney, Ángel Rodríguez-Laso, Aaron Liew, Rónán O’Caoimh
    Frontiers in Clinical Diabetes and Healthcare.2022;[Epub]     CrossRef
  • Implications of the Metabolic Control of Diabetes in Patients with Frailty Syndrome
    Marta Muszalik, Hubert Stępień, Grażyna Puto, Mateusz Cybulski, Donata Kurpas
    International Journal of Environmental Research and Public Health.2022; 19(16): 10327.     CrossRef
  • Protective Effect of Delta-Like 1 Homolog Against Muscular Atrophy in a Mouse Model
    Ji Young Lee, Minyoung Lee, Dong-Hee Lee, Yong-ho Lee, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha
    Endocrinology and Metabolism.2022; 37(4): 684.     CrossRef
  • Diabetes and osteoporosis – Treating two entities: A challenge or cause for concern?
    Nicklas H. Rasmussen, Peter Vestergaard
    Best Practice & Research Clinical Rheumatology.2022; 36(3): 101779.     CrossRef
  • Predictors associated with prefrailty in older Taiwanese individuals with type 2 diabetes
    Shu-Fen Lee, Chih-Ping Li, Yen-Lin Chen, Dee Pei
    Medicine.2022; 101(38): e30432.     CrossRef
  • Association of walking speed with cognitive function in Chinese older adults: A nationally representative cohort study
    Jianping Liu, Kaiwang Cui, Qian Chen, Zhiteng Li, Jing Fu, Xiangwen Gong, Hui Xu
    Frontiers in Aging Neuroscience.2022;[Epub]     CrossRef
  • Lower insulin level is associated with sarcopenia in community-dwelling frail and non-frail older adults
    Yanxia Lu, Wee Shiong Lim, Xia Jin, Ma Schwe Zin Nyunt, Tamas Fulop, Qi Gao, Su Chi Lim, Anis Larbi, Tze Pin Ng
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • Association of Various Anthropometric Indices with Sudomotor Dysfunction in Type 2 Diabetic Patients
    Bekzod Odilov, Danfeng Yu, Amir Muse Mohamud, Ruxing Zhao, Ying Zou, Xinguo Hou
    Journal of Diabetes Mellitus.2022; 12(01): 35.     CrossRef
  • Weight-adjusted waist index reflects fat and muscle mass in the opposite direction in older adults
    Nam Hoon Kim, Yousung Park, Nan Hee Kim, Sin Gon Kim
    Age and Ageing.2021; 50(3): 780.     CrossRef
  • Examining the links between regular leisure‐time physical activity, sitting time and prefrailty in community‐dwelling older adults
    Shu‐Hung Chang, Nai‐Hui Chien, Jackson Pui‐Man Wai, Ching‐Cheng Chiang, Ching‐Yi Yu
    Journal of Advanced Nursing.2021; 77(6): 2761.     CrossRef
  • Tale of the Frail: Understanding Frailty in Cirrhosis
    Faruq Pradhan, Natasha Narang, Michael Fallon
    Southern Medical Journal.2021; 114(3): 186.     CrossRef
  • Type 2 diabetes mellitus in older adults: clinical considerations and management
    Srikanth Bellary, Ioannis Kyrou, James E. Brown, Clifford J. Bailey
    Nature Reviews Endocrinology.2021; 17(9): 534.     CrossRef
  • Low Protein Intakes and Poor Diet Quality Associate with Functional Limitations in US Adults with Diabetes: A 2005–2016 NHANES Analysis
    Stephanie M. Fanelli, Owen J. Kelly, Jessica L. Krok-Schoen, Christopher A. Taylor
    Nutrients.2021; 13(8): 2582.     CrossRef
  • Yaşlı Diyabetik Hastalarda Malnutrisyonun Klinik Sonuçları ve Önemi
    Saadet KOÇ OKUDUR, Pinar SOYSAL
    OSMANGAZİ JOURNAL OF MEDICINE.2021;[Epub]     CrossRef
  • Combined Aerobic and Resistance Exercise Training Reduces Circulating Apolipoprotein J Levels and Improves Insulin Resistance in Postmenopausal Diabetic Women
    Yun Kyung Jeon, Sang Soo Kim, Jong Ho Kim, Hyun Jeong Kim, Hyun Jun Kim, Jang Jun Park, Yuen Suk Cho, So Hee Joung, Ji Ryang Kim, Bo Hyun Kim, Sang Heon Song, In Joo Kim, Yong Ki Kim, Young-Bum Kim
    Diabetes & Metabolism Journal.2020; 44(1): 103.     CrossRef
  • Effects of elastic band exercise on the frailty states in pre-frail elderly people
    Rujie Chen, Qingwen Wu, Dongyan Wang, Zhou Li, Howe Liu, Guangtian Liu, Ying Cui, Linlin Song
    Physiotherapy Theory and Practice.2020; 36(9): 1000.     CrossRef
  • Association between Lower Extremity Skeletal Muscle Mass and Impaired Cognitive Function in Type 2 Diabetes
    Serena Low, Tze Pin Ng, Chin Leong Lim, Angela Moh, Su Fen Ang, Jiexun Wang, Kiat Sern Goh, Keven Ang, Wern Ee Tang, Pek Yee Kwan, Tavintharan Subramaniam, Chee Fang Sum, Su Chi Lim
    Scientific Reports.2020;[Epub]     CrossRef
  • Low free triiodothyronine levels are associated with risk of frailty in older adults with type 2 diabetes mellitus
    Shuangling Xiu, Zhijing Mu, Lei Zhao, Lina Sun
    Experimental Gerontology.2020; 138: 111013.     CrossRef
  • The Biomechanics of Diabetes Mellitus and Limb Preservation
    Jonathan M. Labovitz, Dana Day
    Clinics in Podiatric Medicine and Surgery.2020; 37(1): 151.     CrossRef
  • Inorganic Arsenic Exposure Decreases Muscle Mass and Enhances Denervation-Induced Muscle Atrophy in Mice
    Chang-Mu Chen, Min-Ni Chung, Chen-Yuan Chiu, Shing-Hwa Liu, Kuo-Cheng Lan
    Molecules.2020; 25(13): 3057.     CrossRef
  • Physical Exercise and Myokines: Relationships with Sarcopenia and Cardiovascular Complications
    Sandra Maria Barbalho, Uri Adrian Prync Flato, Ricardo José Tofano, Ricardo de Alvares Goulart, Elen Landgraf Guiguer, Cláudia Rucco P. Detregiachi, Daniela Vieira Buchaim, Adriano Cressoni Araújo, Rogério Leone Buchaim, Fábio Tadeu Rodrigues Reina, Piero
    International Journal of Molecular Sciences.2020; 21(10): 3607.     CrossRef
  • The relationships between sarcopenic skeletal muscle loss during ageing and macronutrient metabolism, obesity and onset of diabetes
    Ailsa A. Welch, Richard P. G. Hayhoe, Donnie Cameron
    Proceedings of the Nutrition Society.2020; 79(1): 158.     CrossRef
  • Effects of low skeletal muscle mass and sarcopenic obesity on albuminuria: a 7-year longitudinal study
    Jee Hee Yoo, Gyuri Kim, Sung Woon Park, Min Sun Choi, Jiyeon Ahn, Sang-Man Jin, Kyu Yeon Hur, Moon-Kyu Lee, Mira Kang, Jae Hyeon Kim
    Scientific Reports.2020;[Epub]     CrossRef
  • Sarcopenia, nutritional status and type 2 diabetes mellitus: A cross‐sectional study in a group of Mexican women residing in a nursing home
    María C. Velázquez‐Alva, María E. Irigoyen‐Camacho, Marco A. Zepeda‐Zepeda, Irina Lazarevich, Isabel Arrieta‐Cruz, Carlos D'Hyver
    Nutrition & Dietetics.2020; 77(5): 515.     CrossRef
  • Assessing the association between optimal energy intake and all‐cause mortality in older patients with diabetes mellitus using the Japanese Elderly Diabetes Intervention Trial
    Takuya Omura, Yoshiaki Tamura, Takuya Yamaoka, Yukio Yoshimura, Takashi Sakurai, Hiroyuki Umegaki, Chiemi Kamada, Satoshi Iimuro, Yasuo Ohashi, Hideki Ito, Atsushi Araki
    Geriatrics & Gerontology International.2020; 20(1): 59.     CrossRef
  • Sarkopenie im Kontext von Insulinresistenz und Diabetes mellitus im Alter – Daten aus der Berliner Altersstudie II
    Dominik Spira, Nikolaus Buchmann, Knut Mai, Thomas Bobbert, Joachim Spranger, Ilja Demuth, Elisabeth Steinhagen-Thiessen
    Diabetologie und Stoffwechsel.2020; 15(05): 400.     CrossRef
  • Effect of Dietary Silk Peptide on Obesity, Hyperglycemia, and Skeletal Muscle Regeneration in High-Fat Diet-Fed Mice
    Kippeum Lee, Heegu Jin, Sungwoo Chei, Hyun-Ji Oh, Jeong-Yong Lee, Boo-Yong Lee
    Cells.2020; 9(2): 377.     CrossRef
  • Nutrition Management in Older Adults with Diabetes: A Review on the Importance of Shifting Prevention Strategies from Metabolic Syndrome to Frailty
    Yoshiaki Tamura, Takuya Omura, Kenji Toyoshima, Atsushi Araki
    Nutrients.2020; 12(11): 3367.     CrossRef
  • Mechanical Properties of Single Muscle Fibers: Understanding Poor Muscle Quality in Older Adults with Diabetes
    Eun-Jeong Lee, Hak Chul Jang, Kyung-Hoi Koo, Hye-Young Kim, Jae-Young Lim
    Annals of Geriatric Medicine and Research.2020; 24(4): 267.     CrossRef
  • Mortality is not increased with Diabetes in hospitalised very old adults: a multi-site review
    Peter Smerdely
    BMC Geriatrics.2020;[Epub]     CrossRef
  • Type 2 Diabetes Phenotype in a Small Isolated Zapotec-Speaking Community in the Valley of Oaxaca, Southern Mexico
    Bertis B. Little, Robert M. Malina, Maria Eugenia Peña Reyes, Christopher R. Tillquist, Elizabeth O’Brien, Richard A. Kerber
    Open Journal of Endocrine and Metabolic Diseases.2020; 10(09): 117.     CrossRef
  • Falls and Fractures in Diabetes—More than Bone Fragility
    Nicklas Højgaard Rasmussen, Jakob Dal
    Current Osteoporosis Reports.2019; 17(3): 147.     CrossRef
  • Measuring gait speed to better identify prodromal dementia
    Giulia Grande, Federico Triolo, Arturo Nuara, Anna-Karin Welmer, Laura Fratiglioni, Davide L. Vetrano
    Experimental Gerontology.2019; 124: 110625.     CrossRef
  • Diabetes and Muscle Dysfunction in Older Adults
    Hak Chul Jang
    Annals of Geriatric Medicine and Research.2019; 23(4): 160.     CrossRef
  • Association between sarcopenia and diabetes in community dwelling elderly in the Amazon region – Viver Mais Project
    Anelza Biene Farias Souza, David Anchieta Costa Nascimento, Isabella Juliana Manfredo Rodrigues, Cynthia Cillene Oliveira Charone, Geovanna Lemos Lopes, Rondinei Silva Lima, Ana Amália Sá, Thiago Xavier Carneiro, Niele Silva Moraes
    Archives of Gerontology and Geriatrics.2019; 83: 121.     CrossRef
  • Association between deterioration in muscle strength and peripheral neuropathy in people with diabetes
    Tae Jung Oh, Sunyoung Kang, Jie-Eun Lee, Jae Hoon Moon, Sung Hee Choi, Soo Lim, Hak Chul Jang
    Journal of Diabetes and its Complications.2019; 33(8): 598.     CrossRef
  • Frailty and Disability in Diabetes
    Sol-Ji Yoon, Kwang-il Kim
    Annals of Geriatric Medicine and Research.2019; 23(4): 165.     CrossRef
  • Mechanisms Involved in Glycemic Control Promoted by Exercise in Diabetics
    Eric Francelino Andrade, Víviam de Oliveira Silva, Débora Ribeiro Orlando, Luciano José Pereira
    Current Diabetes Reviews.2019; 15(2): 105.     CrossRef
  • Response: The Differential Association between Muscle Strength and Diabetes Mellitus According to the Presence or Absence of Obesity (J Obes Metab Syndr 2019;28:46-52)
    Bo Kyung Koo
    Journal of Obesity & Metabolic Syndrome.2019; 28(4): 297.     CrossRef
  • Diabetic Peripheral Neuropathy as a Risk Factor for Sarcopenia
    Tae Jung Oh, Yoojung Song, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
    Annals of Geriatric Medicine and Research.2019; 23(4): 170.     CrossRef
  • Sarcopenia and hospital-related outcomes in the old people: a systematic review and meta-analysis
    Yunli Zhao, Yunxia Zhang, Qiukui Hao, Meiling Ge, Birong Dong
    Aging Clinical and Experimental Research.2019; 31(1): 5.     CrossRef
  • The Differential Association between Muscle Strength and Diabetes Mellitus According to the Presence or Absence of Obesity
    Bo Kyung Koo
    Journal of Obesity & Metabolic Syndrome.2019; 28(1): 46.     CrossRef
  • Sarcopenia in elderly patients with type 2 diabetes mellitus: prevalence and related clinical factors
    Yuko Murata, Yoshiki Kadoya, Shoichi Yamada, Tokio Sanke
    Diabetology International.2018; 9(2): 136.     CrossRef
  • Assessment of lower extremity muscle mass, muscle strength, and exercise therapy in elderly patients with diabetes mellitus
    Takuo Nomura, Toshihiro Kawae, Hiroaki Kataoka, Yukio Ikeda
    Environmental Health and Preventive Medicine.2018;[Epub]     CrossRef
  • Diabetes Treatment in the Elderly: Incorporating Geriatrics, Technology, and Functional Medicine
    Willy Marcos Valencia, Diana Botros, Maria Vera-Nunez, Stuti Dang
    Current Diabetes Reports.2018;[Epub]     CrossRef
  • Psoas and paraspinous muscle index as a predictor of mortality in African American men with type 2 diabetes mellitus
    Mariana Murea, Leon Lenchik, Thomas C. Register, Gregory B. Russell, Jianzhao Xu, S. Carrie Smith, Donald W. Bowden, Jasmin Divers, Barry I. Freedman
    Journal of Diabetes and its Complications.2018; 32(6): 558.     CrossRef
  • Presence of Sarcopenia and Its Rate of Change Are Independently Associated with Long-term Mortality in Patients with Liver Cirrhosis
    Jae Yoon Jeong, Sanghyeok Lim, Joo Hyun Sohn, Jae Gon Lee, Dae Won Jun, Yongsoo Kim
    Journal of Korean Medical Science.2018;[Epub]     CrossRef
  • Comparison between Dual-Energy X-ray Absorptiometry and Bioelectrical Impedance Analyses for Accuracy in Measuring Whole Body Muscle Mass and Appendicular Skeletal Muscle Mass
    Seo Young Lee, Soyeon Ahn, Young Ji Kim, Myoung Jin Ji, Kyoung Min Kim, Sung Hee Choi, Hak Chul Jang, Soo Lim
    Nutrients.2018; 10(6): 738.     CrossRef
  • The association of low muscle mass with soluble receptor for advanced glycation end products (sRAGE): The Korean Sarcopenic Obesity Study (KSOS)
    Tae Nyun Kim, Man Sik Park, Eun Joo Lee, Hye Soo Chung, Hye Jin Yoo, Hyun Joo Kang, Wook Song, Sei Hyun Baik, Kyung Mook Choi
    Diabetes/Metabolism Research and Reviews.2018;[Epub]     CrossRef
  • Obesity paradox on the survival of elderly patients with diabetes: an AHAP-based study
    Ali Bijani, Robert G. Cumming, Seyed-Reza Hosseini, Masoumeh Yazdanpour, Mahdis Rahimi, Abbas Sahebian, Reza Ghadimi
    Journal of Diabetes & Metabolic Disorders.2018; 17(1): 45.     CrossRef
  • Effects of Seahorse Supplementation on Muscle Mass, Exercise Performance Abilities and the Related Blood Factors in Healthy Elderly Women
    Bae-jin LEE, Chan-ho PARK, Byeong-Hwan JEON
    JOURNAL OF FISHRIES AND MARINE SCIENCES EDUCATION.2018; 30(2): 409.     CrossRef
  • Frailty risk in hospitalised older adults with and without diabetes mellitus
    Deborah A. Lekan, Thomas P. McCoy
    Journal of Clinical Nursing.2018; 27(19-20): 3510.     CrossRef
  • Sarcopenia
    А.А. Пальцын
    ZHurnal «Patologicheskaia fiziologiia i eksperimental`naia terapiia».2018; (2()): 113.     CrossRef
  • Prevention of Falls and Frailty in Older Adults with Diabetes
    Helen P. Hazuda, Sara E. Espinoza
    Current Geriatrics Reports.2017; 6(3): 158.     CrossRef
  • Patterns and Predictors of Frailty Transitions in Older Men: The Osteoporotic Fractures in Men Study
    Lauren R. Pollack, Stephanie Litwack‐Harrison, Peggy M. Cawthon, Kristine Ensrud, Nancy E. Lane, Elizabeth Barrett‐Connor, Thuy‐Tien Dam
    Journal of the American Geriatrics Society.2017; 65(11): 2473.     CrossRef
  • Diabetic Neuropathy and Gait: A Review
    Uazman Alam, David R. Riley, Ravinder S. Jugdey, Shazli Azmi, Satyan Rajbhandari, Kristiaan D’Août, Rayaz A. Malik
    Diabetes Therapy.2017; 8(6): 1253.     CrossRef
  • Care of older people with diabetes
    Trisha Dunning
    Nursing Standard.2017; 32(3): 50.     CrossRef
  • Decreased Muscle Strength and Quality in Diabetes-Related Dementia
    Akito Tsugawa, Yusuke Ogawa, Naoto Takenoshita, Yoshitsugu Kaneko, Hirokuni Hatanaka, Eriko Jaime, Raita Fukasawa, Haruo Hanyu
    Dementia and Geriatric Cognitive Disorders Extra.2017; 7(3): 454.     CrossRef
  • Aging of the endocrine system and its potential impact on sarcopenia
    Giovanni Vitale, Matteo Cesari, Daniela Mari
    European Journal of Internal Medicine.2016; 35: 10.     CrossRef
Original Articles
Clinical Care/Education
Feasibility of a Patient-Centered, Smartphone-Based, Diabetes Care System: A Pilot Study
Eun Ky Kim, Soo Heon Kwak, Seungsu Baek, Seung Lyeol Lee, Hak Chul Jang, Kyong Soo Park, Young Min Cho
Diabetes Metab J. 2016;40(3):192-201.   Published online April 8, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.3.192
  • 10,431 View
  • 84 Download
  • 29 Web of Science
  • 31 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

We developed a patient-centered, smartphone-based, diabetes care system (PSDCS). This study aims to test the feasibility of glycosylated hemoglobin (HbA1c) reduction with the PSDCS.

Methods

This study was a single-arm pilot study. The participants with type 2 diabetes mellitus were instructed to use the PSDCS, which integrates a Bluetooth-connected glucometer, digital food diary, and wearable physical activity monitoring device. The primary end point was the change in HbA1c from baseline after a 12-week intervention.

Results

Twenty-nine patients aged 53.9±9.1 years completed the study. HbA1c and fasting plasma glucose levels decreased significantly from baseline (7.7%±0.7% to 7.1%±0.6%, P<0.0001; 140.9±39.1 to 120.1±31.0 mg/dL, P=0.0088, respectively). The frequency of glucose monitoring correlated with the magnitude of HbA1c reduction (r=–0.57, P=0.0013). The components of the diabetes self-care activities, including diet, exercise, and glucose monitoring, were significantly improved, particularly in the upper tertile of HbA1c reduction. There were no severe adverse events during the intervention.

Conclusion

A 12-week application of the PSDCS to patients with inadequately controlled type 2 diabetes resulted in a significant HbA1c reduction with tolerable safety profiles; these findings require confirmation in a future randomized controlled trial.

Citations

Citations to this article as recorded by  
  • Effect of Multimodal App-Based Interventions on Glycemic Control in Patients With Type 2 Diabetes: Systematic Review and Meta-Analysis
    Emma Bodner, Lena Roth, Kathleen Wiencke, Christian Bischoff, Peter EH Schwarz
    Journal of Medical Internet Research.2025; 27: e54324.     CrossRef
  • Effectiveness of information technology-based interventions for diabetes mellitus in glycemic control in Saudi Arabia: A systematic review
    Najwa A. Zabeeri
    Journal of Family and Community Medicine.2025; 32(4): 284.     CrossRef
  • Telehealth Technologies in Diabetes Self-management and Education
    Vidya Sharma, Marie Feldman, Ramaswamy Sharma
    Journal of Diabetes Science and Technology.2024; 18(1): 148.     CrossRef
  • Analysis and mapping the research landscape on patient‐centred care in the context of chronic disease management
    Waleed M. Sweileh
    Journal of Evaluation in Clinical Practice.2024; 30(4): 638.     CrossRef
  • Effects of a diabetes education program integrated with text-message support for lifestyle change among older individuals with type 2 diabetes in communities: a randomised controlled trial
    M. Hou, W.N. Qiu, H.L. Qi, H.X. Shao, J.M. Yu, H.Y. Bian
    Public Health.2024; 235: 152.     CrossRef
  • The Role of Smartwatch Technology in the Provision of Care for Type 1 or 2 Diabetes Mellitus or Gestational Diabetes: Systematic Review
    Sergio Diez Alvarez, Antoni Fellas, Katie Wynne, Derek Santos, Dean Sculley, Shamasunder Acharya, Pooshan Navathe, Xavier Gironès, Andrea Coda
    JMIR mHealth and uHealth.2024; 12: e54826.     CrossRef
  • Wearable Devices for Supporting Chronic Disease Self-Management: Scoping Review
    Marie-Pierre Gagnon, Steven Ouellet, Eugène Attisso, Wilfried Supper, Samira Amil, Caroline Rhéaume, Jean-Sébastien Paquette, Christian Chabot, Marie-Claude Laferrière, Maxime Sasseville
    Interactive Journal of Medical Research.2024; 13: e55925.     CrossRef
  • App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy
    Helen N C Fu, Jean F Wyman, Cynthia J Peden-McAlpine, Claire Burke Draucker, Titus Schleyer, Terrence J Adam
    JMIR Diabetes.2023; 8: e38592.     CrossRef
  • The Clinical Impact of Flash Glucose Monitoring—a Digital Health App and Smartwatch Technology in Patients With Type 2 Diabetes: Scoping Review
    Sergio Diez Alvarez, Antoni Fellas, Derek Santos, Dean Sculley, Katie Wynne, Shamasunder Acharya, Pooshan Navathe, Xavier Girones, Andrea Coda
    JMIR Diabetes.2023; 8: e42389.     CrossRef
  • User Retention and Engagement in the Digital-Based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) Program: Descriptive Longitudinal Study
    Mary M Barker, Radhika Chauhan, Melanie J Davies, Christopher Brough, Alison Northern, Bernie Stribling, Sally Schreder, Kamlesh Khunti, Michelle Hadjiconstantinou
    JMIR Diabetes.2023; 8: e44943.     CrossRef
  • New Digital Health Technologies for Insulin Initiation and Optimization for People With Type 2 Diabetes
    David Kerr, Steven Edelman, Giacomo Vespasiani, Kamlesh Khunti
    Endocrine Practice.2022; 28(8): 811.     CrossRef
  • Effects of Patient-Driven Lifestyle Modification Using Intermittently Scanned Continuous Glucose Monitoring in Patients With Type 2 Diabetes: Results From the Randomized Open-label PDF Study
    Hun Jee Choe, Eun-Jung Rhee, Jong Chul Won, Kyong Soo Park, Won-Young Lee, Young Min Cho
    Diabetes Care.2022; 45(10): 2224.     CrossRef
  • Assessing the Acceptability and Effectiveness of Mobile-Based Physical Activity Interventions for Midlife Women During Menopause: Systematic Review of the Literature
    Ghada AlSwayied, Haoyue Guo, Tasmin Rookes, Rachael Frost, Fiona L Hamilton
    JMIR mHealth and uHealth.2022; 10(12): e40271.     CrossRef
  • Application of the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies in Assessing Mobile-Delivered Technologies for the Self-Management of Type 2 Diabetes Mellitus: Scoping Review
    Jessica R Forsyth, Hannah Chase, Nia W Roberts, Laura C Armitage, Andrew J Farmer
    JMIR Diabetes.2021; 6(1): e23687.     CrossRef
  • Mobile Healthcare System Provided by Primary Care Physicians Improves Quality of Diabetes Care
    Tae Jung Oh, Jie-Eun Lee, Seok Kim, Sooyoung Yoo, Hak Chul Jang
    CardioMetabolic Syndrome Journal.2021; 1(1): 88.     CrossRef
  • Self-Care IoT Platform for Diabetic Mellitus
    Jai-Chang Park, Seongbeom Kim, Je-Hoon Lee
    Applied Sciences.2021; 11(5): 2006.     CrossRef
  • Diabetes clinic reinvented: will technology change the future of diabetes care?
    Marwa Al-Badri, Osama Hamdy
    Therapeutic Advances in Endocrinology and Metabolism.2021;[Epub]     CrossRef
  • Analysis of Effectiveness and Psychological Techniques Implemented in mHealth Solutions for Middle-Aged and Elderly Adults with Type 2 Diabetes: A Narrative Review of the Literature
    Julia Vázquez-de Sebastián, Andreea Ciudin, Carmina Castellano-Tejedor
    Journal of Clinical Medicine.2021; 10(12): 2701.     CrossRef
  • Therapeutic Exercise Platform for Type-2 Diabetic Mellitus
    Je-Hoon Lee, Jai-Chang Park, Seong-Beom Kim
    Electronics.2021; 10(15): 1820.     CrossRef
  • Accuracy comparison study of new smartphone-based semen analyzer versus laboratory sperm quality analyzer
    Min Jung Park, Mi Young Lim, Hyun Jun Park, Nam Cheol Park
    Investigative and Clinical Urology.2021; 62(6): 672.     CrossRef
  • User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study
    Mary D Adu, Usman H Malabu, Aduli EO Malau-Aduli, Aaron Drovandi, Bunmi S Malau-Aduli
    JMIR mHealth and uHealth.2020; 8(6): e17802.     CrossRef
  • The role of telehealth counselling with mobile self-monitoring on blood pressure reduction among overseas Koreans with high blood pressure in Vietnam
    Hyang Yuol Lee, Ju Young Kim, Ki Young Na, Hwa Yeon Park, Jinah Han, Yuliya Pak, Bola Nam, Chae Hyun Pae, Jisun Lee, Tae Ho Lim, Donghun Lee
    Journal of Telemedicine and Telecare.2019; 25(4): 241.     CrossRef
  • The Effect of a Smartphone-Based, Patient-Centered Diabetes Care System in Patients With Type 2 Diabetes: A Randomized, Controlled Trial for 24 Weeks
    Eun Ky Kim, Soo Heon Kwak, Hye Seung Jung, Bo Kyung Koo, Min Kyong Moon, Soo Lim, Hak Chul Jang, Kyong Soo Park, Young Min Cho
    Diabetes Care.2019; 42(1): 3.     CrossRef
  • Patient-Driven Diabetes Care of the Future in the Technology Era
    Sahar Ashrafzadeh, Osama Hamdy
    Cell Metabolism.2019; 29(3): 564.     CrossRef
  • Peripartum Management of Gestational Diabetes Using a Digital Health Care Service: A Pilot, Randomized Controlled Study
    Ji-Hee Sung, Da Young Lee, Kyoung Pil Min, Cheol-Young Park
    Clinical Therapeutics.2019; 41(11): 2426.     CrossRef
  • The Effects of Dietary Mobile Apps on Nutritional Outcomes in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis
    Cosette Fakih El Khoury, Mirey Karavetian, Ruud J.G. Halfens, Rik Crutzen, Lama Khoja, Jos M.G.A. Schols
    Journal of the Academy of Nutrition and Dietetics.2019; 119(4): 626.     CrossRef
  • Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals
    Ericles Andrei Bellei, Daiana Biduski, Nathália Pinto Cechetti, Ana Carolina Bertoletti De Marchi
    Telemedicine and e-Health.2018; 24(11): 839.     CrossRef
  • Multifunctional Wearable System that Integrates Sweat‐Based Sensing and Vital‐Sign Monitoring to Estimate Pre‐/Post‐Exercise Glucose Levels
    Yongseok Joseph Hong, Hyunjae Lee, Jaemin Kim, Minha Lee, Hyung Jin Choi, Taeghwan Hyeon, Dae‐Hyeong Kim
    Advanced Functional Materials.2018;[Epub]     CrossRef
  • Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review
    Ben YB Kim, Joon Lee
    JMIR mHealth and uHealth.2017; 5(5): e69.     CrossRef
  • Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review
    Helen Fu, Siobhan K. McMahon, Cynthia R. Gross, Terrence J. Adam, Jean F. Wyman
    Diabetes Research and Clinical Practice.2017; 131: 70.     CrossRef
  • Novel device for male infertility screening with single-ball lens microscope and smartphone
    Yoshitomo Kobori, Peter Pfanner, Gail S. Prins, Craig Niederberger
    Fertility and Sterility.2016; 106(3): 574.     CrossRef
Clinical Care/Education
Hyperglycemia Is Associated with Impaired Muscle Quality in Older Men with Diabetes: The Korean Longitudinal Study on Health and Aging
Ji Won Yoon, Yong-Chan Ha, Kyoung Min Kim, Jae Hoon Moon, Sung Hee Choi, Soo Lim, Young Joo Park, Jae Young Lim, Ki Woong Kim, Kyong Soo Park, Hak Chul Jang
Diabetes Metab J. 2016;40(2):140-146.   Published online March 31, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.2.140
  • 14,677 View
  • 118 Download
  • 116 Web of Science
  • 121 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

The study aimed to investigate the influence of hyperglycemia on muscle quality in older men with type 2 diabetes.

Methods

This was a subsidiary study of the Korean Longitudinal Study of Health and Aging. Among 326 older men consenting to tests of body composition and muscle strength, 269 men were ultimately analyzed after the exclusion because of stroke (n=30) and uncertainty about the diagnosis of diabetes (n=27). Body composition was measured using dual-energy X-ray absorptiometry and computed tomography. Muscle strength for knee extension was measured using an isokinetic dynamometer. Muscle quality was assessed from the ratio of leg strength to the entire corresponding leg muscle mass.

Results

The muscle mass, strength, and quality in patients with type 2 diabetes did not differ significantly from controls. However, when patients with diabetes were subdivided according to their glycemic control status, patients with a glycosylated hemoglobin (HbA1c) level of ≥8.5% showed significantly decreased leg muscle quality by multivariate analysis (odds ratio, 4.510; P=0.045) after adjustment for age, body mass index, smoking amount, alcohol consumption, physical activity, and duration of diabetes. Physical performance status was also impaired in subjects with an HbA1c of ≥8.5%.

Conclusion

Poor glycemic control in these older patients with diabetes was associated with significant risk of decreased muscle quality and performance status. Glycemic control with an HbA1c of <8.5% might be needed to reduce the risk of adverse skeletal and functional outcomes in this population.

Citations

Citations to this article as recorded by  
  • Application of nanomaterials in diabetic complication management
    Xianjun Luo, Nuonan Li, Xiaoyong Zhu, Weixia Xie, Qiao Zhang, Ning Liang, Puhua Zhang, Chunxia Zhou
    Colloids and Surfaces B: Biointerfaces.2026; 258: 115229.     CrossRef
  • Association of routine clinical indicators for metabolic and cardiovascular health with weight loss in non-obese older adults: A case-control study using annual health screening data in Japan
    Toshihiro Tsukatani, Akie Nakada
    Geriatric Nursing.2026; 68: 103889.     CrossRef
  • Glycemic control and skeletal muscle mass: Analysis of a population-based cohort of subjects with type 2 diabetes in Peru
    S. Danitza Roca-Ticona, Antonio Bernabe-Ortiz
    International Journal of Diabetes in Developing Countries.2026;[Epub]     CrossRef
  • Circulating Biomarkers as a Window into the Relationship between Sarcopenia and Diabetes: Implications for Effective Management
    Ali Tajik, Vahid Mahdavizadeh, Farzin Hadizadeh, Neda Shakour
    Current Diabetes Reviews.2026;[Epub]     CrossRef
  • Chiglitazar Prevents Diabetes-Induced Skeletal Muscle Loss by Enhancing Myogenic Differentiation through the MEK/ERK Pathway
    Wenting Song, Yanxin Dong, Xiaohui Wang, Fengping Xu, Bei Jiang, Yuxin Zhou, Qiu Li
    Biochemical and Biophysical Research Communications.2026; : 153768.     CrossRef
  • Whey Protein Supplementation in Older Adults With Type 2 Diabetes Undergoing a Resistance Training Program: A Double-Blind Randomized Controlled Trial
    Celine de Carvalho Furtado, Giovana Jamar, Alan Carlos Brisola Barbosa, Victor Zuniga Dourado, José Reinaldo do Nascimento, Glaucia Cristina Antunes Ferraz de Oliveira, Edgar Matias Bach Hi, Thiago de Arruda Souza, Maria José Gonzalez Parada, Felipe Grana
    Journal of Aging and Physical Activity.2025; 33(2): 101.     CrossRef
  • Muscle regeneration and muscle stem cells in metabolic disease
    Jin D. Chung, Enzo R. Porrello, Gordon S. Lynch
    Free Radical Biology and Medicine.2025; 227: 52.     CrossRef
  • Blood Biomarker Signatures for Slow Gait Speed in Older Adults: An Explainable Machine Learning Approach
    Evrim Gökçe, Thomas Freret, Antoine Langeard
    Brain, Behavior, and Immunity.2025; 124: 295.     CrossRef
  • Exploring receptors for pro-resolving and non-pro-resolving mediators as therapeutic targets for sarcopenia
    Tiantian Wang, Sihan Chen, Dong Zhou, Zhen Hong
    Metabolism.2025; 165: 156148.     CrossRef
  • Exploring the relationship between glycemic variability and muscle dysfunction in adults with diabetes: A systematic review
    Shanshan Lin, Sof Andrikopoulos, Yan-Chuan Shi, David Sibbritt, Wenbo Peng
    Reviews in Endocrine and Metabolic Disorders.2025; 26(5): 837.     CrossRef
  • Higher triglyceride-glucose index and triglyceride glucose-body mass index protect against sarcopenia in Chinese middle-aged and older non-diabetic women: a cross-sectional study
    Min Li, Ying Liu, Lei Gao, Yongli Zheng, Luyao Chen, Yan Wang, Wei Zhang
    Frontiers in Public Health.2025;[Epub]     CrossRef
  • Type 2 Diabetes and Sarcopenia
    Samantha Sathyakumar
    Apollo Medicine.2025; 22(3): 249.     CrossRef
  • Correlation between sarcopenia-related traits and type 2 diabetes mellitus
    Shengjie Zhao, Xiaowei Wang, Chen Zhu, Yangqing Zhang, Jianzheng Zhang, Qiang Tong
    Chinese Medical Journal.2025; 138(11): 1381.     CrossRef
  • Association of the cardiometabolic index with sarcopenia among U.S. adults: NHANES 2011–2018 findings
    Qing Zhao, Yue Xu, Xiaotian Chen, Everson Nunes
    PLOS One.2025; 20(5): e0323905.     CrossRef
  • Spatiotemporal and kinematic gait characteristics in older patients with type 2 diabetes mellitus with and without sarcopenia
    Tomotaka Manabe, Wakako Tsuchida, Toshihiro Kobayashi, Masahiro Fujimoto, Takuma Inai, Kohei Kido, Shoma Kudo, Kensaku Fukunaga, Takanobu Saheki, Takafumi Yoshimura, Hitomi Imachi, Koji Murao
    Scientific Reports.2025;[Epub]     CrossRef
  • Estimating the Burden of Sarcopenia in Adults With Type 2 Diabetes Mellitus: Implications for Metabolic Health
    Deepika Paila, Ramesh Aggarwal, Anupam Prakash, Ghotekar L.H., Priya Bansal, Suman Gupta
    Cureus.2025;[Epub]     CrossRef
  • Waist circumference is an important determinant of relative muscle strength in patients with type 2 diabetes mellitus
    Yi-Lun Chiang, Guan-Yu Su, Shiow-Chwen Tsai, Chiao-Nan Chen, Chii-Min Hwu, Tsung-Hui Wu
    Journal of the Chinese Medical Association.2025; 88(10): 767.     CrossRef
  • Diabetes is associated with impaired skeletal muscle quality, not quantity, in older adults, based on CT-derived chest muscle metrics
    Li Zhang, Huazheng Shi, Bixia Shen, Jun Tao, Youyi Tu, Xiaoyan Zhang
    Maturitas.2025; 202: 108710.     CrossRef
  • The association of body composition and A1c in Taiwanese adults with type 2 diabetes: A cross-sectional study
    Chia-Ling Lin, Hsueh-Ching Wu, Neng-Chun Yu, Yuan-Ching Liu, Wu-Chien Chien
    Medicine.2025; 104(42): e45208.     CrossRef
  • Research Progress on Type 2 Diabetes with Sarcopenia and Glycemic Stability
    静 孙
    Journal of Clinical Personalized Medicine.2025; 04(06): 141.     CrossRef
  • The Influence of Glucagon-like Peptide-1 Receptor Agonists and Other Incretin Hormone Agonists on Body Composition
    Lampros Chrysavgis, Niki Gerasimoula Mourelatou, Maria-Evangelia Koloutsou, Sophia Rozani, Evangelos Cholongitas
    International Journal of Molecular Sciences.2025; 26(24): 12130.     CrossRef
  • Clinical outcomes of multidimensional association of type 2 diabetes mellitus, COVID-19 and sarcopenia: an algorithm and scoping systematic evaluation
    Anmar Al-Taie, Oritsetimeyin Arueyingho, Jalal Khoshnaw, Abdul Hafeez
    Archives of Physiology and Biochemistry.2024; 130(3): 342.     CrossRef
  • Downhill running and caloric restriction attenuate insulin resistance associated skeletal muscle atrophy via the promotion of M2-like macrophages through TRIB3-AKT pathway
    Wei Luo, Yue Zhou, Qiang Tang, Yuhang Wang, Yansong Liu, Lei Ai
    Free Radical Biology and Medicine.2024; 210: 271.     CrossRef
  • Diabetic Sarcopenia. A proposed muscle screening protocol in people with diabetes
    Daniel de Luis Román, Juana Carretero Gómez, José Manuel García-Almeida, Fernando Garrachón Vallo, German Guzmán Rolo, Juan José López Gómez, Francisco José Tarazona-Santabalbina, Alejandro Sanz-Paris
    Reviews in Endocrine and Metabolic Disorders.2024; 25(4): 651.     CrossRef
  • Dynapenia and sarcopenia: association with the diagnosis, duration and complication of type 2 diabetes mellitus in ELSA-Brasil
    Débora Noara Duarte dos Santos, Carolina Gomes Coelho, Maria de Fátima Haueisen Sander Diniz, Bruce Bartholow Duncan, Maria Inês Schmidt, Isabela Judith Martins Bensenor, Claudia Szlejf, Rosa Weiss Telles, Sandhi Maria Barreto
    Cadernos de Saúde Pública.2024;[Epub]     CrossRef
  • Breaking Down Cachexia: A Narrative Review on the Prevalence of Cachexia in Cancer Patients and Its Associated Risk Factors
    Mahmathi Karuppannan, Fares M. S. Muthanna, Fazlin Mohd Fauzi
    Nutrition and Cancer.2024; 76(5): 404.     CrossRef
  • Mechanism of muscle atrophy in a normal-weight rat model of type 2 diabetes established by using a soft-pellet diet
    Sayaka Akieda-Asai, Hao Ma, Wanxin Han, Junko Nagata, Fumitake Yamaguchi, Yukari Date
    Scientific Reports.2024;[Epub]     CrossRef
  • Prediabetes and diabetes were attributed to the prevalence and severity of sarcopenia in middle-aged and elderly adults
    Jing Yuan, Pu Jia
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Utilize multi-metabolic parameters as determinants for prediction of skeletal muscle mass quality in elderly type2 diabetic Chinese patients
    Huiling Chen, Jingjing Lou, Meiyuan Dong, Xintao Liu, Shijie Yan, Song Wen, Ligang Zhou, Xingdang Liu, Xinlu Yuan
    BMC Geriatrics.2024;[Epub]     CrossRef
  • Relationship of endogenous plasma concentrations of β-hydroxy β-methyl butyrate (HMB) with frailty in community dwelling older adults with type-2 diabetes mellitus
    Alejandro Álvarez-Bustos, Jose A. Carnicero, Ricardo Rueda, Suzette L. Pereira, Angela Santos-Fandila, Jose M. López-Pedrosa, Begoña Molina-Baena, Francisco José García-García, Leocadio Rodríguez-Mañas
    The Journal of nutrition, health and aging.2024; 28(6): 100229.     CrossRef
  • Risk factors and adverse outcomes of hypoglycemia in older patients with type 2 diabetes mellitus (review)
    S. V. Bulgakova, P. Ya. Merzlova, D. P. Kurmaev, E. V. Treneva
    Russian Journal of Geriatric Medicine.2024; (1): 30.     CrossRef
  • Development of a prediction model for frailty among older Chinese individuals with type 2 diabetes residing in the community
    Jin Du, Di Zhang, Yurong Chen, Weihong Zhang
    Public Health Nursing.2024; 41(6): 1271.     CrossRef
  • Association between relative muscle strength and cardiovascular disease among middle-aged and older adults in China
    Jin-jin Ji, Meng-jie Zhao, Meng-li Xiao, Hui-e Zhang, Qin Tan, Yu-rong Cheng, Fang Lu
    BMC Public Health.2024;[Epub]     CrossRef
  • Adipose tissue in older individuals: a contributing factor to sarcopenia
    Tiantian Wang, Dong Zhou, Zhen Hong
    Metabolism.2024; 160: 155998.     CrossRef
  • Prevalence and risk factors of osteosarcopenia in elderly patients with uncontrolled type 2 diabetes
    Tingying Xiao, Shiyue Zou, Ting Luo, Jing Lai, Jixiang Ying, Min Lin
    Endocrine.2024; 87(1): 59.     CrossRef
  • The mitochondrial mRNA-stabilizing protein SLIRP regulates skeletal muscle mitochondrial structure and respiration by exercise-recoverable mechanisms
    Tang Cam Phung Pham, Steffen Henning Raun, Essi Havula, Carlos Henriquez-Olguín, Diana Rubalcava-Gracia, Emma Frank, Andreas Mæchel Fritzen, Paulo R. Jannig, Nicoline Resen Andersen, Rikke Kruse, Mona Sadek Ali, Andrea Irazoki, Jens Frey Halling, Stine Ri
    Nature Communications.2024;[Epub]     CrossRef
  • The Association Between Time in Range %, Measured by Continuous Glucose Monitoring (CGM) and Physical Health Agility Status Indices Amongst Older People with T2D: A Cross-Sectional Study
    Yamit Basson-Shleymovich, Tal Yahalom-Peri, Michal Azmon, Tali Cukierman-Yaffe
    Journal of Clinical Medicine.2024; 13(23): 7089.     CrossRef
  • Development and Validation of a Risk Prediction Model for Sarcopenia in Chinese Older Patients with Type 2 Diabetes Mellitus
    Xinming Wang, Shengnan Gao
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 4611.     CrossRef
  • Morphological and functional changes in skeletal muscle in type 2 diabetes mellitus: A systematic review and meta-analysis
    Jardeson Rocha Filgueiras, Cleudiane Pereira Sales, Ivanilson Gomes da Silva, Cristiana Maria Dos Santos, Elias de Carvalho Magalhães Neto, Rebeca Barbosa da Rocha, Vinicius Saura Cardoso
    Physiotherapy Theory and Practice.2023; 39(9): 1789.     CrossRef
  • Hypoglycemic drug liraglutide alleviates low muscle mass by inhibiting the expression of MuRF1 and MAFbx in diabetic muscle atrophy
    Dongmei Fan, Yue Wang, Bowei Liu, Fuzai Yin
    Journal of the Chinese Medical Association.2023; 86(2): 166.     CrossRef
  • Mechanisms underlying altered neuromuscular function in people with DPN
    Antonin Le Corre, Nathan Caron, Nicolas A. Turpin, Georges Dalleau
    European Journal of Applied Physiology.2023; 123(7): 1433.     CrossRef
  • Effects of body compositions on the associations between ferritin and diabetes parameters among Japanese community dwellers
    Kyi Mar Wai, Rei Akuzawa, Yoko Umeda, Wataru Munakata, Yoshiko Takahashi, Shigeyuki Nakaji, Kazushige Ihara
    Journal of Trace Elements in Medicine and Biology.2023; 78: 127174.     CrossRef
  • Effects of glycemic control on frailty: a multidimensional perspective
    Ahmed H Abdelhafiz
    Hospital Practice.2023; 51(3): 124.     CrossRef
  • Hand grip strength is inversely associated with total daily insulin dose requirement in patients with type 2 diabetes mellitus: a cross-sectional study
    Da-shuang Chen, Yun-qing Zhu, Wen-ji Ni, Yu-jiao Li, Guo-ping Yin, Zi-yue Shao, Jian Zhu
    PeerJ.2023; 11: e15761.     CrossRef
  • Sarcopenia in Type 2 Diabetes Mellitus: Study of the Modifiable Risk Factors Involved
    Surapaneni Lakshmi Sravya, Jayshree Swain, Abhay Kumar Sahoo, Swayamsidha Mangaraj, Jayabhanu Kanwar, Pooja Jadhao, Srijit Das
    Journal of Clinical Medicine.2023; 12(17): 5499.     CrossRef
  • Salbutamol ameliorates skeletal muscle wasting and inflammatory markers in streptozotocin (STZ)-induced diabetic rats
    Anand Kumar, Priyanka Prajapati, Vinit Raj, Seong-Cheol Kim, Vikas Mishra, Chaitany Jayprakash Raorane, Ritu Raj, Dinesh Kumar, Sapana Kushwaha
    International Immunopharmacology.2023; 124: 110883.     CrossRef
  • Decreased serum musclin concentration is independently associated with the high prevalence of sarcopenia in Chinese middle‐elderly patients with type 2 diabetes mellitus
    Lei Fu, Qing Zhang, Juan Liu, Xiaoqing Yuan, Xinhua Ye
    Journal of Diabetes Investigation.2023; 14(12): 1412.     CrossRef
  • Association between relative muscle strength and hypertension in middle-aged and older Chinese adults
    Jin-hua Luo, Tu-ming Zhang, Lin-lin Yang, Yu-ying Cai, Yu Yang
    BMC Public Health.2023;[Epub]     CrossRef
  • Diabetes Mellitus in the Elderly Adults in Korea: Based on Data from the Korea National Health and Nutrition Examination Survey 2019 to 2020
    Seung-Hyun Ko, Kyung Do Han, Yong-Moon Park, Jae-Seung Yun, Kyuho Kim, Jae-Hyun Bae, Hyuk-Sang Kwon, Nan-Hee Kim
    Diabetes & Metabolism Journal.2023; 47(5): 643.     CrossRef
  • Management of Hyperglycemia in Older Adults with Type 2 Diabetes
    Gunjan Y. Gandhi, Arshag D. Mooradian
    Drugs & Aging.2022; 39(1): 39.     CrossRef
  • Deleterious Effect of High-Fat Diet on Skeletal Muscle Performance Is Prevented by High-Protein Intake in Adult Rats but Not in Old Rats
    Eleonora Poggiogalle, Fanny Rossignon, Aude Carayon, Fréderic Capel, Jean-Paul Rigaudière, Sarah De Saint Vincent, Olivier Le-Bacquer, Jérôme Salles, Christophe Giraudet, Véronique Patrac, Patrice Lebecque, Stéphane Walrand, Yves Boirie, Vincent Martin, C
    Frontiers in Physiology.2022;[Epub]     CrossRef
  • Metabolic phenotypes explain the relationship between dysglycaemia and frailty in older people with type 2 diabetes
    A.H. Abdelhafiz, A.J. Sinclair
    Journal of Diabetes and its Complications.2022; 36(4): 108144.     CrossRef
  • Altered features of body composition in older adults with type 2 diabetes and prediabetes compared with matched controls
    Kirsten E. Bell, Michael T. Paris, Egor Avrutin, Marina Mourtzakis
    Journal of Cachexia, Sarcopenia and Muscle.2022; 13(2): 1087.     CrossRef
  • A modern approach to glucose-lowering therapy in frail older people with type 2 diabetes mellitus
    Ahmed H. Abdelhafiz, Daniel Pennells, Alan J. Sinclair
    Expert Review of Endocrinology & Metabolism.2022; 17(2): 95.     CrossRef
  • Metabolic syndrome and its association with components of sarcopenia in older community-dwelling Chinese
    Qiangwei Tong, Xiao Wang, Yunlu Sheng, Shu Chen, Bin Lai, Rong Lv, Jing Yu
    The Journal of Biomedical Research.2022; 36(2): 120.     CrossRef
  • Sarcopenia is associated with the Geriatric Nutritional Risk Index in elderly patients with poorly controlled type 2 diabetes mellitus
    Shun Matsuura, Koji Shibazaki, Reiko Uchida, Yukiko Imai, Takuya Mukoyama, Shoko Shibata, Hiroshi Morita
    Journal of Diabetes Investigation.2022; 13(8): 1366.     CrossRef
  • Increased serum levels of advanced glycation end products are negatively associated with relative muscle strength in patients with type 2 diabetes mellitus
    Tsung-Hui Wu, Shiow-Chwen Tsai, Hsuan-Wei Lin, Chiao-Nan Chen, Chii-Min Hwu
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • Hypoglycaemic therapy in frail older people with type 2 diabetes mellitus—a choice determined by metabolic phenotype
    Alan J. Sinclair, Daniel Pennells, Ahmed H. Abdelhafiz
    Aging Clinical and Experimental Research.2022; 34(9): 1949.     CrossRef
  • Insulin in Frail, Older People with Type 2 Diabetes—Low Threshold for Therapy
    Ahmed Abdelhafiz, Shail Bisht, Iva Kovacevic, Daniel Pennells, Alan Sinclair
    Diabetology.2022; 3(2): 369.     CrossRef
  • Sex-Specific Associations Between Low Muscle Mass and Glucose Fluctuations in Patients With Type 2 Diabetes Mellitus
    Xiulin Shi, Wenjuan Liu, Lulu Zhang, Fangsen Xiao, Peiying Huang, Bing Yan, Yiping Zhang, Weijuan Su, Qiuhui Jiang, Mingzhu Lin, Wei Liu, Xuejun Li
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Lifestyle factors associated with muscle quality in community‐dwelling older people with type 2 diabetes in Japan and Taiwan: a cross‐sectional study
    Yuko Yamaguchi, Chieko Greiner, Shu‐Chun Lee, Hirochika Ryuno, Hsin‐Yen Yen, Chiou‐Fen Lin, Ting‐I Lee, Pi‐Hsia Lee
    Psychogeriatrics.2022; 22(5): 736.     CrossRef
  • Relationship between Echo Intensity of Vastus Lateralis and Knee Extension Strength in Patients with Type 2 Diabetes Mellitus
    Yoshikazu HIRASAWA, Ryosuke MATSUKI, Hideaki TANINA
    Physical Therapy Research.2022; 25(3): 113.     CrossRef
  • Time trends (2012–2020) in glycated hemoglobin and adherence to the glycemic targets recommended for elderly patients by the Japan Diabetes Society/Japan Geriatrics Society Joint Committee among memory clinic patients with diabetes mellitus
    Taiki Sugimoto, Hisashi Noma, Yujiro Kuroda, Nanae Matsumoto, Kazuaki Uchida, Yoshinobu Kishino, Naoki Saji, Shumpei Niida, Takashi Sakurai
    Journal of Diabetes Investigation.2022; 13(12): 2038.     CrossRef
  • Relationship between Diabetes Status and Sarcopenia in Community-Dwelling Older Adults
    Kazuhei Nishimoto, Takehiko Doi, Kota Tsutsumimoto, Sho Nakakubo, Satoshi Kurita, Yuto Kiuchi, Hiroyuki Shimada
    Journal of the American Medical Directors Association.2022; 23(10): 1718.e7.     CrossRef
  • Low relative hand grip strength is associated with a higher risk for diabetes and impaired fasting glucose among the Korean population
    Min Jin Lee, Ah Reum Khang, Dongwon Yi, Yang Ho Kang, Giacomo Pucci
    PLOS ONE.2022; 17(10): e0275746.     CrossRef
  • Association between Lower-to-Upper Ratio of Appendicular Skeletal Muscle and Metabolic Syndrome
    Hyun Eui Moon, Tae Sic Lee, Tae-Ha Chung
    Journal of Clinical Medicine.2022; 11(21): 6309.     CrossRef
  • Association of plasma brain-derived neurotrophic factor levels and frailty in community-dwelling older adults
    Eun Roh, Soon Young Hwang, Eyun Song, Min Jeong Park, Hye Jin Yoo, Sei Hyun Baik, Miji Kim, Chang Won Won, Kyung Mook Choi
    Scientific Reports.2022;[Epub]     CrossRef
  • Organokines, Sarcopenia, and Metabolic Repercussions: The Vicious Cycle and the Interplay with Exercise
    Giulia Minniti, Letícia Maria Pescinini-Salzedas, Guilherme Almeida dos Santos Minniti, Lucas Fornari Laurindo, Sandra Maria Barbalho, Renata Vargas Sinatora, Lance Alan Sloan, Rafael Santos de Argollo Haber, Adriano Cressoni Araújo, Karina Quesada, Jesse
    International Journal of Molecular Sciences.2022; 23(21): 13452.     CrossRef
  • Multimorbidity, Frailty and Diabetes in Older People–Identifying Interrelationships and Outcomes
    Alan J. Sinclair, Ahmed H. Abdelhafiz
    Journal of Personalized Medicine.2022; 12(11): 1911.     CrossRef
  • Determinants of High-Dose Insulin Usage and Upper Extremity Muscle Strength in Adult Patients With Type 2 Diabetes
    Eren Imre, Tugce Apaydin, Hatice Gizem Gunhan, Dilek Gogas Yavuz
    Canadian Journal of Diabetes.2021; 45(4): 341.     CrossRef
  • Glycemic Control and Insulin Improve Muscle Mass and Gait Speed in Type 2 Diabetes: The MUSCLES-DM Study
    Ken Sugimoto, Hiroshi Ikegami, Yasunori Takata, Tomohiro Katsuya, Masahiro Fukuda, Hiroshi Akasaka, Yasuharu Tabara, Haruhiko Osawa, Yoshihisa Hiromine, Hiromi Rakugi
    Journal of the American Medical Directors Association.2021; 22(4): 834.     CrossRef
  • A Narrative Review on Sarcopenia in Type 2 Diabetes Mellitus: Prevalence and Associated Factors
    Anna Izzo, Elena Massimino, Gabriele Riccardi, Giuseppe Della Pepa
    Nutrients.2021; 13(1): 183.     CrossRef
  • Decreased handgrip strength in patients with type 2 diabetes: A cross-sectional study in a tertiary care hospital in north India
    Parjeet Kaur, Ritesh Bansal, Bharti Bhargava, Sunil Mishra, Harmandeep Gill, Ambrish Mithal
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2021; 15(1): 325.     CrossRef
  • Factors associated with relative muscle strength in patients with type 2 diabetes mellitus
    Chiao-Nan Chen, Ting-Chung Chen, Shiow-Chwen Tsai, Chii-Min Hwu
    Archives of Gerontology and Geriatrics.2021; 95: 104384.     CrossRef
  • Newer anti-diabetic therapies with low hypoglycemic risk-potential advantages for frail older people
    Demelza Emmerton, Ahmed Abdelhafiz
    Hospital Practice.2021; 49(3): 164.     CrossRef
  • Influence of glucose, insulin fluctuation, and glycosylated hemoglobin on the outcome of sarcopenia in patients with type 2 diabetes mellitus
    Yuxi Lin, Yongze Zhang, Ximei Shen, Lingning Huang, Sunjie Yan
    Journal of Diabetes and its Complications.2021; 35(6): 107926.     CrossRef
  • Presence and Implications of Sarcopenia in Non-alcoholic Steatohepatitis
    Gregory Habig, Christa Smaltz, Dina Halegoua-DeMarzio
    Metabolites.2021; 11(4): 242.     CrossRef
  • Sensory-Motor Mechanisms Increasing Falls Risk in Diabetic Peripheral Neuropathy
    Neil D. Reeves, Giorgio Orlando, Steven J. Brown
    Medicina.2021; 57(5): 457.     CrossRef
  • Impact of frailty metabolic phenotypes on the management of older people with type 2 diabetes mellitus
    Ahmed H Abdelhafiz, Demelza Emmerton, Alan J Sinclair
    Geriatrics & Gerontology International.2021; 21(8): 614.     CrossRef
  • Type 2 diabetes mellitus in older adults: clinical considerations and management
    Srikanth Bellary, Ioannis Kyrou, James E. Brown, Clifford J. Bailey
    Nature Reviews Endocrinology.2021; 17(9): 534.     CrossRef
  • Metabolic Syndrome and Sarcopenia
    Hiroki Nishikawa, Akira Asai, Shinya Fukunishi, Shuhei Nishiguchi, Kazuhide Higuchi
    Nutrients.2021; 13(10): 3519.     CrossRef
  • Angiotensin II inhibition: a potential treatment to slow the progression of sarcopenia
    Jeffrey Kingsley, Keiichi Torimoto, Tomoki Hashimoto, Satoru Eguchi
    Clinical Science.2021; 135(21): 2503.     CrossRef
  • Muscle strength, an independent determinant of glycemic control in older adults with long-standing type 2 diabetes: a prospective cohort study
    Bo Kyung Koo, Seoil Moon, Min Kyong Moon
    BMC Geriatrics.2021;[Epub]     CrossRef
  • Associations between homocysteine, inflammatory cytokines and sarcopenia in Chinese older adults with type 2 diabetes
    Zhi-Jing Mu, Jun-Ling Fu, Li-Na Sun, Piu Chan, Shuang-Ling Xiu
    BMC Geriatrics.2021;[Epub]     CrossRef
  • The Association Between Diabetes Mellitus and Risk of Sarcopenia: Accumulated Evidences From Observational Studies
    Yu-Shun Qiao, Yin-He Chai, Hong-Jian Gong, Zhiyessova Zhuldyz, Coen D. A. Stehouwer, Jian-Bo Zhou, Rafael Simó
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • The utility of the ultrasonographic assessment of the lower leg muscles to evaluate sarcopenia and muscle quality in older adults
    Masaaki Isaka, Ken Sugimoto, Taku Fujimoto, Yukiko Yasunobe, Keyu Xie, Yuri Onishi, Shino Yoshida, Toshimasa Takahashi, Hitomi Kurinami, Hiroshi Akasaka, Yasushi Takeya, Koichi Yamamoto, Hiromi Rakugi
    JCSM Clinical Reports.2021; 6(2): 53.     CrossRef
  • Associations between grip strength and glycemic control in type 2 diabetes mellitus: an analysis of data from the 2014-2019 Korea National Health and Nutrition Examination Survey
    Harim Choe, Hoyong Sung, Geon Hui Kim, On Lee, Hyo Youl Moon, Yeon Soo Kim
    Epidemiology and Health.2021; 43: e2021080.     CrossRef
  • Uncontrolled Diabetes as an Associated Factor with Dynapenia in Adults Aged 50 Years or Older: Sex Differences
    Clarice Cavalero Nebuloni, Roberta de Oliveira Máximo, Cesar de Oliveira, Tiago da Silva Alexandre, Anne Newman
    The Journals of Gerontology: Series A.2020; 75(6): 1191.     CrossRef
  • Identification and prevalence of frailty in diabetes mellitus and association with clinical outcomes: a systematic review protocol
    Peter Hanlon, Isabella Fauré, Neave Corcoran, Elaine Butterly, Jim Lewsey, David A McAllister, Frances S Mair
    BMJ Open.2020; 10(9): e037476.     CrossRef
  • Longitudinal association of type 2 diabetes and insulin therapy with muscle parameters in the KORA-Age study
    Uta Ferrari, Cornelia Then, Marietta Rottenkolber, Canan Selte, Jochen Seissler, Romy Conzade, Birgit Linkohr, Annette Peters, Michael Drey, Barbara Thorand
    Acta Diabetologica.2020; 57(9): 1057.     CrossRef
  • Triad of impairment in older people with diabetes-reciprocal relations and clinical implications
    A.H. Abdelhafiz, P.C. Davies, A.J. Sinclair
    Diabetes Research and Clinical Practice.2020; 161: 108065.     CrossRef
  • Physical activity and exercise: Strategies to manage frailty
    Javier Angulo, Mariam El Assar, Alejandro Álvarez-Bustos, Leocadio Rodríguez-Mañas
    Redox Biology.2020; 35: 101513.     CrossRef
  • Handgrip measurement as a useful benchmark for locomotive syndrome in patients with type 2 diabetes mellitus: A KAMOGAWA‐DM cohort study
    Noriyuki Kitagawa, Takuro Okamura, Nobuko Kitagawa, Yoshitaka Hashimoto, Masahide Hamaguchi, Michiaki Fukui
    Journal of Diabetes Investigation.2020; 11(6): 1602.     CrossRef
  • Edmonton frail score is associated with diabetic control in elderly type 2 diabetic subjects
    Satilmis Bilgin, Gulali Aktas, Ozge Kurtkulagi, Burcin M. Atak, Tuba T. Duman
    Journal of Diabetes & Metabolic Disorders.2020; 19(1): 511.     CrossRef
  • Comparison of field- and laboratory-based estimates of muscle quality index between octogenarians and young older adults: an observational study
    Dahan da Cunha Nascimento, Jonato Prestes, Joyce de Sousa Diniz, Pedro Rodrigues Beal, Vicente Paulo Alves, Whitley Stone, Fabiani Lage Rodrigues Beal
    Journal of Exercise Rehabilitation.2020; 16(5): 458.     CrossRef
  • Tip 2 Diyabetli Hastalarda Kan Glukoz Seviyesi ile Kas Gücü, Propriosepsiyon ve Vücut Kompozisyonu Arasındaki İlişki
    Zahide Betül TAYFUR, Esra ATILGAN
    Turkish Journal of Diabetes and Obesity.2020; 4(3): 207.     CrossRef
  • Challenges and Strategies for Diabetes Management in Community-Living Older Adults
    Alan J. Sinclair, Ahmed H. Abdelhafiz
    Diabetes Spectrum.2020; 33(3): 217.     CrossRef
  • Association between deterioration in muscle strength and peripheral neuropathy in people with diabetes
    Tae Jung Oh, Sunyoung Kang, Jie-Eun Lee, Jae Hoon Moon, Sung Hee Choi, Soo Lim, Hak Chul Jang
    Journal of Diabetes and its Complications.2019; 33(8): 598.     CrossRef
  • The Association between Body Composition using Dual energy X-ray Absorptiometry and Type-2 Diabetes: A Systematic Review and Meta-Analysis of Observational studies
    Preeti Gupta, Carla Lanca, Alfred T. L. Gan, Pauline Soh, Sahil Thakur, Yijin Tao, Neelam Kumari, Ryan E. K. Man, Eva K. Fenwick, Ecosse L. Lamoureux
    Scientific Reports.2019;[Epub]     CrossRef
  • MECHANISMS OF ENDOCRINE DISEASE: Sarcopenia in endocrine and non-endocrine disorders
    Victoria Zeghbi Cochenski Borba, Tatiana Lemos Costa, Carolina Aguiar Moreira, Cesar Luiz Boguszewski
    European Journal of Endocrinology.2019; 180(5): R185.     CrossRef
  • Hyperglycemia induces skeletal muscle atrophy via a WWP1/KLF15 axis
    Yu Hirata, Kazuhiro Nomura, Yoko Senga, Yuko Okada, Kenta Kobayashi, Shiki Okamoto, Yasuhiko Minokoshi, Michihiro Imamura, Shin’ichi Takeda, Tetsuya Hosooka, Wataru Ogawa
    JCI Insight.2019;[Epub]     CrossRef
  • Hyperglycemia in non‐obese patients with type 2 diabetes is associated with low muscle mass: The Multicenter Study for Clarifying Evidence for Sarcopenia in Patients with Diabetes Mellitus
    Ken Sugimoto, Yasuharu Tabara, Hiroshi Ikegami, Yasunori Takata, Kei Kamide, Tome Ikezoe, Eri Kiyoshige, Yukako Makutani, Hiroshi Onuma, Yasuyuki Gondo, Kazunori Ikebe, Noriaki Ichihashi, Tadao Tsuboyama, Fumihiko Matsuda, Katsuhiko Kohara, Mai Kabayama,
    Journal of Diabetes Investigation.2019; 10(6): 1471.     CrossRef
  • Diabetic Peripheral Neuropathy as a Risk Factor for Sarcopenia
    Tae Jung Oh, Yoojung Song, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
    Annals of Geriatric Medicine and Research.2019; 23(4): 170.     CrossRef
  • Diabetes and frailty
    Mariam El Assar, Olga Laosa, Leocadio Rodríguez Mañas
    Current Opinion in Clinical Nutrition & Metabolic Care.2019; 22(1): 52.     CrossRef
  • Association of Glucose Fluctuations with Sarcopenia in Older Adults with Type 2 Diabetes Mellitus
    Noriko Ogama, Takashi Sakurai, Shuji Kawashima, Takahisa Tanikawa, Haruhiko Tokuda, Shosuke Satake, Hisayuki Miura, Atsuya Shimizu, Manabu Kokubo, Shumpei Niida, Kenji Toba, Hiroyuki Umegaki, Masafumi Kuzuya
    Journal of Clinical Medicine.2019; 8(3): 319.     CrossRef
  • Diabetes in the elderly
    Ahmed H. Abdelhafiz, Alan J. Sinclair
    Medicine.2019; 47(2): 119.     CrossRef
  • Diabetes and Muscle Dysfunction in Older Adults
    Hak Chul Jang
    Annals of Geriatric Medicine and Research.2019; 23(4): 160.     CrossRef
  • Factors influencing safe glucose-lowering in older adults with type 2 diabetes: A PeRsOn-centred ApproaCh To IndiVidualisEd (PROACTIVE) Glycemic Goals for older people
    C.E. Hambling, K. Khunti, X. Cos, J. Wens, L. Martinez, P. Topsever, S. Del Prato, A. Sinclair, G. Schernthaner, G. Rutten, S. Seidu
    Primary Care Diabetes.2019; 13(4): 330.     CrossRef
  • Effects of resistance training on neuromuscular parameters in elderly with type 2 diabetes mellitus: A randomized clinical trial
    Cíntia E. Botton, Daniel Umpierre, Anderson Rech, Lucinéia O. Pfeifer, Carlos L.F. Machado, Juliana L. Teodoro, Alexandre S. Dias, Ronei S. Pinto
    Experimental Gerontology.2018; 113: 141.     CrossRef
  • Management of Elderly Diabetes Patients Who Are Unable to Self-Care
    Bok Rye Song
    The Journal of Korean Diabetes.2018; 19(4): 232.     CrossRef
  • Decreased Muscle Strength and Quality in Diabetes-Related Dementia
    Akito Tsugawa, Yusuke Ogawa, Naoto Takenoshita, Yoshitsugu Kaneko, Hirokuni Hatanaka, Eriko Jaime, Raita Fukasawa, Haruo Hanyu
    Dementia and Geriatric Cognitive Disorders Extra.2017; 7(3): 454.     CrossRef
  • Diabetes and Sarcopenia
    Dong Hyun Kim, Tae Yang Yu
    The Journal of Korean Diabetes.2017; 18(4): 239.     CrossRef
  • Frailty and sarcopenia - newly emerging and high impact complications of diabetes
    Alan J. Sinclair, Ahmed H. Abdelhafiz, Leocadio Rodríguez-Mañas
    Journal of Diabetes and its Complications.2017; 31(9): 1465.     CrossRef
  • Association of diabetic retinopathy with both sarcopenia and muscle quality in patients with type 2 diabetes: a cross-sectional study
    Tatsuya Fukuda, Ryotaro Bouchi, Takato Takeuchi, Yujiro Nakano, Masanori Murakami, Isao Minami, Hajime Izumiyama, Koshi Hashimoto, Takanobu Yoshimoto, Yoshihiro Ogawa
    BMJ Open Diabetes Research & Care.2017; 5(1): e000404.     CrossRef
  • Practical considerations for managing patients with diabetes and dementia
    Michelle L Mair, Rohin Athavale, Ahmed H Abdelhafiz
    Expert Review of Endocrinology & Metabolism.2017; 12(6): 429.     CrossRef
  • Sarcopenia: An Endocrine Disorder?
    Alexis McKee, John E. Morley, Alvin M. Matsumoto, Aaron Vinik
    Endocrine Practice.2017; 23(9): 1143.     CrossRef
  • Response: Hyperglycemia Is Associated with Impaired Muscle Quality in Older Men with Diabetes: The Korean Longitudinal Study on Health and Aging (Diabetes Metab J 2016;40:140-6)
    Ji Won Yoon, Hak Chul Jang
    Diabetes & Metabolism Journal.2016; 40(3): 250.     CrossRef
  • Salivary lactate dehydrogenase and aminotransferases in diabetic patients
    Barbara Malicka, Katarzyna Skoskiewicz-Malinowska, Urszula Kaczmarek
    Medicine.2016; 95(47): e5211.     CrossRef
  • Explanatory models of muscle performance in acromegaly patients evaluated by knee isokinetic dynamometry: Implications for rehabilitation
    Agnaldo José Lopes, Arthur Sá Ferreira, Evelyn Mendes Walchan, Mauricio Santos Soares, Priscila Santos Bunn, Fernando Silva Guimarães
    Human Movement Science.2016; 49: 160.     CrossRef
  • Letter: Hyperglycemia Is Associated with Impaired Muscle Quality in Older Men with Diabetes: The Korean Longitudinal Study on Health and Aging (Diabetes Metab J 2016;40:140-6)
    Jun Sung Moon
    Diabetes & Metabolism Journal.2016; 40(3): 248.     CrossRef
  • Sarcopenia, Frailty, and Diabetes in Older Adults
    Hak Chul Jang
    Diabetes & Metabolism Journal.2016; 40(3): 182.     CrossRef
Clinical Care/Education
Clinical Characteristics and Metabolic Predictors of Rapid Responders to Dipeptidyl Peptidase-4 Inhibitor as an Add-on Therapy to Sulfonylurea and Metformin
Ye An Kim, Won Sang Yoo, Eun Shil Hong, Eu Jeong Ku, Kyeong Seon Park, Soo Lim, Young Min Cho, Kyong Soo Park, Hak Chul Jang, Sung Hee Choi
Diabetes Metab J. 2015;39(6):489-497.   Published online November 27, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.6.489
  • 7,106 View
  • 52 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Dipeptidyl peptidase-4 (DPP-4) inhibitor add-on therapy is a new option for patients with inadequately controlled type 2 diabetes who are taking combined metformin and sulfonylurea (SU). We evaluated the efficacy and safety of this triple therapy and the characteristics of rapid responders and hypoglycemia-prone patients.

Methods

We included 807 patients with type 2 diabetes who were prescribed a newly added DPP-4 inhibitor to ongoing metformin and SU in 2009 to 2011. Glycemia and other metabolic parameters at baseline, 12, 24, and 52 weeks, as well as episodes of hypoglycemia were analyzed. Rapid responders were defined as patients with ≥25% reduction in glycosylated hemoglobin (HbA1c) within 12 weeks.

Results

At baseline, while on the submaximal metformin and SU combination, the mean HbA1c level was 8.4%. Twelve weeks after initiation of DPP-4 inhibitor add-on, 269 patients (34.4%) achieved an HbA1c level ≤7%. Sixty-six patients (8.2%, 47 men) were rapid responders. The duration of diabetes was shorter in rapid responders, and their baseline fasting plasma glucose (FPG), HbA1c, C-peptide, and homeostasis model assessment of insulin resistance were significantly higher. Patients who experienced hypoglycemia after taking DPP-4 inhibitor add-on were more likely to be female, to have a lower body weight and lower triglyceride and FPG levels, and to have higher homeostasis model assessment of β-cells.

Conclusion

An oral hypoglycemic triple agent combination including a DPP-4 inhibitor was effective in patients with uncontrolled diabetes. Proactive dose reduction of SU should be considered when a DPP-4 inhibitor is added for rapid responders and hypoglycemia-prone patients.

Citations

Citations to this article as recorded by  
  • A genetic variant in GLP1R is associated with response to DPP-4 inhibitors in patients with type 2 diabetes
    Eugene Han, Hye Sun Park, Obin Kwon, Eun Yeong Choe, Hye Jin Wang, Yong-ho Lee, Sang-Hak Lee, Chul Hoon Kim, Lee-Kyung Kim, Soo Heon Kwak, Kyong Soo Park, Chul Sik Kim, Eun Seok Kang
    Medicine.2016; 95(44): e5155.     CrossRef
Prevalence and Clinical Characteristics of Recently Diagnosed Type 2 Diabetes Patients with Positive Anti-Glutamic Acid Decarboxylase Antibody
Yul Hwangbo, Jin Taek Kim, Eun Ky Kim, Ah Reum Khang, Tae Jung Oh, Hak Chul Jang, Kyong Soo Park, Seong Yeon Kim, Hong Kyu Lee, Young Min Cho
Diabetes Metab J. 2012;36(2):136-143.   Published online April 17, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.2.136
  • 9,228 View
  • 54 Download
  • 18 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Latent autoimmune diabetes in adults (LADA) refers to a specific type of diabetes characterized by adult onset, presence of islet auto-antibodies, insulin independence at the time of diagnosis, and rapid decline in β-cell function. The prevalence of LADA among patients with type 2 diabetes varies from 2% to 20% according to the study population. Since most studies on the prevalence of LADA performed in Korea were conducted in patients who had been tested for anti-glutamic acid decarboxylase antibody (GADAb), a selection bias could not be excluded. In this study, we examined the prevalence and clinical characteristics of LADA among adult patients recently diagnosed with type 2 diabetes.

Methods

We included 462 patients who were diagnosed with type 2 diabetes within 5 years from the time this study was performed. We measured GADAb, fasting insulin level, fasting C-peptide level, fasting plasma glucose level, HbA1c, and serum lipid profiles and collected data on clinical characteristics.

Results

The prevalence of LADA was 4.3% (20/462) among adult patients with newly diagnosed type 2 diabetes. Compared with the GADAb-negative patients, the GADAb-positive patients had lower fasting C-peptide levels (1.2±0.8 ng/mL vs. 2.0±1.2 ng/mL, P=0.004). Other metabolic features were not significantly different between the two groups.

Conclusion

The prevalence of LADA is 4.3% among Korean adult patients with recently diagnosed type 2 diabetes. The Korean LADA patients exhibited decreased insulin secretory capacity as reflected by lower C-peptide levels.

Citations

Citations to this article as recorded by  
  • Utility of Fasting C-Peptide for the Diagnostic Differentiation of Patients with Type 1, Type 2 Diabetes, MODY, and LADA
    Ricardo Alemán-Contreras, Rita A. Gómez-Díaz, Maura E. Noyola-García, Rafael Mondragón-González, Niels Wacher, Aldo Ferreira-Hermosillo
    Life.2024; 14(5): 550.     CrossRef
  • Prevalence of latent autoimmune diabetes in adults and insulin resistance: a systematic review and meta-analysis
    Malihe Mohammadi
    European Journal of Translational Myology.2024;[Epub]     CrossRef
  • A Predictive Level of C-peptide for Glutamic Acid Decarboxylase Antibody Positivity in Autoimmune Diabetes
    Dilek Geneş, Zeki Akkuş, Zafer Pekkolay, Alparslan Kemal Tuzcu
    Dicle Tıp Dergisi.2024; 51(4): 523.     CrossRef
  • The worldwide prevalence of latent autoimmune diabetes of adults among adult-onset diabetic individuals: a systematic review and meta-analysis
    Deepika Ramu, Selvaraj Ramaswamy, Suresh Rao, Solomon F. D. Paul
    Endocrine.2023; 82(1): 28.     CrossRef
  • Investigation of serum level relationship anti-glutamic acid decarboxylase antibody and inflammatory cytokines (IL1-β, IL-6) with vitamins D in type 2 diabetes
    Vahid Pouresmaeil, Sarmad Mashayekhi, Mohammad Sarafraz Yazdi
    Journal of Diabetes & Metabolic Disorders.2022; 21(1): 181.     CrossRef
  • Recent information on test utilization and intraindividual change in anti-glutamic acid decarboxylase antibody in Korea: a retrospective study
    Rihwa Choi, Wonseo Park, Gayoung Chun, Jiwon Lee, Sang Gon Lee, Eun Hee Lee
    BMJ Open Diabetes Research & Care.2022; 10(3): e002739.     CrossRef
  • Prevalence and factors associated with latent autoimmune diabetes in adults (LADA): a cross-sectional study
    Anselmo M. Manisha, Aminiel R. Shangali, Sayoki G. Mfinanga, Erasto V. Mbugi
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • Latent Autoimmune Diabetes in Adults (LADA) and its Metabolic Characteristics among Yemeni Type 2 Diabetes Mellitus Patients
    Dhekra Al-Zubairi, Molham AL-Habori, Riyadh Saif-Ali
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 4223.     CrossRef
  • Therapeutic approaches for latent autoimmune diabetes in adults: One size does not fit all
    Theocharis Koufakis, Niki Katsiki, Pantelis Zebekakis, George Dimitriadis, Kalliopi Kotsa
    Journal of Diabetes.2020; 12(2): 110.     CrossRef
  • Long‐term effects on glycaemic control and β‐cell preservation of early intensive treatment in patients with newly diagnosed type 2 diabetes: A multicentre randomized trial
    Suk Chon, Sang Youl Rhee, Kyu Jeung Ahn, Sei Hyun Baik, Yongsoo Park, Moon Suk Nam, Kwan Woo Lee, Soon Jib Yoo, Gwanpyo Koh, Dae Ho Lee, Young Seol Kim, Jeong‐Taek Woo
    Diabetes, Obesity and Metabolism.2018; 20(5): 1121.     CrossRef
  • A Global Perspective of Latent Autoimmune Diabetes in Adults
    Rajashree Mishra, Kenyaita M. Hodge, Diana L. Cousminer, Richard D. Leslie, Struan F.A. Grant
    Trends in Endocrinology & Metabolism.2018; 29(9): 638.     CrossRef
  • The prevalence of latent autoimmune diabetes in adults and its correlates in patients with type 2 diabetes in Kerman, Iran [2011]
    Gozashti Mohammad Hossein, Shafiei Maryam, Esmaeilian Saeed, Najafipour Hamid, Mashrouteh Mahdieh
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2015; 9(2): 104.     CrossRef
  • Low prevalence of latent autoimmune diabetes in adults in northern India
    A. Sachan, G. Zaidi, R. P. Sahu, S. Agrawal, P. G. Colman, E. Bhatia
    Diabetic Medicine.2015; 32(6): 810.     CrossRef
  • Amelioration of Diabetes-induced Cognitive Deficits by GSK-3β Inhibition is Attributed to Modulation of Neurotransmitters and Neuroinflammation
    Ashok Kumar Datusalia, Shyam Sunder Sharma
    Molecular Neurobiology.2014; 50(2): 390.     CrossRef
  • Successful treatment of latent autoimmune diabetes in adults with Traditional Chinese Medicine: a case report
    Jiaxing Tian, Wenke Liu, Zhong Zhen, Xiaolin Tong
    Journal of Traditional Chinese Medicine.2013; 33(6): 766.     CrossRef
  • Clinical characteristics and insulin independence of Koreans with new‐onset type 2 diabetes presenting with diabetic ketoacidosis
    H. Seok, C. H. Jung, S. W. Kim, M. J. Lee, W. J. Lee, J. H. Kim, B‐W. Lee
    Diabetes/Metabolism Research and Reviews.2013; 29(6): 507.     CrossRef
  • A Case of Latent Autoimmune Diabetes in Adults Developed after Surgical Cure of Growth Hormone Secreting Pituitary Tumor
    Wonjin Kim, Jung Ho Kim, Youngsook Kim, Ji Hye Huh, Su Jin Lee, Mi Sung Park, Eun Yeong Choe, Jeong Kyung Park, Myung Won Lee, Jae Won Hong, Byung Wan Lee, Eun Seok Kang, Bong Soo Cha, Eun Jig Lee, Hyun Chul Lee
    Endocrinology and Metabolism.2012; 27(4): 318.     CrossRef
  • Latent Autoimmune Diabetes in Adults: Autoimmune Diabetes in Adults with Slowly Progressive β-cell Failure
    Hannah Seok, Byung Wan Lee
    Diabetes & Metabolism Journal.2012; 36(2): 116.     CrossRef
Review
Epidemiology of Micro- and Macrovascular Complications of Type 2 Diabetes in Korea
Jung Hee Kim, Dae Jung Kim, Hak Chul Jang, Sung Hee Choi
Diabetes Metab J. 2011;35(6):571-577.   Published online December 26, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.6.571
  • 65,748 View
  • 81 Download
  • 36 Crossref
AbstractAbstract PDFPubReader   ePub   

The prevalence of diabetes in Korea has increased six- to sevenfold over the past 40 years with its complications becoming major causes of morbidity and mortality. The rate of death among patients with diabetes is about twice as high as that among persons without diabetes and the most common cause of death is cardiovascular disease (30.6%). Despite the seriousness of diabetic complications, 30 to 70% of patients receive inadequate care, and only 40% of treated diabetic patients achieve the optimal control with HbA1c level <7% in Korea. In 2006, over 30 to 40% of patients with diabetes have microvascular complications and around 10% of them have macrovascular complications from our national data. Despite there are some debates about intensive glycemic control resulting in the deterioration of macrovascular complication, multifactorial treatment approaches including proper glycemic control are important to prevent diabetic complications. There have been needs for finding proper biomarkers for predicting diabetic complications properly but we still need more longitudinal studies to find this correlation with causal relationship. In this article, we wanted to review the recent status of micro- and macrovascular complications of type 2 diabetes in Korea from integration of many epidemiologic studies.

Citations

Citations to this article as recorded by  
  • Glycemic Control and Retinal Microvascular Changes in Type 2 Diabetes Mellitus Patients without Clinical Retinopathy
    Kangmin Lee, Ga Hye Lee, Seung Eun Lee, Jee Myung Yang, Kunho Bae
    Diabetes & Metabolism Journal.2024; 48(5): 983.     CrossRef
  • Relationship of paraoxonase-1 and paraoxonase-3 with routine laboratory tests and oxidative stress in type 2 diabetes mellitus
    Yagmur Ucar Yagcı, Buket Yılmaz Bulbul, Necdet Sut, Eray Ozgun
    Turkish Journal of Biochemistry.2024; 49(5): 691.     CrossRef
  • Phenotypic Screening for Small Molecules that Protect β-Cells from Glucolipotoxicity
    Jonnell C. Small, Aidan Joblin-Mills, Kaycee Carbone, Maria Kost-Alimova, Kumiko Ayukawa, Carol Khodier, Vlado Dancik, Paul A. Clemons, Andrew B. Munkacsi, Bridget K. Wagner
    ACS Chemical Biology.2022; 17(5): 1131.     CrossRef
  • Real-World Analysis of Rapid-Acting Insulin Analog Use and Its Blood Glucose Lowering Effect in Patients with Type 2 Diabetes Mellitus: Results from PASSION Disease Registry in Korea
    Hye Soon Kim, Jae Myung Yu, Hak Chul Jang, Eui Kwang Choi, Jeong Hyun Park, Ho Sang Shon, Choon Hee Chung, Keun-Gyu Park, Jae Hyoung Cho, Won Kim, Kyoung Hwa Lee, Jee Hyun Lee, Soon Jib Yoo
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 1495.     CrossRef
  • Validity of the diagnosis of diabetic microvascular complications in Korean national health insurance claim data
    Hyung Jun Kim, Moo-Seok Park, Jee-Eun Kim, Tae-Jin Song
    Annals of Clinical Neurophysiology.2022; 24(1): 7.     CrossRef
  • Effects of Jerusalem Artichoke Extract and Inulin on Blood Glucose Levels and Insulin Secretion in Streptozotocin Induced Diabetic Mice
    Seung Hee Kim, Byung Ki Kim, Boo Yeun Park, Jung Min Kim, Young Jik Lee, Mi Kyung Lee, Sung-Tae Yee, Mi Yeon Kang
    The Journal of Korean Diabetes.2021; 22(1): 60.     CrossRef
  • Diabetic Retinopathy and Related Clinical Practice for People with Diabetes in Korea: A 10-Year Trend Analysis
    Yoo-Ri Chung, Kyoung Hwa Ha, Kihwang Lee, Dae Jung Kim
    Diabetes & Metabolism Journal.2020; 44(6): 928.     CrossRef
  • A prospective cohort study on effects of gemigliptin on cardiovascular outcomes in patients with type 2 diabetes (OPTIMUS study)
    Eun Heui Kim, Sang Soo Kim, Dong Jun Kim, Young Sik Choi, Chang Won Lee, Bon Jeong Ku, Kwang Soo Cha, Kee Ho Song, Dae Kyeong Kim, In Joo Kim
    Scientific Reports.2020;[Epub]     CrossRef
  • Comparative Cardiovascular Risks of Dipeptidyl Peptidase-4 Inhibitors: Analyses of Real-world Data in Korea
    Kyoung Hwa Ha, Bongseong Kim, Hae Sol Shin, Jinhee Lee, Hansol Choi, Hyeon Chang Kim, Dae Jung Kim
    Korean Circulation Journal.2018; 48(5): 395.     CrossRef
  • High hemoglobin levels are associated with decreased risk of diabetic retinopathy in Korean type 2 diabetes
    Min-Kyung Lee, Kyung-Do Han, Jae-Hyuk Lee, Seo-Young Sohn, Jee-Sun Jeong, Mee-Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
    Scientific Reports.2018;[Epub]     CrossRef
  • Impact of Diabetes Mellitus Type 2 in the Activity of Glucose-6-Phosphate Dehydrogenase in Human Erythrocyte
    Salih Awla Hamzah, Luqman Awla Hamza, Heshu Sulaman Rahman
    Kurdistan Journal of Applied Research.2018; 3(1): 58.     CrossRef
  • Uncoupling Protein 2: A Key Player and a Potential Therapeutic Target in Vascular Diseases
    Giorgia Pierelli, Rosita Stanzione, Maurizio Forte, Serena Migliarino, Marika Perelli, Massimo Volpe, Speranza Rubattu, Ryuichi Morishita
    Oxidative Medicine and Cellular Longevity.2017;[Epub]     CrossRef
  • Glucagon-Like Peptide-1 Receptor Agonists for the Treatment of Type 2 Diabetes Mellitus: A Position Statement of the Korean Diabetes Association
    Hyun Jin Kim, Seok O Park, Seung-Hyun Ko, Sang Youl Rhee, Kyu-Yeon Hur, Nan-Hee Kim, Min Kyong Moon, Byung-Wan Lee, Jin Hwa Kim, Kyung Mook Choi
    Diabetes & Metabolism Journal.2017; 41(6): 423.     CrossRef
  • Management of Hypertension in Diabetic Patients
    Sang Yong Kim
    The Journal of Korean Diabetes.2016; 17(2): 88.     CrossRef
  • Cardiovascular Autonomic Dysfunction Predicts Diabetic Foot Ulcers in Patients With Type 2 Diabetes Without Diabetic Polyneuropathy
    Jae-Seung Yun, Seon-Ah Cha, Tae-Seok Lim, Eun-Young Lee, Ki-Ho Song, Yu-Bae Ahn, Ki-Dong Yoo, Joon-Sung Kim, Yong-Moon Park, Seung-Hyun Ko
    Medicine.2016; 95(12): e3128.     CrossRef
  • Obesity and Insulin Resistance According to Age in Newly Diagnosed Type 2 Diabetes Patients in Korea
    Ju Won Lee, Nam Kyu Kim, Hyun Joon Park, Jun Yeob Lee, Seon Yoon Choi, Eun Mi Lee, So Young Ock, Su Kyoung Kwon, Young Sik Choi, Bu Kyung Kim
    Kosin Medical Journal.2016; 31(2): 157.     CrossRef
  • Exercise is associated with metabolism regulation and complications in Korean patients with type 2 diabetes
    Jin-Won Noh, Jeong Eun Park, Jin Hee Jung, Jung Hwa Lee, Kang Hee Sim, Min Hee Kim
    Journal of Physical Therapy Science.2015; 27(7): 2189.     CrossRef
  • Diabetes in Asians
    Eun-Jung Rhee
    Endocrinology and Metabolism.2015; 30(3): 263.     CrossRef
  • Assessment of Cardiovascular Risk in Adults With Type 2 Diabetes and Metabolic Syndrome
    Chun-Ja Kim, Hee Sun Kang, Elizabeth A. Schlenk, Sun-Mi Chae
    The Diabetes Educator.2015; 41(2): 203.     CrossRef
  • Association of adiponectin polymorphisms with the risk of diabetic nephropathy in type 2 diabetes: A meta‐analysis 脂联素基因多态性与2型糖尿病肾病的相关性:一项meta分析
    Yuli Cai, Tianshu Zeng, Lulu Chen
    Journal of Diabetes.2015; 7(1): 31.     CrossRef
  • Association between the extent of urinary albumin excretion and glycaemic variability indices measured by continuous glucose monitoring
    S.‐M. Jin, T.‐H. Kim, S. Oh, J. Baek, J. Y. Joung, S.‐M. Park, Y. Y. Cho, S. Y. Sohn, K. Y. Hur, M.‐S. Lee, M.‐K. Lee, J. H. Kim
    Diabetic Medicine.2015; 32(2): 274.     CrossRef
  • Association Between Heme Oxygenase-1 Promoter Polymorphisms and the Development of Albuminuria in Type 2 Diabetes
    Eun Young Lee, Yong-ho Lee, Soo Hyun Kim, Kyu Sik Jung, Obin Kwon, Beom Seok Kim, Chung Mo Nam, Chun Sik Park, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee
    Medicine.2015; 94(43): e1825.     CrossRef
  • Current Status of Management in Type 2 Diabetes Mellitus at General Hospitals in South Korea
    Jin-Hee Jung, Jung-Hwa Lee, Jin-Won Noh, Jeong-Eun Park, Hee-Sook Kim, Joo-Wha Yoo, Bok-Rye Song, Jeong-rim Lee, Myeong-Hee Hong, Hyang-Mi Jang, Young Na, Hyun-Joo Lee, Jeong-Mi Lee, Yang-Gyo Kang, Sun-Young Kim, Kang-Hee Sim
    Diabetes & Metabolism Journal.2015; 39(4): 307.     CrossRef
  • Vasoregression: A Shared Vascular Pathology Underlying Macrovascular And Microvascular Pathologies?
    Akanksha Gupta, Sonika Bhatnagar
    OMICS: A Journal of Integrative Biology.2015; 19(12): 733.     CrossRef
  • Assessment of glycemic control in patients with type 2 diabetes mellitus treated with metformin–sulfonylurea combination: Results of a multicenter, cross‐sectional, observational study in Korea
    Sin Gon Kim, Jong Ryeal Hahm, Duk Kyu Kim, Sung Rae Cho, Dong Seop Choi
    Journal of Diabetes Investigation.2015; 6(3): 317.     CrossRef
  • Sleep Duration and Glycemic Control in Patients with Diabetes Mellitus: Korea National Health and Nutrition Examination Survey 2007-2010
    Bu Kyung Kim, Bong Sun Kim, So-Yeon An, Min Suk Lee, Yong Jun Choi, Seung Jin Han, Yoon-sok Chung, Kwan-Woo Lee, Dae Jung Kim
    Journal of Korean Medical Science.2013; 28(9): 1334.     CrossRef
  • Diagnostic Accuracy of 64-Slice MDCT Coronary Angiography for the Assessment of Coronary Artery Disease in Korean Patients with Type 2 Diabetes
    Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Ihn-Ho Cho, Hyoung Woo Lee
    Diabetes & Metabolism Journal.2013; 37(1): 54.     CrossRef
  • Prevalence and factors associated with diabetic retinopathy in a Korean adult population: The 2008–2009 Korea National Health and Nutrition Examination Survey
    Ju Yean Yang, Na Kyung Kim, Yun Jeong Lee, Jung Hyun Noh, Dae Jung Kim, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
    Diabetes Research and Clinical Practice.2013; 102(3): 218.     CrossRef
  • Intracellular Adhesion Molecule-1 K469E Gene Polymorphism and Risk of Diabetic Microvascular Complications: A Meta-Analysis
    Xianghui Su, Xi Chen, Lei Liu, Xiangyun Chang, Xuefeng Yu, Kan Sun, Rudolf Kirchmair
    PLoS ONE.2013; 8(7): e69940.     CrossRef
  • Variants of the Adiponectin Gene and Diabetic Microvascular Complications in Patients with Type 2 Diabetes
    Eun Yeong Choe, Hye Jin Wang, Obin Kwon, Kwang Joon Kim, Bum Seok Kim, Byung-Wan Lee, Chul Woo Ahn, Bong Soo Cha, Hyun Chul Lee, Eun Seok Kang, Christos S. Mantzoros
    Metabolism.2013; 62(5): 677.     CrossRef
  • Microalbuminuria is Independently Associated with Arterial Stiffness and Vascular Inflammation but not with Carotid Intima-Media Thickness in Patients with Newly Diagnosed Type 2 Diabetes or Essential Hypertension
    Dong Il Shin, Ki-Bae Seung, Hye Eun Yoon, Byung-Hee Hwang, Suk Min Seo, Seok Joon Shin, Pum-Joon Kim, Kiyuk Chang, Sang Hong Baek
    Journal of Korean Medical Science.2013; 28(2): 252.     CrossRef
  • Comparison of Two Creatinine-Based Equations for Predicting Decline in Renal Function in Type 2 Diabetic Patients with Nephropathy in a Korean Population
    Eun Young Lee, Young-Mi Lee, Kyu Hun Choi, Hyun Chul Lee, Byung-Wan Lee, Beom Seok Kim
    International Journal of Endocrinology.2013; 2013: 1.     CrossRef
  • Physical Fitness in Children with Type 1 Diabetes Measured with Six-Minute Walk Test
    Vladimir Jegdic, Zeljko Roncevic, Veselin Skrabic
    International Journal of Endocrinology.2013; 2013: 1.     CrossRef
  • Long-term changes of the prevalence and control rate of hypertension among Korean adults with diagnosed diabetes: 1998–2008 Korean National Health and Nutrition Examination Survey
    Seung-Hyun Ko, Hyuk-Sang Kwon, Ki-Ho Song, Yu-Bae Ahn, Kun-Ho Yoon, Hyeon Woo Yim, Won-Chul Lee, Yong-Moon Park
    Diabetes Research and Clinical Practice.2012; 97(1): 151.     CrossRef
  • Impact of serum calcium and phosphate on coronary atherosclerosis detected by cardiac computed tomography
    Sanghoon Shin, Kwang-Joon Kim, Hyuk-Jae Chang, Iksung Cho, Young Jin Kim, Byoung-Wook Choi, Yumie Rhee, Sung-Kil Lim, Woo-In Yang, Chi-Young Shim, Jong-Won Ha, Yangsoo Jang, Namsik Chung
    European Heart Journal.2012; 33(22): 2873.     CrossRef
  • Contributions of diabetic macro-vascular complications and hip fracture to depression onset in elderly patients with diabetes: An 8-year population-based follow-up study
    Hsueh-Hsing Pan, Chung-Yi Li, Pei-Chun Chen, Ming-Der Lee, Chun-Yu Liang, Wen-Hsuan Hou, Kwua-Yun Wang
    Journal of Psychosomatic Research.2012; 73(3): 180.     CrossRef
Original Articles
Carotid Intimal-Medial Thickness Is Not Increased in Women with Previous Gestational Diabetes Mellitus
Yun Hyi Ku, Sung Hee Choi, Soo Lim, Young Min Cho, Young Joo Park, Kyong Soo Park, Seong Yeon Kim, Hak Chul Jang
Diabetes Metab J. 2011;35(5):497-503.   Published online October 31, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.5.497
  • 6,728 View
  • 48 Download
  • 10 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Gestational diabetes mellitus (GDM) is known to increase the risk of cardiovascular diseases. Measuring the carotid artery intimal-medial thickness (CIMT) is a non-invasive technique used to evaluate early atherosclerosis and to predict future cardiovascular diseases. We examined the association between CIMT and cardiovascular risk factors in young Korean women with previous GDM.

Methods

One hundred one women with previous GDM and 19 women who had normal pregnancies (NP) were recruited between 1999 and 2002. At one year postpartum, CIMT was measured using high-resolution B-mode ultrasonography, and oral glucose tolerance tests were performed. Fasting glucose, glycated hemoglobin A1c (HbA1c), insulin levels and lipid profiles were also measured. CIMTs in the GDM and NP groups were compared, and the associations between CIMT and cardiovascular risk factors were analyzed in the GDM group.

Results

CIMT results of the GDM group were not significantly different from those of the NP group (GDM, 0.435±0.054 mm; NP, 0.460±0.046 mm; P=0.069). In the GDM group, a higher HbA1c was associated with an increase in CIMT after age adjustment (P=0.011). CIMT results in the group with HbA1c >6.0% were higher than those of the normal HbA1c (HbA1c ≤6.0%) (P=0.010). Nine of the patients who are type 2 diabetes mellitus converters within one year postpartum but showed no significant difference in CIMT results compared to NP group.

Conclusion

Higher HbA1c is associated with an increase in CIMT in women with previous GDM. However, CIMT at one year postpartum was not increased in these women compared to that in NP women.

Citations

Citations to this article as recorded by  
  • Women with a history of gestational diabetes mellitus present an accumulation of cardiovascular risk factors at age 46—A birth cohort study
    Evi Bakiris, Kaisu Luiro, Jari Jokelainen, Laure Morin‐Papunen, Sirkka Keinänen‐Kiukaanniemi, Kari Kaikkonen, Terhi Piltonen, Juha S. Tapanainen, Juha Auvinen
    Acta Obstetricia et Gynecologica Scandinavica.2024; 103(7): 1318.     CrossRef
  • The effect of gestational diabetes mellitus on carotid artery intima-media thickness in and after pregnancy: a systematic review and meta-analysis
    Andrea Sonaglioni, Elisabetta Piergallini, Angelo Naselli, Gian Luigi Nicolosi, Anna Ferrulli, Stefano Bianchi, Michele Lombardo, Giuseppe Ambrosio
    Acta Diabetologica.2023; 61(2): 139.     CrossRef
  • Prognostic indicators of persistent carotid intima-media thickness increase in postpartum period in a population of normotensive women with gestational diabetes mellitus
    Andrea Sonaglioni, Gian Luigi Nicolosi, Valentina Esposito, Stefano Bianchi, Michele Lombardo
    European Journal of Obstetrics & Gynecology and Reproductive Biology.2022; 269: 47.     CrossRef
  • Pharmacotherapy for gestational diabetes
    Angelo Maria Patti, Rosaria Vincenza Giglio, Kalliopi Pafili, Manfredi Rizzo, Nikolaos Papanas
    Expert Opinion on Pharmacotherapy.2018; 19(13): 1407.     CrossRef
  • Women with a history of gestational diabetes on long-term follow up have normal vascular function despite more dysglycemia, dyslipidemia and adiposity
    Olubukola Ajala, Louise A. Jensen, Edmond Ryan, Constance Chik
    Diabetes Research and Clinical Practice.2015; 110(3): 309.     CrossRef
  • Gestational Diabetes Mellitus in Korean Women: Similarities and Differences from Other Racial/Ethnic Groups
    Catherine Kim
    Diabetes & Metabolism Journal.2014; 38(1): 1.     CrossRef
  • History of Gestational Diabetes Mellitus and Future Risk of Atherosclerosis in Mid‐life: The Coronary Artery Risk Development in Young Adults Study
    Erica P. Gunderson, Vicky Chiang, Mark J. Pletcher, David R. Jacobs, Charles P. Quesenberry, Stephen Sidney, Cora E. Lewis
    Journal of the American Heart Association.2014;[Epub]     CrossRef
  • Association of Gestational Diabetes Mellitus (GDM) with subclinical atherosclerosis: a systemic review and meta-analysis
    Jing-Wei Li, Si-Yi He, Peng Liu, Lin Luo, Liang Zhao, Ying-Bin Xiao
    BMC Cardiovascular Disorders.2014;[Epub]     CrossRef
  • Cardiovascular Disease Risk in the Offspring of Diabetic Women: The Impact of the Intrauterine Environment
    Laura J. Marco, Kate McCloskey, Peter J. Vuillermin, David Burgner, Joanne Said, Anne-Louise Ponsonby
    Experimental Diabetes Research.2012; 2012: 1.     CrossRef
  • The Association between Carotid Atherosclerosis and Glucose
    Bo Kyung Koo
    Diabetes & Metabolism Journal.2011; 35(5): 466.     CrossRef
A Survey of Diabetic Educators and Patients for the Revision of Korean Food Exchange Lists
Jae Won Cho, Mee Ra Kweon, Young Mi Park, Mi Hye Woo, Hye Sook Yoo, Jeong Hyun Lim, Bo Kyung Koo, Chong Hwa Kim, Hae Jin Kim, Tae Sun Park, Choong Ho Shin, Kyu Chang Won, Soo Lim, Hak Chul Jang
Diabetes Metab J. 2011;35(2):173-181.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.173
  • 8,910 View
  • 44 Download
  • 6 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Food exchange lists are one of the main methods of nutritional education. However, Korean food exchange lists have not been revised since 1994. Therefore, we surveyed the opinions of diabetes educators and patients with diabetes regarding the need for revision of the current food exchange lists.

Methods

For two weeks beginning on 10 March 2008, a 12-item questionnaire regarding the opinion and need for revision of the current food exchange lists was e-mailed to diabetes educators nationwide. Another 15-question survey was administered to patients with diabetes in 13 hospitals located in the Seoul and Gyeonggi regions of Korea.

Results

We obtained survey responses from 101 diabetes educators and 209 patients; 65 (64.3%) of the educators answered that the current food exchange lists should be revised. The items that needed revision were the glycemic index, addition of new foods and reaffirmation of exchange standard amounts. The patients demanded specific education about choosing appropriate foods, a balanced meal plan, proper snacks, and dining intake.

Conclusion

Our survey results demonstrate the need to revise the Korean food exchange lists. This process should focus on glycemic index, the addition of new foods and reconfirmation of one exchange reference unit.

Citations

Citations to this article as recorded by  
  • Mediterranean Diet and Naltrexone/Bupropion Treatment for Weight Loss in Overweight and Obese Breast Cancer Survivors and Non-Cancer Participants: A Pilot Randomized Controlled Trial


    A-Ra Cho, Won-Jun Choi, Yu-Jin Kwon, Hye Sun Lee, Sung Gwe Ahn, Ji-Won Lee
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 3325.     CrossRef
  • Development of a Spanish Food Exchange List: Application of Statistical Criteria to a Rationale Procedure
    Iva Marques-Lopes, Susana Menal-Puey, J. Alfredo Martínez, Giuseppe Russolillo
    Journal of the Academy of Nutrition and Dietetics.2018; 118(7): 1161.     CrossRef
  • A Practical Approach to the Management of Micronutrients and Other Nutrients of Concern in Food Exchange Lists for Meal Planning
    Giuseppe Russolillo-Femenías, Susana Menal-Puey, J. Alfredo Martínez, Iva Marques-Lopes
    Journal of the Academy of Nutrition and Dietetics.2018; 118(11): 2029.     CrossRef
  • How much fruit should diabetic patients eat?
    Jeong Hyun Lim
    The Journal of Korean Diabetes.2014; 15(4): 185.     CrossRef
  • Korean Food Exchange Lists for Diabetes: Revised 2010
    Dal Lae Ju, Hak Chul Jang, Young Yun Cho, Jae Won Cho, Hye Sook Yoo, Kyung Suk Choi, Mi Hye Woo, Cheong Min Sohn, Yoo Kyoung Park, Ryo Won Choue
    Journal of Korean Diabetes.2011; 12(4): 228.     CrossRef
  • Korean Food Exchange Lists for Diabetes: Revised 2010
    Dal Lae Ju, Hak Chul Jang, Young Yun Cho, Jae Won Cho, Hye Sook Yoo, Kyung Suk Choi, Mi Hye Woo, Cheong Min Sohn, Yoo Kyoung Park, Ryowon Choue
    The Korean Journal of Nutrition.2011; 44(6): 577.     CrossRef
Increasing Trend in the Number of Severe Hypoglycemia Patients in Korea
Jin Taek Kim, Tae Jung Oh, Ye An Lee, Jun Ho Bae, Hyo Jeong Kim, Hye Seung Jung, Young Min Cho, Kyong Soo Park, Soo Lim, Hak Chul Jang, Hong Kyu Lee
Diabetes Metab J. 2011;35(2):166-172.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.166
  • 65,721 View
  • 68 Download
  • 32 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

To investigate whether the number of subjects with severe hypoglycemia who are brought to a hospital emergency department is increasing and to identify whether there have been changes in the demographic and clinical characteristics of those subjects.

Methods

We analyzed data from the Emergency Departments of two general hospitals in Seoul, Korea. We included data from all adult subjects with type 2 diabetes who presented to an emergency department with severe hypoglycemia between January 1, 2004 and December 30, 2009.

Results

A total of 740 cases of severe hypoglycemia were identified. The mean subject age was 69±12 years, mean duration of diabetes was 13.8±9.3 years, and 53.2% of subjects were receiving insulin therapy. We observed a sharp rise in the number of cases between 2006 and 2007. Stages 3-5 chronic kidney disease was diagnosed in 31.5% of subjects, and low C-peptide levels (<0.6 ng/mL) were found in 25.5%. The mean subject age, duration of diabetes, HbA1c level, and renal and insulin secretory function values did not change significantly during the study period. The proportion of glimepiride use increased, while use of gliclazide decreased among sulfonylurea users. Use of insulin analogues increased, while use of NPH/RI decreased among insulin users.

Conclusion

We identified a sharp increase in the number of subjects with severe hypoglycemia presenting to an emergency room since 2006. The clinical characteristics of these subjects did not change markedly during the study period. Nationwide studies are warranted to further clarify this epidemic of severe hypoglycemia.

Citations

Citations to this article as recorded by  
  • Risk factors for hypoglycemia in hospitalized patients with diabetes: a retrospective analysis of electronic medical record data
    Liren Li, Jiayu Chen, Tongshu Guan, Ping Zheng
    Frontiers in Pharmacology.2026;[Epub]     CrossRef
  • Hypoglycemia Unawareness—A Review on Pathophysiology and Clinical Implications
    Laura Hölzen, Bernd Schultes, Sebastian M. Meyhöfer, Svenja Meyhöfer
    Biomedicines.2024; 12(2): 391.     CrossRef
  • Hospital admissions trends for severe hypoglycemia in diabetes patients in Spain, 2005 to 2015
    Domingo Orozco-Beltrán, Alberto Guillen-Mollá, Ana María Cebrián-Cuenca, Jorge Navarro-Pérez, Vicente F. Gil-Guillén, Jose A. Quesada, Francisco J. Pomares-Gómez, Adriana Lopez-Pineda, Concepción Carratalá-Munuera
    Diabetes Research and Clinical Practice.2021; 171: 108565.     CrossRef
  • Trends and risk factors in severe hypoglycemia among individuals with type 2 diabetes in Korea
    Seung Eun Lee, Kyoung-Ah Kim, Kang Ju Son, Sun Ok Song, Kyeong Hye Park, Se Hee Park, Joo Young Nam
    Diabetes Research and Clinical Practice.2021; 178: 108946.     CrossRef
  • Predisposing factors of hypoglycemia in patients with type 2 diabetes mellitus presented with symptomatic hypoglycemia in a tertiary hospital of Bangladesh
    AjitK Paul, A.B.M. Kamrul-Hasan
    Journal of Diabetology.2020; 11(3): 163.     CrossRef
  • Real-world risk of hypoglycemia-related hospitalization in Japanese patients with type 2 diabetes using SGLT2 inhibitors: a nationwide cohort study
    Takeshi Horii, Yoichi Oikawa, Narumi Kunisada, Akira Shimada, Koichiro Atsuda
    BMJ Open Diabetes Research & Care.2020; 8(2): e001856.     CrossRef
  • Association between BMI and risk of severe hypoglycaemia in type 2 diabetes
    J.-S. Yun, Y.-M. Park, K. Han, S.-A. Cha, Y.-B. Ahn, S.-H. Ko
    Diabetes & Metabolism.2019; 45(1): 19.     CrossRef
  • The effects of hypoglycaemia and dementia on cardiovascular events, falls and fractures and all‐cause mortality in older individuals: A retrospective cohort study
    Katharina Mattishent, Kathryn Richardson, Ketan Dhatariya, George M. Savva, Chris Fox, Yoon K. Loke
    Diabetes, Obesity and Metabolism.2019; 21(9): 2076.     CrossRef
  • Detection of asymptomatic drug-induced hypoglycemia using continuous glucose monitoring in older people – Systematic review
    K. Mattishent, Y.K. Loke
    Journal of Diabetes and its Complications.2018; 32(8): 805.     CrossRef
  • Incidence rate and patient characteristics of severe hypoglycemia in treated type 2 diabetes mellitus patients in Japan: Retrospective Diagnosis Procedure Combination database analysis
    Yuika Ikeda, Takekazu Kubo, Eisei Oda, Machiko Abe, Shigeru Tokita
    Journal of Diabetes Investigation.2018; 9(4): 925.     CrossRef
  • A study to evaluate the prevalence of impaired awareness of hypoglycaemia in adults with type 2 diabetes in outpatient clinic in a tertiary care centre in Singapore
    Ling Zhu, Li Chang Ang, Wee Boon Tan, Xiaohui Xin, Yong Mong Bee, Su-Yen Goh, Ming Ming Teh
    Therapeutic Advances in Endocrinology and Metabolism.2017; 8(5): 69.     CrossRef
  • Baseline-Corrected QT (QTc) Interval Is Associated with Prolongation of QTc during Severe Hypoglycemia in Patients with Type 2 Diabetes Mellitus
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Yoon-Goo Kang, Kang-Min Lee, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Seung-Hyun Ko, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2016; 40(6): 463.     CrossRef
  • Response: Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes (Diabetes Metab J 2015;39:498-506)
    Jae-Seung Yun, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2016; 40(1): 85.     CrossRef
  • 1,5-Anhydro-D-Glucitol Could Reflect Hypoglycemia Risk in Patients with Type 2 Diabetes Receiving Insulin Therapy
    Min Kyeong Kim, Hye Seung Jung, Soo Heon Kwak, Young Min Cho, Kyong Soo Park, Seong Yeon Kim
    Endocrinology and Metabolism.2016; 31(2): 284.     CrossRef
  • Severe Hypoglycemia and Cardiovascular or All-Cause Mortality in Patients with Type 2 Diabetes
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Seawon Hwang, Eun-Jung Yim, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2016; 40(3): 202.     CrossRef
  • Hypoglycemia and Health Costs
    Yong-ho Lee, Gyuri Kim, Eun Seok Kang
    The Journal of Korean Diabetes.2016; 17(1): 11.     CrossRef
  • Bi‐directional interaction between hypoglycaemia and cognitive impairment in elderly patients treated with glucose‐lowering agents: a systematic review and meta‐analysis
    K. Mattishent, Y. K. Loke
    Diabetes, Obesity and Metabolism.2016; 18(2): 135.     CrossRef
  • Trend of antihyperglycaemic therapy and glycaemic control in 184,864 adults with type 1 or 2 diabetes between 2002 and 2014: Analysis of real-life data from the DPV registry from Germany and Austria
    Barbara Bohn, Wolfgang Kerner, Jochen Seufert, Hans-Peter Kempe, Peter M. Jehle, Frank Best, Martin Füchtenbusch, Andreas Knauerhase, Martin Hofer, Joachim Rosenbauer, Reinhard W. Holl
    Diabetes Research and Clinical Practice.2016; 115: 31.     CrossRef
  • Characteristics of Hypoglycemia Pateints Visiting the Emergency Department of a University Hospital
    Sang-Hyeon Choi, Deok-Ki Youn, Moon-Gi Choi, Ohk-Hyun Ryu
    The Journal of Korean Diabetes.2016; 17(3): 202.     CrossRef
  • Increasing trend in emergency department visits for hypoglycemia from patients with type 2 diabetes mellitus in Taiwan
    Ying-Ju Chen, Chen-Chang Yang, Lynn-Chu Huang, Likwang Chen, Chii-Min Hwu
    Primary Care Diabetes.2015; 9(6): 490.     CrossRef
  • Intensive Individualized Reinforcement Education Is Important for the Prevention of Hypoglycemia in Patients with Type 2 Diabetes
    Yun-Mi Yong, Kyung-Mi Shin, Kang-Min Lee, Jae-Young Cho, Sun-Hye Ko, Min-Hyang Yoon, Tae-Won Kim, Jong-Hyun Jeong, Yong-Moon Park, Seung-Hyun Ko, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2015; 39(2): 154.     CrossRef
  • 1,5-Anhydroglucitol as a Useful Marker for Assessing Short-Term Glycemic Excursions in Type 1 Diabetes
    Hannah Seok, Ji Hye Huh, Hyun Min Kim, Byung-Wan Lee, Eun Seok Kang, Hyun Chul Lee, Bong Soo Cha
    Diabetes & Metabolism Journal.2015; 39(2): 164.     CrossRef
  • A nationwide population-based study on the risk of coma, ketoacidosis and hypoglycemia in patients with celiac disease and type 1 diabetes
    Matthew Kurien, Kaziwe Mollazadegan, David S. Sanders, Jonas F. Ludvigsson
    Acta Diabetologica.2015; 52(6): 1167.     CrossRef
  • Blood electrolyte disturbances during severe hypoglycemia in Korean patients with type 2 diabetes
    Mi Yeon Kang
    The Korean Journal of Internal Medicine.2015; 30(5): 648.     CrossRef
  • Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes
    Jae-Seung Yun, Seung-Hyun Ko, Sun-Hye Ko, Ki-Ho Song, Ki-Dong Yoo, Kun-Ho Yoon, Yong-Moon Park, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2015; 39(6): 498.     CrossRef
  • The Influence of Admission Hypoglycemia on Clinical Outcomes in Acute Myocardial Infarction Patients with Diabetes Mellitus
    Eun Jung Kim, Myung Ho Jeong, In Seok Jeong, Sang Gi Oh, Sang Hyung Kim, Young keun Ahn, Ju Han Kim, Young Jo Kim, Shung Chull Chae, Taek Jong Hong, In Whan Seong, Jei Keon Chae, Chong Jin Kim, Myeong Chan Cho, Ki Bae Seung, Hyo Soo Kim
    Korean Journal of Medicine.2014; 87(5): 565.     CrossRef
  • Corrected QT Interval Prolongation during Severe Hypoglycemia without Hypokalemia in Patients with Type 2 Diabetes
    Jae Won Beom, Jung Min Kim, Eun Joo Chung, Ju Yeong Kim, Seung Yeong Ko, Sang Don Na, Cheol Hwan Kim, Gun Park, Mi Yeon Kang
    Diabetes & Metabolism Journal.2013; 37(3): 190.     CrossRef
  • Presence of Macroalbuminuria Predicts Severe Hypoglycemia in Patients With Type 2 Diabetes
    Jae-Seung Yun, Sun-Hye Ko, Sun-Hee Ko, Ki-Ho Song, Yu-Bae Ahn, Kun-Ho Yoon, Yong-Moon Park, Seung-Hyun Ko
    Diabetes Care.2013; 36(5): 1283.     CrossRef
  • Hypoglycemia: The neglected complication
    Sanjay Kalra, Jagat Jyoti Mukherjee, Subramanium Venkataraman, Ganapathi Bantwal, Shehla Shaikh, Banshi Saboo, Ashok Kumar Das, Ambady Ramachandran
    Indian Journal of Endocrinology and Metabolism.2013; 17(5): 819.     CrossRef
  • Severe Hypoglycemia in Patients with Diabetes
    Jae Seung Yun, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2012; 36(4): 273.     CrossRef
  • Severe hypoglycaemia requiring the assistance of emergency medical services - frequency, causes and symptoms
    Veronika Krnacova, Ales Kubena, Karel Macek, Martin Bezdek, Alena Smahelova, Jiri Vlcek
    Biomedical Papers.2012; 156(3): 271.     CrossRef
  • Higher Morning to Evening Ratio in Total Dose of Twice-Daily Biphasic Insulin Analog Might Be Effective in Achieving Glucose Control in Patients with Poorly Controlled Type 2 Diabetes
    Yong-Ho Lee, Byung-Wan Lee, Hea Jin Kwon, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
    Diabetes Technology & Therapeutics.2012; 14(6): 508.     CrossRef
Insulin Secretion and Incretin Hormone Concentration in Women with Previous Gestational Diabetes Mellitus
Sung Hoon Yu, Bongjun Cho, Yejin Lee, Eunhye Kim, Sung Hee Choi, Soo Lim, Ka Hee Yi, Young Joo Park, Kyong Soo Park, Hak Chul Jang
Diabetes Metab J. 2011;35(1):58-64.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.58
  • 6,876 View
  • 41 Download
  • 7 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

We examined the change in the levels of incretin hormone and effects of glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide 1 (GLP-1) on insulin secretion in women with previous gestational diabetes (pGDM).

Methods

A 75-g oral glucose tolerance test (OGTT) was conducted on 34 women with pGDM. In addition, 11 women with normal glucose tolerance, matched for age, height and weight, were also tested. The insulin, GIP, GLP-1, and glucagon concentrations were measured, and their anthropometric and biochemical markers were also measured.

Results

Among 34 women with pGDM, 18 had normal glucose tolerance, 13 had impaired glucose tolerance (IGT) and 1 had diabetes. No significant differences were found in GLP-1 concentration between the pGDM and control group. However, a significantly high level of glucagon was present in the pGDM group at 30 minutes into the OGTT. The GIP concentration was elevated at 30 minutes and 60 minutes in the pGDM group. With the exception of the 30-minute timepoint, women with IGT had significantly high blood glucose from 0 to 120 minutes. However, there was no significant difference in insulin or GLP-1 concentration. The GIP level was significantly high from 0 to 90 minutes in patients diagnosed with IGT.

Conclusion

GLP-1 secretion does not differ between pGDM patients and normal women. GIP was elevated, but that does not seem to induce in increase in insulin secretion. Therefore, we conclude that other factors such as heredity and environment play important roles in the development of type 2 diabetes.

Citations

Citations to this article as recorded by  
  • Association of GLP-1 secretion with parameters of glycemic control in women after gestational diabetes mellitus
    Eleni Pappa, Kristina Busygina, Saori Harada, Hana Hermann, Cornelia Then, Andreas Lechner, Uta Ferrari, Jochen Seissler
    BMJ Open Diabetes Research & Care.2024; 12(1): e003706.     CrossRef
  • Inadequate Glucagon Suppression During OGTT in Prediabetes: A Systematic Review and Meta-analysis
    Lina Chang, Ying Liu, Yian Gu, Siyu Yan, Li Ding, Ming Liu, Qing He
    The Journal of Clinical Endocrinology & Metabolism.2024; 109(10): 2673.     CrossRef
  • Increased Pro-Inflammatory T Cells, Senescent T Cells, and Immune-Check Point Molecules in the Placentas of Patients With Gestational Diabetes Mellitus
    Yea Eun Kang, Hyon-Seung Yi, Min-Kyung Yeo, Jung Tae Kim, Danbit Park, Yewon Jung, Ok Soon Kim, Seong Eun Lee, Ji Min Kim, Kyong Hye Joung, Ju Hee Lee, Bon Jeong Ku, Mina Lee, Hyun Jin Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Simulation of Oral Glucose Tolerance Tests and the Corresponding Isoglycemic Intravenous Glucose Infusion Studies for Calculation of the Incretin Effect
    Myeungseon Kim, Tae Jung Oh, Jung Chan Lee, Karam Choi, Min Young Kim, Hee Chan Kim, Young Min Cho, Sungwan Kim
    Journal of Korean Medical Science.2014; 29(3): 378.     CrossRef
  • Metabolic, hormonal characteristics and genetic variants of TCF7L2 associated with development of gestational diabetes mellitus in Mexican women
    Ruth Reyes‐López, Elva Pérez‐Luque, Juan Manuel Malacara
    Diabetes/Metabolism Research and Reviews.2014; 30(8): 701.     CrossRef
  • Reduced postprandial GLP‐1 responses in women with gestational diabetes mellitus
    L. Bonde, T. Vilsbøll, T. Nielsen, J. I. Bagger, J. A. Svare, J. J. Holst, S. Larsen, F. K. Knop
    Diabetes, Obesity and Metabolism.2013; 15(8): 713.     CrossRef
  • Women with normal glucose tolerance and a history of gestational diabetes show significant impairment of β-cell function at normal insulin sensitivity
    P. Molęda, K. Homa, K. Safranow, Z. Celewicz, A. Fronczyk, L. Majkowska
    Diabetes & Metabolism.2013; 39(2): 155.     CrossRef
A Survey on Ubiquitous Healthcare Service Demand among Diabetic Patients
Soo Lim, So-Youn Kim, Jung Im Kim, Min Kyung Kwon, Sei Jin Min, Soo Young Yoo, Seon Mee Kang, Hong Il Kim, Hye Seung Jung, Kyong Soo Park, Jun Oh Ryu, Hayley Shin, Hak Chul Jang
Diabetes Metab J. 2011;35(1):50-57.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.50
  • 10,631 View
  • 32 Download
  • 25 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Advanced information technology can be used when developing diagnostic and treatment strategies to provide better care for diabetic patients. However, the levels of need and demand for the use of technological advances have not been investigated in diabetic patients. We proposed and developed an individualized, ubiquitous (U)-healthcare service using advanced information technology for more effective glucose control. Prior to our service initiation, we surveyed patient needs and other pertinent information.

Methods

During August 2009, we conducted a 34-item questionnaire survey among patients with diabetes who were older than 40 years in two certain hospitals in Korea.

Results

The mean age of the 228 participants was 61.2±9 years, and males made up 49.1% of the sample. Seventy-one percent replied that they wanted individualized healthcare service, and they also wanted their health information to be delivered through mobile devices such as a cellular phone or a personal digital assistant (40.4%). Most patients had never heard of U-healthcare services (81.1%); however, after explaining the concept, 71.1% of participants responded that they would use the service if it was provided. Despite their willingness, participants were concerned about technical difficulty in using the service (26.3%) as well as the cost of the service (29.8%).

Conclusion

The current study suggests that more than 70% of diabetic patients are interested in using U-healthcare services. To encourage widespread use, the application program or device of U-healthcare services should be simple, easy to use and affordable while also including a policy for the protection of private information.

Citations

Citations to this article as recorded by  
  • Pseudonym revocation system for IoT-based medical applications
    Nabila Bermad, Salah Zemmoudj, Louiza Bouallouche-Medjkoune, Lyes Khoukhi
    Computer Networks.2025; 257: 110983.     CrossRef
  • Steering AI-driven Personalization of Scientific Text for General Audiences
    Taewook Kim, Dhruv Agarwal, Jordan Ackerman, Manaswi Saha
    Proceedings of the ACM on Human-Computer Interaction.2025; 9(7): 1.     CrossRef
  • Willingness of diabetes mellitus patients to use mHealth applications and its associated factors for self-care management in a low-income country: an input for digital health implementation
    Agmasie Damtew Walle, Tigist Andargie Ferede, Adamu Ambachew Shibabaw, Sisay Maru Wubante, Habtamu Alganeh Guadie, Chalachew Msganaw Yehula, Addisalem Workie Demsash
    BMJ Health & Care Informatics.2023; 30(1): e100761.     CrossRef
  • Development and Operation of a Video Teleconsultation System Using Integrated Medical Equipment Gateway: a National Project for Workers in Underserved Areas
    Hyun Sang Park, Kwang il Kim, Jae Young Soh, Young Ho Hyun, Bang Eun Lee, Jong Hwa Lee, Jung Gwon Jo, Han Chae Lee, Hwa Sun Kim
    Journal of Medical Systems.2020;[Epub]     CrossRef
  • Patient experience with an educational mobile health application: A pilot study on usability and feasibility in a Saudi population
    Sireen Abdul Rahim Shilbayeh, Sahar Abd El Rahman Ismail, Meihua Qian
    Cogent Psychology.2020;[Epub]     CrossRef
  • Smart Care Based on Telemonitoring and Telemedicine for Type 2 Diabetes Care: Multi-Center Randomized Controlled Trial
    Ji Yun Jeong, Jae-Han Jeon, Kwi-Hyun Bae, Yeon-Kyung Choi, Keun-Gyu Park, Jung-Guk Kim, Kyu Chang Won, Bong Soo Cha, Chul Woo Ahn, Dong Won Kim, Chang Hee Lee, In-Kyu Lee
    Telemedicine and e-Health.2018; 24(8): 604.     CrossRef
  • Satisfaction Survey on Information Technology-Based Glucose Monitoring System Targeting Diabetes Mellitus in Private Local Clinics in Korea
    Hun-Sung Kim, So Jung Yang, Yoo Jin Jeong, Young-Eun Kim, Seok-Won Hong, Jae Hyoung Cho
    Diabetes & Metabolism Journal.2017; 41(3): 213.     CrossRef
  • Willingness of patients with diabetes to use an ICT-based self-management tool: a cross-sectional study
    Tomomi Shibuta, Kayo Waki, Nobuko Tomizawa, Ayumi Igarashi, Noriko Yamamoto-Mitani, Satoko Yamaguchi, Hideo Fujita, Shigeko Kimura, Katsuhito Fujiu, Hironori Waki, Yoshihiko Izumida, Takayoshi Sasako, Masatoshi Kobayashi, Ryo Suzuki, Toshimasa Yamauchi, T
    BMJ Open Diabetes Research & Care.2017; 5(1): e000322.     CrossRef
  • Evaluating the Effect of Web-Based Iranian Diabetic Personal Health Record App on Self-Care Status and Clinical Indicators: Randomized Controlled Trial
    Amirabbas Azizi, Robab Aboutorabi, Zahra Mazloum-Khorasani, Monavar Afzal-Aghaea, Hamed Tabesh, Mahmood Tara
    JMIR Medical Informatics.2016; 4(4): e32.     CrossRef
  • Development, Validation, and Evaluation of Web-Based Iranian Diabetic Personal Health Record: Rationale for and Protocol of a Randomized Controlled Trial
    Amirabbas Azizi, Robab Aboutorabi, Zahra Mazloum-Khorasani, Monavar Afzal-Aghaea, Mahmood Tara
    JMIR Research Protocols.2016; 5(1): e39.     CrossRef
  • Randomized, Open-Label, Parallel Group Study to Evaluate the Effect of Internet-Based Glucose Management System on Subjects with Diabetes in China
    Hun-Sung Kim, Chenglin Sun, So Jung Yang, Lin Sun, Fei Li, In Young Choi, Jae-Hyoung Cho, Guixia Wang, Kun-Ho Yoon
    Telemedicine and e-Health.2016; 22(8): 666.     CrossRef
  • Environment and Its Influence on Health and Demographics in South Korea
    Ramiro Bravo Santisteban, Young Kim, Umar Farooq, Tae-Seong Kim, Sekyoung Youm, Seung-Hun Park
    International Journal of Environmental Research and Public Health.2016; 13(2): 183.     CrossRef
  • U-Healthcare Center Service in Busan City, South Korea: An Empirical Analysis and the Results of 1 Year of Service
    Ramiro D. Bravo Santisteban, Sekyoung Youm, Seung-Hun Park
    Telemedicine and e-Health.2015; 21(10): 774.     CrossRef
  • Users’ perception on telemedicine service: a comparative study of public healthcare and private healthcare
    Mi Jung Rho, Kun Ho Yoon, Hun-Sung Kim, In Young Choi
    Multimedia Tools and Applications.2015; 74(7): 2483.     CrossRef
  • An Activity Recognition Model Using Inertial Sensor Nodes in a Wireless Sensor Network for Frozen Shoulder Rehabilitation Exercises
    Hsueh-Chun Lin, Shu-Yin Chiang, Kai Lee, Yao-Chiang Kan
    Sensors.2015; 15(1): 2181.     CrossRef
  • Current Clinical Status of Telehealth in Korea: Categories, Scientific Basis, and Obstacles
    Hun-Sung Kim, Hyunah Kim, Suehyun Lee, Kye Hwa Lee, Ju Han Kim
    Healthcare Informatics Research.2015; 21(4): 244.     CrossRef
  • New Directions in Chronic Disease Management
    Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon
    Endocrinology and Metabolism.2015; 30(2): 159.     CrossRef
  • Using mobile phones in healthcare management for the elderly
    Hun-Sung Kim, Kye-Hwa Lee, Hyunah Kim, Ju Han Kim
    Maturitas.2014; 79(4): 381.     CrossRef
  • Future Prospects of Health Management Systems Using Cellular Phones
    Hun-Sung Kim, Yunji Hwang, Jae-Ho Lee, Hye Young Oh, Yi-Jun Kim, Hyeon Yoon Kwon, Hyoseung Kang, Hyunah Kim, Rae Woong Park, Ju Han Kim
    Telemedicine and e-Health.2014; 20(6): 544.     CrossRef
  • Exploring the Relationship Among User Satisfaction, Compliance, and Clinical Outcomes of Telemedicine Services for Glucose Control
    Mi Jung Rho, Si Ra Kim, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Seong K. Mun, In Young Choi
    Telemedicine and e-Health.2014; 20(8): 712.     CrossRef
  • Impact of Information Technology on the Therapy of Type-1 Diabetes: A Case Study of Children and Adolescents in Germany
    Rolf-Dietrich Berndt, Claude Takenga, Petra Preik, Sebastian Kuehn, Luise Berndt, Herbert Mayer, Alexander Kaps, Ralf Schiel
    Journal of Personalized Medicine.2014; 4(2): 200.     CrossRef
  • Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users
    Jaebeom Lee, Mi Jung Rho
    Healthcare Informatics Research.2013; 19(3): 167.     CrossRef
  • Telerehabilitation Needs: A Bidirectional Survey of Health Professionals and Individuals with Spinal Cord Injury in South Korea
    Jongbae Kim, Shinyoung Lim, Jayeon Yun, Da-hye Kim
    Telemedicine and e-Health.2012; 18(9): 713.     CrossRef
  • Development of a smartphone-based diabetes self-care management system
    Sang Youl Rhee, Jeong-taek Woo, Young Seol Kim, Young Kil Choi
    Personalized Medicine Universe.2012; 1(1): 85.     CrossRef
  • Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
    Taridzo Chomutare, Luis Fernandez-Luque, Eirik Årsand, Gunnar Hartvigsen
    Journal of Medical Internet Research.2011; 13(3): e65.     CrossRef
Review
Gestational Diabetes in Korea: Incidence and Risk Factors of Diabetes in Women with Previous Gestational Diabetes
Hak Chul Jang
Diabetes Metab J. 2011;35(1):1-7.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.1
  • 27,362 View
  • 82 Download
  • 59 Crossref
AbstractAbstract PDFPubReader   ePub   

Korean women with a history of gestational diabetes mellitus (GDM) have a 3.5 times greater risk of developing postpartum diabetes than the general population. The incidence of type 2 diabetes mellitus in early postpartum is reported as 10-15% in Korean women. A prospective follow-up study on Korean women with GDM showed that approximately 40% of women with previous GDM were expected to develop diabetes within 5 years postpartum. Independent risk factors for the development of diabetes in Korean women with previous GDM are pre-pregnancy body weight, gestational age at diagnosis, antepartum hyperglycemia on oral glucose tolerance test, low insulin response to oral glucose load, and family history of diabetes. Women with postpartum diabetes have greater body mass indexes, body weight, and waist circumferences than women with normal glucose tolerance. Multiple logistic regression analysis has revealed that waist circumference is the strongest obesity index along with systolic blood pressure and that triglyceride levels are a major independent risk factor for developing diabetes. These results in Korean women with previous GDM underline the importance of postpartum testing in Korean women diagnosed with GDM, and demonstrate that impaired B-cell function, obesity, and especially visceral obesity, are associated with the development of diabetes.

Citations

Citations to this article as recorded by  
  • Comparative effects of cognitive training with whole-body vibration vs. traditional physiotherapy on balance and plantar sensation in diabetic neuropathy
    Maryam Niajalili, Soheila Sadeghi, Alireza Akbarzadeh Baghban, Khosro Khademi Kalantari, Sedigheh Sadat Naimi
    Journal of Bodywork and Movement Therapies.2026; 46: 1.     CrossRef
  • Pregravid Weight Gain Is Associated with an Increased Risk of Gestational Diabetes
    Sunmie Kim, Kyungdo Han, Su-Yeon Choi, Min Joo Kim, Sun Young Yang, Seung Ho Choi, Jeong Yoon Yim, Jin Ju Kim, Min-Jeong Kim
    Diabetes & Metabolism Journal.2025; 49(4): 826.     CrossRef
  • 2025 Clinical Practice Guidelines for Diabetes Management in Korea: Recommendation of the Korean Diabetes Association
    Shinae Kang, Seon Mee Kang, Jong Han Choi, Seung-Hyun Ko, Bo Kyung Koo, Hyuk-Sang Kwon, Mi Kyung Kim, Sang Yong Kim, Soo-Kyung Kim, Young-eun Kim, Eun Sook Kim, Jae Hyeon Kim, Chong Hwa Kim, Ji Min Kim, Hae Jin Kim, Min Kyong Moon, Sun Joon Moon, Jun Sung
    Diabetes & Metabolism Journal.2025; 49(4): 582.     CrossRef
  • Kidney Dysfunction Following Gestational Diabetes Mellitus
    Mairéad Hamill, Cristina Gomez Fernandez, Rea Mitsigiorgi, Tanvi Mansukhani, Kypros H. Nicolaides, Kate Bramham
    Clinical Journal of the American Society of Nephrology.2025; 20(10): 1418.     CrossRef
  • Antenatal factors and risk of postpartum hyperglycemia in women with gestational diabetes mellitus: A central India prospective cohort study
    Nilajkumar Bagde, Madhuri Bagde, Vijayalakshmi Shanbhag, Pragati Trigunait, Nagma Sheikh, Sarita Agrawal
    Journal of Family Medicine and Primary Care.2024; 13(1): 59.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
    Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
    Diabetes & Metabolism Journal.2024; 48(4): 546.     CrossRef
  • Long-term Outcomes of Gestational Diabetes Mellitus, a Retrospective Cohort Study
    Alper İleri, Hande İleri, Can Ata, Ayşe Rabia Şenkaya, Umut Gök Balcı
    Anatolian Journal of Medicine.2023; 32(1): 21.     CrossRef
  • Risk of Gestational Diabetes and Pregnancy-Induced Hypertension with a History of Polycystic Ovary Syndrome: A Nationwide Population-Based Cohort Study
    Seung-Woo Yang, Sang-Hee Yoon, Myounghwan Kim, Yong-Soo Seo, Jin-Sung Yuk
    Journal of Clinical Medicine.2023; 12(5): 1738.     CrossRef
  • Models Predicting Postpartum Glucose Intolerance Among Women with a History of Gestational Diabetes Mellitus: a Systematic Review
    Yitayeh Belsti, Lisa Moran, Demelash Woldeyohannes Handiso, Vincent Versace, Rebecca Goldstein, Aya Mousa, Helena Teede, Joanne Enticott
    Current Diabetes Reports.2023; 23(9): 231.     CrossRef
  • The Incidence and Management of Type 2 Diabetes Mellitus After Gestational Diabetes Mellitus
    Chinyere L Ikoh Rph., Roland Tang Tinong
    Cureus.2023;[Epub]     CrossRef
  • Can maternal abdominal fat thickness predict antenatal insulin therapy in patients with gestational diabetes mellitus?
    Sedat Akgöl, Mehmet Şükrü Budak, Süleyman Cemil Oğlak, Fatma Ölmez, Mehmet Emin Dilek, Serhat Kartal
    Journal of Obstetrics and Gynaecology Research.2022; 48(3): 634.     CrossRef
  • The role of plasminogen activator inhibitor-1 in gynecological and obstetrical diseases: An update review
    Jiaqi Zhai, Zijian Li, Yue Zhou, Xiuhua Yang
    Journal of Reproductive Immunology.2022; 150: 103490.     CrossRef
  • Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications
    Joon Ho Moon, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(1): 3.     CrossRef
  • Specificities of the Diabetic Population in French Guiana: The Health Barometer Survey
    Nadia Sabbah, Mickael. Massicard , Nacher Mathieu
    Current Diabetes Reviews.2022;[Epub]     CrossRef
  • Risk and Risk Factors for Postpartum Type 2 Diabetes Mellitus in Women with Gestational Diabetes: A Korean Nationwide Cohort Study
    Mi Jin Choi, Jimi Choi, Chae Weon Chung
    Endocrinology and Metabolism.2022; 37(1): 112.     CrossRef
  • Early pregnancy body mass index and gestational weight gain: A mediating or moderating factor for short stature and risk of gestational diabetes mellitus?
    Heng Yaw Yong, Zalilah Mohd Shariff, Barakatun Nisak Mohd Yusof, Zulida Rejali, Yvonne Yee Siang Tee, Jacques Bindels, Eline M. van der Beek, Mohammad Asghari Jafarabadi
    PLOS ONE.2022; 17(8): e0272253.     CrossRef
  • Increased Pro-Inflammatory T Cells, Senescent T Cells, and Immune-Check Point Molecules in the Placentas of Patients With Gestational Diabetes Mellitus
    Yea Eun Kang, Hyon-Seung Yi, Min-Kyung Yeo, Jung Tae Kim, Danbit Park, Yewon Jung, Ok Soon Kim, Seong Eun Lee, Ji Min Kim, Kyong Hye Joung, Ju Hee Lee, Bon Jeong Ku, Mina Lee, Hyun Jin Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Higher Muscle Mass Protects Women with Gestational Diabetes Mellitus from Progression to Type 2 Diabetes Mellitus
    Yujin Shin, Joon Ho Moon, Tae Jung Oh, Chang Ho Ahn, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(6): 890.     CrossRef
  • Longitudinal Changes of High Molecular Weight Adiponectin are Associated with Postpartum Development of Type 2 Diabetes Mellitus in Patients with Gestational Diabetes Mellitus
    Dong-Hwa Lee, Jung Ah Lim, Jung Hee Kim, Soo Heon Kwak, Sung Hee Choi, Hak Chul Jang
    Endocrinology and Metabolism.2021; 36(1): 114.     CrossRef
  • Vitamin D Deficiency at Mid-Pregnancy Is Associated with a Higher Risk of Postpartum Glucose Intolerance in Women with Gestational Diabetes Mellitus
    Kyung-Soo Kim, Seok Won Park, Yong-Wook Cho, Soo-Kyung Kim
    Endocrinology and Metabolism.2020; 35(1): 97.     CrossRef
  • Long-Term Postpartum Outcomes of Insulin Resistance and β-cell Function in Women with Previous Gestational Diabetes Mellitus
    Zhirong Miao, Honghua Wu, Liu Ren, Nan Bu, Lili Jiang, Huixia Yang, Junqing Zhang, Xiaohui Guo
    International Journal of Endocrinology.2020; 2020: 1.     CrossRef
  • Association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study
    Jung A Kim, Jinsil Kim, Eun Roh, So-hyeon Hong, You-Bin Lee, Sei Hyun Baik, Kyung Mook Choi, Eunjin Noh, Soon Young Hwang, Geum Joon Cho, Hye Jin Yoo
    BMJ Open Diabetes Research & Care.2020; 8(1): e001084.     CrossRef
  • Oral Glucose Tolerance Testing Allows Better Prediction of Diabetes in Women with a History of Gestational Diabetes Mellitus
    Tae Jung Oh, Yeong Gi Kim, Sunyoung Kang, Joon Ho Moon, Soo Heon Kwak, Sung Hee Choi, Soo Lim, Kyong Soo Park, Hak C. Jang, Joon-Seok Hong, Nam H. Cho
    Diabetes & Metabolism Journal.2019; 43(3): 342.     CrossRef
  • Maternal abdominal subcutaneous fat thickness as a simple predictor for gestational diabetes mellitus
    Mehmet Sukru Budak, Ilker Kahramanoglu, Salvatore Giovanni Vitale, Sedat Akgol, Mehmet Emin Dilek, Serhat Kartal, Salvatore Caruso, Bekir Kahveci, Mehmet Obut, Muhammed Hanifi Bademkiran, Antonio Cianci
    Journal of Perinatal Medicine.2019; 47(6): 605.     CrossRef
  • Associations between higher egg consumption during pregnancy with lowered risks of high blood pressure and gestational diabetes mellitus
    Alireza Milajerdi, Hatav Tehrani, Fahimeh Haghighatdoost, Bagher Larijani, Pamela J. Surkan, Leila Azadbakht
    International Journal for Vitamin and Nutrition Research.2018; 88(3-4): 166.     CrossRef
  • Gestational diabetes with diabetes and prediabetes risks: a large observational study
    Yun Shen, Peng Wang, Leishen Wang, Shuang Zhang, Huikun Liu, Weiqin Li, Nan Li, Wei Li, Junhong Leng, Jing Wang, Huiguang Tian, Cuilin Zhang, Jaakko Tuomilehto, Xilin Yang, Zhijie Yu, Gang Hu
    European Journal of Endocrinology.2018; 179(1): 51.     CrossRef
  • Socioeconomic status can affect pregnancy outcomes and complications, even with a universal healthcare system
    Min Kyoung Kim, Seung Mi Lee, Sung-Hee Bae, Hyun Joo Kim, Nam Gu Lim, Seok-Jun Yoon, Jin Yong Lee, Min-Woo Jo
    International Journal for Equity in Health.2018;[Epub]     CrossRef
  • The Effect of Common and Possible Risk Factors’ Co-occurrence to the Development of Gestational Diabetes Mellitus
    Eren Gürkan, Emre Dirican, Neşe Bülbül
    Ankara Medical Journal.2018;[Epub]     CrossRef
  • Postpartum risk of diabetes and predictive factors for glucose intolerance in East Asian women with gestational diabetes
    Hiromi Inoue, Ko Ishikawa, Kenji Takeda, Akina Kobayashi, Kenichi Kurita, Jin Kumagai, Hidetaka Yokoh, Koutaro Yokote
    Diabetes Research and Clinical Practice.2018; 140: 1.     CrossRef
  • Prevalence and risk factors for gestational diabetes mellitus according to the Diabetes in Pregnancy Study Group India in comparison to Internationa Association of the Diabetes and Pregnancy Study Groups in El-Minya, Egypt
    Ghada M. El Sagheer, Lamia Hamdi
    The Egyptian Journal of Internal Medicine.2018; 30(3): 131.     CrossRef
  • Seremban Cohort Study (SECOST): a prospective study of determinants and pregnancy outcomes of maternal glycaemia in Malaysia
    Heng Yaw Yong, Zalilah Mohd Shariff, Zulida Rejali, Barakatun Nisak Mohd Yusof, Farah Yasmin, Lalitha Palaniveloo
    BMJ Open.2018; 8(1): e018321.     CrossRef
  • Prevention of type 2 diabetes mellitus in women with previous gestational diabetes mellitus
    Joon Ho Moon, Soo Heon Kwak, Hak C. Jang
    The Korean Journal of Internal Medicine.2017; 32(1): 26.     CrossRef
  • Needs for Development of IT-based Nutritional Management Program for Women with Gestational Diabetes Mellitus
    Chan-Jung Han, Sun-Young Lim, Eunsuk Oh, Yoon-Hee Choi, Kun-Ho Yoon, Jin-Hee Lee
    Korean Journal of Community Nutrition.2017; 22(3): 207.     CrossRef
  • Incidence and Contributing Factors of Persistent Hyperglycemia at 6–12 Weeks Postpartum in Iranian Women with Gestational Diabetes: Results from LAGA Cohort Study
    Sedigheh Nouhjah, Hajieh Shahbazian, Nahid Shahbazian, Alireza Jahanshahi, Shayesteh Jahanfar, Bahman Cheraghian
    Journal of Diabetes Research.2017; 2017: 1.     CrossRef
  • The effect of high-intensity breastfeeding on postpartum glucose tolerance in women with recent gestational diabetes
    Ichiro Yasuhi, Tomoko Soda, Hiroshi Yamashita, Atsuko Urakawa, Mihoko Izumi, Yukari Kugishima, Yasushi Umezaki
    International Breastfeeding Journal.2017;[Epub]     CrossRef
  • Perinatal Outcomes according to Screening Timing in Gestational Diabetic Women with Family History of Diabetes
    Han-Sung Kwon, Seo-Yeon Kim, JiEun Park, Han-Sung Hwang, In-Sook Sohn
    Perinatology.2017; 28(4): 151.     CrossRef
  • Predictors of type 2 diabetes among Taiwanese women with prior gestational diabetes mellitus
    Pei‐Chao Lin, Chich‐Hsiu Hung, Ruei‐Dian Huang, Te‐Fu Chan
    Japan Journal of Nursing Science.2016; 13(1): 3.     CrossRef
  • Prevalence of Gestational Diabetes Mellitus in Korea: A National Health Insurance Database Study
    Bo Kyung Koo, Joon Ho Lee, Jimin Kim, Eun Jin Jang, Chang-Hoon Lee, Noel Christopher Barengo
    PLOS ONE.2016; 11(4): e0153107.     CrossRef
  • Diagnostic value of haemoglobin A1c in post‐partum screening of women with gestational diabetes mellitus
    K.‐S. Kim, S.‐K. Kim, Y.‐W. Cho, S. W. Park
    Diabetic Medicine.2016; 33(12): 1668.     CrossRef
  • Patterns of Diagnosis and Risk Factors for Type 2 Diabetes in Women with a History of Gestational Diabetes Mellitus
    Mi Jin Choi, Chae Weon Chung
    Perspectives in Nursing Science.2016; 13(1): 17.     CrossRef
  • Risk factors for postpartum glucose intolerance in women with gestational diabetes mellitus
    Nobue Kojima, Kenji Tanimura, Masashi Deguchi, Mayumi Morizane, Yushi Hirota, Wataru Ogawa, Hideto Yamada
    Gynecological Endocrinology.2016; 32(10): 803.     CrossRef
  • Metabolic syndrome independently predicts future diabetes in women with a history of gestational diabetes mellitus
    Nam H. Cho, Chang Ho Ahn, Joon Ho Moon, Soo Heon Kwak, Sung Hee Choi, Soo Lim, Kyong Soo Park, Boyd E. Metzger, Hak C. Jang
    Medicine.2016; 95(35): e4582.     CrossRef
  • Insulin resistance and lipid profile during an oral glucose tolerance test in women with and without gestational diabetes mellitus
    ZX. Liang, Y. Wu, XY. Zhu, Q. Fang, DQ. Chen
    Journal of Obstetrics and Gynaecology.2016; 36(3): 337.     CrossRef
  • Fasting and 2-hour plasma glucose, and HbA1c in pregnancy and the postpartum risk of diabetes among Chinese women with gestational diabetes
    Huikun Liu, Shuang Zhang, Leishen Wang, Junhong Leng, Weiqin Li, Nan Li, Min Li, Yijuan Qiao, Huiguang Tian, Jaakko Tuomilehto, Xilin Yang, Zhijie Yu, Gang Hu
    Diabetes Research and Clinical Practice.2016; 112: 30.     CrossRef
  • Glucose tolerance status of Asian Indian women with gestational diabetes at 6weeks to 1year postpartum (WINGS-7)
    Balaji Bhavadharini, Ranjit Mohan Anjana, Manni Mohanraj Mahalakshmi, Kumar Maheswari, Arivudainambi Kayal, Ranjit Unnikrishnan, Harish Ranjani, Lyudmil Ninov, Sonak D. Pastakia, Sriram Usha, Belma Malanda, Anne Belton, Ram Uma, Viswanathan Mohan
    Diabetes Research and Clinical Practice.2016; 117: 22.     CrossRef
  • Identification of Genetic Variants of Gestational Diabetes in South Indians
    Sekar Kanthimathi, Manickam Chidambaram, Samuel Liju, Balaji Bhavadharini, Dhanasekaran Bodhini, Visvanathan Gnana Prakash, Anandakumar Amutha, Aruyerchelvan Bhavatharini, Ranjit Mohan Anjana, Viswanathan Mohan, Venkatesan Radha
    Diabetes Technology & Therapeutics.2015; 17(7): 462.     CrossRef
  • Changing relative contribution of abdominal obesity and a family history of diabetes on prevalence of diabetes mellitus in Korean men and women aged 30–49 years from 2001 to 2010 从2001至2010年在韩国30–49岁年龄段的男性与女性中腹型肥胖以及糖尿病家族史对糖尿病患病率相对贡献度的变化
    Bo Kyung Koo, Sang Wan Kim, Ka Hee Yi, Kyong Soo Park, Min Kyong Moon
    Journal of Diabetes.2015; 7(4): 465.     CrossRef
  • Gestational diabetes: Linking epidemiology, excessive gestational weight gain, adverse pregnancy outcomes, and future metabolic syndrome
    Celeste Durnwald
    Seminars in Perinatology.2015; 39(4): 254.     CrossRef
  • Prepregnancy body mass index and weight change on postpartum diabetes risk among gestational diabetes women
    Huikun Liu, Cuiping Zhang, Shuang Zhang, Leishen Wang, Junhong Leng, Dongdong Liu, Han Fang, Weiqin Li, Zhijie Yu, Xilin Yang, Ling Dong, Gang Hu
    Obesity.2014; 22(6): 1560.     CrossRef
  • Gestational Diabetes Mellitus in Korean Women: Similarities and Differences from Other Racial/Ethnic Groups
    Catherine Kim
    Diabetes & Metabolism Journal.2014; 38(1): 1.     CrossRef
  • Risk Factors for Progression to Postpartum Diabetes Mellitus and Perinatal Complications in Women with Gestational Diabetes Mellitus
    Su jeong Kim, Hyunji Chun, Eun-Hee Jang, Joune Seup Lee, MeeKyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
    The Journal of Korean Diabetes.2014; 15(2): 116.     CrossRef
  • The influence of weight gain patterns in pregnancy on fetal growth using cluster analysis in an obese and nonobese population
    S. Galjaard, A. Pexsters, R. Devlieger, I. Guelinckx, Y. Abdallah, C. Lewis, B. van Calster, T. Bourne, D. Timmerman, J. Luts
    Obesity.2013; 21(7): 1416.     CrossRef
  • Prediction of type 2 diabetes in women with a history of gestational diabetes using a genetic risk score
    Soo Heon Kwak, Sung Hee Choi, Kyunga Kim, Hye Seung Jung, Young Min Cho, Soo Lim, Nam H. Cho, Seong Yeon Kim, Kyong Soo Park, Hak C. Jang
    Diabetologia.2013; 56(12): 2556.     CrossRef
  • Obstetricians, Perhaps It’s Time to Change Lenses
    Yap Seng Chong, Sir Sabaratnam Arulkumaran
    Annals of the Academy of Medicine, Singapore.2013; 42(2): 61.     CrossRef
  • Finding Genetic Risk Factors of Gestational Diabetes
    Soo Heon Kwak, Hak C. Jang, Kyong Soo Park
    Genomics & Informatics.2012; 10(4): 239.     CrossRef
  • Association of Variations in TPH1 and HTR2B with Gestational Weight Gain and Measures of Obesity
    Soo Heon Kwak, Byoung Lae Park, Hail Kim, Michael S. German, Min Jin Go, Hye Seung Jung, Bo Kyong Koo, Young Min Cho, Sung Hee Choi, Yoon Shin Cho, Hyoung Doo Shin, Hak C. Jang, Kyong Soo Park
    Obesity.2012; 20(1): 233.     CrossRef
  • A Genome-Wide Association Study of Gestational Diabetes Mellitus in Korean Women
    Soo Heon Kwak, Sung-Hoon Kim, Young Min Cho, Min Jin Go, Yoon Shin Cho, Sung Hee Choi, Min Kyong Moon, Hye Seung Jung, Hyoung Doo Shin, Hyun Min Kang, Nam H. Cho, In Kyu Lee, Seong Yeon Kim, Bok-Ghee Han, Hak C. Jang, Kyong Soo Park
    Diabetes.2012; 61(2): 531.     CrossRef
  • Comparative analysis of current diagnostic criteria for gestational diabetes mellitus
    Mariya V Boyadzhieva, Iliana Atanasova, Sabina Zacharieva, Tsvetalina Tankova, Violeta Dimitrova
    Obstetric Medicine.2012; 5(2): 71.     CrossRef
  • The Epidemiology of Diabetes in Korea
    Dae Jung Kim
    Diabetes & Metabolism Journal.2011; 35(4): 303.     CrossRef
Original Articles
Effects of 'Ubiquitous Healthcare' on the Ability of Self-Management in Elderly Diabetic Patients.
Sung Hoon Yu, Sun Hee Kim, So Yeon Kim, Sung Hee Choi, Soo Lim, Yoon Seok Chang, Hak Jong Lee, Young Joo Park, Hak Chul Jang
Korean Diabetes J. 2009;33(1):58-64.   Published online February 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.1.58
  • 3,944 View
  • 40 Download
  • 5 Crossref
AbstractAbstract PDF
BACKGROUND
The need for a new healthcare system is growing due to the paradigm shift from health supervision to health maintenance. Previously, we performed a pilot study that examined the effectiveness of a ubiquitous healthcare (U-healthcare) diabetes management program which consists of self-monitoring of blood glucose (SMBG) and mobile phone services for elderly patients with type 2 diabetes mellitus. In this study, we investigated the effect of a diabetes management program using U-healthcare based on the self-care skills of elderly patients with diabetes mellitus. METHODS: From July to October 2005, 17 patients were recruited and provided with a blood glucometer with the ZigBee module and a mobile phone. In addition, the patients' understanding of diabetes self-care skills was examined at the beginning and end of the study. At the end of the study, we determined the level of patient satisfaction regarding U-healthcare services. RESULTS: The patients' test scores on their understanding of diabetes mellitus improved from 57.2 +/- 20.7 to 72.7 +/- 13.4%. Specifically, patient knowledge of the basic principles for a proper diabetic diet (52.9% vs. 82.4%, P = 0.046), foods that influence blood sugar level (41.2% vs. 76.5%, P = 0.007) and the influence of beverage choice (41.2% vs. 64.7%, P = 0.007), all increased. In addition, a significant increase in knowledge of living standards regarding diabetes mellitus was observed (64.7% vs. 88.2%, P = 0.0032). CONCLUSION: We conclude that the U-healthcare incorporating SMBG could be promising, as it improves self-management skills of diabetes mellitus patients, as well as their understanding of the disease.

Citations

Citations to this article as recorded by  
  • Self-management of Chronic Conditions Using mHealth Interventions in Korea: A Systematic Review
    Jae Yoon Yi, Yujin Kim, Yoon-Min Cho, Hongsoo Kim
    Healthcare Informatics Research.2018; 24(3): 187.     CrossRef
  • Effectiveness of the Smart Care Service for Diabetes Management
    Young-Soon Chung, Yongsuk Kim, Chang Hee Lee
    Healthcare Informatics Research.2014; 20(4): 288.     CrossRef
  • Ubiquitous Healthcare Service Has the Persistent Benefit on Glycemic Control and Body Weight in Older Adults With Diabetes
    Seon Mee Kang, Min Joo Kim, Hwa Young Ahn, Ji Won Yoon, Min Kyong Moon, Hye Seung Jung, Sung Hee Choi, Soo Lim, Kyong Soo Park, Hak C. Jang
    Diabetes Care.2012; 35(3): e19.     CrossRef
  • Improved Glycemic Control Without Hypoglycemia in Elderly Diabetic Patients Using the Ubiquitous Healthcare Service, a New Medical Information System
    Soo Lim, Seon Mee Kang, Hayley Shin, Hak Jong Lee, Ji Won Yoon, Sung Hoon Yu, So-Youn Kim, Soo Young Yoo, Hye Seung Jung, Kyong Soo Park, Jun Oh Ryu, Hak C. Jang
    Diabetes Care.2011; 34(2): 308.     CrossRef
  • A Survey on Ubiquitous Healthcare Service Demand among Diabetic Patients
    Soo Lim, So-Youn Kim, Jung Im Kim, Min Kyung Kwon, Sei Jin Min, Soo Young Yoo, Seon Mee Kang, Hong Il Kim, Hye Seung Jung, Kyong Soo Park, Jun Oh Ryu, Hayley Shin, Hak Chul Jang
    Diabetes & Metabolism Journal.2011; 35(1): 50.     CrossRef
Effect of Valsartan on Blood Pressure and Urinary Albumin Excretion in Hypertensive Type 2 Diabetic Patients: An Open-Label, Multicenter Study.
Se Jun Park, Dae Jung Kim, Hae Jin Kim, Soo Yeon Park, Ji A Seo, Nan Hee Kim, Sung Hee Choi, Soo Lim, Hak Chul Jang, Seung Hyun Ko, Ki Ho Song, Yu Bae Ahn, Soo Kyoung Kim, Yong Wook Cho, Jun Goo Kang, Sung Hee Ihm, Cheol Young Park, Sung Woo Park, Dong Hyun Shin, Yong Hyun Kim, Kwan Woo Lee
Korean Diabetes J. 2008;32(6):513-521.   Published online December 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.6.513
  • 3,682 View
  • 42 Download
AbstractAbstract PDF
BACKGROUND
Activation of renin-angiotensin system (RAS) has been an important mechanism of microvascular and macrovascular complications in diabetic patients. It has been reported that RAS blockades reduce the development and progression of diabetic nephropathy. The aim of this study was to evaluate whether valsartan, an angiotensin II receptor blocker (ARB), reduced blood pressure and urinary albumin excretion rate (UAER) in hypertensive type 2 diabetic patients. METHOD: Three hundred forty-seven hypertensive type 2 diabetic patients who had not taken angiotensin converting enzyme inhibitors or ARB for 6 months prior to this study were enrolled. We measured blood pressure and UAER before and after 24 weeks of valsartan treatment. RESULT: Baseline mean systolic and diastolic blood pressure was 143 +/- 15 and 87 +/- 11 mmHg, respectively and the median albumin excretion rate was 27 ug/mg. Reduction in systolic and diastolic blood pressure was 16 mmHg/10 mmHg and the median UAER was 19.3 ug/mg after 24 weeks (P < 0.01, respectively). When we divided the subjects into three groups according to the UAER (normoalbuminuria, microalbuminuria and macroalbuminuria), significant changes were reported in the microalbuminuria and the macroalbuminuria groups. Thirty-eight (42%) patients with microalbuminuria improved to normoalbuminuria and twelve (41%) patients with macroalbuminuria improved to microalbuminuria. We found an association between the improvement of blood pressure and UAER (R = 0.165, P = 0.015). CONCLUSION: We concluded that valsartan reduces urinary albumin excretion and blood pressure in hypertensive type 2 diabetic patients.
Review
Clinical Implication of Adiponectin.
Soo Lim, Hak Chul Jang
Korean Diabetes J. 2008;32(2):85-97.   Published online April 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.2.85
  • 3,944 View
  • 39 Download
  • 6 Crossref
AbstractAbstract PDF
Adipose tissue is now considered as an active hormone-secreting organ, which secretes a number of biologically active adipokines such as free fatty acids, leptin, tumor necrosis factor alpha (TNFalpha), interleukin-6, plasminogen activator inhibitor-1, adiponectin and retinol binding protein 4 (RBP4). Among these, adiponectin has attracted considerable attention as an adipokine that has important role in the development of type 2 diabetes, atherosclerosis and cardiovascular diseases. Adiponectin was discovered to be the most abundant adipose-specific transcript. Many epidemiological and clinical studies have demonstrated that serum levels of adiponectin are inversely associated with body weight, especially abdominal visceral fat accumulation. Studies among Japanese and Pima Indians have reported lower concentrations of adiponectin in patients with type 2 diabetes than in those with normal glucose tolerance. A low level of adiponectin was found to be a significant risk factor for the development of cardiovascular events in the Korean patients with type 2 diabetes. We recently published that exercise, having an insulin-sensitizing effect, could be a good therapy to prevent or delay diabetes and cardiovascular diseases in middle-aged women through the modification of adiponectin. These results suggest that the clinical implication of adiponectin. A number of studies have been conducted to clarify the biological role of adiponectin. Recent studies have showed that adiponectin has anti-inflammatory, anti-atherogenic, and glucose-lowering properties. Taken together, it is conceivable that adiponectin plays as a backbone of metabolic syndrome. Finally, pleiotropic functions of adiponectin may possibly serve to prevent and treat atherosclerosis, type 2 diabetes and cardiovascular diseases. Furthermore, enhancement of adiponectin secretion or action may be a good therapeutic target for preventing type 2 diabetes or cardiovascular diseases.

Citations

Citations to this article as recorded by  
  • Anti-Diabetic and Lipid-Improving Effects of Alpinia galanga Extract and Caffeine in Rats Fed a High-Fat Diet
    Su-Jin Park, Kyung-Ok Shin
    Journal of the East Asian Society of Dietary Life.2024; 34(2): 108.     CrossRef
  • Effects of the Serum Adiponectin to Tumor Necrosis Factor-α (TNF-α) Ratio on Carotid Intima-Media Thickness in Newly Diagnosed Type 2 Diabetic Patients
    Kwang Youn Kim, Jung Ae Hong, Ha Won Hwang, Sun Ho Lee, Ju Ri Park, Sung Hoon Yu, Jun Goo Kang, Ohk Hyun Ryu, Seong Jin Lee, Eun Gyung Hong, Doo-Man Kim, Jae Myung Yoo, Sung Hee Ihm, Moon Gi Choi, Hyung Joon Yoo, Chul Sik Kim
    Journal of Lipid and Atherosclerosis.2015; 4(1): 7.     CrossRef
  • TNF-α polymorphisms and coronary artery disease: Association study in the Korean population
    Ho-Chan Cho, Gyeongim Yu, Mi-Young Lee, Hye-Soon Kim, Dong-Hoon Shin, Yoon-Nyun Kim
    Cytokine.2013; 62(1): 104.     CrossRef
  • The Effect of Visceral Fat Area and Adipocytokines on Acute Myocardial Infarction: A Case-Control Study in Adult Korean Population
    Kang-Kon Lee, Young-Sung Suh, Keun-Sang Yum
    The Korean Journal of Obesity.2012; 21(1): 57.     CrossRef
  • Impact of Serum Adiponectin Concentration on Progression of Carotid Atherosclerosis in Patients with Type 2 Diabetes Mellitus
    Chul Sik Kim, Ju Ri Park, Sung Hoon Yu, Jun Goo Kang, Ohk Hyun Ryu, Seong Jin Lee, Eun Gyung Hong, Doo-Man Kim, Jae Myung Yoo, Sung Hee Ihm, Moon Gi Choi, Hyung Joon Yoo
    Endocrinology and Metabolism.2012; 27(1): 31.     CrossRef
  • Novel Adipokines
    Kyung Mook Choi
    Journal of Korean Endocrine Society.2008; 23(4): 219.     CrossRef
Original Article
Association between Apolipoprotein E Polymorphism and Type 2 Diabetes in Subjects Aged 65 or Over.
You Jin Lee, Hak Chul Jang, Eun Hye Kim, Hye Jin Kim, Seok Bum Lee, Sung Hee Choi, Soo Lim, Kyoung Un Park, Young Joo Park, Ki Woong Kim
Korean Diabetes J. 2008;32(1):30-37.   Published online February 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.1.30
  • 3,635 View
  • 29 Download
  • 2 Crossref
AbstractAbstract PDF
BACKGROUND
Increased prevalence of diabetes in recent years is linked with increased cardiovascular morbidity and mortality. Apolipoprotein E (apo E) polymorphism is well known to be related to hyperlipidemia and coronary heart disease, but only a few studies investigated the association between apo E polymorphism and diabetes or insulin resistance. In Korea, two studies with relatively small subjects reported controversial results. Therefore, we investigated the association between apo E polymorphism and diabetes in elderly community population. METHODS: 982 elderly people aged 65 or over in Seongnam city were enrolled. We measured anthropometric variables and blood pressure and performed biochemical tests including fasting glucose, fasting insulin, HbA1c, and lipid profiles. Apo E polymorphism was determined by PCR-RFLP method. RESULTS: Frequencies of apo E isoforms and alleles were similar to those of other reports. Subjects with e4 allele had significantly higher total and LDL-cholesterol levels. However, there were no differences in cholesterol levels between normal subjects and diabetes. Diabetes was not related to apo E polymorphism. CONCLUSION: In Korean aged 65 or over, subjects with diabetes didn't have increased total or LDL-cholesterol, triglyceride, and decreased HDL-cholesterol levels. Diabetes and apo E polymorphism were not related.

Citations

Citations to this article as recorded by  
  • Association of APOE genotype with lipid profiles and type 2 diabetes mellitus in a Korean population
    Jung Yeon Seo, Byeong Ju Youn, Hyun Sub Cheong, Hyoung Doo Shin
    Genes & Genomics.2021; 43(7): 725.     CrossRef
  • Sarcopenia, Frailty, and Diabetes in Older Adults
    Hak Chul Jang
    Diabetes & Metabolism Journal.2016; 40(3): 182.     CrossRef
Retraction of Publication
Retraction: Polymorphisms of Kir6.2 Gene are Associated with Type 2 Diabetes and Blood Pressure in the Korean Population.
Bo Kyeong Koo, Hong Il Kim, Eu Jin Lee, Young Min Cho, Hyoung Doo Shin, Hak Chul Jang, Hong Kyu Lee, Kyong Soo Park
Korean Diabetes J. 2007;31(2):185-185.   Published online March 1, 2007
DOI: https://doi.org/10.4093/jkda.2007.31.2.185
  • 2,501 View
  • 24 Download
PDF
Original Articles
Association between Genetic Polymorphisms in Hepatocyte Nuclear Factor 4alpha and Type 2 Diabetes in Koreans.
Eun Jung Lee, Soo Heon Kwak, Sun Wook Jo, Hyung Jin Choi, Hyoung Doo Shin, Min Kyong Moon, Young Min Cho, Hak Chul Jang, Kyong Soo Park, Houng Kyu Lee
Korean Diabetes J. 2006;30(1):10-16.   Published online January 1, 2006
DOI: https://doi.org/10.4093/jkda.2006.30.1.10
  • 3,092 View
  • 23 Download
AbstractAbstract PDF
BACKGROUND
Hepatocyte nuclear factor-4alpha (HNF-4alpha) is a member of transcription factor network which is essential for the development and function of the beta cell. Furthermore mutations in the HNF-4alpha gene have been known to cause maturity-onset diabetes of the young. Therefore we aimed to examine the association between polymorphisms in the HNF-4alpha gene and the risk of type 2 diabetes (T2DM) and its related phenotypes in the Korean population. METHODS: Two single nucleotide polymorphisms (SNPs) in the HNF-4alpha gene, g.4681C>T and HNF-4alpha g.12352C>T (Thr139Ile), were genotyped in unrelated T2DM (n=760) and non-diabetic subjects (n=303). The genetic associations between these SNPs and the risk of T2DM and metabolic phenotypes were analyzed. RESULTS: There was no significant association between genetic polymorphisms in the HNF-4alpha and the risk of T2DM. However HNF-4alpha g.4681C>T increased total cholesterol in the recessive model (P = 0.02) and showed marginal association with fasting plasma glucose (P = 0.049) in the additive model. CONCLUSION: There was no significant association between genetic polymorphisms and the risk of T2DM in the Korean populations. But HNF-4alpha g.4681C>T was associated with higher level of total cholesterol and fasting plasma glucose.
Polymorphisms of Kir6.2 Gene are Associated with Type 2 Diabetes and Blood Pressure in the Korean Population.
Bo Kyeong Koo, Hong Il Kim, Eu Jin Lee, Young Min Cho, Hyoung Doo Shin, Hak Chul Jang, Hong Kyu Lee, Kyong Soo Park
Korean Diabetes J. 2005;29(5):440-450.   Published online September 1, 2005
  • 1,803 View
  • 24 Download
AbstractAbstract PDF
BACKGOUND: ATP-sensitive potassium channels are a heterooctamer of SUR1 and Kir6.2, which are key components in the insulin secretory mechanism. Whether common variants in the Kir6.2 gene are associated with type 2 diabetes and/or its associated phenotypes was investigated. METHODS: The Kir6.2 gene was sequenced in 24Korean DNA samples to identify common polymorphisms (frequency > 0.05). The common variants found among these samples were genotyped in a larger population including type 2 diabetic patients and nondiabetic subjects. RESULTS: Thirteen single nucleotide polymorphisms and one insertion/deletion polymorphism were identified in the Kir6.2 gene, with six common variants(g.-1709A>T, g.-1525T>C, g.67G >A [E23K], g.570C>T [A190A], g.1009A>G [1337V], and g.1388C>T) genotyped in 761 type 2 diabetic patients and 675 nondiabetic subjects. Four individual polymorphisms(g.-1525T > C, g.67G>A, g.1009A>G and g.1388C>T) appeared to be associated with type 2 diabetes (age, sex and BMI-adjusted odds ratio[OR]=0.751[0.584-0.967] in the recessive model on g-1525T>C, 1.193 [1.020-1.394] in the additive model in g.67G>A, 1.195 [1.022-1.399] in the additive model on g.1009A>G, 0.835 [0.717-0.973] in the additive model in g.1388C >T). The haplotype "ATACGC" in the Kir6.2 gene, composed of rare allele in the g.67 and g.1009, was also associated with a higher prevalence of type 2 diabetes (age, sex, and BMI- adjusted OR = 1.256 [1.067-1.479], P for logistic regression = 0.006). In addition g.67G>A and g.1009A >G in the KCNJ11 were strongly associated with a high systolic blood pressure. CONCLUSION: Polymorphisms in the Kir6.2 gene are associated with type 2 diabetes and blood pressure in the Korean population.
Increasing Trends of Metabolic Syndrome in Korea -Based on Korean National Health and Nutrition Examination Surveys-.
Soo Lim, Eun Jung Lee, Bo Kyeong Koo, Sung Il Cho, Kyong Soo Park, Hak Chul Jang, Seong Yeon Kim, Hong Kyu Lee
Korean Diabetes J. 2005;29(5):432-439.   Published online September 1, 2005
  • 2,178 View
  • 35 Download
AbstractAbstract PDF
BACKGOUND: The number of individuals with metabolic syndrome is increasing in Asian as well as in Western countries. The aim of this study was to compare the prevalence and patterns of metabolic syndrome as determined by the 1998 and 2001 Korean National Health and Nutrition Examination Surveys(KNHANES). METHODS: A total of 6,907 and 4,536 Koreans aged over 20 years participated in the KNHANES in 1998 and 2001, respectively. A stratified multistage probability sampling design and weighting adjustments were made to obtain a representative Korean population. The working definition of the National Cholesterol Education Program-Adult Treatment Panel III was used to define metabolic syndrome. The International Obesity Task Force criteria for the Asian-Pacific population were used to determine waist circumference criteria. RESULTS: The age-adjusted prevalence of metabolic syndrome significantly increased from 22.5 to 24.1% between 1998 and 2001(P<0.01). Of the five components composing metabolic syndrome, low HDL-cholesterolemia showed the highest increase(32.6%) over this period, followed by hypertriglyceridemia and abdominal obesity, with 15.9% and 4.3% increases, respectively. In contrast, the number of subjects with high blood pressure or elevated fasting glucose levels were reduced(37.1-->33.1% and 18.9-->15.4%, respectively, both P<0.01). CONCLUSION: Dyslipidemia and abdominal obesity were primarily responsible for the increase in metabolic syndrome in Korea over the period 1998 to 2001. Changes to diet patterns and a reduction in physical activity are likely to have contributed to the rapid increase in metabolic syndrome in Korea; therefore, national strategies will be needed to counteract this increase.
Pregnancy Outcome in Korean Women with Gestational Diabetes Mellitus Diagnosed by the Carpenter-Coustan Criteria.
Hak Chul Jang, Young Min Cho, Kyong Soo Park, Seong Yeon Kim, Hong Kyu Lee, Moon Young Kim, Jae Hyug Yang, Son Moon Shin
Korean Diabetes J. 2004;28(2):122-130.   Published online April 1, 2004
  • 1,957 View
  • 35 Download
AbstractAbstract PDF
BACKGROUND
The American Diabetes Association recently proposed the Carpenter-Coustan criteria for the diagnosis of gestational diabetes mellitus(GDM) based on the results of the Toronto Tri-Hospital Study. The prevalence of GDM in Korean women increased, on average, by 60% when the Carpenter-Coustan criteria were applied. However, the pregnancy outcome of Korean women with GDM with regard to the Carpenter-Coustan criteria tremains to be reported. The pregnancy outcomes of those Korean women with GDM by the Carpenter- Coustan criteria, but not by the NDDG criteria were assessed. METHODS: In this study, a total of 2776 pregnant women underwent universal screening for GDM, between January 1993 and December 1994, as recommended by the Third International Workshop-Conference on Gestational Diabetes Mellitus with minor modifications. The primary pregnancy outcomes were preeclampsia, premature delivery, delivery by C-section, birth weight and LGA infants. RESULTS: Of the 2776 women, 656 screened-positive for GDM. Of these, 37 and 74 had GDM by the Carpenter-Coustan and NDDG criteria, respectively. With increasing glucose intolerance, there was a stepwise increase in premature deliveries, deliveries by C-section and preeclampsia from those screening negative to GDM by the NDDG criteria, with a similar trend for the frequency of LGA infants. The LGA infant screening-negative and positive were 13.5 and 16.1%, but those with a normal glucose tolerance were 27.0 and 33.8% in those screening positive to GDM by the Carpenter-Coustan and NDDG criteria, respectively(P<0.001). CONCLUSION: Our study demonstrated that increasing glucose tolerance was associated with increasing frequencies of adverse pregnancy outcomes in Korean women. The maternally complicated and LGA infants were significantly higher in women with GDM by the Carpenter-Coustan criteria. Thus the Carpenter- Coustan criteria are recommended for the diagnosis of GDM in Korean Women.
Common Genetic Polymorphisms in the Promoter of Resistin Gene are Major Determinants of Plasma Resistin Concentrations in Humans.
Young Min Cho, Byung Soo Youn, Sung Soo Chung, Ki Woo Kim, Bo Kyeong Koo, Kang Yeol Yu, Hong Je Park, Hyoung Doo Shin, Hak Chul Jang, Kyong Soo Park, Seong Yeon Kim, Hong Kyu Lee
Korean Diabetes J. 2004;28(1):9-19.   Published online February 1, 2004
  • 1,767 View
  • 24 Download
AbstractAbstract PDF
BACKGROUND
Resistin has been postulated to be an important link between obesity and insulin resistance. Genetic polymorphisms in the resistin gene promotor have been suggested as a determinant of the expression of resistin mRNA, which is possibly associated with obesity and insulin resistance. In this study, the association between the genotype of the resistin promoter, and its plasma concentrations, were investigated. METHODS: The g.-537A>C and g.-420C>G polymorphisms in the resistin promoter were examined, and the levels of plasma resistin measured in the Korean subjects, both with and without type 2 diabetes. Haplotype-based promoter activity and the gel electrophoretic mobility-shift assays(EMSA) were also performed. RESULTS: The -420G and the -537A alleles, which were in linkage disequilibrium, were associated with higher plasma resistin concentrations. Individuals with the A-G(-537 A and -420G) haplotypes showed significantly higher plasma resistin levels than those that did not. The haplotypes A-G had modestly increased promoter activities compared to the other haplotypes. The EMSA revealed the -420 G allele to be specific for binding of the nuclear proteins from adipocytes and monocytes. However, neither polymorphism was associated with type 2 diabetes or obesity in our study subjects. CONCLUSION: Polymorphisms in the promoter of the resistin gene are major determinants of plasma resistin concentrations in humans
Editorial
Insulin Secretion and Insulin Sensitivity in Women with a Previous Gestational Diabetes: Understanding of Pathogenesis of Type 2 Diabetes.
Hak Chul Jang
Korean Diabetes J. 2002;26(5):314-318.   Published online October 1, 2002
  • 1,250 View
  • 21 Download
AbstractAbstract PDF
No abstract available.
Review
Diagnostic Criteria for Gestational Diabetes in Korean Women: Is New ADA Criteria Appropriate?.
Hak Chul Jang
Korean Diabetes J. 2002;26(4):221-228.   Published online August 1, 2002
  • 1,225 View
  • 19 Download
AbstractAbstract PDF
No abstract available.
Editorial
Intrauterine Environment and Adult Disease.
Hak Chul Jang
Korean Diabetes J. 2001;25(3):184-189.   Published online June 1, 2001
  • 1,152 View
  • 18 Download
AbstractAbstract PDF
No abstract available.
Original Articles
Effect of Self-monitoring of Blood Glucose on Pregnancy Outcome in Women with Mild Gestational Diabetes.
Hak Chul Jang, Jeong Eun Park, Chang Hoon Yim, Ho Yeun Chung, Ki Ok Han, Hyun Koo Yoon, In Kwon Han, Moon Young Kim, Jae Hyug Yang, Mi Jung Kim, Sun Young Ko, Yeon Kyung Lee
Korean Diabetes J. 2001;25(1):93-102.   Published online February 1, 2001
  • 2,366 View
  • 46 Download
AbstractAbstract PDF
BACKGROUND
Self-monitoring of blood glucose (SMBG) and intensive therapy with insulin demonstrated to have a positive effects in the reduction of the neonatal complications in women with gestational diabetes (GDM). However the utility of SMBG in the mild GDM who does not requiring insulin has not been formally reported. Therefore, to evaluate the effectiveness of SMBG in the management of mild GDM, we compared the pregnancy outcome and the postpartum glucose tolerance of women who monitored their glycemic control by SMBG to those of women who monitored by laboratory glucose test at each office visit during pregnancy. METHODS: We studied 185 women diagnosed as a GDM by NDDG criteria and their fasting glucose concentration < 5.8 mM. All subjects had singleton pregnancy,and no medical diseases that may affect fetal growth, and were certain of gestational age by early ultrasonography. They were treated with an identical GDM management protocol except glucose monitoring. One hundred five women were monitored by laboratory glucose test at each office visit (office group) and 80 women were monitored by SMBG (SMBG group). Pregnancy outcome including rates of cesarian section, obstetric complication, LGA infant and glucose tolerance status at postpartum were compared between two groups. RESULTS: The age, height, prepregnancy weight, weight at delivery and parity were not significantly different between the two groups. Fasting, 1-h, 2-h glucose concentration during the diagnostic test of GDM in SMBG group were similar to those of office group. However, 3-h glucose concentration of office group was 0.3 mM higher than that of SMBG group. The rate of primary cesarian section, preterm labor and pregnancy-induced hypertension of SMBG group were similar to those of office group. The mean postprandial 2-h glucose concentration of office group measured at each office was 0.5 mM higher than that of SMBG group. Although 5% of office group were treated with insulin, 24% of SMBG group were requiring insulin therapy. The birth weight and LGA infant rate of office group were 3403 432 g and 28%, those were heavier and higher than those of SMBG group (3169 447 g, 13.8%). The 90% of office group and 84% of SMBG group were performed 75 g oral glucose tolerance test at postpartum 6-8 weeks. There was no significant difference in rates of diabetes and IGT between office and SMBG group (9.5%, 11.6%; 7.5%, 9.0% respectively). CONCLUSIONS: This study demonstrated that SMBG is very seful in early detection of maternal hyperglycemia and lowing the postprandial glucose, as well as reducing the rate of LGA infants in women with mild GDM.
Chronary Heart Disease and Homecysteine metabolism.
Hak Chul Jang
Korean Diabetes J. 1999;23(5):621-624.   Published online January 1, 2001
  • 1,375 View
  • 18 Download
AbstractAbstract PDF
No abstract available.
Clinical Characteristics and Pregnancy Outcome in Korean Women with Type I & Type II Diabetes Mellitus.
Yoon Huh, Dong Won Suh, Hak Chul Jang, Chang Hoon Yim, Ki Ok Han, Hyun Ku Yoon, In Kwon Han, Hun Ki Min, Eun Sung Kim, Moon Young Kim, Hyun Mi Ryu, Sung Won Yang, Hae Kyoung Han
Korean Diabetes J. 1998;22(3):353-362.   Published online January 1, 2001
  • 2,282 View
  • 21 Download
AbstractAbstract PDF
BACKGROUND
The prevalence of diabetes is gradually increasing iin Korean. Moreover, the prevalence of pregnancy complicated by established diabetes seems to be increasing. During the past decades, advances in the diabetes care as well as advances in fetal surveillance and neonatal care, have continued to improve pregnancy outcome of women with diabetes. However, the incidence of congenital anomalies and spontaneous abortion as well as the perinatal morbidity in the women with diabetes are still higher compared to those of the general population. In this study, we estimated the prevalence of prepmncy complicated by both type 1 and type 2 diabetes and described the clinical characteristics and outcome of diabetic pregnancies. METHODS: We analyzed data from four sources: 1) the mother(type and duration of diabetes, diabetic complication, preconceptional care), 2) obstetric outcome(method of delivery, obstetric complication), 3) neonatal outcome(birth weight, perinatal complication, congenital anomaly), 4) glycemic control during pregnancy, of women with pregestational diabetes delivered newborns at Samsung Cheil Hospital from 1992 to 1995. RESULTS: During the study period, 34 singleton infants were delivered by the 28 women with diabetes. The diabetic pregnancy was present in 0.14% of total deliveries in Samsung Cheil Hospital. Patients with IDDM comprised 18%(6/34) of total diabetic pregnancies, 82%(28/34) had NIDDM. The duration of diabetes was 6.3 and 2.1 years in patients with IDDM and NIDDM, respectively. Two IDDM patients presented with proliferative retinopathy, and 3 background retinopathy, one in IDDM and 2 in NIDDM. Three patients with IDDM and 2 patients with NIDDM had diabetic nephropathy. Insulin requirement during pregnancy was increased about 2 times at the time of delivery when compared to the initial in women with IDDM and NIDDM. Preeclampsia was the most common obstetric compliications, which were more frequently observed in women with diabetic complications. LGA was present in 43% of women with NIDDM. One infant of mother with NIDDM, delivered at 28 weeks gestation, was died because of respiratory distress and one infant of mother with IDDM had a congenital heart disease(TOF). Only 3 patients scught for the preconceptional care before pregnancy. CONCLUSION: Pregnancies complicated by diabetes was more frequent than was expected, even though it was much less than the rates in North America. Only 9% of women with diabetes had preconceptional care before pregnancy. The importance of planned pregnancy and prepregnancy counseling should be addressed in women with diabetes of child bearing age.
Increased membrane lipid peroxidation of erythrocytes in NIDDM.
Hak Chul Jang, Young Ki Min, In Kwon Han, Hong Kyu Lee, Hun Ki Min
Korean Diabetes J. 1992;16(4):309-316.   Published online January 1, 2001
  • 1,284 View
  • 18 Download
AbstractAbstract PDF
No abstract available.

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP