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62 "Sei Hyun Baik"
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Pathophysiology
Attention to Innate Circadian Rhythm and the Impact of Its Disruption on Diabetes
Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Nan Hee Kim
Diabetes Metab J. 2024;48(1):37-52.   Published online January 3, 2024
DOI: https://doi.org/10.4093/dmj.2023.0193
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AbstractAbstract PDFPubReader   ePub   
Novel strategies are required to reduce the risk of developing diabetes and/or clinical outcomes and complications of diabetes. In this regard, the role of the circadian system may be a potential candidate for the prevention of diabetes. We reviewed evidence from animal, clinical, and epidemiological studies linking the circadian system to various aspects of the pathophysiology and clinical outcomes of diabetes. The circadian clock governs genetic, metabolic, hormonal, and behavioral signals in anticipation of cyclic 24-hour events through interactions between a “central clock” in the suprachiasmatic nucleus and “peripheral clocks” in the whole body. Currently, circadian rhythmicity in humans can be subjectively or objectively assessed by measuring melatonin and glucocorticoid levels, core body temperature, peripheral blood, oral mucosa, hair follicles, rest-activity cycles, sleep diaries, and circadian chronotypes. In this review, we summarized various circadian misalignments, such as altered light-dark, sleep-wake, rest-activity, fasting-feeding, shift work, evening chronotype, and social jetlag, as well as mutations in clock genes that could contribute to the development of diabetes and poor glycemic status in patients with diabetes. Targeting critical components of the circadian system could deliver potential candidates for the treatment and prevention of type 2 diabetes mellitus in the future.
Original Articles
Technology/Device
Clinical and Lifestyle Determinants of Continuous Glucose Monitoring Metrics in Insulin-Treated Patients with Type 2 Diabetes Mellitus
Da Young Lee, Namho Kim, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Jihee Kim, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Sung-Min Park, Nan Hee Kim
Diabetes Metab J. 2023;47(6):826-836.   Published online August 24, 2023
DOI: https://doi.org/10.4093/dmj.2022.0273
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  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
There was limited evidence to evaluate the association between lifestyle habits and continuous glucose monitoring (CGM) metrics. Thus, we aimed to depict the behavioral and metabolic determinants of CGM metrics in insulin-treated patients with type 2 diabetes mellitus (T2DM).
Methods
This is a prospective observational study. We analyzed data from 122 insulin-treated patients with T2DM. Participants wore Dexcom G6 and Fitbit, and diet information was identified for 10 days. Multivariate-adjusted logistic regression analysis was performed for the simultaneous achievement of CGM-based targets, defined by the percentage of time in terms of hyper, hypoglycemia and glycemic variability (GV). Intake of macronutrients and fiber, step counts, sleep, postprandial C-peptide-to-glucose ratio (PCGR), information about glucose lowering medications and metabolic factors were added to the analyses. Additionally, we evaluated the impact of the distribution of energy and macronutrient during a day, and snack consumption on CGM metrics.
Results
Logistic regression analysis revealed that female, participants with high PCGR, low glycosylated hemoglobin (HbA1c) and daytime step count had a higher probability of achieving all targets based on CGM (odds ratios [95% confidence intervals] which were 0.24 [0.09 to 0.65], 1.34 [1.03 to 1.25], 0.95 [0.9 to 0.99], and 1.15 [1.03 to 1.29], respectively). And participants who ate snacks showed a shorter period of hyperglycemia and less GV compared to those without.
Conclusion
We confirmed that residual insulin secretion, daytime step count, HbA1c, and women were the most relevant determinants of adequate glycemic control in insulin-treated patients with T2DM. In addition, individuals with snack consumption were exposed to lower times of hyperglycemia and GV.

Citations

Citations to this article as recorded by  
  • Explanatory variables of objectively measured 24-h movement behaviors in people with prediabetes and type 2 diabetes: A systematic review
    Lotte Bogaert, Iris Willems, Patrick Calders, Eveline Dirinck, Manon Kinaupenne, Marga Decraene, Bruno Lapauw, Boyd Strumane, Margot Van Daele, Vera Verbestel, Marieke De Craemer
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2024; 18(4): 102995.     CrossRef
Others
Fasting Glucose Variability and the Risk of Dementia in Individuals with Diabetes: A Nationwide Cohort Study
Da Young Lee, Jaeyoung Kim, Sanghyun Park, So Young Park, Ji Hee Yu, Ji A Seo, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Kyungdo Han, Nan Hee Kim
Diabetes Metab J. 2022;46(6):923-935.   Published online May 24, 2022
DOI: https://doi.org/10.4093/dmj.2021.0346
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  • 6 Web of Science
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We investigated whether fasting glucose (FG) variability could predict the risk of dementia.
Methods
This cohort study analyzed data from Koreans with diabetes after at least three health examinations by the Korean National Health Insurance Corporation between 2005 and 2010, which included at least one examination between 2009 and 2010. A total of 769,554 individuals were included, excluding those aged <40 years and those with dementia. FG variability was measured using the variability independent of the mean (FG-VIM). The incidence of dementia was defined by the International Classification of Diseases 10th Revision codes and prescription of anti-dementia medication and was subdivided into Alzheimer’s disease (AD) and vascular dementia (VD).
Results
During the 6.9-year follow-up, 54,837, 41,032, and 6,892 cases of all-cause dementia, AD, and VD, respectively, were identified. Cox proportional regression analyses showed that as the FG-VIM quartile increased, the risk of dementia serially increased after adjustment for metabolic factors, income status, and diabetes-related characteristics, including the mean FG. Participants in FG-VIM quartile 4 showed a 18%, 19%, and 17% higher risk for all-cause dementia, AD, and VD, respectively, than those in quartile 1; this particularly included non-obese patients with a longer duration of diabetes, high FG levels, dyslipidemia, and those taking glucose-lowering medications. Conversely, the baseline FG status and dementia showed a U-shaped association.
Conclusion
Increased FG variability over 5 years can predict the risk of dementia in individuals with diabetes in Korea. This finding was more pronounced in patients with less favorable metabolic profiles.

Citations

Citations to this article as recorded by  
  • Fasting glucose variability and risk of dementia in Parkinson’s disease: a 9-year longitudinal follow-up study of a nationwide cohort
    Sung Hoon Kang, Yunjin Choi, Su Jin Chung, Seok-Joo Moon, Chi Kyung Kim, Ji Hyun Kim, Kyungmi Oh, Joon Shik Yoon, Sang Won Seo, Geum Joon Cho, Seong-Beom Koh
    Frontiers in Aging Neuroscience.2024;[Epub]     CrossRef
  • Effects of a Diabetic Microenvironment on Neurodegeneration: Special Focus on Neurological Cells
    Vishal Chavda, Dhananjay Yadav, Snehal Patel, Minseok Song
    Brain Sciences.2024; 14(3): 284.     CrossRef
  • The Association of Glucose Variability and Dementia Incidence in Latinx Adults with Type 2 Diabetes: A Retrospective Study
    Heather Cuevas, Elizabeth Muñoz, Divya Nagireddy, Jeeyeon Kim, Grace Ganucheau, Fathia Alomoush
    Clinical Nursing Research.2023; 32(2): 249.     CrossRef
  • The effects of long-term cumulative HbA1c exposure on the development and onset time of dementia in the patients with type 2 diabetes mellitus: Hospital based retrospective study (2005–2021)
    Sunyoung Cho, Choon Ok Kim, Bong-soo Cha, Eosu Kim, Chung Mo Nam, Min-Gul Kim, Min Soo Park
    Diabetes Research and Clinical Practice.2023; 201: 110721.     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
  • Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
    Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee
    Scientific Reports.2023;[Epub]     CrossRef
Short Communication
Technology/Device
Comparison of Laser and Conventional Lancing Devices for Blood Glucose Measurement Conformance and Patient Satisfaction in Diabetes Mellitus
Jung A Kim, Min Jeong Park, Eyun Song, Eun Roh, So Young Park, Da Young Lee, Jaeyoung Kim, Ji Hee Yu, Ji A Seo, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo, Nan Hee Kim
Diabetes Metab J. 2022;46(6):936-940.   Published online March 30, 2022
DOI: https://doi.org/10.4093/dmj.2021.0293
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  • 1 Web of Science
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AbstractAbstract PDFPubReader   ePub   
Self-monitoring of capillary blood glucose is important for controlling diabetes. Recently, a laser lancing device (LMT-1000) that can collect capillary blood without skin puncture was developed. We enrolled 150 patients with type 1 or 2 diabetes mellitus. Blood sampling was performed on the same finger on each hand using the LMT-1000 or a conventional lancet. The primary outcome was correlation between glucose values using the LMT-1000 and that using a lancet. And we compared the pain and satisfaction of the procedures. The capillary blood sampling success rates with the LMT-1000 and lancet were 99.3% and 100%, respectively. There was a positive correlation (r=0.974, P<0.001) between mean blood glucose levels in the LMT-1000 (175.8±63.0 mg/dL) and conventional lancet samples (172.5±63.6 mg/dL). LMT-1000 reduced puncture pain by 75.0% and increased satisfaction by 80.0% compared to a lancet. We demonstrated considerable consistency in blood glucose measurements between samples from the LMT-1000 and a lancet, but improved satisfaction and clinically significant pain reduction were observed with the LMT-1000 compared to those with a lancet.

Citations

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  • Comparison between a laser-lancing device and automatic incision lancet for capillary blood sampling from the heel of newborn infants: a randomized feasibility trial
    Chul Kyu Yun, Eui Kyung Choi, Hyung Jin Kim, Jaeyoung Kim, Byung Cheol Park, Kyuhee Park, Byung Min Choi
    Journal of Perinatology.2024;[Epub]     CrossRef
Original Article
Cardiovascular Risk/Epidemiology
Myocardial Infarction, Stroke, and All-Cause Mortality according to Low-Density Lipoprotein Cholesterol Level in the Elderly, a Nationwide Study
You-Bin Lee, Minji Koo, Eunjin Noh, Soon Young Hwang, Jung A Kim, Eun Roh, So-hyeon Hong, Kyung Mook Choi, Sei Hyun Baik, Geum Joon Cho, Hye Jin Yoo
Diabetes Metab J. 2022;46(5):722-732.   Published online March 8, 2022
DOI: https://doi.org/10.4093/dmj.2021.0225
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  • 6 Web of Science
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We assessed the myocardial infarction (MI), stroke, and all-cause death risks during follow-up according to the low-density lipoprotein cholesterol (LDL-C) levels among older adults.
Methods
The Korean National Health Insurance Service datasets (2002 to 2020) were used for this population-based cohort study. The hazards of MI, stroke, and all-cause mortality during follow-up were analyzed according to LDL-C level in individuals aged ≥65 years without baseline cardiovascular diseases (n=1,391,616).
Results
During a mean 7.55 years, 52,753 MIs developed; 84,224 strokes occurred over a mean 7.47 years. After a mean 8.50 years, 233,963 died. A decrease in LDL-C was associated with lower hazards of MI and stroke. The decreased hazard of stroke in lower LDL-C was more pronounced in statin users, and individuals with diabetes or obesity. The hazard of all-cause death during follow-up showed an inverted J-shaped pattern according to the LDL-C levels. However, the paradoxically increased hazard of mortality during follow-up in lower LDL-C was attenuated in statin users and individuals with diabetes, hypertension, or obesity. In statin users, lower LDL-C was associated with a decreased hazard of mortality during follow-up.
Conclusion
Among the elderly, lower LDL-C was associated with decreased risks of MI and stroke. Lower LDL-C achieved by statins in the elderly was associated with a decreased risk of all-cause death during follow-up, suggesting that LDL-C paradox for the premature death risk in the elderly should not be applied to statin users. Intensive statin therapy should not be hesitated for older adults with cardiovascular risk factors including diabetes.

Citations

Citations to this article as recorded by  
  • Combination of low- or moderate-intensity statin and ezetimibe vs. high-intensity statin monotherapy on primary prevention of cardiovascular disease and all-cause death: a propensity-matched nationwide cohort study
    Ji Eun Jun, In-Kyung Jeong, Kyu Jeong Ahn, Ho Yeon Chung, You-Cheol Hwang
    European Journal of Preventive Cardiology.2024;[Epub]     CrossRef
  • Associations of Low-density Lipoprotein Cholesterol With All-cause and Cause-specific Mortality in Older Adults in China
    Wenqing Ni, Yuebin Lv, Xueli Yuan, Yan Zhang, Hongmin Zhang, Yijing Zheng, Xiaoming Shi, Jian Xu
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • The relationship of low-density lipoprotein cholesterol and all-cause or cardiovascular mortality in patients with type 2 diabetes: a retrospective study
    Chin-Huan Chang, Shu-Tin Yeh, Seng-Wei Ooi, Chung-Yi Li, Hua-Fen Chen
    PeerJ.2023; 11: e14609.     CrossRef
  • ERCC1 polymorphism and its expression associated with ischemic stroke in Chinese population
    Xiao-Dong Deng, Jian-Lin Ke, Tai-Yu Chen, Qin Gao, Zhuo-Lin Zhao, Wei Zhang, Huan Liu, Ming-Liang Xiang, Li-Zhen Wang, Ying Ma, Yun Liu
    Frontiers in Neurology.2023;[Epub]     CrossRef
  • New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins
    Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi
    Diabetes & Metabolism Journal.2022; 46(4): 517.     CrossRef
  • Association between the Diabetes Drug Cost and Cardiovascular Events and Death in Korea: A National Health Insurance Service Database Analysis
    Seung Min Chung, Ji-In Lee, Eugene Han, Hyun-Ae Seo, Eonju Jeon, Hye Soon Kim, Ji Sung Yoon
    Endocrinology and Metabolism.2022; 37(5): 759.     CrossRef
Short Communication
Basic Research
GPR40 Agonism Modulates Inflammatory Reactions in Vascular Endothelial Cells
Joo Won Kim, Eun Roh, Kyung Mook Choi, Hye Jin Yoo, Hwan-Jin Hwang, Sei Hyun Baik
Diabetes Metab J. 2022;46(3):506-511.   Published online January 24, 2022
DOI: https://doi.org/10.4093/dmj.2021.0092
  • 4,644 View
  • 228 Download
  • 8 Web of Science
  • 7 Crossref
AbstractAbstract PDFPubReader   ePub   
Endothelial dysfunction is strongly linked with inflammatory responses, which can impact cardiovascular disease. Recently, G protein-coupled receptor 40 (GPR40) has been investigated as a modulator of metabolic stress; however, the function of GPR40 in vascular endothelial cells has not been reported. We analyzed whether treatment of GPR40-specific agonists modulated the inflammatory responses in human umbilical vein endothelial cells (HUVECs). Treatment with LY2922470, a GPR40 agonist, significantly reduced lipopolysaccharide (LPS)-mediated nuclear factor-kappa B (NF-κB) phosphorylation and movement into the nucleus from the cytosol. However, treatment with another GPR40 agonist, TAK875, did not inhibit LPS-induced NF-κB activation. LPS treatment induced expression of adhesion molecules vascular cell adhesion molecule-1 (VCAM-1) and intercellular adhesion molecule-1 (ICAM-1) and attachment of THP-1 cells to HUVECs, which were all decreased by LY2922470 but not TAK875. Our results showed that ligand-dependent agonism of GPR40 is a promising therapeutic target for overcoming inflammatory reactions in the endothelium.

Citations

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  • Synthetic GPR40/FFAR1 agonists: An exhaustive survey on the most recent chemical classes and their structure-activity relationships
    Abhik Paul, Sourin Nahar, Pankaj Nahata, Arnab Sarkar, Avik Maji, Ajeya Samanta, Sanmoy Karmakar, Tapan Kumar Maity
    European Journal of Medicinal Chemistry.2024; 264: 115990.     CrossRef
  • Metabolite-sensing GPCRs in rheumatoid arthritis
    Xuezhi Yang, Wankang Zhang, Luping Wang, Yingjie Zhao, Wei Wei
    Trends in Pharmacological Sciences.2024; 45(2): 118.     CrossRef
  • GPR40 deficiency worsens metabolic syndrome‐associated periodontitis in mice
    Yanchun Li, Zhongyang Lu, Cameron L. Kirkwood, Keith L. Kirkwood, Stephen A. Wank, Ai‐Jun Li, Maria F. Lopes‐Virella, Yan Huang
    Journal of Periodontal Research.2023; 58(3): 575.     CrossRef
  • Signaling pathways and intervention for therapy of type 2 diabetes mellitus
    Rong Cao, Huimin Tian, Yu Zhang, Geng Liu, Haixia Xu, Guocheng Rao, Yan Tian, Xianghui Fu
    MedComm.2023;[Epub]     CrossRef
  • G Protein-Coupled Receptor 40 Agonist LY2922470 Alleviates Ischemic-Stroke-Induced Acute Brain Injury and Functional Alterations in Mice
    Yingyu Lu, Wanlu Zhou, Qinghua Cui, Chunmei Cui
    International Journal of Molecular Sciences.2023; 24(15): 12244.     CrossRef
  • AM1638, a GPR40-Full Agonist, Inhibited Palmitate- Induced ROS Production and Endoplasmic Reticulum Stress, Enhancing HUVEC Viability in an NRF2-Dependent Manner
    Hwan-Jin Hwang, Joo Won Kim, SukHwan Yun, Min Jeong Park, Eyun Song, Sooyeon Jang, Ahreum Jang, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
    Endocrinology and Metabolism.2023; 38(6): 760.     CrossRef
  • Learn from failures and stay hopeful to GPR40, a GPCR target with robust efficacy, for therapy of metabolic disorders
    Hong-Ping Guan, Yusheng Xiong
    Frontiers in Pharmacology.2022;[Epub]     CrossRef
Response
Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
Diabetes Metab J. 2021;45(4):617-618.   Published online July 30, 2021
DOI: https://doi.org/10.4093/dmj.2021.0152
  • 3,793 View
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  • 2 Crossref
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Citations

Citations to this article as recorded by  
  • The effect of close and intensive therapeutic monitoring of patients with poorly controlled type 2 diabetes with different glycemic background
    Ayşe Naciye Erbakan, Müzeyyen Arslan Bahadir, Fatoş Nimet Kaya, Büşra Güleç, Miraç Vural Keskinler, Özge Faydaliel, Banu Mesçi, Aytekin Oğuz
    Medicine.2023; 102(50): e36680.     CrossRef
  • Reduced macula microvascular densities may be an early indicator for diabetic peripheral neuropathy
    Xiaoyu Deng, Shiqi Wang, Yan Yang, Aizhen Chen, Jinger Lu, Jinkui Hao, Yufei Wu, Qinkang Lu
    Frontiers in Cell and Developmental Biology.2022;[Epub]     CrossRef
Original Article
Complications
Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study
Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
Diabetes Metab J. 2021;45(3):368-378.   Published online October 20, 2020
DOI: https://doi.org/10.4093/dmj.2020.0046
  • 9,294 View
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  • 17 Web of Science
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Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To evaluate the association of time to reach the target glycosylated hemoglobin (HbA1c) level with long-term durable glycemic control and risk of diabetic complications in patients with newly diagnosed type 2 diabetes mellitus (T2DM).
Methods
In a longitudinal observational cohort, 194 patients with T2DM newly diagnosed between January 2011 and March 2013 were followed up over 6 years. Patients were classified according to the time needed to reach the target HbA1c (<7.0%): <3, 3 to 6 (early achievement group), and ≥6 months (late achievement group). Risks of microvascular complications including diabetic retinopathy, nephropathy, and neuropathy as well as macrovascular events including ischemic heart disease, ischemic stroke, and peripheral arterial disease were assessed by multivariable Cox proportional hazards analysis.
Results
During a median follow-up of 6.53 years, 66 microvascular and 14 macrovascular events occurred. Maintenance of durable glycemic control over 6 years was more likely in the early achievement groups than in the late achievement group (34.5%, 30.0%, and 16.1% in <3, 3 to 6, and ≥6 months, respectively, P=0.039). Early target HbA1c achievement was associated with lower risk of composite diabetic complications (adjusted hazard ratio [HR, 0.47; 95% confidence interval [CI], 0.26 to 0.86 in <3 months group) (adjusted HR, 0.50; 95% CI, 0.23 to 1.10 in 3 to 6 months group, in reference to ≥6 months group). Similar trends were maintained for risks of microvascular and macrovascular complications, although statistical significance was not reached for macrovascular complications.
Conclusion
Early target HbA1c achievement was associated with long-term durable glycemic control and reduced risk of diabetic complications in newly diagnosed T2DM.

Citations

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  • HbA1c As Diabetes Mellitus Biomarker and Its Methods Evolution
    Liong Boy Kurniawan
    INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY.2024; 30(2): 191.     CrossRef
  • Efficacy and safety of enavogliflozin vs. dapagliflozin as add-on therapy in patients with type 2 diabetes mellitus based on renal function: a pooled analysis of two randomized controlled trials
    Young Sang Lyu, Sangmo Hong, Si Eun Lee, Bo Young Cho, Cheol-Young Park
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • The effect of health quotient and time management skills on self-management behavior and glycemic control among individuals with type 2 diabetes mellitus
    Mengjie Chen, Man Liu, Ying Pu, Juan Wu, Mingjiao Zhang, Hongxia Tang, Laixi Kong, Maoting Guo, Kexue Zhu, Yuxiu Xie, Zhe Li, Bei Deng, Zhenzhen Xiong
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Glycemic control and cardiovascular complications of type 2 diabetes mellitus
    I. V. Druk, S. S. Safronova
    Meditsinskiy sovet = Medical Council.2023; (13): 130.     CrossRef
  • Effect of viscous soluble dietary fiber on glucose and lipid metabolism in patients with type 2 diabetes mellitus: a systematic review and meta-analysis on randomized clinical trials
    Kun Lu, Tingqing Yu, Xinyi Cao, Hui Xia, Shaokang Wang, Guiju Sun, Liang Chen, Wang Liao
    Frontiers in Nutrition.2023;[Epub]     CrossRef
  • Construction and validation of a clinical prediction model for asymptomatic obstructive coronary stenosis in patients with carotid stenosis
    Cuijie Qin, Chuang Li, Yunpeng Luo, Zhen Li, Hui Cao
    Frontiers in Cardiovascular Medicine.2023;[Epub]     CrossRef
  • Risk assessment of rectal anastomotic leakage (RAREAL) after DIXON in non-emergency patients with rectal cancer
    Xue-Cong Zheng, Jin-Bo Su, Jin-Jie Zheng
    BMC Gastroenterology.2023;[Epub]     CrossRef
  • Evaluation of Left Ventricular Function in Diabetes Patients with Microvascular Disease by Three-Dimensional Speckle Tracking Imaging
    青 周
    Advances in Clinical Medicine.2023; 13(12): 18908.     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
  • Metformin plus a low hypoglycemic risk antidiabetic drug vs. metformin monotherapy for untreated type 2 diabetes mellitus: A meta-analysis of randomized controlled trials
    Wei-Tse Hung, Yuan-Jung Chen, Chun-Yu Cheng, Bruce Ovbiagele, Meng Lee, Chia-Yu Hsu
    Diabetes Research and Clinical Practice.2022; 189: 109937.     CrossRef
  • Peripheral arterial disease progression and ankle brachial index: a cohort study with newly diagnosed patients with type 2 diabetes
    João Soares Felício, Franciane Trindade Cunha de Melo, Giovana Miranda Vieira, Vitória Teixeira de Aquino, Fernanda de Souza Parente, Wanderson Maia da Silva, Nivin Mazen Said, Emanuele Rocha da Silva, Ana Carolina Contente Braga de Souza, Maria Clara Ner
    BMC Cardiovascular Disorders.2022;[Epub]     CrossRef
  • Association of long-term visit-to-visit variability of HbA1c and fasting glycemia with hypoglycemia in type 2 diabetes mellitus
    Chen Long, Yaling Tang, Jiangsheng Huang, Suo Liu, Zhenhua Xing
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • The Degree of Glycemic Control for the First Three Months Determines the Next Seven Years
    Nami Lee, Dae Jung Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Inhibition of advanced glycation end products and protein oxidation by leaf extracts and phenolics from Chilean bean landraces
    Felipe Ávila, Nadia Cruz, Jazmin Alarcon-Espósito, Nélida Nina, Hernán Paillan, Katherine Márquez, Denis Fuentealba, Alberto Burgos-Edwards, Cristina Theoduloz, Carmina Vejar-Vivar, Guillermo Schmeda-Hirschmann
    Journal of Functional Foods.2022; 98: 105270.     CrossRef
  • Mediation Effect of Self-Efficacy Between Health Beliefs and Glycated Haemoglobin Levels in Elderly Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study
    Anqi Zhang, Jinsong Wang, Xiaojuan Wan, Jing Zhang, Zihe Guo, Yamin Miao, Shuhan Zhao, Shuo Bai, Ziyi Zhang, Weiwei Yang
    Patient Preference and Adherence.2022; Volume 16: 3015.     CrossRef
  • Early Glycosylated Hemoglobin Target Achievement Predicts Clinical Outcomes in Patients with Newly Diagnosed Type 2 Diabetes Mellitus
    Joonyub Lee, Jae Hyoung Cho
    Diabetes & Metabolism Journal.2021; 45(3): 337.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Ja Young Jeon
    Diabetes & Metabolism Journal.2021; 45(4): 613.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2021; 45(4): 617.     CrossRef
  • Plasma Nesfatin-1: Potential Predictor and Diagnostic Biomarker for Cognitive Dysfunction in T2DM Patient
    Dandan Xu, Yue Yu, Yayun Xu, Jinfang Ge
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 3555.     CrossRef
Brief Report
Drug/Regimen
A Multicentre, Multinational, Open-Label, 52-Week Extension Study of Gemigliptin (LC15-0444) Monotherapy in Patients with Type 2 Diabetes Mellitus
Sae Jeong Yang, Kyung Wan Min, Sandeep Kumar Gupta, Joong Yeol Park, Vyankatesh K.Shivane, Pankaj Kumar Agarwal, Doo Man Kim, Yong Seung Kim, Sei Hyun Baik
Diabetes Metab J. 2021;45(4):606-612.   Published online September 9, 2020
DOI: https://doi.org/10.4093/dmj.2020.0047
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AbstractAbstract PDFPubReader   ePub   
The purpose of this extension study was to assess the long-term efficacy and safety of gemigliptin 50 mg in patients with type 2 diabetes mellitus (T2DM). Patients with T2DM who had completed the initial 24-week study comparing gemigliptin monotherapy with placebo were eligible to enrol. In the open-label, 28-week extension study, all enrolled patients received gemigliptin, regardless of the treatment received during the initial 24-week study period. The mean reduction±standard deviation (SD) in glycosylated hemoglobin (HbA1c) observed after 24 weeks of treatment (–0.6%±1.1%) was further decreased for the gemi-gemi group and the mean change in HbA1c at week 52 from baseline was –0.9%±1.2% (P<0.0001). For the pbo-gemi group, HbA1c decreased after they were switched to gemigliptin, and the mean change in HbA1c at week 52 from baseline was –0.7%±1.2% (P<0.0001). Furthermore, the overall incidence of adverse events demonstrated that gemigliptin was safe and well tolerated up to 52 weeks.

Citations

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  • Efficacy and safety of enavogliflozin versus dapagliflozin added to metformin plus gemigliptin treatment in patients with type 2 diabetes: A double-blind, randomized, comparator-active study: ENHANCE-D study
    Kyung-Soo Kim, Kyung Ah Han, Tae Nyun Kim, Cheol-Young Park, Jung Hwan Park, Sang Yong Kim, Yong Hyun Kim, Kee Ho Song, Eun Seok Kang, Chul Sik Kim, Gwanpyo Koh, Jun Goo Kang, Mi Kyung Kim, Ji Min Han, Nan Hee Kim, Ji Oh Mok, Jae Hyuk Lee, Soo Lim, Sang S
    Diabetes & Metabolism.2023; 49(4): 101440.     CrossRef
Original Articles
Metabolic Risk/Epidemiology
Age- and Sex-Related Differential Associations between Body Composition and Diabetes Mellitus
Eun Roh, Soon Young Hwang, Jung A Kim, You-Bin Lee, So-hyeon Hong, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
Diabetes Metab J. 2021;45(2):183-194.   Published online June 16, 2020
DOI: https://doi.org/10.4093/dmj.2019.0171
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Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

The age- and sex-related differences on the impacts of body composition on diabetes mellitus (DM) remain uncertain.

Methods

The fourth and fifth Korea National Health and Nutrition Examination Survey included 15,586 subjects over 30 years of age who completed dual-energy X-ray absorptiometry. We conducted a cross-sectional study to investigate whether muscle mass index (MMI), defined as appendicular skeletal muscle divided by body mass index (BMI), and fat mass index (FMI), defined as trunk fat mass divided by BMI, were differently associated with DM according to age and sex.

Results

In multivariate logistic regression, the risk for DM significantly increased across quartiles of FMI in men aged ≥70. Meanwhile, MMI showed a protective association with DM in men of the same age. The odds ratios (ORs) for the highest quartile versus the lowest quartile of FMI and MMI were 3.116 (95% confidence interval [CI], 1.405 to 6.914) and 0.295 (95% CI, 0.157 to 0.554), respectively. In women, the ORs of DM was significantly different across FMI quartiles in those over age 50. The highest quartile of FMI exhibited increased ORs of DM in subjects aged 50 to 69 (OR, 1.891; 95% CI, 1.229 to 2.908) and ≥70 (OR, 2.275; 95% CI, 1.103 to 4.69) compared to lowest quartile. However, MMI was not significantly associated with DM in women of all age groups.

Conclusion

Both FMI and MMI were independent risk factors for DM in men aged 70 years or more. In women over 50 years, FMI was independently associated with DM. There was no significant association between MMI and DM in women.

Citations

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  • Research Progress on Correlation between Body Composition Changes and Disease Pro-gression of Type 2 Diabetes
    敏 张
    Advances in Clinical Medicine.2024; 14(03): 936.     CrossRef
  • Low Skeletal Muscle Mass Accompanied by Abdominal Obesity Additively Increases the Risk of Incident Type 2 Diabetes
    Ji Eun Jun, Seung-Eun Lee, You-Bin Lee, Gyuri Kim, Sang-Man Jin, Jae Hwan Jee, Jae Hyeon Kim
    The Journal of Clinical Endocrinology & Metabolism.2023; 108(5): 1173.     CrossRef
  • Is imaging-based muscle quantity associated with risk of diabetes? A meta-analysis of cohort studies
    Shanhu Qiu, Xue Cai, Yang Yuan, Bo Xie, Zilin Sun, Tongzhi Wu
    Diabetes Research and Clinical Practice.2022; 189: 109939.     CrossRef
  • Whole and segmental body composition changes during mid-follicular and mid-luteal phases of the menstrual cycle in recreationally active young women
    Şükran Nazan Koşar, Yasemin Güzel, Mehmet Gören Köse, Ayşe Kin İşler, Tahir Hazır
    Annals of Human Biology.2022; 49(2): 124.     CrossRef
  • Body Composition and Diabetes
    Hye Jin Yoo
    The Journal of Korean Diabetes.2021; 22(4): 238.     CrossRef
Clinical Complications
Incidence and Risk Factors for Dementia in Type 2 Diabetes Mellitus: A Nationwide Population-Based Study in Korea
Ji Hee Yu, Kyungdo Han, Sanghyun Park, Hanna Cho, Da Young Lee, Jin-Wook Kim, Ji A Seo, Sin Gon Kim, Sei Hyun Baik, Yong Gyu Park, Kyung Mook Choi, Seon Mee Kim, Nan Hee Kim
Diabetes Metab J. 2020;44(1):113-124.   Published online November 12, 2019
DOI: https://doi.org/10.4093/dmj.2018.0216
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AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Diabetes mellitus is associated with an increased risk of dementia. We aimed to comprehensively analyze the incidence and risk factors for dementia and young-onset dementia (YOD) in diabetic patients in Korea using the National Health Insurance Service data.

Methods

Between January 1, 2009 and December 31, 2012, a total of 1,917,702 participants with diabetes were included and followed until the date of dementia diagnosis or until December 31, 2015. We evaluated the incidence and risk factors for all dementia, Alzheimer's disease (AD), and vascular dementia (VaD) by Cox proportional hazards analyses. We also compared the impact of risk factors on the occurrence of YOD and late-onset dementia (LOD).

Results

During an average of 5.1 years of follow-up, the incidence of all types of dementia, AD, or VaD was 9.5, 6.8, and 1.3/1,000 person-years, respectively, in participants with diabetes. YOD comprised 4.8% of all dementia occurrence, and the ratio of AD/VaD was 2.1 for YOD compared with 5.5 for LOD. Current smokers and subjects with lower income, plasma glucose levels, body mass index (BMI), and subjects with hypertension, dyslipidemia, vascular complications, depression, and insulin treatment developed dementia more frequently. Vascular risk factors such as smoking, hypertension, and previous cardiovascular diseases were more strongly associated with the development of VaD than AD. Low BMI and a history of stroke or depression had a stronger influence on the development of YOD than LOD.

Conclusion

The optimal management of modifiable risk factors may be important for preventing dementia in subjects with diabetes mellitus.

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  • Unlocking the Protective Potential of Upper Respiratory Infection Treatment Histories against Alzheimer’s Disease: A Korean Adult Population Study
    Ho Suk Kang, Ji Hee Kim, Joo-Hee Kim, Woo Jin Bang, Hyo Geun Choi, Nan Young Kim, Ha Young Park, Mi Jung Kwon
    Journal of Clinical Medicine.2024; 13(1): 260.     CrossRef
  • Hepatopancreatic metabolic disorders and their implications in the development of Alzheimer's disease and vascular dementia
    Francisco I. Pinheiro, Irami Araújo-Filho, Amália C.M. do Rego, Eduardo P. de Azevedo, Ricardo N. Cobucci, Fausto P. Guzen
    Ageing Research Reviews.2024; 96: 102250.     CrossRef
  • Amygdala activity and amygdala-hippocampus connectivity: Metabolic diseases, dementia, and neuropsychiatric issues
    Juhyun Song
    Biomedicine & Pharmacotherapy.2023; 162: 114647.     CrossRef
  • The effects of long-term cumulative HbA1c exposure on the development and onset time of dementia in the patients with type 2 diabetes mellitus: Hospital based retrospective study (2005–2021)
    Sunyoung Cho, Choon Ok Kim, Bong-soo Cha, Eosu Kim, Chung Mo Nam, Min-Gul Kim, Min Soo Park
    Diabetes Research and Clinical Practice.2023; 201: 110721.     CrossRef
  • Association of triglyceride/high-density lipoprotein cholesterol ratio with severe complications of COVID-19
    Yoonkyung Chang, Jimin Jeon, Tae-Jin Song, Jinkwon Kim
    Heliyon.2023; 9(6): e17428.     CrossRef
  • Akkermansia muciniphila in neuropsychiatric disorders: friend or foe?
    Wenhui Lei, Yiwen Cheng, Jie Gao, Xia Liu, Li Shao, Qingming Kong, Nengneng Zheng, Zongxin Ling, Weiming Hu
    Frontiers in Cellular and Infection Microbiology.2023;[Epub]     CrossRef
  • The Association Between Eye Disease and Incidence of Dementia: Systematic Review and Meta-Analysis
    Jiayi Feng, Cuihong Huang, Lei Liang, Chuang Li, Xiaojie Wang, Jianping Ma, Xinhui Guan, Bin Jiang, Shaofen Huang, Pei Qin
    Journal of the American Medical Directors Association.2023; 24(9): 1363.     CrossRef
  • Risk of Neurodegenerative Diseases in Elderly Koreans with an Initial Diagnosis of Type 2 Diabetes: A Nationwide Retrospective Cohort Study
    Hee-Cheol Kim, Ho-Jun Lee, Yang-Tae Kim, Byeong-Churl Jang, Asirvatham Alwin Robert
    Journal of Diabetes Research.2023; 2023: 1.     CrossRef
  • Type-2 Diabetes Alters Hippocampal Neural Oscillations and Disrupts Synchrony between the Hippocampus and Cortex
    Gratianne Rabiller, Zachary Ip, Shahram Zarrabian, Hongxia Zhang, Yoshimichi Sato, Azadeh Yazdan-Shahmorad, Jialing Liu
    Aging and disease.2023;[Epub]     CrossRef
  • Sarcopenia and diabetes-induced dementia risk
    Mingyang Sun, Zhongyuan Lu, Wan-Ming Chen, Szu-Yuan Wu, Jiaqiang Zhang
    Brain Communications.2023;[Epub]     CrossRef
  • Association of periodontitis with microvascular complications of diabetes mellitus: A nationwide cohort study
    Moo-Seok Park, Jimin Jeon, Tae-Jin Song, Jinkwon Kim
    Journal of Diabetes and its Complications.2022; 36(2): 108107.     CrossRef
  • Association between oral health and cardiovascular outcomes in patients with hypertension: a nationwide cohort study
    Jinkwon Kim, Hyung Jun Kim, Jimin Jeon, Tae-Jin Song
    Journal of Hypertension.2022; 40(2): 374.     CrossRef
  • Diabetic retinopathy and cognitive dysfunction: a systematic review and meta-analysis
    Mei Wu, Fan Mei, Kaiyan Hu, Liyuan Feng, Zhe Wang, Qianqian Gao, Fei Chen, Li Zhao, Xiaohui Li, Bin Ma
    Acta Diabetologica.2022; 59(4): 443.     CrossRef
  • Associations between depression and cognition, mild cognitive impairment and dementia in persons with diabetes mellitus: A systematic review and meta-analysis
    Yeng Yan Chow, Milou Verdonschot, Claire T. McEvoy, Geeske Peeters
    Diabetes Research and Clinical Practice.2022; 185: 109227.     CrossRef
  • Diabetes Mellitus: A Path to Amnesia, Personality, and Behavior Change
    Rahnuma Ahmad, Kona Chowdhury, Santosh Kumar, Mohammed Irfan, Govindool Reddy, Farhana Akter, Dilshad Jahan, Mainul Haque
    Biology.2022; 11(3): 382.     CrossRef
  • Hypothyroidism and Diabetes-Related Dementia: Focused on Neuronal Dysfunction, Insulin Resistance, and Dyslipidemia
    Hee Kyung Kim, Juhyun Song
    International Journal of Molecular Sciences.2022; 23(6): 2982.     CrossRef
  • Type 2 Diabetes Mellitus as a Risk Factor for Alzheimer’s Disease: Review and Meta-Analysis
    Athanasia Athanasaki, Konstantinos Melanis, Ioanna Tsantzali, Maria Ioanna Stefanou, Sofia Ntymenou, Sotirios G. Paraskevas, Theodosis Kalamatianos, Eleni Boutati, Vaia Lambadiari, Konstantinos I. Voumvourakis, George Stranjalis, Sotirios Giannopoulos, Ge
    Biomedicines.2022; 10(4): 778.     CrossRef
  • Cardiometabolic measures and cognition in early menopause - Analysis of baseline data from a randomized controlled trial
    Lubna Pal, Kelly Morgan, Nanette F. Santoro, JoAnn E. Manson, Hugh S. Taylor, Virginia M. Miller, Eliot A. Brinton, Rogerio Lobo, Genevieve Neal-Perry, Marcelle I. Cedars, S. Mitchell Harman, Taryn T. James, Carey E. Gleason
    Maturitas.2022; 162: 58.     CrossRef
  • Dysfunctional Glucose Metabolism in Alzheimer’s Disease Onset and Potential Pharmacological Interventions
    Vijay Kumar, So-Hyeon Kim, Kausik Bishayee
    International Journal of Molecular Sciences.2022; 23(17): 9540.     CrossRef
  • Metabolically healthy obesity: it is time to consider its dynamic changes
    Yun Kyung Cho, Chang Hee Jung
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(4): 123.     CrossRef
  • Association between cholesterol levels and dementia risk according to the presence of diabetes and statin use: a nationwide cohort study
    You-Bin Lee, Min Young Kim, Kyungdo Han, Bongsung Kim, Jiyun Park, Gyuri Kim, Kyu Yeon Hur, Jae Hyeon Kim, Sang-Man Jin
    Scientific Reports.2022;[Epub]     CrossRef
  • The insulin resistance by triglyceride glucose index and risk for dementia: population-based study
    Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Alzheimer's Research & Therapy.2021;[Epub]     CrossRef
  • The identification of established modifiable mid-life risk factors for cardiovascular disease which contribute to cognitive decline: Korean Longitudinal Study of Aging (KLoSA)
    Yebeen Ysabelle Boo, Otto-Emil Jutila, Meghan A. Cupp, Logan Manikam, Sung-Il Cho
    Aging Clinical and Experimental Research.2021; 33(9): 2573.     CrossRef
  • Examining the effects of multiple chronic conditions on cognitive decline and potential moderators among older Koreans: Findings from the Korean Longitudinal Study of Ageing 2006–2016
    Yura Lee, Chi C. Cho
    Archives of Gerontology and Geriatrics.2021; 95: 104424.     CrossRef
  • Cumulative Exposure to Metabolic Syndrome Components and the Risk of Dementia: A Nationwide Population-Based Study
    Yunjung Cho, Kyungdo Han, Da Hye Kim, Yong-Moon Park, Kun-Ho Yoon, Mee Kyoung Kim, Seung-Hwan Lee
    Endocrinology and Metabolism.2021; 36(2): 424.     CrossRef
  • Cardiovascular risks of periodontitis and oral hygiene indicators in patients with diabetes mellitus
    Tae-Jin Song, Jimin Jeon, Jinkwon Kim
    Diabetes & Metabolism.2021; 47(6): 101252.     CrossRef
  • Association Between Diabetic Retinopathy and Cognitive Impairment: A Systematic Review and Meta-Analysis
    Dihe Cheng, Xue Zhao, Shuo Yang, Guixia Wang, Guang Ning
    Frontiers in Aging Neuroscience.2021;[Epub]     CrossRef
  • Improving Cognition with Nutraceuticals Targeting TGF-β1 Signaling
    Margherita Grasso, Giuseppe Caruso, Justyna Godos, Angela Bonaccorso, Claudia Carbone, Sabrina Castellano, Walter Currenti, Giuseppe Grosso, Teresa Musumeci, Filippo Caraci
    Antioxidants.2021; 10(7): 1075.     CrossRef
  • The risk of Alzheimer’s disease according to dynamic changes in metabolic health and obesity: a nationwide population-based cohort study
    Yun Kyung Cho, Jiwoo Lee, Hwi Seung Kim, Joong-Yeol Park, Woo Je Lee, Ye-Jee Kim, Chang Hee Jung
    Aging.2021; 13(13): 16974.     CrossRef
  • Letter: Hypoglycemia and Dementia Risk in Older Patients with Type 2 Diabetes Mellitus: A Propensity-Score Matched Analysis of a Population-Based Cohort Study (Diabetes Metab J 2020;44:125–33)
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2020; 44(2): 356.     CrossRef
  • The Interplay between Diabetes and Alzheimer’s Disease—In the Hunt for Biomarkers
    Adriana Kubis-Kubiak, Aleksandra Dyba, Agnieszka Piwowar
    International Journal of Molecular Sciences.2020; 21(8): 2744.     CrossRef
  • Association between cytomegalovirus end-organ diseases and moderate-to-severe dementia: a population-based cohort study
    Kyoung Hwa Lee, Da Eun Kwon, Kyung Do Han, Yeonju La, Sang Hoon Han
    BMC Neurology.2020;[Epub]     CrossRef
Complications
Presence of Carotid Plaque Is Associated with Rapid Renal Function Decline in Patients with Type 2 Diabetes Mellitus and Normal Renal Function
Da Hea Seo, So Hun Kim, Joon Ho Song, Seongbin Hong, Young Ju Suh, Seong Hee Ahn, Jeong-Taek Woo, Sei Hyun Baik, Yongsoo Park, Kwan Woo Lee, Young Seol Kim, Moonsuk Nam
Diabetes Metab J. 2019;43(6):840-853.   Published online March 12, 2019
DOI: https://doi.org/10.4093/dmj.2018.0186
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AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Recent evidences indicate that early rapid renal function decline is closely associated with the development and progression of diabetic kidney disease. We have investigated the association between carotid atherosclerosis and rapid renal function decline in patients with type 2 diabetes mellitus and preserved renal function.

Methods

In a prospective, multicenter cohort, a total of 967 patients with type 2 diabetes mellitus and preserved renal function were followed for 6 years with serial estimated glomerular filtration rate (eGFR) measurements. Common carotid intima-media thickness (CIMT) and presence of carotid plaque were assessed at baseline. Rapid renal function decline was defined as an eGFR decline >3.3% per year.

Results

Over a median follow-up of 6 years, 158 participants (16.3%) developed rapid renal function decline. While there was no difference in CIMT, the presence of carotid plaque in rapid decliners was significantly higher than in non-decliners (23.2% vs. 12.2%, P<0.001). In multivariable logistic regression analysis, presence of carotid plaque was an independent predictor of rapid renal function decline (odds ratio, 2.33; 95% confidence interval, 1.48 to 3.68; P<0.0001) after adjustment for established risk factors. The model including the carotid plaque had better performance for discrimination of rapid renal function decline than the model without carotid plaque (area under the receiver operating characteristic curve 0.772 vs. 0.744, P=0.016).

Conclusion

Close monitoring of renal function and early intensive management may be beneficial in patients with type 2 diabetes mellitus and carotid plaques.

Citations

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  • Impact of diabetes distress on glycemic control and diabetic complications in type 2 diabetes mellitus
    Hye-Sun Park, Yongin Cho, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, Young Ju Suh, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Kwan Woo Lee, So Hun Kim
    Scientific Reports.2024;[Epub]     CrossRef
  • Correlation analysis of carotid plaque in young patients with newly diagnosed type 2 diabetes and platelet-to-lymphocyte ratio and neutrophil–lymphocyte ratio
    Huijun Wen, Hai Yu
    Vascular.2023; 31(1): 90.     CrossRef
  • Diabetic vascular diseases: molecular mechanisms and therapeutic strategies
    Yiwen Li, Yanfei Liu, Shiwei Liu, Mengqi Gao, Wenting Wang, Keji Chen, Luqi Huang, Yue Liu
    Signal Transduction and Targeted Therapy.2023;[Epub]     CrossRef
  • Carotid intima-media thickness and atherosclerotic plaques are associated with renal function decline: a 14-year longitudinal population-based study
    Miriam Goepfert, Till Ittermann, Marcus Dörr, Nele Friedrich, Henry Völzke, Thomas Dabers, Stephan B Felix, Ulf Schminke, Sylvia Stracke, Sabrina von Rheinbaben
    Nephrology Dialysis Transplantation.2023; 38(11): 2598.     CrossRef
  • Blood pressure and vascular determinants of glomerular filtration rate decline in diabetic kidney disease
    Luca Truscello, Dina Nobre, Vehashini Sabaratnam, Olivier Bonny, Grégoire Wuerzner, Michel Burnier, Fadi Fakhouri, Menno Pruijm, Anne Zanchi
    Frontiers in Cardiovascular Medicine.2023;[Epub]     CrossRef
  • Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 Diabetics
    Fatma Hilal Yagin, Seyma Yasar, Yasin Gormez, Burak Yagin, Abdulvahap Pinar, Abedalrhman Alkhateeb, Luca Paolo Ardigò
    Metabolites.2023; 13(12): 1204.     CrossRef
  • Evaluation of Subclinical Vascular Disease in Diabetic Kidney Disease: A Tool for Personalization of Management of a High-Risk Population
    Christodoula Kourtidou, Vasileios Rafailidis, Garyfallia Varouktsi, Efthimios Kanakis, Vassilios Liakopoulos, Timoleon-Achilleas Vyzantiadis, Maria Stangou, Smaragdi Marinaki, Konstantinos Tziomalos
    Journal of Personalized Medicine.2022; 12(7): 1139.     CrossRef
  • Prevalence and Predictors of Renal Disease in a National Representative Sample of the Romanian Adult Population: Data from the SEPHAR IV Survey
    Călin Pop, Oana Florentina Gheorghe Fronea, Ioana Antonia Branea, Lucian Mihai Itu, Roxana Darabont, Irinel Parepa, Theodora Benedek, Maria Dorobantu
    Diagnostics.2022; 12(12): 3199.     CrossRef
  • Clinical features of and risk factors for normoalbuminuric diabetic kidney disease in hospitalized patients with type 2 diabetes mellitus: a retrospective cross-sectional study
    Qi Dai, Nan Chen, Ling Zeng, Xin-Jie Lin, Feng-Xiu Jiang, Xiong-Jie Zhuang, Ze-Yuan Lu
    BMC Endocrine Disorders.2021;[Epub]     CrossRef
  • The Predictive Value of Carotid Ultrasonography With Cardiovascular Risk Factors—A “SPIDER” Promoting Atherosclerosis
    Hongwei Li, Xiaolin Xu, Baoming Luo, Yuling Zhang
    Frontiers in Cardiovascular Medicine.2021;[Epub]     CrossRef
  • Update on pathogenesis and diagnosis flow of normoalbuminuric diabetes with renal insufficiency
    Le Deng, Wenjie Li, Gaosi Xu
    European Journal of Medical Research.2021;[Epub]     CrossRef
  • Association of serum fibroblast growth factor 21 with kidney function in a population-based Chinese cohort
    Rui Zhang, Yufeng Li, Xianghai Zhou, Fang Zhang, Meng Li, Simin Zhang, Xiuying Zhang, Xin Wen, Linong Ji
    Medicine.2021; 100(50): e28238.     CrossRef
  • Letter: Presence of Carotid Plaque Is Associated with Rapid Renal Function Decline in Patients with Type 2 Diabetes Mellitus and Normal Renal Function (Diabetes Metab J 2019;43:840–53)
    Min-Ji Kim, Jae-Han Jeon
    Diabetes & Metabolism Journal.2020; 44(1): 201.     CrossRef
  • Response: Presence of Carotid Plaque Is Associated with Rapid Renal Function Decline in Patients with Type 2 Diabetes Mellitus and Normal Renal Function (Diabetes Metab J 2019;43:840–53)
    Da Hea Seo, So Hun Kim, Moonsuk Nam
    Diabetes & Metabolism Journal.2020; 44(1): 205.     CrossRef
  • Serum Levels of Adipocyte Fatty Acid-Binding Protein Are Associated with Rapid Renal Function Decline in Patients with Type 2 Diabetes Mellitus and Preserved Renal Function
    Da Hea Seo, Moonsuk Nam, Mihye Jung, Young Ju Suh, Seong Hee Ahn, Seongbin Hong, So Hun Kim
    Diabetes & Metabolism Journal.2020; 44(6): 875.     CrossRef
  • Proteinuria Is Associated with Carotid Artery Atherosclerosis in Non-Albuminuric Type 2 Diabetes: A Cross-Sectional Study
    Jaehyun Bae, Yong-ho Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee
    Journal of Clinical Medicine.2020; 9(1): 136.     CrossRef
Clinical Diabetes & Therapeutics
Efficacy and Safety of Voglibose Plus Metformin in Patients with Type 2 Diabetes Mellitus: A Randomized Controlled Trial
Tae Jung Oh, Jae Myung Yu, Kyung Wan Min, Hyun Shik Son, Moon Kyu Lee, Kun Ho Yoon, Young Duk Song, Joong Yeol Park, In Kyung Jeong, Bong Soo Cha, Yong Seong Kim, Sei Hyun Baik, In Joo Kim, Doo Man Kim, Sung Rae Kim, Kwan Woo Lee, Jeong Hyung Park, In Kyu Lee, Tae Sun Park, Sung Hee Choi, Sung Woo Park
Diabetes Metab J. 2019;43(3):276-286.   Published online December 7, 2018
DOI: https://doi.org/10.4093/dmj.2018.0051
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AbstractAbstract PDFPubReader   
Background

Combination of metformin to reduce the fasting plasma glucose level and an α-glucosidase inhibitor to decrease the postprandial glucose level is expected to generate a complementary effect. We compared the efficacy and safety of a fixed-dose combination of voglibose plus metformin (vogmet) with metformin monotherapy in drug-naïve newly-diagnosed type 2 diabetes mellitus.

Methods

A total of 187 eligible patients aged 20 to 70 years, with a glycosylated hemoglobin (HbA1c) level of 7.0% to 11.0%, were randomized into either vogmet or metformin treatments for 24 weeks. A change in the HbA1c level from baseline was measured at week 24.

Results

The reduction in the levels of HbA1c was −1.62%±0.07% in the vogmet group and −1.31%±0.07% in the metformin group (P=0.003), and significantly more vogmet-treated patients achieved the target HbA1c levels of <6.5% (P=0.002) or <7% (P=0.039). Glycemic variability was also significantly improved with vogmet treatment, estimated by M-values (P=0.004). Gastrointestinal adverse events and hypoglycemia (%) were numerically lower in the vogmet-treated group. Moreover, a significant weight loss was observed with vogmet treatment compared with metformin (−1.63 kg vs. −0.86 kg, P=0.039).

Conclusion

Vogmet is a safe antihyperglycemic agent that controls blood glucose level effectively, yields weight loss, and is superior to metformin in terms of various key glycemic parameters without increasing the risk of hypoglycemia.

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    Mónica Aideé Díaz-Román, Juan José Acevedo-Fernández, Gabriela Ávila-Villarreal, Elizabeth Negrete-León, A. Berenice Aguilar-Guadarrama
    Fitoterapia.2024; 174: 105839.     CrossRef
  • YAP/TAZ axis was involved in the effects of metformin on breast cancer
    Yu Xu, Hongke Cai, Yuanfeng Xiong, Li Tang, Longjiang Li, Li Zhang, Yi Shen, Yongqiang Yang, Ling Lin, Jiayi Huang
    Journal of Chemotherapy.2023; 35(7): 627.     CrossRef
  • Diabetes remission: Myth or reality?
    Ashok Kumar, ShubhaLaxmi Margekar, Ravi Kumar
    Indian Journal of Medical Specialities.2023; 14(1): 3.     CrossRef
  • Analysis of Reports Sent to the Portuguese Pharmacovigilance System and Published Literature Regarding the Safety of Metformin in the Elderly
    Beatriz Esteves, Cristina Monteiro, Ana Paula Coelho Duarte
    Healthcare.2023; 11(15): 2197.     CrossRef
  • Rapid prediction method of α-Glycosidase inhibitory activity of Coreopsis tinctoria extract from different habitats by near infrared spectroscopy
    Xiaogang He, Xiang Han, Jiaping Yu, Yulong Feng, Ganghui Chu
    Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy.2022; 268: 120601.     CrossRef
  • Insulin autoimmune syndrome in patients with type 2 diabetes: A report of two cases
    Y. Shin, T.J. Oh, S.H. Choi, H.C. Jang
    Diabetes & Metabolism.2021; 47(1): 101115.     CrossRef
  • Efficacy and Safety of Treatment with Quadruple Oral Hypoglycemic Agents in Uncontrolled Type 2 Diabetes Mellitus: A Multi-Center, Retrospective, Observational Study
    Jun Sung Moon, Sunghwan Suh, Sang Soo Kim, Heung Yong Jin, Jeong Mi Kim, Min Hee Jang, Kyung Ae Lee, Ju Hyung Lee, Seung Min Chung, Young Sang Lyu, Jin Hwa Kim, Sang Yong Kim, Jung Eun Jang, Tae Nyun Kim, Sung Woo Kim, Eonju Jeon, Nan Hee Cho, Mi-Kyung Ki
    Diabetes & Metabolism Journal.2021; 45(5): 675.     CrossRef
  • Quantifying Remission Probability in Type 2 Diabetes Mellitus
    Sanjay Kalra, Ganapathi Bantwal, Nitin Kapoor, Rakesh Sahay, Saptarshi Bhattacharya, Beatrice Anne, Raju A Gopal, Sunil Kota, Ashok Kumar, Ameya Joshi, Debmalya Sanyal, Mangesh Tiwaskar, Ashok Kumar Das
    Clinics and Practice.2021; 11(4): 850.     CrossRef
  • The effect of voglibose on metabolic profiles in patients with type 2 diabetes mellitus: A systematic review and meta-analysis of clinical trials
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    Pharmacological Research.2020; 159: 104988.     CrossRef
  • Role of Intestinal Microbiota in Metabolism of Voglibose In Vitro and In Vivo
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    Diabetes & Metabolism Journal.2020; 44(6): 908.     CrossRef
  • Response: Efficacy and Safety of Voglibose Plus Metformin in Patients with Type 2 Diabetes Mellitus: A Randomized Controlled Trial (Diabetes metab J 2019;43;276-86)
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Obesity and Metabolic Syndrome
Proportion and Characteristics of the Subjects with Low Muscle Mass and Abdominal Obesity among the Newly Diagnosed and Drug-Naïve Type 2 Diabetes Mellitus Patients
Jung A Kim, Soon Young Hwang, Hye Soo Chung, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
Diabetes Metab J. 2019;43(1):105-113.   Published online September 28, 2018
DOI: https://doi.org/10.4093/dmj.2018.0036
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AbstractAbstract PDFPubReader   
Background

Sarcopenic obesity (SO) is a serious public health concern, few studies have examined the clinical implications of SO in newly-diagnosed type 2 diabetes mellitus (T2DM) patients. We evaluated the prevalence of the newly diagnosed, drug-naïve T2DM patients with low muscle mass with abdominal obesity and its association with insulin resistance and other diabetic complications.

Methods

We classified 233 drug-naïve T2DM subjects into four groups according to abdominal obesity (waist circumference ≥90 cm in men and ≥85 cm in women) and low muscle mass status (appendicular skeletal muscle <7.0 kg/m2 for men and <5.4 kg/m2 for women).

Results

The proportion of the subjects with low muscle mass and abdominal obesity among the newly diagnosed, drug-naïve T2DM patients was 8.2%. Homeostasis model assessment of insulin resistance (HOMA-IR) increased linearly according to body composition group from normal to abdominal obesity to both low muscle mass and abdominal obesity. The multiple logistic regression analysis indicated that subjects with low muscle mass and abdominal obesity (odds ratio [OR], 9.39; 95% confidence interval [CI], 2.41 to 36.56) showed a higher risk for insulin resistance, defined as HOMA-IR ≥3, than those with abdominal obesity (OR, 5.36; 95% CI, 2.46 to 11.69), even after adjusting for other covariates. However, there were no differences in lipid profiles, microalbuminuria, or various surrogate markers for atherosclerosis among the four groups.

Conclusion

Subjects with both low muscle mass and abdominal obesity had a higher risk of insulin resistance than those with low muscle mass or abdominal obesity only.

Citations

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  • Clinical observation on acupuncture for 80 patients with abdominal obesity in Germany: based on the theory of unblocking and regulating the Belt Vessel
    Yuanyuan Li, Hang Xiong, Shuhui Ma, Jingzhang Dai
    Journal of Acupuncture and Tuina Science.2023; 21(2): 137.     CrossRef
  • Waist circumference and end‐stage renal disease based on glycaemic status: National Health Insurance Service data 2009–2018
    Yun Kyung Cho, Ji Hye Huh, Shinje Moon, Yoon Jung Kim, Yang‐Hyun Kim, Kyung‐do Han, Jun Goo Kang, Seong Jin Lee, Sung‐Hee Ihm
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(1): 585.     CrossRef
  • Incidence of sarcopenic obesity in older patients with diabetes and association between sarcopenic obesity and higher-level functional capacity: evaluation based on a consensus statement
    Satoshi Ida, Ryutaro Kaneko, Kanako Imataka, Kaoru Okubo, Kentaro Azuma, Kazuya Murata
    Endocrine Journal.2023; 70(6): 591.     CrossRef
  • A Novel Anthropometric Parameter, Weight-Adjusted Waist Index Represents Sarcopenic Obesity in Newly Diagnosed Type 2 Diabetes Mellitus
    Min Jeong Park, Soon Young Hwang, Nam Hoon Kim, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
    Journal of Obesity & Metabolic Syndrome.2023; 32(2): 130.     CrossRef
  • Prevalence of sarcopenic obesity in patients with diabetes and adverse outcomes: A systematic review and meta-analysis
    Yuan-yuan Zhou, Jin-feng Wang, Qian Yao, Qiu-feng Jian, Zhi-peng Luo
    Clinical Nutrition ESPEN.2023; 58: 128.     CrossRef
  • The Correlation Between Leg Muscle Mass Index and Non-Alcoholic Fatty Liver Disease in Patients with Type 2 Diabetes Mellitus
    Menggege Liu, Qing Zhang, Juan Liu, Huiling Bai, Ping Yang, Xinhua Ye, Xiaoqing Yuan
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 4169.     CrossRef
  • Sarcopenic Obesity with Normal Body Size May Have Higher Insulin Resistance in Elderly Patients with Type 2 Diabetes Mellitus
    Tingting Han, Ting Yuan, Xinyue Liang, Ningxin Chen, Jia Song, Xin Zhao, Yurong Weng, Yaomin Hu
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 1197.     CrossRef
  • Relationship between Visceral Adipose Index, Lipid Accumulation Product and Type 2 Diabetes Mellitus
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    Advances in Clinical Medicine.2022; 12(04): 3350.     CrossRef
  • Assessment of the relationship between prediabetes and low skeletal mass based on blood creatinine level
    S. I. Ibragimova, G. O. Nuskabayeva, Z. N. Shalkharova, K. Zh. Sadykova, G. A. Junusbekova, M. Oran
    Diabetes mellitus.2022; 25(3): 226.     CrossRef
  • Changes in body composition and low blood urea nitrogen level related to an increase in the prevalence of fatty liver over 20 years: A cross‐sectional study
    Yasushi Imamura, Seiichi Mawatari, Kohei Oda, Kotaro Kumagai, Yasunari Hiramine, Akiko Saishoji, Atsuko Kakihara, Mai Nakahara, Manei Oku, Kaori Hosoyamada, Shuji Kanmura, Akihiro Moriuchi, Hironori Miyahara, Akio ido
    Hepatology Research.2021; 51(5): 570.     CrossRef
  • Body Composition and Diabetes
    Hye Jin Yoo
    The Journal of Korean Diabetes.2021; 22(4): 238.     CrossRef
  • Reduced Skeletal Muscle Volume and Increased Skeletal Muscle Fat Deposition Characterize Diabetes in Individuals after Pancreatitis: A Magnetic Resonance Imaging Study
    Andre E. Modesto, Juyeon Ko, Charlotte E. Stuart, Sakina H. Bharmal, Jaelim Cho, Maxim S. Petrov
    Diseases.2020; 8(3): 25.     CrossRef
  • Low alanine aminotransferase levels predict low muscle strength in older patients with diabetes: A nationwide cross‐sectional study in Korea
    Seung Min Chung, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
    Geriatrics & Gerontology International.2020; 20(4): 271.     CrossRef
  • Association between sarcopenic obesity and higher risk of type 2 diabetes in adults: A systematic review and meta-analysis
    Dima Khadra, Leila Itani, Hana Tannir, Dima Kreidieh, Dana El Masri, Marwan El Ghoch
    World Journal of Diabetes.2019; 10(5): 311.     CrossRef
Clinical Care/Education
Impact of Socioeconomic Status on Health Behaviors, Metabolic Control, and Chronic Complications in Type 2 Diabetes Mellitus
So Hun Kim, Seung Youn Lee, Chei Won Kim, Young Ju Suh, Seongbin Hong, Seong Hee Ahn, Da Hae Seo, Moon-Suk Nam, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Yongsoo Park, Kwan Woo Lee, Young Seol Kim
Diabetes Metab J. 2018;42(5):380-393.   Published online June 29, 2018
DOI: https://doi.org/10.4093/dmj.2017.0102
  • 4,754 View
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  • 11 Web of Science
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AbstractAbstract PDFSupplementary MaterialPubReader   
Background

The aim of the study was to assess the impact of socioeconomic status (SES) on health behaviors, metabolic control, and chronic complications in people with type 2 diabetes mellitus (T2DM) from South Korea, a country with universal health insurance coverage and that has experienced rapid economic and social transition.

Methods

A total of 3,294 Korean men and women with T2DM aged 30 to 65 years, participating in the Korean National Diabetes Program (KNDP) cohort who reported their SES and had baseline clinical evaluation were included in the current cross-sectional analysis. SES included the level of education and monthly household income.

Results

Lower education level and lower income level were closely related, and both were associated with older age in men and women. Women and men with lower income and education level had higher carbohydrate and lower fat intake. After adjustment for possible confounding factors, higher education in men significantly lowered the odds of having uncontrolled hyperglycemia (glycosylated hemoglobin ≥7.5%) (odds ratio [OR], 0.63; 95% confidence interval [CI], 0.43 to 0.91 for highest education; Ptrend=0.048), while higher household income in men significantly lowered the odds of having diabetic retinopathy (OR, 0.59; 95% CI, 0.37 to 0.95 for highest income level; Ptrend=0.048). In women, lower income was associated with a higher stress level.

Conclusion

Men with lower SES had higher odds of having diabetic retinopathy and uncontrolled hyperglycemia, showing the need to improve care targeted to this population.

Citations

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  • A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus
    Laleh Gharacheh, Mostafa Amini-Rarani, Amin Torabipour, Saeed Karimi
    International Journal of Preventive Medicine.2024;[Epub]     CrossRef
  • Socioeconomic status and the effect of prolonged pandemic confinement on anthropometric and glycaemic outcomes in adults with type 2 diabetes mellitus
    Chandana Wijeweera, Ummul Muhfaza, Reginald V. Lord, Peter Petocz, Juliana Chen, Veronica Preda
    Primary Care Diabetes.2024;[Epub]     CrossRef
  • Association of diet quality with glycemia, insulinemia, and insulin resistance in families at high risk for type 2 diabetes mellitus in Europe: Feel4 Diabetes Study
    Botsi E, Karatzi K, Mavrogianni C, Kaloyan Tsochev, Esther M González-Gil, Radó S, Kivelä J, Wikström K, Cardon G, Rurik I, Liatis S, Tsvetalina Tankova, Violeta Iotova, Luis A. Moreno, Makrillakis K, Manios Y, Tsigos C
    Nutrition.2023; 105: 111805.     CrossRef
  • Sustained Low Income, Income Changes, and Risk of All-Cause Mortality in Individuals With Type 2 Diabetes: A Nationwide Population-Based Cohort Study
    Hong Seok Lee, Jimin Clara Park, Inkwan Chung, Junxiu Liu, Seong-Su Lee, Kyungdo Han
    Diabetes Care.2023; 46(1): 92.     CrossRef
  • Association of birth weight with risk of diabetes mellitus in adolescence and early adulthood: analysis of the Indonesian Family Life Survey
    Ratu Ayu Dewi Sartika, Fathimah Sulistyowati Sigit, Edy Purwanto, Norliyana Aris, Avliya Quratul Marjan, Wahyu Kurnia Yusrin Putra, Sutanto Priyo Hastono
    Annals of Pediatric Endocrinology & Metabolism.2023; 28(4): 267.     CrossRef
  • Effects of Diabetes Quality Assessment on Diabetes Management Behaviors Based on a Nationwide Survey
    Chang Kyun Choi, Jungho Yang, Ji-An Jeong, Min-Ho Shin
    International Journal of Environmental Research and Public Health.2022; 19(23): 15781.     CrossRef
  • FOLLOW-UP ADHERENCE IN PATIENTS WITH NONPROLIFERATIVE DIABETIC RETINOPATHY PRESENTING TO AN OPHTHALMIC EMERGENCY DEPARTMENT
    Arjun Watane, Meghana Kalavar, Elizabeth A. Vanner, Kara Cavuoto, Jayanth Sridhar
    Retina.2021; 41(6): 1293.     CrossRef
  • Socioeconomic disparity in global vision loss burden due to diabetic retinopathy: an analysis on time trends from 1990 to 2017
    Yi Shan, Yufeng Xu, Lingxia Ye, Xiling Lin, Yaoyao Chen, Qi Miao, Juan Ye
    Endocrine.2021; 73(2): 316.     CrossRef
  • Tip 2 Diyabetli Bireylerin Hastalık Yönetiminde Karşılaştıkları Engellerin Değerlendirilmesi
    Şuheda ÜSTÜNDAĞ, Nuray DAYAPOĞLU
    Adnan Menderes Üniversitesi Sağlık Bilimleri Fakültesi Dergisi.2021; 5(3): 514.     CrossRef
  • Socioeconomic inequalities in type 2 diabetes in employed individuals, nonworking spouses and pensioners
    Batoul Safieddine, Stefanie Sperlich, Johannes Beller, Karin Lange, Jelena Epping, Juliane Tetzlaff, Fabian Tetzlaff, Siegfried Geyer
    SSM - Population Health.2020; 11: 100596.     CrossRef
  • Thirteen-year trends in the prevalence of diabetes according to socioeconomic condition and cardiovascular risk factors in a Swiss population
    Carlos de Mestral, Silvia Stringhini, Idris Guessous, François R Jornayvaz
    BMJ Open Diabetes Research & Care.2020; 8(1): e001273.     CrossRef
  • Dietary Habits and Dietary Antioxidant Intake Are Related to Socioeconomic Status in Polish Adults: A Nationwide Study
    Małgorzata Elżbieta Zujko, Anna Waśkiewicz, Wojciech Drygas, Alicja Cicha-Mikołajczyk, Kinga Zujko, Danuta Szcześniewska, Krystyna Kozakiewicz, Anna Maria Witkowska
    Nutrients.2020; 12(2): 518.     CrossRef
  • Diabetes Fact Sheets in Korea, 2018: An Appraisal of Current Status
    Bo-Yeon Kim, Jong Chul Won, Jae Hyuk Lee, Hun-Sung Kim, Jung Hwan Park, Kyoung Hwa Ha, Kyu Chang Won, Dae Jung Kim, Kyong Soo Park
    Diabetes & Metabolism Journal.2019; 43(4): 487.     CrossRef
  • Gender in Endocrine Diseases: Role of Sex Gonadal Hormones
    R. Lauretta, M. Sansone, A. Sansone, F. Romanelli, M. Appetecchia
    International Journal of Endocrinology.2018; 2018: 1.     CrossRef

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