Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
56 "Nan Hee Kim"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Article
Metabolic Risk/Epidemiology
2023 Diabetic Kidney Disease Fact Sheet in Korea
Nam Hoon Kim, Mi-Hae Seo, Jin Hyung Jung, Kyung Do Han, Mi Kyung Kim, Nan Hee Kim, on Behalf of Diabetic Kidney Disease Research Group of the Korean Diabetes Association
Received July 30, 2023  Accepted January 26, 2024  Published online March 19, 2024  
DOI: https://doi.org/10.4093/dmj.2023.0310    [Epub ahead of print]
  • 587 View
  • 42 Download
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To investigate the prevalence, incidence, comorbidities, and management status of diabetic kidney disease (DKD) and diabetes-related end-stage kidney disease (ESKD) in South Korea.
Methods
We used the Korea National Health and Nutrition Examination Survey data (2019 to 2021, n=2,665) for the evaluation of prevalence, comorbidities, control rate of glycemia and comorbidities in DKD, and the Korean Health Insurance Service-customized database (2008 to 2019, n=3,950,857) for the evaluation of trends in the incidence and prevalence rate of diabetes-related ESKD, renin-angiotensin system (RAS) blockers and sodium glucose cotransporter 2 (SGLT2) inhibitors use for DKD, and the risk of atherosclerotic cardiovascular disease (ASCVD) and mortality according to DKD stages. DKD was defined as albuminuria or low estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 in patients with diabetes mellitus.
Results
The prevalence of DKD was 25.4% (albuminuria, 22.0%; low eGFR, 6.73%) in patients with diabetes mellitus aged ≥30 years. Patients with DKD had a higher rate of comorbidities, including hypertension, dyslipidemia, and central obesity; however, their control rates were lower than those without DKD. Prescription rate of SGLT2 inhibitors with reduced eGFR increased steadily, reaching 5.94% in 2019. Approximately 70% of DKD patients were treated with RAS blockers. The prevalence rate of diabetesrelated ESKD has been steadily increasing, with a higher rate in older adults. ASCVD and mortality were significantly associated with an in increase in DKD stage.
Conclusion
DKD is prevalent among Korean patients with diabetes and is an independent risk factor for cardiovascular morbidity and mortality, which requiring intensive management of diabetes and comorbidities. The prevalence of diabetes-related ESKD has been increasing, especially in the older adults, during past decade.

Citations

Citations to this article as recorded by  
  • Endothelial NOX5 Obliterates the Reno-Protective Effect of Nox4 Deletion by Promoting Renal Fibrosis via Activation of EMT and ROS-Sensitive Pathways in Diabetes
    Karin A. M. Jandeleit-Dahm, Haritha R. Kankanamalage, Aozhi Dai, Jaroslawna Meister, Sara Lopez-Trevino, Mark E. Cooper, Rhian M. Touyz, Christopher R. J. Kennedy, Jay C. Jha
    Antioxidants.2024; 13(4): 396.     CrossRef
Reviews
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
  • 2,029 View
  • 214 Download
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.
Guideline/Fact Sheet
2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae Jin Kim, Hyun Min Kim, Jung Hae Ko, Nam Hoon Kim, Chong Hwa Kim, Jeeyun Ahn, Tae Jung Oh, Soo-Kyung Kim, Jaehyun Kim, Eugene Han, Sang-Man Jin, Won Suk Choi, Min Kyong Moon, Committee of Clinical Practice Guidelines, Korean Diabetes Association
Diabetes Metab J. 2023;47(5):575-594.   Published online September 26, 2023
DOI: https://doi.org/10.4093/dmj.2023.0282
  • 4,791 View
  • 606 Download
  • 6 Web of Science
  • 13 Crossref
AbstractAbstract PDFPubReader   ePub   
In May 2023, the Committee of Clinical Practice Guidelines of the Korean Diabetes Association published the revised clinical practice guidelines for Korean adults with diabetes and prediabetes. We incorporated the latest clinical research findings through a comprehensive systematic literature review and applied them in a manner suitable for the Korean population. These guidelines are designed for all healthcare providers nationwide, including physicians, diabetes experts, and certified diabetes educators who manage patients with diabetes or individuals at risk of developing diabetes. Based on recent changes in international guidelines and the results of a Korean epidemiological study, the recommended age for diabetes screening has been lowered. In collaboration with the relevant Korean medical societies, recently revised guidelines for managing hypertension and dyslipidemia in patients with diabetes have been incorporated into this guideline. An abridgment containing practical information on patient education and systematic management in the clinic was published separately.

Citations

Citations to this article as recorded by  
  • Mortality in metabolic dysfunction-associated steatotic liver disease: A nationwide population-based cohort study
    Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Sang Hoon Ahn, Yong-ho Lee, Seung Up Kim
    Metabolism.2024; 152: 155789.     CrossRef
  • Letter by In-Kyung Jeong Regarding Article, Trends in Prevalence of Hypertriglyceridemia and Related Factors in Korean Adults: A Serial Cross-Sectional Study
    In-Kyung Jeong
    Journal of Lipid and Atherosclerosis.2024; 13(1): 80.     CrossRef
  • Association between cardiovascular disease risk and incident type 2 diabetes mellitus in individuals with prediabetes: A retrospective cohort study
    Myung Jin Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee
    Diabetes Research and Clinical Practice.2024; 208: 111125.     CrossRef
  • Korea Hypertension Fact Sheet 2023: analysis of nationwide population-based data with a particular focus on hypertension in special populations
    Hyeon Chang Kim, Hokyou Lee, Hyeok-Hee Lee, Dasom Son, Minsung Cho, Sojung Shin, Yeeun Seo, Eun-Jin kim, Song Vogue Ahn, Sun Ha Jee, Sungha Park, Hae-Young Lee, Min Ho Shin, Sang-Hyun Ihm, Seung Won Lee, Jong Ku Park, Il Suh, Tae-Yong Lee
    Clinical Hypertension.2024;[Epub]     CrossRef
  • Diabetes Duration, Cholesterol Levels, and Risk of Cardiovascular Diseases in Individuals With Type 2 Diabetes
    Mee Kyoung Kim, Kyu Na Lee, Kyungdo Han, Seung-Hwan Lee
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • Effect of Adding Apolipoprotein B Testing on the Prevalence of Dyslipidemia and Risk of Cardiovascular Disease in the Korean Adult Population
    Rihwa Choi, Sang Gon Lee, Eun Hee Lee
    Metabolites.2024; 14(3): 169.     CrossRef
  • A Self-powered and Supercapacitive Microneedle Continuous Glucose Monitoring System with a Wide Range of Glucose Detection Capabilities
    Hye-Jun Kil, Jang Hyeon Kim, Kanghae Lee, Tae-Uk Kang, Ju-Hyun Yoo, Yong-ho Lee, Jin-Woo Park
    Biosensors and Bioelectronics.2024; : 116297.     CrossRef
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Recommendations for Pharmacological Treatment of Type 2 Diabetes
    Junghyun Noh
    The Journal of Korean Diabetes.2023; 24(3): 127.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes
    Min Kyong Moon
    The Journal of Korean Diabetes.2023; 24(3): 120.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     CrossRef
  • A 33-Year-Old Man Presented with Abdominal Pain and Vomiting Starting a Day Ago
    Jong Han Choi
    The Korean Journal of Medicine.2023; 98(6): 289.     CrossRef
  • Comorbidity Patterns and Management in Inpatients with Endocrine Diseases by Age Groups in South Korea: Nationwide Data
    Sung-Soo Kim, Hun-Sung Kim
    Journal of Personalized Medicine.2023; 14(1): 42.     CrossRef
Original Article
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
  • 1,741 View
  • 190 Download
  • 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
Review
Pathophysiology
Renoprotective Mechanism of Sodium-Glucose Cotransporter 2 Inhibitors: Focusing on Renal Hemodynamics
Nam Hoon Kim, Nan Hee Kim
Diabetes Metab J. 2022;46(4):543-551.   Published online July 27, 2022
DOI: https://doi.org/10.4093/dmj.2022.0209
  • 6,285 View
  • 668 Download
  • 11 Web of Science
  • 11 Crossref
AbstractAbstract PDFPubReader   ePub   
Diabetic kidney disease (DKD) is a prevalent renal complication of diabetes mellitus that ultimately develops into end-stage kidney disease (ESKD) when not managed appropriately. Substantial risk of ESKD remains even with intensive management of hyperglycemia and risk factors of DKD and timely use of renin-angiotensin-aldosterone inhibitors. Sodium-glucose cotransporter 2 (SGLT2) inhibitors reduce hyperglycemia primarily by inhibiting glucose and sodium reabsorption in the renal proximal tubule. Currently, their effects expand to prevent or delay cardiovascular and renal adverse events, even in those without diabetes. In dedicated renal outcome trials, SGLT2 inhibitors significantly reduced the risk of composite renal adverse events, including the development of ESKD or renal replacement therapy, which led to the positioning of SGLT2 inhibitors as the mainstay of chronic kidney disease management. Multiple mechanisms of action of SGLT2 inhibitors, including hemodynamic, metabolic, and anti-inflammatory effects, have been proposed. Restoration of tubuloglomerular feedback is a plausible explanation for the alteration in renal hemodynamics induced by SGLT2 inhibition and for the associated renal benefit. This review discusses the clinical rationale and mechanism related to the protection SGLT2 inhibitors exert on the kidney, focusing on renal hemodynamic effects.

Citations

Citations to this article as recorded by  
  • Using intravoxel incoherent motion imaging to evaluate uric acid-induced renal injury and efficacy after treatment
    Zhong-Yuan Cheng, Shang-Ao Gong, Ping-Kang Chen, Zong-Chao Yu, Chen Qiu, Ji-Xin Lin, Jia-Bin Mo, Long Qian, You-Zhen Feng, Xiang-Ran Cai
    British Journal of Radiology.2024; 97(1153): 274.     CrossRef
  • Rethinking eGFR Comparisons in SGLT2 Inhibitor Research
    Yuzuru Ohshiro
    Journal of the American College of Cardiology.2024; 83(9): e87.     CrossRef
  • SGLT2 Inhibitors and Diabetes: Where Does It Come from and Where Does It Go?
    Ji Yoon Kim, Sin Gon Kim
    The Journal of Korean Diabetes.2024; 25(1): 9.     CrossRef
  • Baseline eGFR, albuminuria and renal outcomes in patients with SGLT2 inhibitor treatment: an updated meta-analysis
    Yunke Ma, Chu Lin, Xiaoling Cai, Suiyuan Hu, Xingyun Zhu, Fang Lv, Wenjia Yang, Linong Ji
    Acta Diabetologica.2023; 60(3): 435.     CrossRef
  • Effects of sodium-glucose cotransporter 2 inhibitors on renal risk factors in patients with abnormal glucose metabolism: a meta-analysis of randomized controlled trials
    Mengnan Li, Jian Zhang, Guimei Yang, Jiaxin Zhang, Minmin Han, Yi Zhang, Yunfeng Liu
    European Journal of Clinical Pharmacology.2023; 79(6): 859.     CrossRef
  • Age at Mortality in Patients with Type 2 Diabetes Who Underwent Kidney Transplantation: An Analysis of Data from the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
    Sun Ok Song, Eugene Han, Kang Ju Son, Bong-Soo Cha, Byung-Wan Lee
    Journal of Clinical Medicine.2023; 12(9): 3160.     CrossRef
  • Exposure–Response Analysis of the Sodium–Glucose Cotransporter-2 Inhibitors Dapagliflozin and Empagliflozin on Kidney Hemodynamics in Patients with Type 2 Diabetes
    Sjoukje van der Hoek, Jeroen V. Koomen, Erik J. M. van Bommel, Charlotte M. Mosterd, Rosalie A. Scholtes, Anne C. Hesp, Jasper Stevens, Daniel H. van Raalte, Hiddo J. L. Heerspink
    Journal of Personalized Medicine.2023; 13(5): 747.     CrossRef
  • Osteopontin as a Biomarker in Chronic Kidney Disease
    Satyesh K. Sinha, Michael Mellody, Maria Beatriz Carpio, Robert Damoiseaux, Susanne B. Nicholas
    Biomedicines.2023; 11(5): 1356.     CrossRef
  • Increased expression of sodium-glucose cotransporter 2 and O-GlcNAcylation in hepatocytes drives non-alcoholic steatohepatitis
    Hye Jin Chun, Eun Ran Kim, Minyoung Lee, Da Hyun Choi, Soo Hyun Kim, Eugene Shin, Jin-Hong Kim, Jin Won Cho, Dai Hoon Han, Bong-Soo Cha, Yong-ho Lee
    Metabolism.2023; 145: 155612.     CrossRef
  • Synthesis and biological profile of benzoxazolone derivatives
    Parteek Prasher, Tanisqa Mall, Mousmee Sharma
    Archiv der Pharmazie.2023;[Epub]     CrossRef
  • SGLT2 inhibitors prevent LPS-induced M1 macrophage polarization and alleviate inflammatory bowel disease by downregulating NHE1 expression
    Ye Jin Kim, Jonghwa Jin, Dong-Ho Kim, Daehoon Kim, You Mie Lee, Jun-Kyu Byun, Yeon-Kyung Choi, Keun-Gyu Park
    Inflammation Research.2023; 72(10-11): 1981.     CrossRef
Original Articles
Drug/Regimen
Safety and Effectiveness of Empagliflozin in Korean Patients with Type 2 Diabetes Mellitus: Results from a Nationwide Post-Marketing Surveillance
Jun Sung Moon, Nam Hoon Kim, Jin Oh Na, Jae Hyoung Cho, In-Kyung Jeong, Soon Hee Lee, Ji-Oh Mok, Nan Hee Kim, Dong Jin Chung, Jinhong Cho, Dong Woo Lee, Sun Woo Lee, Kyu Chang Won
Diabetes Metab J. 2023;47(1):82-91.   Published online June 20, 2022
DOI: https://doi.org/10.4093/dmj.2021.0356
  • 5,905 View
  • 295 Download
  • 2 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To evaluate the safety and effectiveness of empagliflozin in routine clinical settings, we collected and assessed the clinical profiles of Korean patients with type 2 diabetes mellitus.
Methods
This was a post-marketing surveillance study of empagliflozin 10 and 25 mg. Information on adverse events and adverse drug reactions (ADRs) was collected as safety data sets. Available effectiveness outcomes, including glycosylated hemoglobin (HbA1c) level, fasting plasma glucose, body weight, and blood pressure, were assessed.
Results
The incidence rate of ADRs was 5.14% in the safety dataset (n=3,231). Pollakiuria, pruritis genital, and weight loss were the most common ADRs. ADRs of special interest accounted for only 1.18%, and there were no serious events that led to mortality or hospitalization. In the effectiveness data set (n=2,567), empagliflozin significantly reduced the mean HbA1c level and body weight during the study period by –0.68%±1.39% and –1.91±3.37 kg (both P<0.0001), respectively. In addition, shorter disease duration, absence of dyslipidemia, and higher baseline HbA1c levels were identified as the clinical features characteristic of a “responder” to empagliflozin therapy.
Conclusion
Empagliflozin is a safe and potent glucose-lowering drug in routine use among Korean patients with type 2 diabetes mellitus. It is expected to have better glycemic efficacy in Korean patients with poorly controlled type 2 diabetes mellitus.

Citations

Citations to this article as recorded by  
  • Evaluation of Efficacy and Safety of Empagliflozin in Bangladeshi Patients with Type 2 Diabetes Mellitus (EFFISAEM Study)
    Mohammad Saifuddin, Ajit Kumar Paul, Sultana Marufa Shefin, Md. Jahangir Alam, Shahjada Selim, Sunjida Islam, Tanjina Hossain, Sadiqa Tuqan, Nusrat Sultana, Marufa Mustari, Ramen Chandra Basak, Kazi Ali Aftab, Indrajit Prasad, Mohammad Rafiq Uddin, Shoma
    Indian Journal of Endocrinology and Metabolism.2024;[Epub]     CrossRef
  • Comparison of the Pharmacokinetics, Safety, and Tolerability of Two Empagliflozin Formulations in Healthy Korean Subjects
    Xu Jiang, Sungyeun Bae, Deok Yong Yoon, Shin Jung Park, Jaeseong Oh, Joo-Youn Cho, Kyung-Sang Yu
    Drug Design, Development and Therapy.2023; Volume 17: 2137.     CrossRef
  • Comparative safety of different sodium-glucose transporter 2 inhibitors in patients with type 2 diabetes: a systematic review and network meta-analysis of randomized controlled trials
    Chun Xing Li, Li Yan Liu, Chen Xiao Zhang, Xu Hua Geng, Si Meng Gu, Yu Qiao Wang, Hua Liu, Qing Xie, Shuo Liang
    Frontiers in Endocrinology.2023;[Epub]     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
  • 5,549 View
  • 253 Download
  • 6 Web of Science
  • 6 Crossref
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
  • 5,218 View
  • 255 Download
  • 1 Web of Science
  • 1 Crossref
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

Citations to this article as recorded by  
  • 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
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
  • 3,804 View
  • 99 Download
  • 2 Crossref
PDFPubReader   ePub   

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 Articles
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
  • 9,330 View
  • 342 Download
  • 17 Web of Science
  • 19 Crossref
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

Citations to this article as recorded by  
  • 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
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
  • 7,390 View
  • 236 Download
  • 3 Web of Science
  • 5 Crossref
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

Citations to this article as recorded by  
  • 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
  • 7,758 View
  • 196 Download
  • 31 Web of Science
  • 32 Crossref
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.

Citations

Citations to this article as recorded by  
  • 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
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
  • 4,850 View
  • 70 Download
  • 12 Web of Science
  • 14 Crossref
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

Citations to this article as recorded by  
  • 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
    停停 陈
    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
Epidemiology
Ten-Year Mortality Trends for Adults with and without Diabetes Mellitus in South Korea, 2003 to 2013
Kyeong Jin Kim, Tae Yeon Kwon, Sungwook Yu, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Dong Seop Choi, Sin Gon Kim, Yousung Park, Nam Hoon Kim
Diabetes Metab J. 2018;42(5):394-401.   Published online April 26, 2018
DOI: https://doi.org/10.4093/dmj.2017.0088
  • 4,797 View
  • 58 Download
  • 25 Web of Science
  • 30 Crossref
AbstractAbstract PDFPubReader   
Background

To estimate and compare the trends of all-cause and cause-specific mortality rates for subjects with and without diabetes in South Korea, from 2003 to 2013.

Methods

Using a population-based cohort (2003 to 2013), we evaluated annual mortality rates in adults (≥30 years) with and without diabetes. The number of subjects in this analysis ranged from 585,795 in 2003 to 670,020 in 2013.

Results

Age- and sex-adjusted all-cause mortality rates decreased consistently in both groups from 2003 to 2013 (from 14.4 to 9.3/1,000 persons in subjects with diabetes and from 7.9 to 4.4/1,000 persons in those without diabetes). The difference in mortality rates between groups also decreased (6.61 per 1,000 persons in 2003 to 4.98 per 1,000 persons in 2013). The slope associated with the mortality rate exhibited a steeper decrease in subjects with diabetes than those without diabetes (regression coefficients of time: −0.50 and −0.33, respectively; P=0.004). In subjects with diabetes, the mortality rate from cardiovascular disease decreased by 53.5% (from 2.73 to 1.27 per 1,000 persons, P for trend <0.001). Notably, the decrease in mortality from ischemic stroke (79.2%, from 1.20 to 0.25 per 1,000 persowns) was more profound than that from ischemic heart disease (28.3%, from 0.60 to 0.43 per 1,000 persons).

Conclusion

All-cause and cardiovascular mortality rates decreased substantially from 2003 to 2013, and the decline in ischemic stroke mortality mainly contributed to the decreased cardiovascular mortality in Korean people with diabetes.

Citations

Citations to this article as recorded by  
  • Green tea consumption and incidence of cardiovascular disease in type 2 diabetic patients with overweight/obesity: a community-based cohort study
    Bingyue Liu, Shujun Gu, Jin Zhang, Hui Zhou, Jian Su, Sudan Wang, Qian Sun, Zhengyuan Zhou, Jinyi Zhou, Chen Dong
    Archives of Public Health.2024;[Epub]     CrossRef
  • Trends in all-cause and cause-specific mortality in older adults with and without diabetes: A territory-wide analysis in one million older adults in Hong Kong
    Aimin Yang, Tingting Chen, Mai Shi, Eric Lau, Raymond SM Wong, Jones Chan, Juliana CN Chan, Elaine Chow
    Diabetes Research and Clinical Practice.2024; 210: 111618.     CrossRef
  • Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Journal of Lipid and Atherosclerosis.2023; 12(1): 12.     CrossRef
  • Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 1.     CrossRef
  • Letter: Triglyceride-Glucose Index Predicts Cardiovascular Outcome in Metabolically Unhealthy Obese Population: A Nationwide Population-Based Cohort Study (J Obes Metab Syndr 2022;31:178-86)
    Gwanpyo Koh
    Journal of Obesity & Metabolic Syndrome.2023; 32(2): 179.     CrossRef
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     CrossRef
  • The Characteristics and Risk of Mortality in the Elderly Korean Population
    Sunghwan Suh
    Endocrinology and Metabolism.2023; 38(5): 522.     CrossRef
  • Current Status of Low-Density Lipoprotein Cholesterol Target Achievement in Patients with Type 2 Diabetes Mellitus in Korea Compared with Recent Guidelines
    Soo Jin Yun, In-Kyung Jeong, Jin-Hye Cha, Juneyoung Lee, Ho Chan Cho, Sung Hee Choi, SungWan Chun, Hyun Jeong Jeon, Ho-Cheol Kang, Sang Soo Kim, Seung-Hyun Ko, Gwanpyo Koh, Su Kyoung Kwon, Jae Hyuk Lee, Min Kyong Moon, Junghyun Noh, Cheol-Young Park, Sung
    Diabetes & Metabolism Journal.2022; 46(3): 464.     CrossRef
  • Health-related Quality of Life Instrument With 8 Items for Use in Patients With Type 2 Diabetes Mellitus: A Validation Study in Korea
    Juyoung Kim, Hyeon-Jeong Lee, Min-Woo Jo
    Journal of Preventive Medicine and Public Health.2022; 55(3): 234.     CrossRef
  • Improvement in Age at Mortality and Changes in Causes of Death in the Population with Diabetes: An Analysis of Data from the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
    Eugene Han, Sun Ok Song, Hye Soon Kim, Kang Ju Son, Sun Ha Jee, Bong-Soo Cha, Byung-Wan Lee
    Endocrinology and Metabolism.2022; 37(3): 466.     CrossRef
  • Renoprotective Mechanism of Sodium-Glucose Cotransporter 2 Inhibitors: Focusing on Renal Hemodynamics
    Nam Hoon Kim, Nan Hee Kim
    Diabetes & Metabolism Journal.2022; 46(4): 543.     CrossRef
  • Diabetic Ketoacidosis and COVID-19: A Retrospective Observational Study
    Govind Nagdev, Gajanan Chavan, Charuta Gadkari, Gaurav Sahu
    Cureus.2022;[Epub]     CrossRef
  • Trends in the effects of pre‐transplant diabetes on mortality and cardiovascular events after kidney transplantation
    Ja Young Jeon, Soo Jung Kim, Kyoung Hwa Ha, Ji Hyun Park, Bumhee Park, Chang‐Kwon Oh, Seung Jin Han
    Journal of Diabetes Investigation.2021; 12(5): 811.     CrossRef
  • Acute Hyperglycemic Crises with Coronavirus Disease-19: Case Reports
    Na-young Kim, Eunyeong Ha, Jun Sung Moon, Yong-Hoon Lee, Eun Young Choi
    Diabetes & Metabolism Journal.2020; 44(2): 349.     CrossRef
  • Polysomnographic phenotyping of obstructive sleep apnea and its implications in mortality in Korea
    Jeong-Whun Kim, Tae-Bin Won, Chae-Seo Rhee, Young Mi Park, In-Young Yoon, Sung-Woo Cho
    Scientific Reports.2020;[Epub]     CrossRef
  • Peripheral arterial endothelial dysfunction predicts future cardiovascular events in diabetic patients with albuminuria: a prospective cohort study
    Bo Kyung Koo, Woo-Young Chung, Min Kyong Moon
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Metformin treatment for patients with diabetes and chronic kidney disease: A Korean Diabetes Association and Korean Society of Nephrology consensus statement
    Kyu Yeon Hur, Mee Kyoung Kim, Seung Hyun Ko, Miyeun Han, Dong Won Lee, Hyuk-Sang Kwon
    Kidney Research and Clinical Practice.2020; 39(1): 32.     CrossRef
  • Outcomes for Inappropriate Renal Dose Adjustment of Dipeptidyl Peptidase-4 Inhibitors in Patients With Type 2 Diabetes Mellitus: Population-Based Study
    Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Mayo Clinic Proceedings.2020; 95(1): 101.     CrossRef
  • Metformin Treatment for Patients with Diabetes and Chronic Kidney Disease: A Korean Diabetes Association and Korean Society of Nephrology Consensus Statement
    Kyu Yeon Hur, Mee Kyoung Kim, Seung Hyun Ko, Miyeun Han, Dong Won Lee, Hyuk-Sang Kwon
    Diabetes & Metabolism Journal.2020; 44(1): 3.     CrossRef
  • A systematic review of trends in all-cause mortality among people with diabetes
    Lei Chen, Rakibul M. Islam, Joanna Wang, Thomas R. Hird, Meda E. Pavkov, Edward W. Gregg, Agus Salim, Maryam Tabesh, Digsu N. Koye, Jessica L. Harding, Julian W. Sacre, Elizabeth L. M. Barr, Dianna J. Magliano, Jonathan E. Shaw
    Diabetologia.2020; 63(9): 1718.     CrossRef
  • Diabetic ketoacidosis precipitated by COVID-19: A report of two cases and review of literature
    Pavan Kumar Reddy, Mohammad Shafi Kuchay, Yatin Mehta, Sunil Kumar Mishra
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2020; 14(5): 1459.     CrossRef
  • Prognostic value of long-term gamma-glutamyl transferase variability in individuals with diabetes: a nationwide population-based study
    Da Young Lee, Kyungdo Han, Ji Hee Yu, Sanghyun Park, Ji A Seo, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Seon Mee Kim, Kyung Mook Choi, Sei Hyun Baik, Yong Gyu Park, Nan Hee Kim
    Scientific Reports.2020;[Epub]     CrossRef
  • Arterial stiffness is an independent predictor for risk of mortality in patients with type 2 diabetes mellitus: the REBOUND study
    Jeong Mi Kim, Sang Soo Kim, In Joo Kim, Jong Ho Kim, Bo Hyun Kim, Mi Kyung Kim, Soon Hee Lee, Chang Won Lee, Min Chul Kim, Jun Hyeob Ahn, Jinmi Kim
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • The triglyceride glucose index is a simple and low-cost marker associated with atherosclerotic cardiovascular disease: a population-based study
    Sangmo Hong, Kyungdo Han, Cheol-Young Park
    BMC Medicine.2020;[Epub]     CrossRef
  • Increased Age of Death and Change in Causes of Death Among Persons With Diabetes Mellitus From the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
    Eugene Han, Sun Ok Song, Hye Soon Kim, Kang Ju Son, Sun Ha Jee, Bong-Soo Cha, Byung-Wan Lee
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Letter: Comparison of the Efficacy of Rosuvastatin Monotherapy 20 mg with Rosuvastatin 5 mg and Ezetimibe 10 mg Combination Therapy on Lipid Parameters in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2019;43:582–9)
    Tae Seo Sohn
    Diabetes & Metabolism Journal.2019; 43(6): 909.     CrossRef
  • Diabetes Mellitus, Still Major Threat to Mortality from Various Causes
    Nam Hoon Kim
    Diabetes & Metabolism Journal.2019; 43(3): 273.     CrossRef
  • Diabetes and Cancer: Cancer Should Be Screened in Routine Diabetes Assessment
    Sunghwan Suh, Kwang-Won Kim
    Diabetes & Metabolism Journal.2019; 43(6): 733.     CrossRef
  • Trends of Diabetes Epidemic in Korea
    Ji Cheol Bae
    Diabetes & Metabolism Journal.2018; 42(5): 377.     CrossRef
Current Status of Glycemic Control of Patients with Diabetes in Korea: The Fifth Korea National Health and Nutrition Examination Survey
Ja Young Jeon, Dae Jung Kim, Seung-Hyun Ko, Hyuk-Sang Kwon, Soo Lim, Sung Hee Choi, Chul Sik Kim, Jee Hyun An, Nan Hee Kim, Jong Chul Won, Jae Hyeon Kim, Bong-Yun Cha, Kee-Ho Song
Diabetes Metab J. 2014;38(3):197-203.   Published online June 17, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.3.197
  • 4,517 View
  • 56 Download
  • 45 Web of Science
  • 49 Crossref
AbstractAbstract PDFPubReader   
Background

The Korea National Health and Nutrition Examination Survey (KNHANES) III (2005) reported that 22.9% of individuals with diabetes have a glycated hemoglobin (HbA1c) <6.5% and that 43.5% have an HbA1c <7%. We investigated the levels of glycemic control and the factors associated with glycemic control using data from the KNHANES V (2010 to 2012).

Methods

Subjects with diabetes diagnosed by a physician or those taking antidiabetic medications were classified as individuals with known diabetes. Of 1,498 subjects aged ≥30 years with diabetes, we excluded 157 individuals who were missing HbA1c data. A total of 1,341 subjects were included in the final analysis.

Results

The prevalence of known diabetes was 7.7% (n=1,498, estimated to be 2.32 million people). The proportions of well-controlled diabetes meeting a HbA1c goal of <6.5% and <7% were 27% and 45.6%, respectively. HbA1c increased as the duration of diabetes increased. HbA1c in subjects with a duration of diabetes ≤5 years was lower than in subjects with a duration >5 years. HbA1c in the group taking only oral hypoglycemic agents (OHAs) was significantly lower than that in the group administered only insulin or OHA and insulin in combination. In logistic regression analysis, a longer duration of diabetes, insulin use and the absence of chronic renal failure were associated with HbA1c levels >6.5%.

Conclusion

The level of adequate glycemic control was similar to but slightly improved compared with previous levels. The glycemic control of long-standing diabetes patients is more difficult even though they receive insulin treatment.

Citations

Citations to this article as recorded by  
  • Therapeutic Effects of Switching to Anagliptin from Other DPP-4 Inhibitors in T2DM Patients with Inadequate Glycemic Control: A Non-interventional, Single-Arm, Open-Label, Multicenter Observational Study
    Sang-Yong Kim, Sungrae Kim
    Diabetes Therapy.2023; 14(1): 109.     CrossRef
  • Declined incidence of patients treated for vision-threatening diabetic retinopathy in South Korea: a 12-year nationwide population-based study
    Jiwon Kim, Hyojin Seong, Kang Ju Son, Eun Jee Chung
    Graefe's Archive for Clinical and Experimental Ophthalmology.2022; 260(1): 101.     CrossRef
  • Glycemic status and general characteristics among individuals with undiagnosed diabetes; findings from second National Diabetes Survey of Pakistan 2016–2017 (NDSP 08)
    Abdul Basit, Nazish Waris, Asher Fawwad, Bilal Tahir, Iftikhar Ahmed Siddiqui, Mujeeb Ur Rehman Abro, Khawaja Ishfaq Ahmed, Khurshid Ahmed, Sobia Sabir Ali, Ahmed Bilal, Anam Butt, Bikha Ram Devrajani, Ijaz Hayder, Yasir Humayun, Rabia Irshad, Riasat Ali
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2022; 16(6): 102535.     CrossRef
  • Glycemic control and its determinants among people with type 2 diabetes mellitus in Ernakulam district, Kerala
    ShanaShirin Najeeb, TeenaMary Joy, Aswathy Sreedevi, K Vijayakumar
    Indian Journal of Public Health.2022; 66(5): 80.     CrossRef
  • C-peptide level as predictor of type 2 diabetes remission and body composition changes in non-diabetic and diabetic patients after Roux-en-Y gastric bypass
    Roberto de Cleva, Flavio Kawamoto, Georgia Borges, Priscila Caproni, Alex Jones Flores Cassenote, Marco Aurelio Santo
    Clinics.2021; 76: e2906.     CrossRef
  • Inadequate achievement of ABC goals (HbA1c, blood pressure, LDL-C) among patients with type 2 diabetes in an Iranian population, 2012–2017
    Mehrdad Larry, Saeid Alizadeh, Sina Naderi, Bahareh Salekani, Mohammad Ali Mansournia, Soghra Rabizadeh, Alireza Esteghamati, Manouchehr Nakhjavani
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2020; 14(4): 619.     CrossRef
  • Site-specific cancer risk in patients with type 2 diabetes: a nationwide population-based cohort study in Korea
    Suk Kyeong Kim, Ju-Young Jang, Dong-Lim Kim, Young A Rhyu, Suh Eun Lee, Seung-Hyun Ko, Kyungdo Han, Kee-Ho Song
    The Korean Journal of Internal Medicine.2020; 35(3): 641.     CrossRef
  • The development of oral semaglutide, an oral GLP-1 analog, for the treatment of type 2 diabetes
    Mads Frederik Rasmussen
    Diabetology International.2020; 11(2): 76.     CrossRef
  • An Assessment of Pharmacokinetic Interaction Between Lobeglitazone and Sitagliptin After Multiple Oral Administrations in Healthy Men
    Seol Ju Moon, Kyung-Sang Yu, Min-Gul Kim
    Clinical Therapeutics.2020; 42(6): 1047.     CrossRef
  • Nationwide Trends in Pancreatitis and Pancreatic Cancer Risk Among Patients With Newly Diagnosed Type 2 Diabetes Receiving Dipeptidyl Peptidase 4 Inhibitors
    Minyoung Lee, Jiyu Sun, Minkyung Han, Yongin Cho, Ji-Yeon Lee, Chung Mo Nam, Eun Seok Kang
    Diabetes Care.2019; 42(11): 2057.     CrossRef
  • Factors Influencing Glycemic Control among Type 2 Diabetes Mellitus Patients: The Sixth Korea National Health and Nutrition Examination Survey (2013~2015)
    Mee Ock Gu
    Korean Journal of Adult Nursing.2019; 31(3): 235.     CrossRef
  • Trends in metabolic risk factors among patients with diabetes mellitus according to income levels: the Korea National Health and Nutrition Examination Surveys 1998 ~ 2014
    Sukyung Cho, Kyong Park
    Journal of Nutrition and Health.2019; 52(2): 206.     CrossRef
  • Current status of treatment of type 2 diabetes mellitus in Ningbo, China
    Tianmeng Yang, Rongjiong Zheng, Qingmei Chen, Yushan Mao
    Journal of Clinical Laboratory Analysis.2019;[Epub]     CrossRef
  • Trends in the prevalence and management of diabetes in Korea: 2007-2017
    Ji-Yeon Shin
    Epidemiology and Health.2019; 41: e2019029.     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
  • A new comprehensive diabetes health literacy scale: Development and psychometric evaluation
    Eun-Hyun Lee, Young Whee Lee, Kwan-Woo Lee, Moonsuk Nam, So Hun Kim
    International Journal of Nursing Studies.2018; 88: 1.     CrossRef
  • Women are less likely than men to achieve optimal glycemic control after 1 year of treatment: A multi-level analysis of a Korean primary care cohort
    Seung-Ah Choe, Joo Yeong Kim, Young Sun Ro, Sung-Il Cho, Antonio Palazón-Bru
    PLOS ONE.2018; 13(5): e0196719.     CrossRef
  • Ten-Year Mortality Trends for Adults with and without Diabetes Mellitus in South Korea, 2003 to 2013
    Kyeong Jin Kim, Tae Yeon Kwon, Sungwook Yu, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Dong Seop Choi, Sin Gon Kim, Yousung Park, Nam Hoon Kim
    Diabetes & Metabolism Journal.2018; 42(5): 394.     CrossRef
  • Comparison of Adherence to Glimepiride/Metformin Sustained Release Once-daily Versus Glimepiride/Metformin Immediate Release BID Fixed-combination Therapy Using the Medication Event Monitoring System in Patients With Type 2 Diabetes
    Jong-Dai Kim, Cheol-Young Park, Bong-Yun Cha, Kyu Jeung Ahn, In Joo Kim, Kyong Soo Park, Hyung Woo Lee, Kyung-Wan Min, Jong Chul Won, Min Young Chung, Jae-Taek Kim, Jun Goo Kang, Sung-Woo Park
    Clinical Therapeutics.2018; 40(5): 752.     CrossRef
  • Negative Association of Hepatitis B Virus With Hearing Impairment
    SKM Azizul Islam, Jin Wook Chung, Young-Sil Lee, HoChan Cho, Seong-Su Moon
    American Journal of Audiology.2018; 27(3): 324.     CrossRef
  • The effectiveness, reproducibility, and durability of tailored mobile coaching on diabetes management in policyholders: A randomized, controlled, open-label study
    Da Young Lee, Jeongwoon Park, Dooah Choi, Hong-Yup Ahn, Sung-Woo Park, Cheol-Young Park
    Scientific Reports.2018;[Epub]     CrossRef
  • Prediction of Type 2 Diabetes Remission after Bariatric or Metabolic Surgery
    Ji Yeon Park
    Journal of Obesity & Metabolic Syndrome.2018; 27(4): 213.     CrossRef
  • Past and Current Status of Adult Type 2 Diabetes Mellitus Management in Korea: A National Health Insurance Service Database Analysis
    Seung-Hyun Ko, Kyungdo Han, Yong-ho Lee, Junghyun Noh, Cheol-Young Park, Dae-Jung Kim, Chang Hee Jung, Ki-Up Lee, Kyung-Soo Ko
    Diabetes & Metabolism Journal.2018; 42(2): 93.     CrossRef
  • Prediction of Diabetes Remission after Bariatric or Metabolic Surgery
    Ji Yeon Park
    Journal of Metabolic and Bariatric Surgery.2018; 7(1): 22.     CrossRef
  • Detrimental Effects of Higher Body Mass Index and Smoking Habits on Menstrual Cycles in Korean Women
    An Na Jung, Ju Hwan Park, Jihyun Kim, Seok Hyun Kim, Byung Chul Jee, Byung Heun Cha, Jae Woong Sull, Jin Hyun Jun
    Journal of Women's Health.2017; 26(1): 83.     CrossRef
  • Improved trends in cardiovascular complications among subjects with type 2 diabetes in Korea: a nationwide study (2006–2013)
    Chang Hee Jung, Jin Ook Chung, Kyungdo Han, Seung-Hyun Ko, Kyung Soo Ko, Joong-Yeol Park
    Cardiovascular Diabetology.2017;[Epub]     CrossRef
  • The differences in the incidence of diabetes mellitus and prediabetes according to the type of HMG-CoA reductase inhibitors prescribed in Korean patients
    Tong Min Kim, Hyunah Kim, Yoo Jin Jeong, Sun Jung Baik, So Jung Yang, Seung-Hwan Lee, Jae-Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun-Ho Yoon, Hun-Sung Kim
    Pharmacoepidemiology and Drug Safety.2017; 26(10): 1156.     CrossRef
  • Euglycemic Diabetic Ketoacidosis When Reducing Insulin Dosage in Patients Taking Sodium Glucose Cotransporter 2 Inhibitor
    Woo Jin Yi, Soo-Kyung Kim, Sun Ung Youn, Namkyu Kang, Myung Won Lee, Seok O Park
    The Ewha Medical Journal.2017; 40(1): 55.     CrossRef
  • Effectiveness of Vildagliptin in Clinical Practice: Pooled Analysis of Three Korean Observational Studies (the VICTORY Study)
    Sunghwan Suh, Sun Ok Song, Jae Hyeon Kim, Hyungjin Cho, Woo Je Lee, Byung-Wan Lee
    Journal of Diabetes Research.2017; 2017: 1.     CrossRef
  • Prevalence and risk factors for reduced pulmonary function in diabetic patients: The Korea National Health and Nutrition Examination Survey
    Hee Yeon Kim, Tae Seo Sohn, Hannah Seok, Chang Dong Yeo, Young Soo Kim, Jae Yen Song, Young Bok Lee, Dong-Hee Lee, Jae-Im Lee, Tae-Kyu Lee, Seong Cheol Jeong, Mihee Hong, Hiun Suk Chae
    The Korean Journal of Internal Medicine.2017; 32(4): 682.     CrossRef
  • Delay of insulin initiation in patients with type 2 diabetes mellitus inadequately controlled with oral hypoglycemic agents (analysis of patient‐ and physician‐related factors): A prospective observational DIPP‐FACTOR study in Korea
    Sin Gon Kim, Nam Hoon Kim, Bon Jeong Ku, Ho Sang Shon, Doo Man Kim, Tae Sun Park, Yong‐Seong Kim, In Joo Kim, Dong Seop Choi
    Journal of Diabetes Investigation.2017; 8(3): 346.     CrossRef
  • Effectiveness and safety of exenatide in Korean patients with type 2 diabetes inadequately controlled with oral hypoglycemic agents: an observational study in a real clinical practice
    You-Cheol Hwang, Ari Kim, Euna Jo, Yeoree Yang, Jae-Hyoung Cho, Byung-Wan Lee
    BMC Endocrine Disorders.2017;[Epub]     CrossRef
  • Current status of managing diabetes mellitus in Korea
    Kyoung Hwa Ha, Dae Jung Kim
    The Korean Journal of Internal Medicine.2016; 31(5): 845.     CrossRef
  • Trends of antidiabetic drug use in adult type 2 diabetes in Korea in 2002–2013
    Seung-Hyun Ko, Dae-Jung Kim, Jong-Heon Park, Cheol-Young Park, Chang Hee Jung, Hyuk-Sang Kwon, Joong-Yeol Park, Kee-Ho Song, Kyungdo Han, Ki-Up Lee, Kyung-Soo Ko
    Medicine.2016; 95(27): e4018.     CrossRef
  • A patient-centric approach to optimise insulin therapy in Asia
    Su Yen Goh, Ernesto Ang, Shailendra Bajpai, Chaicharn Deerochanawong, Eun-Gyoung Hong, Zanariah Hussein, Shashank Joshi, Nor Azmi Kamaruddin, Sjoberg Kho, Alice Pik-Shan Kong, Chang Yu Pan, Riccardo Perfetti, Apichati Vichayanrat, Aleksandra Vlajnic, Juli
    Journal of Diabetes and its Complications.2016; 30(6): 973.     CrossRef
  • Association between blood glucose level derived using the oral glucose tolerance test and glycated hemoglobin level
    Hyoung Joo Kim, Young Geon Kim, Jin Soo Park, Young Hwan Ahn, Kyoung Hwa Ha, Dae Jung Kim
    The Korean Journal of Internal Medicine.2016; 31(3): 535.     CrossRef
  • Social Networking Services-Based Communicative Care for Patients with Diabetes Mellitus in Korea
    Hun-Sung Kim, Yoo Jeong, Sun Baik, So Yang, Tong Kim, Hyunah Kim, Hyunyong Lee, Seung-Hwan Lee, Jae Cho, In-Young Choi, Kun-Ho Yoon
    Applied Clinical Informatics.2016; 07(03): 899.     CrossRef
  • Factors Associated with Poor Glycemic Control among Patients with Type 2 Diabetes Mellitus: The Fifth Korea National Health and Nutrition Examination Survey (2010-2012)
    Jinhyun Park, Seungji Lim, Eunshil Yim, Youngdae Kim, Woojin Chung
    Health Policy and Management.2016; 26(2): 125.     CrossRef
  • Reduction of Sulfonylurea with the Initiation of Basal Insulin in Patients with Inadequately Controlled Type 2 Diabetes Mellitus Undergoing Long-Term Sulfonylurea-Based Treatment
    Yeoree Yang, Jeong-Ah Shin, Hae Kyung Yang, Seung-Hwan Lee, Seung-Hyun Ko, Yu-Bae Ahn, Kun-Ho Yoon, Jae-Hyoung Cho
    Diabetes & Metabolism Journal.2016; 40(6): 454.     CrossRef
  • Health inequalities in hypertension and diabetes management among the poor in urban areas: a population survey analysis in south Korea
    Young-Jee Jeon, Chung Reen Kim, Joo-Sung Park, Kyung-Hyun Choi, Myoung Joo Kang, Seung Guk Park, Young-Jin Park
    BMC Public Health.2016;[Epub]     CrossRef
  • Prediction of Diabetes Remission in Morbidly Obese Patients After Roux-en-Y Gastric Bypass
    Ji Yeon Park, Yong Jin Kim
    Obesity Surgery.2016; 26(4): 749.     CrossRef
  • Inhibition of advanced glycation end product formation by burdock root extract
    Darye Lee, Choon Young Kim
    Journal of Nutrition and Health.2016; 49(4): 233.     CrossRef
  • Diabetes in Asians
    Eun-Jung Rhee
    Endocrinology and Metabolism.2015; 30(3): 263.     CrossRef
  • Insulin Initiation in Insulin-Naïve Korean Type 2 Diabetic Patients Inadequately Controlled on Oral Antidiabetic Drugs in Real-World Practice: The Modality of Insulin Treatment Evaluation Study
    Sang Soo Kim, In Joo Kim, Yong Ki Kim, Kun Ho Yoon, Ho Young Son, Sung Woo Park, Yeon Ah Sung, Hong Sun Baek
    Diabetes & Metabolism Journal.2015; 39(6): 481.     CrossRef
  • Current status of glucose, blood pressure and lipid management in type 2 diabetes clinic attendees in Isfahan, Iran
    Mohsen Janghorbani, Bahman Papi, Masoud Amini
    Journal of Diabetes Investigation.2015; 6(6): 716.     CrossRef
  • Trends in the Diabetes Epidemic in Korea
    Kyoung Hwa Ha, Dae Jung Kim
    Endocrinology and Metabolism.2015; 30(2): 142.     CrossRef
  • The Side Effects of Sodium Glucose Cotransporter 2 (SGLT2) Inhibitor
    Won Jin Kim, Sang Soo Kim
    The Journal of Korean Diabetes.2014; 15(3): 158.     CrossRef
  • It's Still Not Too Late to Make a Change: Current Status of Glycemic Control in Korea
    Sang Yong Kim
    Diabetes & Metabolism Journal.2014; 38(3): 194.     CrossRef
  • Association between Diabetes Education Status and Clinical Outcomes of Patients with Diabetes Mellitus: Analysis of the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V)
    Jun Sung Kwon, Won Jun Kim, Yang Hee Han, Hyun Joong Kim, Sa Young Shin, Kyoo Ho Choi, Jae Hyuck Jun, Myoung Sook Shim, Jin Yeob Kim
    The Journal of Korean Diabetes.2014; 15(4): 236.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal