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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
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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

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  • 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 Articles
Metabolic Risk/Epidemiology
Prediabetes Progression and Regression on Objectively- Measured Physical Function: A Prospective Cohort Study
Shanhu Qiu, Yiming Zhu, Bo Xie, Wenji Chen, Duolao Wang, Xue Cai, Zilin Sun, Tongzhi Wu
Diabetes Metab J. 2023;47(6):859-868.   Published online August 23, 2023
DOI: https://doi.org/10.4093/dmj.2022.0377
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Prediabetes leads to declines in physical function in older adults, but the impact of prediabetes progression or regression on physical function is unknown. This study assessed this longitudinal association, with physical function objectivelymeasured by grip strength, walking speed, and standing balance, based on the Health and Retirement Study enrolling United States adults aged >50 years.
Methods
Participants with prediabetes were followed-up for 4-year to ascertain prediabetes status alteration (maintained, regressed, or progressed), and another 4-year to assess their impacts on physical function. Weak grip strength was defined as <26 kg for men and <16 kg for women, slow walking speed was as <0.8 m/sec, and poor standing balance was as an uncompleted fulltandem standing testing. Logistic and linear regression analyses were performed.
Results
Of the included 1,511 participants with prediabetes, 700 maintained as prediabetes, 306 progressed to diabetes, and 505 regressed to normoglycemia over 4 years. Grip strength and walking speed were declined from baseline during the 4-year followup, regardless of prediabetes status alteration. Compared with prediabetes maintenance, prediabetes progression increased the odds of developing weak grip strength by 89% (95% confidence interval [CI], 0.04 to 2.44) and exhibited larger declines in grip strength by 0.85 kg (95% CI, –1.65 to –0.04). However, prediabetes progression was not related to impairments in walking speed or standing balance. Prediabetes regression also did not affect any measures of physical function.
Conclusion
Prediabetes progression accelerates grip strength decline in aging population, while prediabetes regression may not prevent physical function decline due to aging.
Complications
The Risk of Shoulder Adhesive Capsulitis in Individuals with Prediabetes and Type 2 Diabetes Mellitus: A Longitudinal Nationwide Population-Based Study
Jong-Ho Kim, Bong-Seoung Kim, Kyung-do Han, Hyuk-Sang Kwon
Diabetes Metab J. 2023;47(6):869-878.   Published online August 23, 2023
DOI: https://doi.org/10.4093/dmj.2022.0275
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AbstractAbstract PDFPubReader   ePub   
Background
This study aimed to investigate the association between type 2 diabetes mellitus (T2DM) and shoulder adhesive capsulitis (AC) using a large-scale, nationwide, population-based cohort in the Republic of Korea.
Methods
A total of 3,471,745 subjects aged over 20 years who underwent a National Health Insurance Service medical checkup between 2009 and 2010 were included in this study, and followed from the date of their medical checkup to the end of 2018. Subjects were classified into the following four groups based on the presence of dysglycemia and history of diabetes medication: normal, prediabetes, newly diagnosed T2DM (new-T2DM), and T2DM (claim history for antidiabetic medication). The endpoint was new-onset AC during follow-up. The incidence rates (IRs) in 1,000 person-years and hazard ratios (HRs) of AC for each group were analyzed using Cox proportional hazard regression models.
Results
The IRs of AC were 9.453 (normal), 11.912 (prediabetes), 14.933 (new-T2DM), and 24.3761 (T2DM). The adjusted HRs of AC in the prediabetes, new-T2DM, and T2DM groups were 1.084 (95% confidence interval [CI], 1.075 to 1.094), 1.312 (95% CI, 1.287 to 1.337), and 1.473 (95% CI, 1.452 to 1.494) compared to the normal group, respectively. This secular trend of the HRs of AC according to T2DM status was statistically significant (P<0.0001).
Conclusion
This large-scale, longitudinal, nationwide, population-based cohort study of 3,471,745 subjects confirmed that the risk of AC increases in prediabetic subjects and is associated with T2DM status.
Review
Guideline/Fact Sheet
Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022
Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon, on Behalf of the Committee of Clinical Practice Guideline of Korean Diabetes Association
Diabetes Metab J. 2022;46(6):819-826.   Published online November 24, 2022
DOI: https://doi.org/10.4093/dmj.2022.0364
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AbstractAbstract PDFPubReader   ePub   
Diabetes screening serves to identify individuals at high-risk for diabetes who have not yet developed symptoms and to diagnose diabetes at an early stage. Globally, the prevalence of diabetes is rapidly increasing. Furthermore, obesity and/or abdominal obesity, which are major risk factors for type 2 diabetes mellitus (T2DM), are progressively increasing, particularly among young adults. Many patients with T2DM are asymptomatic and can accompany various complications at the time of diagnosis, as well as chronic complications develop as the duration of diabetes increases. Thus, proper screening and early diagnosis are essential for diabetes care. Based on reports on the changing epidemiology of diabetes and obesity in Korea, as well as growing evidence from new national cohort studies on diabetes screening, the Korean Diabetes Association has updated its clinical practice recommendations regarding T2DM screening. Diabetes screening is now recommended in adults aged ≥35 years regardless of the presence of risk factors, and in all adults (aged ≥19) with any of the risk factors. Abdominal obesity based on waist circumference (men ≥90 cm, women ≥85 cm) was added to the list of risk factors.

Citations

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  • Oxidative Balance Score and New-Onset Type 2 Diabetes Mellitus in Korean Adults without Non-Alcoholic Fatty Liver Disease: Korean Genome and Epidemiology Study-Health Examinees (KoGES-HEXA) Cohort
    Mid-Eum Moon, Dong Hyuk Jung, Seok-Jae Heo, Byoungjin Park, Yong Jae Lee
    Antioxidants.2024; 13(1): 107.     CrossRef
  • Efficacy and Safety of Once-Weekly Semaglutide Versus Once-Daily Sitagliptin as Metformin Add-on in a Korean Population with Type 2 Diabetes
    Byung-Wan Lee, Young Min Cho, Sin Gon Kim, Seung-Hyun Ko, Soo Lim, Amine Dahaoui, Jin Sook Jeong, Hyo Jin Lim, Jae Myung Yu
    Diabetes Therapy.2024; 15(2): 547.     CrossRef
  • Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers
    Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Mi Sook Yun, Yang Ho Kang
    Diabetes Research and Clinical Practice.2024; 210: 111640.     CrossRef
  • Cumulative muscle strength and risk of diabetes: A prospective cohort study with mediation analysis
    Shanhu Qiu, Xue Cai, Yan Liang, Wenji Chen, Duolao Wang, Zilin Sun, Bo Xie, Tongzhi Wu
    Diabetes Research and Clinical Practice.2023; 197: 110562.     CrossRef
  • Revisiting the Diabetes Crisis in Korea: Call for Urgent Action
    Jun Sung Moon
    The Journal of Korean Diabetes.2023; 24(1): 1.     CrossRef
  • 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 J
    Diabetes & Metabolism Journal.2023; 47(5): 575.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes
    Min Kyong Moon
    The Journal of Korean Diabetes.2023; 24(3): 120.     CrossRef
Original Article
Cardiovascular Risk/Epidemiology
Performance of Diabetes and Kidney Disease Screening Scores in Contemporary United States and Korean Populations
Liela Meng, Keun-Sang Kwon, Dae Jung Kim, Yong-ho Lee, Jeehyoung Kim, Abhijit V. Kshirsagar, Heejung Bang
Diabetes Metab J. 2022;46(2):273-285.   Published online September 9, 2021
DOI: https://doi.org/10.4093/dmj.2021.0054
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Risk assessment tools have been actively studied, and they summarize key predictors with relative weights/importance for a disease. Currently, standardized screening scores for type 2 diabetes mellitus (DM) and chronic kidney disease (CKD)—two key global health problems—are available in United States and Korea. We aimed to compare and evaluate screening scores for DM (or combined with prediabetes) and CKD, and assess the risk in contemporary United States and Korean populations.
Methods
Four (2×2) models were evaluated in the United States-National Health and Nutrition Examination Survey (NHANES 2015–2018) and Korea-NHANES (2016–2018)—8,928 and 16,209 adults. Weighted statistics were used to describe population characteristics. We used logistic regression for predictors in the models to assess associations with study outcomes (undiagnosed DM and CKD) and diagnostic measures for temporal and cross-validation.
Results
Korean adult population (mean age 47.5 years) appeared to be healthier than United States counterpart, in terms of DM and CKD risks and associated factors, with exceptions of undiagnosed DM, prediabetes and prehypertension. Models performed well in own country and external populations regarding predictor-outcome association and discrimination. Risk tests (high vs. low) showed area under the curve >0.75, sensitivity >84%, specificity >45%, positive predictive value >8%, and negative predictive value >99%. Discrimination was better for DM, compared to the combined outcome of DM and prediabetes, and excellent for CKD due to age.
Conclusion
Four easy-to-use screening scores for DM and CKD are well-validated in contemporary United States and Korean populations. Prevention of DM and CKD may serve as first-step in public health, with these self-assessment tools as basic tools to help health education and disparity.

Citations

Citations to this article as recorded by  
  • A meta‐analysis of diabetes risk prediction models applied to prediabetes screening
    Yujin Liu, Sunrui Yu, Wenming Feng, Hangfeng Mo, Yuting Hua, Mei Zhang, Zhichao Zhu, Xiaoping Zhang, Zhen Wu, Lanzhen Zheng, Xiaoqiu Wu, Jiantong Shen, Wei Qiu, Jianlin Lou
    Diabetes, Obesity and Metabolism.2024; 26(5): 1593.     CrossRef
  • Performance Analysis and Assessment of Type 2 Diabetes Screening Scores in Patients with Non-Alcoholic Fatty Liver Disease
    Norma Latif Fitriyani, Muhammad Syafrudin, Siti Maghfirotul Ulyah, Ganjar Alfian, Syifa Latif Qolbiyani, Chuan-Kai Yang, Jongtae Rhee, Muhammad Anshari
    Mathematics.2023; 11(10): 2266.     CrossRef
  • A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction
    Norma Latif Fitriyani, Muhammad Syafrudin, Siti Maghfirotul Ulyah, Ganjar Alfian, Syifa Latif Qolbiyani, Muhammad Anshari
    Mathematics.2022; 10(21): 4027.     CrossRef
Brief Report
Metabolic Risk/Epidemiology
Short-Term Effects of the Internet-Based Korea Diabetes Prevention Study: 6-Month Results of a Community-Based Randomized Controlled Trial
Jin-Hee Lee, Sun-Young Lim, Seon-Ah Cha, Chan-Jung Han, Ah Reum Jung, Kook-Rye Kim, Kun-Ho Yoon, Seung-Hyun Ko
Diabetes Metab J. 2021;45(6):960-965.   Published online March 17, 2021
DOI: https://doi.org/10.4093/dmj.2020.0225
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  • 5 Web of Science
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Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
The aims of this study were to determine the short-term effectiveness of an internet-based lifestyle modification (LSM) program in preventing the onset of type 2 diabetes mellitus (T2DM) in prediabetes patients in community settings. A total of 415 subjects who were diagnosed with prediabetes were randomly assigned to the LSM and standard management (SM) groups. After the 6-month intervention, the LSM group had a statistically significant reduction in body weight, body mass index compared to the SM group participants. In the LSM group, blood glucose levels were significantly decreased after intervention and the clinical improvement effect was evident in the group that achieved the target weight loss of 5% or more of the initial weight for 6 months. Internet-based 6-month-intensive LSM programs conducted by public health center personnel are an effective way to provide lifestyle intervention programs and encourage maintenance of healthy behaviors in subjects with a high risk of T2DM in community settings.

Citations

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  • U-shaped association between online information exchange and app usage frequency: a large-scale survey of China ‘s online young and middle-aged people with pre diabetes and diabetes
    Hanbin Guo, Yibiao Xiao, Canlin Liao, Jiating Sun, Yanchun Xie, Yitong Zheng, Guanhua Fan
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Innovation in diabetes prevention research: The 36-year legacy of China Da Qing diabetes prevention study
    Xin Chai, Yachen Wang, Jinping Wang, Qiuhong Gong, Juan Zhang, Ruitai Shao
    Chinese Science Bulletin.2023; 68(28-29): 3834.     CrossRef
  • Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial
    Eun Young Lee, Seon-Ah Cha, Jae-Seung Yun, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Min Kyung Hyun, Seung-Hyun Ko
    Journal of Medical Internet Research.2022; 24(7): e37430.     CrossRef
  • Prevention of type 2 diabetes through remotely administered lifestyle programs: A systematic review
    Valaree Villegas, Alisha Shah, JoAnn E. Manson, Deirdre K. Tobias
    Contemporary Clinical Trials.2022; 119: 106817.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
    Diabetes & Metabolism Journal.2021; 45(4): 461.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
    Seung-Hyun Ko
    The Journal of Korean Diabetes.2021; 22(4): 244.     CrossRef
Original Articles
Technology/Device
Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort
Sang Youl Rhee, Ji Min Sung, Sunhee Kim, In-Jeong Cho, Sang-Eun Lee, Hyuk-Jae Chang
Diabetes Metab J. 2021;45(4):515-525.   Published online February 25, 2021
DOI: https://doi.org/10.4093/dmj.2020.0081
  • 8,402 View
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  • 6 Web of Science
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Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Previously developed prediction models for type 2 diabetes mellitus (T2DM) have limited performance. We developed a deep learning (DL) based model using a cohort representative of the Korean population.
Methods
This study was conducted on the basis of the National Health Insurance Service-Health Screening (NHIS-HEALS) cohort of Korea. Overall, 335,302 subjects without T2DM at baseline were included. We developed the model based on 80% of the subjects, and verified the power in the remainder. Predictive models for T2DM were constructed using the recurrent neural network long short-term memory (RNN-LSTM) network and the Cox longitudinal summary model. The performance of both models over a 10-year period was compared using a time dependent area under the curve.
Results
During a mean follow-up of 10.4±1.7 years, the mean frequency of periodic health check-ups was 2.9±1.0 per subject. During the observation period, T2DM was newly observed in 8.7% of the subjects. The annual performance of the model created using the RNN-LSTM network was superior to that of the Cox model, and the risk factors for T2DM, derived using the two models were similar; however, certain results differed.
Conclusion
The DL-based T2DM prediction model, constructed using a cohort representative of the population, performs better than the conventional model. After pilot tests, this model will be provided to all Korean national health screening recipients in the future.

Citations

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  • Remnant Cholesterol Is an Independent Predictor of Type 2 Diabetes: A Nationwide Population-Based Cohort Study
    Ji Hye Huh, Eun Roh, Seong Jin Lee, Sung-Hee Ihm, Kyung-Do Han, Jun Goo Kang
    Diabetes Care.2023; 46(2): 305.     CrossRef
  • A scoping review of artificial intelligence-based methods for diabetes risk prediction
    Farida Mohsen, Hamada R. H. Al-Absi, Noha A. Yousri, Nady El Hajj, Zubair Shah
    npj Digital Medicine.2023;[Epub]     CrossRef
  • Development of Various Diabetes Prediction Models Using Machine Learning Techniques
    Juyoung Shin, Jaewon Kim, Chanjung Lee, Joon Young Yoon, Seyeon Kim, Seungjae Song, Hun-Sung Kim
    Diabetes & Metabolism Journal.2022; 46(4): 650.     CrossRef
  • Prediction Model for Hypertension and Diabetes Mellitus Using Korean Public Health Examination Data (2002–2017)
    Yong Whi Jeong, Yeojin Jung, Hoyeon Jeong, Ji Hye Huh, Ki-Chul Sung, Jeong-Hun Shin, Hyeon Chang Kim, Jang Young Kim, Dae Ryong Kang
    Diagnostics.2022; 12(8): 1967.     CrossRef
  • Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
    Juyoung Shin, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi, Hun-Sung Kim
    Journal of Personalized Medicine.2022; 12(11): 1899.     CrossRef
Metabolic Risk/Epidemiology
Level of Organochlorine Pesticide in Prediabetic and Newly Diagnosed Diabetes Mellitus Patients with Varying Degree of Glucose Intolerance and Insulin Resistance among North Indian Population
Shipra Tyagi, Brijesh Kumar Mishra, Tusha Sharma, Neha Tawar, Abdul Jamil Urfi, Basu Dev Banerjee, Sri Venkata Madhu
Diabetes Metab J. 2021;45(4):558-568.   Published online January 15, 2021
DOI: https://doi.org/10.4093/dmj.2020.0093
  • 4,857 View
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  • 10 Web of Science
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Organochlorine pesticides (OCPs) exposure may induce an endocrine disruption which may lead to the risk of developing diabetes through alteration and disturbance of glucose metabolism, insulin resistance, and destruction of β-cells. The present study determines the recent trend of OCPs residue in blood samples and their association with the known risk factors responsible for developing the risk of diabetes among the North Indian population.
Methods
Blood sample of 300 patients (100 each of normal glucose tolerance [NGT], prediabetes and newly detected diabetes mellitus [DM]) between the age group of 30 to 70 years were collected. OCPs residue in whole blood samples was analyzed by using gas chromatography equipped with a 63Ni selective electron capture detector.
Results
Significantly higher levels of β-hexachlorocyclohexane (HCH), dieldrin, and p,p’-dichloro-diphenyl-dichloroethylene (DDE) were found in the prediabetes and newly detected DM groups as compared to NGT group. Insulin resistance showed to be significantly positive correlation with β-HCH and dieldrin. Also, fasting and postprandial glucose levels were significantly positively correlated with levels of β-HCH, dieldrin, and p,p’-DDE. Further, when OCPs level was adjusted for age and body mass index (BMI), it was found that β-HCH, dieldrin, and p,p’-DDE levels in blood increases the risk of diabetes by 2.70, 2.83, and 2.55 times respectively. Moreover, when we adjust OCPs level based on BMI categories (BMI <23, ≥23, and ≤25, and >25 kg/m2); β-HCH and p,p’-DDE showed a significant risk of developing newly detected DM with BMI >25 and ≥23 and ≤25 kg/m2.
Conclusion
The OCPs level present in the environment may be responsible for biological, metabolic, and endocrine disruptions within the human body which may increase the risk of developing newly detected DM. Hence, OCPs exposure can play a crucial role in the etiology of diabetes.

Citations

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  • Combined effects of organochlorine pesticides on type 2 diabetes mellitus: Insights from endocrine disrupting effects of hormones
    Jiayu Shi, Dandan Wei, Cuicui Ma, Jintian Geng, Mengzhen Zhao, Jian Hou, Wenqian Huo, Tao Jing, Chongjian Wang, Zhenxing Mao
    Environmental Pollution.2024; 341: 122867.     CrossRef
  • Associations of chronic exposure to a mixture of pesticides and type 2 diabetes mellitus in a Chinese elderly population
    Tian Chen, Xiaohua Liu, Jianghua Zhang, Lulu Wang, Jin Su, Tao Jing, Ping Xiao
    Chemosphere.2024; 351: 141194.     CrossRef
  • Application of In Vitro Models for Studying the Mechanisms Underlying the Obesogenic Action of Endocrine-Disrupting Chemicals (EDCs) as Food Contaminants—A Review
    Monika Kowalczyk, Jakub P. Piwowarski, Artur Wardaszka, Paulina Średnicka, Michał Wójcicki, Edyta Juszczuk-Kubiak
    International Journal of Molecular Sciences.2023; 24(2): 1083.     CrossRef
  • The diabetogenic effects of pesticides: Evidence based on epidemiological and toxicological studies
    Yile Wei, Linping Wang, Jing Liu
    Environmental Pollution.2023; 331: 121927.     CrossRef
  • Pesticides and insulin resistance-related metabolic diseases: Evidences and mechanisms
    Ali Arab, Sara Mostafalou
    Pesticide Biochemistry and Physiology.2023; 195: 105521.     CrossRef
  • Circulating organochlorine pesticide levels, genetic predisposition and the risk of incident type 2 diabetes
    Chengyong Jia, Shiyang Zhang, Xu Cheng, Peiwen Li, Jun An, Xin Zhang, Wending Li, Yali Xu, Handong Yang, Tao Jing, Huan Guo, Meian He
    Environmental Pollution.2023; 337: 122541.     CrossRef
  • Targets for pollutants in rat and human pancreatic beta-cells: The effect of prolonged exposure to sub-lethal concentrations of hexachlorocyclohexane isomers on the expression of function- and survival-related proteins
    Nela Pavlíková, Jan Šrámek, Martin Jaček, Jan Kovář, Vlasta Němcová
    Environmental Toxicology and Pharmacology.2023; 104: 104299.     CrossRef
  • Association of Organochlorine Pesticides With Genetic Markers of Endoplasmic Reticulum Stress in Type 2 Diabetes Mellitus: A Case–Control Study Among the North-Indian Population
    Neha Tawar, Basu Dev Banerjee, Sri Venkata Madhu, Vivek Agrawal, Sanjay Gupta
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Acaricidal and insecticidal efficacy of new esters derivatives of a natural coumarin osthole
    Xijie Shan, Min Lv, Jingru Wang, Yujia Qin, Hui Xu
    Industrial Crops and Products.2022; 182: 114855.     CrossRef
  • Association between organochlorine pesticides and nonalcoholic fatty liver disease in the National Health and Nutrition Examination Survey 2003–2004
    Hyunji Sang, Kyu-Na Lee, Chang Hee Jung, Kyungdo Han, Eun Hee Koh
    Scientific Reports.2022;[Epub]     CrossRef
Guideline/Fact Sheet
Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Jae-Seung Yun, Sun Young Kim, Sung Rae Kim, In-Kyung Jeong, Ji-Oh Mok, Kun Ho Yoon
Diabetes Metab J. 2021;45(1):1-10.   Published online January 13, 2021
DOI: https://doi.org/10.4093/dmj.2020.0254
  • 21,561 View
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study aimed to investigate the recent prevalence, management, and comorbidities of diabetes among Korean adults aged ≥30 years by analyzing nationally representative data.
Methods
This study used data from the Korea National Health and Nutrition Examination Survey from 2016 to 2018, and the percentage and total number of people ≥30 years of age with diabetes and impaired fasting glucose (IFG) were estimated.
Results
In 2018, 13.8% of Korean adults aged ≥30 years had diabetes, and adults aged ≥65 years showed a prevalence rate of 28%. The prevalence of IFG was 26.9% in adults aged ≥30 years. From 2016 to 2018, 35% of the subjects with diabetes were not aware of their condition. Regarding comorbidities, 53.2% and 61.3% were obese and hypertensive, respectively, and 72% had hypercholesterolemia as defined by low-density lipoprotein cholesterol (LDL-C) ≥100 mg/dL in people with diabetes. Of the subjects with diabetes, 43.7% had both hypertension and hypercholesterolemia. With regard to glycemic control, only 28.3% reached the target level of <6.5%. Moreover, only 11.5% of subjects with diabetes met all three targets of glycosylated hemoglobin, blood pressure, and LDL-C. The percentage of energy intake from carbohydrates was higher in diabetes patients than in those without diabetes, while that from protein and fat was lower in subjects with diabetes.
Conclusion
The high prevalence and low control rate of diabetes and its comorbidities in Korean adults were confirmed. More stringent efforts are needed to improve the comprehensive management of diabetes to reduce diabetes-related morbidity and mortality.

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    Public Health Weekly Report.2024; 17(2): 46.     CrossRef
  • Variability in the association of smoking status with the prevalence of diabetes mellitus in the Korean population according to different definitions of smoking status: analysis based on the Korea National Health and Nutrition Examination Survey (2014-202
    Yechan Kyung, Young Sook Park, Mi Hyeon Jin, Hae Jeong Lee
    International Journal of Environmental Health Research.2024; : 1.     CrossRef
  • Factors Influencing the Dietary Behavior of Patients with Type 2 Diabetes Mellitus: A Cross-sectional Study
    Sohyun Jin, Youngshin Song
    Journal of Korean Academy of Fundamentals of Nursing.2024; 31(1): 80.     CrossRef
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    Jin-Ah Seok, Yeon-Kyung Lee
    Nutrition Research and Practice.2024; 18(2): 239.     CrossRef
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    Min Kyong Moon, Min Joo Kim, Inae Lee, Sunmi Kim, Sohyeon Choi, Jeongim Park, Yoon Hee Cho, Sooyeon Hong, Jiyoung Yoo, Hyunwoong Park, Gi Jeong Cheon, Young Joo Park, Kyungho Choi
    Exposure and Health.2023; 15(1): 53.     CrossRef
  • The evolution and future of diagnostic criteria for diabetes mellitus
    Eun-Jung Rhee
    Journal of the Korean Medical Association.2023; 66(7): 409.     CrossRef
  • Efficacy of intermittent short‐term use of a real‐time continuous glucose monitoring system in non‐insulin–treated patients with type 2 diabetes: A randomized controlled trial
    Sun Joon Moon, Kyung‐Soo Kim, Woo Je Lee, Mi Yeon Lee, Robert Vigersky, Cheol‐Young Park
    Diabetes, Obesity and Metabolism.2023; 25(1): 110.     CrossRef
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    Graefe's Archive for Clinical and Experimental Ophthalmology.2023; 261(4): 1127.     CrossRef
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    Gene Huh, Kyoung do Han, Yong-Moon Park, Chan-Soon Park, Kyu-na Lee, Eun Young Lee, Jung-Hae Cho
    The Korean Journal of Internal Medicine.2023; 38(1): 80.     CrossRef
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    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
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    Joo-Hyun Park, Jung Yong Hong, Kyungdo Han
    European Journal of Cancer.2023; 180: 99.     CrossRef
  • Diabetes screening in South Korea: a new estimate of the number needed to screen to detect diabetes
    Kyoung Hwa Ha, Kyung Ae Lee, Kyung-Do Han, Min Kyong Moon, Dae Jung Kim
    The Korean Journal of Internal Medicine.2023; 38(1): 93.     CrossRef
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    Bukyung Kim, Hak Sung Lee, Hye-Jin Kim, Hyolynn Lee, In-young Lee, Soyoung Ock, Sukyoung Kwon, Sang-Soo Kang, Youngsik Choi
    Food Science and Biotechnology.2023; 32(5): 697.     CrossRef
  • Dynamic changes in prevalence of type 2 diabetes along with associated factors in Bangladesh: Evidence from two national cross-sectional surveys (BDHS 2011 and BDHS 2017–18)
    Sabiha Shirin Sara, Ashis Talukder, Ka Yiu Lee, Nayan Basak, Shaharior Rahman Razu, Iqramul Haq, Chuton Deb Nath
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(2): 102706.     CrossRef
  • Effectiveness of Non-Contact Dietary Coaching in Adults with Diabetes or Prediabetes Using a Continuous Glucose Monitoring Device: A Randomized Controlled Trial
    Yeh-Chan Ahn, Yang Seok Kim, Bukyung Kim, Jung Mi Ryu, Myoung Soo Kim, Minkyeong Kang, Jiwon Park
    Healthcare.2023; 11(2): 252.     CrossRef
  • Interactions between Bitter Taste Receptor Gene Variants and Dietary Intake Are Associated with the Incidence of Type 2 Diabetes Mellitus in Middle-Aged and Older Korean Adults
    Kyung Won Lee, Dayeon Shin
    International Journal of Molecular Sciences.2023; 24(3): 2199.     CrossRef
  • Relationship between age at menarche and metabolic diseases in Korean postmenopausal women: The Korea National Health and Nutrition Examination Survey 2016–2018
    Hyein Jung, Yeon-Ah Sung, Young Sun Hong, Do Kyeong Song, So-hyeon Hong, Hyejin Lee, Tatsuo Shimosawa
    PLOS ONE.2023; 18(1): e0280929.     CrossRef
  • 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 & Metabolism Journal.2023; 47(1): 82.     CrossRef
  • Cumulative muscle strength and risk of diabetes: A prospective cohort study with mediation analysis
    Shanhu Qiu, Xue Cai, Yan Liang, Wenji Chen, Duolao Wang, Zilin Sun, Bo Xie, Tongzhi Wu
    Diabetes Research and Clinical Practice.2023; 197: 110562.     CrossRef
  • Hormonal Gut–Brain Signaling for the Treatment of Obesity
    Eun Roh, Kyung Mook Choi
    International Journal of Molecular Sciences.2023; 24(4): 3384.     CrossRef
  • Consistency of 1-day and 3-day average dietary intake and the relationship of dietary intake with blood glucose, hbA1c, BMI, and lipids in patients with type 2 diabetes
    DaeEun Lee, Haejung Lee, Sangeun Lee, MinJin Lee, Ah Reum Khang
    Journal of Korean Biological Nursing Science.2023; 25(1): 20.     CrossRef
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    Journal of Comparative Effectiveness Research.2023;[Epub]     CrossRef
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    Microbiology Spectrum.2023;[Epub]     CrossRef
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    Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Jeong Mi Seo, Hongjo Choi, Young Ae Kang
    BMJ Open.2023; 13(3): e069642.     CrossRef
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    Diabetes & Metabolism.2023; 49(4): 101440.     CrossRef
  • Impact of abdominal obesity on the risk of glioma development in patients with diabetes: A nationwide population-based cohort study in Korea
    Hyunji Sang, Yun Kyung Cho, Kyungdo Han, Eun Hee Koh, Sandar Tin Tin
    PLOS ONE.2023; 18(3): e0283023.     CrossRef
  • Associations Between Modifiable Risk Factors and Changes in Glycemic Status Among Individuals With Prediabetes
    Salma Nabila, Ji-Eun Kim, Jaesung Choi, JooYong Park, Aesun Shin, Sang-Ah Lee, Jong-koo Lee, Daehee Kang, Ji-Yeob Choi
    Diabetes Care.2023; 46(3): 535.     CrossRef
  • Effect of diabetes-specific oral nutritional supplements with allulose on weight and glycemic profiles in overweight or obese type 2 diabetic patients
    Jihye Tak, Minkyung Bok, Hyunkyung Rho, Ju Hyun Park, Yunsook Lim, Suk Chon, Hyunjung Lim
    Nutrition Research and Practice.2023; 17(2): 241.     CrossRef
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    Jung Jea-Bum, Cho Yong-Won , Kim Sang-Yub , Chung Soo-Yeon , Han Kyung-Hoon , Ham Byung-Joo , Han Sung-Hee
    Archives of Food and Nutritional Science.2023; 7(1): 032.     CrossRef
  • Development and Adaptability of Smartphone-based Dietary Coaching Program for Patients Undergoing Diabetes and Prediabetes with Continuous Glucose Monitoring Device
    Myoung Soo Kim, Jung Mi Ryu, Minkyeong Kang, Jiwon Park, Yeh Chan Ahn, Yang Seok Kim
    Journal of Health Informatics and Statistics.2023; 48(1): 36.     CrossRef
  • Risk of Diabetic Complications in Type 2 Diabetes Patients with Dementia: A Population-Based Study Using National Health Insurance Claims Data
    Eun Sik Jeong, Ah-Young Kim, Hye-Young Kang
    Drug Targets and Therapeutics.2023; 2(1): 49.     CrossRef
  • Type 2 Diabetes Mellitus- and Complication-Related Risk of Nontuberculous Mycobacterial Disease in a South Korean Cohort
    Da Som Jeon, Seonok Kim, Mi Ae Kim, Yong Pil Chong, Tae Sun Shim, Chang Hee Jung, Ye-Jee Kim, Kyung-Wook Jo, Paschalis Vergidis, Byung Woo Jhun
    Microbiology Spectrum.2023;[Epub]     CrossRef
  • Association of advanced chronic kidney disease with diabetic retinopathy severity in older patients with diabetes: a retrospective cross-sectional study
    Geun Woo Lee, Chul Ho Lee, Seong Gyu Kim
    Journal of Yeungnam Medical Science.2023; 40(2): 146.     CrossRef
  • RELATIVE RISK OF DIABETES MELLITUS AMONG OBESE POPULATION
    Umair Khalid, Khuram Chaudry, Hina Khuram
    Pakistan Journal of Rehabilitation.2023; 12(1): 93.     CrossRef
  • Public–Private Partnership: Participants’ Experiences of the Web-Based Registration-and-Management System for Patients with Hypertension and Diabetes Mellitus
    Seonah Lee, Nanyoung Song, Suhyun Kim
    Healthcare.2023; 11(9): 1297.     CrossRef
  • Anti-Hyperglycemic Effects of Fermented Mealworm Extract on Type 2 Diabetic Mice
    Hae-In Lee, Asli Turkyilmaz, Mi-Kyung Lee
    Journal of the Korean Society of Food Science and Nutrition.2023; 52(4): 431.     CrossRef
  • A Study on Changes in Nutritional and Blood Conditions Before and After Consumption of Diabetic Soymilk in Elderly Women with Diabetes
    Hyo-Jeong Hwang, Soon-Hee Park, Seon-Young Park, Soo-Rin Ahn, Su-Jin Park, Yoo-Jin Lee, Kwang-Jin Chon, Chung-Hwa Song, Dae-Gyun Moon, Kyung-Ok Shin
    Journal of the Korean Society of Food Science and Nutrition.2023; 52(4): 341.     CrossRef
  • Developing a Classification Algorithm for Prediabetes Risk Detection From Home Care Nursing Notes
    Eunjoo Jeon, Aeri Kim, Jisoo Lee, Hyunsook Heo, Hana Lee, Kyungmi Woo
    CIN: Computers, Informatics, Nursing.2023; 41(7): 539.     CrossRef
  • Chronic disease management program applied to type 2 diabetes patients and prevention of diabetic complications: a retrospective cohort study using nationwide data
    Min Kyung Hyun, Jang Won Lee, Seung-Hyun Ko
    BMC Public Health.2023;[Epub]     CrossRef
  • Peripheral neuropathy and neuropathic pain in the elderly
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    Journal of Geriatric Neurology.2023; 2(1): 7.     CrossRef
  • Cholecystectomy Increases the Risk of Type 2 Diabetes in the Korean Population
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    Annals of Surgery.2023; 278(2): e264.     CrossRef
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    Biosensors.2023; 13(7): 702.     CrossRef
  • Pharmacokinetic Comparison Between a Fixed‐Dose Combination of Empagliflozin L‐Proline/Metformin and Empagliflozin/Metformin in Healthy Korean Subjects
    HyunJoon Lee, Jae‐Yong Chung, Kyung‐Sang Yu, Shin‐Jung Park, Soyoung Lee
    Clinical Pharmacology in Drug Development.2023; 12(12): 1156.     CrossRef
  • Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods
    Seong Gyu Choi, Minsuk Oh, Dong–Hyuk Park, Byeongchan Lee, Yong-ho Lee, Sun Ha Jee, Justin Y. Jeon
    Scientific Reports.2023;[Epub]     CrossRef
  • Comparison of therapeutic efficacy and safety of sitagliptin, dapagliflozin, or lobeglitazone adjunct therapy in patients with type 2 diabetes mellitus inadequately controlled on sulfonylurea and metformin: Third agent study
    Jun Hwa Hong, Jun Sung Moon, Kayeon Seong, Soo Lim
    Diabetes Research and Clinical Practice.2023; 203: 110872.     CrossRef
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    Water Research.2023; 245: 120627.     CrossRef
  • Intake of Fruit and Glycemic Control in Korean Patients with Diabetes Mellitus Using the Korea National Health and Nutrition Examination Survey
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    Endocrinology and Metabolism.2023; 38(5): 538.     CrossRef
  • Diabetes Mellitus in the Elderly Adults in Korea: Based on Data from the Korea National Health and Nutrition Examination Survey 2019 to 2020
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    Diabetes & Metabolism Journal.2023; 47(5): 643.     CrossRef
  • Lower HbA1C of glycemic control is associated with higher risk of depressive symptoms in elderly with type 2 diabetes mellitus–A Nationwide Community-based study
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    Journal of Psychosomatic Research.2023; 174: 111492.     CrossRef
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    Scientific Reports.2023;[Epub]     CrossRef
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    Biomedical Science Letters.2023; 29(3): 159.     CrossRef
  • Classification and prediction of the effects of nutritional intake on diabetes mellitus using artificial neural network sensitivity analysis: 7th Korea National Health and Nutrition Examination Survey
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  • Changes in Soluble Serum CD81 Concentration during an Oral Glucose Tolerance Test in Patients with Diabetes Mellitus and Individuals with Normal Glucose Tolerance
    Seon Mee Kang, Jun Choul Lee, Bon Jeong Ku
    Diagnostics.2023; 13(23): 3500.     CrossRef
  • Association between diabetes mellitus and cause of death in patients with tuberculosis: A Korean nationwide cohort study
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    PLOS ONE.2023; 18(12): e0295556.     CrossRef
  • The development and effects of a nursing education program for hyperglycemia patient care using standardized patients for nursing students
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  • An association between socioeconomic status and preventive screening for diabetic eye and kidney complications among individuals with type 2 diabetes
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    Epidemiology and Health.2023; 45: e2023080.     CrossRef
  • Relationships between fasting glucose levels, lifestyle factors, and metabolic parameters in Korean adults without diagnosis of diabetes mellitus
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    International Journal of Hygiene and Environmental Health.2022; 240: 113886.     CrossRef
  • Trends in intake and sources of dietary protein in Korean adults, 1998–2018
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  • Risk factors for hypertension and diabetes comorbidity in a Korean population: A cross-sectional study
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  • Muscle strength and prediabetes progression and regression in middle‐aged and older adults: a prospective cohort study
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  • Effects of Teneligliptin on HbA1c levels, Continuous Glucose Monitoring-Derived Time in Range and Glycemic Variability in Elderly Patients with T2DM (TEDDY Study)
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    Diabetes & Metabolism Journal.2022; 46(1): 81.     CrossRef
  • Effect of Combined Treatment with Catechin and Quercetin on Hepatic Glucose Metabolism in Diabetic Rats
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  • East Asian perspectives in metabolic and bariatric surgery
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    Journal of Diabetes Investigation.2022; 13(5): 756.     CrossRef
  • Substitution of Carbohydrates for Fats and Risk of Type 2 Diabetes among Korean Middle-Aged Adults: Findings from the Korean Genome and Epidemiology Study
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    Nutrients.2022; 14(3): 654.     CrossRef
  • Comparison of Health Outcomes by Care Provider Type for Newly Diagnosed Mild Type 2 Diabetes Patients in South Korea: A Retrospective Cohort Study
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    Healthcare.2022; 10(2): 334.     CrossRef
  • A deep learning model for screening type 2 diabetes from retinal photographs
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  • Rheological, textural, and functional characteristics of 3D-printed cheesecake containing guava leaf, green tea, and barley sprout powders
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    Food Bioscience.2022; 47: 101634.     CrossRef
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    PLOS ONE.2022; 17(3): e0264291.     CrossRef
  • Association between Physical Exercise and Glycated Hemoglobin Levels in Korean Patients Diagnosed with Diabetes
    Il Yun, Hye Jin Joo, Yu Shin Park, Eun-Cheol Park
    International Journal of Environmental Research and Public Health.2022; 19(6): 3280.     CrossRef
  • Editorial: Management of Diabetes and its Complications: A Focus on Endothelial Dysfunction
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    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • The effect of long working hours on developing type 2 diabetes in adults with prediabetes: The Kangbuk Samsung Cohort Study
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    Annals of Occupational and Environmental Medicine.2022;[Epub]     CrossRef
  • GLP-1 receptor agonists in diabetic kidney disease: current evidence and future directions
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    Kidney Research and Clinical Practice.2022; 41(2): 136.     CrossRef
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    Diabetes & Metabolism Journal.2022; 46(2): 297.     CrossRef
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    Oh. Hyeong Lee, Yong-Moon Park, Seung-Hyun Ko, Kyuna Lee, Yeonji Kim, Kyungdo Han, Jung-Hae Cho
    BMC Cancer.2022;[Epub]     CrossRef
  • Efficacy of Geumguesingi-hwan (jinkuishenqi-wan, kinkijinki-gan) in decreasing blood glucose levels in patients with uncomplicated type 2 diabetes
    Hyun-Jin Choi, Ji-Soo Baek, Cheon-Hoo Jeon, Seon-Mi Shin, Chung-Sik Cho
    Medicine.2022; 101(12): e29079.     CrossRef
  • Effect of Motivational Interviewing Training on Diabetes Educators’ Counseling Skills and Self-Efficacy
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  • Management Status of Patients with Type 2 Diabetes Mellitus at General Hospitals in Korea: A 5-Year Follow-Up Study
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  • Korean naked waxy barley (saechalssal) extract reduces blood glucose in diabetic mice by modulating the PI3K-Akt-GSK3β pathway
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    Biomedicine & Pharmacotherapy.2022; 150: 112976.     CrossRef
  • Cumulative Exposure to High γ-Glutamyl Transferase Level and Risk of Diabetes: A Nationwide Population-Based Study
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  • Suicide Risk in Patients With Diabetes Varies by the Duration of Diabetes: The Korea National Health and Nutrition Examination Survey (2019)
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    Psychiatry Investigation.2022; 19(4): 326.     CrossRef
  • Gene‐environment interaction in type 2 diabetes in Korean cohorts: Interaction of a type 2 diabetes polygenic risk score with triglyceride and cholesterol on fasting glucose levels
    Ji Eun Lim, Ji‐one Kang, Tae‐Woong Ha, Hae‐Un Jung, Dong Jun Kim, Eun Ju Baek, Han Kyul Kim, Ju Yeon Chung, Sang Youl Rhee, Mi Kyung Kim, Yeon‐Jung Kim, Taesung Park, Bermseok Oh
    Genetic Epidemiology.2022; 46(5-6): 285.     CrossRef
  • The predictive value of resting heart rate in identifying undiagnosed diabetes in Korean adults: Korea National Health and Nutrition Examination Survey
    Dong-Hyuk Park, Wonhee Cho, Yong-Ho Lee, Sun Ha Jee, Justin Y. Jeon
    Epidemiology and Health.2022; 44: e2022009.     CrossRef
  • Experiences of Sleep Problems Among Older Korean Immigrants
    Yeonsu Song, Gery W. Ryan, Diane Lee, Haesook Kim, Jennifer L. Martin, B. Josea Kramer, Ron D. Hays, Sarah E. Choi
    Research in Gerontological Nursing.2022; 15(4): 193.     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
  • Diabetes Fact Sheet in Korea 2021
    Jae Hyun Bae, Kyung-Do Han, Seung-Hyun Ko, Ye Seul Yang, Jong Han Choi, Kyung Mook Choi, Hyuk-Sang Kwon, Kyu Chang Won
    Diabetes & Metabolism Journal.2022; 46(3): 417.     CrossRef
  • Effect of Carbohydrate-Restricted Diets and Intermittent Fasting on Obesity, Type 2 Diabetes Mellitus, and Hypertension Management: Consensus Statement of the Korean Society for the Study of Obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Diabetes & Metabolism Journal.2022; 46(3): 355.     CrossRef
  • Exercise, Mitohormesis, and Mitochondrial ORF of the 12S rRNA Type-C (MOTS-c)
    Tae Kwan Yoon, Chan Hee Lee, Obin Kwon, Min-Seon Kim
    Diabetes & Metabolism Journal.2022; 46(3): 402.     CrossRef
  • Effect of carbohydrate-restricted diets and intermittent fasting on obesity, type 2 diabetes mellitus, and hypertension management: consensus statement of the Korean Society for the Study of obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Clinical Hypertension.2022;[Epub]     CrossRef
  • A double‐blind, Randomized controlled trial on glucose‐lowering EFfects and safety of adding 0.25 or 0.5 mg lobeglitazone in type 2 diabetes patients with INadequate control on metformin and dipeptidyl peptidase‐4 inhibitor therapy: REFIND study
    Soree Ryang, Sang Soo Kim, Ji Cheol Bae, Ji Min Han, Su Kyoung Kwon, Young Il Kim, Il Seong Nam‐Goong, Eun Sook Kim, Mi‐kyung Kim, Chang Won Lee, Soyeon Yoo, Gwanpyo Koh, Min Jeong Kwon, Jeong Hyun Park, In Joo Kim
    Diabetes, Obesity and Metabolism.2022; 24(9): 1800.     CrossRef
  • Association of prediabetes with death and diabetic complications in older adults: the pros and cons of active screening for prediabetes
    Giwoong Choi, Hojun Yoon, Hyun Ho Choi, Kyoung Hwa Ha, Dae Jung Kim
    Age and Ageing.2022;[Epub]     CrossRef
  • Recent information on test utilization and intraindividual change in anti-glutamic acid decarboxylase antibody in Korea: a retrospective study
    Rihwa Choi, Wonseo Park, Gayoung Chun, Jiwon Lee, Sang Gon Lee, Eun Hee Lee
    BMJ Open Diabetes Research & Care.2022; 10(3): e002739.     CrossRef
  • Correlation of advanced glycation end products and heme oxygenase-1 in Korean diabetic patients
    Ha-Neul Choi, Da-Hye Koo, Jung-Eun Yim
    Journal of Nutrition and Health.2022; 55(3): 348.     CrossRef
  • The Impact of the Association between Cancer and Diabetes Mellitus on Mortality
    Sung-Soo Kim, Hun-Sung Kim
    Journal of Personalized Medicine.2022; 12(7): 1099.     CrossRef
  • Development and implementation of patient-level prediction models of end-stage renal disease for type 2 diabetes patients using fast healthcare interoperability resources
    San Wang, Jieun Han, Se Young Jung, Tae Jung Oh, Sen Yao, Sanghee Lim, Hee Hwang, Ho-Young Lee, Haeun Lee
    Scientific Reports.2022;[Epub]     CrossRef
  • Optical-fibre characteristics based on Fano resonances and sensor application in blood glucose detection
    Jun Zhu, Jinguo Yin
    Optics Express.2022; 30(15): 26749.     CrossRef
  • Effect of Carbohydrate-Restricted Diets and Intermittent Fasting on Obesity, Type 2 Diabetes Mellitus, and Hypertension Management: Consensus Statement of the Korean Society for the Study of Obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Journal of Obesity & Metabolic Syndrome.2022; 31(2): 100.     CrossRef
  • Maintaining Physical Activity Is Associated with Reduced Major Adverse Cardiovascular Events in People Newly Diagnosed with Diabetes
    Duhoe Kim, Jaehun Seo, Kyoung Hwa Ha, Dae Jung Kim
    Journal of Obesity & Metabolic Syndrome.2022; 31(2): 187.     CrossRef
  • Prevalence of Diabetic Retinopathy in Undiagnosed Diabetic Patients: A Nationwide Population-Based Study
    Han Na Jang, Min Kyong Moon, Bo Kyung Koo
    Diabetes & Metabolism Journal.2022; 46(4): 620.     CrossRef
  • Reproductive Life Span and Severe Hypoglycemia Risk in Postmenopausal Women with Type 2 Diabetes Mellitus
    Soyeon Kang, Yong-Moon Park, Dong Jin Kwon, Youn-Jee Chung, Jeong Namkung, Kyungdo Han, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2022; 46(4): 578.     CrossRef
  • Advanced Glycation End Products and Their Effect on Vascular Complications in Type 2 Diabetes Mellitus
    Jeongmin Lee, Jae-Seung Yun, Seung-Hyun Ko
    Nutrients.2022; 14(15): 3086.     CrossRef
  • The Association of Pachydrusen Characteristics with Choroidal Thickness and Patient’s Age in Polypoidal Choroidal Vasculopathy versus Central Serous Chorioretinopathy
    Young Ho Kim, Yoo-Ri Chung, Chungwoon Kim, Kihwang Lee, Won Ki Lee
    International Journal of Molecular Sciences.2022; 23(15): 8353.     CrossRef
  • Experiences of Using Wearable Continuous Glucose Monitors in Adults With Diabetes: A Qualitative Descriptive Study
    Hee Sun Kang, Hyang Rang Park, Chun-Ja Kim, Savitri Singh-Carlson
    The Science of Diabetes Self-Management and Care.2022; 48(5): 362.     CrossRef
  • Prediction Model for Hypertension and Diabetes Mellitus Using Korean Public Health Examination Data (2002–2017)
    Yong Whi Jeong, Yeojin Jung, Hoyeon Jeong, Ji Hye Huh, Ki-Chul Sung, Jeong-Hun Shin, Hyeon Chang Kim, Jang Young Kim, Dae Ryong Kang
    Diagnostics.2022; 12(8): 1967.     CrossRef
  • Recent Increases in Influenza-Related Hospitalizations, Critical Care Resource Use, and In-Hospital Mortality: A 10-Year Population-Based Study in South Korea
    Tae Hwa Hong, Hyung Seok Lee, Nam-Eun Kim, Kyu Jin Lee, Yong Kyun Kim, Jung Nam An, Joo-Hee Kim, Hyung Won Kim, Sunghoon Park
    Journal of Clinical Medicine.2022; 11(16): 4911.     CrossRef
  • Clinical and economic impact of changing reimbursement criteria for statin treatment among patients with type 2 diabetes mellitus in South Korea
    Siin Kim, Kyungseon Choi, Ji-yool Kim, Hae Sun Suh
    Frontiers in Pharmacology.2022;[Epub]     CrossRef
  • Experience of Elderly Korean Women with Diabetes and Multimorbidity in Elderly Couple Households: A Qualitative Study
    Oksoo Kim, Hyunju Dan
    Healthcare.2022; 10(9): 1675.     CrossRef
  • Long-Term Changes in HbA1c According to Blood Glucose Control Status During the First 3 Months After Visiting a Tertiary University Hospital
    Hyunah Kim, Da Young Jung, Seung-Hwan Lee, Jae-Hyoung Cho, Hyeon Woo Yim, Hun-Sung Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Sex and Diet-Related Disparities in Low Handgrip Strength among Young and Middle-Aged Koreans: Findings Based on the Korea National Health and Nutrition Examination Survey (KNHANES) from 2014 to 2017
    Inhye Kim, Kumhee Son, Su Jin Jeong, Hyunjung Lim
    Nutrients.2022; 14(18): 3816.     CrossRef
  • Rising Incidence of Diabetes in Young Adults in South Korea: A National Cohort Study
    Hyun Ho Choi, Giwoong Choi, Hojun Yoon, Kyoung Hwa Ha, Dae Jung Kim
    Diabetes & Metabolism Journal.2022; 46(5): 803.     CrossRef
  • Analysis of the Association between Metabolic Syndrome and Renal Function in Middle-Aged Patients with Diabetes
    Yoonjin Park, Su Jung Lee
    International Journal of Environmental Research and Public Health.2022; 19(18): 11832.     CrossRef
  • Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine
    Haewon Byeon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Body mass index and stroke risk among patients with diabetes mellitus in Korea
    Do Kyeong Song, Young Sun Hong, Yeon-Ah Sung, Hyejin Lee, Tariq Jamal Siddiqi
    PLOS ONE.2022; 17(9): e0275393.     CrossRef
  • Low relative hand grip strength is associated with a higher risk for diabetes and impaired fasting glucose among the Korean population
    Min Jin Lee, Ah Reum Khang, Dongwon Yi, Yang Ho Kang, Giacomo Pucci
    PLOS ONE.2022; 17(10): e0275746.     CrossRef
  • Association of Glycosylated Hemoglobin Level and Cancer-Related Mortality in Patients without Diabetes
    Tae Kyung Yoo, Mi Yeon Lee, Sul A. Lee, Eun Sun Cheong, Mi Hae Seo, Ki Chul Sung
    Journal of Clinical Medicine.2022; 11(19): 5933.     CrossRef
  • Risk of Carotid Atherosclerosis in Subjects with Prediabetes Overlapping Metabolic Syndrome
    Seol A Jang, Kyoung Min Kim, Seok Won Park, Chul Sik Kim
    Metabolic Syndrome and Related Disorders.2022; 20(10): 599.     CrossRef
  • Lifestyle changes and risk of tuberculosis in patients with type 2 diabetes mellitus: A nationwide cohort study
    Jiho Park, Ji Hyun Yoon, Hyun Kyun Ki, Kyungdo Han, Hyungjin Kim
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Analysis of Clinical and Functional Outcomes according to the Blood Sugar Control Status at the Time of Ankle Fractures Resulting from Rotational Injuries
    Jun Young Lee, Dong Seop Lim, Seung Hyun Lee, Seo Jin Park
    Journal of the Korean Fracture Society.2022; 35(4): 135.     CrossRef
  • Differences in health behavior and nutrient intake status between diabetes-aware and unaware Korean adults based on the Korea national health and nutrition examination survey 2016–18 data: A cross-sectional study
    Anshul Sharma, Chen Lulu, Kee-Ho Song, Hae-Jeung Lee
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Musculoskeletal complications in patients with diabetes mellitus
    Jong Han Choi, Hae-Rim Kim, Kee-Ho Song
    The Korean Journal of Internal Medicine.2022; 37(6): 1099.     CrossRef
  • Blood Biochemical Characteristics, Dietary Intake, and Risk Factors Related to Poor HbA1c Control in Elderly Korean Diabetes Patients: Comparison between the 4th(2007-2009) and the 7th(2016-2018) Korea National Health and Nutrition Examination Surveys
    Sung-Won Oh, Sook-Bae Kim
    Korean Journal of Community Nutrition.2022; 27(5): 406.     CrossRef
  • Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
    Juyoung Shin, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi, Hun-Sung Kim
    Journal of Personalized Medicine.2022; 12(11): 1899.     CrossRef
  • Brachial-ankle pulse wave velocity as a predictor of long-term cardiovascular events in 2174 subjects with type 2 diabetes mellitus: A retrospective cohort study
    Hack-Lyoung Kim, Won Kyeong Jeon, Hyun Sung Joh, Woo-Hyun Lim, Jae-Bin Seo, Sang-Hyun Kim, Joo-Hee Zo, Myung-A Kim
    Medicine.2022; 101(45): e31758.     CrossRef
  • Artificial Intelligence-based Prediction of Diabetes and Prediabetes Using Health Checkup Data in Korea
    Hyeonseop Yuk, Juhui Gim, Jung Kee Min, Jaesuk Yun, Tae-Young Heo
    Applied Artificial Intelligence.2022;[Epub]     CrossRef
  • Sex Differences in the Effects of CDKAL1 Variants on Glycemic Control in Diabetic Patients: Findings from the Korean Genome and Epidemiology Study
    Hye Ah Lee, Hyesook Park, Young Sun Hong
    Diabetes & Metabolism Journal.2022; 46(6): 879.     CrossRef
  • Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022
    Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon
    Diabetes & Metabolism Journal.2022; 46(6): 819.     CrossRef
  • Classification of Type 2 Diabetes Incidence Risk and the Health Behavior of the 30–50-Year-Old Korean Adults: Latent Class Analysis
    Roma Seol, Jin-Ho Chun
    International Journal of Environmental Research and Public Health.2022; 19(24): 16600.     CrossRef
  • Association between Amount of Alcohol Consumption and Serum Fasting Glucose Level in Korean Male in their 40s and 50s: The Seventh Korea National Health and Nutrition Examination Survey 2016-2018
    Jihyun Kim
    Korean Journal of Family Practice.2022; 12(5): 320.     CrossRef
  • Associated Factors with Health-related Quality of Life among Older Adults with Diabetes in Korea
    Eun-Kyung Lee, Sun-Young Jung
    The Korean Journal of Rehabilitation Nursing.2022; 25(2): 61.     CrossRef
  • Chronic Disease Prediction Using the Common Data Model: Development Study
    Chanjung Lee, Brian Jo, Hyunki Woo, Yoori Im, Rae Woong Park, ChulHyoung Park
    JMIR AI.2022; 1(1): e41030.     CrossRef
  • Threshold Dose-Response Association between Smoking Pack-Years and the Risk of Gallbladder Cancer: A Nationwide Cohort Study
    Joo-Hyun Park, Jung Yong Hong, Kyungdo Han
    SSRN Electronic Journal .2022;[Epub]     CrossRef
  • The risk of stroke according to statin medication compliance in older people with chronic periodontitis: an analysis using the Korea National Health Insurance Service-Senior Cohort Database
    Seon-Rye Kim, Minkook Son, Yu-Rin Kim
    Epidemiology and Health.2022; 44: e2022055.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
    Diabetes & Metabolism Journal.2021; 45(4): 461.     CrossRef
  • Treatment Patterns of Type 2 Diabetes Assessed Using a Common Data Model Based on Electronic Health Records of 2000–2019
    Kyung Ae Lee, Heung Yong Jin, Yu Ji Kim, Yong-Jin Im, Eun-Young Kim, Tae Sun Park
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Factors Associated with Depressive Symptoms in Korean Adults with Diabetes Mellitus: A Cross-Sectional Study
    Mihyun Jeong
    Healthcare.2021; 9(8): 1049.     CrossRef
  • Young-onset type 2 diabetes in South Korea: a review of the current status and unmet need
    Ye Seul Yang, Kyungdo Han, Tae Seo Sohn, Nam Hoon Kim
    The Korean Journal of Internal Medicine.2021; 36(5): 1049.     CrossRef
  • Metabolic Effects of Gastrectomy and Duodenal Bypass in Early Gastric Cancer Patients with T2DM: A Prospective Single-Center Cohort Study
    Young Ki Lee, Eun Kyung Lee, You Jin Lee, Bang Wool Eom, Hong Man Yoon, Young-Il Kim, Soo Jeong Cho, Jong Yeul Lee, Chan Gyoo Kim, Sun-Young Kong, Min Kyong Yoo, Yul Hwangbo, Young-Woo Kim, Il Ju Choi, Hak Jin Kim, Mi Hyang Kwak, Keun Won Ryu
    Journal of Clinical Medicine.2021; 10(17): 4008.     CrossRef
  • Sex- and Age-Specific Trends in Cardiovascular Health in Korea, 2007–2018
    So Mi Jemma Cho, Hokyou Lee, Hyeon Chang Kim
    Korean Circulation Journal.2021; 51(11): 922.     CrossRef
  • Efficacy and Safety of Switching to Teneligliptin in Patients with Type 2 Diabetes Inadequately Controlled with Dipeptidyl Peptidase-4 Inhibitors: 52-Week Results from a Prospective Observational Study
    Hae Jin Kim, Young Sik Kim, Chang Beom Lee, Moon-Gi Choi, Hyuk-Jae Chang, Soo Kyoung Kim, Jae Myung Yu, Tae Ho Kim, Ji Hyun Lee, Kyu Jeung Ahn, Kyung Wan Min, Eun Jung Kyung, Yeo Kyeong Kim, Kwan Woo Lee
    Diabetes Therapy.2021; 12(11): 2907.     CrossRef
  • RANTES 59029A/G Polymorphisms Associated with Diabetic Compilations in Korean Patients with Type 2 Diabetes for over 15 Years
    Dong-Hwa Lee, Eu-Jeong Ku, Tae-Keun Oh, Hyun-Jeong Jeon
    Genes.2021; 12(9): 1445.     CrossRef
  • Combination of Statin and Ezetimibe versus Statin Monotherapy on Cardiovascular Disease and Type 2 Diabetes Incidence among Adults with Impaired Fasting Glucose: a Propensity-Matched Nationwide Cohort Study
    You-Bin Lee, Bongsung Kim, Kyungdo Han, Jung A Kim, Eun Roh, So-hyeon Hong, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
    Journal of Lipid and Atherosclerosis.2021; 10(3): 303.     CrossRef
  • A Century of Progress in Diabetes Care with Insulin: A History of Innovations and Foundation for the Future
    Seung-Hwan Lee, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2021; 45(5): 629.     CrossRef
  • Proteinuria as a significant predictive factor for the progression of carotid artery atherosclerosis in non-albuminuric type 2 diabetes
    Young-eun Kim, Minyoung Lee, Yong-ho Lee, Eun Seok Kang, Bong-soo Cha, Byung-Wan Lee
    Diabetes Research and Clinical Practice.2021; 181: 109082.     CrossRef
  • Symptom Clusters and Quality of Life in Patients with Type 2 Diabetes Mellitus
    Su-Yeon Hong, Yang-Sook Yoo
    Korean Journal of Adult Nursing.2021; 33(5): 498.     CrossRef
  • The association between triglyceride-glucose index, cardio-cerebrovascular diseases, and death in Korean adults: A retrospective study based on the NHIS-HEALS cohort
    Joungyoun Kim, Sang-Jun Shin, Hee-Taik Kang, Claudio Passino
    PLOS ONE.2021; 16(11): e0259212.     CrossRef
  • Effect of Breastfeeding and Its Duration on Impaired Fasting Glucose and Diabetes in Perimenopausal and Postmenopausal Women: Korea National Health and Nutrition Examination Survey (KNHANES) 2010–2019
    Byung-Soo Kwan, In-Ae Cho, Ji-Eun Park
    Medicines.2021; 8(11): 71.     CrossRef
  • The Correlation between Carotid Intima-Media Thickness and Neutrophil to Lymphocyte Ratio in Prediabetes Patients
    Dayoung Lee, Mi-Jeong Park, Mee Young Kim, Jung Jin Cho, Jong Lull Yoon
    Korean Journal of Family Medicine.2021; 42(6): 464.     CrossRef
  • Muscle strength, an independent determinant of glycemic control in older adults with long-standing type 2 diabetes: a prospective cohort study
    Bo Kyung Koo, Seoil Moon, Min Kyong Moon
    BMC Geriatrics.2021;[Epub]     CrossRef
  • Restoration for the foregut surgery: bridging gaps between foregut surgery practice and academia
    Ye-lim Shin, Shin-Hoo Park, Yeongkeun Kwon, Chang Min Lee, Sungsoo Park
    Journal of Minimally Invasive Surgery.2021; 24(4): 175.     CrossRef
  • Prevalence and Treatment of Diabetes in China, 2013-2018
    Limin Wang, Wen Peng, Zhenping Zhao, Mei Zhang, Zumin Shi, Ziwei Song, Xiao Zhang, Chun Li, Zhengjing Huang, Xiaomin Sun, Linhong Wang, Maigeng Zhou, Jing Wu, Youfa Wang
    JAMA.2021; 326(24): 2498.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
    Seung-Hyun Ko
    The Journal of Korean Diabetes.2021; 22(4): 244.     CrossRef
  • Spatiotemporal analyses of the epidemiological characteristics of diabetes mellitus
    Sang Youl Rhee
    Epidemiology and Health.2021; 43: e2021102.     CrossRef
  • Associations between grip strength and glycemic control in type 2 diabetes mellitus: an analysis of data from the 2014-2019 Korea National Health and Nutrition Examination Survey
    Harim Choe, Hoyong Sung, Geon Hui Kim, On Lee, Hyo Youl Moon, Yeon Soo Kim
    Epidemiology and Health.2021; 43: e2021080.     CrossRef
Review
Technology/Device
Present and Future of Digital Health in Diabetes and Metabolic Disease
Sang Youl Rhee, Chiweon Kim, Dong Wook Shin, Steven R. Steinhubl
Diabetes Metab J. 2020;44(6):819-827.   Published online December 23, 2020
DOI: https://doi.org/10.4093/dmj.2020.0088
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AbstractAbstract PDFPubReader   ePub   
The use of information and communication technology (ICT) in medical and healthcare services goes beyond everyday life. Expectations of a new medical environment, not previously experienced by ICT, exist in the near future. In particular, chronic metabolic diseases such as diabetes and obesity, have a high prevalence and high social and economic burden. In addition, the continuous evaluation and monitoring of daily life is important for effective treatment and management. Therefore, the wide use of ICTbased digital health systems is required for the treatment and management of these diseases. In this article, we compiled a variety of digital health technologies introduced to date in the field of diabetes and metabolic diseases.

Citations

Citations to this article as recorded by  
  • Digital Health in Diabetes and Cardiovascular Disease
    Dorothy Avoke, Abdallah Elshafeey, Robert Weinstein, Chang H. Kim, Seth S. Martin
    Endocrine Research.2024; : 1.     CrossRef
  • Weight Management Health Note, a Mobile Health Platform for Obesity Management Developed by the Korean Society for the Study of Obesity
    Yujung Lee, Hyunji Sang, Sunyoung Kim, Doo Ah Choi, Sang Youl Rhee
    Journal of Obesity & Metabolic Syndrome.2024; 33(1): 1.     CrossRef
  • A data-driven approach to manage type 2 diabetes mellitus through digital health: The Klivo Intervention Program protocol (KIPDM)
    Camila Maciel de Oliveira, Luiza Borcony Bolognese, Mercedes Balcells, Davi Casale Aragon, Roberto Luis Zagury, Clemente Nobrega, Chunyu Liu, Dured Dardari
    PLOS ONE.2023; 18(2): e0281844.     CrossRef
  • Public Health Framework for Smart Cities within the Comprehensive Approach to Sustainability in Europe: Case Study of Diabetes
    Luís Velez Lapão, Jorge César Correia, Marija Jevtic
    Sustainability.2023; 15(5): 4269.     CrossRef
  • Lessons for Vietnam on the Use of Digital Technologies to Support Patient-Centered Care in Low- and Middle-Income Countries in the Asia-Pacific Region: Scoping Review
    Leona Kosowicz, Kham Tran, Toan Tran Khanh, Thu Ha Dang, Van An Pham, Hue Ta Thi Kim, Hoang Thi Bach Duong, Tran Dong Nguyen, Anh Tuyet Phuong, Trong Hieu Le, Van Anh Ta, Nilmini Wickramasinghe, Penelope Schofield, John Zelcer, Tuan Pham Le, Tuan Anh Nguy
    Journal of Medical Internet Research.2023; 25: e43224.     CrossRef
  • Digital health, cardiometabolic disease and ethnicity: an analysis of United Kingdom government policies from 2010 to 2022
    Zareen Thorlu-Bangura, Lydia Poole, Harpreet Sood, Nushrat Khan, Fiona Stevenson, Kamlesh Khunti, Paramjit Gill, Madiha Sajid, Wasim Hanif, Neeraj Bhala, Shivali Modha, Kiran Patel, Ann Blandford, Amitava Banerjee, Mel Ramasawmy
    Journal of Public Health Policy.2023; 44(2): 179.     CrossRef
  • Digital Behavior Change Interventions to Reduce Sedentary Behavior and Promote Physical Activity in Adults with Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
    Xiaoyan Zhang, Xue Qiao, Ke Peng, Shan Gao, Yufang Hao
    International Journal of Behavioral Medicine.2023;[Epub]     CrossRef
  • Exploring the underlying mechanisms of obesity and diabetes and the potential of Traditional Chinese Medicine: an overview of the literature
    Yan-kun Chen, Ting-ting Liu, Farah Khameis Farag Teia, Meng-zhou Xie
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Stakeholders’ Perceptions Regarding Digital Therapeutics Reimbursement in South Korea: Qualitative Study
    Boram Sim, Jin Han Ju, Byungsoo Kim, Jin Yong Lee
    JMIR mHealth and uHealth.2023; 11: e47407.     CrossRef
  • Research Trends in Motivation and Weight Loss: A Bibliometric-Based Review
    Uroš Železnik, Peter Kokol, Jasmina Starc, Danica Železnik, Jernej Završnik, Helena Blažun Vošner
    Healthcare.2023; 11(23): 3086.     CrossRef
  • Analysis of the management and therapeutic performance of diabetes mellitus employing special target
    Hong-Yan Sun, Xiao-Yan Lin
    World Journal of Diabetes.2023; 14(12): 1721.     CrossRef
  • Psychoeducational Interventions in Children and Adolescents with Type-1 Diabetes: A Systematic Review
    Bárbara Luque, Joaquín Villaécija, Rosario Castillo-Mayén, Esther Cuadrado, Sebastián Rubio, Carmen Tabernero
    Clínica y Salud.2022; 33(1): 35.     CrossRef
  • Prevalence of Hyperuricemia Among Chinese Adults: Findings From Two Nationally Representative Cross-Sectional Surveys in 2015–16 and 2018–19
    Mei Zhang, Xiaoxia Zhu, Jing Wu, Zhengjing Huang, Zhenping Zhao, Xiao Zhang, Yu Xue, Weiguo Wan, Chun Li, Wenrong Zhang, Linhong Wang, Maigeng Zhou, Hejian Zou, Limin Wang
    Frontiers in Immunology.2022;[Epub]     CrossRef
  • Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study
    ‪Yifat Fundoiano-Hershcovitz, Dror Bacher, Marilyn D Ritholz, David L Horwitz, Omar Manejwala, Pavel Goldstein
    Journal of Medical Internet Research.2022; 24(2): e32923.     CrossRef
  • The effectiveness of a structured group education programme for people with established type 2 diabetes in a multi-ethnic population in primary care: A cluster randomised trial
    Helen Dallosso, Panna Mandalia, Laura J. Gray, Yogini V. Chudasama, Sopna Choudhury, Shahrad Taheri, Naina Patel, Kamlesh Khunti, Melanie J. Davies
    Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(6): 1549.     CrossRef
  • Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial
    Eun Young Lee, Seon-Ah Cha, Jae-Seung Yun, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Min Kyung Hyun, Seung-Hyun Ko
    Journal of Medical Internet Research.2022; 24(7): e37430.     CrossRef
  • Qatar Diabetes Mobile Application Trial (QDMAT): an open-label randomised controlled trial to examine the impact of using a mobile application to improve diabetes care in type 2 diabetes mellitus—a study protocol
    Noor Suleiman, Meis Alkasem, Zaina Al Amer, Obada Salameh, Noora Al-Thani, Mohammad Khair Hamad, Khaled Baagar, Ibrahem Abdalhakam, Manal Othman, Ragae Dughmosh, Dabia Al-Mohanadi, Ali Al Sanousi, Mohammed Bashir, Odette Chagoury, Shahrad Taheri, Abdul-Ba
    Trials.2022;[Epub]     CrossRef
  • Digital environment: An evolutionary component in environmental health
    Afiqah Syamimi Masrani, Nik Rosmawati Nik Husain
    Journal of Public Health Research.2022; 11(2): 227990362211031.     CrossRef
  • Innovations in Cardio-oncology Resulting from the COVID-19 Pandemic
    Lavanya Kondapalli, Garima Arora, Riem Hawi, Efstathia Andrikopoulou, Courtney Estes, Nirav Patel, Carrie G. Lenneman
    Current Treatment Options in Oncology.2022; 23(9): 1288.     CrossRef
  • Effects of peer support and mobile application-based walking programme on physical activity and physical function in rural older adults: a cluster randomized controlled trial
    Xue Cai, Shanhu Qiu, Dan Luo, Ruxue Li, Chengyu Liu, Yanhui Lu, Cuirong Xu, Mingzi Li
    European Geriatric Medicine.2022; 13(5): 1187.     CrossRef
Original Articles
Cardiovascular Risk/Epidemiology
Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults
Eun-Jung Rhee, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Yang-Hyun Kim, Won-Young Lee
Diabetes Metab J. 2020;44(4):592-601.   Published online April 20, 2020
DOI: https://doi.org/10.4093/dmj.2019.0104
Correction in: Diabetes Metab J 2020;44(5):783
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

Recent studies suggest an association between diabetes and increased risk of heart failure (HF). However, the associations among obesity status, glycemic status, and risk of HF are not known. In this study, we analyzed whether the risk of HF increases in participants according to baseline glycemic status and whether this increased risk is associated with obesity status.

Methods

We analyzed the risk of HF according to baseline glycemic status (normoglycemia, impaired fasting glucose [IFG], and diabetes) in 9,720,220 Koreans who underwent Korean National Health Screening in 2009 without HF at baseline with a median follow-up period of 6.3 years. The participants were divided into five and six groups according to baseline body mass index (BMI) and waist circumference, respectively.

Results

Participants with IFG and those with diabetes showed a 1.08- and 1.86-fold increased risk of HF, respectively, compared to normoglycemic participants. Compared to the normal weight group (BMI, 18.5 to 22.9 kg/m2), the underweight group (BMI <18.5 kg/m2) showed a 1.7-fold increased risk of HF, and those with BMI ≥30 kg/m2 showed a 1.1-fold increased risk of HF, suggesting a J-shaped association with BMI. When similar analyses were performed for different glycemic statuses, the J-shaped association between BMI and HF risk was consistently observed in both groups with and without diabetes.

Conclusion

Participants with IFG and diabetes showed a significantly increased HF risk compared to normoglycemic participants. This increased risk of HF was mostly prominent in underweight and class II obese participants than in participants with normal weight.

Citations

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  • Association between underweight and risk of heart failure in diabetes patients
    Tae Kyung Yoo, Kyung‐Do Han, Eun‐Jung Rhee, Won‐Young Lee
    Journal of Cachexia, Sarcopenia and Muscle.2024; 15(2): 671.     CrossRef
  • Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
    Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
    Endocrinology and Metabolism.2023; 38(1): 10.     CrossRef
  • Research on obesity using the National Health Information Database: recent trends
    Eun-Jung Rhee
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 35.     CrossRef
  • Impact of mental disorders on the risk of heart failure among Korean patients with diabetes: a cohort study
    Tae Kyung Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Differential Impact of Obesity on the Risk of Diabetes Development in Two Age Groups: Analysis from the National Health Screening Program
    Tae Kyung Yoo, Kyung-Do Han, Yang-Hyun Kim, Ga Eun Nam, Sang Hyun Park, Eun-Jung Rhee, Won-Young Lee
    Diabetes & Metabolism Journal.2023; 47(6): 846.     CrossRef
  • Characterization of the oxidative stress and inflammatory markers in metabolically healthy obese individuals
    Hazhmat Ali
    Al-Kufa University Journal for Biology.2023; 15(3): 28.     CrossRef
  • The Influence of Obesity and Metabolic Health on Vascular Health
    Eun-Jung Rhee
    Endocrinology and Metabolism.2022; 37(1): 1.     CrossRef
  • Changes in Patterns of Physical Activity and Risk of Heart Failure in Newly Diagnosed Diabetes Mellitus Patients
    Inha Jung, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Eun-Jung Rhee, Won-Young Lee
    Diabetes & Metabolism Journal.2022; 46(2): 327.     CrossRef
  • Evaluating Triglyceride and Glucose Index as a Simple and Easy-to-Calculate Marker for All-Cause and Cardiovascular Mortality
    Kyung-Soo Kim, Sangmo Hong, You-Cheol Hwang, Hong-Yup Ahn, Cheol-Young Park
    Journal of General Internal Medicine.2022; 37(16): 4153.     CrossRef
  • Impact of hypoglycemia at the time of hospitalization for heart failure from emergency department on major adverse cardiovascular events in patients with and without type 2 diabetes
    Seon-Ah Cha, Jae-Seung Yun, Gee-Hee Kim, Yu-Bae Ahn
    Cardiovascular Diabetology.2022;[Epub]     CrossRef
  • Insulin resistance and heart failure with preserved ejection fraction. Pathogenetic and therapeutic crossroads
    O. V. Tsygankova, N. E. Evdokimova, V. V. Veretyuk, L. D. Latyntseva, A. S. Ametov
    Diabetes mellitus.2022; 25(6): 535.     CrossRef
  • The association between metabolic syndrome and heart failure in middle-aged male and female: Korean population-based study of 2 million individuals
    Tae-Eun Kim, Hyeongsu Kim, JiDong Sung, Duk-Kyung Kim, Myoung-Soon Lee, Seong Woo Han, Hyun-Joong Kim, Sung Hea Kim, Kyu-Hyung Ryu
    Epidemiology and Health.2022; 44: e2022078.     CrossRef
  • Diabetes and Heart Failure
    Eun-Jung Rhee
    The Journal of Korean Diabetes.2021; 22(1): 12.     CrossRef
  • Prediabetes and the risk of heart failure: A meta‐analysis
    Xiaoyan Cai, Xiong Liu, Lichang Sun, Yiting He, Sulin Zheng, Yang Zhang, Yuli Huang
    Diabetes, Obesity and Metabolism.2021; 23(8): 1746.     CrossRef
  • Diabetes and Heart Failure
    Eun-Jung Rhee
    Cardiovascular Prevention and Pharmacotherapy.2021; 3(2): 21.     CrossRef
  • Effects of Lipid Overload on Heart in Metabolic Diseases
    An Yan, Guinan Xie, Xinya Ding, Yi Wang, Liping Guo
    Hormone and Metabolic Research.2021; 53(12): 771.     CrossRef
  • Obesity Degree and Glycemic Status: Factors That Should Be Considered in Heart Failure
    Hye Soon Kim
    Diabetes & Metabolism Journal.2020; 44(4): 529.     CrossRef
  • Letter: Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults (Diabetes Metab J 2020;44:592-601)
    Darae Kim
    Diabetes & Metabolism Journal.2020; 44(5): 777.     CrossRef
  • Response: Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults (Diabetes Metab J 2020;44:592-601)
    Eun-Jung Rhee, Won-Young Lee
    Diabetes & Metabolism Journal.2020; 44(5): 781.     CrossRef
Complications
Deterioration of Sleep Quality According to Glycemic Status
Myung Haeng Hur, Mi-Kyoung Lee, Kayeon Seong, Jun Hwa Hong
Diabetes Metab J. 2020;44(5):679-686.   Published online April 17, 2020
DOI: https://doi.org/10.4093/dmj.2019.0125
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Background

Type 2 diabetes mellitus (T2DM) is a progressive disease with multiple complications. The present study aimed to determine the effects of glycemic status on sleep quality in individuals with T2DM, prediabetes, and normal glucose tolerance (NGT).

Methods

A total of 90 participants were categorized into three groups, T2DM (n=30), prediabetes (n=30), and NGT (n=30). Objective sleep quality was measured with the actigraph wrist-worn device over 3 nights and subjective sleep quality was evaluated with a questionnaire.

Results

The duration of diabetes in the T2DM group was 2.23 years and the glycosylated hemoglobin (HbA1c) levels in the T2DM, prediabetes, and NGT groups were 7.83%, 5.80%, and 5.31%, respectively. Sleep efficiency decreased across the T2DM, prediabetes, and NGT groups (86.25%, 87.99%, and 90.22%, respectively; P=0.047). Additionally, HbA1c levels revealed a significant negative correlation with sleep efficiency (r=−0.348, P=0.001). The sleep quality questionnaire results were similar among the three groups.

Conclusion

Although the participants in the present study were not necessarily conscious of their sleep disturbances, deterioration in sleep quality progressed according to glycemic status.

Citations

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  • Risk factors of non communicable diseases among recently diagnosed diabetic patients in a tertiary care Hospital
    Yusra Amin, Sonia Mushtaq, Rukhsana Farooq
    Indian Journal of Clinical Anatomy and Physiology.2024; 10(4): 205.     CrossRef
  • Metabolic health tracking using Ultrahuman M1 continuous glucose monitoring platform in non- and pre-diabetic Indians: a multi-armed observational study
    Monik Chaudhry, Mohit Kumar, Vatsal Singhal, Bhuvan Srinivasan
    Scientific Reports.2024;[Epub]     CrossRef
  • Relation between sleep quality and glycemic control among type 2 diabetic patients
    Asmaa Ali Elsayed Ali
    Frontiers of Nursing.2023; 10(1): 115.     CrossRef
  • Heart rate variability in different sleep stages is associated with metabolic function and glycemic control in type 2 diabetes mellitus
    Wenquan Cheng, Hongsen Chen, Leirong Tian, Zhimin Ma, Xingran Cui
    Frontiers in Physiology.2023;[Epub]     CrossRef
  • Association Between Diabetic Retinopathy and Insomnia Risk: A Nationwide Population-Based Study
    Yoo Hyun Um, Tae-Won Kim, Jong-Hyun Jeong, Seung-Chul Hong, Ho-Jun Seo, Kyung-Do Han
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Nutritional Biomarkers and Factors Correlated with Poor Sleep Status among Young Females: A Case-Control Study
    Sara AL-Musharaf, Lama AlAjllan, Ghadeer Aljuraiban, Munirah AlSuhaibani, Noura Alafif, Syed Danish Hussain
    Nutrients.2022; 14(14): 2898.     CrossRef
  • The impact of sleep disorders on microvascular complications in patients with type 2 diabetes (SLEEP T2D): the protocol of a cohort study and feasibility randomised control trial
    Christina Antza, Ryan Ottridge, Smitaa Patel, Gemma Slinn, Sarah Tearne, Matthew Nicholls, Brendan Cooper, Asad Ali, Abd A. Tahrani
    Pilot and Feasibility Studies.2021;[Epub]     CrossRef
  • Early Development of Bidirectional Associations between Sleep Disturbance and Diabetes
    Yongin Cho
    Diabetes & Metabolism Journal.2020; 44(5): 668.     CrossRef
Complications
Association of Snoring with Prediabetes and Type 2 Diabetes Mellitus: The Cardiovascular and Metabolic Diseases Etiology Research Center Cohort
So Mi Jemma Cho, Hokyou Lee, Jee-Seon Shim, Hyeon Chang Kim
Diabetes Metab J. 2020;44(5):687-698.   Published online April 16, 2020
DOI: https://doi.org/10.4093/dmj.2019.0128
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

Evidence suggests that habitual snoring is an independent risk factor for poor glycemic health. We examined the associations between snoring with prediabetes and diabetes in Korean population.

Methods

Self-reported snoring characteristics were collected from 3,948 middle-aged adults without prior cardiovascular diseases. Multivariable linear regression assessed the association of snoring intensity, frequency, disruptiveness, and disrupted breathing with fasting glucose and glycosylated hemoglobin (HbA1c) level. Then, multinomial regression evaluated how increasing snoring symptoms are associated with the risk for prediabetes and diabetes, adjusting for socioeconomic and behavioral risk factors of diabetes, obesity, hypertension, and other sleep variables.

Results

Higher snoring intensity and frequency were positively associated with fasting glucose and HbA1c levels. Participants presenting the most severe snoring were at 1.84 times higher risk (95% confidence interval [CI], 1.09 to 2.29) for prediabetes and 2.24 times higher risk (95% CI, 1.84 to 2.95) for diabetes, compared to non-snorers. Such graded association was also observed amongst the most frequent snorers with higher risk for prediabetes (odds ratio [OR], 1.78; 95% CI, 1.29 to 2.22) and diabetes (OR, 2.03; 95% CI, 1.45 to 2.85). Disruptive snoring (OR, 1.60; 95% CI, 1.12 to 2.28) and near-daily disruptive breathing (OR, 2.18; 95% CI, 1.02 to 4.19) were associated with higher odds for diabetes. Such findings remained robust after additional adjustment for sleep duration, excessive daytime sleepiness, unwakefulness, and sleep-deprived driving.

Conclusion

Snoring is associated with impaired glucose metabolism even in otherwise metabolically healthy adults. Habitual snorers may require lifestyle modifications and pharmacological treatment to improve glycemic profile.

Citations

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  • Does seasonality affect snoring? A study based on international data from the past decade
    Ping Wang, Cai Chen, Xingwei Wang, Ningling Zhang, Danyang Lv, Wei Li, Fulai Peng, Xiuli Wang
    Sleep and Breathing.2023; 27(4): 1297.     CrossRef
  • Association Between Snoring and Diabetes Among Pre- and Postmenopausal Women
    Yun Yuan, Fan Zhang, Jingfu Qiu, Liling Chen, Meng Xiao, Wenge Tang, Qinwen Luo, Xianbin Ding, Xiaojun Tang
    International Journal of General Medicine.2022; Volume 15: 2491.     CrossRef
  • Elevated fasting insulin results in snoring: A view emerged from causal evaluation of glycemic traits and snoring
    Minhan Yi, Quanming Fei, Kun Liu, Wangcheng Zhao, Ziliang Chen, Yuan Zhang
    European Journal of Clinical Investigation.2022;[Epub]     CrossRef
  • Sleeping Duration, Napping and Snoring in Association with Diabetes Control among Patients with Diabetes in Qatar
    Hiba Bawadi, Asma Al Sada, Noof Al Mansoori, Sharifa Al Mannai, Aya Hamdan, Zumin Shi, Abdelhamid Kerkadi
    International Journal of Environmental Research and Public Health.2021; 18(8): 4017.     CrossRef
  • Changes in creatinine‐to‐cystatin C ratio over 4 years, risk of diabetes, and cardiometabolic control: The China Health and Retirement Longitudinal Study
    Shanhu Qiu, Xue Cai, Yang Yuan, Bo Xie, Zilin Sun, Tongzhi Wu
    Journal of Diabetes.2021; 13(12): 1025.     CrossRef
  • Association Between Self-Reported Snoring and Metabolic Syndrome: A Systematic Review and Meta-Analysis
    Jinsha Ma, Huifang Zhang, Hui Wang, Qian Gao, Heli Sun, Simin He, Lingxian Meng, Tong Wang
    Frontiers in Neurology.2020;[Epub]     CrossRef
  • Early Development of Bidirectional Associations between Sleep Disturbance and Diabetes
    Yongin Cho
    Diabetes & Metabolism Journal.2020; 44(5): 668.     CrossRef
Short Communication
Epidemiology
Low-Normal Free Thyroxine Levels in Euthyroid Male Are Associated with Prediabetes
Sung Woo Kim, Jae-Han Jeon, Jun Sung Moon, Eon Ju Jeon, Mi-Kyung Kim, In-Kyu Lee, Jung Beom Seo, Keun-Gyu Park
Diabetes Metab J. 2019;43(5):718-726.   Published online March 19, 2019
DOI: https://doi.org/10.4093/dmj.2018.0222
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AbstractAbstract PDFSupplementary MaterialPubReader   

Abnormal thyroid function is associated with impaired glucose homeostasis. This study aimed to determine whether free thyroxine (FT4) influences the prevalence of prediabetes in euthyroid subjects using a cross-sectional survey derived from the Korea National Health and Nutrition Examination Survey, conducted between 2013 and 2015. We studied 2,399 male participants of >20 years of age who were euthyroid and non-diabetic. Prediabetic participants had lower FT4 concentrations than those without prediabetes, but their thyrotropin concentrations were similar. We stratified the population into tertiles according to FT4 concentration. After adjusting for multiple confounding factors, glycosylated hemoglobin (HbA1c) levels significantly decreased with increasing FT4 tertile, whereas fasting plasma glucose (FPG) levels were not associated with FT4 tertiles (HbA1c, P<0.01 in T3 vs. T1; FPG, P=0.489 in T3 vs. T1). The prevalence of prediabetes was significantly higher in T1 (odds ratio, 1.426; 95% confidence interval, 1.126 to 1.806; P<0.01) than in T3. In conclusion, subjects with low-normal serum FT4 had high HbA1c and were more likely to have prediabetes. These results suggest that low FT4 concentration is a risk factor for prediabetes in male, even when thyroid function is within the normal range.

Original Article
Epidemiology
Discrepancies between Glycosylated Hemoglobin and Fasting Plasma Glucose for Diagnosing Impaired Fasting Glucose and Diabetes Mellitus in Korean Youth and Young Adults
Jieun Lee, Young Ah Lee, Jae Hyun Kim, Seong Yong Lee, Choong Ho Shin, Sei Won Yang
Diabetes Metab J. 2019;43(2):174-182.   Published online November 2, 2018
DOI: https://doi.org/10.4093/dmj.2018.0046
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AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Glycosylated hemoglobin (HbA1c) has been recommended as a diagnostic test for prediabetes and diabetes. Here, we evaluated the level of agreement between diagnoses based on fasting plasma glucose (FPG) versus HbA1c levels and determined optimal HbA1c cutoff values for these diseases in youth and young adults.

Methods

The study included 7,332 subjects (n=4,129, aged 10 to 19 years in youth group; and n=3,203 aged 20 to 29 years in young adult group) from the 2011 to 2016 Korea National Health and Nutrition Examination Survey. Prediabetes and diabetes were defined as 100 to 125 mg/dL (impaired fasting glucose [IFG]) and ≥126 mg/dL for FPG (diabetes mellitus [DM] by FPG [DMFPG]), and 5.7% to 6.4% and ≥6.5% for HbA1c, respectively.

Results

In the youth group, 32.5% with IFG had an HbA1c level of 5.7% to 6.4%, and 72.2% with DMFPG had an HbA1c ≥6.5%. In the young adult group, 27.5% with IFG had an HbA1c level of 5.7% to 6.4%, and 66.6% with DMFPG had an HbA1c ≥6.5%. Kappa coefficients for agreement between the FPG and HbA1c results were 0.12 for the youth group and 0.19 for the young adult group. In receiver operating characteristic curve analysis, the optimal HbA1c cutoff for IFG and DMFPG were 5.6% and 5.9% in youths and 5.5% and 5.8% in young adults, respectively.

Conclusion

Usefulness of HbA1c for diagnosis of IFG and DMFPG in Koreans aged <30 years remains to be determined due to discrepancies between the results of glucose- and HbA1c-based tests. Additional testing might be warranted at lower HbA1c levels to detect IFG and DMFPG in this age group.

Citations

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  • Lower Dietary Magnesium Is Associated with a Higher Hemoglobin Glycation Index in the National Health and Nutrition Examination Survey
    Juan Chen, Song Lin, Xingzhou Wang, Xiwei Wang, Pengxia Gao
    Biological Trace Element Research.2024; 202(3): 878.     CrossRef
  • Glycemic traits and colorectal cancer survival in a cohort of South Korean patients: A Mendelian randomization analysis
    So Yon Jun, Sooyoung Cho, Min Jung Kim, Ji Won Park, Seung‐Bum Ryoo, Seung Yong Jeong, Kyu Joo Park, Aesun Shin
    Cancer Medicine.2024;[Epub]     CrossRef
  • Associations between HbA1c-derived estimated average glucose and fasting plasma glucose in patients with normal and abnormal hemoglobin patterns
    Wilaiwan Sriwimol, Phattanapong Choosongsang, Pensiri Choosongsang, Warakorn Petkliang, Pittaya Treerut
    Scandinavian Journal of Clinical and Laboratory Investigation.2022; 82(3): 192.     CrossRef
  • Increasing prevalence of fasting hyperglycemia in adolescents aged 10–18 years and its relationship with metabolic indicators: the Korea National Health and Nutrition Examination Study (KNHANES), 2007–2018
    Seung Eun Yoo, Ji Hyen Lee, Jung Won Lee, Hye Sook Park, Hye Ah Lee, Hae Soon Kim
    Annals of Pediatric Endocrinology & Metabolism.2022; 27(1): 60.     CrossRef
  • Differences in Clinical Indicators of Diabetes, Hypertension, and Dyslipidemia Among Workers Who Worked Long Hours and Shift Work
    EunKyo Kang
    Workplace Health & Safety.2021; 69(6): 268.     CrossRef
  • Practice Patterns in the Acceptance of Medically Complex Living Kidney Donors with Obesity, Hypertension, Family History of Kidney Disease, or Donor-Recipient Age Discrepancy
    Ziad Arabi, Muhammad Bukhari, Abdullah Hamad, Abdulrahman Altheaby, Saleh Kaysi
    Avicenna Journal of Medicine.2021; 11(04): 172.     CrossRef
  • Endocrine comorbidities of pediatric obesity
    Jieun Lee, Jae Hyun Kim
    Clinical and Experimental Pediatrics.2021; 64(12): 619.     CrossRef
  • Association between handgrip strength and cardiovascular risk factors among Korean adolescents
    Kyoung Kon Kim, Kyu Rae Lee, In Cheol Hwang
    Journal of Pediatric Endocrinology and Metabolism.2020; 33(9): 1213.     CrossRef
  • Hypertriglyceridemia is associated with long-term risk of cardiovascular events and specific comorbidity in very high-risk hypertensive patients
    O. Ya. Korolyuk, O. M. Radchenko
    The Ukrainian Biochemical Journal.2020; 92(2): 8.     CrossRef
  • The Effect of Bariatric Surgery on Weight Loss and Metabolic Changes in Adults with Obesity
    Stanisław Głuszek, Arkadiusz Bociek, Edyta Suliga, Jarosław Matykiewicz, Magdalena Kołomańska, Piotr Bryk, Przemysław Znamirowski, Łukasz Nawacki, Martyna Głuszek-Osuch, Iwona Wawrzycka, Dorota Kozieł
    International Journal of Environmental Research and Public Health.2020; 17(15): 5342.     CrossRef
  • Peculiarities of Clinical Presentations and Long–Term Complications in Patients with Coronary Artery Disease and Metabolic Syndrome, depending on their Serum Triglyceride Levels
    O. Ya. Korolyuk
    Ukraïnsʹkij žurnal medicini, bìologìï ta sportu.2020; 5(1): 125.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal