Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
40 "Risk factors"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Review
Lifestyle
Article image
Ultra-Processed Foods and the Impact on Cardiometabolic Health: The Role of Diet Quality
Xiaowen Wang, Qi Sun
Diabetes Metab J. 2024;48(6):1047-1055.   Published online November 21, 2024
DOI: https://doi.org/10.4093/dmj.2024.0659
  • 456 View
  • 66 Download
AbstractAbstract PDFPubReader   ePub   
The consumption of ultra-processed foods (UPFs) has surged globally, raising significant public health concerns due to their associations with a range of adverse health outcomes. This review aims to elucidate potential health impacts of UPF intake and underscore the importance of considering diet quality when interpreting study findings. UPF group, as classified by the Nova system based on the extent of industrial processing, contains numerous individual food items with a wide spectrum of nutrient profiles, as well as differential quality as reflected by their potential health effects. The quality of a given food may well misalign with the processing levels so that a UPF food can be nutritious and healthful whereas a non-UPF food can be of low quality and excess intake of which may lead to adverse health consequences. The current review argues that it is critical to focus on the nutritional content and quality of foods and their role within the overall dietary pattern rather than only the level of processing. Further research should dissect health effects of diet quality and food processing, investigate the health impacts of ingredients that render the UPF categorization, understand roles of metabolomics and the gut microbiome in mediating and modulating the health effects of food processing, and consider environmental sustainability in UPF studies. Emphasizing nutrient-dense healthful foods and dietary patterns shall remain the pivotal strategy for promoting overall health and preventing chronic diseases.
Original Articles
Complications
Article image
Construction of Risk Prediction Model of Type 2 Diabetic Kidney Disease Based on Deep Learning
Chuan Yun, Fangli Tang, Zhenxiu Gao, Wenjun Wang, Fang Bai, Joshua D. Miller, Huanhuan Liu, Yaujiunn Lee, Qingqing Lou
Diabetes Metab J. 2024;48(4):771-779.   Published online April 30, 2024
DOI: https://doi.org/10.4093/dmj.2023.0033
  • 2,237 View
  • 235 Download
AbstractAbstract PDFPubReader   ePub   
Background
This study aimed to develop a diabetic kidney disease (DKD) prediction model using long short term memory (LSTM) neural network and evaluate its performance using accuracy, precision, recall, and area under the curve (AUC) of the receiver operating characteristic (ROC) curve.
Methods
The study identified DKD risk factors through literature review and physician focus group, and collected 7 years of data from 6,040 type 2 diabetes mellitus patients based on the risk factors. Pytorch was used to build the LSTM neural network, with 70% of the data used for training and the other 30% for testing. Three models were established to examine the impact of glycosylated hemoglobin (HbA1c), systolic blood pressure (SBP), and pulse pressure (PP) variabilities on the model’s performance.
Results
The developed model achieved an accuracy of 83% and an AUC of 0.83. When the risk factor of HbA1c variability, SBP variability, or PP variability was removed one by one, the accuracy of each model was significantly lower than that of the optimal model, with an accuracy of 78% (P<0.001), 79% (P<0.001), and 81% (P<0.001), respectively. The AUC of ROC was also significantly lower for each model, with values of 0.72 (P<0.001), 0.75 (P<0.001), and 0.77 (P<0.05).
Conclusion
The developed DKD risk predictive model using LSTM neural networks demonstrated high accuracy and AUC value. When HbA1c, SBP, and PP variabilities were added to the model as featured characteristics, the model’s performance was greatly improved.
Metabolic Risk/Epidemiology
Article image
Biologically Informed Polygenic Scores for Brain Insulin Receptor Network Are Associated with Cardiometabolic Risk Markers and Diabetes in Women
Jannica S. Selenius, Patricia P. Silveira, Mikaela von Bonsdorff, Jari Lahti, Hannu Koistinen, Riitta Koistinen, Markku Seppälä, Johan G. Eriksson, Niko S. Wasenius
Diabetes Metab J. 2024;48(5):960-970.   Published online March 25, 2024
DOI: https://doi.org/10.4093/dmj.2023.0039
  • 2,185 View
  • 141 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To investigate associations between variations in the co-expression-based brain insulin receptor polygenic score and cardiometabolic risk factors and diabetes mellitus.
Methods
This cross-sectional study included 1,573 participants from the Helsinki Birth Cohort Study. Biologically informed expression-based polygenic risk scores for the insulin receptor gene network were calculated for the hippocampal (hePRS-IR) and the mesocorticolimbic (mePRS-IR) regions. Cardiometabolic markers included body composition, waist circumference, circulating lipids, insulin-like growth factor 1 (IGF-1), and insulin-like growth factor-binding protein 1 and 3 (IGFBP-1 and -3). Glucose and insulin levels were measured during a standardized 2-hour 75 g oral glucose tolerance test and impaired glucose regulation status was defined by the World Health Organization 2019 criteria. Analyzes were adjusted for population stratification, age, smoking, alcohol consumption, socioeconomic status, chronic diseases, birth weight, and leisure-time physical activity.
Results
Multinomial logistic regression indicated that one standard deviation increase in hePRS-IR was associated with increased risk of diabetes mellitus in all participants (adjusted relative risk ratio, 1.17; 95% confidence interval, 1.01 to 1.35). In women, higher hePRS-IR was associated with greater waist circumference and higher body fat percentage, levels of glucose, insulin, total cholesterol, low-density lipoprotein cholesterol, triglycerides, apolipoprotein B, insulin, and IGFBP-1 (all P≤0.02). The mePRS-IR was associated with decreased IGF-1 level in women (P=0.02). No associations were detected in men and studied outcomes.
Conclusion
hePRS-IR is associated with sex-specific differences in cardiometabolic risk factor profiles including impaired glucose regulation, abnormal metabolic markers, and unfavorable body composition in women.

Citations

Citations to this article as recorded by  
  • A mesocorticolimbic insulin receptor gene co-expression network moderates the association between early life adversity and food approach eating behaviour style in childhood
    Angela Marcela Jaramillo-Ospina, Roberta Dalle Molle, Sachin Patel, Shona Kelly, Irina Pokhvisneva, Carolina de Weerth, Patrícia Pelufo Silveira
    Appetite.2025; 204: 107762.     CrossRef
Complications
Article image
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
  • 3,796 View
  • 222 Download
  • 6 Web of Science
  • 7 Crossref
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.

Citations

Citations to this article as recorded by  
  • Higher body mass index increases the risk of shoulder adhesive capsulitis in young adults: a nationwide cohort study
    Jong-Ho Kim, Jae-Yoon Baek, Kyung-Do Han, Bong-Seoung Kim, Hyuk-Sang Kwon
    Journal of Shoulder and Elbow Surgery.2025; 34(1): 26.     CrossRef
  • Impacts of preoperative anxiety and depression on pain and range of motion after arthroscopic frozen shoulder release: a cohort study
    Yahia Haroun, Ahmed Saeed Younis, Wessam Fakhery Ebied, Mohamed Amr Hemida, Ahmed H. Khater
    International Orthopaedics.2024; 48(8): 2113.     CrossRef
  • Subdiaphragmatic phrenic nerve supply: A systematic review
    María Pérez-Montalbán, Encarna García-Domínguez, Ángel Oliva-Pascual-Vaca
    Annals of Anatomy - Anatomischer Anzeiger.2024; 254: 152269.     CrossRef
  • Effects of moderate physical activity on diabetic adhesive capsulitis: a randomized clinical trial
    Raheela Kanwal Sheikh, Amna Toseef, Aadil Omer, Anam Aftab, Muhammad Manan Haider Khan, Saeed Bin Ayaz, Omar Althomli, Aisha Razzaq, Samra Khokhar, Nazia Jabbar, Waqar Ahmed Awan
    PeerJ.2024; 12: e18030.     CrossRef
  • A Narrative Review of Adhesive Capsulitis with Diabetes
    Mu-Her Chen, Wen-Shiang Chen
    Journal of Clinical Medicine.2024; 13(19): 5696.     CrossRef
  • Sub‐Acromioclavicular Decompression Increases the Risk of Postoperative Shoulder Stiffness after Arthroscopic Rotator Cuff Repair
    Cheng Li, Zhiling Wang, Maslah Idiris Ali, Yi Long, Ymuhanmode Alike, Min Zhou, Dedong Cui, Zhenze Zheng, Ke Meng, Jingyi Hou, Rui Yang
    Orthopaedic Surgery.2024; 16(12): 2942.     CrossRef
  • A comprehensive scoring system for the diagnosis and staging of adhesive capsulitis: development, application, and implications
    Fabio Vita, Danilo Donati, Roberto Tedeschi, Marco Miceli, Paolo Spinnato, Flavio Origlio, Enrico Guerra, Marco Cavallo, Salvatore Massimo Stella, Luigi Tarallo, Giuseppe Porcellini, Stefano Galletti, Cesare Faldini
    European Journal of Orthopaedic Surgery & Traumatology.2024; 34(8): 4113.     CrossRef
Cardiovascular Risk/Epidemiology
Article image
Comparison of on-Statin Lipid and Lipoprotein Levels for the Prediction of First Cardiovascular Event in Type 2 Diabetes Mellitus
Ji Yoon Kim, Jimi Choi, Sin Gon Kim, Nam Hoon Kim
Diabetes Metab J. 2023;47(6):837-845.   Published online August 23, 2023
DOI: https://doi.org/10.4093/dmj.2022.0217
  • 2,622 View
  • 214 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
A substantial cardiovascular disease risk remains even after optimal statin therapy. Comparative predictiveness of major lipid and lipoprotein parameters for cardiovascular events in patients with type 2 diabetes mellitus (T2DM) who are treated with statins is not well documented.
Methods
From the Korean Nationwide Cohort, 11,900 patients with T2DM (≥40 years of age) without a history of cardiovascular disease and receiving moderate- or high-intensity statins were included. The primary outcome was the first occurrence of major adverse cardiovascular events (MACE) including ischemic heart disease, ischemic stroke, and cardiovascular death. The risk of MACE was estimated according to on-statin levels of low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), highdensity lipoprotein cholesterol (HDL-C), and non-HDL-C.
Results
MACE occurred in 712 patients during a median follow-up period of 37.9 months (interquartile range, 21.7 to 54.9). Among patients achieving LDL-C levels less than 100 mg/dL, the hazard ratios for MACE per 1-standard deviation change in ontreatment values were 1.25 (95% confidence interval [CI], 1.07 to 1.47) for LDL-C, 1.31 (95% CI, 1.09 to 1.57) for non-HDL-C, 1.05 (95% CI, 0.91 to 1.21) for TG, and 1.16 (95% CI, 0.98 to 1.37) for HDL-C, after adjusting for potential confounders and lipid parameters mutually. The predictive ability of on-statin LDL-C and non-HDL-C for MACE was prominent in patients at high cardiovascular risk or those with LDL-C ≥70 mg/dL.
Conclusion
On-statin LDL-C and non-HDL-C levels are better predictors of the first cardiovascular event than TG or HDL-C in patients with T2DM.
Metabolic Risk/Epidemiology
Article image
The Risk of Type 2 Diabetes Mellitus according to Changes in Obesity Status in Late Middle-Aged Adults: A Nationwide Cohort Study of Korea
Joon Ho Moon, Yeonhoon Jang, Tae Jung Oh, Se Young Jung
Diabetes Metab J. 2023;47(4):514-522.   Published online April 25, 2023
DOI: https://doi.org/10.4093/dmj.2022.0159
  • 3,300 View
  • 178 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Although obesity is a well-known risk factor of type 2 diabetes mellitus (T2DM), there is scant data on discriminating the contribution of previous obesity and recent weight gain on developing T2DM.
Methods
We analyzed the Korean National Health Insurance Service-Health Screening Cohort data from 2002 to 2015 where Korean residents underwent biennial health checkups. Participants were classified into four groups according to their obesity status (body mass index [BMI] ≥25 kg/m2) before and after turning 50 years old: maintaining normal (MN), becoming obese (BO), becoming normal (BN), and maintaining obese (MO). Cox proportional hazards regression model was used to estimate the risk of T2DM factoring in the covariates age, sex, BMI, presence of impaired fasting glucose or hypertension, family history of diabetes, and smoking status.
Results
A total of 118,438 participants (mean age, 52.5±1.1 years; men, 45.2%) were prospectively evaluated for incident T2DM. A total of 7,339 (6.2%) participants were diagnosed with T2DM during a follow-up period of 4.8±2.6 years. Incidence rates of T2DM per 1,000 person-year were 9.20 in MN, 14.81 in BO, 14.42 in BN, 21.38 in MO. After factoring in covariates, participants in the groups BN (adjusted hazard ratio [aHR], 1.15; 95% confidence interval [CI], 1.04 to 1.27) and MO (aHR, 1.14; 95% CI, 1.06 to 1.24) were at increased risk of developing T2DM compared to MN, whereas BO (hazard ratio, 1.06; 95% CI, 0.96 to 1.17) was not.
Conclusion
Having been obese before 50 years old increased the risk of developing T2DM in the future, but becoming obese after 50 did not. Therefore, it is important to maintain normal weight from early adulthood to prevent future metabolic perturbations.

Citations

Citations to this article as recorded by  
  • Accounting for time-varying exposures and covariates in the relationship between obesity and diabetes: analysis using parametric g-formula
    Boyoung Park, Junghyun Yoon, Thi Xuan Mai Tran
    Journal of Epidemiology and Community Health.2024; 78(11): 729.     CrossRef
  • Association of Uterine Leiomyoma with Type 2 Diabetes Mellitus in Young Women: A Population-Based Cohort Study
    Ji-Hee Sung, Kyung-Soo Kim, Kyungdo Han, Cheol-Young Park
    Diabetes & Metabolism Journal.2024; 48(6): 1105.     CrossRef
Complications
Article image
Association of Body Mass Index and Fracture Risk Varied by Affected Bones in Patients with Diabetes: A Nationwide Cohort Study
Se-Won Lee, Kyungdo Han, Hyuk-Sang Kwon
Diabetes Metab J. 2023;47(2):242-254.   Published online January 19, 2023
DOI: https://doi.org/10.4093/dmj.2022.0001
  • 4,196 View
  • 186 Download
  • 5 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Body mass index (BMI) is a risk factor for the type 2 diabetes (T2DM), and T2DM accompanies various complications, such as fractures. We investigated the effects of BMI and T2DM on fracture risk and analyzed whether the association varied with fracture locations.
Methods
This study is a nationwide population-based cohort study that included all people with T2DM (n=2,746,078) who received the National Screening Program during 2009–2012. According to the anatomical location of the fracture, the incidence rate and hazard ratio (HR) were analyzed by dividing it into four categories: vertebra, hip, limbs, and total fracture.
Results
The total fracture had higher HR in the underweight group (HR, 1.268; 95% CI, 1.228 to 1.309) and lower HR in the obese group (HR, 0.891; 95% CI, 0.882 to 0.901) and the morbidly obese group (HR, 0.873; 95% CI, 0.857 to 0.89), compared to reference (normal BMI group). Similar trends were observed for HR of vertebra fracture. The risk of hip fracture was most prominent, the risk of hip fracture increased in the underweight group (HR, 1.896; 95% CI, 1.178 to 2.021) and decreased in the obesity (HR, 0.643; 95% CI, 0.624 to 0.663) and morbidly obesity group (HR, 0.627; 95% CI, 0.591 to 0.665). Lastly, fracture risk was least affected by BMI for limbs.
Conclusion
In T2DM patients, underweight tends to increase fracture risk, and overweight tends to lower fracture risk, but association between BMI and fracture risk varied depending on the affected bone lesions.

Citations

Citations to this article as recorded by  
  • Dysuricemia—A New Concept Encompassing Hyperuricemia and Hypouricemia
    Naoyuki Otani, Motoshi Ouchi, Einosuke Mizuta, Asuka Morita, Tomoe Fujita, Naohiko Anzai, Ichiro Hisatome
    Biomedicines.2023; 11(5): 1255.     CrossRef
  • Association of Body Mass Index and Fracture Risk Varied by Affected Bones in Patients with Diabetes: A Nationwide Cohort Study (Diabetes Metab J 2023;47:242-54)
    Se-Won Lee, Kyungdo Han, Hyuk-Sang Kwon
    Diabetes & Metabolism Journal.2023; 47(3): 439.     CrossRef
  • Association of Body Mass Index and Fracture Risk Varied by Affected Bones in Patients with Diabetes: A Nationwide Cohort Study (Diabetes Metab J 2023;47:242-54)
    So Young Park
    Diabetes & Metabolism Journal.2023; 47(3): 437.     CrossRef
  • Effect of SGLT2 inhibitors on fractures, BMD, and bone metabolism markers in patients with type 2 diabetes mellitus: a systematic review and meta-analysis
    Xin Wang, Fengyi Zhang, Yufeng Zhang, Jiayi Zhang, Yingli Sheng, Wenbo Wang, Yujie Li
    Osteoporosis International.2023; 34(12): 2013.     CrossRef
Review
Guideline/Fact Sheet
Article image
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
  • 5,959 View
  • 297 Download
  • 7 Web of Science
  • 12 Crossref
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

Citations to this article as recorded by  
  • 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
  • Association of sleep fragmentation with general and abdominal obesity: a population-based longitudinal study
    Yu-xiang Xu, Shan-shan Wang, Yu-hui Wan, Pu-yu Su, Fang-biao Tao, Ying Sun
    International Journal of Obesity.2024; 48(9): 1258.     CrossRef
  • Oxidative balance score as a useful predictive marker for new-onset type 2 diabetes mellitus in Korean adults aged 60 years or older: The Korean Genome and Epidemiologic Study–Health Examination (KoGES-HEXA) cohort
    Mid-Eum Moon, Dong Hyuk Jung, Seok-Jae Heo, Byoungjin Park, Yong Jae Lee
    Experimental Gerontology.2024; 193: 112475.     CrossRef
  • The optimal dose of metformin to control conversion to diabetes in patients with prediabetes: A meta-analysis
    Xiaoyan Yi, Yongliang Pan, Huan Peng, Mengru Ren, Qin Jia, Bing Wang
    Journal of Diabetes and its Complications.2024; 38(10): 108846.     CrossRef
  • Changes in the Epidemiological Landscape of Diabetes in South Korea: Trends in Prevalence, Incidence, and Healthcare Expenditures
    Kyoung Hwa Ha, Dae Jung Kim
    Endocrinology and Metabolism.2024; 39(5): 669.     CrossRef
  • Development and validation of machine learning models to predict prediabetes using dietary intake data in young adults in Korea: a cross-sectional study
    Myoung-Lyun Heo
    Journal of Korean Biological Nursing Science.2024; 26(4): 300.     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 Articles
Guideline/Fact Sheet
Article image
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, on Behalf of the Committee of Media-Public Relation of the Korean Diabetes Association
Diabetes Metab J. 2022;46(3):417-426.   Published online May 25, 2022
DOI: https://doi.org/10.4093/dmj.2022.0106
  • 20,506 View
  • 1,951 Download
  • 126 Web of Science
  • 146 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study aimed to investigate the prevalence and management of diabetes mellitus, risk-factor control, and comorbidities among Korean adults.
Methods
We conducted a cross-sectional analysis of data from the Korea National Health and Nutrition Examination Survey to assess the prevalence, treatment, risk factors, comorbidities, and self-management behaviors of diabetes mellitus from 2019 to 2020. We also analyzed data from the Korean National Health Insurance Service to evaluate the use of antidiabetic medications in people with diabetes mellitus from 2002 through 2018.
Results
Among Korean adults aged 30 years or older, the estimated prevalence of diabetes mellitus was 16.7% in 2020. From 2019 through 2020, 65.8% of adults with diabetes mellitus were aware of the disease and treated with antidiabetic medications. The percentage of adults with diabetes mellitus who achieved glycosylated hemoglobin (HbA1c) <6.5% was 24.5% despite the increased use of new antidiabetic medications. We found that adults with diabetes mellitus who achieved all three goals of HbA1c <6.5%, blood pressure (BP) <140/85 mm Hg, and low-density lipoprotein cholesterol <100 mg/dL were 9.7%. The percentage of self-management behaviors was lower in men than women. Excess energy intake was observed in 16.7% of adults with diabetes mellitus.
Conclusion
The prevalence of diabetes mellitus among Korean adults remained high. Only 9.7% of adults with diabetes mellitus achieved all glycemic, BP, and lipid controls from 2019 to 2020. Continuous evaluation of national diabetes statistics and a national effort to increase awareness of diabetes mellitus and improve comprehensive diabetes care are needed.

Citations

Citations to this article as recorded by  
  • Weight change in patients with new‐onset type 2 diabetes mellitus and its association with remission: Comprehensive real‐world data
    Jinyoung Kim, Bongseong Kim, Mee Kyoung Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
    Diabetes, Obesity and Metabolism.2024; 26(2): 567.     CrossRef
  • Changes in Fatty Liver Disease and Incident Diabetes Mellitus in Young Korean Adults
    Kye-Yeung Park, Hwan-Sik Hwang, Kyungdo Han, Hoon-Ki Park
    American Journal of Preventive Medicine.2024; 66(4): 717.     CrossRef
  • Widening disparities in the national prevalence of diabetes mellitus for people with disabilities in South Korea
    I. Hwang, S.Y. Kim, Y.Y. Kim, J.H. Park
    Public Health.2024; 226: 173.     CrossRef
  • Questionnaire-Based Survey of Diabetes Self-Care Activities and Barriers among Young Korean Adults with Early-Onset Diabetes
    Ji In Park, Sang-Wook Kim, Il Sung Nam-Goong, Kee-Ho Song, Ji Hee Yu, Ji Yun Jeong, Eun-Hee Cho
    Yonsei Medical Journal.2024; 65(1): 42.     CrossRef
  • Patients with diabetes in regions with population decline and likelihood of receiving diabetes management education and screenings for related complications in Korea
    Yeong Jun Ju, Woorim Kim, Kyujin Chang, Tae Hoon Lee, Soon Young Lee
    Preventive Medicine.2024; 178: 107793.     CrossRef
  • 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
  • Gastroparesis might not be uncommon in patients with diabetes mellitus in a real-world clinical setting: a cohort study
    Jeongmin Lee, Hye Lim Park, Su Young Park, Chul-Hyun Lim, Min-Hee Kim, Jung Min Lee, Sang-Ah Chang, Jung-Hwan Oh
    BMC Gastroenterology.2024;[Epub]     CrossRef
  • Cumulative exposure to impaired fasting glucose and gastrointestinal cancer risk: A nationwide cohort study
    Byeong Yun Ahn, Bokyung Kim, Sanghyun Park, Sang Gyun Kim, Kyungdo Han, Soo‐Jeong Cho
    Cancer.2024; 130(10): 1807.     CrossRef
  • Multidimensional behavioral factors for diabetes management among middle-aged adults: a population-based study
    Hyerang Kim, Heesook Son
    Journal of Public Health.2024;[Epub]     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
  • Association between dietary selenium intake and severe abdominal aortic calcification in the United States: a cross-sectional study
    Weiwei Dong, Xiaobai Liu, Lu Ma, Zhiyong Yang, Chunyan Ma
    Food & Function.2024; 15(3): 1575.     CrossRef
  • Cumulative exposure to hypertriglyceridemia and risk of type 2 diabetes in young adults
    Min-Kyung Lee, Kyungdo Han, Bongsung Kim, Jong-Dai Kim, Moon Jung Kim, Byungpyo Kim, Jung Heo, Jiyeon Ahn, Seo-Young Sohn, Jae-Hyuk Lee
    Diabetes Research and Clinical Practice.2024; 208: 111109.     CrossRef
  • Recent evidence on target blood pressure in patients with hypertension
    Hack-Lyoung Kim
    Cardiovascular Prevention and Pharmacotherapy.2024; 6(1): 17.     CrossRef
  • Status and trends in epidemiologic characteristics of diabetic end-stage renal disease: an analysis of the 2021 Korean Renal Data System
    Kyeong Min Kim, Seon A Jeong, Tae Hyun Ban, Yu Ah Hong, Seun Deuk Hwang, Sun Ryoung Choi, Hajeong Lee, Ji Hyun Kim, Su Hyun Kim, Tae Hee Kim, Ho-Seok Koo, Chang-Yun Yoon, Kiwon Kim, Seon Ho Ahn, Yong Kyun Kim, Hye Eun Yoon
    Kidney Research and Clinical Practice.2024; 43(1): 20.     CrossRef
  • In silico exploration of the potential inhibitory activities of in-house and ZINC database lead compounds against alpha-glucosidase using structure-based virtual screening and molecular dynamics simulation approach
    Zuhier A. Awan, Haider Ali Khan, Alam Jamal, Sulaiman Shams, Guojun Zheng, Abdul Wadood, Muhammad Shahab, Mohammad Imran Khan, Abdulaziz A. Kalantan
    Journal of Biomolecular Structure and Dynamics.2024; : 1.     CrossRef
  • Evaluation of Mobile Applications for Patients with Diabetes Mellitus: A Scoping Review
    Jung Lim Lee, Youngji Kim
    Healthcare.2024; 12(3): 368.     CrossRef
  • Current status of remote collaborative care for hypertension in medically underserved areas
    Seo Yeon Baik, Kyoung Min Kim, Hakyoung Park, Jiwon Shinn, Hun-Sung Kim
    Cardiovascular Prevention and Pharmacotherapy.2024; 6(1): 33.     CrossRef
  • Association of non-alcoholic fatty liver disease with cardiovascular disease and all cause death in patients with type 2 diabetes mellitus: nationwide population based study
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    BMJ.2024; : e076388.     CrossRef
  • Comparison of metabolic and neurological comorbidities in Asian patients with psoriasis and atopic dermatitis
    Hee Joo Yang, Mi Young Lee, Jeong Hyeon Lee, Chang Jin Jung, Woo Jin Lee, Chong Hyun Won, Mi Woo Lee, Joon Min Jung, Sung Eun Chang
    Scientific Reports.2024;[Epub]     CrossRef
  • Cancer risk according to fasting blood glucose trajectories: a population-based cohort study
    Thi Minh Thu Khong, Thi Tra Bui, Hee-Yeon Kang, Jinhee Lee, Eunjung Park, Jin-Kyoung Oh
    BMJ Open Diabetes Research & Care.2024; 12(1): e003696.     CrossRef
  • Participation experience in self-care program for type 2 diabetes: A mixed-methods study
    Mihwan Kim, Haejung Lee, Gaeun Park, Ah Reum Khang
    Journal of Korean Gerontological Nursing.2024; 26(1): 31.     CrossRef
  • Fasting GLP-1 Levels and Albuminuria Are Negatively Associated in Patients with Type 2 Diabetes Mellitus
    Cheol-Won Jang, Tae Yang Yu, Jin Woo Jeong, Se Eun Ha, Rajan Singh, Moon Young Lee, Seungil Ro
    Journal of Personalized Medicine.2024; 14(3): 280.     CrossRef
  • The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population
    Na Yeon Kim, Haekyung Lee, Sehee Kim, Ye-Jee Kim, Hyunsuk Lee, Junhyeong Lee, Soo Heon Kwak, Seunggeun Lee
    Scientific Reports.2024;[Epub]     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
  • Real-World Treatment Patterns according to Clinical Practice Guidelines in Patients with Type 2 Diabetes Mellitus and Established Cardiovascular Disease in Korea: Multicenter, Retrospective, Observational Study
    Ye Seul Yang, Nam Hoon Kim, Jong Ha Baek, Seung-Hyun Ko, Jang Won Son, Seung-Hwan Lee, Sang Youl Rhee, Soo-Kyung Kim, Tae Seo Sohn, Ji Eun Jun, In-Kyung Jeong, Chong Hwa Kim, Keeho Song, Eun-Jung Rhee, Junghyun Noh, Kyu Yeon Hur
    Diabetes & Metabolism Journal.2024; 48(2): 279.     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
  • Real-World Outcomes of Individualized Targeted Therapy with Insulin Glargine 300 Units/mL in Insulin-Naïve Korean People with Type 2 Diabetes: TOBE Study
    Eun-Gyoung Hong, Kyung-Wan Min, Jung Soo Lim, Kyu-Jeung Ahn, Chul Woo Ahn, Jae-Myung Yu, Hye Soon Kim, Hyun Jin Kim, Won Kim, Dong Han Kim, Hak Chul Jang
    Advances in Therapy.2024; 41(5): 1967.     CrossRef
  • Effect of complicated, untreated and uncontrolled diabetes and pre‐diabetes on treatment outcome among patients with pulmonary tuberculosis
    Kyung Hoon Kim, Hyung Woo Kim, Yong Hyun Kim, Yeonhee Park, Sung Soo Jung, Jin Woo Kim, Jee Youn Oh, Heayon Lee, Sung Kyoung Kim, Sun‐Hyung Kim, Jiwon Lyu, Yousang Ko, Sun Jung Kwon, Yun‐Jeong Jeong, Do Jin Kim, Hyeon‐Kyoung Koo, Yangjin Jegal, Sun Young
    Respirology.2024; 29(7): 624.     CrossRef
  • Analysis of dietary behavior and intake related to glycemic control in patients with type 2 diabetes aged 30 years or older in Korea: Utilizing the 8th Korea National Health and Nutrition Examination Survey (2019–2021)
    Jin-Ah Seok, Yeon-Kyung Lee
    Nutrition Research and Practice.2024; 18(2): 239.     CrossRef
  • Management of Early-Onset Type 2 Diabetes
    Jin Hwa Kim
    The Journal of Korean Diabetes.2024; 25(1): 4.     CrossRef
  • Efficacy and tolerability of initial triple combination therapy with metformin, dapagliflozin and saxagliptin compared with stepwise add‐on therapy in drug‐naïve patients with type 2 diabetes (TRIPLE‐AXEL study): A multicentre, randomized, 104‐week, open‐
    Nam Hoon Kim, Jun Sung Moon, Yong‐ho Lee, Ho Chan Cho, Soo Heon Kwak, Soo Lim, Min Kyong Moon, Dong‐Lim Kim, Tae Ho Kim, Eunvin Ko, Juneyoung Lee, Sin Gon Kim
    Diabetes, Obesity and Metabolism.2024; 26(9): 3642.     CrossRef
  • Baseline glycated albumin level and risk of type 2 diabetes mellitus in Healthy individuals: a retrospective longitudinal observation in Korea
    Kang-Su Shin, Min-Seung Park, Mi Yeon Lee, Eun Hye Cho, Hee-Yeon Woo, Hyosoon Park, Min-Jung Kwon
    Scandinavian Journal of Clinical and Laboratory Investigation.2024; 84(3): 168.     CrossRef
  • The Potential Role of Presepsin in Predicting Severe Infection in Patients with Diabetic Foot Ulcers
    Eun Yeong Ha, Il Rae Park, Seung Min Chung, Young Nam Roh, Chul Hyun Park, Tae-Gon Kim, Woong Kim, Jun Sung Moon
    Journal of Clinical Medicine.2024; 13(8): 2311.     CrossRef
  • Myotonic dystrophy type 1 in South Korea: a comprehensive analysis of cancer and comorbidity risks
    Incheol Seo, Jin-Mo Park
    Neurological Sciences.2024; 45(9): 4573.     CrossRef
  • Cardiorenal outcomes and mortality after sodium‐glucose cotransporter‐2 inhibitor initiation in type 2 diabetes patients with percutaneous coronary intervention history
    Jin Hwa Kim, Young Sang Lyu, BongSeong Kim, Mee Kyung Kim, Sang Yong Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
    Diabetes, Obesity and Metabolism.2024; 26(7): 2567.     CrossRef
  • Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus
    Kyuho Kim, Jae-Seung Yun, Joonyub Lee, Yeoree Yang, Minhan Lee, Yu-Bae Ahn, Jae Hyoung Cho, Seung-Hyun Ko
    Endocrinology and Metabolism.2024; 39(2): 344.     CrossRef
  • Impact of electronic cigarette use on the increased risk of diabetes: the Korean Community Health Survey
    Wonseok Jeong, Seungju Kim
    Epidemiology and Health.2024; : e2024029.     CrossRef
  • Evolution and global research trends of immunity in diabetic nephropathy: a bibliometric and visual analysis from 2004 to 2023
    Jianlong Zhou, Lv Zhu, Rensong Yue
    International Urology and Nephrology.2024; 56(10): 3307.     CrossRef
  • Assessing blood sugar measures for predicting new-onset diabetes and cardiovascular disease in community-dwelling adults
    Jung-Hwan Kim, Yaeji Lee, Chung-Mo Nam, Yu-Jin Kwon, Ji-Won Lee
    Endocrine.2024; 86(2): 528.     CrossRef
  • Association between Body Weight Variability and Mortality in Young Adults: A Nationwide Cohort Study
    Yebin Park, Kyungdo Han
    Korean Journal of Family Practice.2024; 14(2): 105.     CrossRef
  • Impact of Antidiabetic Drugs on Clinical Outcomes of COVID-19: A Nationwide Population-Based Study
    Han Na Jang, Sun Joon Moon, Jin Hyung Jung, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Endocrinology and Metabolism.2024; 39(3): 479.     CrossRef
  • Association Between Benzene and Other Volatile Organic Compounds Exposure and Diabetes Mellitus Among Korean Adults: Findings from the Nationwide Biomonitoring Data
    Seong-Uk Baek, Minseo Choi, Yu-Min Lee, Jin-Ha Yoon
    Exposure and Health.2024;[Epub]     CrossRef
  • Trends and Barriers in Diabetic Retinopathy Screening: Korea National Health and Nutritional Examination Survey 2016–2021
    Min Seok Kim, Sang Jun Park, Kwangsic Joo, Se Joon Woo
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • Single-cell analysis of human PBMCs in healthy and type 2 diabetes populations: dysregulated immune networks in type 2 diabetes unveiled through single-cell profiling
    Doeon Gu, Jinyeong Lim, Kyung Yeon Han, In-Ho Seo, Jae Hwan Jee, Soo Jin Cho, Yoon Ho Choi, Sung Chul Choi, Jang Hyun Koh, Jin-Young Lee, Mira Kang, Dong-Hyuk Jung, Woong-Yang Park
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Diabetes and Heart Failure: A Literature Review, Reflection and Outlook
    Xiya Li, Xiaoyang Zhou, Ling Gao
    Biomedicines.2024; 12(7): 1572.     CrossRef
  • Korean National Burden of Disease: The Importance of Diabetes Management
    Chung-Nyun Kim, Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon
    Diabetes & Metabolism Journal.2024; 48(4): 518.     CrossRef
  • Association of ABO genetic Polymorphisms and Type 2 Diabetes Mellitus Susceptibility in the Korean Population
    Yu-Na Kim, Sung Won Lee, Sangwook Park
    Biomedical Science Letters.2024; 30(2): 65.     CrossRef
  • Impact of Education as a Social Determinant on the Risk of Type 2 Diabetes Mellitus in Korean Adults
    Mi-Joon Lee, Bum-Jeun Seo, Yeon-Sook Kim
    Healthcare.2024; 12(14): 1446.     CrossRef
  • Trajectories of depressive symptoms in Korean adults with diabetes: Individual differences and associations with life satisfaction and mortality
    Eun‐Jung Shim, Sang Jin Park, Gyu Hyeong Im, Ruth A. Hackett, Paola Zaninotto, Andrew Steptoe
    British Journal of Health Psychology.2024;[Epub]     CrossRef
  • Enhancing Diabetes Care through a Mobile Application: A Randomized Clinical Trial on Integrating Physical and Mental Health among Disadvantaged Individuals
    Jae Hyun Bae, Eun Hee Park, Hae Kyung Lee, Kun Ho Yoon, Kyu Chang Won, Hyun Mi Kim, Sin Gon Kim
    Diabetes & Metabolism Journal.2024; 48(4): 790.     CrossRef
  • Transcriptional regulation of multi-tissue mRNA expression by L-arabinose mitigates metabolic disorders in leptin receptor-deficient mice
    Youngji Han, Yuri Jeong, Jin Hyup Lee, Seung Pil Pack
    Food Bioscience.2024; 61: 104881.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
    Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
    Diabetes & Metabolism Journal.2024; 48(4): 546.     CrossRef
  • Why Are Doctors Not Interested in Type 2 Diabetes Mellitus Remission?
    Heung Yong Jin, Tae Sun Park
    Diabetes & Metabolism Journal.2024; 48(4): 709.     CrossRef
  • Holistic and Personalized Strategies for Managing in Elderly Type 2 Diabetes Patients
    Jae-Seung Yun, Kyuho Kim, Yu-Bae Ahn, Kyungdo Han, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2024; 48(4): 531.     CrossRef
  • Efficacy of Daily Walking as a Potential Predictor of Improved Health-Related Quality of Life in Patients with Type 2 Diabetes in Korea
    Wonil Park, Dongjun Lee
    Healthcare.2024; 12(16): 1644.     CrossRef
  • Prevalence, Awareness, Treatment, and Control of Type 2 Diabetes in South Korea (1998 to 2022): Nationwide Cross-Sectional Study
    Wonwoo Jang, Seokjun Kim, Yejun Son, Soeun Kim, Hyeon Jin Kim, Hyesu Jo, Jaeyu Park, Kyeongmin Lee, Hayeon Lee, Mark A Tully, Masoud Rahmati, Lee Smith, Jiseung Kang, Selin Woo, Sunyoung Kim, Jiyoung Hwang, Sang Youl Rhee, Dong Keon Yon
    JMIR Public Health and Surveillance.2024; 10: e59571.     CrossRef
  • Efficacy and Safety of IDegAsp in a Real-World Korean Population with Type 2 Diabetes Mellitus
    Shinae Kang, Yu-Bae Ahn, Tae Keun Oh, Won-Young Lee, Sung Wan Chun, Boram Bae, Amine Dahaoui, Jin Sook Jeong, Sungeun Jung, Hak Chul Jang
    Diabetes & Metabolism Journal.2024; 48(5): 929.     CrossRef
  • Association of pre-diabetes with increased obesity and depression in older male and female: A secondary analysis of the Korea National Health and Nutrition Examination Survey 2020
    Heashoon Lee
    Journal of Korean Gerontological Nursing.2024; 26(3): 257.     CrossRef
  • Financial Benefits of Renal Dose-Adjusted Dipeptidyl Peptidase-4 Inhibitors for Patients with Type 2 Diabetes and Chronic Kidney Disease
    Hun Jee Choe, Yeh-Hee Ko, Sun Joon Moon, Chang Ho Ahn, Kyoung Hwa Ha, Hyeongsuk Lee, Jae Hyun Bae, Hyung Joon Joo, Hyejin Lee, Jang Wook Son, Dae Jung Kim, Sin Gon Kim, Kwangsoo Kim, Young Min Cho
    Endocrinology and Metabolism.2024; 39(4): 622.     CrossRef
  • Enhancing Diabetes Prediction and Prevention through Mahalanobis Distance and Machine Learning Integration
    Khongorzul Dashdondov, Suehyun Lee, Munkh-Uchral Erdenebat
    Applied Sciences.2024; 14(17): 7480.     CrossRef
  • The role of glucagon-like peptide-1 receptor agonists (GLP1-RAs) in the management of the hypertensive patient with metabolic syndrome: a position paper from the Korean society of hypertension
    Hae Young Lee, Seung-Hyun Ko, Sungjoon Park, Kyuho Kim, Song-Yi Kim, In-Jeong Cho, Eun Joo Cho, Hyeon Chang Kim, Jae-Hyeong Park, Sung Kee Ryu, Min Kyong Moon, Sang-Hyun Ihm
    Clinical Hypertension.2024;[Epub]     CrossRef
  • Efficacy and safety of dapagliflozin add‐on to evogliptin plus metformin therapy in patients with type 2 diabetes: A randomized, double‐blind, placebo‐controlled study
    In‐Kyung Jeong, Kyung Mook Choi, Kyung Ah Han, Kyoung‐Ah Kim, In Joo Kim, Seung Jin Han, Won Young Lee, Soon Jib Yoo
    Diabetes, Obesity and Metabolism.2024; 26(11): 5065.     CrossRef
  • The association between health literacy and screening for disease-specific complications among community-dwelling adults with diabetes
    Fatima Nari, Jae Kwan Jun, Kyoung Hee Oh, Wonjeong Jeong
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Pioglitazone as Add-on Therapy in Patients with Type 2 Diabetes Mellitus Inadequately Controlled with Dapagliflozin and Metformin: Double-Blind, Randomized, Placebo-Controlled Trial
    Ji Hye Heo, Kyung Ah Han, Jun Hwa Hong, Hyun-Ae Seo, Eun-Gyoung Hong, Jae Myung Yu, Hye Seung Jung, Bong-Soo Cha
    Diabetes & Metabolism Journal.2024; 48(5): 937.     CrossRef
  • Efficacy and Safety of Alogliptin-Pioglitazone Combination for Type 2 Diabetes Mellitus Poorly Controlled with Metformin: A Multicenter, Double-Blind Randomized Trial
    Ji-Yeon Park, Joonyub Lee, Yoon-Hee Choi, Kyung Wan Min, Kyung Ah Han, Kyu Jeung Ahn, Soo Lim, Young-Hyun Kim, Chul Woo Ahn, Kyung Mook Choi, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2024; 48(5): 915.     CrossRef
  • Adherence to the nutritional recommendations according to diabetes status in Korean adults: a cross-sectional study
    Jong Han Choi, Chen Lulu, Seon-Joo Park, Hae-Jeung Lee
    BMC Public Health.2024;[Epub]     CrossRef
  • Association between nut consumption and mortality risk: a 20-year cohort study in Korea with a stratified analysis by health-related variables
    Hye Ran Shin, Jihye Kim, SuJin Song
    Nutrition Journal.2024;[Epub]     CrossRef
  • Prediabetes persistence or remission and subsequent risk of gallbladder cancer: A nationwide cohort study
    Joo-Hyun Park, Jung Yong Hong, Kyungdo Han, Young Suk Park, Joon Oh Park, Ho Yeong Lim, Jay J. Shen
    European Journal of Cancer.2024; 213: 114312.     CrossRef
  • Efficacy and safety of a fixed‐dose combination of dapagliflozin and linagliptin (AJU‐A51) in patients with type 2 diabetes mellitus: A multicentre, randomized, double‐blind, parallel‐group, placebo‐controlled phase III study
    Jun Hwa Hong, Myung Jin Kim, Kyung Wan Min, Jong Chul Won, Tae Nyun Kim, Byung‐Wan Lee, Jun Goo Kang, Jae Hyeon Kim, Jung Hwan Park, Bon Jeong Ku, Chang Beom Lee, Sang Yong Kim, Ho Sang Shon, Woo Je Lee, Joong‐Yeol Park
    Diabetes, Obesity and Metabolism.2024;[Epub]     CrossRef
  • National trends in type 2 diabetes mellitus stratified by central adiposity using waist-to-height ratio in South Korea, 2005–2022
    Hyunjee Kim, Seoyoung Park, Jaeyu Park, Yejun Son, Soeun Kim, Yesol Yim, Hyesu Jo, Kyeongmin Lee, Yi Deun Jeong, Jiyeon Oh, Hanseul Cho, Damiano Pizzol, Jiyoung Hwang, Lee Smith, Dong Keon Yon
    Scientific Reports.2024;[Epub]     CrossRef
  • 1-Hour Postload Glucose: Early Screening for High Risk of Type 2 Diabetes in Koreans With Normal Fasting Glucose
    Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Joo Yeon Kim, Su Hyun Kim, Dong Hee Kim, Dasol Kang, Sujin Park, Yun Kyung Jeon, Sang Soo Kim, Bo Hyun Kim, Mi Sook Yun, Yang Ho Kang
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • Association of Monocyte Chemoattractant Protein-1 (MCP-1) 2518 A/G Polymorphism with Obesity in Korean Type 2 Diabetes Mellitus
    Sangshin Park, Dong-Hwa Lee, Shinyoung Lee, Hyun Jeong Jeon
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 3917.     CrossRef
  • Association between the duration of oral contraceptive use and the prevalence of type 2 diabetes mellitus: Korea National Health and Nutrition Examination Survey (KNHANES) 2007–2021
    Mikyung Ryu
    Korean Journal of Health Education and Promotion.2024; 41(3): 73.     CrossRef
  • Insulin Resistance and Impaired Insulin Secretion Predict Incident Diabetes: A Statistical Matching Application to the Two Korean Nationwide, Population-Representative Cohorts
    Hyemin Jo, Soyeon Ahn, Jung Hun Ohn, Cheol Min Shin, Eunjeong Ji, Donggil Kim, Sung Jae Jung, Joongyub Lee
    Endocrinology and Metabolism.2024; 39(5): 711.     CrossRef
  • Association of aerobic and muscle-strengthening physical activity with chronic kidney disease in participants with hypertension
    Yunmin Han, Younghwan Choi, Yeon Soo Kim
    Clinical Hypertension.2024;[Epub]     CrossRef
  • Association of relative handgrip strength on the development of diabetes mellitus in elderly Koreans
    Yeo Ju Sohn, Hong Soo Lee, Hasuk Bae, Hee Cheol Kang, Hyejin Chun, Insun Ryou, Eun Jee Chang, Sungchan Kang, Sang Wha Lee, Kyung Won Shim, Mario Ulises Pérez-Zepeda
    PLOS ONE.2024; 19(10): e0309558.     CrossRef
  • Paradigm shift from glucocentric to organ protection for the management of hyperglycemia in patients with type 2 diabetes
    Jie-Eun Lee, Jong Chul Won
    Cardiovascular Prevention and Pharmacotherapy.2024; 6(4): 116.     CrossRef
  • 당뇨병 치료의 진화: 관해를 향해가는 혁신적 약물치료와 첨단 관리기기의 결합
    종한 최, 민경 문
    Public Health Weekly Report.2024; 17(44): 1905.     CrossRef
  • Socioeconomic inequalities in the prevalence, non-awareness, non-treatment, and non-control of diabetes among South Korean adults in 2021
    Seongju Kim, Dong Jun Kim, Hooyeon Lee, Dong Keon Yon
    PLOS ONE.2024; 19(11): e0313988.     CrossRef
  • Trends in prescribing sodium‐glucose cotransporter 2 inhibitors for individuals with type 2 diabetes with and without cardiovascular‐renal disease in South Korea, 2015–2021
    Kyoung Hwa Ha, Soyoung Shin, EunJi Na, Dae Jung Kim
    Journal of Diabetes Investigation.2024;[Epub]     CrossRef
  • Risk of Pancreatic Cancer and Use of Dipeptidyl Peptidase 4 Inhibitors in Patients with Type 2 Diabetes: A Propensity Score-Matching Analysis
    Mee Kyoung Kim, Kyungdo Han, Hyuk-Sang Kwon, Soon Jib Yoo
    Endocrinology and Metabolism.2023; 38(4): 426.     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
  • Sex differences in the impact of diabetes mellitus on tuberculosis recurrence: a retrospective national cohort study
    Dararat Eksombatchai, Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Hongjo Choi, Young Ae Kang
    International Journal of Infectious Diseases.2023; 127: 1.     CrossRef
  • Response to Letter to the Editor From Han and Xu: “Association Between DPP4 Inhibitor Use and the Incidence of Cirrhosis, ESRD, and Some Cancers in Patients With Diabetes”
    Dae Ho Lee
    The Journal of Clinical Endocrinology & Metabolism.2023; 108(4): e58.     CrossRef
  • Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Journal of Lipid and Atherosclerosis.2023; 12(1): 12.     CrossRef
  • Evaluation and Management of Patients With Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
    Kyu-Sun Lee, Junghyun Noh, Seong-Mi Park, Kyung Mook Choi, Seok-Min Kang, Kyu-Chang Won, Hyun-Jai Cho, Min Kyong Moon
    International Journal of Heart Failure.2023; 5(1): 1.     CrossRef
  • Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 1.     CrossRef
  • Evaluation and Management of Patients with Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
    Kyu-Sun Lee, Junghyun Noh, Seong-Mi Park, Kyung Mook Choi, Seok-Min Kang, Kyu-Chang Won, Hyun-Jai Cho, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 10.     CrossRef
  • Risk of type 2 diabetes mellitus in catholic priests compared with general public
    Youngmi Eun, Sun Myeong Ock, Se-Hong Kim, Ju Hye Chung, Se Jin Park, Churlmin Kim, Min-Kyun Im, Kyung-do Han
    Acta Diabetologica.2023; 60(5): 655.     CrossRef
  • Blood pressure control and its associated factors in patients with hypertension and type 2 diabetes
    Anan S Jarab, Walid Al-Qerem, Salam Alqudah, Shrouq R Abu Heshmeh, Tareq L Mukattash, Karem H Alzoubi
    Electronic Journal of General Medicine.2023; 20(3): em477.     CrossRef
  • Prevalence and associated factors of diabetes mellitus among patients with tuberculosis in South Korea from 2011 to 2018: a nationwide cohort study
    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
  • The association between nutrition label utilization and disease management education among hypertension or diabetes diagnosed in Korea using 2018 Community Health Survey: a cross-sectional study
    Miran Jin, Jayeun Kim, Kyuhyun Yoon
    Korean Journal of Community Nutrition.2023; 28(1): 38.     CrossRef
  • Insulin Fact Sheet in Type 1 and 2 Diabetes Mellitus and Trends of Antidiabetic Medication Use in Insulin Users with Type 2 Diabetes Mellitus: 2002 to 2019
    Jiyun Park, Gyuri Kim, Bong-Sung Kim, Kyung-Do Han, So Yoon Kwon, So Hee Park, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2023; 47(2): 211.     CrossRef
  • Comparison of Operational Definition of Type 2 Diabetes Mellitus Based on Data from Korean National Health Insurance Service and Korea National Health and Nutrition Examination Survey
    Jong Ha Baek, Yong-Moon Park, Kyung Do Han, Min Kyong Moon, Jong Han Choi, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2023; 47(2): 201.     CrossRef
  • Evaluation of pharmacokinetic interactions between lobeglitazone, empagliflozin, and metformin in healthy subjects
    Heeyoung Kim, Choon Ok Kim, Hyeonsoo Park, Min Soo Park, Dasohm Kim, Taegon Hong, Yesong Shin, Byung Hak Jin
    Translational and Clinical Pharmacology.2023; 31(1): 59.     CrossRef
  • Vascular and metabolic effects of ipragliflozin versus sitagliptin (IVS) in type 2 diabetes treated with sulphonylurea and metformin: IVS study
    Seon Mee Kang, Han Mi Yun, Minji Sohn, Soo Lim
    Diabetes, Obesity and Metabolism.2023; 25(7): 1922.     CrossRef
  • Diabetes and Skin Disease
    Jungah Lim
    The Journal of Korean Diabetes.2023; 24(1): 29.     CrossRef
  • Revisiting the Diabetes Crisis in Korea: Call for Urgent Action
    Jun Sung Moon
    The Journal of Korean Diabetes.2023; 24(1): 1.     CrossRef
  • Association between Sleep Duration and Incident Diabetes Mellitus in Healthy Subjects: A 14-Year Longitudinal Cohort Study
    Jin ha Jang, Wonjin Kim, Jin Sil Moon, Eun Roh, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm, Ji Hye Huh
    Journal of Clinical Medicine.2023; 12(8): 2899.     CrossRef
  • Exercise Frequency Reduction Is Associated With Higher Risk of Infection in Newly Diagnosed Diabetes: A Nationally Representative Cohort Study
    Yohwan Lim, Hye Jun Kim, Sung Soo Yoon, Sang Jun Lee, Myeong Hoon Lee, Hyewon Park, Sun Jae Park, Seogsong Jeong, Hyun Wook Han
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Effects of Consuming Heat-Treated Dodamssal Brown Rice Containing Resistant Starch on Glucose Metabolism in Humans
    Jiyoung Park, Sea-Kwan Oh, Miae Doo, Hyun-Jung Chung, Hyun-Jin Park, Hyejin Chun
    Nutrients.2023; 15(10): 2248.     CrossRef
  • Opening the Precision Diabetes Care through Digital Healthcare
    Joonyub Lee, Jin Yu, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2023; 47(3): 307.     CrossRef
  • Fatty Liver & Diabetes Statistics in Korea: Nationwide Data 2009 to 2017
    Eugene Han, Kyung-Do Han, Yong-ho Lee, Kyung-Soo Kim, Sangmo Hong, Jung Hwan Park, Cheol-Young Park
    Diabetes & Metabolism Journal.2023; 47(3): 347.     CrossRef
  • Trends in the Quality of Primary Care and Acute Care in Korea From 2008 to 2020: A Cross-sectional Study
    Yeong Geun Gwon, Seung Jin Han, Kyoung Hoon Kim
    Journal of Preventive Medicine and Public Health.2023; 56(3): 248.     CrossRef
  • Development and Validation of Multiple Equations for Low-Density Lipoprotein and Apolipoprotein B in Korean Patients Visiting Local Clinics and Hospitals
    Rihwa Choi, Sang Gon Lee, Eun Hee Lee
    Nutrients.2023; 15(12): 2786.     CrossRef
  • The role of retinal vessel geometry as an indicator of systemic arterial stiffness assessed by cardio-ankle vascular index
    Dae Joong Ma, Heesun Lee, Ji Min Choi, Hyo Eun Park, Su-Yeon Choi, Hyuk Jin Choi
    Frontiers in Cardiovascular Medicine.2023;[Epub]     CrossRef
  • Association between type 2 diabetes mellitus and depression among Korean midlife women: a cross-sectional analysis study
    You Lee Yang, Eun-Ok Im, Yunmi Kim
    BMC Nursing.2023;[Epub]     CrossRef
  • Associations of updated cardiovascular health metrics, including sleep health, with incident diabetes and cardiovascular events in older adults with prediabetes: A nationwide population-based cohort study
    Kyoung Hwa Ha, Dae Jung Kim, Seung Jin Han
    Diabetes Research and Clinical Practice.2023; 203: 110820.     CrossRef
  • Paradigm Shift in Management of Hyperglycemia in Patients with Type 2 Diabetes: Glucocentric versus Organ Protection
    Jong Chul Won
    The Journal of Korean Diabetes.2023; 24(2): 59.     CrossRef
  • Medical nutrition therapy for diabetes mellitus
    Suk Chon
    Journal of the Korean Medical Association.2023; 66(7): 421.     CrossRef
  • Prevalence and treatment status of diabetes mellitus in Korea
    Hyuk-Sang Kwon
    Journal of the Korean Medical Association.2023; 66(7): 404.     CrossRef
  • The impact of diabetes status on total and site-specific cancer risk in the elderly population: A nationwide cohort study
    Kyuho Kim, Bongseong Kim, Hyunho Kim, Hyung Soon Park, Yu-Bae Ahn, Seung-Hyun Ko, Kyungdo Han, Jae-Seung Yun
    Diabetes Research and Clinical Practice.2023; 203: 110866.     CrossRef
  • Response to comments of Lai et al. “Proposal of one option for patient-centered, heterogeneous selection of antidiabetic drug”
    Sunyoung Kim, Sang Youl Rhee
    Diabetes Research and Clinical Practice.2023; 203: 110864.     CrossRef
  • Association of Dental Diseases and Oral Hygiene Care With the Risk of Heart Failure in Patients With Type 2 Diabetes: A Nationwide Cohort Study
    Youn Huh, Jung Eun Yoo, Sang‐Hyun Park, Kyungdo Han, Seon Mee Kim, Hye Soon Park, Kyung Hwan Cho, Jin‐Soo Ahn, Sang Ho Jun, Ga Eun Nam
    Journal of the American Heart Association.2023;[Epub]     CrossRef
  • Bidirectional associations between periodontal disease and systemic diseases: a nationwide population-based study in Korea
    Salma Nabila, Jaesung Choi, Ji-Eun Kim, Seokyung Hahn, In-Kyung Hwang, Tae-Il Kim, Hee-Kyung Park, Ji-Yeob Choi
    Scientific Reports.2023;[Epub]     CrossRef
  • Long-term Effectiveness of the National Diabetes Quality Assessment Program in South Korea
    Ji Hye Huh, Serim Kwon, Gui Ok Kim, Bo Yeon Kim, Kyoung Hwa Ha, Dae Jung Kim
    Diabetes Care.2023; 46(9): 1700.     CrossRef
  • Refined Diagnostic Protocol for Diabetic Polyneuropathy: Paving the Way for Timely Detection
    Byung-Mo Oh
    Annals of Rehabilitation Medicine.2023; 47(4): 234.     CrossRef
  • Analysis of difference in body fluid composition and dietary intake between Korean adults with and without type 2 diabetes mellitus
    Yu-Gyeong Kim, Ha-Neul Choi, Jung-Eun Yim
    Journal of Nutrition and Health.2023; 56(4): 377.     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
  • Diabetes Mellitus in the Elderly Adults in Korea: Based on Data from the Korea National Health and Nutrition Examination Survey 2019 to 2020
    Seung-Hyun Ko, Kyung Do Han, Yong-Moon Park, Jae-Seung Yun, Kyuho Kim, Jae-Hyun Bae, Hyuk-Sang Kwon, Nan-Hee Kim
    Diabetes & Metabolism Journal.2023; 47(5): 643.     CrossRef
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • Association between initial continuity of care status and diabetes-related health outcomes in older patients with type 2 diabetes mellitus: A nationwide retrospective cohort study in South Korea
    Hyun Woo Jung, Woo-Ri Lee
    Primary Care Diabetes.2023; 17(6): 600.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes
    Min Kyong Moon
    The Journal of Korean Diabetes.2023; 24(3): 120.     CrossRef
  • Diagnostic performance of the fibrosis-4 index and the NAFLD fibrosis score for screening at-risk individuals in a health check-up setting
    Huiyul Park, Eileen L. Yoon, Mimi Kim, Jonghyun Lee, Hye-Lin Kim, Seon Cho, Eun-Hee Nah, Dae Won Jun
    Hepatology Communications.2023;[Epub]     CrossRef
  • Risk of Cause-Specific Mortality across Glucose Spectrum in Elderly People: A Nationwide Population-Based Cohort Study
    Joonyub Lee, Hun-Sung Kim, Kee-Ho Song, Soon Jib Yoo, Kyungdo Han, Seung-Hwan Lee
    Endocrinology and Metabolism.2023; 38(5): 525.     CrossRef
  • The Characteristics and Risk of Mortality in the Elderly Korean Population
    Sunghwan Suh
    Endocrinology and Metabolism.2023; 38(5): 522.     CrossRef
  • Comparative Risk of Type 2 Diabetes after Gastrectomy and Endoscopic Resection for Gastric Cancer: A Nationwide Cohort Study
    Yeongkeun Kwon, Jin-Won Kwon, Jiyun Kim, Dohyang Kim, Jinseub Hwang, Jane Ha, Shin-Hoo Park, Sungsoo Park
    Journal of the American College of Surgeons.2023; 237(6): 902.     CrossRef
  • Efficacy and Safety of Evogliptin Add-on Therapy to Dapagliflozin/Metformin Combinations in Patients with Poorly Controlled Type 2 Diabetes Mellitus: A 24-Week Multicenter Randomized Placebo-Controlled Parallel-Design Phase-3 Trial with a 28-Week Extensio
    Jun Sung Moon, Il Rae Park, Hae Jin Kim, Choon Hee Chung, Kyu Chang Won, Kyung Ah Han, Cheol-Young Park, Jong Chul Won, Dong Jun Kim, Gwan Pyo Koh, Eun Sook Kim, Jae Myung Yu, Eun-Gyoung Hong, Chang Beom Lee, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2023; 47(6): 808.     CrossRef
  • Association between diabetes mellitus and cause of death in patients with tuberculosis: A Korean nationwide cohort study
    Se Hyun Kwak, Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Hongjo Choi, Young Ae Kang, Frederick Quinn
    PLOS ONE.2023; 18(12): e0295556.     CrossRef
  • Strategies to Maintain the Remission of Diabetes Following Metabolic Surgery
    Mi Kyung Kim, Hye Soon Kim
    Journal of Metabolic and Bariatric Surgery.2023; 12(2): 26.     CrossRef
  • Anti-Diabetic Medications and Osteoporosis
    Kyongyoung Kim
    The Journal of Korean Diabetes.2023; 24(4): 173.     CrossRef
  • The associations between changes in hepatic steatosis and heart failure and mortality: a nationwide cohort study
    Jiyun Park, Gyuri Kim, Hasung Kim, Jungkuk Lee, Sang-Man Jin, Jae Hyeon Kim
    Cardiovascular Diabetology.2022;[Epub]     CrossRef
  • Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
    Seung-Hyun Ko
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106.     CrossRef
  • Current Trends of Big Data Research Using the Korean National Health Information Database
    Mee Kyoung Kim, Kyungdo Han, Seung-Hwan Lee
    Diabetes & Metabolism Journal.2022; 46(4): 552.     CrossRef
  • Current status of obesity treatment in Korea: based on the 2020 Korean Society for the Study of Obesity guidelines for obesity management
    Eun-Jung Rhee
    Journal of the Korean Medical Association.2022; 65(7): 388.     CrossRef
  • 젊은 2형 당뇨병 환자의 관리
    재현 배
    Public Health Weekly Report.2022; 15(35): 2474.     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
  • The Degree of Glycemic Control for the First Three Months Determines the Next Seven Years
    Nami Lee, Dae Jung Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Blood Pressure Target in Type 2 Diabetes Mellitus
    Hyun-Jin Kim, Kwang-il Kim
    Diabetes & Metabolism Journal.2022; 46(5): 667.     CrossRef
  • Association Between DPP4 Inhibitor Use and the Incidence of Cirrhosis, ESRD, and Some Cancers in Patients With Diabetes
    Yewon Na, Soo Wan Kim, Ie Byung Park, Soo Jung Choi, Seungyoon Nam, Jaehun Jung, Dae Ho Lee
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(11): 3022.     CrossRef
  • Education for Insulin Injection in Elderly Diabetic Patients
    Gi Yeon Lee
    The Journal of Korean Diabetes.2022; 23(3): 201.     CrossRef
  • Recent Updates on Phytoconstituent Alpha-Glucosidase Inhibitors: An Approach towards the Treatment of Type Two Diabetes
    Hamdy Kashtoh, Kwang-Hyun Baek
    Plants.2022; 11(20): 2722.     CrossRef
  • Epidemiological characteristics of diabetes mellitus in Korea
    Soon Young Lee
    Journal of the Korean Medical Association.2022; 65(10): 640.     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
  • Oldies but Goodies: Thiazolidinedione as an Insulin Sensitizer with Cardioprotection
    Eun-Hee Cho
    Diabetes & Metabolism Journal.2022; 46(6): 827.     CrossRef
  • The Mediating Effect of Acceptance Action in the Relationship between Diabetes Distress and Self-stigma among Old Adults with Diabetes in South Korea
    Hyesun Kim, Kawoun Seo
    Journal of Korean Academy of Community Health Nursing.2022; 33(4): 446.     CrossRef
Drug/Regimen
Comparison of Serum Ketone Levels and Cardiometabolic Efficacy of Dapagliflozin versus Sitagliptin among Insulin-Treated Chinese Patients with Type 2 Diabetes Mellitus
Chi-Ho Lee, Mei-Zhen Wu, David Tak-Wai Lui, Darren Shing-Hei Chan, Carol Ho-Yi Fong, Sammy Wing-Ming Shiu, Ying Wong, Alan Chun-Hong Lee, Joanne King-Yan Lam, Yu-Cho Woo, Karen Siu-Ling Lam, Kelvin Kai-Hang Yiu, Kathryn Choon-Beng Tan
Diabetes Metab J. 2022;46(6):843-854.   Published online April 28, 2022
DOI: https://doi.org/10.4093/dmj.2021.0319
  • 6,410 View
  • 272 Download
  • 7 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Insulin-treated patients with long duration of type 2 diabetes mellitus (T2DM) are at increased risk of ketoacidosis related to sodium-glucose co-transporter 2 inhibitor (SGLT2i). The extent of circulating ketone elevation in these patients remains unknown. We conducted this study to compare the serum ketone response between dapagliflozin, an SGLT2i, and sitagliptin, a dipeptidyl peptidase-4 inhibitor, among insulin-treated T2DM patients.
Methods
This was a randomized, open-label, active comparator-controlled study involving 60 insulin-treated T2DM patients. Participants were randomized 1:1 for 24-week of dapagliflozin 10 mg daily or sitagliptin 100 mg daily. Serum β-hydroxybutyrate (BHB) levels were measured at baseline, 12 and 24 weeks after intervention. Comprehensive cardiometabolic assessments were performed with measurements of high-density lipoprotein cholesterol (HDL-C) cholesterol efflux capacity (CEC), vibration-controlled transient elastography and echocardiography.
Results
Among these 60 insulin-treated participants (mean age 58.8 years, diabetes duration 18.2 years, glycosylated hemoglobin 8.87%), as compared with sitagliptin, serum BHB levels increased significantly after 24 weeks of dapagliflozin (P=0.045), with a median of 27% increase from baseline. Change in serum BHB levels correlated significantly with change in free fatty acid levels. Despite similar glucose lowering, dapagliflozin led to significant improvements in body weight (P=0.006), waist circumference (P=0.028), HDL-C (P=0.041), CEC (P=0.045), controlled attenuation parameter (P=0.007), and liver stiffness (P=0.022). Average E/e’, an echocardiographic index of left ventricular diastolic dysfunction, was also significantly lower at 24 weeks in participants treated with dapagliflozin (P=0.037).
Conclusion
Among insulin-treated T2DM patients with long diabetes duration, compared to sitagliptin, dapagliflozin modestly increased ketone levels and was associated with cardiometabolic benefits.

Citations

Citations to this article as recorded by  
  • Serum thrombospondin‐2 level changes with liver stiffness improvement in patients with type 2 diabetes
    Jimmy Ho Cheung Mak, David Tak‐Wai Lui, Carol Ho‐Yi Fong, Chloe Yu‐Yan Cheung, Ying Wong, Alan Chun‐Hong Lee, Ruby Lai‐Chong Hoo, Aimin Xu, Kathryn Choon‐Beng Tan, Karen Siu‐Ling Lam, Chi‐Ho Lee
    Clinical Endocrinology.2024; 100(3): 230.     CrossRef
  • SGLT-2 inhibitors as novel treatments of multiple organ fibrosis
    Junpei Hu, Jianhui Teng, Shan Hui, Lihui Liang
    Heliyon.2024; 10(8): e29486.     CrossRef
  • Innovations and applications of ketone body monitoring in diabetes care
    Naoki Sakane
    Diabetology International.2024; 15(3): 370.     CrossRef
  • Effect of dapagliflozin on readmission and loop diuretics use in patients with acute heart failure: a retrospective propensity score-matched cohort study
    Dong Wu, Zhen Ma, Xiaoying Wang, Xiaowu Wang, Xiaojuan Wang
    BMC Cardiovascular Disorders.2024;[Epub]     CrossRef
  • Effect of sodium-glucose cotransporter protein-2 inhibitors on left ventricular hypertrophy in patients with type 2 diabetes: A systematic review and meta-analysis
    Yao Wang, Yujie Zhong, Zhehao Zhang, Shuhao Yang, Qianying Zhang, Bingyang Chu, Xulin Hu
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Effects of SGLT2 inhibitors on hepatic fibrosis and steatosis: A systematic review and meta-analysis
    Peipei Zhou, Ying Tan, Zhenning Hao, Weilong Xu, Xiqiao Zhou, Jiangyi Yu
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • The impact of sodium-glucose Cotransporter-2 inhibitors on lipid profile: A meta-analysis of 28 randomized controlled trials
    Gang Fan, Dian long Guo, Hong Zuo
    European Journal of Pharmacology.2023; 959: 176087.     CrossRef
Type 1 Diabetes
Abnormal Responses in Cognitive Impulsivity Circuits Are Associated with Glycosylated Hemoglobin Trajectories in Type 1 Diabetes Mellitus and Impaired Metabolic Control
Helena Jorge, Isabel C. Duarte, Sandra Paiva, Ana Paula Relvas, Miguel Castelo-Branco
Diabetes Metab J. 2022;46(6):866-878.   Published online March 22, 2022
DOI: https://doi.org/10.4093/dmj.2021.0307
  • 5,624 View
  • 187 Download
  • 4 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Risky health decisions and impulse control profiles may impact on metabolic control in type 1 diabetes mellitus (T1DM). We hypothesize that the neural correlates of cognitive impulsivity and decision-making in T1DM relate to metabolic control trajectories.
Methods
We combined functional magnetic resonance imaging (fMRI), measures of metabolic trajectories (glycosylated hemoglobin [HbA1c] over multiple time points) and behavioral assessment using a cognitive impulsivity paradigm, the Balloon Analogue Risk Task (BART), in 50 participants (25 T1DM and 25 controls).
Results
Behavioral results showed that T1DM participants followed a rigid conservative risk strategy along the iterative game. Imaging group comparisons showed that patients showed larger activation of reward related, limbic regions (nucleus accumbens, amygdala) and insula (interoceptive saliency network) in initial game stages. Upon game completion differences emerged in relation to error monitoring (anterior cingulate cortex [ACC]) and inhibitory control (inferior frontal gyrus). Importantly, activity in the saliency network (ACC and insula), which monitors interoceptive states, was related with metabolic trajectories, which was also found for limbic/reward networks. Parietal and posterior cingulate regions activated both in controls and patients with adaptive decision-making, and positively associated with metabolic trajectories.
Conclusion
We found triple converging evidence when comparing metabolic trajectories, patients versus controls or risk averse (non-learners) versus patients who learned by trial and error. Dopaminergic reward and saliency (interoceptive and error monitoring) circuits show a tight link with impaired metabolic trajectories and cognitive impulsivity in T1DM. Activity in parietal and posterior cingulate are associated with adaptive trajectories. This link between reward-saliency-inhibition circuits suggests novel strategies for patient management.

Citations

Citations to this article as recorded by  
  • Glycated hemoglobin, type 2 diabetes, and poor diabetes control are positively associated with impulsivity changes in aged individuals with overweight or obesity and metabolic syndrome
    Carlos Gómez‐Martínez, Nancy Babio, Lucía Camacho‐Barcia, Jordi Júlvez, Stephanie K. Nishi, Zenaida Vázquez, Laura Forcano, Andrea Álvarez‐Sala, Aida Cuenca‐Royo, Rafael de la Torre, Marta Fanlo‐Maresma, Susanna Tello, Dolores Corella, Alejandro Arias Vás
    Annals of the New York Academy of Sciences.2024;[Epub]     CrossRef
  • The usefulness of an intervention with a serious video game as a complementary approach to cognitive behavioural therapy in eating disorders: A pilot randomized clinical trial for impulsivity management
    Cristina Vintró‐Alcaraz, Núria Mallorquí‐Bagué, María Lozano‐Madrid, Giulia Testa, Roser Granero, Isabel Sánchez, Janet Treasure, Susana Jiménez‐Murcia, Fernando Fernández‐Aranda
    European Eating Disorders Review.2023; 31(6): 781.     CrossRef
  • Adaptations of the balloon analog risk task for neuroimaging settings: a systematic review
    Charline Compagne, Juliana Teti Mayer, Damien Gabriel, Alexandre Comte, Eloi Magnin, Djamila Bennabi, Thomas Tannou
    Frontiers in Neuroscience.2023;[Epub]     CrossRef
  • Trust-based health decision-making recruits the neural interoceptive saliency network which relates to temporal trajectories of Hemoglobin A1C in Diabetes Type 1
    Helena Jorge, Isabel C. Duarte, Miguel Melo, Ana Paula Relvas, Miguel Castelo-Branco
    Brain Imaging and Behavior.2023; 18(1): 171.     CrossRef
COVID-19
Article image
Association of Metabolic Syndrome with COVID-19 in the Republic of Korea
Woo-Hwi Jeon, Jeong-Yeon Seon, So-Youn Park, In-Hwan Oh
Diabetes Metab J. 2022;46(3):427-438.   Published online November 26, 2021
DOI: https://doi.org/10.4093/dmj.2021.0105
  • 5,560 View
  • 263 Download
  • 4 Web of Science
  • 5 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
Metabolic syndrome (MetS) is reportedly a crucial risk factor for coronavirus disease 2019 (COVID-19). Since the epidemiological studies that examine this association are few and include small samples, we investigated the relationship between MetS and COVID-19 severity and death using a larger sample in the Republic of Korea.
Methods
We analyzed 66,321 patients, 4,066 of whom had COVID-19. We used chi-square tests to examine patients’ characteristics. We performed logistic regression analysis to analyze differences in COVID-19 infection and clinical outcomes according to the presence of MetS.
Results
Although MetS was not significantly associated with COVID-19 risk, acquiring MetS was significantly associated with the risk of severe COVID-19 outcomes (odds ratio [OR], 1.97; 95% confidence interval [CI], 1.34 to 2.91; P=0.001). The mortality risk was significantly higher in COVID-19 patients with MetS (OR, 1.74; 95% CI, 1.17 to 2.59; P=0.006). Patients with abnormal waist circumference were approximately 2.07 times more likely to develop severe COVID-19 (P<0.001), and high-density lipoprotein cholesterol (HDL-C) levels were significantly associated with COVID-19; the mortality risk due to COVID-19 was 1.74 times higher in men with an HDL-C level of <40 mg/dL and in women with an HDL-C level of <50 mg/dL (P=0.012).
Conclusion
COVID-19 is likely associated with severity and death in patients with MetS or in patients with MetS risk factors. Therefore, patients with MetS or those with abnormal waist circumference and HDL-C levels need to be treated with caution.

Citations

Citations to this article as recorded by  
  • Heterogeneity in familial clustering of metabolic syndrome components in the multiethnic GENNID study
    Jia Y. Wan, Deborah Goodman, Sukh Makhnoon, Trina M. Norden‐Krichmar, Baolin Wu, Karen L. Edwards
    Obesity.2024; 32(1): 176.     CrossRef
  • Identification of shared genetic risks underlying metabolic syndrome and its related traits in the Korean population
    Jun Young Kim, Yoon Shin Cho
    Frontiers in Genetics.2024;[Epub]     CrossRef
  • Metabolic health is more strongly associated with the severity and mortality of coronavirus disease 2019 than obesity
    Hye Yeon Koo, Jae-Ryun Lee, Jin Yong Lee, Hyejin Lee
    Archives of Public Health.2024;[Epub]     CrossRef
  • Associated Factors with Changes of Metabolic Abnormalities among General Population in COVID-19 Pandemic
    Eunjoo Kwon, Eun-Hee Nah, Suyoung Kim, Seon Cho, Hyeran Park
    Korean Journal of Health Promotion.2023; 23(2): 55.     CrossRef
  • Association between metabolic syndrome and mortality in patients with COVID-19: A nationwide cohort study
    Hyo Jin Park, Jin-Hyung Jung, Kyungdo Han, Jean Shin, Yoojeong Lee, Yujin Chang, Kyeyeung Park, Yoon Jeong Cho, Youn Seon Choi, Seon Mee Kim, Ga Eun Nam
    Obesity Research & Clinical Practice.2022; 16(6): 484.     CrossRef
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
  • 65,535 View
  • 268 Download
  • 3 Web of Science
  • 3 Crossref
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
Review
Cardiovascular Risk/Epidemiology
Article image
Management of Cardiovascular Risk in Perimenopausal Women with Diabetes
Catherine Kim
Diabetes Metab J. 2021;45(4):492-501.   Published online July 30, 2021
DOI: https://doi.org/10.4093/dmj.2020.0262
  • 6,998 View
  • 173 Download
  • 8 Web of Science
  • 8 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
Cardiovascular disease is the primary cause of mortality in women and men with diabetes. Due to age and worsening of risk factors over the menopausal transition, risk of coronary heart disease events increases in postmenopausal women with diabetes. Randomized studies have conflicted regarding the beneficial impact of estrogen therapy upon intermediate cardiovascular disease markers and events. Therefore, estrogen therapy is not currently recommended for indications other than symptom management. However, for women at low risk of adverse events, estrogen therapy can be used to minimize menopausal symptoms. The risk of adverse events can be estimated using risk engines for the calculation of cardiovascular risk and breast cancer risk in conjunction with screening tools such as mammography. Use of estrogen therapy, statins, and anti-platelet agents can be guided by such calculators particularly for younger women with diabetes. Risk management remains focused upon lifestyle behaviors and achieving optimal levels of cardiovascular risk factors, including lipids, glucose, and blood pressure. Use of pharmacologic therapies to address these risk factors, particularly specific hypoglycemic agents, may provide some additional benefit for risk prevention. The minimal benefit for women with limited life expectancy and risk of complications with intensive therapy should also be considered.

Citations

Citations to this article as recorded by  
  • Nurse-led intervention in the management of patients with cardiovascular diseases: a brief literature review
    Xiaoqin Qiu
    BMC Nursing.2024;[Epub]     CrossRef
  • Sex differences in the correlation between lipids related to cardiovascular risk factors and small dense LDL particles in patients with type 2 diabetes
    Alena Viktorinova, Robert Brnka, Margita Pirosova, Peter Pontuch, Sona Kinova
    Archives of Endocrinology and Metabolism.2024;[Epub]     CrossRef
  • Determination of the Level of Cardiovascular Risk in 172,282 Spanish Working Women
    Ángel Arturo López-González, María Albaladejo Blanco, Cristina Vidal Ribas, Pilar Tomás-Gil, Pere Riutord Sbert, José Ignacio Ramírez-Manent
    Diagnostics.2023; 13(17): 2734.     CrossRef
  • Comparison of seven surrogate insulin resistance indexes for predicting the prevalence of carotid atherosclerosis in normal-weight individuals
    Zeyu Liu, Bi Deng, Qin Huang, Ruxin Tu, Fang Yu, Jian Xia, Jie Feng
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications
    Joon Ho Moon, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(1): 3.     CrossRef
  • 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
  • Global hotspots and prospects of perimenopausal depression: A bibliometric analysis via CiteSpace
    Mingzhou Gao, Hao Zhang, Zhan Gao, Ya Sun, Jieqiong Wang, Fengqin Wei, Dongmei Gao
    Frontiers in Psychiatry.2022;[Epub]     CrossRef
  • State of metabolic processes and ways to improve them in premenopausal women due to the life extension strategy
    I.V. Lakhno
    REPRODUCTIVE ENDOCRINOLOGY.2021; (61): 51.     CrossRef
Original Article
Complications
Article image
Screening Tools Based on Nomogram for Diabetic Kidney Diseases in Chinese Type 2 Diabetes Mellitus Patients
Ganyi Wang, Biyao Wang, Gaoxing Qiao, Hao Lou, Fei Xu, Zhan Chen, Shiwei Chen
Diabetes Metab J. 2021;45(5):708-718.   Published online April 13, 2021
DOI: https://doi.org/10.4093/dmj.2020.0117
  • 8,057 View
  • 152 Download
  • 8 Web of Science
  • 8 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The influencing factors of diabetic kidney disease (DKD) in Chinese patients with type 2 diabetes mellitus (T2DM) were explored to develop and validate a DKD diagnostic tool based on nomogram approach for patients with T2DM.
Methods
A total of 2,163 in-hospital patients with diabetes diagnosed from March 2015 to March 2017 were enrolled. Specified logistic regression models were used to screen the factors and establish four different diagnostic tools based on nomogram according to the final included variables. Discrimination and calibration were used to assess the performance of screening tools.
Results
Among the 2,163 participants with diabetes (1,227 men and 949 women), 313 patients (194 men and 120 women) were diagnosed with DKD. Four different screening equations (full model, laboratory-based model 1 [LBM1], laboratory-based model 2 [LBM2], and simplified model) showed good discriminations and calibrations. The C-indexes were 0.8450 (95% confidence interval [CI], 0.8202 to 0.8690) for full model, 0.8149 (95% CI, 0.7892 to 0.8405) for LBM1, 0.8171 (95% CI, 0.7912 to 0.8430) for LBM2, and 0.8083 (95% CI, 0.7824 to 0.8342) for simplified model. According to Hosmer-Lemeshow goodness-of-fit test, good agreement between the predicted and observed DKD events in patients with diabetes was observed for full model (χ2=3.2756, P=0.9159), LBM1 (χ2=7.749, P=0.4584), LBM2 (χ2=10.023, P=0.2634), and simplified model (χ2=12.294, P=0.1387).
Conclusion
LBM1, LBM2, and simplified model exhibited excellent predictive performance and availability and could be recommended for screening DKD cases among Chinese patients with diabetes.

Citations

Citations to this article as recorded by  
  • Developing screening tools to estimate the risk of diabetic kidney disease in patients with type 2 diabetes mellitus
    Xu Cao, Xiaomei Pei
    Technology and Health Care.2024; 32(3): 1807.     CrossRef
  • Development of Serum Lactate Level-Based Nomograms for Predicting Diabetic Kidney Disease in Type 2 Diabetes Mellitus Patients
    Chunxia Jiang, Xiumei Ma, Jiao Chen, Yan Zeng, Man Guo, Xiaozhen Tan, Yuping Wang, Peng Wang, Pijun Yan, Yi Lei, Yang Long, Betty Yuen Kwan Law, Yong Xu
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 1051.     CrossRef
  • Two-Dimensional Ultrasound-Based Radiomics Nomogram for Diabetic Kidney Disease: A Pilot Study
    Xingyue Huang, Yugang Hu, Yao Zhang, Qing Zhou
    International Journal of General Medicine.2024; Volume 17: 1877.     CrossRef
  • Risk prediction models for diabetic nephropathy among type 2 diabetes patients in China: a systematic review and meta-analysis
    Wenbin Xu, Yanfei Zhou, Qian Jiang, Yiqian Fang, Qian Yang
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Changes in urinary exosomal protein CALM1 may serve as an early noninvasive biomarker for diagnosing diabetic kidney disease
    Tao Li, Tian ci Liu, Na Liu, Man Zhang
    Clinica Chimica Acta.2023; 547: 117466.     CrossRef
  • Development and validation of a novel nomogram to predict diabetic kidney disease in patients with type 2 diabetic mellitus and proteinuric kidney disease
    Hui Zhuan Tan, Jason Chon Jun Choo, Stephanie Fook-Chong, Yok Mooi Chin, Choong Meng Chan, Chieh Suai Tan, Keng Thye Woo, Jia Liang Kwek
    International Urology and Nephrology.2022; 55(1): 191.     CrossRef
  • Nomogram-Based Chronic Kidney Disease Prediction Model for Type 1 Diabetes Mellitus Patients Using Routine Pathological Data
    Nakib Hayat Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Shamim Ahmad, María Liz Crespo, Andrés Cicuttin, Fahmida Haque, Ahmad Ashrif A. Bakar, Mohammad Arif Sobhan Bhuiyan
    Journal of Personalized Medicine.2022; 12(9): 1507.     CrossRef
  • Development and assessment of diabetic nephropathy prediction model using hub genes identified by weighted correlation network analysis
    Xuelian Zhang, Yao Wang, Zhaojun Yang, Xiaoping Chen, Jinping Zhang, Xin Wang, Xian Jin, Lili Wu, Xiaoyan Xing, Wenying Yang, Bo Zhang
    Aging.2022; 14(19): 8095.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP