Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
16 "Kyoung Hwa Ha"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Article
Lifestyle
Article image
Ultra-Processed Food Consumption and Obesity in Korean Adults
Jee-Seon Shim, Kyoung Hwa Ha, Dae Jung Kim, Hyeon Chang Kim
Diabetes Metab J. 2023;47(4):547-558.   Published online April 26, 2023
DOI: https://doi.org/10.4093/dmj.2022.0026
  • 3,256 View
  • 143 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
This study aimed to investigate the association between consumption of ultra-processed foods (UPF) and obesity in Korean adults.
Methods
We included the Cardiovascular and Metabolic Diseases Etiology Research Center cohort study baseline data of adults aged 30 to 64 years who completed a validated food frequency questionnaire. UPF was defined using the NOVA food classification. Multivariable linear and logistic regression analyses were performed to assess the association of dietary energy contribution of UPF with obesity indicators (body mass index [BMI], obesity, waist circumference [WC], and abdominal obesity).
Results
Consumption of UPF accounted for 17.9% of total energy intake and obesity and abdominal obesity prevalence was 35.4% and 30.2%, respectively. Compared with those in the lowest quartile of UPF consumption, adults in the highest quartile had greater BMI (β=0.36; 95% confidence interval [CI], 0.15 to 0.56), WC (β=1.03; 95% CI, 0.46 to 1.60), higher odds of having obesity (odds ratio [OR], 1.24; 95% CI, 1.07 to 1.45), and abdominal obesity (OR, 1.34; 95% CI, 1.14 to 1.57), after adjusting for sociodemographic characteristics, health-related behaviors, and family history of diseases. Dose-response associations between UPF consumption and obesity indicators were consistently found (all P trend <0.01). However, the strength of association was halved for all obesity indicators after further adjustments for total energy intake and overall diet quality score, and the trend toward association for obesity and WC disappeared.
Conclusion
Our finding supports the evidence that consumption of UPF is positively associated with obesity among Korean adults.

Citations

Citations to this article as recorded by  
  • Ultra-processed food consumption and increased risk of metabolic syndrome in Korean adults: A cross-sectional analysis of the KNHANES 2016–2020
    Hansol Park, Youngmi Lee, Jinah Hwang, Yujin Lee
    Nutrition.2024; 122: 112374.     CrossRef
  • Diet quality partially mediates the association between ultraprocessed food consumption and adiposity indicators
    Jee‐Seon Shim, Kyoung Hwa Ha, Dae Jung Kim, Hyeon Chang Kim
    Obesity.2023; 31(9): 2430.     CrossRef
  • Development of a Semi-Quantitative Food-Frequency Questionnaire for Korean Adults with Obesity
    Jina Chung, Seoeun Ahn, Hyojee Joung, Sangah Shin
    Nutrients.2023; 15(22): 4848.     CrossRef
Brief Report
Metabolic Risk/Epidemiology
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 Metab J. 2022;46(5):803-807.   Published online January 11, 2022
DOI: https://doi.org/10.4093/dmj.2021.0236
  • 65,535 View
  • 399 Download
  • 5 Web of Science
  • 8 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
We investigated the incidence of diagnosed diabetes in South Korean adults (aged ≥20 years) by analyzing data for the National Health Insurance Service–National Sample Cohort. From 2006 to 2015, the overall incidence rate of diagnosed diabetes decreased by approximately 0.1% per year until 2015. Although, this trend was observed in individuals aged 40 years or over, the rate increased slightly in the 20–29 and 30–39 years age groups, from 0.5 to 0.7 and 2.0 to 2.6 per 1,000 individuals, respectively. The proportion of obese young adults with diabetes increased remarkably, from 51.4% in 2006 to 72.4% in 2015. Thus, young adults need early identification and weight-control strategies to prevent diabetes.

Citations

Citations to this article as recorded by  
  • 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
  • Young-Onset Diabetes in East Asians: From Epidemiology to Precision Medicine
    Juliana C.N. Chan, Chun-Kwan O, Andrea O.Y. Luk
    Endocrinology and Metabolism.2024; 39(2): 239.     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
  • Revisiting the Diabetes Crisis in Korea: Call for Urgent Action
    Jun Sung Moon
    The Journal of Korean Diabetes.2023; 24(1): 1.     CrossRef
  • Position Statement on the Appropriateness and Significance of Adding the Glycated Hemoglobin Test to the National Health Examination
    Ji Hye Kim, Dae Jung Kim, Jaehyun Kim, Sangjoon Park, Kyunghoon Lee, Jun Goo Kang, Eu Jeong Ku, Su Kyoung Kwon, Won Jun Kim, Young Sang Lyu, Jang Won Son, Young Sil Eom, Kyung Ae Lee, Jeongrim Lee, Jung Min Lee, Jung Hwa Lee, Jung Hwa Jung, Hochan Cho, Da
    The Journal of Korean Diabetes.2023; 24(4): 178.     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
  • 젊은 2형 당뇨병 환자의 관리
    재현 배
    Public Health Weekly Report.2022; 15(35): 2474.     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
Erratum
Trends in Cardiovascular Complications and Mortality among Patients with Diabetes in South Korea
Jung Hwan Park, Kyoung Hwa Ha, Bo Yeon Kim, Jae Hyuk Lee, Dae Jung Kim
Diabetes Metab J. 2021;45(2):283.   Published online March 25, 2021
DOI: https://doi.org/10.4093/dmj.2021.0026
Corrects: Diabetes Metab J 2021;45(1):120
  • 4,461 View
  • 116 Download
  • 1 Web of Science
  • 4 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Cardiovascular Outcomes according to Comorbidities and Low-Density Lipoprotein Cholesterol in Korean People with Type 2 Diabetes Mellitus
    Min Kyong Moon, Junghyun Noh, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun, Bum Joon Kim, Kyung-Do Han, In-Kyung Jeong
    Diabetes & Metabolism Journal.2023; 47(1): 45.     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
  • Epidemiological characteristics of diabetes mellitus in Korea
    Soon Young Lee
    Journal of the Korean Medical Association.2022; 65(10): 640.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk
    Min Kyong Moon
    The Journal of Korean Diabetes.2021; 22(4): 259.     CrossRef
Brief Reports
Complications
Article image
Trends in the Incidence, Prevalence, and Mortality of End-Stage Kidney Disease in South Korea
Min-Jeong Lee, Kyoung Hwa Ha, Dae Jung Kim, Inwhee Park
Diabetes Metab J. 2020;44(6):933-937.   Published online December 23, 2020
DOI: https://doi.org/10.4093/dmj.2020.0156
  • 6,096 View
  • 246 Download
  • 15 Web of Science
  • 16 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Knowledge of the epidemiologic characteristics of end-stage kidney disease (ESKD) patients is essential. The trends in the prevalence, incidence, and mortality rates of ESKD were analyzed retrospectively using the Korean National Health Insurance ServiceNational Sample Cohort database between 2006 and 2015. From 2006 to 2015, the incidence of ESKD decreased from 28.6 to 24.0 per 100,000 people and showed a decreasing pattern with or without diabetes mellitus. However, the incidence of those aged ≥75 years increased, as did the mean age at the onset of ESKD. From 2007 to 2015, the prevalence of ESKD increased in all age groups, but particularly in those aged ≥75 years. The prevalence of ESKD differed by sex and diabetes mellitus status and this gap widened over time. Mortality rates in ESKD patients remained relatively constant throughout the study period. However, mortality rates in ESKD without diabetes decreased over the same period.

Citations

Citations to this article as recorded by  
  • Kidney Health Plan 2033 in Korea: bridging the gap between the present and the future
    Do Hyoung Kim, Young Youl Hyun, Jin Joo Cha, Sua Lee, Hyun Kyung Lee, Jong Wook Choi, Su-Hyun Kim, Sang Youb Han, Cheol Whee Park, Eun Young Lee, Dae Ryong Cha, Sung Gyun Kim, Chun Soo Lim, Sun-Hee Park
    Kidney Research and Clinical Practice.2024; 43(1): 8.     CrossRef
  • Remnant cholesterol is an independent risk factor for the incidence of chronic kidney disease in newly-diagnosed type 2 diabetes: A nationwide population-based study
    Soo Yeon Jang, Minwoong Kang, Eyun Song, Ahreum Jang, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
    Diabetes Research and Clinical Practice.2024; 210: 111639.     CrossRef
  • Effects of Kt/Vurea on outcomes according to age in patients on maintenance hemodialysis
    Junseok Jeon, Gui Ok Kim, Bo Yeon Kim, Eun Jung Son, Jun Young Do, Jung Eun Lee, Seok Hui Kang
    Clinical Kidney Journal.2024;[Epub]     CrossRef
  • 2023 Diabetic Kidney Disease Fact Sheet in Korea
    Nam Hoon Kim, Mi-Hae Seo, Jin Hyung Jung, Kyung Do Han, Mi Kyung Kim, Nan Hee Kim
    Diabetes & Metabolism Journal.2024; 48(3): 463.     CrossRef
  • Waist circumference and end‐stage renal disease based on glycaemic status: National Health Insurance Service data 2009–2018
    Yun Kyung Cho, Ji Hye Huh, Shinje Moon, Yoon Jung Kim, Yang‐Hyun Kim, Kyung‐do Han, Jun Goo Kang, Seong Jin Lee, Sung‐Hee Ihm
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(1): 585.     CrossRef
  • Usefulness of continuous glucose monitoring of blood glucose control in patients with diabetes undergoing hemodialysis: A pilot study
    Sua Lee, Soyoung Lee, Kyeong Min Kim, Jong Ho Shin
    Frontiers in Medicine.2023;[Epub]     CrossRef
  • Association between N-Terminal Prohormone Brain Natriuretic Peptide and Decreased Skeletal Muscle Mass in a Healthy Adult Population: A Cross-Sectional Study
    Tae Kyung Yoo, Marie Yung-Chen Wu, Moon Soo Kim, Mi-Yeon Lee, Yong-Taek Lee, Kyung Jae Yoon, Chul-Hyun Park
    Endocrinology and Metabolism.2023; 38(2): 269.     CrossRef
  • Age at Mortality in Patients with Type 2 Diabetes Who Underwent Kidney Transplantation: An Analysis of Data from the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
    Sun Ok Song, Eugene Han, Kang Ju Son, Bong-Soo Cha, Byung-Wan Lee
    Journal of Clinical Medicine.2023; 12(9): 3160.     CrossRef
  • Epigenome-wide association study of diabetic chronic kidney disease progression in the Korean population: the KNOW-CKD study
    Hye Youn Sung, Sangjun Lee, Miyeun Han, Woo Ju An, Hyunjin Ryu, Eunjeong Kang, Yong Seek Park, Seung Eun Lee, Curie Ahn, Kook-Hwan Oh, Sue K. Park, Jung-Hyuck Ahn
    Scientific Reports.2023;[Epub]     CrossRef
  • Effects of Dapagliflozin in Asian Patients With Heart Failure and Reduced Ejection Fraction in DAPA-HF
    Kieran F. Docherty, Inder S. Anand, Chern-En Chiang, Vijay K. Chopra, Akshay S. Desai, Masafumi Kitakaze, Subodh Verma, Pham N. Vinh, Silvio E. Inzucchi, Lars Køber, Mikhail N. Kosiborod, Felipe A. Martinez, Olof Bengtsson, Piotr Ponikowski, Marc S. Sabat
    JACC: Asia.2022; 2(2): 139.     CrossRef
  • Glomerular filtration rate as a kidney outcome of diabetic kidney disease: a focus on new antidiabetic drugs
    Hyo Jin Kim, Sang Soo Kim, Sang Heon Song
    The Korean Journal of Internal Medicine.2022; 37(3): 502.     CrossRef
  • The risk of Parkinson's disease according to diabetic kidney disease status in a Korean population
    Seung Eun Lee, Juhwan Yoo, Han Seok Choi, Kyungdo Han, Kyoung-Ah Kim
    Parkinsonism & Related Disorders.2022; 100: 13.     CrossRef
  • Renoprotective Mechanism of Sodium-Glucose Cotransporter 2 Inhibitors: Focusing on Renal Hemodynamics
    Nam Hoon Kim, Nan Hee Kim
    Diabetes & Metabolism Journal.2022; 46(4): 543.     CrossRef
  • The Incidence and Risk Factors of Renal Insufficiency among Korean HIV infected Patients: The Korea HIV/AIDS Cohort Study
    Jun Hyoung Kim, Heeseon Jang, Jung Ho Kim, Joon Young Song, Shin-Woo Kim, Sang Il Kim, Bo Youl Choi, Jun Yong Choi
    Infection & Chemotherapy.2022; 54(3): 534.     CrossRef
  • Sex difference in the association among nutrition, muscle mass, and strength in peritoneal dialysis patients
    Jun Young Do, Seok Hui Kang
    Scientific Reports.2022;[Epub]     CrossRef
  • Additive interaction of diabetes mellitus and chronic kidney disease in cancer patient mortality risk
    Seohyun Kim, Gyuri Kim, Jae Hyeon Kim
    Scientific Reports.2022;[Epub]     CrossRef
Complications
Article image
Trends in Cardiovascular Complications and Mortality among Patients with Diabetes in South Korea
Jung Hwan Park, Kyoung Hwa Ha, Bo Yeon Kim, Jae Hyuk Lee, Dae Jung Kim
Diabetes Metab J. 2021;45(1):120-124.   Published online December 9, 2020
DOI: https://doi.org/10.4093/dmj.2020.0175
Correction in: Diabetes Metab J 2021;45(2):283
  • 12,134 View
  • 355 Download
  • 33 Web of Science
  • 37 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
We investigated the cardiovascular complications and mortality rates of patients with diabetes in South Korea. The rates of hospitalization due to cardiovascular complications and mortality were analyzed using the Korean National Health Insurance Service-National Sample Cohort. From 2006 to 2015, the rates of hospitalization due to major cardiovascular complications decreased, while those due to heart failure (from 72 to 146 and 124 to 161 per 10,000 men and women, respectively) and peripheral artery disease (from 39 to 55 and 19 to 35 per 10,000 men and women, respectively) increased. In the period 2007 to 2015, the mortality rates for cancer, cerebrovascular disease, diabetes, heart disease, and hypertensive disease all decreased. However, the mortality rate for pneumonia increased. We observed a continuous reduction in cardiovascular complications and mortality in adults with diabetes. However, with the increase in some diabetes complications, more efforts are needed to prevent diabetes complications.

Citations

Citations to this article as recorded by  
  • Risk factor control and cardiovascular events in patients with type 2 diabetes mellitus
    Do Kyeong Song, Young Sun Hong, Yeon-Ah Sung, Hyejin Lee, Hidetaka Hamasaki
    PLOS ONE.2024; 19(2): e0299035.     CrossRef
  • Remnant cholesterol is an independent risk factor for the incidence of chronic kidney disease in newly-diagnosed type 2 diabetes: A nationwide population-based study
    Soo Yeon Jang, Minwoong Kang, Eyun Song, Ahreum Jang, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
    Diabetes Research and Clinical Practice.2024; 210: 111639.     CrossRef
  • Global trends in the incidence of hospital admissions for diabetes-related foot disease and amputations: a review of national rates in the 21st century
    Peter A. Lazzarini, Susanna M. Cramb, Jonathan Golledge, Jedidiah I. Morton, Dianna J. Magliano, Jaap J. Van Netten
    Diabetologia.2023; 66(2): 267.     CrossRef
  • Inequalities in cancer mortality trends in people with type 2 diabetes: 20 year population-based study in England
    Suping Ling, Francesco Zaccardi, Eyad Issa, Melanie J. Davies, Kamlesh Khunti, Karen Brown
    Diabetologia.2023; 66(4): 657.     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
  • Empagliflozin is associated with lower risk of cardiovascular events and all‐cause mortality in routine care in East Asia: Results from the EMPRISE study
    Dae Jung Kim, Wayne H‐H Sheu, Wook‐Jin Chung, Daisuke Yabe, Kyoung Hwa Ha, Masaomi Nangaku, Elise Chia‐Hui Tan, Koichi Node, Atsutaka Yasui, Weiyu Lei, Sunwoo Lee, Laura Saarelainen, Anouk Deruaz‐Luyet, Moe H Kyaw, Yutaka Seino
    Journal of Diabetes Investigation.2023; 14(3): 417.     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
  • The effect of metabolic dysfunction-associated fatty liver disease and diabetic kidney disease on the risk of hospitalization of heart failure in type 2 diabetes: a retrospective cohort study
    Seung Eun Lee, Juhwan Yoo, Bong-Seong Kim, Han Seok Choi, Kyungdo Han, Kyoung-Ah Kim
    Diabetology & Metabolic Syndrome.2023;[Epub]     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
  • 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
  • The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
    Ji-Won Chun, Hun-Sung Kim
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • The Role of Echocardiography in Evaluating Cardiovascular Diseases in Patients with Diabetes Mellitus
    Sun Hwa Lee, Jae-Hyeong Park
    Diabetes & Metabolism Journal.2023; 47(4): 470.     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
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     CrossRef
  • Interpreting global trends in type 2 diabetes complications and mortality
    Mohammed K. Ali, Jonathan Pearson-Stuttard, Elizabeth Selvin, Edward W. Gregg
    Diabetologia.2022; 65(1): 3.     CrossRef
  • Cardiovascular disease in patients with type 2 diabetes
    Ja Young Jeon, Dae Jung Kim
    Journal of Diabetes Investigation.2022; 13(4): 614.     CrossRef
  • Effects of physical activity on cardiovascular outcomes and mortality in Korean patients with diabetes: a nationwide population-based cohort study
    Inha Jung, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(1): 42.     CrossRef
  • Editorial: Management of Diabetes and its Complications: A Focus on Endothelial Dysfunction
    Shanhu Qiu, Jianhua Ma, Tongzhi Wu
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Smoking, Metabolic Syndrome, and Cardiovascular Disease
    Seo Young Kang
    Korean Journal of Family Practice.2022; 12(2): 59.     CrossRef
  • Cardiovascular disease in type 2 diabetes mellitus: progress toward personalized management
    Cheng-Xu Ma, Xiao-Ni Ma, Cong-Hui Guan, Ying-Dong Li, Dídac Mauricio, Song-Bo Fu
    Cardiovascular Diabetology.2022;[Epub]     CrossRef
  • Adherence to healthy lifestyle behaviors as a preventable risk factor for severe hypoglycemia in people with type 2 diabetes: A longitudinal nationwide cohort study
    Jae‐Seung Yun, Kyungdo Han, Yong‐Moon Park, Eugene Han, Yong‐ho Lee, Seung‐Hyun Ko
    Journal of Diabetes Investigation.2022; 13(9): 1533.     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
  • 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
  • Renoprotective Mechanism of Sodium-Glucose Cotransporter 2 Inhibitors: Focusing on Renal Hemodynamics
    Nam Hoon Kim, Nan Hee Kim
    Diabetes & Metabolism Journal.2022; 46(4): 543.     CrossRef
  • Association between carotid atherosclerosis and presence of intracranial atherosclerosis using three-dimensional high-resolution vessel wall magnetic resonance imaging in asymptomatic patients with type 2 diabetes
    Ji Eun Jun, You-Cheol Hwang, Kyu Jeong Ahn, Ho Yeon Chung, Geon-Ho Jahng, Soonchan Park, In-Kyung Jeong, Chang-Woo Ryu
    Diabetes Research and Clinical Practice.2022; 191: 110067.     CrossRef
  • Blood Pressure Target in Type 2 Diabetes Mellitus
    Hyun-Jin Kim, Kwang-il Kim
    Diabetes & Metabolism Journal.2022; 46(5): 667.     CrossRef
  • Fenofibrate add-on to statin treatment is associated with low all-cause death and cardiovascular disease in the general population with high triglyceride levels
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Metabolism.2022; 137: 155327.     CrossRef
  • Trends in diabetes-related complications in Singapore, 2013–2020: A registry-based study
    Joshua Kuan Tan, Nur Nasyitah Mohamed Salim, Gek Hsiang Lim, Sing Yi Chia, Julian Thumboo, Yong Mong Bee, Ferdinando Carlo Sasso
    PLOS ONE.2022; 17(10): e0275920.     CrossRef
  • Association between the Diabetes Drug Cost and Cardiovascular Events and Death in Korea: A National Health Insurance Service Database Analysis
    Seung Min Chung, Ji-In Lee, Eugene Han, Hyun-Ae Seo, Eonju Jeon, Hye Soon Kim, Ji Sung Yoon
    Endocrinology and Metabolism.2022; 37(5): 759.     CrossRef
  • 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
  • Heart Failure and Diabetes Mellitus: Dangerous Liaisons
    Hae-Young Lee
    International Journal of Heart Failure.2022; 4(4): 163.     CrossRef
  • Diabetes and Stroke
    Junghyun Noh
    The Journal of Korean Diabetes.2021; 22(1): 26.     CrossRef
  • Current trends in epidemiology of cardiovascular disease and cardiovascular risk management in type 2 diabetes
    Jae-Seung Yun, Seung-Hyun Ko
    Metabolism.2021; 123: 154838.     CrossRef
Original Article
Drug/Regimen
Article image
Cardiovascular Safety of Sodium Glucose Cotransporter 2 Inhibitors as Add-on to Metformin Monotherapy in Patients with Type 2 Diabetes Mellitus
Ja Young Jeon, Kyoung Hwa Ha, Dae Jung Kim
Diabetes Metab J. 2021;45(4):505-514.   Published online October 30, 2020
DOI: https://doi.org/10.4093/dmj.2020.0057
  • 8,245 View
  • 349 Download
  • 10 Web of Science
  • 11 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Using real-world data, cardiovascular safety was investigated in metformin users newly starting sodium glucose cotransporter 2 (SGLT2) inhibitors compared with other glucose-lowering drugs in Korea.
Methods
This was a retrospective observational study using the National Health Insurance Service claims database in Korea. The study period was from September 2014 to December 2016. The study included subjects who were newly prescribed SGLT2 inhibitors or other glucose-lowering drugs while on metformin monotherapy; cohort 1 was composed of new users of SGLT2 inhibitors versus dipeptidyl peptidase-4 (DPP-4) inhibitors and cohort 2 included new users of SGLT2 inhibitors versus sulfonylureas. To balance the patient characteristics, propensity score matching was performed at a 1:1 ratio. Cardiovascular outcomes included hospitalization for heart failure (HHF), all-cause mortality, HHF plus all-cause mortality, myocardial infarction (MI), stroke, and modified major adverse cardiovascular events (MACEs).
Results
After propensity score matching, each cohort group was well balanced at baseline (21,688 pairs in cohort 1 and 20,120 pairs in cohort 2). As the second-line treatment, use of SGLT2 inhibitors was associated with a lower risk of HHF and HHF plus all-cause mortality compared with DPP-4 inhibitors. In addition, use of SGLT2 inhibitors versus sulfonylurea as add-on therapy to metformin was associated with decreased risks of HHF, all-cause mortality, HHF plus all-cause mortality, MI, stroke, and modified MACEs.
Conclusion
SGLT2 inhibitors can be a good second-line drug to reduce the incidence of cardiovascular diseases compared with DPP-4 inhibitors or sulfonylureas in people with type 2 diabetes mellitus.

Citations

Citations to this article as recorded by  
  • 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
  • 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
  • Advances in Research on Type 2 Diabetes Mellitus Targets and Therapeutic Agents
    Jingqian Su, Yingsheng Luo, Shan Hu, Lu Tang, Songying Ouyang
    International Journal of Molecular Sciences.2023; 24(17): 13381.     CrossRef
  • Cardioprotective effects of dipeptidyl peptidase-4 inhibitors versus sulfonylureas in addition to metformin: A nationwide cohort study of patients with type 2 diabetes
    Jui Wang, Hon-Yen Wu, Kuo-Liong Chien
    Diabetes & Metabolism.2022; 48(3): 101299.     CrossRef
  • Cardiovascular disease in patients with type 2 diabetes
    Ja Young Jeon, Dae Jung Kim
    Journal of Diabetes Investigation.2022; 13(4): 614.     CrossRef
  • The Impact of Novel Anti-Diabetic Medications on CV Outcomes: A New Therapeutic Horizon for Diabetic and Non-Diabetic Cardiac Patients
    Israel Mazin, Fernando Chernomordik, Paul Fefer, Shlomi Matetzky, Roy Beigel
    Journal of Clinical Medicine.2022; 11(7): 1904.     CrossRef
  • Effect of Sodium-Glucose Cotransporter Inhibitors on Major Adverse Cardiovascular Events and Hospitalization for Heart Failure in Patients With Type 2 Diabetes Mellitus and Atrial Fibrillation
    Chang Hee Kwon, Ye-Jee Kim, Min-Ju Kim, Myung-Jin Cha, Min Soo Cho, Gi-Byoung Nam, Kee-Joon Choi, Jun Kim
    The American Journal of Cardiology.2022; 178: 35.     CrossRef
  • Using real-world data for supporting regulatory decision making: Comparison of cardiovascular and safety outcomes of an empagliflozin randomized clinical trial versus real-world data
    Ha Young Jang, In-Wha Kim, Jung Mi Oh
    Frontiers in Pharmacology.2022;[Epub]     CrossRef
  • Cardiovascular Safety of SGLT2 Inhibitors Compared to DPP4 Inhibitors and Sulfonylureas as the Second-Line of Therapy in T2DM Using Large, Real-World Clinical Data in Korea
    Kyuho Kim, Sung Hee Choi
    Diabetes & Metabolism Journal.2021; 45(4): 502.     CrossRef
  • The effect of sodium‐glucose transport protein 2 inhibitors on mortality and heart failure in randomized trials versus observational studies
    Jesper Krogh, Carsten Hjorthøj, Søren L. Kristensen, Christian Selmer, Steen B. Haugaard
    Diabetic Medicine.2021;[Epub]     CrossRef
  • Outcomes of patients with type 2 diabetes treated with SGLT-2 inhibitors versus DPP-4 inhibitors. An Italian real-world study in the context of other observational studies
    Enrico Longato, Benedetta Maria Bonora, Barbara Di Camillo, Giovanni Sparacino, Lara Tramontan, Angelo Avogaro, Gian Paolo Fadini
    Diabetes Research and Clinical Practice.2021; 179: 109024.     CrossRef
Brief Report
Complications
Article image
Diabetic Retinopathy and Related Clinical Practice for People with Diabetes in Korea: A 10-Year Trend Analysis
Yoo-Ri Chung, Kyoung Hwa Ha, Kihwang Lee, Dae Jung Kim
Diabetes Metab J. 2020;44(6):928-932.   Published online July 10, 2020
DOI: https://doi.org/10.4093/dmj.2020.0096
  • 5,467 View
  • 183 Download
  • 6 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   

We performed a retrospective cohort study including people diagnosed with diabetes from 2006 to 2015 according to the Korean National Health Insurance Service-National Sample Cohort database, to analyze the changes in the prevalence, screening rate, and treatment patterns for diabetic retinopathy (DR) over 10 years. The proportion of people who underwent fundus screening for DR steadily increased over the past decade. The prevalence of DR increased from 13.4% in 2006 to 15.9% in 2015, while that of proliferative DR steadily decreased from 1.29% in 2006 to 1.16% in 2015. The proportion of patients undergoing retinal photocoagulation constantly decreased. The prevalence of DR increased over the past decade, while its severity seemed to have improved, with a decreased rate of proliferative DR and retinal photocoagulation. A higher proportion of patients underwent ophthalmic screening using fundus examination, but still less than 30% of patients with diabetes underwent comprehensive examination in 2015.

Citations

Citations to this article as recorded by  
  • Variations in Electronic Health Record-Based Definitions of Diabetic Retinopathy Cohorts
    Jimmy S. Chen, Ivan A. Copado, Cecilia Vallejos, Fritz Gerald P. Kalaw, Priyanka Soe, Cindy X. Cai, Brian C. Toy, Durga Borkar, Catherine Q. Sun, Jessica G. Shantha, Sally L. Baxter
    Ophthalmology Science.2024; 4(4): 100468.     CrossRef
  • Present and future screening programs for diabetic retinopathy: a narrative review
    Andreas Abou Taha, Sebastian Dinesen, Anna Stage Vergmann, Jakob Grauslund
    International Journal of Retina and Vitreous.2024;[Epub]     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
  • Visual Acuity Outcomes in Diseases Associated with Reduced Visual Acuity: An Analysis of the National Health Insurance Service Database in Korea
    Sang-Yeob Kim, Byeong-Yeon Moon, Hyun-Gug Cho, Dong-Sik Yu
    International Journal of Environmental Research and Public Health.2022; 19(14): 8689.     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
  • Prevalence and Risk Factors of Diabetic Retinopathy in Diabetes People using Korean National Health and Nutrition Examination Survey VII
    Ihn Sook Jeong, Chan Mi Kang
    Journal of Korean Academy of Community Health Nursing.2022; 33(4): 408.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Ja Young Jeon
    Diabetes & Metabolism Journal.2021; 45(4): 613.     CrossRef
Response
Original Articles
Epidemiology
Diabetes and the Risk of Infection: A National Cohort Study
Eun Jin Kim, Kyoung Hwa Ha, Dae Jung Kim, Young Hwa Choi
Diabetes Metab J. 2019;43(6):804-814.   Published online October 21, 2019
DOI: https://doi.org/10.4093/dmj.2019.0071
  • 8,992 View
  • 260 Download
  • 51 Web of Science
  • 49 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Several studies have shown that people with diabetes are vulnerable to infection. This study compared the risk of infection-related hospitalizations, intensive care unit (ICU) admission, and deaths between the person with diabetes and the general population in South Korea.

Methods

We conducted a cohort study of 66,426 diabetes and 132,852 age-sex-region-matched non-diabetes controls from the general population using a sample of data from the National Health Insurance Service-National Sample Cohort. The cohort was followed up for 9 years. Infections were classified into 17 separate categories. We used Poisson regression, with adjustment for household income and other comorbidities, to estimate incidence rate ratios (IRRs) in order to compare of infection-related hospitalizations, ICU admissions, and deaths.

Results

Compared to non-diabetes controls, diabetes group had a greater risk of almost all the types of infections considered, with the adjusted IRRs (aIRRs) for infection-related hospitalizations being the highest for hepatic abscess (aIRR, 10.17; 95% confidence interval [CI], 7.04 to 14.67), central nervous system (CNS) infections (aIRR, 8.72; 95% CI, 6.64 to 11.45), and skin and soft tissue infections other than cellulitis (SSTIs) (aIRR, 3.52; 95% CI, 3.20 to 3.88). Diabetes group also had a greater risk of ICU admission and death due to SSTIs (aIRR, 11.75; 95% CI, 7.32 to 18.86), CNS infections (aIRR, 5.25; 95% CI, 3.53 to 7.79), and bone and joint infections (aIRR, 4.78; 95% CI, 3.09 to 7.39).

Conclusion

In South Korea, people with diabetes has a considerably higher incidence of infection-related hospitalizations and deaths than the general population.

Citations

Citations to this article as recorded by  
  • A matched cohort study evaluating the risks of infections in people with type 1 diabetes and their associations with glycated haemoglobin
    Umar A.R. Chaudhry, Iain M. Carey, Julia A. Critchley, Stephen DeWilde, Elizabeth S. Limb, Liza Bowen, Arshia Panahloo, Derek G. Cook, Peter H. Whincup, Tess Harris
    Diabetes Research and Clinical Practice.2024; 207: 111023.     CrossRef
  • A Retrospective Analysis of Incidence and Risk Factors for the Development of Secondary Infections Following COVID-19
    Rama Parthasarathy, Jayakumar Rajagopal, Sandeep Konaka Gautamdas, Tanushree Sarvepalli, Ramanaprasanth Govindaraj
    Journal of Health and Allied Sciences NU.2024;[Epub]     CrossRef
  • Fournier's gangrene with Streptococcus Anginosus in the setting of hidrandenitis suppurativa perineal abscess: A case report
    Andreas Lau, Nobel Nguyen, Alvin Hui, Johnson Ong, Michael Salehpour
    International Journal of Surgery Case Reports.2024; 116: 109319.     CrossRef
  • Association Between Risk of Clostridium difficile Infection and Duration of Proton Pump Inhibitor or H2-Receptor Antagonist Use in Hospitalized Patients
    Chien-Huei Huang, Yung-Hsin Tseng, Wen-Shan Tsai, Chien-Chou Su, Ching-Lan Cheng, Yea-Huei Kao Yang, Yu-Ching Chang, Yi-Hsuan Liu
    Infectious Diseases and Therapy.2024; 13(2): 373.     CrossRef
  • Biomaterials for diabetic bone repair: Influencing mechanisms, multi-aspect progress and future prospects
    Bingbing Wang, Yong Huang, Qiang Cai, Zhipo Du, Xiaoming Li
    Composites Part B: Engineering.2024; 274: 111282.     CrossRef
  • Higher mortality and longer length of stay in hospitalized patients with newly diagnosed diabetes
    Seol A Jang, Kyoung Min Kim, Hye Jin Kang, Seok-Jae Heo, Chul Sik Kim, Seok Won Park
    Diabetes Research and Clinical Practice.2024; 210: 111601.     CrossRef
  • The risk of acute infections in new users of antidepressants: An observational cohort study
    N. Aebi, C.R. Meier, S.S. Jick, U. Lang, J. Spoendlin
    Journal of Affective Disorders.2024; 354: 152.     CrossRef
  • Explore new quinoxaline pharmacophore tethered sulfonamide fragments as in vitro α‐glucosidase, α‐amylase, and acetylcholinesterase inhibitors with ADMET and molecular modeling simulation
    Ahmed Ragab, Mohamed A. Salem, Yousry A. Ammar, Wael M. Aboulthana, Mohamed H. Helal, Moustafa S. Abusaif
    Drug Development Research.2024;[Epub]     CrossRef
  • Comparative Retrospective Assessment of the Effectiveness and Risk Factors of Fluoroquinolones, Cephalosporines, and Selective Antibiotic Prophylaxis for Transrectal Prostate Biopsy
    Maximilian Haack, Christian Ruckes, Robert Dotzauer, Anita Thomas, Maximilian P. Sparwasser, Nikita D. Fischer, Lisa J. Frey, Gregor Duwe, Axel Haferkamp, Igor Tsaur, Maximilian P. Brandt
    Urologia Internationalis.2024; : 1.     CrossRef
  • Diabetes mellitus: Lessons from COVID-19 for monkeypox infection
    JA Ruiz-Pacheco, LA Castillo-Díaz, R. Arreola-Torres, S. Fonseca-Coronado, B. Gómez-Navarro
    Primary Care Diabetes.2023; 17(2): 113.     CrossRef
  • Trends in the incidence of Clostridioides difficile infection in adults and the elderly insured by Medicaid compared to commercial insurance or Medicare only
    Margaret A. Olsen, Dustin Stwalley, Andrew D. Tipping, Matthew R. Keller, Holly Yu, Erik R. Dubberke
    Infection Control & Hospital Epidemiology.2023; 44(7): 1076.     CrossRef
  • Diabetes and infectious disease mortality in Mexico City
    Fiona Bragg, Pablo Kuri-Morales, Jaime Berumen, Adrián Garcilazo-Ávila, Carlos Gonzáles-Carballo, Raúl Ramírez-Reyes, Rogelio Santacruz-Benitez, Diego Aguilar-Ramirez, Louisa Gnatiuc Friedrichs, William G Herrington, Michael Hill, Eirini Trichia, Rachel W
    BMJ Open Diabetes Research & Care.2023; 11(2): e003199.     CrossRef
  • Epidemiological profile and risk factors associated with death in patients receiving invasive mechanical ventilation in an adult intensive care unit from Brazil: a retrospective study
    Camila Vantini Capasso Palamim, Matheus Negri Boschiero, Fernando Augusto Lima Marson
    Frontiers in Medicine.2023;[Epub]     CrossRef
  • The sodium‐glucose cotransporter‐2 inhibitor canagliflozin does not increase risk of non‐genital skin and soft tissue infections in people with type 2 diabetes mellitus: A pooled post hoc analysis from the CANVAS Program and CREDENCE randomized double‐bli
    Amy Kang, Brendan Smyth, Brendon L. Neuen, Hiddo J. L. Heerspink, Gian Luca Di Tanna, Hong Zhang, Clare Arnott, Carinna Hockham, Rajiv Agarwal, George Bakris, David M. Charytan, Dick de Zeeuw, Tom Greene, Adeera Levin, Carol Pollock, David C. Wheeler, Ken
    Diabetes, Obesity and Metabolism.2023; 25(8): 2151.     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
  • Features of nutritional support in stress hyperglycemia and diabetes mellitus in the intensive care unit
    I.N. Pasechnik, A.E. Sirota, P.A. Talyzin, T.V. Novikova
    Anesteziologiya i reanimatologiya.2023; (3): 59.     CrossRef
  • The Association Between Malignant Otitis Externa and Diabetes Mellitus in Africa: A Systematic Review
    Taoreed Adegoke Azeez, Adekunle Kazeem Adeagbo
    Indian Journal of Otolaryngology and Head & Neck Surgery.2023; 75(4): 3277.     CrossRef
  • Clinical characteristics and outcomes in diabetic and non-diabetic patients hospitalized for COVID-19: A multicenter cross-sectional study in Southwestern Iran
    Mehrnaz Ahmadi, Javad Zarei, Ali Hadianfard, Touba Moghadam
    Acta Facultatis Medicae Naissensis.2023; 40(2): 179.     CrossRef
  • A Case Report of Extensive Penile Inflammation from Dermofat Graft
    Chan Min Chung, Jong Min Choi, Myong Chul Park, Jae Hyun Kim
    Journal of Wound Management and Research.2023; 19(2): 144.     CrossRef
  • Discovering potential pathways between type 2 diabetes mellitus and diabetic retinopathy: A big data analysis of the South Korean National Sample Cohort
    Yoojoong Kim, Changwan Hyun, Minhyeok Lee
    Medicine.2023; 102(31): e34576.     CrossRef
  • Diabetes-Related Mortality in a Developing Country: An Exploration of Tertiary Hospital Data
    Yanjmaa Sankhuu, Odgarig Altaisaikhan, Munkh-Od Battsogt, Oyuntugs Byambasukh, Altaisaikhan Khasag
    Journal of Clinical Medicine.2023; 12(20): 6687.     CrossRef
  • Nicotinamide pathways as the root cause of sepsis – an evolutionary perspective on macrophage energetic shifts
    Melinda S. Suchard, Dana M. Savulescu
    The FEBS Journal.2022; 289(4): 955.     CrossRef
  • Association of sarcopenia with a higher risk of infection in patients with type 2 diabetes
    Yongze Zhang, Suiyan Weng, Lingning Huang, Ximei Shen, Fengying Zhao, Sunjie Yan
    Diabetes/Metabolism Research and Reviews.2022;[Epub]     CrossRef
  • Does Preoperative Glycemic Control Restore Immune Defense Against Implant-related Infection in Mice With Diabetes?
    Junqing Lin, Tengli Huang, Haifeng Wei, Bingbo Bao, Tao Gao, Xianyou Zheng, Hongyi Zhu
    Clinical Orthopaedics & Related Research.2022; 480(5): 1008.     CrossRef
  • Integrating nutrition and food safety in food systems policy and programming
    Stella Nordhagen, Elisabetta Lambertini, Caroline Smith DeWaal, Bonnie McClafferty, Lynnette M. Neufeld
    Global Food Security.2022; 32: 100593.     CrossRef
  • Long-term association of serum selenium levels and the diabetes risk: Findings from a case-control study nested in the prospective Jinchang Cohort
    Zhiyuan Cheng, Yuanyuan Li, Jamie L. Young, Ning Cheng, Chenhui Yang, George D. Papandonatos, Karl T. Kelsey, John Pierce Wise, Kunchong Shi, Tongzhang Zheng, Simin Liu, Yana Bai
    Science of The Total Environment.2022; 818: 151848.     CrossRef
  • Characterization of vaginal immune response to a polypropylene mesh: Diabetic vs. normoglycemic conditions
    Rui Liang, Abigail Fisk, Gabrielle King, Leslie Meyn, Xiangwei Xiao, Pamela Moalli
    Acta Biomaterialia.2022; 143: 310.     CrossRef
  • Role of Metformin in Morbidity and Mortality Associated with Urinary Tract Infections in Patients with Type 2 Diabetes
    Fu-Shun Yen, James Cheng-Chung Wei, Ying-Hsiu Shih, Wei-Lin Pan, Chih-Cheng Hsu, Chii-Min Hwu
    Journal of Personalized Medicine.2022; 12(5): 702.     CrossRef
  • Systematic Review of Literature Examining Bacterial Urinary Tract Infections in Diabetes
    Santosh Paudel, Preeti P. John, Seyedeh Leila Poorbaghi, Tara M. Randis, Ritwij Kulkarni, Suat Simsek
    Journal of Diabetes Research.2022; 2022: 1.     CrossRef
  • Characterization of the Skin Bacteriome and Histology Changes in Diabetic Pigs
    Meirong Li, Jifang Yuan, Qian Hou, Yali Zhao, Lingzhi Zhong, Xin Dai, Hua Chen, Xiaobing Fu
    The International Journal of Lower Extremity Wounds.2022; : 153473462211008.     CrossRef
  • Diabetes and SARS-CoV-2–Is There a Mutual Connection?
    Anna P. Jedrzejak, Edyta K. Urbaniak, Jadwiga A. Wasko, Natalia Ziojla, Malgorzata Borowiak
    Frontiers in Cell and Developmental Biology.2022;[Epub]     CrossRef
  • Temporally ordered associations between type 2 diabetes and brain disorders – a Danish register-based cohort study
    Theresa Wimberley, Henriette T. Horsdal, Isabell Brikell, Thomas M. Laursen, Aske Astrup, Giuseppe Fanelli, Janita Bralten, Geert Poelmans, Veerle Van Gils, Willemijn J. Jansen, Stephanie J. B. Vos, Valérie Bertaina-Anglade, Lucia Camacho-Barcia, Bernat M
    BMC Psychiatry.2022;[Epub]     CrossRef
  • Mortality and related risk factors in the co-presentation of tuberculosis and type 2 diabetes mellitus: a population-based study
    Po-Tsang Chen, Nai-Cheng Yeh, Shih-Feng Weng, Kai-Jen Tien
    Annals of Medicine.2022; 54(1): 2469.     CrossRef
  • Early glycaemic variability increases 28-day mortality and prolongs intensive care unit stay in critically ill patients with pneumonia
    Seong Ho Kim, Ji Young Kim, Eun Song Kim, Il Rae Park, Eun Yeong Ha, Seung Min Chung, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
    Annals of Medicine.2022; 54(1): 2724.     CrossRef
  • Multifunctional Derivatives of Spiropyrrolidine Tethered Indeno-Quinoxaline Heterocyclic Hybrids as Potent Antimicrobial, Antioxidant and Antidiabetic Agents: Design, Synthesis, In Vitro and In Silico Approaches
    Nouha Bouali, Manel Ben Hammouda, Iqrar Ahmad, Siwar Ghannay, Amira Thouri, Amal Dbeibia, Harun Patel, Walid Sabri Hamadou, Karim Hosni, Mejdi Snoussi, Mohd Adnan, Md Imtaiyaz Hassan, Emira Noumi, Kaïss Aouadi, Adel Kadri
    Molecules.2022; 27(21): 7248.     CrossRef
  • Decorated Polyetheretherketone Implants with Antibacterial and Antioxidative Effects through Layer-by-Layer Nanoarchitectonics Facilitate Diabetic Bone Integration with Infection
    Jiyue Huang, Shishui Lin, Xinxin Bai, Weixiang Li, Rui Zhang, Chenfang Miao, Xintian Zhang, Zhengjun Huang, Min Chen, Shaohuang Weng
    ACS Applied Materials & Interfaces.2022; 14(47): 52579.     CrossRef
  • Staphylococcal scalded skin syndrome in adults with obesity and type 2 diabetes: A case series
    Carolina Vitale, Valentina Spinozzi, Luca Colangeli, Paolo Sbraccia, Valeria Guglielmi
    Clinical Case Reports.2022;[Epub]     CrossRef
  • Impaired host response and the presence of Acinetobacter baumannii in the serum microbiome of type-II diabetic patients
    Dasith Perera, Sarah E. Kleinstein, Benjamin Hanson, Hatice Hasturk, Ryan Eveloff, Marcelo Freire, Matthew Ramsey
    iScience.2021; 24(1): 101941.     CrossRef
  • Trends in Cardiovascular Complications and Mortality among Patients with Diabetes in South Korea
    Jung Hwan Park, Kyoung Hwa Ha, Bo Yeon Kim, Jae Hyuk Lee, Dae Jung Kim
    Diabetes & Metabolism Journal.2021; 45(1): 120.     CrossRef
  • The effect of pay-for-performance program on infection events and mortality rate in diabetic patients: a nationwide population-based cohort study
    Yi-Fang Wu, Mei-Yen Chen, Tien-Hsing Chen, Po-Chang Wang, Yun-Shing Peng, Ming-Shyan Lin
    BMC Health Services Research.2021;[Epub]     CrossRef
  • Infections associated with diabetic-care devices
    Bansree Patel, Ronny Priefer
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2021; 15(2): 519.     CrossRef
  • Diabetes and acute bacterial skin and skin structure infections
    Marco Falcone, Juris J Meier, Maria Giulia Marini, Riccardo Caccialanza, José María Aguado, Stefano Del Prato, Francesco Menichetti
    Diabetes Research and Clinical Practice.2021; 174: 108732.     CrossRef
  • Impact of diabetes mellitus on in-hospital mortality in adult patients with COVID-19: a systematic review and meta-analysis
    Halla Kaminska, Lukasz Szarpak, Dariusz Kosior, Wojciech Wieczorek, Agnieszka Szarpak, Mahdi Al-Jeabory, Wladyslaw Gawel, Aleksandra Gasecka, Milosz J. Jaguszewski, Przemyslawa Jarosz-Chobot
    Acta Diabetologica.2021; 58(8): 1101.     CrossRef
  • Skin diseases in the Da Qing Diabetes Study: a cross-sectional study
    Chang-Bing Shen, Xin Qian, Rui-Xing Yu, Xue-Lei Ji, Yin-Juan Shi, Jing Gao, Cheng-Xu Li, Ke-Ke Li, Wen-Min Fei, Xue Shen, Zi-Yi Wang, Yang Han, Xiao-Li Ning, Randy Ko, Yi-Hsiang Hsu, Xian-Yong Yin, Guang-Wei Li, Yong Cui
    Chinese Medical Journal.2021; 134(10): 1191.     CrossRef
  • Exploring the Clinical Utility of Metagenomic Next-Generation Sequencing in the Diagnosis of Pulmonary Infection
    Guijuan Xie, Bo Zhao, Xun Wang, Liang Bao, Yiming Xu, Xian Ren, Jiali Ji, Ting He, Hongqing Zhao
    Infectious Diseases and Therapy.2021; 10(3): 1419.     CrossRef
  • Debridement, antibiotics, and implant retention combined with direct intra-articular antibiotic infusion in patients with acute hematogenous periprosthetic joint infection of the knee
    Pruk Chaiyakit, Surapoj Meknavin, Natthapong Hongku, Ittiwat Onklin
    BMC Musculoskeletal Disorders.2021;[Epub]     CrossRef
  • Colorectal abscess treated with fenestration under colonoscopy
    Hong-Xia Wang, Wei Wang, Zheng-Hua Zhou, Yan Dou
    Asian Journal of Surgery.2021; 44(8): 1133.     CrossRef
  • Factors Influencing the Prognosis of Patients with Intra-Abdominal Infection and Its Value in Assessing Prognosis
    Jianfei Pan, Quanwei Zhu, Xiaoqian Zhang, Jun Xu, Linlin Pan, Xiang Mao, Xiao Wu
    Infection and Drug Resistance.2021; Volume 14: 3425.     CrossRef
  • Shoulder septic arthritis following routine influenza vaccination
    Josiah Damisa, Zereda Zulkeefli, Lebur Rohman, David Burton
    Journal of Surgical Case Reports.2020;[Epub]     CrossRef
Epidemiology
Article image
Diabetes Fact Sheets in Korea, 2018: An Appraisal of Current Status
Bo-Yeon Kim, Jong Chul Won, Jae Hyuk Lee, Hun-Sung Kim, Jung Hwan Park, Kyoung Hwa Ha, Kyu Chang Won, Dae Jung Kim, Kyong Soo Park
Diabetes Metab J. 2019;43(4):487-494.   Published online July 17, 2019
DOI: https://doi.org/10.4093/dmj.2019.0067
  • 11,687 View
  • 182 Download
  • 99 Web of Science
  • 102 Crossref
AbstractAbstract PDFPubReader   
Background

The objective of this study was to investigate the prevalence, management, and comorbidities of diabetes among Korean adults aged 30 years and older.

Methods

This study used 2013 to 2016 data from the Korea National Health and Nutrition Examination Survey, a nationally-representative survey of the Korean population. Diabetes was defined as fasting glucose ≥126 mg/dL, current use of antidiabetic medication, a previous history of diabetes, or glycosylated hemoglobin (HbA1c) ≥6.5%.

Results

In 2016, 14.4% (approximately 5.02 million) of Korean adults had diabetes. The prevalence of impaired fasting glucose was 25.3% (8.71 million). From 2013 to 2016, the awareness, control, and treatment rates for diabetes were 62.6%, 56.7%, and 25.1%, respectively. People with diabetes had the following comorbidities: obesity (50.4%), abdominal obesity (47.8%), hypertension (55.3%), and hypercholesterolemia (34.9%). The 25.1%, 68.4%, and 44.2% of people with diabetes achieved HbA1c <6.5%, blood pressure <140/85 mm Hg, and low density lipoprotein cholesterol <100 mg/dL. Only 8.4% of people with diabetes had good control of all three targets.

Conclusion

This study confirms that diabetes is as an important public health problem. Efforts should be made to increase awareness, detection, and comprehensive management of diabetes to reduce diabetes-related morbidity and mortality.

Citations

Citations to this article as recorded by  
  • Social Support, eHealth Literacy, and mHealth Use in Older Adults With Diabetes
    Minjin Kim, Beomsoo Kim, Sunhee Park
    CIN: Computers, Informatics, Nursing.2024; 42(2): 136.     CrossRef
  • Cardiovascular safety of evogliptin dual and triple therapy in patients with type 2 diabetes: a nationwide cohort study
    Sohee Park, Han Eol Jeong, In-Sun Oh, Sangmo Hong, Sung Hoon Yu, Chang Beom Lee, Ju-Young Shin
    BMJ Open.2024; 14(4): e077084.     CrossRef
  • Gamma‐glutamyl transferase and the risk of all‐cause and disease‐specific mortality in patients with diabetes: A nationwide cohort study
    Goh Eun Chung, Su‐Min Jeong, Su Jong Yu, Jeong‐Ju Yoo, Yuri Cho, Kyu‐na Lee, Dong Wook Shin, Yoon Jun Kim, Jung‐Hwan Yoon, Kyungdo Han, Eun Ju Cho
    Journal of Diabetes.2024;[Epub]     CrossRef
  • Prognostic value of resting heart rate in predicting undiagnosed diabetes in adults: Korean National Health and Nutrition Examination Survey 2008–2018
    Dong-Hyuk Park, Seon Young Goo, Sung Hyun Hong, Ji-hee Min, Ji Yong Byeon, Mi-Kyung Lee, Hae Dong Lee, Byoung Wook Ahn, Heejin Kimm, Sun Ha Jee, Dong Hoon Lee, Yong-ho Lee, Eun Seok Kang, Justin Y. Jeon
    Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(1): 141.     CrossRef
  • Levels and correlates of risk factor control in diabetes mellitus –ELSA-Brasil
    Bruna Cristine Chwal, Rodrigo Citton Padilha dos Reis, Maria Inês Schmidt, Bruce B. Duncan, Sandhi Maria Barreto, Rosane Harter Griep
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Changes in total cholesterol level and cardiovascular disease risk among type 2 diabetes patients
    Jaewon Khil, Sung Min Kim, Jooyoung Chang, Seulggie Choi, Gyeongsil Lee, Joung Sik Son, Sang Min Park, NaNa Keum
    Scientific Reports.2023;[Epub]     CrossRef
  • Effects of dapagliflozin compared with glimepiride on body composition in Asian patients with type 2 diabetes inadequately controlled with metformin: The BEYOND study
    Hyeong Kyu Park, Kyoung‐Ah Kim, Kyung‐Wan Min, Tae‐Seo Sohn, In Kyung Jeong, Chul Woo Ahn, Nan‐Hee Kim, Ie Byung Park, Ho Chan Cho, Choon Hee Chung, Sung Hee Choi, Kang Seo Park, Seoung‐Oh Yang, Kwan Woo Lee
    Diabetes, Obesity and Metabolism.2023; 25(9): 2743.     CrossRef
  • Comparison of SGLT2 inhibitors with DPP-4 inhibitors combined with metformin in patients with acute myocardial infarction and diabetes mellitus
    Young Sang Lyu, Seok Oh, Jin Hwa Kim, Sang Yong Kim, Myung Ho Jeong
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Association between Smoking Cessation and the Risk of Cholangiocarcinoma and Ampulla of Vater Cancer: A Nationwide Cohort Study
    Joo-Hyun Park, Jung Yong Hong, Kyungdo Han
    Liver Cancer.2023; 12(5): 457.     CrossRef
  • Achievement of Treatment Goals and Mortality in Individuals with Diabetes: The ELSA-Brasil Study
    Bruna Cristine Chwal, Rodrigo Citton P. dos Reis, Maria Inês Schmidt, Sandhi Maria Barreto, Rosane Harter Griep, Bruce B. Duncan
    Journal of Clinical Medicine.2023; 12(24): 7663.     CrossRef
  • Cigarette Smoking and Risk of Infection-Related Mortality: A Cohort Study
    Hae Suk Cheong, Yoosoo Chang, Eun-Jeong Joo, Seungho Ryu
    Nicotine & Tobacco Research.2022; 24(2): 204.     CrossRef
  • Angiotensin‐converting enzyme inhibitors versus angiotensin receptor blockers: New‐onset diabetes mellitus stratified by statin use
    Juyoung Shin, Hyunah Kim, Hyeon Woo Yim, Ju Han Kim, Suehyun Lee, Hun‐Sung Kim
    Journal of Clinical Pharmacy and Therapeutics.2022; 47(1): 97.     CrossRef
  • Exposure to polycyclic aromatic hydrocarbons and volatile organic compounds is associated with a risk of obesity and diabetes mellitus among Korean adults: Korean National Environmental Health Survey (KoNEHS) 2015–2017
    Inae Lee, Hyunwoong Park, Min Joo Kim, Sunmi Kim, Sohyeon Choi, Jeongim Park, Yoon Hee Cho, Sooyeon Hong, Jiyoung Yoo, Gi Jeong Cheon, Kyungho Choi, Young Joo Park, Min Kyong Moon
    International Journal of Hygiene and Environmental Health.2022; 240: 113886.     CrossRef
  • Factors Associated with Chronic Disease and Health Care Utilization Among Young Adults in South Korea
    Jongho Park, Yeaeun Kim
    Population Health Management.2022; 25(3): 407.     CrossRef
  • Sleep duration and mortality in patients with diabetes: Results from the 2007–2015 Korea national health and nutrition examination survey
    Kang-Mo Gu, Se Hee Min, Jaeyoung Cho
    Diabetes & Metabolism.2022; 48(3): 101312.     CrossRef
  • Retinal Vascular Caliber Changes in Early Type 2 Diabetic Patients without Retinopathy
    Jeong Woo Park, Jeong Hun Bae, Su Jeong Song, Joon Mo Kim
    Journal of the Korean Ophthalmological Society.2022; 63(1): 20.     CrossRef
  • Association Between Long Working Hours and Chronic Kidney Disease According to Diabetic Status
    Ki Duk Kim, Suk-Yong Jang
    Journal of Occupational & Environmental Medicine.2022; 64(3): 190.     CrossRef
  • Sodium–glucose cotransporter 2 inhibitors do not increase the risk of fractures in real‐world clinical practice in Korea: A national observational cohort study
    Kyoung Hwa Ha, Dae Jung Kim, Yong Jun Choi
    Journal of Diabetes Investigation.2022; 13(6): 986.     CrossRef
  • Improvement of Lipotoxicity-Induced Islet β Cellular Insulin Secretion Disorder by Osteocalcin
    Yafang Zhang, Ling Li, Yongze Zhang, Sunjie Yan, Lingning Huang, Riccardo Calafiore
    Journal of Diabetes Research.2022; 2022: 1.     CrossRef
  • Association between gastric cancer and the risk of depression among South Korean adults
    Sinyoung Kwon, Jinyeong Kim, Taeyeon Kim, Wonjeong Jeong, Eun-Cheol Park
    BMC Psychiatry.2022;[Epub]     CrossRef
  • 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 & Metabolism Journal.2022; 46(2): 273.     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
  • Normalized Creatinine-to-Cystatin C Ratio and Risk of Diabetes in Middle-Aged and Older Adults: The China Health and Retirement Longitudinal Study
    Shanhu Qiu, Xue Cai, Bo Xie, Yang Yuan, Zilin Sun, Tongzhi Wu
    Diabetes & Metabolism Journal.2022; 46(3): 476.     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
  • Long‐term clinical outcomes of oral antidiabetic drugs as fixed‐dose combinations: A nationwide retrospective cohort study
    Sang‐Jun Cho, In‐Sun Oh, Han Eol Jeong, Young Min Cho, Yul Hwangbo, Oriana Hoi Yun Yu, Ju‐Young Shin
    Diabetes, Obesity and Metabolism.2022; 24(10): 2051.     CrossRef
  • Improvement in Age at Mortality and Changes in Causes of Death in the Population with Diabetes: An Analysis of Data from the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
    Eugene Han, Sun Ok Song, Hye Soon Kim, Kang Ju Son, Sun Ha Jee, Bong-Soo Cha, Byung-Wan Lee
    Endocrinology and Metabolism.2022; 37(3): 466.     CrossRef
  • Dietary antioxidant consumption and the risk of type 2 diabetes in South Korean adults: a prospective cohort study based on the Health Examinees study
    Li-Juan Tan, Su Bin Hwang, Shinyoung Jun, Hyojee Joung, Sangah Shin
    BMJ Open.2022; 12(7): e065073.     CrossRef
  • Visual Acuity Outcomes in Diseases Associated with Reduced Visual Acuity: An Analysis of the National Health Insurance Service Database in Korea
    Sang-Yeob Kim, Byeong-Yeon Moon, Hyun-Gug Cho, Dong-Sik Yu
    International Journal of Environmental Research and Public Health.2022; 19(14): 8689.     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
  • Real-World Prescription Patterns and Barriers Related to the Use of Sodium-Glucose Cotransporter 2 Inhibitors among Korean Patients with Type 2 Diabetes Mellitus and Cardiovascular Disease
    Jong Ha Baek, Ye Seul Yang, Seung-Hyun Ko, Kyung Do Han, Jae Hyeon Kim, Min Kyong Moon, Jong Suk Park, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Jong Han Choi, Kyu Yeon Hur
    Diabetes & Metabolism Journal.2022; 46(5): 701.     CrossRef
  • Remnant cholesterol and the risk of cardiovascular disease in type 2 diabetes: a nationwide longitudinal cohort study
    Ji Hye Huh, Kyung-do Han, Yun Kyung Cho, Eun Roh, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm
    Cardiovascular Diabetology.2022;[Epub]     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
  • Effective coverage of diabetes and hypertension: an analysis of Thailand’s national insurance database 2016–2019
    Nattadhanai Rajatanavin, Woranan Witthayapipopsakul, Vuthiphan Vongmongkol, Nithiwat Saengruang, Yaowaluk Wanwong, Aniqa Islam Marshall, Walaiporn Patcharanarumol, Viroj Tangcharoensathien
    BMJ Open.2022; 12(12): e066289.     CrossRef
  • Efficacy and Safety of Treatment with Quadruple Oral Hypoglycemic Agents in Uncontrolled Type 2 Diabetes Mellitus: A Multi-Center, Retrospective, Observational Study
    Jun Sung Moon, Sunghwan Suh, Sang Soo Kim, Heung Yong Jin, Jeong Mi Kim, Min Hee Jang, Kyung Ae Lee, Ju Hyung Lee, Seung Min Chung, Young Sang Lyu, Jin Hwa Kim, Sang Yong Kim, Jung Eun Jang, Tae Nyun Kim, Sung Woo Kim, Eonju Jeon, Nan Hee Cho, Mi-Kyung Ki
    Diabetes & Metabolism Journal.2021; 45(5): 675.     CrossRef
  • Association between secondhand smoke exposure and diabetes mellitus in 131 724 Korean never smokers using self‐reported questionnaires and cotinine levels: Gender differences
    Byung Jin Kim, Ji Hye Kim, Jeong Gyu Kang, Bum Soo Kim, Jin Ho Kang
    Journal of Diabetes.2021; 13(1): 43.     CrossRef
  • Importance of Awareness and Treatment for Diabetes in Influenza Vaccination Coverage of Diabetic Patients under 65 Years: A Population-Based Study
    Yu Mi Ko, Seung Hyun Ko, Kyoungdo Han, Yong-Moon Park, Joon Young Choi, Shin Young Kim, So Hyang Song, Chi Hong Kim, Sung Kyoung Kim
    Diabetes & Metabolism Journal.2021; 45(1): 55.     CrossRef
  • Associations of urinary concentrations of phthalate metabolites, bisphenol A, and parabens with obesity and diabetes mellitus in a Korean adult population: Korean National Environmental Health Survey (KoNEHS) 2015–2017
    Inae Lee, Young Joo Park, Min Joo Kim, Sunmi Kim, Sohyeon Choi, Jeongim Park, Yoon Hee Cho, Sooyeon Hong, Jiyoung Yoo, Hyunwoong Park, Gi Jeong Cheon, Kyungho Choi, Min Kyong Moon
    Environment International.2021; 146: 106227.     CrossRef
  • Early combination versus initial metformin monotherapy in the management of newly diagnosed type 2 diabetes: AnEast Asianperspective
    Linong Ji, Juliana C. N. Chan, Miao Yu, Kun Ho Yoon, Sin Gon Kim, Sung Hee Choi, Chien‐Ning Huang, Shih Te Tu, Chih‐Yuan Wang, Päivi Maria Paldánius, Wayne H. H. Sheu
    Diabetes, Obesity and Metabolism.2021; 23(1): 3.     CrossRef
  • Hypertension and stroke in Asia: A comprehensive review from HOPE Asia
    Yuda Turana, Jeslyn Tengkawan, Yook Chin Chia, Michael Nathaniel, Ji‐Guang Wang, Apichard Sukonthasarn, Chen‐Huan Chen, Huynh Van Minh, Peera Buranakitjaroen, Jinho Shin, Saulat Siddique, Jennifer M. Nailes, Sungha Park, Boon Wee Teo, Jorge Sison, Arieska
    The Journal of Clinical Hypertension.2021; 23(3): 513.     CrossRef
  • Glycaemic control with add‐on thiazolidinedione or a sodium‐glucose co‐transporter‐2 inhibitor in patients with type 2 diabetes after the failure of an oral triple antidiabetic regimen: A 24‐week, randomized controlled trial
    Jaehyun Bae, Ji Hye Huh, Minyoung Lee, Yong‐Ho Lee, Byung‐Wan Lee
    Diabetes, Obesity and Metabolism.2021; 23(2): 609.     CrossRef
  • Triglyceride and glucose index and the risk of gestational diabetes mellitus: A nationwide population-based cohort study
    Jung A Kim, Jinsil Kim, Eun Roh, So-hyeon Hong, You-Bin Lee, Sei Hyun Baik, Kyung Mook Choi, Eunjin Noh, Soon Young Hwang, Geum Joon Cho, Hye Jin Yoo
    Diabetes Research and Clinical Practice.2021; 171: 108533.     CrossRef
  • Effectiveness and safety of sodium‐glucose co‐transporter‐2 inhibitors compared with dipeptidyl peptidase‐4 inhibitors in older adults with type 2 diabetes: A nationwide population‐based study
    Seung Jin Han, Kyoung Hwa Ha, Nami Lee, Dae Jung Kim
    Diabetes, Obesity and Metabolism.2021; 23(3): 682.     CrossRef
  • 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, Ja
    Diabetes & Metabolism Journal.2021; 45(1): 1.     CrossRef
  • Prevalence and diagnosis experience of osteoporosis in postmenopausal women over 50: Focusing on socioeconomic factors
    Min Hyeok Choi, Ji Hee Yang, Jae Seung Seo, Yoon-ji Kim, Suk-Woong Kang, Jose M. Moran
    PLOS ONE.2021; 16(3): e0248020.     CrossRef
  • Metformin use in cancer survivors with diabetes reduces all-cause mortality, based on the Korean National Health Insurance Service between 2002 and 2015
    Joungyoun Kim, Yoon-Jong Bae, Jae-woo Lee, Ye-seul Kim, Yonghwan Kim, Hyo-Sun You, Hyeong-Seop Kim, Eun-A Choi, Ye-Eun Han, Hee-Taik Kang
    Medicine.2021; 100(11): e25045.     CrossRef
  • Role of obesity-induced inflammation in the development of insulin resistance and type 2 diabetes: history of the research and remaining questions
    Jieun Kim, Jongsoon Lee
    Annals of Pediatric Endocrinology & Metabolism.2021; 26(1): 1.     CrossRef
  • White Blood Cell Count as a Predictor of Incident Type 2 Diabetes Mellitus Among Non-Obese Adults: A Longitudinal 10-Year Analysis of the Korean Genome and Epidemiology Study
    Jae-Min Park, Hye Sun Lee, Ju-Young Park, Dong-Hyuk Jung, Ji-Won Lee
    Journal of Inflammation Research.2021; Volume 14: 1235.     CrossRef
  • The Association of Hemoglobin A1c and Fasting Glucose Levels with hs-CRP in Adults Not Diagnosed with Diabetes from the KNHANES, 2017
    Jeong Woo Seo, Sat Byul Park, Ulrike Rothe
    Journal of Diabetes Research.2021; 2021: 1.     CrossRef
  • Effects of Jerusalem Artichoke Extract and Inulin on Blood Glucose Levels and Insulin Secretion in Streptozotocin Induced Diabetic Mice
    Seung Hee Kim, Byung Ki Kim, Boo Yeun Park, Jung Min Kim, Young Jik Lee, Mi Kyung Lee, Sung-Tae Yee, Mi Yeon Kang
    The Journal of Korean Diabetes.2021; 22(1): 60.     CrossRef
  • Health State Utility Values for Type 2 Diabetes and Related Complications in East and Southeast Asia: A Systematic Review and Meta-Analysis
    Chiu Hang Mok, Harley H.Y. Kwok, Carmen S. Ng, Gabriel M. Leung, Jianchao Quan
    Value in Health.2021; 24(7): 1059.     CrossRef
  • Association between alcohol consumption status and obesity-related comorbidities in men: data from the 2016 Korean community health survey
    Bo-Yeon Kim, Hyewon Nam, Jeong-Ju Yoo, Yoon-Young Cho, Dug-Hyun Choi, Chan-Hee Jung, Ji-Oh Mok, Chul-Hee Kim
    BMC Public Health.2021;[Epub]     CrossRef
  • Epidemiology of cardiovascular disease and its risk factors in Korea
    Hyeon Chang Kim
    Global Health & Medicine.2021; 3(3): 134.     CrossRef
  • Korea Heart Disease Fact Sheet 2020: Analysis of Nationwide Data
    Hyeok-Hee Lee, So Mi Jemma Cho, Hokyou Lee, Jongmin Baek, Jang-Ho Bae, Wook-Jin Chung, Hyeon Chang Kim
    Korean Circulation Journal.2021; 51(6): 495.     CrossRef
  • Personalized Type 2 Diabetes Management Using a Mobile Application Integrated with Electronic Medical Records: An Ongoing Randomized Controlled Trial
    Eun-Young Lee, Jae-Seung Yun, Seon-Ah Cha, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Seung-Hyun Ko
    International Journal of Environmental Research and Public Health.2021; 18(10): 5300.     CrossRef
  • Association between toothbrushing and non-alcoholic fatty liver disease
    Ji-Youn Kim, Yong-Moon Park, Gyu-Na Lee, Hyun Chul Song, Yu-Bae Ahn, Kyungdo Han, Seung-Hyun Ko, Houkai Li
    PLOS ONE.2021; 16(5): e0243686.     CrossRef
  • Control of Glucose, Blood Pressure, and Cholesterol among Adults with Diabetes: The Brazilian National Health Survey
    Rodrigo Citton P. dos Reis, Bruce B. Duncan, Célia Landmann Szwarcwald, Deborah Carvalho Malta, Maria Inês Schmidt
    Journal of Clinical Medicine.2021; 10(15): 3428.     CrossRef
  • Comparison of fracture risk between type 1 and type 2 diabetes: a comprehensive real-world data
    J. Ha, C. Jeong, K.-D. Han, Y. Lim, M.K. Kim, H.-S. Kwon, K.-H. Song, M.I. Kang, K.-H. Baek
    Osteoporosis International.2021; 32(12): 2543.     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
  • Etiology, diagnosis, complications, and treatments of diabetic foot
    Dong-Kyo Seo
    Journal of the Korean Medical Association.2021; 64(8): 523.     CrossRef
  • Occupational Noise Exposure and Incidence of High Fasting Blood Glucose: A 3-Year, Multicenter, Retrospective Study
    Seunghan Kim, Byungyoon Yun, Seunghyun Lee, Changyoung Kim, Juho Sim, Ara Cho, Yeonsuh Oh, Jiho Lee, Jinha Yoon
    International Journal of Environmental Research and Public Health.2021; 18(17): 9388.     CrossRef
  • Positive association between the ratio of triglycerides to high-density lipoprotein cholesterol and diabetes incidence in Korean adults
    Joungyoun Kim, Sang-Jun Shin, Ye-Seul Kim, Hee-Taik Kang
    Cardiovascular Diabetology.2021;[Epub]     CrossRef
  • Comparative Evaluation of Standard E TB-Feron ELISA and QuantiFERON-TB Gold Plus Assays in Patients with Tuberculosis and Healthcare Workers
    In Young Yoo, Jaewoong Lee, Ae Ran Choi, Yoon Hee Jun, Hwa Young Lee, Ji Young Kang, Yeon-Joon Park
    Diagnostics.2021; 11(9): 1659.     CrossRef
  • Associations between obesity, weight change and decreased renal function in Korean type 2 diabetic patients: a longitudinal follow-up study
    Bo-Yeon Kim, Dug-Hyun Choi, Chan-Hee Jung, Ji-Oh Mok, Chul-Hee Kim
    BMC Endocrine Disorders.2021;[Epub]     CrossRef
  • Real-World Efficacy and Safety of Dulaglutide in Korean Patients with Type 2 Diabetes Mellitus: A Retrospective Study in a Tertiary Referral Center
    Jee Hee Yoon, A Ram Hong, Wonsuk Choi, Ji Yong Park, Hee Kyung Kim, Ho-Cheol Kang
    Chonnam Medical Journal.2021; 57(3): 211.     CrossRef
  • The History of Insulin Therapy in Korea
    Jun Sung Moon, Jong Chul Won, Young Min Cho
    Diabetes & Metabolism Journal.2021; 45(5): 623.     CrossRef
  • How Can We Adopt the Glucose Tolerance Test to Facilitate Predicting Pregnancy Outcome in Gestational Diabetes Mellitus?
    Kyeong Jin Kim, Nam Hoon Kim, Jimi Choi, Sin Gon Kim, Kyung Ju Lee
    Endocrinology and Metabolism.2021; 36(5): 988.     CrossRef
  • Blood Pressure and Cardiovascular Disease in Older Patients With Diabetes: Retrospective Cohort Study
    Sangmo Hong, Jung Hwan Park, Kyungdo Han, Chang Beom Lee, Dong Sun Kim, Sung Hoon Yu
    Journal of the American Heart Association.2021;[Epub]     CrossRef
  • Long-Term Glycaemic Durability of Early Combination Therapy Strategy versus Metformin Monotherapy in Korean Patients with Newly Diagnosed Type 2 Diabetes Mellitus
    Soon-Jib Yoo, Sang-Ah Chang, Tae Seo Sohn, Hyuk-Sang Kwon, Jong Min Lee, Sungdae Moon, Pieter Proot, Päivi M Paldánius, Kun Ho Yoon
    Diabetes & Metabolism Journal.2021; 45(6): 954.     CrossRef
  • 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 & Metabolism Journal.2021; 45(6): 960.     CrossRef
  • Anti-diabetic effects of aqueous extract of Dendropanax morbifera Lev. leaves in streptozotocin-induced diabetic Sprague-Dawley rats
    Min-Jae Kim, Ye-Jin Kang, Dong-Eon Lee, Suk Kim, Se-Hun Lim, Hu-Jang Lee
    Korean Journal of Veterinary Research.2021; 61(4): e38.     CrossRef
  • The Potential Role of MicroRNA in Diabetic Cardiomyopathy
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2020; 44(1): 54.     CrossRef
  • Diabetes and Metabolism Journal in 2020: Good to Great
    In-Kyung Jeong
    Diabetes & Metabolism Journal.2020; 44(1): 1.     CrossRef
  • Use of SGLT-2 Inhibitors in Patients with Type 2 Diabetes Mellitus and Abdominal Obesity: An Asian Perspective and Expert Recommendations
    Wayne Huey-Herng Sheu, Siew Pheng Chan, Bien J. Matawaran, Chaicharn Deerochanawong, Ambrish Mithal, Juliana Chan, Ketut Suastika, Chin Meng Khoo, Huu Man Nguyen, Ji Linong, Andrea Luk, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2020; 44(1): 11.     CrossRef
  • Underweight Increases the Risk of End-Stage Renal Diseases for Type 2 Diabetes in Korean Population: Data From the National Health Insurance Service Health Checkups 2009–2017
    Yang-Hyun Kim, Jun Goo Kang, Seong Jin Lee, Kyung-do Han, Sung-Hee Ihm, Kyung-Hwan Cho, Yong-Gyu Park
    Diabetes Care.2020; 43(5): 1118.     CrossRef
  • The Role of CD36 in Type 2 Diabetes Mellitus: β-Cell Dysfunction and Beyond
    Jun Sung Moon, Udayakumar Karunakaran, Elumalai Suma, Seung Min Chung, Kyu Chang Won
    Diabetes & Metabolism Journal.2020; 44(2): 222.     CrossRef
  • Metformin treatment for patients with diabetes and chronic kidney disease: A Korean Diabetes Association and Korean Society of Nephrology consensus statement
    Kyu Yeon Hur, Mee Kyoung Kim, Seung Hyun Ko, Miyeun Han, Dong Won Lee, Hyuk-Sang Kwon
    Kidney Research and Clinical Practice.2020; 39(1): 32.     CrossRef
  • Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled Trial
    So Mi Jemma Cho, Jung Hyun Lee, Jee-Seon Shim, Hyungseon Yeom, Su Jin Lee, Yong Woo Jeon, Hyeon Chang Kim
    Journal of Medical Internet Research.2020; 22(10): e17435.     CrossRef
  • Fasting plasma glucose level and the risk of open angle glaucoma: Nationwide population-based cohort study in Korea
    Jin A. Choi, Yong-Moon Park, Kyungdo Han, Jiyoung Lee, Jae-Seung Yun, Seung-Hyun Ko, Bang V Bui
    PLOS ONE.2020; 15(9): e0239529.     CrossRef
  • Smoking as a Target for Prevention of Diabetes
    Ye Seul Yang, Tae Seo Sohn
    Diabetes & Metabolism Journal.2020; 44(3): 402.     CrossRef
  • 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 & Metabolism Journal.2020; 44(5): 687.     CrossRef
  • Increased Mortality Burden in Young Asian Subjects with Dysglycemia and Comorbidities
    Eun-Jung Rhee, Inha Jung, Hyemi Kwon, Se Eun Park, Yang-Hyun Kim, Kyung-Do Han, Yong-Gyu Park, Won-Young Lee
    Journal of Clinical Medicine.2020; 9(4): 1042.     CrossRef
  • Metformin Treatment for Patients with Diabetes and Chronic Kidney Disease: A Korean Diabetes Association and Korean Society of Nephrology Consensus Statement
    Kyu Yeon Hur, Mee Kyoung Kim, Seung Hyun Ko, Miyeun Han, Dong Won Lee, Hyuk-Sang Kwon
    Diabetes & Metabolism Journal.2020; 44(1): 3.     CrossRef
  • Study of hospitalization and mortality in Korean diabetic patients using the diabetes complications severity index
    Hyunju Yoo, Eunjung Choo, Sukhyang Lee
    BMC Endocrine Disorders.2020;[Epub]     CrossRef
  • Comprehensive Trends and Patterns of Antihypertensive Prescriptions Using a Nationwide Claims Database in Korea


    Minji Jung, Eunjung Choo, Sukhyang Lee
    Clinical Epidemiology.2020; Volume 12: 963.     CrossRef
  • The effects of climate on the incidence of benign paroxysmal positional vertigo
    Seung Ri Oh, Sung Jin Min, Chang Eurn Kim, Munyoung Chang, Seog-Kyun Mun
    International Journal of Biometeorology.2020; 64(12): 2119.     CrossRef
  • Prevalence and Current Management of Cardiovascular Risk Factors in Korean Adults Based on Fact Sheets
    Eun-Jung Rhee
    Endocrinology and Metabolism.2020; 35(1): 85.     CrossRef
  • Diabetic Retinopathy and Related Clinical Practice for People with Diabetes in Korea: A 10-Year Trend Analysis
    Yoo-Ri Chung, Kyoung Hwa Ha, Kihwang Lee, Dae Jung Kim
    Diabetes & Metabolism Journal.2020; 44(6): 928.     CrossRef
  • Association between sleep duration and impaired fasting glucose according to work type in non-regular workers: data from the first and second year (2016, 2017) of the 7th Korean National Health and Nutrition Examination (KNHANE) (a cross-sectional study)
    JaeHan Joo, Jae-Gwang Lee, SangWoo Kim, JaeHan Lee, June-Hee Lee, Kyung-Jae Lee
    Annals of Occupational and Environmental Medicine.2020;[Epub]     CrossRef
  • Hepatocellular Carcinoma in Korea between 2012 and 2014: an Analysis of Data from the Korean Nationwide Cancer Registry
    Young Eun Chon, Han Ah Lee, Jun Sik Yoon, Jun Yong Park, Bo Hyun Kim, In Joon Lee, Suk Kyun Hong, Dong Hyeon Lee, Hyun-Joo Kong, Eunyang Kim, Young-Joo Won, Jeong-Hoon Lee
    Journal of Liver Cancer.2020; 20(2): 135.     CrossRef
  • Effect of Switching from Linagliptin to Teneligliptin Dipeptidyl Peptidase-4 Inhibitors in Older Patients with Type 2 Diabetes Mellitus


    Eugene Han, Minyoung Lee, Yong-ho Lee, Hye Soon Kim, Byung-wan Lee, Bong-Soo Cha, Eun Seok Kang
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 4113.     CrossRef
  • Temperature Correction to Enhance Blood Glucose Monitoring Accuracy Using Electrical Impedance Spectroscopy
    Ye Sung Lee, Minkook Son, Alexander Zhbanov, Yugyung Jung, Myoung Hoon Jung, Kunsun Eom, Sung Hyun Nam, Jongae Park, Sung Yang
    Sensors.2020; 20(21): 6231.     CrossRef
  • Predictors of Health-Related Quality of Life in Korean Adults with Diabetes Mellitus
    Mihyun Jeong
    International Journal of Environmental Research and Public Health.2020; 17(23): 9058.     CrossRef
  • The triglyceride-glucose index predicts ischemic heart disease risk in Koreans: a prospective study using National Health Insurance Service data
    Byoungjin Park, Yong-Jae Lee, Hye Sun Lee, Dong-Hyuk Jung
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Independent Impact of Diabetes on the Severity of Coronavirus Disease 2019 in 5,307 Patients in South Korea: A Nationwide Cohort Study (Diabetes Metab J 2020;44:737-46)
    Sun Joon Moon, Eun-Jung Rhee, Won-Young Lee, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2020; 44(6): 942.     CrossRef
  • Does Diabetes Increase the Risk of Contracting COVID-19? A Population-Based Study in Korea
    Sung-Youn Chun, Dong Wook Kim, Sang Ah Lee, Su Jung Lee, Jung Hyun Chang, Yoon Jung Choi, Seong Woo Kim, Sun Ok Song
    Diabetes & Metabolism Journal.2020; 44(6): 897.     CrossRef
  • Independent Impact of Diabetes on the Severity of Coronavirus Disease 2019 in 5,307 Patients in South Korea: A Nationwide-Cohort Study (Diabetes Metab J 2020;44:737-46)
    Kyuho Kim, Tae Jung Oh
    Diabetes & Metabolism Journal.2020; 44(6): 938.     CrossRef
  • Clinical Outcomes of COVID-19 Patients with Type 2 Diabetes: A Population-Based Study in Korea
    Ji Hong You, Sang Ah Lee, Sung-Youn Chun, Sun Ok Song, Byung-Wan Lee, Dae Jung Kim, Edward J. Boyko
    Endocrinology and Metabolism.2020; 35(4): 901.     CrossRef
  • The Liability Threshold Model for Predicting the Risk of Cardiovascular Disease in Patients with Type 2 Diabetes: A Multi-Cohort Study of Korean Adults
    Eun Pyo Hong, Seong Gu Heo, Ji Wan Park
    Metabolites.2020; 11(1): 6.     CrossRef
  • Increased Age of Death and Change in Causes of Death Among Persons With Diabetes Mellitus From the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
    Eugene Han, Sun Ok Song, Hye Soon Kim, Kang Ju Son, Sun Ha Jee, Bong-Soo Cha, Byung-Wan Lee
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Diabetes and Muscle Dysfunction in Older Adults
    Hak Chul Jang
    Annals of Geriatric Medicine and Research.2019; 23(4): 160.     CrossRef
  • Letter: Comparison of the Efficacy of Rosuvastatin Monotherapy 20 mg with Rosuvastatin 5 mg and Ezetimibe 10 mg Combination Therapy on Lipid Parameters in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2019;43:582–9)
    Tae Seo Sohn
    Diabetes & Metabolism Journal.2019; 43(6): 909.     CrossRef
  • Comprehensive Efforts Are Needed to Improve the Quality of Primary Diabetes Care in Korea
    Chan-Hee Jung
    Endocrinology and Metabolism.2019; 34(3): 265.     CrossRef
Complications
Dipeptidyl Peptidase-4 Inhibitors versus Other Antidiabetic Drugs Added to Metformin Monotherapy in Diabetic Retinopathy Progression: A Real World-Based Cohort Study
Yoo-Ri Chung, Kyoung Hwa Ha, Hyeon Chang Kim, Sang Jun Park, Kihwang Lee, Dae Jung Kim
Diabetes Metab J. 2019;43(5):640-648.   Published online February 20, 2019
DOI: https://doi.org/10.4093/dmj.2018.0137
  • 5,257 View
  • 67 Download
  • 17 Web of Science
  • 16 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

To investigate the effects of dipeptidyl peptidase-4 inhibitor (DPP4i) as add-on medications to metformin on progression of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus, compared with sulfonylurea (SU) or thiazolidinedione (TZD).

Methods

We identified 4,447 patients with DPP4i, 6,136 with SU, and 617 with TZD in addition to metformin therapy from the database of Korean National Health Insurance Service between January 2013 and December 2015. Cox proportional hazards regression models were used to calculate hazard ratios (HRs) for DR progression. The progression of DR was defined by the procedure code of panretinal photocoagulation, intravitreal injection or vitrectomy; or the addition of diagnostic code of vitreous hemorrhage, retinal detachment, or neovascular glaucoma.

Results

The age and sex-adjusted HR of DR progression was 0.74 for DPP4i add-on group compared with SU add-on group (95% confidence interval [CI], 0.62 to 0.89). This lower risk of DR progression remained significant after additional adjustments for comorbidities, duration of metformin therapy, intravitreal injections and calendar index year (HR, 0.80; 95% CI, 0.66 to 0.97).

Conclusion

This population-based cohort study showed that the use of DPP4i as add-on therapy to metformin did not increase the risk of DR progression compared to SU.

Citations

Citations to this article as recorded by  
  • Effects of newer-generation anti-diabetics on diabetic retinopathy: a critical review
    Dimitrios P. Ntentakis, Victor San Martin Carvalho Correa, Anastasia Maria Ntentaki, Eleni Delavogia, Toshio Narimatsu, Nikolaos E. Efstathiou, Demetrios G. Vavvas
    Graefe's Archive for Clinical and Experimental Ophthalmology.2024; 262(3): 717.     CrossRef
  • Incretin‐based drugs and the risk of diabetic retinopathy among individuals with type 2 diabetes: A systematic review and meta‐analysis of observational studies
    Samuel Igweokpala, Naheemot Olaoluwa Sule, Antonios Douros, Oriana H. Y. Yu, Kristian B. Filion
    Diabetes, Obesity and Metabolism.2024; 26(2): 721.     CrossRef
  • Weight loss, bariatric surgery, and novel antidiabetic drugs effects on diabetic retinopathy: a review
    Alejandro M. Perez, Emily Neag, Jayanth Sridhar, Basil K. Williams
    Current Opinion in Ophthalmology.2024; 35(3): 192.     CrossRef
  • Role of Systemic Factors in Improving the Prognosis of Diabetic Retinal Disease and Predicting Response to Diabetic Retinopathy Treatment
    Joe Mellor, Anita Jeyam, Joline W.J. Beulens, Sanjeeb Bhandari, Geoffrey Broadhead, Emily Chew, Ward Fickweiler, Amber van der Heijden, Daniel Gordin, Rafael Simó, Janet Snell-Bergeon, Anniina Tynjälä, Helen Colhoun
    Ophthalmology Science.2024; 4(4): 100494.     CrossRef
  • Novel Antidiabetic Drugs and the Risk of Diabetic Retinopathy: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
    Artur Małyszczak, Joanna Przeździecka-Dołyk, Urszula Szydełko-Paśko, Marta Misiuk-Hojło
    Journal of Clinical Medicine.2024; 13(6): 1797.     CrossRef
  • Prognostic factors for the development and progression of proliferative diabetic retinopathy in people with diabetic retinopathy
    Jennifer Perais, Ridhi Agarwal, Jennifer R Evans, Emma Loveman, Jill L Colquitt, David Owens, Ruth E Hogg, John G Lawrenson, Yemisi Takwoingi, Noemi Lois
    Cochrane Database of Systematic Reviews.2023;[Epub]     CrossRef
  • Rapid Reduction of HbA1c and Early Worsening of Diabetic Retinopathy: A Real-world Population-Based Study in Subjects With Type 2 Diabetes
    Rafael Simó, Josep Franch-Nadal, Bogdan Vlacho, Jordi Real, Ester Amado, Juana Flores, Manel Mata-Cases, Emilio Ortega, Mercedes Rigla, Joan-Anton Vallés, Cristina Hernández, Didac Mauricio
    Diabetes Care.2023; 46(9): 1633.     CrossRef
  • Minimum Effective Dose of DPP-4 Inhibitors for Treating Early Stages of Diabetic Retinopathy in an Experimental Model
    Patricia Bogdanov, Hugo Ramos, Marta Valeri, Anna Deàs-Just, Jordi Huerta, Rafael Simó, Cristina Hernández
    Biomedicines.2022; 10(2): 465.     CrossRef
  • Glucagon-Like Peptide 1 Receptor Agonists – Potential Game Changers in the Treatment of Glaucoma?
    Zaynab Ahmad Mouhammad, Rupali Vohra, Anna Horwitz, Anna-Sophie Thein, Jens Rovelt, Barbara Cvenkel, Pete A. Williams, Augusto Azuara-Blanco, Miriam Kolko
    Frontiers in Neuroscience.2022;[Epub]     CrossRef
  • Transcriptomic Analysis Reveals That Retinal Neuromodulation Is a Relevant Mechanism in the Neuroprotective Effect of Sitagliptin in an Experimental Model of Diabetic Retinopathy
    Hugo Ramos, Patricia Bogdanov, Rafael Simó, Anna Deàs-Just, Cristina Hernández
    International Journal of Molecular Sciences.2022; 24(1): 571.     CrossRef
  • The Safety of Pharmacological and Surgical Treatment of Diabetes in Patients with Diabetic Retinopathy—A Review
    Wojciech Matuszewski, Angelika Baranowska-Jurkun, Magdalena Maria Stefanowicz-Rutkowska, Katarzyna Gontarz-Nowak, Ewa Gątarska, Elżbieta Bandurska-Stankiewicz
    Journal of Clinical Medicine.2021; 10(4): 705.     CrossRef
  • Effects of Fibrates on Risk of Development of Diabetic Retinopathy in Japanese Working Age Patients with Type 2 Diabetes and Dyslipidemia: a Retrospective Cohort Study
    Hayato Akimoto, Yasuo Takahashi, Satoshi Asai
    YAKUGAKU ZASSHI.2021; 141(5): 761.     CrossRef
  • Association between Add-On Dipeptidyl Peptidase-4 Inhibitor Therapy and Diabetic Retinopathy Progression
    Eugene Yu-Chuan Kang, Chunya Kang, Wei-Chi Wu, Chi-Chin Sun, Kuan-Jen Chen, Chi-Chun Lai, Tien-Hsing Chen, Yih-Shiou Hwang
    Journal of Clinical Medicine.2021; 10(13): 2871.     CrossRef
  • Understanding molecular upsets in diabetic nephropathy to identify novel targets and treatment opportunities
    Nidhi Raval, Akshant Kumawat, Dnyaneshwar Kalyane, Kiran Kalia, Rakesh K. Tekade
    Drug Discovery Today.2020; 25(5): 862.     CrossRef
  • Letter: Dipeptidyl Peptidase-4 Inhibitors versus Other Antidiabetic Drugs Added to Metformin Monotherapy in Diabetic Retinopathy Progression: A Real World-Based Cohort Study (Diabetes Metab J 2019;43:640–8)
    Jun Sung Moon
    Diabetes & Metabolism Journal.2019; 43(6): 911.     CrossRef
  • Response: Dipeptidyl Peptidase-4 Inhibitors versus Other Antidiabetic Drugs Added to Metformin Monotherapy in Diabetic Retinopathy Progression: A Real World-Based Cohort Study (Diabetes Metab J 2019;43:640–8)
    Yoo-Ri Chung, Kyoung Hwa Ha, Kihwang Lee, Dae Jung Kim
    Diabetes & Metabolism Journal.2019; 43(6): 917.     CrossRef
Epidemiology
Development and Validation of the Korean Diabetes Risk Score: A 10-Year National Cohort Study
Kyoung Hwa Ha, Yong-ho Lee, Sun Ok Song, Jae-woo Lee, Dong Wook Kim, Kyung-hee Cho, Dae Jung Kim
Diabetes Metab J. 2018;42(5):402-414.   Published online July 6, 2018
DOI: https://doi.org/10.4093/dmj.2018.0014
  • 6,088 View
  • 116 Download
  • 22 Web of Science
  • 21 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

A diabetes risk score in Korean adults was developed and validated.

Methods

This study used the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS) of 359,349 people without diabetes at baseline to derive an equation for predicting the risk of developing diabetes, using Cox proportional hazards regression models. External validation was conducted using data from the Korean Genome and Epidemiology Study. Calibration and discrimination analyses were performed separately for men and women in the development and validation datasets.

Results

During a median follow-up of 10.8 years, 37,678 cases (event rate=10.4 per 1,000 person-years) of diabetes were identified in the development cohort. The risk score included age, family history of diabetes, alcohol intake (only in men), smoking status, physical activity, use of antihypertensive therapy, use of statin therapy, body mass index, systolic blood pressure, total cholesterol, fasting glucose, and γ glutamyl transferase (only in women). The C-statistics for the models for risk at 10 years were 0.71 (95% confidence interval [CI], 0.70 to 0.73) for the men and 0.76 (95% CI, 0.75 to 0.78) for the women in the development dataset. In the validation dataset, the C-statistics were 0.63 (95% CI, 0.53 to 0.73) for men and 0.66 (95% CI, 0.55 to 0.76) for women.

Conclusion

The Korean Diabetes Risk Score may identify people at high risk of developing diabetes and may be an effective tool for delaying or preventing the onset of condition as risk management strategies involving modifiable risk factors can be recommended to those identified as at high risk.

Citations

Citations to this article as recorded by  
  • Alanine to glycine ratio is a novel predictive biomarker for type 2 diabetes mellitus
    Kwang Seob Lee, Yong‐ho Lee, Sang‐Guk Lee
    Diabetes, Obesity and Metabolism.2024; 26(3): 980.     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
  • 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
  • Risk prediction models for incident type 2 diabetes in Chinese people with intermediate hyperglycemia: a systematic literature review and external validation study
    Shishi Xu, Ruth L. Coleman, Qin Wan, Yeqing Gu, Ge Meng, Kun Song, Zumin Shi, Qian Xie, Jaakko Tuomilehto, Rury R. Holman, Kaijun Niu, Nanwei Tong
    Cardiovascular Diabetology.2022;[Epub]     CrossRef
  • Gamma-glutamyl transferase to high-density lipoprotein cholesterol ratio: A valuable predictor of type 2 diabetes mellitus incidence
    Wangcheng Xie, Bin Liu, Yansong Tang, Tingsong Yang, Zhenshun Song
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Low aspartate aminotransferase/alanine aminotransferase (DeRitis) ratio assists in predicting diabetes in Chinese population
    Wangcheng Xie, Weidi Yu, Shanshan Chen, Zhilong Ma, Tingsong Yang, Zhenshun Song
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Prediction Models for Type 2 Diabetes Risk in the General Population: A Systematic Review of Observational Studies
    Samaneh Asgari, Davood Khalili, Farhad Hosseinpanah, Farzad Hadaegh
    International Journal of Endocrinology and Metabolism.2021;[Epub]     CrossRef
  • Development of a clinical risk score for incident diabetes: A 10‐year prospective cohort study
    Tae Jung Oh, Jae Hoon Moon, Sung Hee Choi, Young Min Cho, Kyong Soo Park, Nam H Cho, Hak Chul Jang
    Journal of Diabetes Investigation.2021; 12(4): 610.     CrossRef
  • Association between longitudinal blood pressure and prognosis after treatment of cerebral aneurysm: A nationwide population-based cohort study
    Jinkwon Kim, Jang Hoon Kim, Hye Sun Lee, Sang Hyun Suh, Kyung-Yul Lee, Yan Li
    PLOS ONE.2021; 16(5): e0252042.     CrossRef
  • Development of a predictive risk model for all-cause mortality in patients with diabetes in Hong Kong
    Sharen Lee, Jiandong Zhou, Keith Sai Kit Leung, William Ka Kei Wu, Wing Tak Wong, Tong Liu, Ian Chi Kei Wong, Kamalan Jeevaratnam, Qingpeng Zhang, Gary Tse
    BMJ Open Diabetes Research & Care.2021; 9(1): e001950.     CrossRef
  • 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 & Metabolism Journal.2021; 45(4): 515.     CrossRef
  • Development and validation of a new diabetes index for the risk classification of present and new-onset diabetes: multicohort study
    Shinje Moon, Ji-Yong Jang, Yumin Kim, Chang-Myung Oh
    Scientific Reports.2021;[Epub]     CrossRef
  • New risk score model for identifying individuals at risk for diabetes in southwest China
    Liying Li, Ziqiong Wang, Muxin Zhang, Haiyan Ruan, Linxia Zhou, Xin Wei, Ye Zhu, Jiafu Wei, Sen He
    Preventive Medicine Reports.2021; 24: 101618.     CrossRef
  • Multiple Biomarkers Improved Prediction for the Risk of Type 2 Diabetes Mellitus in Singapore Chinese Men and Women
    Yeli Wang, Woon-Puay Koh, Xueling Sim, Jian-Min Yuan, An Pan
    Diabetes & Metabolism Journal.2020; 44(2): 295.     CrossRef
  • Smoking as a Target for Prevention of Diabetes
    Ye Seul Yang, Tae Seo Sohn
    Diabetes & Metabolism Journal.2020; 44(3): 402.     CrossRef
  • Middle-aged men with type 2 diabetes as potential candidates for pancreatic cancer screening: a 10-year nationwide population-based cohort study
    Dong-Hoe Koo, Kyung-Do Han, Hong Joo Kim, Cheol-Young Park
    Acta Diabetologica.2020; 57(2): 197.     CrossRef
  • Systematic review with meta-analysis of the epidemiological evidence relating smoking to type 2 diabetes
    Peter N Lee, Katharine J Coombs
    World Journal of Meta-Analysis.2020; 8(2): 119.     CrossRef
  • Biomarker Score in Risk Prediction: Beyond Scientific Evidence and Statistical Performance
    Heejung Bang
    Diabetes & Metabolism Journal.2020; 44(2): 245.     CrossRef
  • Research progress on Traditional Chinese Medicine syndromes of diabetes mellitus
    Jingkang Wang, Quantao Ma, Yaqi Li, Pengfei Li, Min Wang, Tieshan Wang, Chunguo Wang, Ting Wang, Baosheng Zhao
    Biomedicine & Pharmacotherapy.2020; 121: 109565.     CrossRef
  • Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis
    B. I. Perry, R. Upthegrove, O. Crawford, S. Jang, E. Lau, I. McGill, E. Carver, P. B. Jones, G. M. Khandaker
    Acta Psychiatrica Scandinavica.2020; 142(3): 215.     CrossRef
  • Impact of obesity, fasting plasma glucose level, blood pressure, and renal function on the severity of COVID-19: A matter of sexual dimorphism?
    Kyungmin Huh, Rugyeom Lee, Wonjun Ji, Minsun Kang, In Cheol Hwang, Dae Ho Lee, Jaehun Jung
    Diabetes Research and Clinical Practice.2020; 170: 108515.     CrossRef
Response
Response: Clinical Characteristics of People with Newly Diagnosed Type 2 Diabetes between 2015 and 2016: Difference by Age and Body Mass Index (Diabetes Metab J 2018;42:137-46)
Kyoung Hwa Ha, Dae Jung Kim, Sungrae Kim
Diabetes Metab J. 2018;42(3):251-253.   Published online June 19, 2018
DOI: https://doi.org/10.4093/dmj.2018.0099
  • 4,033 View
  • 43 Download
  • 1 Web of Science
  • 1 Crossref
PDFPubReader   

Citations

Citations to this article as recorded by  
  • 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
Original Articles
Epidemiology
Clinical Characteristics of People with Newly Diagnosed Type 2 Diabetes between 2015 and 2016: Difference by Age and Body Mass Index
Kyoung Hwa Ha, Cheol Young Park, In Kyung Jeong, Hyun Jin Kim, Sang-Yong Kim, Won Jun Kim, Ji Sung Yoon, In Joo Kim, Dae Jung Kim, Sungrae Kim
Diabetes Metab J. 2018;42(2):137-146.   Published online February 14, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.2.137
  • 5,623 View
  • 82 Download
  • 11 Web of Science
  • 12 Crossref
AbstractAbstract PDFPubReader   
Background

We evaluated the clinical characteristics of insulin resistance and β-cell dysfunction in newly diagnosed, drug-naive people with type 2 diabetes by analyzing nationwide cross-sectional data.

Methods

We collected the clinical data of 912 participants with newly diagnosed diabetes from 83 primary care clinics and hospitals nationwide from 2015 to 2016. The presence of insulin resistance and β-cell dysfunction was defined as a homeostatic model assessment of insulin resistance (HOMA-IR) value ≥2.5 and fasting C-peptide levels <1.70 ng/mL, respectively.

Results

A total of 75.1% and 22.6% of participants had insulin resistance and β-cell dysfunction, respectively. The proportion of participants with insulin resistance but no β-cell dysfunction increased, and the proportion of participants with β-cell dysfunction but no insulin resistance decreased as body mass index (BMI) increased. People diagnosed with diabetes before 40 years of age had significantly higher HOMA-IR and BMI than those diagnosed over 65 years of age (HOMA-IR, 5.0 vs. 3.0; BMI, 28.7 kg/m2 vs. 25.1 kg/m2). However, the β-cell function indices were lower in people diagnosed before 40 years of age than in those diagnosed after 65 years of age (homeostatic model assessment of β-cell function, 39.3 vs. 64.9; insulinogenic index, 10.3 vs. 18.7; disposition index, 0.15 vs. 0.25).

Conclusion

We observed that the main pathogenic mechanism of type 2 diabetes is insulin resistance in participants with newly diagnosed type 2 diabetes. In addition, young adults with diabetes are more likely to have higher insulin resistance with obesity and have higher insulin secretory defect with severe hyperglycemia in the early period of diabetes than older populations.

Citations

Citations to this article as recorded by  
  • Comparison of β-Cell Function and Insulin Sensitivity Between Normal-Weight and Obese Chinese With Young-Onset Type 2 Diabetes
    Yingnan Fan, Elaine Chow, Cadmon K.P. Lim, Yong Hou, Sandra T.F. Tsoi, Baoqi Fan, Eric S.H. Lau, Alice P.S. Kong, Ronald C.W. Ma, Hongjiang Wu, Juliana C.N. Chan, Andrea O.Y. Luk
    Diabetes.2024; 73(6): 953.     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
  • Apparent Insulin Deficiency in an Adult African Population With New-Onset Type 2 Diabetes
    Davis Kibirige, Isaac Sekitoleko, Priscilla Balungi, William Lumu, Moffat J. Nyirenda
    Frontiers in Clinical Diabetes and Healthcare.2022;[Epub]     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
  • A Real-World Study of Long-Term Safety and Efficacy of Lobeglitazone in Korean Patients with Type 2 Diabetes Mellitus
    Bo-Yeon Kim, Hyuk-Sang Kwon, Suk Kyeong Kim, Jung-Hyun Noh, Cheol-Young Park, Hyeong-Kyu Park, Kee-Ho Song, Jong Chul Won, Jae Myung Yu, Mi Young Lee, Jae Hyuk Lee, Soo Lim, Sung Wan Chun, In-Kyung Jeong, Choon Hee Chung, Seung Jin Han, Hee-Seok Kim, Ju-Y
    Diabetes & Metabolism Journal.2022; 46(6): 855.     CrossRef
  • The Potential Effect of Rhizoma coptidis on Polycystic Ovary Syndrome Based on Network Pharmacology and Molecular Docking
    Liyun Duan, De Jin, Xuedong An, Yuehong Zhang, Shenghui Zhao, Rongrong Zhou, Yingying Duan, Yuqing Zhang, Xinmin Liu, Fengmei Lian, Wen yi Kang
    Evidence-Based Complementary and Alternative Medicine.2021; 2021: 1.     CrossRef
  • PRKAA2variation and the clinical characteristics of patients newly diagnosed with type 2 diabetes mellitus in Yogyakarta, Indonesia
    Dita Maria Virginia, Mae Sri Hartati Wahyuningsih, Dwi Aris Agung Nugrahaningsih
    Asian Biomedicine.2021; 15(4): 161.     CrossRef
  • Efficacy and Safety of Pioglitazone versus Glimepiride after Metformin and Alogliptin Combination Therapy: A Randomized, Open-Label, Multicenter, Parallel-Controlled Study
    Jeong Mi Kim, Sang Soo Kim, Jong Ho Kim, Mi Kyung Kim, Tae Nyun Kim, Soon Hee Lee, Chang Won Lee, Ja Young Park, Eun Sook Kim, Kwang Jae Lee, Young Sik Choi, Duk Kyu Kim, In Joo Kim
    Diabetes & Metabolism Journal.2020; 44(1): 67.     CrossRef
  • Favorable Glycemic Control with Once-Daily Insulin Degludec/Insulin Aspart after Changing from Basal Insulin in Adults with Type 2 Diabetes
    Han Na Jang, Ye Seul Yang, Seong Ok Lee, Tae Jung Oh, Bo Kyung Koo, Hye Seung Jung
    Endocrinology and Metabolism.2019; 34(4): 382.     CrossRef
  • Insulin Resistance versus β-Cell Failure: Is It Changing in Koreans?
    Mi-kyung Kim
    Diabetes & Metabolism Journal.2018; 42(2): 128.     CrossRef
  • Response: Clinical Characteristics of People with Newly Diagnosed Type 2 Diabetes between 2015 and 2016: Difference by Age and Body Mass Index (Diabetes Metab J2018;42:137-46)
    Kyoung Hwa Ha, Dae Jung Kim, Sungrae Kim
    Diabetes & Metabolism Journal.2018; 42(3): 251.     CrossRef
  • Letter: Clinical Characteristics of People with Newly Diagnosed Type 2 Diabetes between 2015 and 2016: Difference by Age and Body Mass Index (Diabetes Metab J 2018;42:137-46)
    Ah Reum Khang
    Diabetes & Metabolism Journal.2018; 42(3): 249.     CrossRef
Obesity and Metabolic Syndrome
Association between Blood Mercury Level and Visceral Adiposity in Adults
Jong Suk Park, Kyoung Hwa Ha, Ka He, Dae Jung Kim
Diabetes Metab J. 2017;41(2):113-120.   Published online December 21, 2016
DOI: https://doi.org/10.4093/dmj.2017.41.2.113
  • 5,138 View
  • 47 Download
  • 38 Web of Science
  • 39 Crossref
AbstractAbstract PDFPubReader   
Background

Few studies have examined the association between mercury exposure and obesity. The aim of this study is to investigate the association between blood mercury concentrations and indices of obesity in adults.

Methods

A total of 200 healthy subjects, aged 30 to 64 years, who had no history of cardiovascular or malignant disease, were examined. Anthropometric and various biochemical profiles were measured. Visceral adipose tissue (VAT) was measured using dual-energy X-ray absorptiometry (DXA).

Results

All subjects were divided into three groups according to blood mercury concentrations. Compared with the subjects in the lowest tertile of mercury, those in the highest tertile were more likely to be male; were current alcohol drinkers and smokers; had a higher body mass index (BMI), waist circumference (WC), and VAT; had higher levels of blood pressure, fasting glucose, and insulin resistance; and consumed more fish. The blood mercury concentration was significantly associated with anthropometric parameters, showing relationships with BMI, WC, and VAT. After adjusting for multiple risk factors, the odds ratios (ORs) for high mercury concentration was significantly higher in the highest VAT tertile than in the lowest VAT tertile (OR, 2.66; 95% confidence interval, 1.05 to 6.62; P<0.05).

Conclusion

The blood mercury concentration was significantly associated with VAT in healthy adults. Further studies are warranted to confirm our findings.

Citations

Citations to this article as recorded by  
  • Exposure to Metal Mixtures and Overweight or Obesity Among Chinese Adults
    Gaojie Fan, Qing Liu, Mingyang Wu, Jianing Bi, Xiya Qin, Qing Fang, Zhengce Wan, Yongman Lv, Youjie Wang, Lulu Song
    Biological Trace Element Research.2023; 201(8): 3697.     CrossRef
  • Methylmercury drives lipid droplet formation and adipokine expression during the late stages of adipocyte differentiation in 3T3-L1 cells
    Yasukazu Takanezawa, Yui Kashiwano, Ryosuke Nakamura, Yuka Ohshiro, Shimpei Uraguchi, Masako Kiyono
    Toxicology.2023; 486: 153446.     CrossRef
  • Expression Profiling of Adipogenic and Anti-Adipogenic MicroRNA Sequences following Methylmercury Exposure in Caenorhabditis elegans
    Giancarlo Garofalo, Tyson Nielsen, Samuel Caito
    Toxics.2023; 11(11): 934.     CrossRef
  • Report of the Scientific Committee of the Spanish Agency for Food Safety and Nutrition (AESAN) on the available evidence in relation to the potential obesogenic activity of certain chemical compounds that may be present in foods
    Ana María Rivas Velasco, Irene Bretón Lesmes, Araceli Díaz Perales, Ángel Gil Izquierdo, María José González Muñoz, Victoria Moreno Arribas, María del Puy Portillo Baquedano, Silvia Pichardo Sánchez
    Food Risk Assess Europe.2023;[Epub]     CrossRef
  • Lead, mercury, and cadmium exposures are associated with obesity but not with diabetes mellitus: Korean National Environmental Health Survey (KoNEHS) 2015–2017
    Min Kyong Moon, Inae Lee, Aram Lee, Hyunwoong Park, Min Joo Kim, Sunmi Kim, Yoon Hee Cho, Sooyeon Hong, Jiyoung Yoo, Gi Jeong Cheon, Kyungho Choi, Young Joo Park, Jeongim Park
    Environmental Research.2022; 204: 111888.     CrossRef
  • The Effect of Mixture of Heavy Metals on Obesity in Individuals ≥50 Years of Age
    Hai Nguyen Duc, Hojin Oh, Min-Sun Kim
    Biological Trace Element Research.2022; 200(8): 3554.     CrossRef
  • MicroRNA Expression Influences Methylmercury-Induced Lipid Accumulation and Mitochondrial Toxicity in Caenorhabditis elegans
    Tyson Nielsen, Nicole Crawford, Megan Martell, Belal Khalil, Farooq Imtiaz, Jennifer L. Newell-Caito, Samuel Caito
    Chemical Research in Toxicology.2022; 35(1): 77.     CrossRef
  • Relationship Between Serum Levels of Arsenic, Cadmium, and Mercury and Body Mass Index and Fasting Plasma Glucose in a Mexican Adult Population
    Héctor Hernández-Mendoza, Héctor Edmundo Álvarez-Loredo, Elizabeth Teresita Romero-Guzmán, Darío Gaytán-Hernández, Consuelo Chang-Rueda, Israel Martínez-Navarro, Bertha Irene Juárez-Flores, María Judith Rios-Lugo
    Biological Trace Element Research.2022; 200(12): 4916.     CrossRef
  • Heavy metal-induced lipogenic gene aberration, lipid dysregulation and obesogenic effect: a review
    Yang Zhou, Frank Peprah Addai, Xinshuang Zhang, Yuelin Liu, Yinfeng Wang, Feng Lin, Alex Tuffour, Jie Gu, Guangxiang Liu, Haifeng Shi
    Environmental Chemistry Letters.2022; 20(3): 1611.     CrossRef
  • Differential fat accumulation in early adulthood according to adolescent‐BMI and heavy metal exposure
    Larissa Betanzos‐Robledo, Martha M. Téllez‐Rojo, Hector Lamadrid‐Figueroa, Ernesto Roldan‐Valadez, Karen E. Peterson, Erica C. Jansen, Nil Basu, Alejandra Cantoral
    New Directions for Child and Adolescent Development.2022; 2022(181-182): 37.     CrossRef
  • The Association of Mercury and ALT with Obesity in Korean Adults: Using Data from the Korea National Health and Nutrition Examination Survey for 11 Years (KNHANES 2005, 2008~2017)
    Sang Shin Pyo
    Korean Journal of Clinical Laboratory Science.2022; 54(3): 192.     CrossRef
  • Plasma titanium level is positively associated with metabolic syndrome: A survey in China’s heavy metal polluted regions
    Miao Huang, Jingyuan Chen, Guangyu Yan, Yiping Yang, Dan Luo, Xiang Chen, Meian He, Hong Yuan, Zhijun Huang, Yao Lu
    Ecotoxicology and Environmental Safety.2021; 208: 111435.     CrossRef
  • Relationship Between Elevated Hair Mercury Levels, Essential Element Status, and Metabolic Profile in Overweight and Obese Adults
    Anatoly V. Skalny, Jung-Su Chang, Igor P. Bobrovnitsky, Philippe Yu Kopylov, Margarita G. Skalnaya, Shih-Yi Huang, Monica Maria Bastos Paoliello, Ekaterina S. Ivanova, Weu Wang, Alexey A. Tinkov
    Biological Trace Element Research.2021; 199(8): 2874.     CrossRef
  • Associations between metabolic syndrome and four heavy metals: A systematic review and meta-analysis
    Ping Xu, Aiping Liu, Fengna Li, Alexey A. Tinkov, Longjian Liu, Ji-Chang Zhou
    Environmental Pollution.2021; 273: 116480.     CrossRef
  • Cadmium, lead and mercury in the blood of psoriatic and vitiligo patients and their possible associations with dietary habits
    Marta Wacewicz-Muczyńska, Katarzyna Socha, Jolanta Soroczyńska, Marek Niczyporuk, Maria H. Borawska
    Science of The Total Environment.2021; 757: 143967.     CrossRef
  • Crude oil and public health issues in Niger Delta, Nigeria: Much ado about the inevitable
    Orish Ebere Orisakwe
    Environmental Research.2021; 194: 110725.     CrossRef
  • Mercury in the human adrenal medulla could contribute to increased plasma noradrenaline in aging
    Roger Pamphlett, Stephen Kum Jew, Philip A. Doble, David P. Bishop
    Scientific Reports.2021;[Epub]     CrossRef
  • Multiple metal exposure and obesity: A prospective cohort study of adults living along the Yangtze River, China
    Qi Zhong, Qi-rong Qin, Wan-jun Yang, Jia-liu He, Jin-liang Zhu, Zhen-yu Zhu, Fen Huang
    Environmental Pollution.2021; 285: 117150.     CrossRef
  • Association between Blood Mercury Levels and Non-Alcoholic Fatty Liver Disease in Non-Obese Populations: The Korean National Environmental Health Survey (KoNEHS) 2012–2014
    Yun-Jung Yang, Eun-Jung Yang, Kyongjin Park, Subin Oh, Taehyen Kim, Yeon-Pyo Hong
    International Journal of Environmental Research and Public Health.2021; 18(12): 6412.     CrossRef
  • Hair Lead, Aluminum, and Other Toxic Metals in Normal-Weight and Obese Patients with Coronary Heart Disease
    Anatoly V. Skalny, Philippe Yu Kopylov, Monica M. B. Paoliello, Jung-Su Chang, Michael Aschner, Igor P. Bobrovnitsky, Jane C.-J. Chao, Jan Aaseth, Sergei N. Chebotarev, Alexey A. Tinkov
    International Journal of Environmental Research and Public Health.2021; 18(15): 8195.     CrossRef
  • Methylmercury chronic exposure affects the expression of DNA single-strand break repair genes, induces oxidative stress, and chromosomal abnormalities in young dyslipidemic APOE knockout mice
    Cássia R. Roque, Letícia R. Sampaio, Mayumi N. Ito, Daniel V. Pinto, Juan S.R. Caminha, Paulo I.G. Nunes, Ramon S. Raposo, Flávia A. Santos, Cláudia C. Windmöller, Maria Elena Crespo-Lopez, Jacqueline I. Alvarez-Leite, Reinaldo B. Oriá, Ronald F. Pinheiro
    Toxicology.2021; 464: 152992.     CrossRef
  • Methylmercury-Induced Metabolic Alterations in Caenorhabditis elegans Are Diet-Dependent
    Nicole Crawford, Megan Martell, Tyson Nielsen, Belal Khalil, Farooq Imtiaz, Etienne Nguidjo, Jennifer Newell-Caito, Julia Bornhorst, Tanja Schwerdtle, Samuel Caito
    Toxics.2021; 9(11): 287.     CrossRef
  • Antioxidant status in relation to heavy metals induced oxidative stress in patients with polycystic ovarian syndrome (PCOS)
    Manal Abudawood, Hajera Tabassum, Atheer H. Alanazi, Fatmah Almusallam, Feda Aljaser, Mir Naiman Ali, Naif D. Alenzi, Samyah T. Alanazi, Manal A. Alghamdi, Ghadah H. Altoum, Manar A. Alzeer, Majed O. Alotaibi, Arwa Abudawood, Hazem K. Ghneim, Lulu Abdulla
    Scientific Reports.2021;[Epub]     CrossRef
  • Association of Blood Mercury Levels with the Risks of Overweight and High Waist-to-Height Ratio in Children and Adolescents: Data from the Korean National Health and Nutrition Examination Survey
    Ky Young Cho
    Children.2021; 8(12): 1087.     CrossRef
  • The sex-specific effects of blood lead, mercury, and cadmium levels on hepatic steatosis and fibrosis: Korean nationwide cross-sectional study
    Seung Min Chung, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
    Journal of Trace Elements in Medicine and Biology.2020; 62: 126601.     CrossRef
  • Elevated blood mercury level has a non-linear association with infertility in U.S. women: Data from the NHANES 2013–2016
    Fangfang Zhu, Chi Chen, Yingxuan Zhang, Si Chen, Xian Huang, Jingwei Li, Yanxi Wang, Xiaorong Liu, Gaopi Deng, Jie Gao
    Reproductive Toxicology.2020; 91: 53.     CrossRef
  • Methylmercury Induces Metabolic Alterations in Caenorhabditis elegans: Role for C/EBP Transcription Factor
    Samuel W Caito, Jennifer Newell-Caito, Megan Martell, Nicole Crawford, Michael Aschner
    Toxicological Sciences.2020; 174(1): 112.     CrossRef
  • Association of Fish Consumption and Mercury Exposure During Pregnancy With Metabolic Health and Inflammatory Biomarkers in Children
    Nikos Stratakis, David V. Conti, Eva Borras, Eduardo Sabido, Theano Roumeliotaki, Eleni Papadopoulou, Lydiane Agier, Xavier Basagana, Mariona Bustamante, Maribel Casas, Shohreh F. Farzan, Serena Fossati, Juan R. Gonzalez, Regina Grazuleviciene, Barbara He
    JAMA Network Open.2020; 3(3): e201007.     CrossRef
  • Elemental Analysis of Aging Human Pituitary Glands Implicates Mercury as a Contributor to the Somatopause
    Roger Pamphlett, Stephen Kum Jew, Philip A. Doble, David P. Bishop
    Frontiers in Endocrinology.2019;[Epub]     CrossRef
  • Mercury leads to features of polycystic ovary syndrome in rats
    Eduardo Merlo, Ingridy R.G. Schereider, Maylla R. Simões, Dalton V. Vassallo, Jones B. Graceli
    Toxicology Letters.2019; 312: 45.     CrossRef
  • In utero exposure to mercury and childhood overweight or obesity: counteracting effect of maternal folate status
    Guoying Wang, Jessica DiBari, Eric Bind, Andrew M. Steffens, Jhindan Mukherjee, Tami R. Bartell, David C. Bellinger, Xiumei Hong, Yuelong Ji, Mei-Cheng Wang, Marsha Wills-Karp, Tina L. Cheng, Xiaobin Wang
    BMC Medicine.2019;[Epub]     CrossRef
  • Mercury Is Taken Up Selectively by Cells Involved in Joint, Bone, and Connective Tissue Disorders
    Roger Pamphlett, Stephen Kum Jew
    Frontiers in Medicine.2019;[Epub]     CrossRef
  • Cohort Profile: The Cardiovascular and Metabolic Diseases Etiology Research Center Cohort in Korea
    Jee-Seon Shim, Bo Mi Song, Jung Hyun Lee, Seung Won Lee, Ji Hye Park, Dong Phil Choi, Myung Ha Lee, Kyoung Hwa Ha, Dae Jung Kim, Sungha Park, Won-Woo Lee, Yoosik Youm, Eui-Cheol Shin, Hyeon Chang Kim
    Yonsei Medical Journal.2019; 60(8): 804.     CrossRef
  • Chronic mercury at low doses impairs white adipose tissue plasticity
    Danize Aparecida Rizzetti, Patricia Corrales, Janaina Trindade Piagette, José Antonio Uranga-Ocio, Gema Medina-Gomez, Franck Maciel Peçanha, Dalton Valentim Vassallo, Marta Miguel, Giulia Alessandra Wiggers
    Toxicology.2019; 418: 41.     CrossRef
  • Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003–2014
    Xin Wang, Bhramar Mukherjee, Sung Kyun Park
    Environment International.2018; 121: 683.     CrossRef
  • Blood mercury concentration in relation to metabolic and weight phenotypes using the KNHANES 2011–2013 data
    Kayoung Lee
    International Archives of Occupational and Environmental Health.2018; 91(2): 185.     CrossRef
  • The association of total blood mercury levels and overweight among Korean adolescents: analysis of the Korean National Health and Nutrition Examination Survey (KNHANES) 2010–2013
    Yi-Yeon Shin, In-Kyung Ryu, Mi-Jung Park, Shin-Hye Kim
    Korean Journal of Pediatrics.2018; 61(4): 121.     CrossRef
  • Heavy Metal Exposure and Metabolic Syndrome: Evidence from Human and Model System Studies
    Antonio Planchart, Adrian Green, Cathrine Hoyo, Carolyn J. Mattingly
    Current Environmental Health Reports.2018; 5(1): 110.     CrossRef
  • Association between Blood Mercury Level and Visceral Adiposity in Adults
    Seong-Su Moon
    Diabetes & Metabolism Journal.2017; 41(2): 96.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer