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Metabolic Risk/Epidemiology
Sex Differences of Visceral Fat Area and Visceral-to-Subcutaneous Fat Ratio for the Risk of Incident Type 2 Diabetes Mellitus
Eun Hee Kim, Hong-Kyu Kim, Min Jung Lee, Sung-Jin Bae, Jaewon Choe, Chang Hee Jung, Chul-Hee Kim, Joong-Yeol Park, Woo Je Lee
Diabetes Metab J. 2022;46(3):486-498.   Published online November 18, 2021
DOI: https://doi.org/10.4093/dmj.2021.0095
  • 9,318 View
  • 367 Download
  • 19 Web of Science
  • 22 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study aimed to determine the optimal cut-off values of visceral fat area (VFA) and visceral-to-subcutaneous fat ratio (VSR) for predicting incident type 2 diabetes mellitus (T2DM).
Methods
A total of 10,882 individuals (6,835 men; 4,047 women) free of T2DM at baseline aged between 30 and 79 years who underwent abdominal computed tomography scan between 2012 and 2013 as a part of routine health check-ups were included and followed. VFA, subcutaneous fat area, and VSR on L3 vertebral level were measured at baseline.
Results
During a median follow-up of 4.8 years, 730 (8.1% for men; 4.3% for women) incident cases of T2DM were identified. Receiver operating characteristic curve analysis showed that the optimal cut-off values of VFA and VSR for predicting incident T2DM were 130.03 cm2 and 1.08 in men, respectively, and 85.7 cm2 and 0.48 in women, respectively. Regardless of sex, higher VFA and VSR were significantly associated with a higher risk of incident T2DM. Compared with the lowest quartiles of VFA and VSR, the highest quartiles had adjusted odds ratios of 2.62 (95% confidence interval [CI], 1.73 to 3.97) and 1.55 (95% CI, 1.14 to 2.11) in men, respectively, and 32.49 (95% CI, 7.42 to 142.02) and 11.07 (95% CI, 3.89 to 31.50) in women, respectively.
Conclusion
Higher VFA and VSR at baseline were independent risk factors for the development of T2DM. Sex-specific reference values for visceral fat obesity (VFA ≥130 cm2 or VSR ≥1.0 in men; VFA ≥85 cm2 or VSR ≥0.5 in women) are proposed for the prediction of incident T2DM.

Citations

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  • Severity of adipose tissue dysfunction is associated with progression of pre-diabetes to type 2 diabetes: the Tehran Lipid and Glucose Study
    Mohammad Jalali, Zahra Bahadoran, Parvin Mirmiran, Fereidoun Azizi, Farhad Hosseinpanah
    BMC Public Health.2024;[Epub]     CrossRef
  • Should insulin resistance (HOMA-IR), insulin secretion (HOMA-β), and visceral fat area be considered for improving the performance of diabetes risk prediction models
    Huan Hu, Tohru Nakagawa, Toru Honda, Shuichiro Yamamoto, Tetsuya Mizoue
    BMJ Open Diabetes Research & Care.2024; 12(1): e003680.     CrossRef
  • Adipose organ dysfunction and type 2 diabetes: Role of nitric oxide
    Zahra Bahadoran, Parvin Mirmiran, Asghar Ghasemi
    Biochemical Pharmacology.2024; 221: 116043.     CrossRef
  • Prediction of high visceral adipose tissue for sex‐specific community residents in Taiwan
    Yu‐Hsuan Chang, Chin‐Sung Chang, Chieh‐Yu Liu, Yin‐Fan Chang, Shiow‐Ching Shun
    Nursing & Health Sciences.2024;[Epub]     CrossRef
  • Guidelines for obesity clinic consultations in primary healthcare clinics
    Jee-Hyun Kang, Kyoung-Kon Kim
    Journal of the Korean Medical Association.2024; 67(4): 240.     CrossRef
  • Correlation between fat-to-muscle mass ratio and cognitive impairment in elderly patients with type 2 diabetes mellitus: a cross-sectional study
    Fan Wu, Yanlan Liu, Chenying Lin, Nahal Haghbin, Longfei Xia, Yaoshuang Li, Tong Chen, Huina Qiu, Weiran Jiang, Jingbo Li, Jingna Lin
    BMC Geriatrics.2024;[Epub]     CrossRef
  • Body Composition and Metabolic Dysfunction Really Matter for the Achievement of Better Outcomes in High-Grade Serous Ovarian Cancer
    Mauricio A. Cuello, Fernán Gómez, Ignacio Wichmann, Felipe Suárez, Sumie Kato, Elisa Orlandini, Jorge Brañes, Carolina Ibañez
    Cancers.2023; 15(4): 1156.     CrossRef
  • MEDICINAL BIOMAGNETISM FOR THE TREATMENT OF OBESITY
    Ana Vergínia Campagnollo Bueno, Michelli Gonçalves Seneda, Ângela Mara Rambo, Ana Clara Campagnolo Gonçalves Toledo, Caroline Cabral de Azevedo, Adriane Viapiana Bossa
    Health and Society.2023; 3(01): 411.     CrossRef
  • Cumulative exposure to metabolic syndrome in a national population-based cohort of young adults and sex-specific risk for type 2 diabetes
    Min-Kyung Lee, Jae-Hyuk Lee, Seo Young Sohn, Jiyeon Ahn, Oak-Kee Hong, Mee-Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Kyungdo Han, Hyuk-Sang Kwon
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • The correlation between visceral fat/subcutaneous fat area ratio and monocyte/high-density lipoprotein ratio in patients with type 2 diabetes mellitus and albuminuria
    Haiyan Lin, Jun Zhu, Chen Zheng, Xiaoming Xu, Shandong Ye
    Journal of Diabetes and its Complications.2023; 37(11): 108521.     CrossRef
  • Effects of the abdominal fat distribution on the relationship between exposure to air pollutants and thyroid hormones among Korean adult males
    Hyun-Jin Kim, Byungmi Kim, Seyoung Kim, Hyuktae Kwon, Jae Moon Yun, Belong Cho, Jin-Ho Park
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • Association of Visceral Fat Obesity, Sarcopenia, and Myosteatosis with Non-Alcoholic Fatty Liver Disease without Obesity
    Hong-Kyu Kim, Sung-Jin Bae, Min Jung Lee, Eun Hee Kim, Hana Park, Hwi Seung Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee, Jaewon Choe
    Clinical and Molecular Hepatology.2023; 29(4): 987.     CrossRef
  • Visceral adipose tissue reference data computed for GE HealthCare DXA from the National Health and Nutrition Examination Survey data set
    Jonathan P. Bennett, Brandon K. Quon, Bo Fan, En Liu, Leila Kazemi, Rosa C. Villegas‐Valle, Raj Ahgun, Xian‐pin Wu, Hou‐De Zhou, Ying Lu, John A. Shepherd
    Obesity.2023; 31(12): 2947.     CrossRef
  • Comparison of bioelectrical body and visceral fat indices and anthropometric measures in relation to type 2 diabetes by sex among Chinese adults, a cross-sectional study
    Jiangshan He, Binbin Zhang, Yaqi Fan, Yuxue Wang, Mianzhi Zhang, Chunjun Li, Li Zhang, Pei Guo, Minying Zhang
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • The predictive significance of lipid accumulation products for future diabetes in a non-diabetic population from a gender perspective: an analysis using time-dependent receiver operating characteristics
    Jiajun Qiu, Maobin Kuang, Yang Zou, Ruijuan Yang, Qing Shangguan, Dingyang Liu, Guotai Sheng, Wei Wang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Cellular interplay between cardiomyocytes and non-myocytes in diabetic cardiomyopathy
    Ren Jie Phang, Rebecca H. Ritchie, Derek J. Hausenloy, Jarmon G. Lees, Shiang Y. Lim
    Cardiovascular Research.2022;[Epub]     CrossRef
  • Implication of Sex Differences in Visceral Fat for the Assessment of Incidence Risk of Type 2 Diabetes Mellitus
    Sang Hyeon Ju, Hyon-Seung Yi
    Diabetes & Metabolism Journal.2022; 46(3): 414.     CrossRef
  • Visceral fat area and body fat percentage measured by bioelectrical impedance analysis correlate with glycometabolism
    Shuying Li, Shaoping Li, Jie Ding, Weihong Zhou
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • The Demographic Specific Abdominal Fat Composition and Distribution Trends in US Adults from 2011 to 2018
    Furong Xu, Jacob E. Earp, Bryan J. Blissmer, Ingrid E. Lofgren, Matthew J. Delmonico, Geoffrey W. Greene
    International Journal of Environmental Research and Public Health.2022; 19(19): 12103.     CrossRef
  • Visceral Obesity Is a More Important Factor for Colorectal Adenomas than Skeletal Muscle or Body Fat
    Ji Yeon Seo, Yoo Min Han, Su Jin Chung, Seon Hee Lim, Jung Ho Bae, Goh Eun Chung
    Cancers.2022; 14(21): 5256.     CrossRef
  • Recent Advances in Visceral Obesity and Related Diseases
    佳佳 魏
    Advances in Clinical Medicine.2022; 12(12): 11686.     CrossRef
  • Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China
    Pingping Yu, Huachao Yang, Xiaoya Qi, Ruixue Bai, Shouqin Zhang, Jianping Gong, Ying Mei, Peng Hu
    Lipids in Health and Disease.2022;[Epub]     CrossRef
Epidemiology
Longitudinal Changes of Body Composition Phenotypes and Their Association with Incident Type 2 Diabetes Mellitus during a 5-Year Follow-up in Koreans
Hong-Kyu Kim, Min Jung Lee, Eun-Hee Kim, Sung-Jin Bae, Jaewon Choe, Chul-Hee Kim, Joong-Yeol Park
Diabetes Metab J. 2019;43(5):627-639.   Published online April 19, 2019
DOI: https://doi.org/10.4093/dmj.2018.0141
  • 5,107 View
  • 65 Download
  • 19 Web of Science
  • 19 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

To elucidate longitudinal changes of complex body composition phenotypes and their association with incident type 2 diabetes mellitus.

Methods

A total of 17,280 (mean age, 48.1±8.2 years) Korean adults who underwent medical check-ups were included. The mean follow-up duration was 5.5±0.5 years. Body compositions were assessed using a bioelectrical impedance analysis. Four body composition phenotypes were defined using the median of appendicular skeletal muscle mass (ASM) index and fat mass index: low muscle/low fat (LM/LF); high muscle (HM)/LF; LM/high fat (HF); and HM/HF groups.

Results

Of the individuals in the LM/LF or HM/HF groups, over 60% remained in the same group, and over 30% were moved to the LM/HF group. Most of the LM/HF group remained in this group. In the baseline HM/LF group, approximately 30% stayed in the group, and the remaining individuals transitioned to the three other groups in similar proportions. Incident diabetes was significantly lower in participants who remained in the HM/LF group than those who transitioned to the LM/LF or LM/HF group from the baseline HM/LF group in men. ASM index was significantly associated with a decreased risk for incident diabetes in men regardless of obesity status (adjusted odds ratio [OR], 0.71 per kg/m2; 95% confidence interval [CI], 0.52 to 0.97 in non-obese) (adjusted OR, 0.87; 95% CI, 0.77 to 0.98 in obese) after adjusting for other strong risk factors (e.g., baseline glycosylated hemoglobin and homeostasis model assessment of insulin resistance).

Conclusion

Maintenance of ASM may be protective against the development of type 2 diabetes mellitus in men, regardless of obesity status.

Citations

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  • Metabolically healthy obese individuals are still at high risk for diabetes: Application of the marginal structural model
    Hye Ah Lee, Hyesook Park
    Diabetes, Obesity and Metabolism.2024; 26(2): 431.     CrossRef
  • Association of serum gamma-glutamyl transferase with myosteatosis assessed by muscle quality mapping using abdominal computed tomography
    Han Na Jung, Yun Kyung Cho, Hwi Seung Kim, Eun Hee Kim, Min Jung Lee, Joong-Yeol Park, Woo Je Lee, Hong-Kyu Kim, Chang Hee Jung
    Clinical Imaging.2023; 93: 4.     CrossRef
  • More appendicular lean mass relative to body mass index is associated with lower incident diabetes in middle-aged adults in the CARDIA study
    Melanie S. Haines, Aaron Leong, Bianca C. Porneala, Victor W. Zhong, Cora E. Lewis, Pamela J. Schreiner, Karen K. Miller, James B. Meigs, Mercedes R. Carnethon
    Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(1): 105.     CrossRef
  • Association between hypertension and myosteatosis evaluated by abdominal computed tomography
    Han Na Jung, Yun Kyung Cho, Hwi Seung Kim, Eun Hee Kim, Min Jung Lee, Woo Je Lee, Hong-Kyu Kim, Chang Hee Jung
    Hypertension Research.2023; 46(4): 845.     CrossRef
  • Longitudinal association between adiposity changes and lung function deterioration
    Youngmok Park, Jiyoung Kim, Young Sam Kim, Ah Young Leem, Jinyeon Jo, Kyungsoo Chung, Moo Suk Park, Sungho Won, Ji Ye Jung
    Respiratory Research.2023;[Epub]     CrossRef
  • Relevance of body composition in phenotyping the obesities
    Laura Salmón-Gómez, Victoria Catalán, Gema Frühbeck, Javier Gómez-Ambrosi
    Reviews in Endocrine and Metabolic Disorders.2023; 24(5): 809.     CrossRef
  • Association of Visceral Fat Obesity, Sarcopenia, and Myosteatosis with Non-Alcoholic Fatty Liver Disease without Obesity
    Hong-Kyu Kim, Sung-Jin Bae, Min Jung Lee, Eun Hee Kim, Hana Park, Hwi Seung Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee, Jaewon Choe
    Clinical and Molecular Hepatology.2023; 29(4): 987.     CrossRef
  • Association between type 2 diabetes and skeletal muscle quality assessed by abdominal computed tomography scan
    Eun Hee Kim, Hong‐Kyu Kim, Min Jung Lee, Sung‐Jin Bae, Kyung Won Kim, Jaewon Choe
    Diabetes/Metabolism Research and Reviews.2022;[Epub]     CrossRef
  • Association between fat mass index, fat‐free mass index and hemoglobin A1c in a Japanese population: The Tohoku Medical Megabank Community‐based Cohort Study
    Masato Takase, Tomohiro Nakamura, Takumi Hirata, Naho Tsuchiya, Mana Kogure, Fumi Itabashi, Naoki Nakaya, Yohei Hamanaka, Junichi Sugawara, Kichiya Suzuki, Nobuo Fuse, Akira Uruno, Eiichi N Kodama, Shinichi Kuriyama, Ichiro Tsuji, Shigeo Kure, Atsushi Hoz
    Journal of Diabetes Investigation.2022; 13(5): 858.     CrossRef
  • Relationship between low skeletal muscle mass, sarcopenic obesity and left ventricular diastolic dysfunction in Korean adults
    Jee Hee Yoo, Sung Woon Park, Ji Eun Jun, Sang‐Man Jin, Kyu Yeon Hur, Moon‐Kyu Lee, Mira Kang, Gyuri Kim, Jae Hyeon Kim
    Diabetes/Metabolism Research and Reviews.2021;[Epub]     CrossRef
  • Reference Data and T-Scores of Lumbar Skeletal Muscle Area and Its Skeletal Muscle Indices Measured by CT Scan in a Healthy Korean Population
    Eun Hee Kim, Kyung Won Kim, Yongbin Shin, Jiwoo Lee, Yousun Ko, Ye-Jee Kim, Min Jung Lee, Sung-Jin Bae, Sung Won Park, Jaewon Choe, Hong-Kyu Kim, Anne Newman
    The Journals of Gerontology: Series A.2021; 76(2): 265.     CrossRef
  • Age- and Sex-Related Differential Associations between Body Composition and Diabetes Mellitus
    Eun Roh, Soon Young Hwang, Jung A Kim, You-Bin Lee, So-hyeon Hong, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
    Diabetes & Metabolism Journal.2021; 45(2): 183.     CrossRef
  • Cardiometabolic Profile of Different Body Composition Phenotypes in Children
    Yi Ying Ong, Jonathan Y Huang, Navin Michael, Suresh Anand Sadananthan, Wen Lun Yuan, Ling-Wei Chen, Neerja Karnani, S Sendhil Velan, Marielle V Fortier, Kok Hian Tan, Peter D Gluckman, Fabian Yap, Yap-Seng Chong, Keith M Godfrey, Mary F-F Chong, Shiao-Yn
    The Journal of Clinical Endocrinology & Metabolism.2021; 106(5): e2015.     CrossRef
  • Age-related changes in muscle quality and development of diagnostic cutoff points for myosteatosis in lumbar skeletal muscles measured by CT scan
    Hong-Kyu Kim, Kyung Won Kim, Eun Hee Kim, Min Jung Lee, Sung-Jin Bae, Yousun Ko, Taeyoung Park, Yongbin Shin, Ye-Jee Kim, Jaewon Choe
    Clinical Nutrition.2021; 40(6): 4022.     CrossRef
  • Comparison of muscle mass and quality between metabolically healthy and unhealthy phenotypes
    Hong‐Kyu Kim, Min Jung Lee, Eun Hee Kim, Sung‐Jin Bae, Kyung Won Kim, Chul‐Hee Kim
    Obesity.2021; 29(8): 1375.     CrossRef
  • Association between muscle mass and insulin sensitivity independent of detrimental adipose depots in young adults with overweight/obesity
    Melanie S. Haines, Laura E. Dichtel, Kate Santoso, Martin Torriani, Karen K. Miller, Miriam A. Bredella
    International Journal of Obesity.2020; 44(9): 1851.     CrossRef
  • Impact of Social Jetlag on Weight Change in Adults: Korean National Health and Nutrition Examination Survey 2016–2017
    Jin Hwa Kim, Young Sang Lyu, Sang Yong Kim
    International Journal of Environmental Research and Public Health.2020; 17(12): 4383.     CrossRef
  • The relationships between sarcopenic skeletal muscle loss during ageing and macronutrient metabolism, obesity and onset of diabetes
    Ailsa A. Welch, Richard P. G. Hayhoe, Donnie Cameron
    Proceedings of the Nutrition Society.2020; 79(1): 158.     CrossRef
  • Impact of the Dynamic Change of Metabolic Health Status on the Incident Type 2 Diabetes: A Nationwide Population-Based Cohort Study
    Jung A Kim, Da Hye Kim, Seon Mee Kim, Yong Gyu Park, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi, Kyungdo Han, Hye Jin Yoo
    Endocrinology and Metabolism.2019; 34(4): 406.     CrossRef
Response
Response: Impact of HbA1c Criterion on the Detection of Subjects with Increased Risk for Diabetes among Health Check-Up Recipients in Korea (Diabetes Metab J 2012;36:151-6)
Hong-Kyu Kim, Sung-Jin Bae, Jaewon Choe
Diabetes Metab J. 2012;36(3):253-253.   Published online June 14, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.3.253
  • 2,468 View
  • 31 Download
PDFPubReader   
Original Article
Impact of HbA1c Criterion on the Detection of Subjects with Increased Risk for Diabetes among Health Check-Up Recipients in Korea
Hong-Kyu Kim, Sung-Jin Bae, Jaeone Choe
Diabetes Metab J. 2012;36(2):151-156.   Published online April 17, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.2.151
  • 3,213 View
  • 28 Download
  • 17 Crossref
AbstractAbstract PDFPubReader   
Background

We performed the study to examine the impact of hemoglobin A1c (HbA1c) criterion on the screening of increased risk for diabetes among health check-up subjects in Korea.

Methods

We retrospectively analyzed clinical and laboratory data of 37,754 Korean adults (age, 20 to 89 years; 41% women) which were measured during regular health check-ups. After excluding subjects with previously diagnosed diabetes mellitus (n=1,812) and with overt anemia (n=318), 35,624 subjects (21,201 men and 14,423 women) were included in the analysis.

Results

Among the 35,624 subjects, 11,316 (31.8%) subjects were categorized as increased risk for diabetes (IRD) by fasting plasma glucose (FPG) criteria, 6,531 (18.1%) subjects by HbA1c criteria, and 13,556 (38.1%) subjects by combined criteria. Therefore, although HbA1c criteria alone identifies 42% [(11,316-6,531)/11,316] fewer subjects with IRD than does FPG criteria, about 20% [(13,556-11,316)/11,316] more subjects could be detected by including new HbA1c criteria in addition to FPG criteria. Among the 13,556 subjects with IRD, 7,025 (51.8%) met FPG criteria only, 2,240 (16.5%) met HbA1c criteria only, and 4,291 (31.7%) met both criteria. Among subjects with impaired fasting glucose, 65% were normal, 32% were IRD, and 3% were diabetes by HbA1c criterion. In receiver operating characteristic curve analysis, cutoff point of HbA1c with optimal sensitivity and specificity for identifying IRD was 5.4%.

Conclusion

Although HbA1c criteria alone identifies fewer subjects with IRD than does FPG criteria, about 20% more could be detected by addition of HbA1c criteria. Further studies are needed to define optimal cutoff point of HbA1c and to establish screening and management guidelines for IRD.

Citations

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  • Measuring the Burden of Disease in Korea Using Disability-Adjusted Life Years (2008–2020)
    Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • The Relationship Between HbA1c and 25-hidroxy Vitamin D Levels in Adult Diabetic Patients
    Mehmet ÖZDİN, Durhasan MUNDAN
    Van Sağlık Bilimleri Dergisi.2023; 16(1): 25.     CrossRef
  • Does reviewing fasting plasma glucose results patterns before glycosylated hemoglobin testing in type-2 diabetic patients lead to better testing decision?
    Wichaporn Intharachuti, Jiruth Sriratanaban
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(3): 2080.     CrossRef
  • Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia
    Bernd Richter, Bianca Hemmingsen, Maria-Inti Metzendorf, Yemisi Takwoingi
    Cochrane Database of Systematic Reviews.2018;[Epub]     CrossRef
  • Evaluation of different ranges of LH:FSH ratios in polycystic ovarian syndrome (PCOS) – Clinical based case control study
    N.A. Malini, K. Roy George
    General and Comparative Endocrinology.2018; 260: 51.     CrossRef
  • The Cutoff Value of HbA1c in Predicting Diabetes and Impaired Fasting Glucose
    Seyoung Kwon, Youngak Na
    The Korean Journal of Clinical Laboratory Science.2017; 49(2): 114.     CrossRef
  • Risk of progression to diabetes from prediabetes defined by HbA1c or fasting plasma glucose criteria in Koreans
    Chul-Hee Kim, Hong-Kyu Kim, Eun-Hee Kim, Sung-Jin Bae, Jaewon Choe, Joong-Yeol Park
    Diabetes Research and Clinical Practice.2016; 118: 105.     CrossRef
  • Comparison of the clinical characteristics of diabetes mellitus diagnosed using fasting plasma glucose and haemoglobin A1c: The 2011 Korea National Health and Nutrition Examination Survey
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Chang Beom Lee, Sung-Hee Ihm
    Diabetes Research and Clinical Practice.2016; 113: 23.     CrossRef
  • Association of prediabetes, defined by fasting glucose, HbA1c only, or combined criteria, with the risk of cardiovascular disease in Koreans
    Hong‐Kyu Kim, Jung Bok Lee, Seon Ha Kim, Min‐Woo Jo, Eun Hee Kim, Jenie Yoonoo Hwang, Sung Jin Bae, Chang Hee Jung, Woo Je Lee, Joong‐Yeol Park, Gyung‐Min Park, Young‐Hak Kim, Jaewon Choe
    Journal of Diabetes.2016; 8(5): 657.     CrossRef
  • Fasting plasma glucose concentrations for specified HbA1c goals in Korean populations: data from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V-2, 2011)
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Chang Beom Lee, Sung-Hee Ihm
    Diabetology & Metabolic Syndrome.2016;[Epub]     CrossRef
  • Impact of hemoglobin A1c‐based criterion on diagnosis of prediabetes: The Korea National Health and Nutrition Examination Survey 2011
    Chul‐Hee Kim, Hong‐Kyu Kim, Bo‐Yeon Kim, Chan‐Hee Jung, Ji‐Oh Mok, Sung‐Koo Kang
    Journal of Diabetes Investigation.2015; 6(1): 51.     CrossRef
  • Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants
    G Danaei, S Fahimi, Y Lu, B Zhou, K Hajifathalian, M Di Cesare, WC Lo, B Reis-Santos, MJ Cowan, JE Shaw, J Bentham, JK Lin, H Bixby, D Magliano, P Bovet, JJ Miranda, YH Khang, GA Stevens, LM Riley, MK Ali, M Ezzati, ZA Abdeen, KA Kadir, M Abu-Rmeileh, B A
    The Lancet Diabetes & Endocrinology.2015; 3(8): 624.     CrossRef
  • Prediabetes is not independently associated with microalbuminuria in Korean general population: The Korea National Health and Nutrition Examination Survey 2011–2012 (KNHANES V-2,3)
    Chul-Hee Kim, Kyu-Jin Kim, Bo-Yeon Kim, Chan-Hee Jung, Ji-Oh Mok, Sung-Koo Kang, Hong-Kyu Kim
    Diabetes Research and Clinical Practice.2014; 106(2): e18.     CrossRef
  • Estimation of blood glucose by non-invasive infrared thermography for diagnosis of type 2 diabetes: An alternative for blood sample extraction
    S. Sivanandam, M. Anburajan, B. Venkatraman, M. Menaka, D. Sharath
    Molecular and Cellular Endocrinology.2013; 367(1-2): 57.     CrossRef
  • Comparison of glycated hemoglobin with fasting plasma glucose in definition of glycemic component of the metabolic syndrome in an Iranian population
    Mohsen Janghorbani, Masoud Amini
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2012; 6(3): 136.     CrossRef
  • Usefulness of Glycated Hemoglobin as Diagnostic Criteria for Metabolic Syndrome
    Sang Hyun Park, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
    Journal of Korean Medical Science.2012; 27(9): 1057.     CrossRef
  • Letter: Impact of HbA1c Criterion on the Detection of Subjects with Increased Risk for Diabetes among Health Check-Up Recipients in Korea (Diabetes Metab J 2012;36:151-6)
    Sung Hee Choi
    Diabetes & Metabolism Journal.2012; 36(3): 251.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal