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Eun Suk Choi  (Choi ES) 5 Articles
The Cutoff Value of HbA1c in Predicting Diabetes in Korean Adults in a University Hospital in Seoul.
Ji Cheol Bae, Eun Jung Rhee, Eun Suk Choi, Ji Hoon Kim, Won Jun Kim, Seung Hyun Yoo, Se Eun Park, Cheol Young Park, Won Young Lee, Ki Won Oh, Sung Woo Park, Sun Woo Kim
Korean Diabetes J. 2009;33(6):503-510.   Published online December 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.6.503
  • 2,885 View
  • 30 Download
  • 6 Crossref
AbstractAbstract PDF
BACKGROUND
Glycated hemoglobin (HbA1c) levels represent a 2~3 month average of blood glucose concentration. The use of HbA1c as a diagnostic tool for diabetes is gaining interest. Therefore, we determined the cutoff point of HbA1c for predicting abnormal glucose tolerance status in non-diabetic Korean subjects. METHODS: We analyzed the data from 1,482 subjects without diabetes mellitus in whom a 75-g oral glucose tolerance test (OGTT) was performed due to suspected abnormal glucose tolerance. We obtained an HbA1c cutoff point for predicting diabetes using Receiver Operating Characteristic (ROC) curve analysis. RESULTS: A cut-off point of 5.95% HbA1c yielded sensitivity of 60.8% and specificity of 85.6%, respectively, for predicting diabetes. There was a difference in HbA1c cut-off value between men and women, 5.85% and 6.05%, respectively. CONCLUSION: To use the cut-off point of 5.95% HbA1c for predicting undiagnosed diabetes in Koreans may be reliable. However, studies of different ethnic groups have reported disparate HbA1c cut-off points. Thus, ethnicity, age, gender, and population prevalence of diabetes are important factors to consider in using elevated HbA1c value as a tool to diagnose diabetes.

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  • 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
  • Role of HbA1c in the Screening of Diabetes Mellitus in a Korean Rural Community
    Jae Hyun Kim, Gun Woo Kim, Mi Young Lee, Jang Yel Shin, Young Goo Shin, Sang Baek Koh, Choon Hee Chung
    Diabetes & Metabolism Journal.2012; 36(1): 37.     CrossRef
  • 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 & Metabolism Journal.2012; 36(2): 151.     CrossRef
  • The Utility of HbA1c as a Diagnostic Criterion of Diabetes
    Hee-Jung Kim, Eun Young Choi, Eal Whan Park, Yoo Seock Cheong, Hong-Yoen Lee, Ji Hyun Kim
    Korean Journal of Family Medicine.2011; 32(7): 383.     CrossRef
  • 2011 Clinical Practice Guidelines for Type 2 Diabetes in Korea
    Seung-Hyun Ko, Sung-Rea Kim, Dong-Joon Kim, Seung-Joon Oh, Hye-Jin Lee, Kang-Hee Shim, Mi-Hye Woo, Jun-Young Kim, Nan-Hee Kim, Jae-Taik Kim, Chong Hwa Kim, Hae Jin Kim, In-Kyung Jeong, Eun-Kyung Hong, Jae-Hyoung Cho, Ji-Oh Mok, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2011; 35(5): 431.     CrossRef
  • 2011 Clinical Practice Guidelines for Type 2 Diabetes in Korea
    Seung-Hyun Ko, Dong-Joon Kim, Seung-Joon Oh, Hye-Jin Lee, Kang-Hee Shim, Mi-Hye Woo, Jun-Young Kim, Nan-Hee Kim, Jae-Taik Kim, Chong Hwa Kim, Hye Jin Kim, In-Kyung Jeong, Eun-Gyoung Hong, Jae-Hyoung Cho, Ji-Oh Mok, Kun-Ho Yoon, Sung-Rea Kim
    Journal of Korean Diabetes.2011; 12(4): 183.     CrossRef
The Relationship between Serum Retinol-Binding Protein 4 Levels and Coronary Artery Disease in Korean Adults.
Ji Hoon Kim, Eun Jung Rhee, Eun Suk Choi, Jong Chul Won, Cheol Young Park, Won Young Lee, Ki Won Oh, Byung Jin Kim, Ki Chul Sung, Bum Soo Kim, Jin Ho Kang, Sung Woo Park, Sun Woo Kim, Man Ho Lee, Jung Roe Park
Korean Diabetes J. 2009;33(2):105-112.   Published online April 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.2.105
  • 7,722 View
  • 16 Download
  • 1 Crossref
AbstractAbstract PDF
BACKGROUND
A recently discovered adipokine, retinol-binding protein-4 (RBP-4), is reportedly associated with insulin resistance and metabolic syndrome. This study was performed to analyze the relationship between serum RBP-4 levels and coronary artery disease (CAD) in Korean adults. METHODS: In 235 subjects (mean age 58 years) in whom coronary artery angiograms were performed due to complaints of chest pain, serum RBP-4 levels were measured by enzyme-linked immunosorbent assay. Coronary artery angiograms were performed in all subjects and the severity of CAD was assessed by the number of stenotic vessels. The presence of metabolic syndrome was defined by AHA/NHLBI criteria with body mass index substituted for waist circumference. RESULTS: Coronary angiogram showed that 101 subjects (43%) had normal coronary vessel, 82 subjects (34.9%) had 1-vessel disease, 31 subjects (13.2%) had 2-vessel disease and 21 subjects (8.9%) had 3-vessel disease. Subjects with coronary artery stenosis showed a higher mean age (60.5 +/- 10.0 years), fasting glucose (123.3 mg +/- 45.0 mg/dL) and lower mean value for high-density lipoprotein cholesterol (HDL-C) level (49.0 +/- 13.2 mg/dL), although serum RBP-4 levels were not significantly different between those with and without CAD. Mean age and fasting glucose level increased significantly as the number of stenotic vessels increased, although serum RBP4 level showed no significant differences among the different groups. Among the metabolic parameters, only serum triglyceride levels showed a significant correlation with serum RBP-4 levels. CONCLUSION: There was no difference in mean serum RBP-4 levels between subjects with or without coronary artery disease in Korean adults. Further studies are warranted to draw a clear conclusion on the effect of RBP-4 on atherosclerosis.

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  • Retinol binding protein 4 levels relate to the presence and severity of coronary artery disease
    Gokay Nar, Sara Sanlialp, Rukiye Nar
    Journal of Medical Biochemistry.2021; 40(4): 384.     CrossRef
Insulin Sensitivity and Insulin Secretion Determined by Homeostasis Model Assessment and Future Risk of Diabetes Mellitus in Korean Men (Korean Diabetes J 32(6):498-505, 2008).
Eun Suk Choi, Eun Jung Rhee
Korean Diabetes J. 2009;33(1):75-76.   Published online February 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.1.75
  • 1,756 View
  • 18 Download
AbstractAbstract PDF
No abstract available.
Insulin Sensitivity and Insulin Secretion Determined by Homeostasis Model Assessment and Future Risk of Diabetes Mellitus in Korean Men.
Eun Suk Choi, Eun Jung Rhee, Ji Hoon Kim, Jong Chul Won, Cheol Young Park, Won Young Lee, Ki Won Oh, Sung Woo Park, Sun Woo Kim
Korean Diabetes J. 2008;32(6):498-505.   Published online December 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.6.498
  • 2,572 View
  • 33 Download
  • 17 Crossref
AbstractAbstract PDF
BACKGROUND
Insulin resistance and progressive pancreatic beta cell dysfunction have been identified as the two fundamental features in the type 2 diabetes. Homeostasis model assessment (HOMA), based on plasma levels of fasting glucose and insulin, has been widely validated and applied for quantifying insulin resistance and secretion. This study was performed to assess the predictive value of HOMA indices for future diabetes risk. METHODS: In 14,976 Korean men, in which medical check-up was performed both in 2002 and 2006 in a university hospital health promotion center in Seoul, Korea, prospective assessment for diabetes risk was assessed. At baseline, anthropometric measurements were done and fasting glucose, insulin, lipid profiles were measured. HOMA-insulin resistance (HOMA-IR) and beta cell function (HOMA beta-cell) were calculated from fasting glucose and insulin levels. RESULTS: After 4 years, 286 subjects (1.9%) were newly diagnosed as diabetes mellitus. These patients (mean age 40.3 years) were age-matched with 632 control subjects (mean age 39.8 years) and diabetes risk was assessed with HOMA indices. Among the parameters, body mass index, fasting glucose and HOMA beta-cell were the significant determinants for future diabetes risk. When the subjects were divided into two groups according to the baseline median values of HOMA-IR and HOMA beta-cell, and assessed jointly, those with the low HOMA beta-cell and high HOMA-IR showed the highest risk for future diabetes (RR 39.065, 95% CI 11.736~130.035, P < 0.01). The subjects with low baseline HOMA beta-cell showed higher RR for diabetes than those with high baseline HOMA-IR (4.413 vs. 3.379, P = 0.018, P = 0.051). CONCLUSION: High HOMA-IR and low HOMA beta-cell were associated with the highest risk for future diabetes in this prospective study of Korean male subjects. These data suggest the value of HOMA indices for diabetes risk in epidemiologic studies in Asian subjects.

Citations

Citations to this article as recorded by  
  • Effects of a 2-Week Kinect-Based Mixed-Reality Exercise Program on Prediabetes: A Pilot Trial during COVID-19
    So Young Ahn, Si Woo Lee, Hye Jung Shin, Won Jae Lee, Jun Hyeok Kim, Hyun-Jun Kim, Wook Song
    Journal of Obesity & Metabolic Syndrome.2024; 33(1): 54.     CrossRef
  • Case Report of Impaired Fasting Glucose Improved with Korean Medicine Treatment and Dietetic Therapy
    Eun-mi Kim, Ki-tae Kim
    The Journal of Internal Korean Medicine.2021; 42(2): 175.     CrossRef
  • Insulin Resistance Is Associated with Early Gastric Cancer: A Prospective Multicenter Case Control Study
    Hye Jung Kwon, Moo In Park, Seun Ja Park, Won Moon, Sung Eun Kim, Jae Hyun Kim, Youn Jung Choi, Sang Kil Lee
    Gut and Liver.2019; 13(2): 154.     CrossRef
  • Effect of Coenzyme Q10 on Insulin Resistance in Korean Patients with Prediabetes: A Pilot Single-Center, Randomized, Double-Blind, Placebo-Controlled Study
    Ja-Young Yoo, Keun-Sang Yum
    BioMed Research International.2018; 2018: 1.     CrossRef
  • Insulin resistance increases the risk of incident type 2 diabetes mellitus in patients with non‐alcoholic fatty liver disease
    Yuya Seko, Yoshio Sumida, Saiyu Tanaka, Kojiroh Mori, Hiroyoshi Taketani, Hiroshi Ishiba, Tasuku Hara, Akira Okajima, Atsushi Umemura, Taichiro Nishikawa, Kanji Yamaguchi, Michihisa Moriguchi, Kazuyuki Kanemasa, Kohichiroh Yasui, Shunsuke Imai, Keiji Shim
    Hepatology Research.2018;[Epub]     CrossRef
  • The Distribution and Characteristics of Abnormal Findings Regarding Fasting Plasma Glucose and HbA1c - Based on Adults Except for Known Diabetes
    Seyoung Kwon, Youngak Na
    The Korean Journal of Clinical Laboratory Science.2017; 49(3): 239.     CrossRef
  • Association of arsenobetaine with beta-cell function assessed by homeostasis model assessment (HOMA) in nondiabetic Koreans: data from the fourth Korea National Health and Nutrition Examination Survey (KNHANES) 2008-2009
    Kiook Baek, Namhoon Lee, Insung Chung
    Annals of Occupational and Environmental Medicine.2017;[Epub]     CrossRef
  • The Association between Food Group Consumption Patterns and Early Metabolic Syndrome Risk in Non-Diabetic Healthy People
    Rimkyo Yeo, So Ra Yoon, Oh Yoen Kim
    Clinical Nutrition Research.2017; 6(3): 172.     CrossRef
  • Glycemic Effects of Rebaudioside A and Erythritol in People with Glucose Intolerance
    Dong Hee Shin, Ji Hye Lee, Myung Shin Kang, Tae Hoon Kim, Su Jin Jeong, Chong Hwa Kim, Sang Soo Kim, In Joo Kim
    Diabetes & Metabolism Journal.2016; 40(4): 283.     CrossRef
  • Comparison of the Usefulness of the Updated Homeostasis Model Assessment (HOMA2) with the Original HOMA1 in the Prediction of Type 2 Diabetes Mellitus in Koreans
    Young Seok Song, You-Cheol Hwang, Hong-Yup Ahn, Cheol-Young Park
    Diabetes & Metabolism Journal.2016; 40(4): 318.     CrossRef
  • The effects of Atractylodes japonica Koidz. on type 2 diabetic rats
    Dae Hoon Lee, Jae Min Han, Woong Mo Yang
    Journal of Korean Medicine.2015; 36(1): 75.     CrossRef
  • Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased β-Cell Function Similar to Impaired Glucose Tolerance
    Tae Jung Oh, Se Hee Min, Chang Ho Ahn, Eun Ky Kim, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
    Diabetes & Metabolism Journal.2015; 39(2): 147.     CrossRef
  • Relative contributions of insulin resistance and β‐cell dysfunction to the development of Type 2 diabetes in Koreans
    C.‐H. Kim, H.‐K. Kim, E. H. Kim, S. J. Bae, J.‐Y. Park
    Diabetic Medicine.2013; 30(9): 1075.     CrossRef
  • The Relationship between β-cell Function and Nutrient Intakes in Korean Adult - Using 4thKorea National Health and Nutrition Examination Survey 2009 -
    You Mi Lee, Hye Kyung Chung, Heejin Kimm, Sun Ha Jee
    Korean Journal of Community Nutrition.2012; 17(2): 243.     CrossRef
  • A Case of Complete Agenesis of the Dorsal Pancreas in a Patient with Newly Diagnosed Diabetes Mellitus
    Dong Pil Kim, Kang Seo Park, Dong Sun Kim, Bong Suk Ko, Ji Hae Lee, Jae Hyuk Lee, Jong Ho Shin, Byung Jun Kim, Hyun Jin Kim
    Journal of Korean Endocrine Society.2010; 25(1): 78.     CrossRef
  • Insulin Sensitivity and Insulin Secretion Determined by Homeostasis Model Assessment and Future Risk of Diabetes Mellitus in Korean Men (Korean Diabetes J 32(6):498-505, 2008)
    Sang Yong Kim
    Korean Diabetes Journal.2009; 33(1): 73.     CrossRef
  • Insulin Sensitivity and Insulin Secretion Determined by Homeostasis Model Assessment and Future Risk of Diabetes Mellitus in Korean Men (Korean Diabetes J 32(6):498-505, 2008)
    Eun-Suk Choi, Eun-Jung Rhee
    Korean Diabetes Journal.2009; 33(1): 75.     CrossRef
Comparison of the Predictability of Cardiovascular Disease Risk According to Different Metabolic Syndrome Criteria of American Heart Association/National Heart, Lung, and Blood Institute and International Diabetes Federation in Korean Men.
Do Young Lee, Eun Jung Rhee, Eun Suk Choi, Ji Hoon Kim, Jong Chul Won, Cheol Young Park, Won Young Lee, Ki Won Oh, Sung Woo Park, Sun Woo Kim
Korean Diabetes J. 2008;32(4):317-327.   Published online August 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.4.317
  • 2,641 View
  • 19 Download
  • 7 Crossref
AbstractAbstract PDF
BACKGROUND
We compared the prevalences of two criteria of metabolic syndrome, that is, American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and International Diabetes Federation (IDF), in Korean male adults and compared the predictability of insulin resistance and future cardiovascular diseases using Framingham Risk Score. METHODS: In total 23,467 male adults (mean age 43.3 years) who participated in medical check-up in 2005, the prevalences of metabolic syndrome according to AHA/NHLBI and IDF criteria and the presence of insulin resistance, defined by the highest quartile of Homeostasis Model Assessment of insulin resistance index (HOMA-IR), were compared. The relative risk (calculated risk/average risk) for 10-year risk for coronary artery disease (CHD) assessed by Framingham Risk Score were compared. RESULTS: 5.8% of the subjects had diabetes mellitus. 20.7% and 13.2%of the subjects had metabolic syndrome defined by AHA/NHLBI and IDF criteria, and the two criteria showed high agreement with kappa value of 0.737 (P < 0.01). More subjects in IDF-defined group had insulin resistance compared with AHA/NHLBI definition (59.8 vs. 54%, P < 0.01). The odds ratio for increased relative risk (> 1.0) for 10-year CHD were higher in AHA/NHLBI-defined subjects compared with IDF-defined subject (3.295 vs. 3.082). The Kappa values for the analysis of agreement between each criteria and prediction of insulin resistance or cardiovascular disease risk, were too low for comparison. CONCLUSION: In Korean males, the prevalence for metabolic syndrome defined by AHA/NHLBI criteria was higher than those defined by IDF criteria. IDF criteria detected more subjects with insulin resistance, but didn't have better predictability for CHD compared with AHA/NHLBI criteria.

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    Brain Sciences.2023; 13(7): 994.     CrossRef
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    Jaekwon Kim, Ungu Kang, Youngho Lee
    Healthcare Informatics Research.2017; 23(3): 169.     CrossRef
  • Relationship between Abdominal Fat Area Measured by Screening Abdominal Fat CT and Metabolic Syndrome in Asymptomatic Korean Individuals
    Dae Woong Park, Noh Hyuck Park, Ji Yeon Park, Seon-Jeong Kim
    Journal of the Korean Society of Radiology.2017; 77(1): 1.     CrossRef
  • Data-Mining-Based Coronary Heart Disease Risk Prediction Model Using Fuzzy Logic and Decision Tree
    Jaekwon Kim, Jongsik Lee, Youngho Lee
    Healthcare Informatics Research.2015; 21(3): 167.     CrossRef
  • Implication of high‐body‐fat percentage on cardiometabolic risk in middle‐aged, healthy, normal‐weight adults
    Ji Young Kim, Sang‐Hwan Han, Bong‐Min Yang
    Obesity.2013; 21(8): 1571.     CrossRef
  • Cardio-Metabolic Features of Type 2 Diabetes Subjects Discordant in the Diagnosis of Metabolic Syndrome
    Sa Rah Lee, Ying Han, Ja Won Kim, Ja Young Park, Ji Min Kim, Sunghwan Suh, Mi-Kyoung Park, Hye-Jeong Lee, Duk Kyu Kim
    Diabetes & Metabolism Journal.2012; 36(5): 357.     CrossRef
  • Comparison of Cardiovascular Health Status and Health Behaviors in Korean Women based on Household Income
    Young-Joo Park, Nah-Mee Shin, Ji-Won Yoon, Jiwon Choi, Sook-Ja Lee
    Journal of Korean Academy of Nursing.2010; 40(6): 831.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal