Diabetes & Metabolism Journal

Mi Ah Han (Han MA)

2 Articles

Association of Hemoglobin A1c with Cardiovascular Disease Risk Factors and Metabolic Syndrome in Nondiabetic Adults.: Jin Hwa Kim, So Ra Choi, Jae Rok Lee, Ji Hye Shin, Sang Jun Lee, Mi Ah Han, Jong Park, Hak Yeon Bae, Sang Yong Kim; Korean Diabetes J. 2008;32(5):435-444. Published online October 1, 2008; DOI: https://doi.org/10.4093/kdj.2008.32.5.435

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BACKGROUND
Glycosylated hemoglobin (HbA1c) is a useful index of mean blood glucose concentrations over the preceding 2 to 3 months. Elevated HbA1c levels (> 7%) are associated with a higher incidence of microvascular and macrovascular complications in patients with diabetes mellitus. However, the relationship between HbA1c and cardiovascualr disease risk in nondiabetic adults has been unclear. The aim of this study is to estimate the association of HbA1c with cardiovascular disease risk factors and metabolic syndrome in nondiabetic adults. METHODS: The subjects of this study included 533 adults (180 males and 353 females) aged 20~70 years (mean age: 46.9 +/- 10.12 years) without previously diagnosed diabetes who lived in Kangyang country. We examined baseline HbA1c levels and cardiovascular risk factors. Metabolic syndrome was defined based on International Diabetes Federation guidelines. RESULTS: The prevalence of metabolic syndrome significantly increased as HbA1c increased. HbA1c revealed a significant correlation with age (r = 0.258, P < 0.001), BMI (r = 0.152, P < 0.001), waist circumference (r = 0.252, P < 0.001), fasting plasma glucose (r = 0.319, P < 0.001), systolic (r = 0.100, P = 0.021), diastolic (r = 0.115, P = 0.008) blood pressure, total cholesterol (r = 0.232, P < 0.001), triglyceride (r = 0.156, P < 0.001), LDL cholesterol (r = 0.216, P < 0.001), and HDL cholesterol (r = -0.167, P < 0.001). Multiple regression analysis showed that HbA1c had a association with age, fasting plasma glucose, and dyslipidemia. The receiver operating characterstics (ROC) curve analysis determined HbA1c of 5.35% to yield optimal sensitivity and specificity corresponding to the presence of metabolic syndrome. CONCLUSION: The HbA1c level is correlated with cardiovascular risk factors and prevalence of metabolic syndrome in nondiabetic adults.

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Association of Glycated Proteins with Inflammatory Proteins and Periodontal Disease Parameters
Jeneen Panezai, Mohammad Altamash, Per-Erik Engstrӧm, Anders Larsson
Journal of Diabetes Research.2020; 2020: 1. CrossRef
The Impact of Health Behaviors of Male Workers without Diabetes on HbA1c
Ji-Yun Park, Keon-Yeop Kim, Su-Jin Lee
Journal of Health Informatics and Statistics.2018; 43(4): 344. CrossRef
Impact of initial glycosylated hemoglobin level on cardiovascular outcomes in prediabetic patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention
Donghun Shin, Jinhee Ahn, Kwang Soo Cha, Jin Sup Park, Jun-Hyok Oh, Hye-Won Lee, Ju-Yong Hong, Bo-Won Kim, Taek Jong Hong
Coronary Artery Disease.2016; 27(1): 40. CrossRef
HbA1c Levels Are Associated with Chronic Kidney Disease in a Non-Diabetic Adult Population: A Nationwide Survey (KNHANES 2011–2013)
Seok Hui Kang, Da Jung Jung, Eun Woo Choi, Kyu Hyang Cho, Jong Won Park, Jun Young Do, Sheng-Nan Lu
PLOS ONE.2015; 10(12): e0145827. 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
Relationship between inflammation biomarkers, antioxidant vitamins, and bone mineral density in patients with metabolic syndrome
Yesong Lee, Misung Kim, Kyungsuk Choi, Juyong Kim, Wookyung Bae, Sohye Kim, Cheongmin Sohn
Nutrition Research and Practice.2011; 5(2): 150. CrossRef

Evaluation of Fasting Plasma Glucose as a Screening for Diabetes Mellitus in Middle-aged Adults of Naju Country.: Jin Hwa Kim, Mi Ah Han, Chol Jin Park, Il Goo Park, Ji Hye Shin, Sang Yong Kim, So Yeon Ryu, Hak Yeon Bae; Korean Diabetes J. 2008;32(4):328-337. Published online August 1, 2008; DOI: https://doi.org/10.4093/kdj.2008.32.4.328

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Abstract PDF

BACKGROUND
The criteria for the diagnosis of diabetes mellitus have been modified by the American Diabetes Association (ADA) in 1997. The ADA proposed that the diagnosis of diabetes be defined by a fasting plasma glucose (FPG) of 7.0 mmol/L. Disagreement has been reported between criteria based on FPG and postchallenge 2-h plasma glucose (2-h PG). The aim of the present study is to assess the FPG criteria as the diagnostic screening test for diabetes in Korean middle-aged adults in comparison to the 2-h PG criteria. METHODS: Randomly selected 1,731 subjects (679 men and 1,052 women) aged 40~70 years (mean age: 58.4 +/- 7.89 years) without previously diagnosed diabetes completed 75 g oral glucose tolerance test (OGTT). We assessed the prevalence of diabetes mellitus and the level of agreement (kappa statistics) according to the different diagnostic glucose categories. RESULTS: The frequency of newly diagnosed diabetes was 2.7% (n = 51) using the FPG criteria only; 6.4% (n = 120) using the 2-h PG criteria only; and 6.9% (n = 130) using concentrations of > or = 7.0 mmol/L for FPG or > or = 11.1 mmol/L for 2-h PG. Of the 120 subjects with diabetes by the 2-h PG criteria, 65.8% (n = 79) were not diagnosed with diabetes according to FPG concentration. The level of agreement between two diagnostic criteria was low (kappa = 0.268). The receiver operating characterstic (ROC) curve analysis determined FPG of 5.6 mmol/L to yield optimal sensitivity and specificity corresponding to 2-h PG 11.1 mmol/L. CONCLUSION: The findings in this study demonstrate that the discordance between the FPG and 2-h PG criteria in the diagnosis of diabetes in Korean middle-aged adults is large. We suggest that IFG group (FPG 5.6~6.9 mmol/L) were performed 75 g OGTT for diagnosing diabetes mellitus in Korean middle-aged adults.

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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
Gender differences in metabolic syndrome components among the Korean 66-year-old population with metabolic syndrome
Sangjin Lee, Young Ko, Chanyeong Kwak, Eun-shil Yim
BMC Geriatrics.2016;[Epub] 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
Associated Factors of Impaired Fasting Glucose in Some Korean Rural Adults
Hye Eun Yun, Mi-ah Han, Ki Soon Kim, Jong Park, Myeng Guen Kang, So Yeon Ryu
Journal of Preventive Medicine and Public Health.2010; 43(4): 309. CrossRef
Comparing Survival Functions with Doubly Interval-Censored Data: An Application to Diabetes Surveyed by Korean Cancer Prevention Study
Sun-Ha Jee, Chung-Mo Nam, Jin-Heum Kim
Korean Journal of Applied Statistics.2009; 22(3): 595. CrossRef

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