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Factors Associated with Insulin Resistance in a Middle-Aged Non-Obese Rural Population: The Chungju Metabolic Disease Cohort (CMC) Study
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Sun Young Lim, Hee Sung Ha, Hyuk-Sang Kwon, Jin-Hee Lee, Hyeon Woo Yim, Kun-Ho Yoon, Won-Chul Lee, Ho-Young Son, Yong-Moon Park
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Epidemiol Health. 2011;33:e2011009. Published online September 26, 2011
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DOI: https://doi.org/10.4178/epih/e2011009
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Abstract
<sec><title>OBJECTIVES</title><p>We aimed to determine the characteristics affecting insulin resistance in non-obese middle-aged adults in a rural community.</p></sec><sec><title>METHODS</title><p>A total of 1,270 non-diabetic adults aged between 40 and 64 years old with body mass index (BMI) less than 25 kg/m<sup>2</sup> were analyzed. Subjects with insulin resistance were defined as those who had the highest quartile value of the homeostasis model assessment of insulin resistance (HOMA-IR) in a non-diabetic population.</p></sec><sec><title>RESULTS</title><p>A total of 217 subjects (20.6%) had insulin resistance. Prevalence of metabolic syndrome was significantly higher in insulin-resistant subjects in both men (29.3% vs. 10.3%) and women (34.1% vs. 15.6%). Among metabolic syndrome components, elevated waist circumference and elevated triglyceride were higher in insulin-resistant subjects in both genders. After being controlled for socioeconomic status and lifestyle related covariates, the association between insulin resistance and BMI was statistically significant in the category of 23.0-24.9 kg/m<sup>2</sup> in men (adjusted OR, 4.63; 95% confidence interval [95% CI], 1.77-12.15) using the category of 18.5-20.9 kg/m<sup>2</sup> as a reference. In addition, the association between insulin resistance and abdominal obesity was statistically significant only for men (adjusted OR, 2.57; 95% CI, 1.29-5.11).</p></sec><sec><title>CONCLUSION</title><p>Insulin resistance appears to be highly associated with high BMI and abdominal obesity, even in non-obese, non-diabetic middle-aged men.</p></sec>
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Citations to this article as recorded by  - Relapsing-remitting multiple sclerosis patients display an altered lipoprotein profile with dysfunctional HDL
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Scientific Reports.2017;[Epub] CrossRef - Insulin Resistance of Normal Weight Central Obese Adolescents in Korea Stratified by Waist to Height Ratio: Results from the Korea National Health and Nutrition Examination Surveys 2008–2010
Won Kyoung Cho, Hyojin Kim, Hyun Young Lee, Kyung Do Han, Yeon Jin Jeon, In Ah Jung, Shin Hee Kim, Kyoung Soon Cho, So Hyun Park, Min Ho Jung, Byung-Kyu Suh
International Journal of Endocrinology.2015; 2015: 1. CrossRef - Impact of ENPP1 K121Q on Change of Insulin Resistance after Web-Based Intervention in Korean Men with Diabetes and Impaired Fasting Glucose
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Journal of Korean Medical Science.2014; 29(10): 1353. CrossRef - Genetic determinants of cardiometabolic risk: A proposed model for phenotype association and interaction
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Journal of Clinical Lipidology.2013; 7(1): 65. CrossRef
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Association between Metabolic Syndrome and Alcohol drinking and Smoking histories in a rural area of Korea.
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Hee Sung Ha, Hyeon Woo Yim, Yong Moon Park, Jin Hee Lee, Seung Hwan Lee, Hyuk Sang Kwon, Kun Ho Yoon, Ho Young Son, Moo Il Kang, Won Chul Lee
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Korean J Epidemiol. 2008;30(2):281-293. Published online December 31, 2008
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DOI: https://doi.org/10.4178/kje.2008.30.2.281
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PURPOSE
Prevalence of metabolic syndrome is increasing markedly in rural area of Korea. Alcohol drinking and smoking are the main risk factors which shows the highest prevalence rate among the risk factors of metabolic syndrome. The aim of this study was to investigate the association between metabolic syndrome and alcohol drinking and smoking histories in a rural area of Korea.
METHODS Data was obtained from 1,332(507 men, 825 women) individuals aged over 40 years who lived in rural area of Chungju city in 2007. Metabolic syndrome was defined by NCEP ATP III criteria and waist circumference was defined by WHO-APR(Asia Pacific Region). Data analysis was carried out using SAS version 8.02.
RESULTS In men, adjusted odds ratio for metabolic syndrome was 2.78(1.09-7.05) for current alcohol drinker, 2.75(1.38-5.51) for past alcohol drinker, 3.25(1.58-6.67) for under 21 years old at start of alcohol drinking, 2.62(1.12-6.11) for light alcohol drinker, 6.01(2.65-13.64) for heavy alcohol drinker. In women, all the alcohol related risk factors were not statistically significant with metabolic syndrome. For all the smoking related risk factors were not statistically significant with metabolic syndrome in men and women. Adjusted odds ratio of alcohol drinking habits for each components of diagnostic criteria of metabolic syndrome was significant for high blood pressure, high fasting glucose and hypertriglyceridemia in men and abdominal obesity in women. Adjusted odds ratio of cigarette smoking habits for each components of diagnostic criteria of metabolic syndrome was significant for abdominal obesity in women.
CONCLUSION Controlling alcohol drinking habits in men should be reinforced in order to prevent the metabolic syndrome in a rural area of Korea.
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