- Obesity and Metabolic Syndrome
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- The Risk of Myocardial Infarction and Ischemic Stroke According to Waist Circumference in 21,749,261 Korean Adults: A Nationwide Population-Based Study
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Jung-Hwan Cho, Eun-Jung Rhee, Se-Eun Park, Hyemi Kwon, Jin-Hyung Jung, Kyung-Do Han, Yong-Gyu Park, Hye Soon Park, Yang-Hyun Kim, Soon-Jib Yoo, Won-Young Lee
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Diabetes Metab J. 2019;43(2):206-221. Published online December 27, 2018
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DOI: https://doi.org/10.4093/dmj.2018.0039
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Abstract
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- Background
Waist circumference (WC) is a well-known obesity index that predicts cardiovascular disease (CVD). We studied the relationship between baseline WC and development of incident myocardial infarction (MI) and ischemic stroke (IS) using a nationwide population-based cohort, and evaluated if its predictability is better than body mass index (BMI). MethodsOur study included 21,749,261 Koreans over 20 years of age who underwent the Korean National Health Screening between 2009 and 2012. The occurrence of MI or IS was investigated until the end of 2015 using National Health Insurance Service data. ResultsA total of 127,289 and 181,637 subjects were newly diagnosed with MI and IS. The incidence rate and hazard ratio of MI and IS increased linearly as the WC level increased, regardless of adjustment for BMI. When the analyses were performed according to 11 groups of WC, the lowest risk of MI was found in subjects with WC of 70 to 74.9 and 65 to 69.9 cm in male and female, and the lowest risk of IS in subjects with WC of 65 to 69.9 and 60 to 64.9 cm in male and female, respectively. WC showed a better ability to predict CVD than BMI with smaller Akaike information criterion. The optimal WC cutoffs were 84/78 cm for male/female for predicting MI, and 85/78 cm for male/female for predicting IS. ConclusionWC had a significant linear relationship with the risk of MI and IS and the risk began to increase from a WC that was lower than expected.
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Citations
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- Serum Adiponectin and Type 2 Diabetes: A 6-Year Follow-Up Cohort Study
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Sun Ha Jee, Chul Woo Ahn, Jong Suk Park, Chang Gyu Park, Hyon-Suk Kim, Sang-Hak Lee, Sungha Park, Myoungsook Lee, Chang Beom Lee, Hye Soon Park, Heejin Kimm, Sung Hee Choi, Jidong Sung, Seungjoon Oh, Hyojee Joung, Sung Rae Kim, Ho-Joong Youn, Sun Mi Kim, Hong Soo Lee, Yejin Mok, Eunmi Choi, Young Duk Yun, Soo-Jin Baek, Jaeseong Jo, Kap Bum Huh
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Diabetes Metab J. 2013;37(4):252-261. Published online August 14, 2013
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DOI: https://doi.org/10.4093/dmj.2013.37.4.252
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- Background
Studies on factors which may predict the risk of diabetes are scarce. This prospective cohort study was conducted to determine the association between adiponectin and type 2 diabetes among Korean men and women. MethodsA total of 42,845 participants who visited one of seven health examination centers located in Seoul and Gyeonggi province, Republic of Korea between 2004 and 2008 were included in this study. The incidence rates of diabetes were determined through December 2011. To evaluate the effects of adiponectin on type 2 diabetes, the Cox proportional hazard model was used. ResultsOf the 40,005 participants, 959 developed type 2 diabetes during a 6-year follow-up. After the adjustment for age, body mass index (BMI), and waist circumference, the risks for type 2 diabetes in participants with normoglycemia had a 1.70-fold (95% confidence interval [CI], 1.21 to 2.38) increase in men and a 1.83-fold (95% CI, 1.17 to 2.86) increase in women with the lowest tertile of adiponectin when compared to the highest tertile of adiponectin. For participants with impaired fasting glucose (IFG), the risk for type 2 diabetes had a 1.46-fold (95% CI, 1.17 to 1.83) increase in men and a 2.52-fold (95% CI, 1.57 to 4.06) increase in women with the lowest tertile of adiponectin. Except for female participants with normoglycemia, all the risks remained significant after the adjustment for fasting glucose and other confounding variables. Surprisingly, BMI and waist circumference were not predictors of type 2 diabetes in men or women with IFG after adjustment for fasting glucose and other confounders. ConclusionA strong association between adiponectin and diabetes was observed. The use of adiponectin as a predictor of type 2 diabetes is considered to be useful.
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