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학술저널
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김다혜 (가톨릭대학교) 남가은 (고려대학교) 한경도 (숭실대학교) 김양현 (고려대학교) 박계영 (한양의대병원) 황환식 (한양대학교) 한병덕 (고려대학교구로병원) 조성중 (고려대학교) 정승진 (고려대학교) 윤여준 (Sahmyook Medical Center) 노용균 (한림대학교) 조경환 (고려대학교 의과대학 가정의학교실) 박용규 (가톨릭대학교)
저널정보
대한내분비학회 Endocrinology and Metabolism Endocrinology and Metabolism Vol.35 No.4
발행연도
2020.1
수록면
933 - 942 (10page)

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Background: Evidence regarding the association between variabilities in obesity measures and health outcomes is limited. We aimed to examine the association between variabilities in obesity measures and cardiovascular outcomes and all-cause mortality. Methods: We identified 4,244,460 individuals who underwent health examination conducted by the Korean National Health Insurance Service during 2012, with ≥3 anthropometric measurements between 2009 and 2012. Variabilities in body weight (BW) and waist circumference (WC) were assessed using four indices including variability independent of the mean (VIM). We performed multivariable Cox proportional hazards regression analyses. Results: During follow-up of 4.4 years, 16,095, 18,957, and 30,200 cases of myocardial infarction (MI), stroke, and all-cause mortality were recorded. Compared to individuals with the lowest quartiles, incrementally higher risks of study outcomes and those of stroke and all-cause mortality were observed among individuals in higher quartiles of VIM for BW and VIM for WC, respectively. The multivariable adjusted hazard ratios and 95% confidence intervals comparing the highest versus lowest quartile groups of VIM for BW were 1.17 (1.12 to 1.22) for MI, 1.20 (1.16 to 1.25) for stroke, and 1.66 (1.60 to 1.71) for all-cause mortality; 1.07 (1.03 to 1.12) for stroke and 1.29 (1.25 to 1.33) for all-cause mortality regarding VIM for WC. These associations were similar with respect to the other indices for variability. Conclusion: This study revealed positive associations between variabilities in BW and WC and cardiovascular outcomes and all cause mortality. Our findings suggest that variabilities in obesity measures are associated with adverse health outcomes in the general population.

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