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Sung Jung Cho 1 Article
Clinical Study
Big Data Articles (National Health Insurance Service Database)
Variabilities in Weight and Waist Circumference and Risk of Myocardial Infarction, Stroke, and Mortality: A Nationwide Cohort Study
Da Hye Kim, Ga Eun Nam, Kyungdo Han, Yang-Hyun Kim, Kye-Yeung Park, Hwan-Sik Hwang, Byoungduck Han, Sung Jung Cho, Seung Jin Jung, Yeo-Joon Yoon, Yong Kyun Roh, Kyung Hwan Cho, Yong Gyu Park
Endocrinol Metab. 2020;35(4):933-942.   Published online December 23, 2020
DOI: https://doi.org/10.3803/EnM.2020.871
  • 5,125 View
  • 106 Download
  • 14 Web of Science
  • 15 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
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 allcause mortality. Our findings suggest that variabilities in obesity measures are associated with adverse health outcomes in the general population.

Citations

Citations to this article as recorded by  
  • Weight variability and cardiovascular outcomes: a systematic review and meta-analysis
    Robert J. Massey, Moneeza K. Siddiqui, Ewan R. Pearson, Adem Y. Dawed
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
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    Diabetes & Metabolism Journal.2022; 46(5): 767.     CrossRef
  • Nonalcoholic fatty liver disease and the risk of insulin-requiring gestational diabetes
    Sang Youn You, Kyungdo Han, Seung-Hawn Lee, Mee Kyoung Kim
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    Inha Jung, Dae-Jeong Koo, Mi Yeon Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
    Endocrinology and Metabolism.2021; 36(4): 845.     CrossRef
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