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Obesity Is Indirectly Associated with Sudden Cardiac Arrest through Various Risk Factorsopen access

Authors
Kim, Y.G.Jeong, J.H.Roh, S.-Y.Han, K.-D.Choi, Y.Y.Min, K.Shim, J.Choi, J.-I.Kim, Y.-H.
Issue Date
Mar-2023
Publisher
MDPI
Keywords
body-mass index; central obesity; sudden cardiac arrest; waist circumference
Citation
Journal of Clinical Medicine, v.12, no.5
Journal Title
Journal of Clinical Medicine
Volume
12
Number
5
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/43801
DOI
10.3390/jcm12052068
ISSN
2077-0383
Abstract
Although obesity is a well-established risk factor of cardiovascular event, the linkage between obesity and sudden cardiac arrest (SCA) is not fully understood. Based on a nationwide health insurance database, this study investigated the impact of body weight status, measured by body-mass index (BMI) and waist circumference, on the SCA risk. A total of 4,234,341 participants who underwent medical check-ups in 2009 were included, and the influence of risk factors (age, sex, social habits, and metabolic disorders) was analyzed. For 33,345,378 person-years follow-up, SCA occurred in 16,352 cases. The BMI resulted in a J-shaped association with SCA risk, in which the obese group (BMI ≥ 30) had a 20.8% increased risk of SCA compared with the normal body weight group (18.5 ≤ BMI < 23.0) (p < 0.001). Waist circumference showed a linear association with the risk of SCA, with a 2.69-fold increased risk of SCA in the highest waist circumference group compared with the lowest waist circumference group (p < 0.001). However, after adjustment of risk factors, neither BMI nor waist circumference was associated with the SCA risk. In conclusion, obesity is not independently associated with SCA risk based on the consideration of various confounders. Rather than confining the findings to obesity itself, comprehensive consideration of metabolic disorders as well as demographics and social habits might provide better understanding and prevention of SCA. © 2023 by the authors.
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College of Natural Sciences (Department of Statistics and Actuarial Science)
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