Association between Stroke and Abdominal Obesity in the Middle-Aged and Elderly Korean Population: KNHANES Data from 2011–2019

Jong Yeon Kim, Sung Min Cho, Youngmin Yoo, Taesic Lee and Jong Koo Kim
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Jong Yeon Kim: Department of Neurosurgery, Yonsei University Wonju College of Medicine, Wonju 26426, Korea
Sung Min Cho: Department of Neurosurgery, Yonsei University Wonju College of Medicine, Wonju 26426, Korea
Youngmin Yoo: Department of Medicine, Graduate School, Yonsei University Wonju College of Medicine, Wonju 26426, Korea
Taesic Lee: Department of Family Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Korea
Jong Koo Kim: Department of Family Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Korea

IJERPH, 2022, vol. 19, issue 10, 1-11

Abstract: Obesity and overweight status are primary risk factors for stroke. A relative small number of studies has analyzed the association of abdominal obesity, a crucial indicator for insulin resistance with stroke, compared to general obesity. We aimed to reveal 31,490 records from the Korea National Health and Nutrition Examination Survey (KNHANES). Logistic regression was used to identify the association of abdominal obesity with the risk of stroke. For the multivariate model, covariates were determined based on the cardio-cerebro vascular prediction models. In the sex-specific multivariate logistic regression analysis (including age, antihypertensive drug, diabetes, current smoking, and systolic blood pressure as confounders), the elevated waist circumference (WC) in women was significantly associated with the increased risk for stroke. In case of the categorized form of WC, we discerned the non-linear relationships between WC and the stroke status. The sex-specific associations between the abdominal obesity and stroke status were shown and their relationship pattern exhibited non-linear relationships.

Keywords: stroke; abdominal obesity; waist circumference; KNHANES; risk factor (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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