Author:
Yim Mi Hong,Jeon Young Ju,Lee Bum Ju
Abstract
AbstractStroke is strongly associated with death and disability. However, the associations between stroke and lipid profiles such as total cholesterol, triglycerides, high-density lipoprotein cholesterol (HDL-C), and red blood cells (RBCs) and anthropometric indices such as waist circumference and waist-to-height ratio (WHtR) remain unclear. The objective of this study was to investigate these relationships in a Korean population. This large-scale cross-sectional study included data from 38,190 subjects collected from 2010 to 2018 by the Korea National Health and Nutrition Examination Survey (KNHANES). Simple logistic regression models and multiple logistic regression models were used to evaluate the association of stroke with lipid profiles and anthropometric indices in the crude model, adjusted Model 1, and fully adjusted Model 2. In men, stroke was negatively associated with height, weight, and hematocrit level. Total cholesterol and triglycerides were strongly negatively associated with stroke in Model 2. Creatinine level and stroke were weakly associated. Additionally, height, weight, total cholesterol, triglycerides, and hematocrit and creatinine levels were associated with stroke both before and after adjustment. In women, in Model 2, stroke was positively associated with height, weight, and creatinine level. A strong negative association was found between total cholesterol and stroke. Stroke was negatively associated with hemoglobin level, hematocrit level, and RBCs. Additionally, total cholesterol, hemoglobin level, hematocrit level, creatinine level, and RBCs were associated with stroke both before and after adjustment. Weight and height were more closely associated with stroke than waist circumference and WHtR in Korean men. Our results suggested that the association of stroke with triglycerides, height, and weight differed according to sex and that HDL-C was not associated with stroke in people of either sex.
Funder
Institute of Information & Communications Technology Planning & Evaluation
Publisher
Springer Science and Business Media LLC
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