Association between BMI and Dyslipidemia:A Dose-response Analysis
10.11783/j.issn.1002-3674.2024.01.004
- VernacularTitle:BMI与血脂异常患病关联强度剂量-反应关系研究
- Author:
Jinling DU
1
;
Nan ZHOU
;
Yijia CHEN
Author Information
1. 南京医科大学附属南京疾病预防控制中心慢性非传染病防制科(210003);南京医科大学公共卫生学院流行病与卫生统计学系
- Keywords:
Restricted cubic spline;
Dyslipidemia;
Body mass index
- From:
Chinese Journal of Health Statistics
2024;41(1):18-22
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the dose-response relationship between BMI and the prevalence of dyslipidemia using restricted cubic spline model.Methods Using data of Chronic Disease and Risk Factor Surveillance in Nanjing City from 2017 to 2018.A representative sample of 61 098 residents aged≥18 years was surveyed by face-to-face questionnaire survey,anthropometric measurements and laboratory examinations.A logistic regression model of complex sampling and restricted cubic spline model were used to analyze the dose-response relationship between BMI and the risk of dyslipidemia.Results Finally,60 283 subjects were included.Among them,there were 17 093 dyslipidemia patients with a standardized prevalence rate of 29.8%.After adjusting for confounding factors by multiple logistic regression,participants with overweight(OR=1.43,95%CI:1.36～1.49)and obesity(OR=1.97,95%CI:1.83～2.12)had a significantly higher risk of dyslipidemia compared to those with normal weight.The multiple restricted cubic spline model indicated a non-linear dose-response relationship between BMI and the risk of dyslipidemia in women,young,middle-aged and elderly population,and a linear dose-response relationship between BMI and the risk of dyslipidemia in men.Conclusion Weight control plays a very important role in the prevention of dyslipidemia.
