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.
关键词
限制性立方样条/血脂异常/体质指数
Key words
Restricted cubic spline/Dyslipidemia/Body mass index
维普
万方数据