The prevalence of peripheral arterial disease and its relationship with obesity status among residents in Shenzhen City
Objective To analyze the prevalence of peripheral arterial disease(PAD)among residents in Shenzhen and explore its relationship with different obesity statuses,to provide data support for understanding the prevalence of PAD in China and a basis for formulating prevention and control policies to prevent PAD.Methods From April 2021 to December 2021,a multi-stage stratified random sampling method was used to select permanent residents aged 18 years or older from 54 community neighborhood committees in Shenzhen as the study population.Data were collected using questionnaires,physical examinations,and laboratory tests.A generalized additive model was fitted and plotted using the R package,and logistic regression models were used to analyze the association between different obesity status groups and PAD.Results Among the 6 230 study subjects,the prevalence of PAD in the study population was 6.21%,and the prevalence of PAD increased with age,with the lowest rate of 4.67%in the 18-<25 age group and the highest rate of 33.33%in the≥85 age group.In addition,the prevalence of PAD increased with increasing body mass index(BMI)or waist circumference.Analysis of multifactorial logistic regression models showed that both overall obesity(OO)classified by BMI and central obesity(CO)classified by waist circumference may increase the risk of PAD(OO statistic value OR=2.63,95%CI:1.97-3.50;CO statistic value OR=2.32,95%CI:1.79-2.99).When combining BMI and waist circumference classification,compared to those who were neither OO nor CO,individuals who were both OO and CO had a significantly higher risk of PAD(OR=2.61,95%CI:1.99-3.44).Conclusions The prevalence of PAD among adults in Shenzhen is not optimistic,and the elderly need additional attention.Both OO based on BMI and CO based on waist circumference are independent risk factors for PAD.The joint use of BMI and waist circumference grouping helps to better classify and manage people at risk of PAD.
Body mass indexwaist circumferenceobesityperipheral artery diseaseShenzhen City
NETL
NSTL
万方数据
