Prevalence and influencing factors of metabolic syndrome in the population aged 35-75 years in Hubei Province
10.3969/j.issn.1006-2483.2026.03.017
- VernacularTitle:湖北省35~75岁人群代谢综合征流行现状及影响因素
- Author:
Peijun ZHANG
1
;
Meng LEI
1
;
Shuzhen ZHU
1
;
Junfeng QI
1
;
Shenghong HAN
1
;
Junlin LI
1
Author Information
1. Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
- Publication Type:Journal Article
- Keywords:
Metabolic syndrome;
Epidemic status;
Influencing factors
- From:
Journal of Public Health and Preventive Medicine
2026;37(3):80-84
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the prevalence characteristics and influencing factors of metabolic syndrome (MS) in people aged 35-75 years in Hubei Province. Methods The follow-up data from 2016 to 2022 in the early screening and comprehensive intervention project for high-risk cardiovascular population in Hubei Province were collected. SAS 9.4 software was used to conduct 2-test and multivariate logistic regression to analyze the prevalence of MS and its influencing factors. Results Among the 89 199 subjects, 24 757 were affected by MS, with a prevalence rate of 27.75% and a standardized rate of 23.55%. Among the various components of MS, the prevalence of abnormal blood pressure was the highest, at 70.88%, and the standardized rate was 59.32%. Secondly, abnormal blood glucose was 36.26%, and the standardized rate was 30.04%. Central obesity was 33.12%, and the standardized rate was 30.28%. Hypertriglyceridemia was 32.90%, and the standardized prevalence rate was 32.70%. The rate of low HDL-C syndrome was 10.25%, and the standardized rate was 11.67%. The results of multivariate logistic regression analysis showed that the risk of MS increased with age, and the risk of MS in urban residents was lower than that in rural residents (OR=0.835, 95%CI: 0.77-0.886). Administrative and professional workers had a higher risk of MS than farmers (OR=1.313, 95%CI:1.194-1.445). Overweight, obesity, central obesity, history of self-reported hypertension, history of self-reported diabetes, and history of self-reported dyslipidemia were associated with a higher risk of MS, and the differences were statistically significant (P < 0.001). Conclusion The prevalence of MS is high in people aged 35-75 years in Hubei Province. On the basis of comprehensive intervention, focus monitoring should be strengthened to control the risk factors of MS and reduce the risk of cardiovascular and cerebrovascular diseases.
