Associations between different levels of blood pressure and risk of prediabetes
10.3760/cma.j.cn112338-20220505-00379
- VernacularTitle:不同血压水平与糖尿病前期的关联性
- Author:
Miaoyan SHEN
1
;
Lan ZHANG
;
Shuzhen ZHU
;
Jingju PAN
;
Yumeng TANG
;
Qian LI
;
Mengge ZHOU
;
Tianjing HE
Author Information
1. 湖北省疾病预防控制中心慢性病防治研究所慢病监测部，武汉 430079
- Keywords:
Prediabetes;
Blood pressure;
Prevalence;
Cross-sectional studies
- From:
Chinese Journal of Epidemiology
2022;43(12):1939-1944
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore sex and rural-urban differences in the associations of different blood pressure levels with the risk of prediabetes.Methods:We used a multi-stage stratified cluster random sampling method to investigate 21 637 residents aged ≥18 years from 10 survey areas in Hubei province in 2020. The data on questionnaire, physical measurements, and laboratory indicators of the participants were collected. The associations of different blood pressure levels with risk of prediabetes by sex and regions were analyzed using multivariate logistic regressions after complex weighting.Results:A total of 16 111 subjects were included. The prevalence (95% CI) of prediabetes, impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and IFG complicated with IGT were 25.1% (14.4%-35.9%), 12.7% (3.2%-22.1%), 8.1% (6.3%-9.8%), and 4.4% (2.3%-6.5%), respectively. After multivariate adjustment, the risk of prediabetes, IFG, IGT, and IFG complicated with IGT increased with the increment of blood pressure (both P for trend <0.05). The positive dose-response relationships between blood pressure levels and risk of prediabetes were also significant among male, urban, and rural residents (both P for trend <0.05), and the interactions between sex and blood pressure showed significant associations for risk of prediabetes and IGT (both P for interaction <0.05). Conclusions:Higher blood pressure levels were associated with an increased risk of prediabetes. The association with prediabetes was stronger in males, but no significant difference was found between urban and rural residents. More distinctive and effective prevention and control strategies should be developed for different populations.
