Association of cumulative pulse pressure levels with the risk of metabolic syndrome
10.3760/cma.j.cn311282-20231030-00143
- VernacularTitle:累积脉压差水平与代谢综合征发生风险的相关性
- Author:
Peimeng ZHU
1
;
Jingfeng CHEN
;
Su YAN
;
Youxiang WANG
;
Haoshuang LIU
;
Jiaoyan LI
;
Suying DING
Author Information
1. 郑州大学公共卫生学院流行病学教研室 450001
- Keywords:
Pulse pressure;
Cumulative exposure;
Metabolic syndrome;
Cox proportional hazards regression model
- From:
Chinese Journal of Endocrinology and Metabolism
2024;40(10):858-866
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the potential correlation between cumulative pulse pressure (cumPP) level and metabolic syndrome (MetS), and to provide insights for MetS management.Methods:A total of 3 968 subjects who underwent health checkup were selected to form a research cohort, and the data were categorized into three groups based on the tertiles of cumPP levels. Cox proportional hazards regression model was employed to analyze the association between different cumPP levels and the incidence of new-onset MetS. Results:The risk of MetS increased with the increased tiers of the cumPP levels (2.5%, 4.3%, and 4.6%, Ptrend<0.001) during the median follow-up period of 2.16 years. Spearman rank correlation analysis showed that cumPP was positively correlated with waist circumference, systolic blood pressure, diastolic blood pressure and fasting plasma glucose (all P<0.05). The Cox proportional hazards regression adjusted model showed that the risk of MetS in Q2 and Q3 was higher than that in Q1 in the total population, and the same results were observed in males (all P<0.05), while there was no statistical significance in females. Model 3 of the total population adjusted for a variety of confounding factors displayed a higher risk of MetS in Q3 compared with that in Q1[1.654 (95% CI 1.272-2.151) ]. When stratified by sex, and the risk of MetS in Q3 was 1.665 times higher than that in Q1 (95% CI 1.245-2.227), while there was no statistically significant risk in female. According to the visual nomogram of independent risk factors screened by multivariate analysis based on Cox proportional hazards regression model, the incidence of MetS at 1 year, 2 years, and 3 years was 0.18%, 3.97% and 7.39%, respectively. In addition, the dose-response curve was plotted according to cumPP, suggesting that the risk of MetS gradually increased with the increase of cumPP in the total population. Subgroup analyses based on baseline systolic blood pressure levels showed that higher cumPP levels were associated with a higher risk of developing MetS, regardless of whether systolic blood pressure was abnormal. Conclusions:Elevated cumPP levels is significantly related to the incidence of new-onset MetS. Maintaining pulse pressure within an appropriate range over long term is crucial for the management of MetS.
