Association between the accumulation of metabolic syndrome abnormal components and arterial pulse wave velocity among adult individuals undergoing routine health examination
10.3760/cma.j.issn.0253-3758.2018.10.009
- VernacularTitle: 代谢综合征组分异常积聚与肱踝动脉脉搏波传导速度的关系
- Author:
Wenhua ZHU
1
;
Liying CHEN
;
Chongrong LU
;
Lin SU
;
Lizheng FANG
Author Information
1. Department of General Medicine, Sir Run Run Shaw Hospital and Institute of Clinical Medicine, Zhejiang University School of Medicine, Hangzhou 310016, China
- Publication Type:Journal Article
- Keywords:
Metabolic syndrome X;
Brachial ankle pulse wave velocity
- From:
Chinese Journal of Cardiology
2018;46(10):810-817
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the association between the accumulation of metabolic syndrome (MS) components and abnormal brachial ankle pulse wave velocity (baPWV), and to investigate the effect of accumulation of abnormal metabolic components on abnormal baPWV among adult individuals undergoing routine health examination.
Methods:It's a cross-sectional study. Data from 9 201 stratified sampled subjects, aged between 25 to 75 years old, who took part in the annual health checkups in 11 cities of Zhejiang Province from January to December 2016, were analyzed. Blood pressure(BP), fasting plasma glucose(FPG), waist circumference(WC), triglyceride(TG), high-density lipoprotein cholesterols(HDL-C) were defined as MS components. The baPWV was measured by VP-1000 (BP-203RPE Ⅲ) and ΔbaPWV (measured baPWV-reference baPWV/reference baPWV) ×100 (%)> 10% was defined as abnormal. The relationship between MS components and ΔbaPWV was analyzed by linear regression, and impact of accumulation of MS components on ΔbaPWV was analyzed by logistic regression, and the ΔbaPWV in subjects with different levels of MS components were analyzed by analysis of variance.
Results:(1) The linear regression analysis demonstrated a positive correlation between ΔbaPWV and MS components including systolic blood pressure, diastolic blood pressure, WC, FPG, TG, while ΔbaPWV was negatively correlated with HDL-C. The β values were 0.518, 0.616, 0.208, 2.778, 1.862, -1.339, respectively (all P<0.001), indicating a strong association between ΔbaPWV and systolic blood pressure, diastolic blood pressure, and FPG. (2) The logistic regression analysis showed that the proportion of abnormal ΔbaPWV was 2.595 times higher in MS individuals than in non-MS individuals (P<0.001). Abnormal ΔbaPWV increased in proportion with increase in numbers of the metabolic components (OR=1.913, 2.884, 3.833, 6.161, 11.176 in individuals with 1,2,3,4,5 metabolic components, respectively, all P<0.001). (3) The logistic analysis suggested that each component of MS could affect baPWV,and OR was 4.68, 2.45 for systolic blood pressure and/or diastolic blood pressure and FPG. All combinations of 2 components of MS also significantly affected baPWV,and OR value was the highest (5.104(95%CI 4.281-6.085), P<0.001) for FPG+BP. All combinations of 3 components of MS significantly affected baPWV,and OR value was the highest(5.385(95%CI 4.245-6.831), P<0.001) for BP+FPG+TG. All combinations of 4 components of MS affected baPWV,and OR value was the highest (6.519(95%CI 4.731-8.984), P<0.001) for BP+FPG+WC+TG. (4) Finally, every component of MS was divided into 3 levels, their impact on abnormal ΔbaPWV was analyzed. Prevalence of abnormal ΔbaPWV significantly increased with the increasing levels of the metabolic components expect for HDL-C, the F values were 1 224.66, 832.89, 192.72, 112.79 and 56.22, respectively (all P<0.001), indicating that higher levels of metabolic components significantly affected the ΔbaPWV.
Conclusions:MS and accumulation of abnormal MS components are closely related with abnormal ΔbaPWV, and the combination of BP and FPG have the greatest impact on the abnormal ΔbaPWV. Analysis on the accumulation of MS components might serve as an early indicator of arteriosclerosis.
