Impact of change of ideal cardiovascular behavior and related factors on healthy vascular aging
10.3760/cma.j.issn.0253-3758.2020.01.008
- VernacularTitle: 理想心血管健康行为与因素变化对健康老龄血管的影响
- Author:
Chenrui ZHU
1
;
Xin DU
1
;
Yan LIU
1
;
Quanhui ZHAO
1
;
Jihong SHI
1
;
Yuntao WU
1
;
Xiaoming WEI
1
;
Huiying LI
1
;
Liming LIN
1
;
Shouling WU
1
;
Zhe HUANG
1
Author Information
1. Department of Cardiology, Kailuan Hospital Affiliated to Hebei United University, Tangshan 063000, China
- Publication Type:Journal Article
- Keywords:
Arteriosclerosis;
Ideal cardiovascular behavior and factors;
Healthy vascular aging
- From:
Chinese Journal of Cardiology
2020;48(1):66-71
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the impact of change of ideal cardiovascular behavior and related factors on healthy vascular aging(HVA).
Methods:This study was a multi-center cross-sectional survey. Six thousand three hundred and sixteen participants who underwent at least 2 healthy examinations from 2006 to 2015 at 11 hospitals, including Kailuan Hospital and so on, and examined brachial-ankle pulse wave velocity (baPWV) during 2010 and 2016, with available information about cardiovascular behavior and factors were included. The cardiovascular health score (CHS) was calculated. Basic CHS was collected from the first examination. The second CHS derived from the healthy examination in the same year of baPWV examination. Change of cardiovascular health score (ΔCHS) was calculated. Participants were defined into 5 groups according to ΔCHS, namely ΔCHS≤-2 (n=2 166), ΔCHS=-1 (n=1 284), ΔCHS=0 (n=1 187), ΔCHS=1 (n=860), and ΔCHS≥2 (n=819). Participants′ characteristics, value of baPWV and proportion of HVA were compared among different groups. Multiple logistic regression analysis was used to investigate the association between ΔCHS and HVA. The ΔCHS was recalculated and included in multiple logistic regression analysis model again after each component of the cardiovascular health metrics was removed separately in order to investigate effects of removal factors on HVA by observing changes in effect values.
Results:The percentage of the participants with HVA in the group of ΔCHS≤-2, ΔCHS=-1, ΔCHS=0, ΔCHS=1 and ΔCHS≥2 were 23.3%(505/2 166), 27.8%(357/1 284), 28.7%(341/1 187),31.9%(274/860) and 33.9%(278/819), respectively. After adjustment for age, sex, income, education, alcohol consumption and the basic CHS, a significant positive association between ΔCHS and proportion of participants with HVA was observed (OR=1.50, 95%CI 1.44-1.56). Multiple regression analysis after removing each single cardiovascular behavior or factor showed that the OR value decreased as follow systolic blood pressure (OR=1.04, 95%CI 1.00-1.09), fasting blood glucose (OR=1.14, 95%CI 1.09-1.18), physical exercise (OR=1.16, 95%CI 1.11-1.21), salt intake (OR=1.17, 95%CI 1.12-1.22), body mass index (OR=1.18, 95%CI 1.13-1.23), smoking(OR=1.18, 95%CI 1.13-1.23) and total cholesterol (OR=1.20, 95%CI 1.16-1.24).
Conclusion:The improvement of every ideal cardiovascular behavior and factor is associated with the increase of the proportion of HVA population.
