[Impact of change of ideal cardiovascular behavior and related factors on healthy vascular aging].

[Impact of change of ideal cardiovascular behavior and related factors on healthy vascular aging].

Zhu, C R;Du, X;Liu, Y;Zhao, Q H;Shi, J H;Wu, Y T;Wei, X M;Li, H Y;Lin, L M;Wu, S L;Huang, Z;
zhonghua xin xue guan bing za zhi 2020 Vol. 48 pp. 66-71
204
zhu2020impactzhonghua

Abstract

To investigate the impact of change of ideal cardiovascular behavior and related factors on healthy vascular aging(HVA). 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 (2 166), ΔCHS=-1 (1 284), ΔCHS=0 (1 187), ΔCHS=1 (860), and ΔCHS≥2 (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. 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 (1.50, 95 1.44-1.56). Multiple regression analysis after removing each single cardiovascular behavior or factor showed that the value decreased as follow systolic blood pressure (1.04, 95 1.00-1.09), fasting blood glucose (1.14, 95 1.09-1.18), physical exercise (1.16, 95 1.11-1.21), salt intake (1.17, 95 1.12-1.22), body mass index (1.18, 95 1.13-1.23), smoking(1.18, 95 1.13-1.23) and total cholesterol (1.20, 95 1.16-1.24). The improvement of every ideal cardiovascular behavior and factor is associated with the increase of the proportion of HVA population.

Citation

ID: 90609
Ref Key: zhu2020impactzhonghua
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
90609
Unique Identifier:
10.3760/cma.j.issn.0253-3758.2020.01.008
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet