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[Impact of change of ideal cardiovascular behavior and related factors on healthy vascular aging]
1Department of Cardiology, Kailuan Hospital Affiliated to Hebei United University, Tangshan 063000, China.
Insights
Improving cardiovascular health behaviors positively impacts healthy vascular aging. Even small improvements in factors like diet, exercise, and not smoking are linked to better vascular health outcomes.
Area of Science:
- Cardiovascular Health
- Vascular Aging
- Preventive Medicine
Background:
- Healthy vascular aging (HVA) is crucial for long-term cardiovascular health.
- Understanding the impact of lifestyle changes on vascular health is essential for public health strategies.
Purpose of the Study:
- To investigate how changes in ideal cardiovascular behaviors and related factors influence healthy vascular aging (HVA).
- To identify specific cardiovascular health metrics that contribute to HVA.
Main Methods:
- A multi-center cross-sectional survey of 6,316 participants with at least two health examinations.
- Calculation of cardiovascular health score (CHS) and change in CHS (ΔCHS) between examinations.
- Analysis of brachial-ankle pulse wave velocity (baPWV) and logistic regression to assess the association between ΔCHS and HVA.
Main Results:
- A significant positive association was observed between increased ΔCHS and a higher proportion of participants with HVA (OR=1.50).
- Improvements in systolic blood pressure, fasting blood glucose, physical exercise, salt intake, BMI, smoking status, and total cholesterol were each positively associated with HVA.
Conclusions:
- Improving cardiovascular health behaviors and managing related factors are positively associated with achieving healthy vascular aging.
- Each component of cardiovascular health metrics plays a role in promoting HVA.
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.
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