Association between cumulative exposure to ideal cardiovascular health and arterial stiffness

Zheng, Xiaoming; Zhang, Ruiying; Liu, Xiaoxue; Zhao, Haiyan; Liu, Hong‐Min; Gao, Jingsheng; Wu, Yuntao; Wu, Shouling

doi:10.1016/j.atherosclerosis.2017.03.018

Cited by 26 publications

(25 citation statements)

References 42 publications

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“…In a random sample of 1000 participants, 24-hour natriuresis was measured to determine the correlation with self-reported use of salt. The correlation was high (r=0.78), indicating that self-reported use of salt was associated with actual salt intake in this study [21,22].…”

Section: Methodsmentioning

confidence: 95%

Association Between Body Mass Index (BMI) and Brachial-Ankle Pulse Wave Velocity (baPWV) in Males with Hypertension: A Community-Based Cross-Section Study in North China

et al. 2019

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Background The aim of this study was to investigate the association between body mass index (BMI) and brachial-ankle pulse wave velocity (baPWV) in hypertensive males. Material/Methods Altogether, 14 866 male hypertensive participants were included in the analysis. Participants were divided into 3 groups: low BMI group (BMI <24 kg/m 2 ), moderate BMI group (24 kg/m 2 ≤BMI <28 kg/m 2 ), and high BMI group (BMI ≥28 kg/m 2 ). According to baPWV values, arteriosclerosis (AS) was set as 3 degrees: mild AS (baPWV ≥1400 cm/s), moderate AS (baPWV ≥1700 cm/s) and severe AS (baPWV ≥2000 cm/s). Multivariate logistic regression analysis was used to explore the effect of different BMI groups on different degrees of AS. The multivariate linear regression analysis was used to explore the relationship between BMI and baPWV. Results Among low BMI, moderate BMI, and high BMI groups, the average baPWV values were 1824±401 cm/s, 1758±363 cm/s, and 1686±341 cm/s, respectively. Prevalence in the mild, moderate and high BMI groups were 91.0%, 87.8%, 81.5%, respectively for mild AS; 55.3%, 48.8%, and 40.0% respectively for moderate AS; and 25.9%, 20.2%, and 14.9% respectively for severe AS. Compared to the low BMI group, multivariate logistic regression analysis showed that odds ratio (OR) and 95% confidence intervals (95%CI) in the moderate BMI group and the high BMI were 0.71 (95%Cl, 0.62–0.80), 0.43 (95%Cl, 0.38–0.50) for mild AS; and similar trends were shown for moderate AS and severe AS. Based on age-stratification, a negative relationship remained for 35–55 years old participants for different degrees of AS among the moderate BMI group and the high BMI group. A negative relationship was detected between BMI and baPWV in total and different age-stages. Conclusions Among male hypertension participants in this study, there was a negative relationship between BMI and baPWV. High BMI was found to be a protective factor for AS especially in the age range of 35–55 years.

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Section: Methodsmentioning

confidence: 95%

Association Between Body Mass Index (BMI) and Brachial-Ankle Pulse Wave Velocity (baPWV) in Males with Hypertension: A Community-Based Cross-Section Study in North China

et al. 2019

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“…The estimated glomerular filtration rate (eGFR) was estimated using the two-race CKD-EPI formula [19]. Females: when serum creatinine (Scr) ≤62 μmol/L, eGFR = 144×(Scr/0.7)-0.329×(0.993)age; when serum creatinine >62 μmol/L, eGFR = 144×(Scr/0.7)-1209×(0.993)age.…”

Section: Methodsmentioning

confidence: 99%

“…The Framingham Heart Study [18] showed that the assessment of the duration and grade of the CVH metrics as measure for the cumulative exposure was more accurate than a cross-sectional analysis in examining the relationship between the CVH metrics and diseases. Meantime, higher CVH cumulative exposure is protective against atherosclerosis, diabetes mellitus, and hypertension [19–22]. Zemaitis et al [23] showed that among patients with atherosclerosis, higher blood pressure cumulative exposure does harm the kidneys.…”

Section: Introductionmentioning

confidence: 99%

Relationship between the exposure to cumulative cardiovascular health behaviors and factors and chronic kidney disease—The Kailuan study

Hou¹,

Li²,

Huang³

et al. 2018

PLoS ONE

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It is unclear whether ideal cardiovascular health (CVH) behaviors and factors, particularly cumulative exposure to ideal CVH (cumCVH), is associated with chronic kidney disease (CKD). The aim of the study was to examine the effect of cumCVH on CKD using the data from the Kailuan study. The study included the 27,970 (21,199 males) of the Kailuan community (China). The participants were 19 to 98 years of age. They were followed in 2008–2009, 2010–2011, and 2012–2013 by the same medical staff that did the initial physical examinations in 2006–2007. Participants were censored on the visit reporting CKD. A CVH score was created based on the seven AHA health metrics. The cumCVH score was CVH1×timev1-v2+CVH2×timev2-v3+CVH3×timev3-v4. In the fully adjusted model, compared with the lowest quintile of cumCVH, individuals in the highest quintile had a 75% lower risk of CKD (95% confidence interval (CI): 66–82%). Every additional year lived with a 1-unit increase in ideal CVH was associated with an 11% (95% CI: 9–13%) reduction in the incidence of CKD. Furthermore, when we excluded each of the six metrics from the cumCVH score in turn, the association was unaffected after the exclusion of individual risk factors. Ideal CVH is associated with a reduced incidence of CKD. Measurements of cumCVH are more likely to reflect the lifetime risk of CKD and possibly of other health outcomes.

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“…Previous studies aimed to examine the association between long-term patterns in the CVH trajectory and follow-up arterial stiffness. 20–23 These studies showed that attainment of ideal CVH typically declined with age, and higher long-term attainment of ideal CVH and improvement in the CVH profile throughout life were associated with low baPWV or cfPWV at follow-up.…”

Section: Discussionmentioning

confidence: 99%

Longitudinal association between cardiovascular health and arterial stiffness in the Chinese adult population

et al. 2021

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Objective Arterial stiffness may be an intermediary biological pathway involved in the association between cardiovascular health (CVH) and cardiovascular disease. We aimed to evaluate the effect of CVH on progression of brachial–ankle pulse wave velocity (baPWV) over approximately 4 years. Methods We included 1315 cardiovascular disease-free adults (49±12 years) who had two checkups from 2010 to 2019. CVH metrics (current smoking, body mass index, total cholesterol, blood pressure, and fasting plasma glucose) were assessed at baseline, and the number of ideal CVH metrics and CVH score were calculated. Additionally, baPWV was examined at baseline and follow-up. Results Median baPWV increased from 1340 cm/s to 1400 cm/s, with an average annual change in baPWV of 15 cm/s. More ideal CVH metrics and a higher CVH score were associated with lower baseline and follow-up baPWV, and the annual change in baPWV, even after adjustment for confounding variables. Associations between CVH parameters and baseline and follow-up baPWV remained robust in different sex and age subgroups, but they were only able to predict the annual change in baPWV in men and individuals older than 50 years. Conclusions Our findings highlight the benefit of a better baseline CVH profile for progression of arterial stiffness.

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Association between cumulative exposure to ideal cardiovascular health and arterial stiffness

Abstract: Exposure to higher cumCVH can prevent the increase in baPWV and reduce the incidence of arterial stiffness.

Cited by 26 publications

References 42 publications

Association Between Body Mass Index (BMI) and Brachial-Ankle Pulse Wave Velocity (baPWV) in Males with Hypertension: A Community-Based Cross-Section Study in North China

Association Between Body Mass Index (BMI) and Brachial-Ankle Pulse Wave Velocity (baPWV) in Males with Hypertension: A Community-Based Cross-Section Study in North China

Relationship between the exposure to cumulative cardiovascular health behaviors and factors and chronic kidney disease—The Kailuan study

Longitudinal association between cardiovascular health and arterial stiffness in the Chinese adult population

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