Association between ideal cardiovascular health metrics and risk of cardiovascular events or mortality: A meta‐analysis of prospective studies

Background Observational studies evaluating the relationship between ideal cardiovascular health (CVH) metrics and risk of cardiovascular (CV) events and mortality yielded inconsistent results. Hypothesis Improvement in CVH metrics can result in substantial reductions in the risk of cardiovascular d...

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Vydané v:Clinical cardiology (Mahwah, N.J.) Ročník 40; číslo 12; s. 1339 - 1346
Hlavní autori: Guo, Leilei, Zhang, Shangshu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Wiley Periodicals, Inc 01.12.2017
John Wiley & Sons, Inc
Predmet:
Cardiovascular Diseases - epidemiology
Cardiovascular Diseases - physiopathology
Cardiovascular Events
Clinical Investigations
Exercise - physiology
Global Health
Health risk assessment
Health Status
Humans
Ideal Cardiovascular Health Metrics
Incidence
Meta-analysis
Mortality
Prospective Studies
Risk Factors
Stroke
Survival Rate - trends
Meta-Analysis
Cardiovascular Events
Mortality
Ideal Cardiovascular Health Metrics
ISSN:0160-9289, 1932-8737, 1932-8737
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Shrnutí:Background Observational studies evaluating the relationship between ideal cardiovascular health (CVH) metrics and risk of cardiovascular (CV) events and mortality yielded inconsistent results. Hypothesis Improvement in CVH metrics can result in substantial reductions in the risk of cardiovascular disease (CVD), stroke, and mortality. Methods We examined associations between ideal CVH metrics and CV events and mortality by conducting a meta‐analysis of data from prospective cohort studies identified by searching PubMed and Web of Science from their inception to February 2017 and reviewing the reference lists of the retrieved articles. Results Thirteen prospective studies involving a total of 193 126 cohort members were included in this meta‐analysis. When comparing the most to the least category of ideal CVH metrics, the overall relative risks (RRs) were 0.54 (95% confidence interval [CI]: 0.41‐0.69) for all‐cause mortality, 0.30 (95% CI: 0.18‐0.51) for CV mortality, 0.22 (95% CI: 0.11‐0.42) for CVD, and 0.33 (95% CI: 0.20‐0.55) for stroke, respectively. A linear dose–response relationship was seen in all‐cause and CV mortality. The risk decreased by 11% and 19% for each increase in ideal CVH metrics. For the analyses of ideal health status in relation to all‐cause and CV mortality, significant results were obtained from smoking, diet, physical activity, plasma glucose levels, and blood pressure. Conclusions Ideal CVH status, or even 1 point increase in CVH metrics, can result in substantial reductions in the risk of CVD, stroke, and mortality. Improving metrics of smoking, diet, physical activity, plasma glucose levels, and blood pressure will achieve the highest benefits.
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ObjectType-Evidence Based Healthcare-1
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ISSN:0160-9289
1932-8737
1932-8737
DOI:10.1002/clc.22836