
BackgroundObservational studies evaluating the relationship between ideal cardiovascular health (CVH) metrics and risk of cardiovascular (CV) events and mortality yielded inconsistent results.HypothesisImprovement in CVH metrics can result in substantial reductions in the risk of cardiovascular disease (CVD), stroke, and mortality.MethodsWe 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.ResultsThirteen 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.ConclusionsIdeal 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.
Survival Rate, Cardiovascular Diseases, Risk Factors, Health Status, Incidence, Humans, Prospective Studies, Global Health, Exercise
Survival Rate, Cardiovascular Diseases, Risk Factors, Health Status, Incidence, Humans, Prospective Studies, Global Health, Exercise
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 134 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
