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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| Vydáno v: | Clinical cardiology (Mahwah, N.J.) Ročník 40; číslo 12; s. 1339 - 1346 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York
Wiley Periodicals, Inc
01.12.2017
John Wiley & Sons, Inc |
| Témata: | |
| ISSN: | 0160-9289, 1932-8737, 1932-8737 |
| On-line přístup: | Získat plný text |
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| Abstract | 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. |
|---|---|
| AbstractList | Observational studies evaluating the relationship between ideal cardiovascular health (CVH) metrics and risk of cardiovascular (CV) events and mortality yielded inconsistent results.
Improvement in CVH metrics can result in substantial reductions in the risk of cardiovascular disease (CVD), stroke, and mortality.
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.
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.
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. Observational studies evaluating the relationship between ideal cardiovascular health (CVH) metrics and risk of cardiovascular (CV) events and mortality yielded inconsistent results.BACKGROUNDObservational studies evaluating the relationship between ideal cardiovascular health (CVH) metrics and risk of cardiovascular (CV) events and mortality yielded inconsistent results.Improvement in CVH metrics can result in substantial reductions in the risk of cardiovascular disease (CVD), stroke, and mortality.HYPOTHESISImprovement in CVH metrics can result in substantial reductions in the risk of cardiovascular disease (CVD), stroke, and mortality.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.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.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.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.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.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. 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. 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. |
| Author | Zhang, Shangshu Guo, Leilei |
| AuthorAffiliation | 1 Section of Infection Control Zhengzhou Central Hospital Affiliated to Zhengzhou University Zhengzhou China 2 Department of Disease Control and Prevention Zhengzhou Central Hospital Affiliated to Zhengzhou University Zhengzhou China |
| AuthorAffiliation_xml | – name: 2 Department of Disease Control and Prevention Zhengzhou Central Hospital Affiliated to Zhengzhou University Zhengzhou China – name: 1 Section of Infection Control Zhengzhou Central Hospital Affiliated to Zhengzhou University Zhengzhou China |
| Author_xml | – sequence: 1 givenname: Leilei orcidid: 0000-0003-2851-1876 surname: Guo fullname: Guo, Leilei email: gll19890429@163.com organization: Zhengzhou Central Hospital Affiliated to Zhengzhou University – sequence: 2 givenname: Shangshu surname: Zhang fullname: Zhang, Shangshu organization: Zhengzhou Central Hospital Affiliated to Zhengzhou University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29278429$$D View this record in MEDLINE/PubMed |
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Observational studies evaluating the relationship between ideal cardiovascular health (CVH) metrics and risk of cardiovascular (CV) events and... Observational studies evaluating the relationship between ideal cardiovascular health (CVH) metrics and risk of cardiovascular (CV) events and mortality... Background Observational studies evaluating the relationship between ideal cardiovascular health (CVH) metrics and risk of cardiovascular (CV) events and... |
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| SubjectTerms | 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 |
| Title | Association between ideal cardiovascular health metrics and risk of cardiovascular events or mortality: A meta‐analysis of prospective studies |
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