Literature DB >> 22080525

Public health significance of four cardiovascular risk factors assessed 25 years ago in a low prevalence country.

David Faeh1, Julia Braun, Silvan Tarnutzer, Matthias Bopp.   

Abstract

BACKGROUND: The individual and combined effect of cardiovascular disease (CVD) risk factors (RFs) on CVD mortality varies between populations. Our aim was to examine this association and its public health impact in Switzerland, a country with comparably low CVD mortality.
METHODS: We included 9853 men and women aged 25-74 years who participated in the Swiss MONICA (MONItoring of trends and determinants in CArdiovascular disease) study (1983-1992) and were followed up for survival until 2008. Adjusted Cox regression was used to calculate CVD mortality hazard ratios (HR). CVD-RFs were obesity (body mass index ≥ 30 kg/m(2)), smoking (≥ 1 cig/d), high blood pressure (≥ 140 or ≥ 90 mmHg), and total: high-density lipoprotein cholesterol ratio (≥ 5.0). Besides age and sex, models were adjusted for diet, physical activity, educational class, marital status, and the respective other CVD-RFs.
RESULTS: After adjustment for age and sex, the HR of CVD death was for obesity 1.86 (95% CI 1.50-2.31), for smoking 1.63 (95% CI 1.32-2.01), for high blood pressure 1.42 (95% CI 1.16-1.73), and for high cholesterol ratio 1.30 (95% CI 1.06-1.60). Adjustment for other covariates moderately attenuated estimates. CVD-RFs had an independent and synergistic effect and accounted for 43.0% of population attributable risk. The presence of all four compared to zero CVD-RFs was associated with a 9.6 years shorter expected survival for a man aged 50.
CONCLUSIONS: Most CVD deaths could be avoided by prevention of four traditional CVD-RFs. Reduction of smoking prevalence and avoidance of weight gain in the population are the most effective measures. Particular attention should be dedicated to persons with multiple CVD-RFs.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22080525     DOI: 10.1177/1741826711430282

Source DB:  PubMed          Journal:  Eur J Prev Cardiol        ISSN: 2047-4873            Impact factor:   7.804


  3 in total

Review 1.  Estimating population attributable fractions to quantify the health burden of obesity.

Authors:  Katherine M Flegal; Orestis A Panagiotou; Barry I Graubard
Journal:  Ann Epidemiol       Date:  2014-11-13       Impact factor: 3.797

2.  Population specific and up to date cardiovascular risk charts can be efficiently obtained with record linkage of routine and observational data.

Authors:  David Faeh; Julia Braun; Kaspar Rufibach; Milo A Puhan; Pedro Marques-Vidal; Matthias Bopp
Journal:  PLoS One       Date:  2013-02-14       Impact factor: 3.240

3.  Blood glucose may be an alternative to cholesterol in CVD risk prediction charts.

Authors:  Julia Braun; Matthias Bopp; David Faeh
Journal:  Cardiovasc Diabetol       Date:  2013-01-25       Impact factor: 9.951

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.