Over the past 25 year, community interventions to reduce cardiovascular disease (CVD) have been conducted around the world with very mixed results.
This study uses meta-analysis to assess whether the variation in the observed effectiveness of community heart health programs (CHHP) is related to characteristics of the intervention program, the population under study, or the evaluation methods.
A CHHP is defined as any primary prevention program that attempted to reduce the population burden of CVD by shifting the distribution of risk factors in a general population.
To be included in the meta-analysis, a study must have utilized a reference group in the evaluation, employed a repeated independent cross-sectional measurement design, and reported sufficient outcome information for at least one of four major risk factors : smoking, total cholesterol, blood pressure, and body weight.
Results of these studies are summarized with the effect size measure ( (Yi1 - Yi2) - (Yi1 - Yi2)) SrIwhere Y=outcome measure, S=standard deviation of the outcome measure, 1=baseline, 2=follow-up. i=intervention, and r=reference community.
This measure, which reports the net change in the intervention group in terms of the variability in the reference population before the start of the intervention, permits comparison across different outcome measures and facilitates the aggregation of effects across studies.
Generalized least squares regression. (...)
Mots-clés Pascal : Cardiopathie, Prévention, Facteur risque, Homme, Métaanalyse, Evaluation, Programme sanitaire, Analyse statistique, Appareil circulatoire pathologie, Santé communautaire
Mots-clés Pascal anglais : Heart disease, Prevention, Risk factor, Human, Metaanalysis, Evaluation, Sanitary program, Statistical analysis, Cardiovascular disease, Community health
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0289925
Code Inist : 002B30A03A. Création : 15/07/1997.