Estimation of contribution of changes in classic risk factors to trends in coronary-event rates across the WHO MONICA Project populations

被引:692
作者
Kuulasmaa, K
Tunstall-Pedoe, H
Dobson, A
Fortmann, S
Sans, S
Tolonen, H
Evans, A
Ferrario, M
Tuomilehto, J
机构
[1] Natl Publ Hlth Inst, Dept Epidemiol & Hlth Promot, FIN-00300 Helsinki, Finland
[2] Univ Dundee, Ninewells Hosp & Med Sch, Cardiovasc Epidemiol Unit, MONICA Qual Control Ctr Event Registrat, Dundee DD1 9SY, Scotland
[3] Univ Newcastle, Dept Stat, Newcastle, NSW 2308, Australia
[4] Stanford Univ, Stanford Ctr Res Dis Prevent, Stanford, CA 94305 USA
[5] Dept Hlth & Social Secur, Inst Hlth Studies, Barcelona, Spain
[6] Queens Univ Belfast, Dept Epidemiol & Publ Hlth, Belfast, Antrim, North Ireland
[7] Univ Milano Bicocca, Fac Med, Monza, Italy
[8] Osped San Gerardo, Monza, Italy
关键词
D O I
10.1016/S0140-6736(99)11180-2
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background From the mid-1980s to mid-1990s, the WHO MONICA Project monitored coronary events and classic risk factors for coronary heart disease (CHD) in 38 populations from 21 countries. We assessed the extent to which changes in these risk factors explain the variation in the trends in coronary-event rates across the populations. Methods In men and women aged 35-64 years, non-fatal myocardial infarction and coronary deaths were registered continuously to assess trends in rates of coronary events. We carried out population surveys to estimate trends in risk factors. Trends in event rates were regressed on trends in risk score and in individual risk factors. Findings Smoking rates decreased in most male populations but trends were mixed in women; mean blood pressures and cholesterol concentrations decreased, body-mass index increased, and overall risk scores and coronary-event rates decreased. The model of trends in 10-year coronary-event rates against risk scores and single risk factors showed a poor fit, but this was improved with a 4-year time lag for coronary events. The explanatory power of the analyses was limited by imprecision of the estimates and homogeneity of trends in the study populations. Interpretation Changes in the classic risk factors seem to partly explain the variation in population trends in CHD. Residual variance is attributable to difficulties in measurement and analysis, including time lag, and to factors that were not included, such as medical interventions. The results support prevention policies based on the classic risk factors but suggest potential for prevention beyond these.
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页码:675 / 687
页数:13
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