Multiple risk factors and population attributable risk for ischemic heart disease mortality in the United States, 1971-1992

被引:40
作者
Chang, MH
Hahn, RA
Teutsch, SM
Hutwagner, LC
机构
[1] Ctr Dis Control & Prevent, Epidemiol Program Off, Div Publ Hlth Surveillance & Informat, Atlanta, GA 30341 USA
[2] Ctr Dis Control & Prevent, Epidemiol Program Off, Div Prevent Res & Analyt Methods, Atlanta, GA 30341 USA
[3] Merck & Co Inc, West Point, PA 19486 USA
关键词
ischemic heart disease; population-attributable risk; risk factors; mortality; relative risk; multivariable models;
D O I
10.1016/S0895-4356(00)00343-7
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The objective of this study was to assess the associations and population attributable risks (PAR) of risk factor combinations and ischemic heart disease (IHD) mortality in the United States. We used logistic regression models to assess the association of risk factors with IHD in the First National Health and Nutrition Examination Survey (1971-1974) and Epidemiologic Follow-up Study (1982-1992) among white and black men and women. We examined eight modifiable risk factors: hypertension, elevated serum cholesterol, diabetes, overweight, current smoking, physical inactivity, depression, and nonuse of replacement hormones. Risk factors associated with IHD mortality were the same among white and black men (i.e., age, education, smoking, diabetes, hypertension, and serum cholesterol). Age, education, smoking, diabetes, and hypertension were the risk factors among white and black women. Physical inactivity, nonuse of replacement hormones, serum cholesterol, and overweight were the additional risk factors among white women. Adjusted for demographic risk factors, overall PARs for study risk factors were 41.2% for white men, 60.5% for white women (with five risk factors only), 49.2% for black men, and 71.2% for black women. Much IHD mortality attributable to individual risk factors is caused by those factors in combination with other risk factors; relatively little mortality is attributable to each risk factor in isolation. Analysis that does not examine risk factor combinations may greatly overestimate PARs associated with individual risk factors. (C) 2001 Elsevier Science Inc. All rights reserved.
引用
收藏
页码:634 / 644
页数:11
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