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AJPH First Look, published online ahead of print Aug 30, 2005
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A Semiparametric Analysis of the Relationship of Body Mass Index to Mortality

Jerome Timothy Gronniger, MPP, MHSA

The author is with the Congressional Budget Office, Washington, DC.



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FIGURE 1— Relative risks of mortality in 1995 among US adults 18 to 64 years of age in 1987 or 1989 with 95% confidence intervals, by body mass index (BMI) category, calculated from self-reported data on height and weight.

Note. Data were derived from the National Health Interview Survey 1987 Cancer Control Supplement File, 1989 Diabetes Supplement File, and 1995 Multiple Cause of Death File.2326 Analyses were limited to respondents aged between 18 and 64 years with available mortality, BMI, and smoking information. Data were weighted according to basic annual sampling weights. The BMI 20 to 25 category was the reference category (relative risk = 1).

 


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FIGURE 2— Histogram of body mass index derived from self-reported height and weight data: adult US civilian, noninstitutionalized population, 2002.

Note. Data were derived from the 2002 National Health Interview Survey Sample Adult File.2326 Estimates were obtained from nonparametrically smoothed densities multiplied by sums of basic sample adult weights for 2002.

 


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FIGURE 3— Semiparametric mortality estimates for 1995, by gender and body mass index (BMI), derived from self-reported height and weight: US adults aged 18 to 64 years in 1987 or 1989.

Note. Data were derived from the National Health Interview Survey 1987 Cancer Control Supplement File, 1989 Diabetes Supplement File, and 1995 Multiple Cause of Death File.2326 Plots represent predictions for an average individual at a given BMI according to semiparametric regression results (bandwidth = 0.15). All covariates other than BMI were treated parametrically. Analyses were limited to respondents aged between 18 and 64 years with available mortality, BMI, and smoking information. All mortality estimates were adjusted, via stratification, for race, age, limited smoking history, education level, income level, and marital status.

 





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