Examining the Dynamic Association of BMI and Mortality in the Framingham Heart Study

Jianghua He, Daniel McGee, Xufeng Niu and Won Choi
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Jianghua He: Department of Biostatistics,University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA
Daniel McGee: Department of Statistics, Florida State University,117 N. Woodward Ave. P.O. Box 3064330, Tallahassee, FL, 32306-4330, USA
Xufeng Niu: Department of Statistics, Florida State University,117 N. Woodward Ave. P.O. Box 3064330, Tallahassee, FL, 32306-4330, USA
Won Choi: Department of Preventive Medicine and Public Health, University of Kansas Medical Center, Mail Stop 1008, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA

IJERPH, 2009, vol. 6, issue 12, 1-12

Abstract: Based on the 40-year follow-up of the Framingham Heart Study (FHS), we used logistic regression models to demonstrate that different designs of an observational study may lead to different results about the association between BMI and all-cause mortality. We also used dynamic survival models to capture the time-varying relationships between BMI and mortality in FHS. The results consistently show that the association between BMI and mortality is dynamic, especially for men. Our analysis suggests that the dynamic property may explain part of the heterogeneity observed in the literature about the association of BMI and mortality.

Keywords: body mass index; mortality; time-varying association; dynamic survival models (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2009
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