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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jianghua He & Daniel McGee & Xufeng Niu & Won Choi, 2009. "Examining the Dynamic Association of BMI and Mortality in the Framingham Heart Study," IJERPH, MDPI, vol. 6(12), pages 1-12, December.
    • Handle: RePEc:gam:jijerp:v:6:y:2009:i:12:p:3115-3126:d:6458
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