Examining the dynamic association of BMI and mortality in the Framingham Heart Study.

Pubmed ID: 20049250

Pubmed Central ID: PMC2800338

Journal: International journal of environmental research and public health

Publication Date: Dec. 1, 2009

Affiliation: Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA. jhe@kumc.edu

MeSH Terms: Humans, Male, Adult, Female, Aged, Aged, 80 and over, Cardiovascular Diseases, Odds Ratio, United States, Logistic Models, Middle Aged, Massachusetts, Survival Analysis, Body Mass Index, Risk Assessment, Proportional Hazards Models, Models, Statistical, Prospective Studies, Time Factors, Epidemiologic Studies, Survivors

Authors: He J, McGee D, Niu X, Choi W

Cite As: He J, McGee D, Niu X, Choi W. Examining the dynamic association of BMI and mortality in the Framingham Heart Study. Int J Environ Res Public Health 2009 Dec;6(12):3115-26. Epub 2009 Dec 7.

Studies:

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.