Examining the dynamic association of BMI and mortality in the Framingham Heart Study.
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.
He
Jianghua
J
Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA. jhe@kumc.edu
McGee
Daniel
D
Niu
Xufeng
X
Choi
Won
W
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000401:mortality*; D016021:Epidemiologic Studies; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008404:Massachusetts / Q000453:epidemiology; D008875:Middle Aged; D015233:Models, Statistical; D016017:Odds Ratio; D016016:Proportional Hazards Models; D011446:Prospective Studies; D018570:Risk Assessment; D016019:Survival Analysis; D017741:Survivors; D013997:Time Factors; D014481:United States / Q000453:epidemiology