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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 capt...

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Detalles Bibliográficos
Autores principales: He, Jianghua, McGee, Daniel, Niu, Xufeng, Choi, Won
Formato: Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2800338/
https://www.ncbi.nlm.nih.gov/pubmed/20049250
http://dx.doi.org/10.3390/ijerph6123115
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author He, Jianghua
McGee, Daniel
Niu, Xufeng
Choi, Won
author_facet He, Jianghua
McGee, Daniel
Niu, Xufeng
Choi, Won
author_sort He, Jianghua
collection PubMed
description 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.
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spelling pubmed-28003382010-01-04 Examining the Dynamic Association of BMI and Mortality in the Framingham Heart Study He, Jianghua McGee, Daniel Niu, Xufeng Choi, Won Int J Environ Res Public Health Article 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. Molecular Diversity Preservation International (MDPI) 2009-12 2009-12-07 /pmc/articles/PMC2800338/ /pubmed/20049250 http://dx.doi.org/10.3390/ijerph6123115 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
He, Jianghua
McGee, Daniel
Niu, Xufeng
Choi, Won
Examining the Dynamic Association of BMI and Mortality in the Framingham Heart Study
title Examining the Dynamic Association of BMI and Mortality in the Framingham Heart Study
title_full Examining the Dynamic Association of BMI and Mortality in the Framingham Heart Study
title_fullStr Examining the Dynamic Association of BMI and Mortality in the Framingham Heart Study
title_full_unstemmed Examining the Dynamic Association of BMI and Mortality in the Framingham Heart Study
title_short Examining the Dynamic Association of BMI and Mortality in the Framingham Heart Study
title_sort examining the dynamic association of bmi and mortality in the framingham heart study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2800338/
https://www.ncbi.nlm.nih.gov/pubmed/20049250
http://dx.doi.org/10.3390/ijerph6123115
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