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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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2009
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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. |
format | Text |
id | pubmed-2800338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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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