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Body Mass Index and Mortality: A 10-Year Prospective Study in China
Although several studies have evaluated the role of body weight as a risk factor for mortality, most studies have been conducted in Western populations and the findings remain controversial. We performed a prospective study to examine the association between body mass index (BMI) and all-cause morta...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992855/ https://www.ncbi.nlm.nih.gov/pubmed/27546611 http://dx.doi.org/10.1038/srep31609 |
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author | Wang, Jian-Bing Gu, Meng-Jia Shen, Peng Huang, Qiu-Chi Bao, Chen-Zheng Ye, Zhen-Hua Wang, You-Qing Mayila, Mamat Ye, Ding Gu, Shi-Tong Lin, Hong-Bo Chen, Kun |
author_facet | Wang, Jian-Bing Gu, Meng-Jia Shen, Peng Huang, Qiu-Chi Bao, Chen-Zheng Ye, Zhen-Hua Wang, You-Qing Mayila, Mamat Ye, Ding Gu, Shi-Tong Lin, Hong-Bo Chen, Kun |
author_sort | Wang, Jian-Bing |
collection | PubMed |
description | Although several studies have evaluated the role of body weight as a risk factor for mortality, most studies have been conducted in Western populations and the findings remain controversial. We performed a prospective study to examine the association between body mass index (BMI) and all-cause mortality in Yinzhou District, Ningbo, China. At baseline, 384,533 subjects were recruited through the Yinzhou Health Information System between 2004 and 2009. The final analysis was restricted to 372,793 participants (178,333 men and 194,460 women) aged 18 years and older. Cox proportional hazards models were used to estimate hazard ratios(HRs) and 95% confidence intervals(CIs). We found an increased risk of all-cause mortality among individuals with BMI levels <22.5–24.9, although several groups were not statistically significant—adjusted HRs for persons with BMIs of <15.0, 15.0–17.4, 17.5–19.9, and 20.0–22.4 were 1.61(95% CI: 1.17–2.23), 1.07(0.94–1.20), 1.04(0.98–1.10), 1.06(1.02–1.11), respectively. In the upper BMI range, subjects with BMIs of 25.0–34.9 had a reduced risk of all-cause mortality. Sensitivity analyses excluding smokers, those with prevalent chronic disease or those with less than four years of follow-up did not materially alter these results. Our findings provide evidence for an inverse association of BMI and mortality in this population. |
format | Online Article Text |
id | pubmed-4992855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49928552016-08-30 Body Mass Index and Mortality: A 10-Year Prospective Study in China Wang, Jian-Bing Gu, Meng-Jia Shen, Peng Huang, Qiu-Chi Bao, Chen-Zheng Ye, Zhen-Hua Wang, You-Qing Mayila, Mamat Ye, Ding Gu, Shi-Tong Lin, Hong-Bo Chen, Kun Sci Rep Article Although several studies have evaluated the role of body weight as a risk factor for mortality, most studies have been conducted in Western populations and the findings remain controversial. We performed a prospective study to examine the association between body mass index (BMI) and all-cause mortality in Yinzhou District, Ningbo, China. At baseline, 384,533 subjects were recruited through the Yinzhou Health Information System between 2004 and 2009. The final analysis was restricted to 372,793 participants (178,333 men and 194,460 women) aged 18 years and older. Cox proportional hazards models were used to estimate hazard ratios(HRs) and 95% confidence intervals(CIs). We found an increased risk of all-cause mortality among individuals with BMI levels <22.5–24.9, although several groups were not statistically significant—adjusted HRs for persons with BMIs of <15.0, 15.0–17.4, 17.5–19.9, and 20.0–22.4 were 1.61(95% CI: 1.17–2.23), 1.07(0.94–1.20), 1.04(0.98–1.10), 1.06(1.02–1.11), respectively. In the upper BMI range, subjects with BMIs of 25.0–34.9 had a reduced risk of all-cause mortality. Sensitivity analyses excluding smokers, those with prevalent chronic disease or those with less than four years of follow-up did not materially alter these results. Our findings provide evidence for an inverse association of BMI and mortality in this population. Nature Publishing Group 2016-08-22 /pmc/articles/PMC4992855/ /pubmed/27546611 http://dx.doi.org/10.1038/srep31609 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wang, Jian-Bing Gu, Meng-Jia Shen, Peng Huang, Qiu-Chi Bao, Chen-Zheng Ye, Zhen-Hua Wang, You-Qing Mayila, Mamat Ye, Ding Gu, Shi-Tong Lin, Hong-Bo Chen, Kun Body Mass Index and Mortality: A 10-Year Prospective Study in China |
title | Body Mass Index and Mortality: A 10-Year Prospective Study in China |
title_full | Body Mass Index and Mortality: A 10-Year Prospective Study in China |
title_fullStr | Body Mass Index and Mortality: A 10-Year Prospective Study in China |
title_full_unstemmed | Body Mass Index and Mortality: A 10-Year Prospective Study in China |
title_short | Body Mass Index and Mortality: A 10-Year Prospective Study in China |
title_sort | body mass index and mortality: a 10-year prospective study in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992855/ https://www.ncbi.nlm.nih.gov/pubmed/27546611 http://dx.doi.org/10.1038/srep31609 |
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