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Inverse association between body mass index and all-cause mortality in rural chinese adults: 15-year follow-up of the Anqing cohort study
OBJECTIVE: To investigate the association between body mass index (BMI) and all-cause mortality in a Chinese rural population. DESIGN: Prospective cohort study. SETTING: This study was conducted from 2003 to 2018 in Anqing, Anhui Province, China. PARTICIPANTS: 17 851 participants aged 25–64 years (4...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407212/ https://www.ncbi.nlm.nih.gov/pubmed/34462277 http://dx.doi.org/10.1136/bmjopen-2020-045495 |
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author | Yang, Jie Cheng, Nannan Zhang, Yue Ye, Lijing Li, Jingyi Zhou, Ziyi Wang, Zhuo Liu, Lishun Huang, Xiao Liang, Xinglong Ling, Tianchi Xu, Yongcheng Song, Yun Wang, Binyan Tang, Genfu Qin, Xianhui Zalloua, Pierre Zhang, Huisheng Yan, Fangrong Xu, Xiping |
author_facet | Yang, Jie Cheng, Nannan Zhang, Yue Ye, Lijing Li, Jingyi Zhou, Ziyi Wang, Zhuo Liu, Lishun Huang, Xiao Liang, Xinglong Ling, Tianchi Xu, Yongcheng Song, Yun Wang, Binyan Tang, Genfu Qin, Xianhui Zalloua, Pierre Zhang, Huisheng Yan, Fangrong Xu, Xiping |
author_sort | Yang, Jie |
collection | PubMed |
description | OBJECTIVE: To investigate the association between body mass index (BMI) and all-cause mortality in a Chinese rural population. DESIGN: Prospective cohort study. SETTING: This study was conducted from 2003 to 2018 in Anqing, Anhui Province, China. PARTICIPANTS: 17 851 participants aged 25–64 years (49.4% female) attending physical examinations and questionnaire were included in this study. The inclusion criterion was families having a minimum of three participating siblings. The exclusion criteria included participants without family number and BMI data at baseline. OUTCOME MEASURES: The outcome measure was all-cause mortality. Generalized estimating equation (GEE) regression analysis was performed to determine the association between baseline BMI and all-cause mortality. RESULTS: During a mean follow-up period of 14.1 years, 730 deaths (8.0%) occurred among men, and 321 deaths (3.6%) occurred among women. The mean BMI for males was 21.3 [Formula: see text] kg/m(2), and for female it was 22.1 [Formula: see text] 3.1 kg/m(2). Baseline BMI was significantly inversely associated with all-cause mortality risk for per SD increase (OR, 0.79 (95% CI, 0.72 to 0.87) for males; OR, 0.88 (95% CI, 0.76 to 1.01) for females). When BMI was stratified with cut points at 20 and 24 kg/m(2), compared with the low BMI group, a significantly lower risk of death was found in the high BMI group (BMI ≥24: OR, 0.57 (95% CI, 0.43 to 0.77) in males; 0.65 (95% CI, 0.46 to 0.93) in females) after adjustment for relevant factors. CONCLUSIONS: In this relatively lean rural Chinese population, the risk of all-cause mortality decreased with increasing BMI. The excess risk of all-cause mortality associated with a high BMI was not seen among this rural population. |
format | Online Article Text |
id | pubmed-8407212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-84072122021-09-16 Inverse association between body mass index and all-cause mortality in rural chinese adults: 15-year follow-up of the Anqing cohort study Yang, Jie Cheng, Nannan Zhang, Yue Ye, Lijing Li, Jingyi Zhou, Ziyi Wang, Zhuo Liu, Lishun Huang, Xiao Liang, Xinglong Ling, Tianchi Xu, Yongcheng Song, Yun Wang, Binyan Tang, Genfu Qin, Xianhui Zalloua, Pierre Zhang, Huisheng Yan, Fangrong Xu, Xiping BMJ Open Epidemiology OBJECTIVE: To investigate the association between body mass index (BMI) and all-cause mortality in a Chinese rural population. DESIGN: Prospective cohort study. SETTING: This study was conducted from 2003 to 2018 in Anqing, Anhui Province, China. PARTICIPANTS: 17 851 participants aged 25–64 years (49.4% female) attending physical examinations and questionnaire were included in this study. The inclusion criterion was families having a minimum of three participating siblings. The exclusion criteria included participants without family number and BMI data at baseline. OUTCOME MEASURES: The outcome measure was all-cause mortality. Generalized estimating equation (GEE) regression analysis was performed to determine the association between baseline BMI and all-cause mortality. RESULTS: During a mean follow-up period of 14.1 years, 730 deaths (8.0%) occurred among men, and 321 deaths (3.6%) occurred among women. The mean BMI for males was 21.3 [Formula: see text] kg/m(2), and for female it was 22.1 [Formula: see text] 3.1 kg/m(2). Baseline BMI was significantly inversely associated with all-cause mortality risk for per SD increase (OR, 0.79 (95% CI, 0.72 to 0.87) for males; OR, 0.88 (95% CI, 0.76 to 1.01) for females). When BMI was stratified with cut points at 20 and 24 kg/m(2), compared with the low BMI group, a significantly lower risk of death was found in the high BMI group (BMI ≥24: OR, 0.57 (95% CI, 0.43 to 0.77) in males; 0.65 (95% CI, 0.46 to 0.93) in females) after adjustment for relevant factors. CONCLUSIONS: In this relatively lean rural Chinese population, the risk of all-cause mortality decreased with increasing BMI. The excess risk of all-cause mortality associated with a high BMI was not seen among this rural population. BMJ Publishing Group 2021-08-30 /pmc/articles/PMC8407212/ /pubmed/34462277 http://dx.doi.org/10.1136/bmjopen-2020-045495 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Yang, Jie Cheng, Nannan Zhang, Yue Ye, Lijing Li, Jingyi Zhou, Ziyi Wang, Zhuo Liu, Lishun Huang, Xiao Liang, Xinglong Ling, Tianchi Xu, Yongcheng Song, Yun Wang, Binyan Tang, Genfu Qin, Xianhui Zalloua, Pierre Zhang, Huisheng Yan, Fangrong Xu, Xiping Inverse association between body mass index and all-cause mortality in rural chinese adults: 15-year follow-up of the Anqing cohort study |
title | Inverse association between body mass index and all-cause mortality in rural chinese adults: 15-year follow-up of the Anqing cohort study |
title_full | Inverse association between body mass index and all-cause mortality in rural chinese adults: 15-year follow-up of the Anqing cohort study |
title_fullStr | Inverse association between body mass index and all-cause mortality in rural chinese adults: 15-year follow-up of the Anqing cohort study |
title_full_unstemmed | Inverse association between body mass index and all-cause mortality in rural chinese adults: 15-year follow-up of the Anqing cohort study |
title_short | Inverse association between body mass index and all-cause mortality in rural chinese adults: 15-year follow-up of the Anqing cohort study |
title_sort | inverse association between body mass index and all-cause mortality in rural chinese adults: 15-year follow-up of the anqing cohort study |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407212/ https://www.ncbi.nlm.nih.gov/pubmed/34462277 http://dx.doi.org/10.1136/bmjopen-2020-045495 |
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