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 (49.4% fe...
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BMJ Publishing Group
2021-08-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/11/8/e045495.full |
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| author | Yun Song Jie Yang Yue Zhang Xiao Huang Xiping Xu Lishun Liu Binyan Wang Ziyi Zhou Zhuo Wang Xianhui Qin Genfu Tang Jingyi Li Fangrong Yan Nannan Cheng Lijing Ye Xinglong Liang Tianchi Ling Yongcheng Xu Pierre Zalloua Huisheng Zhang |
| author_facet | Yun Song Jie Yang Yue Zhang Xiao Huang Xiping Xu Lishun Liu Binyan Wang Ziyi Zhou Zhuo Wang Xianhui Qin Genfu Tang Jingyi Li Fangrong Yan Nannan Cheng Lijing Ye Xinglong Liang Tianchi Ling Yongcheng Xu Pierre Zalloua Huisheng Zhang |
| author_sort | Yun Song |
| collection | DOAJ |
| 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±2.5 kg/m2, and for female it was 22.1±3.1 kg/m2. 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/m2, 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 | Article |
| id | doaj-art-aefc59375fec4833ad288477e0a535e3 |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2021-08-01 |
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| series | BMJ Open |
| spelling | doaj-art-aefc59375fec4833ad288477e0a535e32024-12-09T02:40:09ZengBMJ Publishing GroupBMJ Open2044-60552021-08-0111810.1136/bmjopen-2020-045495Inverse association between body mass index and all-cause mortality in rural chinese adults: 15-year follow-up of the Anqing cohort studyYun Song0Jie Yang1Yue Zhang2Xiao Huang3Xiping Xu4Lishun Liu5Binyan Wang6Ziyi Zhou7Zhuo Wang8Xianhui Qin9Genfu Tang10Jingyi Li11Fangrong Yan12Nannan Cheng13Lijing Ye14Xinglong Liang15Tianchi Ling16Yongcheng Xu17Pierre Zalloua18Huisheng Zhang19Mental Wealth Initiative, University of Sydney, Camperdown, New South Wales, Australia1 Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China1 Department of Oncology, People`s Liberation Army The General Hospital of Western Theater Command, Chengdu, Sichuan, ChinaDepartment of Cardiovascular Medicine, Nanchang University Second Affiliated Hospital, Nanchang, ChinaNational Clinical Research Study Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, ChinaNational Clinical Research Study Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, ChinaBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, ChinaDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, Guangdong, ChinaInstitute for Biomedicine, Anhui Medical University, Hefei, ChinaDepartment of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, ChinaChina Pharmaceutical University, Nanjing, ChinaState Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, ChinaState Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, ChinaHealth Center of Xigang Center, Tengzhou, ChinaHami Central Hospital, Hami, ChinaSecond Department of Vascular Anomalies Disease, Shanghai TCM-Integrated Hospital, Shanghai, ChinaSchool of Medicine, Lebanese American University, Beirut, LebanonGuangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, ChinaObjective 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±2.5 kg/m2, and for female it was 22.1±3.1 kg/m2. 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/m2, 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.https://bmjopen.bmj.com/content/11/8/e045495.full |
| spellingShingle | Yun Song Jie Yang Yue Zhang Xiao Huang Xiping Xu Lishun Liu Binyan Wang Ziyi Zhou Zhuo Wang Xianhui Qin Genfu Tang Jingyi Li Fangrong Yan Nannan Cheng Lijing Ye Xinglong Liang Tianchi Ling Yongcheng Xu Pierre Zalloua Huisheng Zhang Inverse association between body mass index and all-cause mortality in rural chinese adults: 15-year follow-up of the Anqing cohort study BMJ Open |
| 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 |
| url | https://bmjopen.bmj.com/content/11/8/e045495.full |
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