Abstract
ObjectiveTo investigate the association between body mass index (BMI) and all-cause mortality in a Chinese rural population.DesignProspective cohort study.SettingThis study was conducted from 2003 to 2018 in Anqing, Anhui Province, China.Participants17 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 measuresThe 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.ResultsDuring 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.ConclusionsIn 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.
Funder
Jiangxi Outstanding Person Foundation
Science and Technology Program of Guangdong
National Key Research and Development Program
Economic, Trade and Information Commission of Shenzhen Municipality
Science, Technology and Innovation Committee of Shenzhen
Major projects of the Science and Technology Department, Jiangxi
Science and Technology Planning Project of Guangzhou
the National Natural Science Foundation of China
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