Independent and combined associations of solid-fuel use and smoking with obesity among rural Chinese adults
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AbstractAlthough solid-fuel use or smoking is associated with obesity measured by body mass index (BMI), research on their interactive effects on general and central obesity is limited. Data of 20,140 individuals in the Henan Rural Cohort Study was examined the independent and combined associations of solid-fuel use and smoking with prevalent obesity, which was measured by BMI, waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body fat percentage (BFP), and visceral fat index (VFI). Multiple adjusted logistic regression models showed that the OR (95% CI) of prevalent obesity measured by BMI associated with exposure to solid fuels alone or with smoking was 0.78 (0.70, 0.86) or 0.46 (0.32, 0.66), compared with neither smoking nor solid-fuel exposure. Similar results had been found in other obese anthropometric indices and in the results of linear regression analysis. The results indicated that solid-fuel use and smoking have a synergistic effect on reduction in obesity indices. The effects of household air pollution from solid-fuel use and smoking on obesity should be considered when exploring the influencing factors of obesity.
CitationPan, M., Gu, J., Li, R. et al. (2021) Independent and combined associations of solid-fuel use and smoking with obesity among rural Chinese adults. Environmental Science and Pollution Research 28, pp. 33613–33622. https://doi.org/10.1007/s11356-021-13081-8
JournalEnvironmental Science and Pollution Research
PubMed ID33650053 (pubmed)
DescriptionThis is an accepted manuscript of a paper published by Springer on 01/03/2021, available online at: https://doi.org/10.1007/s11356-021-13081-8 The accepted manuscript of the publication may differ from the final published version. For re-use please see the publisher's terms and conditions.
SponsorsThis research was supported by the Foundation of National Key Program of Research and Development of China (Grant No: 2016YFC0900803), National Natural Science Foundation of China (Grant No: U1404814, 81573243, 81602925), Henan Natural Science Foundation of China (Grant No: 182300410293), Science and Technology Foundation for Innovation Talent of Henan Province (Grant No: 164100510021), Science and Technology Innovation Talents Support Plan of Henan Province Colleges and Universities (Grant No: 14HASTIT035), and High-Level Personnel Special Support Project of Zhengzhou University (Grant No: ZDGD13001).