Independent and combined associations of solid-fuel use and smoking with obesity among rural Chinese adults
Issue Date
2021-03-01
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Although 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.Citation
Pan, 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/s11356-021-13081-8Publisher
SpringerJournal
Environmental Science and Pollution ResearchPubMed ID
33650053 (pubmed)Additional Links
https://link.springer.com/article/10.1007/s11356-021-13081-8Type
Journal articleLanguage
enDescription
This 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.ISSN
0944-1344EISSN
1614-7499Sponsors
This 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).ae974a485f413a2113503eed53cd6c53
10.1007/s11356-021-13081-8
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