The associations between smoking and obesity in northeast China: a quantile regression analysis

Mengzi Sun(Jilin University), Yan Jiang(University of Pittsburgh), Chong Sun(Jilin University), Jiagen Li(Jilin University), Xin Guo(Jilin University), Yaogai Lv(Jilin University), Yaqin Yu(Jilin University), Yan Yao(Jilin University), Lina Jin(Jilin University)
Scientific Reports
March 14, 2019
Cited by 35Open Access
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Abstract

Obesity is a risk factors of chronic diseases, and smoking is associated with both chronic diseases and obesity. There were some controversies about the associations between smoking and obesity. Thus, our study aimed to explore the associations of smoking with obesity, using body mass index (BMI) and waist circumference (WC) as obesity indices in northeast China. We enrolled a sample of 16,412 participants in Jilin province aged 18-79 in this study, which were derived from a cross-sectional survey in 2012. We used quantile regression (QR) models to identify the associations of smoking with obesity in different quantiles of BMI (or WC) by genders. The differences of BMI and WC by genders were statistically significant (p < 0.05). In conclusion, compared with current non-smokers, current smokers had lower BMI but higher WC. As increasing of WC, the association of WC with smoking was getting stronger, especially in females.


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