AUTHOR=Ren Lin , Chang Li , Kang Yijun , Zhao Yaling , Chen Fangyao , Pei Leilei 

TITLE=Gender-Specific Association Between Sleep Duration and Body Mass Index in Rural China

JOURNAL=Frontiers in Endocrinology

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2022.877100

DOI=10.3389/fendo.2022.877100

ISSN=1664-2392

ABSTRACT=Background: This study aimed to investigate the association of sleep duration with body mass index (BMI) by gender among adult residents in rural Hanzhong of Shaanxi province, Northwest China. 
Methods: A two-level stratified random cluster sampling method was used to select adult residents between the ages of 18 to 80 years. All information including socio-demographic characteristics and lifestyles was collected by face-to-face interview with a structured questionnaire. According to standard methods, trained staff were responsible for anthropometric measurements using calibrated instruments in an empty room. By gender, both ordinary least squares regression (OLS) and quantile regression (QR) were used to analyze the relationship between sleep time and BMI controlling for other confounders. The restricted cubic splines with five knots was further used to express the potentially non-linear association between sleep time and BMI. 
Results: A total of 3017 eligible participants were included in the study. After controlling for confounding factors including socio-demographic characteristics and lifestyles, OLS regression did not indicated any significant association of sleep duration with BMI among men and women. Among men, it was clear that there is an inverse U-shaped relationship between sleep time and BMI beyond the 66.0th percentile (BMI≥24). Among women, quantile regression presented a significant U-shaped relationship between BMI and sleep duration. According to the restricted cubic splines, the women who sleep at approximately 9 hours, had lowest BMI, and when sleep duration approached approximately 7 hours among men, their BMI would be the highest.
Conclusions: The U-shaped and inverse U-shaped relationship between sleep duration and BMI were clearly observed for women and men respectively in our study. The identification of potentially relevant modifiable risk factors may provide better preventive approaches to obesity.