首页|Sex differences in the association between short sleep duration and obesity among US adults: findings from NHANES, 2015-2020
Sex differences in the association between short sleep duration and obesity among US adults: findings from NHANES, 2015-2020
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NSTL
Elsevier
Background: Obesity is an important public health problem in the United States. Identifying modifiable risk factors could guide public health intervention efforts. In this study, we leveraged a nationally representative sample of the US population to examine sex differences in the association between short sleep and obesity among US adults. Methods: Publicly available cross-sectional national data were extracted from the National Health and Nutrition Examination Survey, 2015 through 2020. A multivariable survey logistic regression model was fitted for the association between short sleep (defined as less than 7 h of sleep in 24 h) and obesity, accounting for sample stratification, clustering, and weighing. Heterogeneity was assessed using interaction terms overall and by fitting a sex-stratified model. Results: A total of 15,562 persons aged 18 years and older were included in the study. The majority were non-Hispanic whites, 18-44 years of age, with at most a high school education. Short sleepers tended to be female (55.9%; 95% CI: 53.9, 57.9) while long (59.6%; 95% CI: 57.4, 61.7) and normal sleepers (51.9%; 95% CI: 50.5, 53.2) tended to be male. As compared with normal sleep duration, 7-9 h, short sleep duration was not significantly associated with obesity in the study population overall (OR = 0.95; 95% CI: 0.83-1.08) or among males (OR = 0.98; 95% CI: 0.86-1.12). However, short sleep was associated with increased odds of obesity among females (OR = 1.22; 95% CI: 1.01-1.49). Conclusions: There is sex-based heterogeneity in the association between short sleep and obesity among US adults. Further research should explore the factors responsible, and investigate the underlying mechanism. (c) 2022 Elsevier B.V. All rights reserved.
NSTL
Elsevier
