Association between weekend catch-up sleeping and BMI of the United States population from 2017 to 2018

Abstract

Abstract Background Obesity represents a major public health issue worldwide. In this study, we aimed to investigate the association between weekend catch-up sleep (CUS) and BMI. Method Our data were derived from the National Health and Nutrition Examination Survey (NHANES) database. We applied the linear regression model and the multiple logistic regression model to examine the correlation between weekend CUS and BMI adjusting for confounders, and stratified regression analysis was conducted to identify specific populations. Results A total of 5,434 adult participants with complete data were selected for the study. Participants with CUS were more likely to have obesity status (OR = 1.17, P = 0.03). The correlation did have a difference in the population with normal BMI or obesity groups (P for interaction = 0.02). Furthermore, in enough weekday sleep group, CUS is related to higher BMI (β: 0.70, 95%CI: 0.02 to 1.38, P = 0.04). The sensitivity analyses in patients with a restricted range of BMI were consistent with our main findings. Conclusion Our study confirmed that weekend CUS is associated with an increased BMI, with different odds ratio values among different subgroups, which also provides evidence for exploring underlying mechanisms and potential clinical applications in obesity treatment.