Ontology highlight
ABSTRACT: Objective
To provide a nationally representative analysis of time use in America for insight into behaviors associated with obesity.Methods
This study utilized 28,503 observations of individuals aged 22 to 70 from the American Time Use Survey, a continuous cross-sectional survey on time use in America. Linear and logistic regressions were performed to analyze sociodemographic characteristics, determine activity participation levels and time spent in activities, understand nonlinear associations between activity time and BMI, and appreciate differences in activity timing between BMI categories.Results
Short and long sleep and work were associated with increased BMI. On weekdays, individuals with obesity were more likely to be working at night and sleeping during the
SUBMITTER: Patel VC
PROVIDER: S-EPMC5039068 | biostudies-literature | 2016 Oct
REPOSITORIES: biostudies-literature