Ontology highlight
ABSTRACT: Background
Evidence on correlates relies on subjective metrics and fails to include correlates across all levels of the ecologic model. We determined which correlates best predict sensor-based physical activity (PA), sedentary time (ST), and self-reported cell phone screen time (CST) in a large sample of youth, while considering a multiplicity of correlates.Methods
Using sensor-based accelerometry, we assessed the PA and ST of 2179 youths. A χ2 automatic interaction detection algorithm was used to hierarchize the correlates associated with too much ST (> 50th percentile), insufficient moderate-to-vigorous PA (MVPA) (<60 min/day), and prolonged CST (≥2 h/day).Results
Among youth 10-14 years old, the correlates for being inactive consisted of being a girl,
SUBMITTER: Judice PB
PROVIDER: S-EPMC7856564 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature