We examined the covarying patterns of physical activity and sedentary behaviors among adolescents and their long-term maintenance.
Data came from the National Longitudinal Study of Adolescent Health (1995–2002). We used latent class analysis to identify distinct covarying patterns in adolescence. Logistic regression models were used to predict odds of meeting moderate-to-vigorous physical activity (MVPA) recommendations (≥5 bouts/week) and exceeding screen time guidelines (>2 hours/day) 6 years later based on their adolescent class profile.
Five classes for each gender were identified and labeled as low physical activity (PA)/low sedentary behaviors (SED), moderate (Mod) PA/high (HI) SED, Mod PA/low SED, HI PA/low SED, and HI PA (except skating/biking)/low SED. Compared with low PA/low SED, males and females in Mod PA/low SED, HI PA/low SED, and HI PA (except skating/biking)/low SED classes had increased odds of meeting MVPA recommendations in young adulthood. Mod PA/HI SED had higher odds of exceeding screen time guidelines in young adulthood (adjusted odds ratio [AOR] for females: 1.67, 95% CI: 1.00−2.81; AOR for males: 3.31, 95% CI: 1.80−6.09).
Findings are useful to aid the development of multifactorial interventions that promote physical activity and reduce screen time among adolescents transitioning to adulthood.
Liu, Colabianchi, and Ortaglia are with the Dept of Epidemiology & Biostatistics, University of South Carolina, Columbia, SC. Kim is with the College of Social Work, University of South Carolina, Columbia, SC. Pate is with the Dept of Exercise Science, University of South Carolina, Columbia, SC.