Epidemiology & Biostatistics
Permanent URI for this communityhttp://hdl.handle.net/1903/7125
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Item Sleep Duration in Adolescent Girls: Correlates and Association with Obesity Risk(2013) Moshkovich, Olga; Saksvig, Brit I; Epidemiology and Biostatistics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)The present study aimed to identify demographic, behavioral, and school-related factors associated with week night sleep duration among an ethnically diverse sample of 582 adolescent girls from the Trial of Activity for Adolescent Girls (TAAG) 2. The distribution of sleep duration categories (<7 hours, 7-9 hours, and >9 hours) differed significantly among ethnic groups in bivariate analyses, but not in the final multivariate model. Additionally, sleep duration was negatively associated with distance to school from home, typical time spent on the computer, and school start time. In contrast to previous findings, shortened sleep duration was not associated with increased body mass index (BMI), body fat percentage, or quantity of moderate-to-vigorous physical activity (MVPA). Findings show support for delayed school start times. In addition, future research should examine whether interventions to reduce screen time activities among adolescents is effective in increasing their sleep duration.Item Change in Physical Activity and Associated Factors among Adolescent Girls(2012) Zook, Kathleen Renee; Rohm Young, Deborah; Epidemiology and Biostatistics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Objective: Examine relationships between changes in physical activity (PA) and personal, psychosocial and environmental factors among adolescent girls. Methods: Longitudinal data were analyzed from two cohorts of adolescent girls. Participants were placed into four categories based on PA levels. Active Maintainer-AM, Inactive Maintainer-IM, Adopter-A, or Relapser-R. Anthropomorphic, personal, psychosocial and environmental data were collected. Multivariate logistic regression was used to estimate parameters. Results: In early adolescence, Free/reduced price lunch and PA Self-Efficacy were associated with AM; Race and Friend Support for PA with IM; and Friend Support for PA with R. In later adolescence, Distance to Nearest Park, PA Frequency with Friends, and Global Physical were associated with AM; BMI, Friend Support for PA, PA Frequency with Friends, and Age at Menses, with IM; BMI with A. Conclusion: PA predictors were different across the categories and the predictors were different for early adolescence and later adolescence.