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Adolescent Physical Activity (adolescent + physical_activity)
Selected AbstractsRelation of School Environment and Policy to Adolescent Physical Activity,JOURNAL OF SCHOOL HEALTH, Issue 4 2009Nefertiti Durant MD ABSTRACT Background:, Physical activity (PA) declines as children and adolescents age. The purpose of this study was to examine how specific school factors relate to youth PA, TV viewing, and body mass index (BMI). Methods:, A sample of 12- to 18-year-old adolescents in 3 cities (N = 165, 53% females, mean age 14.6 ± 1.7 years, 44% nonwhite) completed surveys assessing days of physical education (PE) class per week, school equipment accessibility, after-school supervised PA, and after-school field access. Regression analyses were conducted to examine relationships between these school factors and PA at school facilities open to the public (never active vs active), overall PA level (days per week physically active for 60 minutes), BMI z score, and TV watching (hours per week). Results:, Adjusting for demographics, days of PE per week and access to school fields after school were correlated with overall PA (,= 0.286, p = .002, semipartial correlation .236 and ,= 0.801, p = .016, semipartial correlation .186, respectively). The association between after-school field access and overall PA was mediated by use of publicly accessible school facilities for PA. After-school supervised PA and school PA equipment were not associated with overall PA. In adjusted regression analyses including all school factors, days of PE remained correlated to overall PA independent of other school factors (,= 0.264, p = .007, semipartial correlation = .136). There were no associations between school factors and BMI or TV watching. Conclusions:, Based on these study findings, PE is a promising intervention to address improving overall adolescent PA within the school setting. [source] The Interplay between Conscious and Automatic Self-Regulation and Adolescents' Physical Activity: The Role of Planning, Intentions, and Lack of AwarenessAPPLIED PSYCHOLOGY, Issue 2 2009Stephan Dombrowski This study investigated the interplay between conscious and automatic self-regulatory variables and adolescents' physical activity. It was hypothesised that intention, planning, and lack of awareness would predict adolescents' behaviour. One hundred and fifty-five individuals (aged 13 to 17 years) completed questionnaires in two waves (with a time gap of 10 days). The results of cross-lagged panel analysis suggested that both past behaviour and planning predicted physical activity at follow-up, whereas physical activity predicted intention. Although lack of awareness, a facet of automatic processes, was negatively related to physical activity, the nested model comparison analysis indicated that the relation between lack of awareness and physical activity might be negligible. Among the self-regulatory processes, planning was found to be the most important predictor of adolescents' physical activity, although past behaviour remained the strongest predictor of future behaviour. Cette recherche porte sur l'interaction entre les variables autorégulatrices conscientes et automatiques et l'activité physique des adolescents. On a fait l'hypothèse que l'intention, la planification et l'absence de prise de conscience allaient prédire le comportement des adolescents. 155 individus âgés de 13 à 17 ans ont rempli des questionnaires en deux temps avec un intervalle de dix jours. Les résultats d'une analyse en panel retardé croisé montrent que la conduite antérieure et la planification prédisent l'activité physique qui s'ensuit alors que l'activité physique prédit l'intention. Bien que le manque de prise de conscience, une facette des processus automatiques, soit négativement corréléà l'activité physique, l'analyse de variance indique que la relation entre l'absence de prise de conscience et l'activité physique pourrait être négligeable. Des différents processus d'autorégulation, c'est la planification qui est apparue comme étant le prédicteur majeur de l'activité physique des adolescents, bien que la conduite passée reste le prédicteur le plus fiable du comportement à venir. [source] Physical activity in adolescence and smoking in young adulthood: a prospective twin cohort studyADDICTION, Issue 7 2007Urho M. Kujala ABSTRACT Aims To control for familial confounds, we studied the association between adolescent physical activity and later smoking in twin siblings discordant for their baseline physical activity. Design and measurements In this prospective population-based twin study, we asked whether persistent physical activity/inactivity in adolescence (assessed at 16, 17 and 18.5 years) predicted questionnaire-reported daily smoking at ages 22,27. Twins who, on the three baseline questionnaires, consistently reported frequent leisure physical activity (more than three times weekly) were classified as persistent exercisers, those who exercised less than three times monthly were called persistently inactive, others were occasional exercisers. Setting Finland. Participants A total of 4240 individuals, including 1870 twin pairs. Findings In analyses of individual twins, compared to persistent activity, persistent physical inactivity predicted increased risk of daily smoking (age- and sex-adjusted odds ratio 5.53, 95% confidence interval 3.88,7.88, P < 0.001). The risk remained elevated even after excluding all those who had smoked 50 cigarettes or more life-time at baseline and adjusted for educational level in adolescence. In within-pair analyses compared to the active members of discordant twin pairs, the physically inactive co-twins had increased risk of future daily smoking (sex-adjusted odds ratio 3.39, 95% confidence interval 1.56,7.39, P = 0.002). Conclusions Persistent physical inactivity in adolescence relates to adult smoking, even after familial factors are taken into account. [source] The Interplay between Conscious and Automatic Self-Regulation and Adolescents' Physical Activity: The Role of Planning, Intentions, and Lack of AwarenessAPPLIED PSYCHOLOGY, Issue 2 2009Stephan Dombrowski This study investigated the interplay between conscious and automatic self-regulatory variables and adolescents' physical activity. It was hypothesised that intention, planning, and lack of awareness would predict adolescents' behaviour. One hundred and fifty-five individuals (aged 13 to 17 years) completed questionnaires in two waves (with a time gap of 10 days). The results of cross-lagged panel analysis suggested that both past behaviour and planning predicted physical activity at follow-up, whereas physical activity predicted intention. Although lack of awareness, a facet of automatic processes, was negatively related to physical activity, the nested model comparison analysis indicated that the relation between lack of awareness and physical activity might be negligible. Among the self-regulatory processes, planning was found to be the most important predictor of adolescents' physical activity, although past behaviour remained the strongest predictor of future behaviour. Cette recherche porte sur l'interaction entre les variables autorégulatrices conscientes et automatiques et l'activité physique des adolescents. On a fait l'hypothèse que l'intention, la planification et l'absence de prise de conscience allaient prédire le comportement des adolescents. 155 individus âgés de 13 à 17 ans ont rempli des questionnaires en deux temps avec un intervalle de dix jours. Les résultats d'une analyse en panel retardé croisé montrent que la conduite antérieure et la planification prédisent l'activité physique qui s'ensuit alors que l'activité physique prédit l'intention. Bien que le manque de prise de conscience, une facette des processus automatiques, soit négativement corréléà l'activité physique, l'analyse de variance indique que la relation entre l'absence de prise de conscience et l'activité physique pourrait être négligeable. Des différents processus d'autorégulation, c'est la planification qui est apparue comme étant le prédicteur majeur de l'activité physique des adolescents, bien que la conduite passée reste le prédicteur le plus fiable du comportement à venir. [source] |