Introduction: The primary objective was to evaluate the impact of the 'Switch-off 4 Healthy Minds' (S4HM) intervention on recreational screen-time in adolescents.
Methods: Cluster randomized controlled trial with study measures at baseline and 6-months (post-intervention). Eligible participants reported exceeding recreational screen-time recommendations (i.e., >2h/day). In total, 322 adolescents (mean age=14.4±0.6years) from eight secondary schools in New South Wales, Australia were recruited. The S4HM intervention was guided by Self-Determination Theory and included: an interactive seminar, eHealth messaging, a behavioral contract and parental newsletters. The primary outcome was recreational screen-time. Secondary outcomes included mental health (i.e., well-being, psychological distress, self-perceptions), objectively measured physical activity, and body mass index (BMI). Outcome analyses were conducted using linear mixed models and mediation was examined using a product-of-coefficients test.
Results: At post-intervention, significant reductions in screen-time were observed in both groups, with a greater reduction observed in the intervention group (-50min/day versus -29min, p<0.05 for both). However, the adjusted difference in change between groups was not statistically significant (mean=-21.3min/day, p=0.255). There were no significant intervention effects for mental health outcomes, physical activity or BMI. Significant mediation effects for autonomous motivation were found.
Conclusions: Participants in both the S4HM intervention and control groups significantly reduced their screen-time, with no group-by-time effects. Enhancing autonomous motivation might be a useful intervention target for trials aimed at reducing adolescents' recreational screen-time.
Trial Registration: ACTRN12614000163606.
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http://dx.doi.org/10.1016/j.ypmed.2016.07.014 | DOI Listing |
Children (Basel)
December 2024
Department of Physical Education, Sport and Recreation, Universidad de La Frontera, Temuco 4811230, Chile.
: This study aimed to (i) investigate the association between lifestyle parameters (i.e., screen time [ST], food habits, and physical activity [PA]) and health-related quality of life (HRQoL) with executive functions (EFs, i.
View Article and Find Full Text PDFJ Behav Med
January 2025
School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.
Interest in the implicit processing of activity behaviors has been growing, but the psychometric properties of its measurement are often overlooked. This study examined the reliability and validity of two implicit association tests (IATs) designed to assess implicit affective and motivational processes. In the first session, 101 college students completed a Liking-IAT, a Wanting-IAT, and a survey on their attitudes and intentions regarding physical activity and sedentary screen-based recreational activities.
View Article and Find Full Text PDFBackground: Adolescents who engage in physical activity experience positive mental health outcomes. However, the increasing prevalence of physical inactivity combined with high screen time use among adolescents is a growing concern. Parents play an important role in shaping adolescents' physical activity and screen time levels through active participation and involvement.
View Article and Find Full Text PDFCad Saude Publica
January 2025
Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Córdoba, Córdoba, Argentina.
This study aimed to identify latent (unobservable) dimensions representing specific physical activity-related behaviors and explore their potential effects on obesity burden and spatial distribution in Colombia. A cross-sectional study (n = 9,658) was conducted based on the Colombian National Survey of Nutritional Status. A generalized structural equations model was proposed, combining exposure and measurement models to define a disease model.
View Article and Find Full Text PDFChild Care Health Dev
January 2025
Department of Health and Kinesiology, College of Applied Health Sciences, University of Illinois Urbana Champaign, Champaign, Illinois, USA.
Background: Screen use has become nearly universal, especially in children. Therefore, it is important not only to comprehend its effects on health but also to understand its patterns of use. We aim to describe screen use patterns among children assessed at 2, 4, and 6-7 years, based on device, period of the day, and child/family characteristics.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!