Elsevier

Preventive Medicine

Volume 91, October 2016, Pages 50-57
Preventive Medicine

Intervention to reduce recreational screen-time in adolescents: Outcomes and mediators from the ‘Switch-Off 4 Healthy Minds’ (S4HM) cluster randomized controlled trial

https://doi.org/10.1016/j.ypmed.2016.07.014Get rights and content

Highlights

  • Reductions in screen-time were not statistically significant.

  • No intervention effects were found for mental health, physical activity or BMI.

  • Intervention effect was partially mediated by increases in autonomous motivation.

Abstract

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., > 2 h/day). In total, 322 adolescents (mean age = 14.4 ± 0.6 years) 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 (− 50 min/day versus − 29 min, p < 0.05 for both). However, the adjusted difference in change between groups was not statistically significant (mean =  21.3 min/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.

Introduction

Excessive recreational screen-time is associated with numerous adverse physical (Escobar-Chaves et al., 2010, Tremblay et al., 2011) and mental health (Tremblay et al., 2010, Strasburger et al., 2010) outcomes in youth. Despite international guidelines recommending young people limit their recreational screen-time to < 2 h/day (Mark and Janssen, 2008), between 70 and 80% of Western youth exceed these recommendations (Mark et al., 2006, Owens et al., 2013, Morley et al., 2012). As excessive screen-time is a major public health issue in many Western countries, there is a need for scalable interventions that can reach a large proportion of the youth population. According to a recent meta-analysis of screen-time interventions, home-based interventions have been more successful than those conducted in schools (Marsh et al., 2014). However, few of the included studies targeted adolescents, and it is therefore unclear which intervention approaches are most effective for this priority population. While parental involvement is considered an important determinant of success in youth screen-time interventions (Marsh et al., 2014), engaging parents in such interventions remains challenging (Ingoldsby, 2010). Schools have the facilities and personnel to support the implementation of interventions (Hills et al., 2015), but may also have value as an avenue for accessing and engaging parents. Indeed, embedding health promotion interventions within schools may give health promotion programs the exposure and credibility needed to convince parents to participate. Moreover, there is a rationale for evaluating interventions that meaningfully incorporate parental engagement within school-based programs.

Evidence suggests theory-based screen-time interventions have been more effective than those that do not report a theoretical framework (Maniccia et al., 2011). Therefore, an additional priority for interventions should be the application of behavioral theories, and the evaluation of theoretical mediators of behavior change. Self-determination theory (SDT) is a motivational theory which posits that human motivation and behavior are influenced by the satisfaction (or thwarting) of individuals' basic psychological needs for autonomy (sense of choice or volition), competence (sense of capability or mastery) and relatedness (sense of connectedness with others) (Ryan and Deci, 2007). According to SDT, satisfaction of these psychological needs will promote autonomous (or self-determined) forms of motivation. Autonomous motivation reflects more ‘internalized’ reasons for engaging in (or avoiding) a behavior. For example, an individual may decide to maintain an active lifestyle or limit their alcohol consumption due to the perceived health or social benefits. Autonomous motives are considered to be more strongly related to behavioral enactment than controlled motives, which involve engaging in or changing behavior on the basis of external demands or social pressures (Ryan and Deci, 2007). Accordingly, behavior change strategies that enable individuals to feel their decisions are self-endorsed (rather than imposed) should result in a greater likelihood of initial behavior change and ongoing behavior maintenance (Ryan and Deci, 2000).

The aim of the present study is to evaluate the efficacy of the ‘Switch-off 4 Healthy Minds’ (S4HM) intervention, a novel and theoretically based screen-time intervention for adolescents. We hypothesize that adolescents in the S4HM intervention will report significantly lower levels of recreational screen-time at 6-month post-intervention, compared to those in a wait-list control group. In addition, we hypothesize that changes in screen-time over the study period will be mediated by changes in adolescents' autonomous motivation to limit their screen-time.

Section snippets

Study design and participants

The study was conducted and reported in accordance with the Consolidated Standards of Reporting Trials (CONSORT) Statement (Schulz et al., 2010, Moher et al., 2010), and the methods have previously been described in detail (Babic et al., 2015). Ethics approval for the study was obtained from the University of Newcastle, Newcastle-Maitland Catholic Schools Office and the Diocese of Broken Bay. All Catholic secondary schools (N = 20) located in the Hunter region of New South Wales, Australia were

Results

Eligibility screening was completed by 1154 students, of whom 935 (81%) were considered eligible. In total, 322 students were recruited and assessed at baseline, with the recruitment target achieved in seven of the eight schools. At post-intervention, 308 students completed follow-up assessments, representing a retention rate of 96%. Baseline characteristics of the study sample are reported in Table 2. There were no significant differences between completers and study drop-outs for any of the

Discussion

Excessive recreational screen-time is a growing problem in many Western nations, and high levels of screen-time during the developmental years may have lasting adverse effects (Boone et al., 2007). Consequently, there is a need for intervention approaches that demonstrate both efficacy and reach. The primary objective of this study was to evaluate the impact of the S4HM intervention on recreational screen-time in a sample of adolescents. Although screen-time declined to a greater extent for the

Conclusions

Screen use for recreation is ubiquitous and the majority of adolescents exceed current screen-time recommendations (Hardy et al., 2010). In light of this, there is a clear need for effective and scalable intervention strategies. Despite being theoretically driven, the present trial was ineffective in its primary aim of reducing recreational screen-time. Significant intervention effects were observed for participants' autonomous motivation to limit screen-time, which mediated changes in

Competing interests

The authors have no competing interests to declare.

Author contributions

DRL, PJM, RCP, NE, GS, CL and ALB obtained funding for the research. All authors contributed to developing, editing, and approving the final version of the paper. DRL, PJM, RCP, CL, GS and MB developed the intervention materials. MB and EP were responsible for data collection and cleaning. DRL is the guarantor and accepts full responsibility regarding the conduct of the study and the integrity of the data. All authors have read and approved the final manuscript.

Acknowledgements

This project is funded by a Hunter Medical Research Institute grant (HMRI-13-39). DRL is funded by an Australian Research Council Future Fellowship (FT140100399). RCP (G1100138) and ALB (G1200044) are funded by Fellowships from the National Health and Medical Research Council of Australia.

References (44)

  • BiddleS.J. et al.

    Interventions designed to reduce sedentary behaviours in young people: a review of reviews

    Br. J. Sports Med.

    (2014)
  • BooneJ.E. et al.

    Screen time and physical activity during adolescence: longitudinal effects on obesity in young adulthood

    Int. J. Behav. Nutr. Phys. Act.

    (2007)
  • BuchananL.R. et al.

    Reducing recreational sedentary screen time: a community guide systematic review

    Am. J. Prev. Med.

    (2016)
  • CarlsonS.A. et al.

    Influence of limit-setting and participation in physical activity on youth screen time

    Pediatrics

    (2010)
  • DeciE.L. et al.

    Intrinsic Motivation and Self-Determination in Human Behavior

    (1985)
  • DienerE. et al.

    New well-being measures: short scales to assess flourishing and positive and negative feelings

    Soc. Indic. Res.

    (2010)
  • EpsteinL.H. et al.

    A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children

    Arch. Pediatr. Adolesc. Med.

    (2008)
  • Escobar-ChavesS.L. et al.

    The ‘fun families’ study: intervention to reduce children's television viewing

    Obesity

    (2010)
  • HardyL.L. et al.

    Family and home correlates of television viewing in 12–13 year old adolescents: the Nepean study

    Int. J. Behav. Nutr. Phys. Act.

    (2006)
  • HardyL.L. et al.

    NSW Schools Physical Activity and Nutrition Survey (SPANS) 2010: Full Report

    (2010)
  • IngoldsbyE.M.

    Review of interventions to improve family engagement and retention in parent and child mental health programs

    J. Child Fam. Stud.

    (2010)
  • KesslerR.C. et al.

    Short screening scales to monitor population prevalences and trends in non-specific psychological distress

    Psychol. Med.

    (2002)
  • Cited by (48)

    View all citing articles on Scopus
    View full text