scholarly journals Identifying effective intervention strategies to reduce children’s screen time: a systematic review and meta-analysis

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Alexis Jones ◽  
Bridget Armstrong ◽  
R. Glenn Weaver ◽  
Hannah Parker ◽  
Lauren von Klinggraeff ◽  
...  
Keyword(s):  
Behavior Change ◽  
Sample Size ◽  
Screen Time ◽  
Behavioral Interventions ◽  
Meta Analysis ◽  
Intervention Effectiveness ◽  
Behavior Change Techniques ◽  
Behavioral Techniques ◽  
Study Characteristics ◽  
And Behavior

Abstract Background Excessive screen time ($$\ge$$ ≥ 2 h per day) is associated with childhood overweight and obesity, physical inactivity, increased sedentary time, unfavorable dietary behaviors, and disrupted sleep. Previous reviews suggest intervening on screen time is associated with reductions in screen time and improvements in other obesogenic behaviors. However, it is unclear what study characteristics and behavior change techniques are potential mechanisms underlying the effectiveness of behavioral interventions. The purpose of this meta-analysis was to identify the behavior change techniques and study characteristics associated with effectiveness in behavioral interventions to reduce children’s (0–18 years) screen time. Methods A literature search of four databases (Ebscohost, Web of Science, EMBASE, and PubMed) was executed between January and February 2020 and updated during July 2021. Behavioral interventions targeting reductions in children’s (0–18 years) screen time were included. Information on study characteristics (e.g., sample size, duration) and behavior change techniques (e.g., information, goal-setting) were extracted. Data on randomization, allocation concealment, and blinding was extracted and used to assess risk of bias. Meta-regressions were used to explore whether intervention effectiveness was associated with the presence of behavior change techniques and study characteristics. Results The search identified 15,529 articles, of which 10,714 were screened for relevancy and 680 were retained for full-text screening. Of these, 204 studies provided quantitative data in the meta-analysis. The overall summary of random effects showed a small, beneficial impact of screen time interventions compared to controls (SDM = 0.116, 95CI 0.08 to 0.15). Inclusion of the Goals, Feedback, and Planning behavioral techniques were associated with a positive impact on intervention effectiveness (SDM = 0.145, 95CI 0.11 to 0.18). Interventions with smaller sample sizes (n < 95) delivered over short durations (< 52 weeks) were associated with larger effects compared to studies with larger sample sizes delivered over longer durations. In the presence of the Goals, Feedback, and Planning behavioral techniques, intervention effectiveness diminished as sample size increased. Conclusions Both intervention content and context are important to consider when designing interventions to reduce children’s screen time. As interventions are scaled, determining the active ingredients to optimize interventions along the translational continuum will be crucial to maximize reductions in children’s screen time.

scholarly journals Participants’ enactment of behavior change techniques: A call for increased focus on what people do to manage their motivation and behaviour

2018 ◽  
Author(s):  
Nelli Hankonen
Keyword(s):  
Behavior Change ◽  
Intervention Effectiveness ◽  
Intervention Participant ◽  
Behavior Change Techniques ◽  
Self Monitoring ◽  
Intervention Delivery ◽  
Change Behavior ◽  
Starting Point ◽  
Trial Outcomes ◽  
And Behavior

Intervention effectiveness does not only depend on fidelity of intervention delivery, but also the enactment, or use, of behavior change techniques (BCTs) by the participants. For example, it is not sufficient that intervention provider prompts an intervention participant to self-monitor their physical activity, but crucially, the participant enacts self-monitoring. Theoretical and conceptual work integrating various strands of research into ‘what a person can do for oneself’ to change behavior is needed. This paper argues how this would aid in designing for, assessing, and promoting the use individuals’ self-management techniques, and ultimately, our understanding of sustained behavior change. The recently published, integrative compendium of self-enactable techniques to change and self-manage motivation and behavior can act as a useful starting point for this work. An increased focus on the enactment of BCTs would help clarify intervention processes, help explain trial outcomes, and potentially enhance intervention effectiveness.

scholarly journals Barriers and Facilitators That Influence Providers’ Ability to Educate, Monitor, and Treat Substance Use in First-Episode Psychosis Programs Using the Theoretical Domains Framework

2021 ◽  
pp. 104973232199344
Author(s):  
Oladunni Oluwoye ◽  
Elizabeth Fraser
Keyword(s):  
Substance Use ◽  
Behavior Change ◽  
Theoretical Domains Framework ◽  
First Episode Psychosis ◽  
Barriers And Facilitators ◽  
First Episode ◽  
Evidence Based ◽  
Behavior Change Techniques ◽  
Episode Psychosis ◽  
And Behavior

In this qualitative study, we explore providers’ experiences with addressing substance use among individuals with first-episode psychosis (FEP) enrolled in coordinated specialty care (CSC) programs. Three focus groups were conducted with 24 providers from CSC programs for FEP in Washington. Questions were focused on barriers and facilitators to addressing substance use using the Theoretical Domains Framework (TDF) as a guide. Thematic analysis was used to code all transcripts. Identified TDF domains were then mapped onto the COM-B (Capability, Opportunity, Motivation, Behavior) intervention functions and behavior change techniques. Seven theoretical domains were identified as the most relevant to addressing substance use: “Knowledge,” “Skills,” “Environmental Context and Resources,” “Social Influences,” “Social and Professional Role and Identity,” “Beliefs about Capabilities,” and “Reinforcement.” The use of the TDF provides a framework to explore barriers and facilitators for targeting substance use and suggestions for behavior change techniques when considering implementation of evidence-based strategies to enhance CSC models.

scholarly journals Diet Behavior Change Techniques in Type 2 Diabetes: A Systematic Review and Meta-analysis

Diabetes Care ◽  
2017 ◽  
Vol 40 (12) ◽  
pp. 1800-1810 ◽  
Author(s):  
Kevin A. Cradock ◽  
Gearóid ÓLaighin ◽  
Francis M. Finucane ◽  
Rhyann McKay ◽  
Leo R. Quinlan ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Behavior Change ◽  
Meta Analysis ◽  
Behavior Change Techniques ◽  
Diet Behavior

Motivating Adolescents to Participate in Literacy Intervention: A Case Example From Telepractice

2021 ◽  
pp. 1-15
Author(s):  
Ginger G. Collins
Keyword(s):  
Behavior Change ◽  
Self Determination Theory ◽  
Literacy Skills ◽  
Language Intervention ◽  
Self Determination ◽  
Literacy Intervention ◽  
Behavior Change Techniques ◽  
Language Interventions ◽  
And Behavior ◽  
Motivation To Participate

Purpose: Motivation declines as children reach adolescence. Poor motivation inhibits participation and engagement in language-based interventions. The purpose of this tutorial is to demonstrate how intervention can be designed to increase client motivation to participate while improving language-based literacy skills. Method: Motivation and behavior change techniques based on self-determination theory are presented, as are examples of how to integrate these techniques into contextualized language intervention with adolescent clients. Conclusion: Incorporating motivation and behavior change techniques into contextualized language interventions with adolescents promotes self-determination and motivation through satisfaction of their need for autonomy, relatedness, and competence while simultaneously addressing language-based literacy deficits.

scholarly journals Clinical Effectiveness of Weight Loss and Weight Maintenance Interventions for Men: A Systematic Review of Men-Only Randomized Controlled Trials (The ROMEO Project)

2015 ◽  
Vol 11 (4) ◽  
pp. 1096-1123 ◽  
Author(s):  
Clare Robertson ◽  
Alison Avenell ◽  
Fiona Stewart ◽  
Daryll Archibald ◽  
Flora Douglas ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Weight Loss ◽  
Confidence Interval ◽  
Behavior Change ◽  
Randomized Controlled Trials ◽  
Controlled Trials ◽  
Behavior Change Techniques ◽  
Randomized Controlled ◽  
And Behavior

Men are underrepresented in obesity services, suggesting current weight loss service provision is suboptimal. This systematic review evaluated evidence-based strategies for treating obesity in men. Eight bibliographic databases and four clinical trials’ registers were searched to identify randomized controlled trials (RCTs) of weight loss interventions in men only, with mean/median body mass index of ≥30 kg/m2 (or ≥28 kg/m2 with cardiac risk factors), with a minimum mean/median duration of ≥52 weeks. Interventions included diet, physical activity, behavior change techniques, orlistat, or combinations of these; compared against each other, placebo, or a no intervention control group; in any setting. Twenty-one reports from 14 RCTs were identified. Reducing diets produced more favorable weight loss than physical activity alone (mean weight change after 1 year from a reducing diet compared with an exercise program −3.2 kg, 95% confidence interval −4.8 to −1.6 kg, reported p < .01). The most effective interventions combined reducing diets, exercise, and behavior change techniques (mean difference in weight at 1 year compared with no intervention was −4.9 kg, 95% confidence interval −5.9 to −4.0, reported p < .0001). Group interventions produced favorable weight loss results. The average reported participant retention rate was 78.2%, ranging from 44% to 100% retention, indicating that, once engaged, men remained committed to a weight loss intervention. Weight loss for men is best achieved and maintained with the combination of a reducing diet, increased physical activity, and behavior change techniques. Strategies to increase engagement of men with weight loss services to improve the reach of interventions are needed.

scholarly journals Influence of Pilot and Small Trials in Meta-Analyses of Behavioral Interventions: A Meta-epidemiological Study

2020 ◽  
Author(s):  
Michael W. Beets ◽  
R. Glenn Weaver ◽  
John P.A. Ioannidis ◽  
Alexis Jones ◽  
Lauren von Klinggraeff ◽  
...  
Keyword(s):  
Sample Size ◽  
Behavioral Interventions ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Feasibility Studies ◽  
Small Sample ◽  
Effect Sizes ◽  
Absolute Difference ◽  
Meta Analyses ◽  
The Impact

Abstract Background: Pilot/feasibility or studies with small sample sizes may be associated with inflated effects. This study explores the vibration of effect sizes (VoE) in meta-analyses when considering different inclusion criteria based upon sample size or pilot/feasibility status. Methods: Searches were conducted for meta-analyses of behavioral interventions on topics related to the prevention/treatment of childhood obesity from 01-2016 to 10-2019. The computed summary effect sizes (ES) were extracted from each meta-analysis. Individual studies included in the meta-analyses were classified into one of the following four categories: self-identified pilot/feasibility studies or based upon sample size (N≤100, N>100, and N>370 the upper 75th of sample size). The VoE was defined as the absolute difference (ABS) between the re-estimations of summary ES restricted to study classifications compared to the originally reported summary ES. Concordance (kappa) of statistical significance between summary ES was assessed. Fixed and random effects models and meta-regressions were estimated. Three case studies are presented to illustrate the impact of including pilot/feasibility and N≤100 studies on the estimated summary ES.Results: A total of 1,602 effect sizes, representing 145 reported summary ES, were extracted from 48 meta-analyses containing 603 unique studies (avg. 22 avg. meta-analysis, range 2-108) and included 227,217 participants. Pilot/feasibility and N≤100 studies comprised 22% (0-58%) and 21% (0-83%) of studies. Meta-regression indicated the ABS between the re-estimated and original summary ES where summary ES were comprised of ≥40% of N≤100 studies was 0.29. The ABS ES was 0.46 when summary ES comprised of >80% of both pilot/feasibility and N≤100 studies. Where ≤40% of the studies comprising a summary ES had N>370, the ABS ES ranged from 0.20-0.30. Concordance was low when removing both pilot/feasibility and N≤100 studies (kappa=0.53) and restricting analyses only to the largest studies (N>370, kappa=0.35), with 20% and 26% of the originally reported statistically significant ES rendered non-significant. Reanalysis of the three case study meta-analyses resulted in the re-estimated ES rendered either non-significant or half of the originally reported ES. Conclusions: When meta-analyses of behavioral interventions include a substantial proportion of both pilot/feasibility and N≤100 studies, summary ES can be affected markedly and should be interpreted with caution.

scholarly journals A classification of motivation and behavior change techniques used in self-determination theory-based interventions in health contexts.

2020 ◽  
Vol 6 (4) ◽  
pp. 438-455 ◽  
Author(s):  
Pedro J. Teixeira ◽  
Marta M. Marques ◽  
Marlene N. Silva ◽  
Jennifer Brunet ◽  
Joan L. Duda ◽  
...  
Keyword(s):  
Behavior Change ◽  
Self Determination Theory ◽  
Self Determination ◽  
Behavior Change Techniques ◽  
And Behavior
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