Videogames That Encourage Healthy Behavior Did Not Alter Fasting Insulin or Other Diabetes Risks in Children: Randomized Clinical Trial

Baranowski, Tom; Baranowski, Janice; Chen, Tzu-An; Buday, Richard; Beltran, Alicia; Dadabhoy, Hafza; Ryan, Courtney; Lu, Amy Shirong

doi:10.1089/g4h.2018.0097

Cited by 13 publications

(14 citation statements)

References 41 publications

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“…Ninety-one full text articles were reviewed for inclusion; 55 articles [ 18 – 24 , 33 , 34 , 38 – 83 ] representing 54 unique RCTs were identified as meeting the inclusion criteria for the qualitative synthesis (Fig. 1 ).…”

Section: Resultsmentioning

confidence: 99%

“…These findings may provide important context in which to interpret the results; however, as more studies emerge, it will be valuable to explore potential differences in intervention effects for studies with different types of “active” comparators such as comparing effects between RCTs with active educational/attentional controls versus active, evidence-based intervention comparators. Many studies tested the efficacy of the technology-based intervention by comparing outcomes to those in non-active control conditions [ 18 , 38 , 46 , 50 , 52 , 59 , 62 , 65 , 75 , 77 , 78 ]. Among those studies that found positive effects, it is unclear whether that is driven by the type of technology; the sample population (e.g., clinical, adolescent); the intervention content, duration, dose; or a complex interplay of several or all these components.…”

Section: Discussionmentioning

confidence: 99%

“…Research is needed to understand how to address challenges involved in recruiting pediatric populations [ 103 ]. Attrition is also a noteworthy challenge highlighted in this review [ 18 , 23 , 43 , 83 ], with some studies reporting as high as 70% attrition [ 45 ]. This challenge is not exclusive to mHealth/eHealth interventions and was reported across study conditions.…”

Section: Discussionmentioning

confidence: 99%

“…Means and standard deviations, or effect estimates and standard errors, were extracted from all included articles (see Appendix C for tables of data that were extracted or provided by authors to calculate effect sizes). When data were not reported, authors were contacted ( n = 5), of which two provided unpublished raw means and standard deviations for the present analyses [ 18 , 19 ]. The studies of authors who did not provide data were excluded from the meta-analysis but included in the narrative review [ 20 – 22 ].…”

Section: Methodsmentioning

confidence: 99%

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Harnessing technological solutions for childhood obesity prevention and treatment: a systematic review and meta-analysis of current applications

et al. 2021

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Background Technology holds promise for delivery of accessible, individualized, and destigmatized obesity prevention and treatment to youth. Objectives This review examined the efficacy of recent technology-based interventions on weight outcomes. Methods Seven databases were searched in April 2020 following PRISMA guidelines. Inclusion criteria were: participants aged 1–18 y, use of technology in a prevention/treatment intervention for overweight/obesity; weight outcome; randomized controlled trial (RCT); and published after January 2014. Random effects models with inverse variance weighting estimated pooled mean effect sizes separately for treatment and prevention interventions. Meta-regressions examined the effect of technology type (telemedicine or technology-based), technology purpose (stand-alone or adjunct), comparator (active or no-contact control), delivery (to parent, child, or both), study type (pilot or not), child age, and intervention duration. Findings In total, 3406 records were screened for inclusion; 55 studies representing 54 unique RCTs met inclusion criteria. Most (89%) included articles were of high or moderate quality. Thirty studies relied mostly or solely on technology for intervention delivery. Meta-analyses of the 20 prevention RCTs did not show a significant effect of prevention interventions on weight outcomes ( d = 0.05, p = 0.52). The pooled mean effect size of n = 32 treatment RCTs showed a small, significant effect on weight outcomes ( d = ‒0.13, p = 0.001), although 27 of 33 treatment studies (79%) did not find significant differences between treatment and comparators. There were significantly greater treatment effects on outcomes for pilot interventions, interventions delivered to the child compared to parent-delivered interventions, and as child age increased and intervention duration decreased. No other subgroup analyses were significant. Conclusions Recent technology-based interventions for the treatment of pediatric obesity show small effects on weight; however, evidence is inconclusive on the efficacy of technology based prevention interventions. Research is needed to determine the comparative effectiveness of technology-based interventions to gold-standard interventions and elucidate the potential for mHealth/eHealth to increase scalability and reduce costs while maximizing impact.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Harnessing technological solutions for childhood obesity prevention and treatment: a systematic review and meta-analysis of current applications

et al. 2021

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“…Serious games are games which are applied in non-gaming contexts [3], and have motivational and enjoyable characteristics [4,5,6]. Serious games for health-related behavioral change are becoming increasingly available [7,8,9,10,11]. There is evidence that serious games can enhance the long-term retention of information and can promote behavioral change maintenance [6,12].…”

Section: Introductionmentioning

confidence: 99%

Short-Term Effects of the Serious Game “Fit, Food, Fun” on Nutritional Knowledge: A Pilot Study among Children and Adolescents

et al. 2019

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“Serious games” are a novel and entertaining approach for nutritional education. The aim of this pilot study was to evaluate the short-term effectiveness of “Fit, Food, Fun” (FFF), a serious game to impart nutritional knowledge among children and adolescents. Data collection was conducted at two secondary schools in Bavaria, Germany. The gameplay intervention (gameplay group; GG) consisted of a 15-minute FFF gameplay session during each of three consecutive days. The teaching intervention (teaching group; TG) was performed in a classic lecture format. Nutritional knowledge was evaluated via questionnaires at baseline and post-intervention. Statistical analyses were performed using R (R Core Team, 2018). In total, baseline data were available for 39 participants in the GG and 44 participants in the TG. The mean age was 13.5 ± 0.7 years in the GG and 12.8 ± 0.9 years in the TG. There was a significant (p-value < 0.001) improvement in nutritional knowledge in both intervention groups. Moreover, a between-group difference with a significantly (p-value = 0.01) higher increase in nutritional knowledge was detected for the TG. This pilot study provides evidence for the short-term effectiveness of both educational interventions on the improvement in nutritional knowledge. Finally, the FFF game might be an adequate educational tool for the transfer of nutritional knowledge among children and adolescents.

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School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18

Neil-Sztramko

Caldwell

Dobbins

2021

Cochrane Database of Systematic Reviews

123

104

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Videogames That Encourage Healthy Behavior Did Not Alter Fasting Insulin or Other Diabetes Risks in Children: Randomized Clinical Trial

Cited by 13 publications

References 41 publications

Harnessing technological solutions for childhood obesity prevention and treatment: a systematic review and meta-analysis of current applications

Harnessing technological solutions for childhood obesity prevention and treatment: a systematic review and meta-analysis of current applications

Short-Term Effects of the Serious Game “Fit, Food, Fun” on Nutritional Knowledge: A Pilot Study among Children and Adolescents

School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18

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