Active Video Game on Children and Adolescents' Physical Activity and Weight Management: A Network Meta‐Analysis

荟萃分析 随机对照试验 医学 物理疗法 心理干预 内科学 精神科
作者
Robin S.T. Ho,Eddie Ka‐Yui Chan,Kenneth Kang‐Yue Liu,Stephen Heung‐Sang Wong
出处
期刊:Scandinavian Journal of Medicine & Science in Sports [Wiley]
卷期号:32 (8): 1268-1286 被引量:9
标识
DOI:10.1111/sms.14176
摘要

We synthesized evidence on the effectiveness of active video games (AVGs) versus no AVG-applied comparators on various physical activity (PA) levels and weight management outcomes in children and adolescents. We analyzed the comparative evidence on different sub-categories of AVGs and ranking the best option. An overview of systematic reviews (SRs) and network meta-analysis (NMA) (PROSPERO: CRD42021248499) was employed. A search for relevant literature published in English was conducted in six electronic databases from their inception until April 2021. SRs consisting of randomized control trials (RCTs) and satisfying our PICOS inclusion criteria were included. RCTs included were a comparison of groups among children and adolescents between 6 and 21, where groups with AVG interventions were compared with groups without them. Direct head-to-head pairwise meta-analyses were conducted using weighted mean difference between the two groups, and the comparative effectiveness of different sub-categories of AVGs was analyzed indirectly using NMA. Overall, 17 SRs were identified from the 6036 screened citations. Of these, 350 citations were retrieved, and 12 RCTs were finally included. Compared with no AVG group, AVG groups were shown to be more effective in achieving vigorous, moderate-to-vigorous, and moderate PA levels, and decreased BMI and body fat. NMA showed that rhythmic dance games had the highest probability of being the most effective sub-category for reducing BMI. AVGs are effective in attaining vigorous, moderate to vigorous, and moderate PA levels, and reducing BMI and body fat among children and adolescents. Dance appears to be the best option for reducing BMI among AVG subcategories.
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