Effectiveness of active video games in overweight and obese adolescents: a systematic review and meta-analysis of randomized controlled trials
Bibliographic record
Abstract
PURPOSE: The purpose of this review was to assess the effect of active video games among overweight and obese adolescents. METHODS: A systematic review and meta-analysis were conducted using records from the English-language electronic databases MEDLINE, the Web of Science, and PubMed. These databases were searched from January 2010 to December 2020 using the keywords (adolescent*) AND (overweight OR obese *) AND (active video games OR exergaming * OR video game*). RESULTS: Five articles met the inclusion criteria. Four studies were conducted in the United States of America and 1 study was conducted in Canada. In addition, all included articles had a randomized controlled trial study design. It was determined that the sample size of the studies was 30-46 participants and there were a total of 195 overweight and obese adolescents across the included studies. Active video gaming was negatively associated with changes in body mass index percentile (mean difference [MD], -1.77; 95% confidence interval [CI], -2.55 to -0.99; p<0.001) and total cholesterol (MD, -11.16; 95% CI, -16.64 to -5.68; p<0.001). CONCLUSION: Playing active video games can reduce both the body mass index percentile and total cholesterol in overweight and obese adolescents. Active video games can provide a different method for combating childhood obesity. High-quality randomized controlled trials are recommended to assess the impact of game-based interventions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.119 | 0.015 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".