Lean adolescents achieve higher intensities but not higher energy expenditure while playing active video games compared with obese ones
Bibliographic record
Abstract
BACKGROUND: While decreased physical activity and increased sedentary behaviours are incriminated for their role in the progression of obesity, active video games (AVG) may offer a new alternative to increase energy expenditure in youth. This study is the first to examine the effect of a 1-h AVG play on lean and obese adolescents' energy expenditure. METHODS: Body composition and aerobic fitness were assessed in 19 obese and 12 lean adolescent boys (12-15 years old). Participants performed a 1-h AVG session (Kinect Sports technology) while wearing a portable indirect calorimeter (K4b2) to assess their energy expenditure and heart rate. RESULTS: Body weight (91.0 ± 9.5 vs. 58.5 ± 12.4 kg), body mass index (32.2 ± 3.1 vs. 20.3 ± 1.6 kg m(-2) ) and body fat (38.1 ± 2.7 vs. 13.4 ± 3.9%) were significantly higher in obese adolescents (P < 0.001). Absolute energy expenditure was significantly higher in obese (P < 0.05) but not when corrected for body composition. Maximal heart rate reached during AVG was significantly higher in lean adolescents (190 ± 25 vs. 183 ± 28 bpm, P < 0.05). Time spent between 3 and 6 METs (Metabolic Equivalent Task) was not different between groups but time spent above 6 METs was higher in lean adolescents (P < 0.05). CONCLUSION: Although lean and obese adolescent boys experienced similar energy expenditure relative to their body size during a 1-h Kinect AVG session, lean adolescents spent more time in moderate-to-vigorous physical activity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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; a candidate call from one teacher head, not a consensus.
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".