Heart Rate Response To Interactive Video Games In Young Adults
Bibliographic record
Abstract
Interactive video games are increasingly becoming a popular activity among young adults. We have previously shown that interactive gaming (in a laboratory setting) leads to marked health benefits. However, little is known about the exercise intensities engaged in during free play, and whether these intensities meet international physical activity guidelines for health benefits. PURPOSE: To determine the exercise intensities exhibited during free play of interactive video games. METHODS: Five males (24 ± 2 yr) and five females (22 ± 1 yr) were observed during six one-hour sessions (one session/wk). During each session, participants were given the choice of playing with video games in either an interactive medium (i.e., while exercising) or an inactive medium (i.e., traditional video gaming). Participant behaviour was recorded via video cameras and sessions were coded according to the type of activity displayed. Coded behaviours were then grouped and analyzed in three behavioural clusters: interactive gaming (IG), non-gaming physical activity (NG), and sedentary behaviour (SB). Beat-by-beat heart rate was also recorded throughout each session. RESULTS: Young adults spent the majority of their time engaging in IG (61 ± 14% of the total time), with little time spent in traditional sedentary video game play (6 ± 16%). Females spent 60 ± 21% of total IG time at a heart rate which met or exceeded a level associated with the accrual of health benefits according to Health Canada/CSEP's guidelines. Approximately, 38 ± 9% was spent in "light effort' (i.e., 50-63% of heart rate max), 10 ± 5% was spent in the "moderate effort' zone (i.e., 64-76% of heart rate max) and 12 ± 25% was spent in the "vigorous effort' zone or above (i.e., 77-100% of heart rate max). In comparison, males spent 34 ± 28% of total IG time at a heart rate that met or exceeded the health benefit zone (14 ± 5% in "light effort', 11 ± 12% in "moderate effort', and 9 ± 14% in "vigorous effort'). CONCLUSION: Average heart rates attained during free play involving interactive video games are sufficient to meet international physical activity guidelines for health benefits. These findings have important implications for the design of physical activity interventions, specifically for young adults. FUNDING: Hampton Endowment Research Funds.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".