Media use and health outcomes in adolescents: findings from a nationally representative survey.
Bibliographic record
Abstract
OBJECTIVE: Examine the association between quantity of media use and health outcomes in adolescents. METHOD: Multiple logistic regression analyses were conducted with the Canadian Community Health Survey 1.1 (youth aged 12-19 (n=9137)) to determine the association between hours of use of television/videos, video games, and computers/Internet, and health outcomes including depression, alcohol dependence, binge drinking, suicidal ideation, help-seeking behaviour, risky sexual activity, and obesity. RESULTS: Obesity was associated with frequent television/video use (Adjusted Odds Ratio (AOR) 1.10). Depression and risky sexual behaviour were less likely in frequent video game users (AOR 0.87 and 0.73). Binge drinking was less likely in frequent users of video games (AOR 0.92) and computers/Internet (AOR 0.90). Alcohol dependence was less likely in frequent computer/Internet users (AOR 0.89). CONCLUSIONS: Most health outcomes, except for obesity, were not associated with using media in youth. Further research into the appropriate role of media will help harness its full potential.
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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 | 0.003 | 0.005 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".