Reallocating time between movement behaviors has implications for post-secondary students’ mental health and wellbeing
Bibliographic record
Abstract
Objective: Examine the theoretical impact of reallocating time between self-reported moderate-to-vigorous physical activity (MVPA), recreational screen time, and sleep on psychological distress and mental wellbeing among post-secondary students.Participants: 24,742 post-secondary students (Mage=24.3±7.72 SD years; 66.4% female) from Cycle 1 of the Canadian Campus Wellbeing Survey. Methods: Cross-sectional isotemporal substitution modelling. Results: Replacing 20 min of screen time with either sleep or MVPA was associated with lower psychological distress, greater mental wellbeing, lower odds of reporting mild-to-severe psychological distress and low mental wellbeing, except for reallocating screen time to sleep among students who exceed the sleep guideline recommendations. Reallocating time between sleep and MVPA revealed noteworthy patterns: replacing sleep with MVPA was associated with greater mental wellbeing but not lower psychological distress.Conclusions: Findings highlight the potential mental health benefits of replacing screen time with sleep or MVPA as an integrative whole day approach to promote campus wellness.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".