Physical activity motivation mediates the association between depression symptomology and change in moderate-to-vigorous physical activity in first year university students
Bibliographic record
Abstract
The transition to university life is a time of significant lifestyle changes for young adults. The period of first year university is typically associated with poor changes in lifestyle behaviours such as a reduction in moderate-to-vigorous physical activity (MVPA). Understanding predictors of behaviour changes is important to inform programs and interventions. From a theoretical perspective, it may be that mental health relates to MVPA behaviour change, and motivation may mediate the association between mental health and MVPA behaviour change. Data were collected from University of Toronto incoming students at the beginning of their first year of university and near the end of the year. Participants completed self-report evaluations of depression symptoms, self-rated mental health, and motivational regulation at baseline and self-report MVPA was assessed at both baseline and in spring of the first year and residual change score was calculated. The associations were tested using hierarchical linear regression with the mediation macro. Autonomous motivation was a significant mediator of the association between both self-rated mental health (Point Estimate = .07, SE = .03; BCA CI = .02 to .12) depression symptoms (Point Estimate = -.06, SE = .04; BCA CI = -.17 to -.02) and change in MVPA (R2 = .11 and .10, respectively). These findings provide theoretical evidence for the importance of self-determined motivation in predicting MVPA in university students, and highlight the need to potentially identify students at risk for depressive symptoms and low self-rated mental health for targeted physical activity 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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".