Efficacy of a Combined Aerobic Exercise and Mindfulness Intervention on Depressive Symptoms: A Pilot Randomized Controlled Trial
Bibliographic record
Abstract
Purpose: The current study aimed to preliminarily examine the effectiveness and acceptability of a combined exercise + mindfulness intervention on depressive symptoms among healthy Chinese university students (study 1) and those with subthreshold depression (study 2). Methods: Two 2 (intervention group vs. control group) × 2 (pretest vs. posttest) randomized controlled trials were conducted in healthy students without subthreshold depression and students with subthreshold depression, respectively. Description analysis, linear mixed-effects models, and qualitative analysis were used in both studies. Results: Results of both studies showed that the combined intervention was acceptable and effective in preventing and reducing depressive symptoms, with small effect sizes for healthy students ( d = −0.47) and large effect sizes for subthreshold depression students ( d = −1.51), respectively. Conclusions: The aerobic exercise plus mindfulness intervention was evidenced to be a preventive and therapeutic measure of depressive symptoms among university students.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".