Personal Goals as Moderators of a Cognitive-Behavioural Intervention for Depressive Symptoms in College Students
Bibliographic record
Abstract
The objective of this pilot study was to assess the effects of the indicated level of a multilevel preventive program on depressive symptoms and to examine personal goals appraisal as a moderating factor among college students aged between 16 and 29 years old with depressive symptoms. Students were screened for anxious and depressive symptoms in the beginning of their semester. Those who scored higher than the cut-off score were invited to be part of the intervention group. A comparison group was formed with students who did not wish to participate with the intervention group. Thirty-six students were included in the analyses. Both groups completed pre-test, post-test, and follow-up questionnaires. Results indicated a reduction in depressive symptoms at post-test and these gains were maintained three months later. Students in the intervention group with a more positive appraisal of their academic and career goals showed fewer depressive symptoms than students in the intervention group with a less positive appraisal of these goals. Limitations and implications for further implementation are discussed.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".