Association between self-efficacy and anxiety symptoms in adolescents: Secondary analysis of a preventive program
Bibliographic record
Abstract
Anxiety disorders are common among adolescents. To avert long-term adverse consequences, several school-based prevention programs have been created, yet few have explored the influence of emotional and social self-efficacy as a psychosocial competence on anxiety symptoms. In the context of the implementation of a school-situated anxiety prevention program named HORS-PISTE, the present study examines descriptions of anxiety symptoms associated with social anxiety, generalized anxiety, separation anxiety and panic anxiety, and two domains of self-efficacy (social and emotional), as well as an exploration of the association between these two elements, and the predictive effect of self-efficacy on anxiety symptoms. The present study included 1705 adolescents from 15 different schools in 4 different regions of Québec, Canada. Participants completed questionnaires assessing their anxiety symptoms and self-efficacy levels before and after completing the HORS-PISTE program. Our findings suggest that: emotional/social self-efficacy and anxiety symptoms differ according to certain characteristics in adolescents; self-efficacy and anxiety symptoms present a strong association in the context of the implementation of a school-based anxiety prevention program; self-efficacy has a predictive effect on anxiety symptoms; and self-efficacy presents a moderate interaction effect on anxiety symptoms change over time.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".