The Prevention of Depression in Children and Adolescents: A Review
Bibliographic record
Abstract
OBJECTIVE: To review the recent literature on the prevention of clinical diagnoses of depression in children and adolescents. METHOD: Several preventive intervention programs targeting depressive diagnoses in youth were reviewed. These programs based their prevention strategies on cognitive-behavioural and (or) interpersonal approaches, which have been found to be helpful in the treatment of depression. In addition, family-based prevention strategies were reviewed. Also, nonspecific risk factors for youth depression, including poverty and child maltreatment, were discussed as important considerations in prevention programs targeting youth depression. RESULTS: In general, successful prevention programs targeting youth depression are based on evidence-based treatment programs for youth depression, structured and outlined in manuals, involve careful training of personnel implementing the protocols, and include assessment of fidelity to the intervention protocols. The programs were consistent with cognitive-behavioural and (or) interpersonal psychotherapy traditions. Overall, it appears that there is reason for hope regarding the role of interventions in preventing depressive disorders in youth. CONCLUSIONS: Several new directions for future research on the prevention of depression in youth were outlined. Future research is needed to establish an empirical base for the prevention of depression in high-risk youth and should: focus on targeted and indicated prevention approaches, attend to moderators of intervention effects, include approaches that aim to enhance the family environment, attend to nonspecific risk factors for disorder, and focus on the dissemination phase of prevention research.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".