PREVENTING CHILD AND ADOLESCENT ANXIETY DISORDERS: OVERVIEW OF SYSTEMATIC REVIEWS
Bibliographic record
Abstract
Overviews of systematic reviews (OSRs) provide rapid access to high quality, consolidated research evidence about prevention intervention options, supporting evidence-informed decision-making, and the identification of fruitful areas of new research. This OSR addressed three questions about prevention strategies for child and adolescent anxiety: (1) Does the intervention prevent anxiety diagnosis and/or reduce anxiety symptoms compared to passive controls? (2) Is the intervention equal to or more effective than active controls? (3) What is the evidence quality (EQ) for the intervention? Prespecified inclusion criteria identified systematic reviews and meta-analyses (2000-2014) with an AMSTAR quality score ≥ 3/5. EQ was rated using Oxford evidence levels EQ1 (highest) to EQ5 (lowest). Three reviews met inclusion criteria. One narrative systematic review concluded school-based interventions reduce anxiety symptoms. One meta-analysis pooled 65 randomized controlled trials (RCTs; any intervention) and reported a small, statistically significant reduction in anxiety symptoms and diagnosis incidence. Neither review provided pooled effect size estimates for specific intervention options defined by type (i.e., universal/selective/indicated), intervention content, or comparison group (i.e., passive/active control), thus precluding EQ ratings. One meta-analysis pooled trials of vigorous exercise and reported small, nonstatistically significant reductions in anxiety symptoms for comparisons against passive and active controls (EQ1). Better use of primary studies in meta-analyses, including program-specific pooled effect size estimates and network meta-analysis is needed to guide evidence-informed anxiety prevention program choices. RCTs of innovative community/primary care based interventions and web-based strategies can fill knowledge gaps.
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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 | 0.014 | 0.056 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.012 |
| Bibliometrics | 0.018 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".