Universal, selective and indicated parenting interventions to prevent the development of adverse mental health outcomes in youth: a meta-review of systematic reviews
Bibliographic record
Abstract
BACKGROUND: Preventive interventions in the form of parenting support can reduce the risk of mental disorders in children. Summarising the effectiveness of parenting interventions across different levels of prevention can inform the prioritisation of the intervention. OBJECTIVES: We conducted a meta-review of systematic reviews and meta-analyses on universal, selective and indicated parenting interventions to prevent adverse mental health outcomes in youth. STUDY SELECTION AND ANALYSIS: PubMed, Ovid, Embase and PsycNet were searched. Systematic reviews consisting of randomised controlled trials of preventative parenting interventions were included. We provided a narrative synthesis of the results and assessed the quantity and quality of evidence for each level of prevention (ie, universal, selective, indicated) and mental health outcome. FINDINGS: We identified 32 systematic reviews and meta-analyses, which included 354 randomised controlled trials, consisting of over 74 558 children and adolescents. Universal parenting interventions were effective in delaying the initiation of alcohol and cannabis use, but did not have consistent findings in preventing disruptive behaviour and mood disorders. Selective interventions were predominantly beneficial for disruptive behavioural problems across a variety of risk factors. Indicated interventions found substantial and consistent evidence for reducing problems in children with behavioural problems. Caution is warranted when interpreting findings, as the overall confidence rating of most reviews was very low, especially in the reporting of study selection and justifying exclusions in the AMSTAR-2. CONCLUSIONS: Our findings highlight the need for robust evidence synthesis. Despite the limitations of the current evidence base, parenting interventions hold promise for preventing mental health disorders.
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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 | 0.031 | 0.107 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.021 | 0.035 |
| Bibliometrics | 0.016 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| 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".