Indirect effects of COVID-19 on child and adolescent mental health: an overview of systematic reviews
Bibliographic record
Abstract
INTRODUCTION: To control the spread of COVID-19, mitigation strategies have been implemented globally, which may have unintended harmful effects on child and adolescent mental health. This study aims to synthesise the indirect mental health impacts on children and adolescents globally due to COVID-19 mitigation strategies. METHODS: We included relevant reviews from MEDLINE, Embase, PsycINFO, LILACS, CINAHL, The Cochrane Library and Web of Science until January 2022 that examined the impact of COVID-19-related lockdown and stay-at-home measures on the mental health of children and adolescents. Data extraction and quality assessments were completed independently and in duplicate by BC and LH. A Measurement Tool to Assess Systematic Reviews-2 was used to assess the methodological quality. RESULTS: Eighteen systematic reviews, comprising 366 primary studies, found a pooled prevalence of 32% for depression (95% CI: 27 to 38, n=161 673) and 32% for anxiety (95% CI: 27 to 37, n=143 928) in children and adolescents globally following COVID-19 mitigation measures. Subgroup analyses also uncovered important differences for both depression and anxiety by World Health Organization regions with few studies from Africa and relative high burden of anxiety and depression in the Eastern Mediterranean region. CONCLUSIONS: Our findings reveal a high prevalence of depression and anxiety in children and adolescents during the COVID-19 pandemic, globally, compared with prepandemic estimates. These findings highlight the urgency for governments and policymakers to strengthen mental health systems in the COVID-19 recovery, especially in low-and middle-income countries where compounding psychological stress, access and affordability of care and discrepant reporting of mental health in this population remains a challenge. We also provide insight into how to alter mitigation strategies to reduce the unintended negative consequences for the health and well-being of children and adolescents in future pandemics. PROSPERO REGISTRATION NUMBER: CRD42022309348.
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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 | 0.024 | 0.108 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.015 |
| Bibliometrics | 0.017 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| 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".