Consequences of the Coronavirus disease 2019 pandemic on child and adolescent mental, psychosocial, and physical health: A scoping review and interactive evidence map
Bibliographic record
Abstract
Effects of the Coronavirus disease 2019 (COVID-19) pandemic on children stem beyond immediate infectious and post-infectious risks. Our aim was to conduct a scoping review and produce an online Interactive Evidence Map (IEM) highlighting available literature around unintended effects of the pandemic on children’s and adolescents’ mental, psychosocial, and physical health. A search was run monthly in MEDLINE, PsycINFO, CENTRAL, and Cochrane COVID-19 Study Register from May 1 st 2021 through April 30 th 2022. All articles involving children and adolescents under 18 years of age relating to any unintended mental, psychosocial, and physical health consequences of the pandemic and resultant restrictions were included. Data were extracted and topics categorized, with corresponding data uploaded into EPPI-Reviewer and transferred to EPPI-Mapper for visualization. A total of 14,555 citations were screened and 826 (6%) articles included. Most articles reported on mental health outcomes, particularly anxiety ( n = 309, 37%) and depression ( n = 294, 36%). Psychosocial outcomes related to lockdowns such as loneliness ( n = 120, 15%) and impact on adolescent relationships with others ( n = 149, 18%) were also reported. Fewer articles examined physical consequences, but those that did mostly focused on child abuse ( n = 73, 9%). Overall, currently mapped literature focuses on consequences related to mental health outcomes such as anxiety and depression.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".