Exploring Parenting and Children’s Mental Health Pre and During the COVID-19 Pandemic
Bibliographic record
Abstract
The COVID-19 pandemic has significantly impacted the mental health of children and families. This study sought to further explore the relationship between the pandemic (accounting for age and sex) and children's mental health outcomes, parenting quality, and service complexity. Data consisted of interRAI Child and Youth Mental Health Assessments from 5,067 children and youth between the age of 4-18-years-old. Surprisingly, our findings revealed the pandemic was not a significant predictor of parenting quality and children's mental health. Significantly lower levels of service complexity during the first few months of the pandemic were observed. Compared to younger males, older female children were more likely to experience internalizing symptoms and less likely to display externalizing symptoms. Older children (vs. younger children) were more likely to receive low parenting quality and experience service complexity. Clinical implications, limitations, and future directions are discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".