Ontario COVID-19 and Kids Mental Health Study: a study protocol for the longitudinal prospective evaluation of the impact of emergency measures on child and adolescent mental health during the COVID-19 pandemic
Bibliographic record
Abstract
INTRODUCTION: The COVID-19 pandemic has impacted the mental health (MH) of children, adolescents and parents. Whereas youth with MH disorders and neurodevelopmental disorders (NDD) may be at higher risk for exacerbations in emotional and behavioural distress, children and adolescents without pre-existing MH disorders or NDD may also experience MH deterioration due to increases in stress, changes in health behaviours, loss of activities/school closures or loss of resources. Little is known about the impact of the COVID-19 emergency measures (EMs) on children's MH over the course of the pandemic. METHODS AND ANALYSIS: Longitudinal study of four well-established, pre-existing cohorts in Ontario (two recruited in clinical settings, two recruited in community settings). Primary outcomes include the impact of EMs on six MH domains: depression, anxiety, irritability, inattention, hyperactivity and obsessive-compulsive behaviours. Risk and protective factors related to youth MH profiles and trajectories will be identified. In addition, the effects of school mitigation strategies, changes in MH services and family factors (ie, parental MH, economic deprivation and family functioning) on children's MH will be examined. Data will be collected via repeated online survey measures selected to ensure reliability and validity for the proposed populations and distributed through the pandemic periods. ETHICS AND DISSEMINATION: The study was approved by institutional research ethics boards at participating research sites. Results will be disseminated through a robust knowledge translation partnership with key knowledge users. Materials to inform public awareness will be co-developed with educators, public health, and MH and health service providers. Connections with professional associations and MH advocacy groups will be leveraged to support youth MH policy in relation to EMs. Findings will further be shared through conference presentations, peer-reviewed journals and open-access publications.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".