Child Psychological Functioning During the COVID-19 Lockdown: An Ecological, Family-Centered Approach
Bibliographic record
Abstract
OBJECTIVE: To evaluate how sociodemographic characteristics and various aspects of parent well-being, family functioning, parent-child relationship, and child characteristics are related to psychological functioning in children aged 9 to 12 years during the COVID-19 lockdown. METHOD: Participants included 144 children aged 9 to 12 years and their parents who lived in the province of Quebec, Canada, during the COVID-19 mandatory lockdown. Parents and children were administered a phone-based survey in which various child, parent, parent-child, and family characteristics were assessed. RESULTS: Results showed that higher internalizing problems in children were related to greater depressive symptoms in parents, lower attachment security to parents, and greater aversion to aloneness in children. Results on externalizing behavior problems showed that more problems were associated with more family dysfunction and chaos and lower attachment security to parents. Finally, results on children's anxiety toward COVID-19 showed that more anxiety was associated with greater parental anxiety toward COVID-19 and more child aversion to aloneness. CONCLUSION: Our findings showed that even during an unusual and stressful context such as a pandemic, proximal variables such as the attachment relationship that have been known to be closely associated with adaptation are significantly related to child psychological functioning. Such observations are important because they highlight factors that may accentuate child vulnerability in times of a pandemic and shed light on potential intervention targets.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".