Parent psychological distress and parent-child relationships two years into the COVID-19 pandemic: Results from a Canadian cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Mental health impacts of the COVID-19 pandemic have not been felt equally within populations. Parents with children living at home were early on identified as a population at heightened mental health risk, with concerns about the potential long-term impacts of the pandemic on parents' mental health, family functioning, and children's well-being. This study investigates impacts of the pandemic on parents' psychological distress, contextual sources of distress, and associations with family functioning nearly two years into the pandemic. METHODS AND FINDINGS: Data were drawn from a national cross-sectional survey of adults living in Canada in November and December 2021 that was representative by age, gender, household income, and region. Parents with children < 18 years old living at home (N = 553) reported their experiences of psychological distress, pandemic-related stressors, coping mechanisms, and family functioning (changes in parent-child interactions, children's anxiety). Chi-square tests, logistic regression, and linear regression analyses examined sociodemographic inequities in parents' levels of psychological distress, sources and mitigating mechanisms of distress, and associations between psychological distress and family functioning. Nearly two years into the pandemic, parents with children at home reported nearly double pre-pandemic population estimates of moderate to severe psychological distress. Psychological distress was more frequently reported among parents with pre-existing mental health conditions, disabilities, and financial stressors. Parents with greater psychological distress reported increases in negative parent-child interactions due to the pandemic and higher anxiety among their children. CONCLUSIONS: This study identifies sustained negative impacts of the pandemic on parents' mental health and family functioning in Canada nearly two years into the pandemic, despite high vaccine uptake and declining infection rates. Disparities in financial stress, social support structures, and pre-existing mental health were identified as underlying sources of psychological distress. These results highlight that meaningful responses to promote mental health among parents and families must address social and structural inequities.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".