Examining the impacts of the COVID-19 pandemic on family mental health in Canada: findings from a national cross-sectional study
Bibliographic record
Abstract
Objectives In the first wave of the COVID-19 pandemic, social isolation, school/child care closures and employment instability have created unprecedented conditions for families raising children at home. This study describes the mental health impacts of the COVID-19 pandemic on families with children in Canada. Design, setting and participants This descriptive study used a nationally representative, cross-sectional survey of adults living in Canada (n=3000) to examine the mental health impacts of the COVID-19 pandemic. Outcomes among parents with children <18 years old living at home (n=618) were compared with the rest of the sample. Data were collected via an online survey between 14 May to 29 May 2020. Outcome measures Participants reported on changes to their mental health since the onset of the pandemic and sources of stress, emotional responses, substance use patterns and suicidality/self-harm. Additionally, parents identified changes in their interactions with their children, impacts on their children’s mental health and sources of support accessed. Results 44.3% of parents with children <18 years living at home reported worse mental health as a result of the COVID-19 pandemic compared with 35.6% of respondents without children <18 living at home, χ 2 (1, n=3000)=16.2, p<0.001. More parents compared with the rest of the sample reported increased alcohol consumption (27.7% vs 16.1%, χ 2 (1, n=3000)=43.8, p<0.001), suicidal thoughts/feelings (8.3% vs 5.2%, χ 2 (1, n=3000)=8.0, p=0.005) and stress about being safe from physical/emotional domestic violence (11.5% vs 7.9%, χ 2 (1, n=3000)=8.1, p=0.005). 24.8% (95% CI 21.4 to 28.4) of parents reported their children’s mental health had worsened since the pandemic. Parents also reported more frequent negative as well as positive interactions with their children due to the pandemic (eg, more conflicts, 22.2% (95% CI 19.0 to 25.7); increased feelings of closeness, 49.7% (95% CI 45.7 to 53.7)). Conclusions This study identifies that families with children <18 at home have experienced deteriorated mental health due to the pandemic. Population-level responses are required to adequately respond to families’ diverse needs and mitigate the potential for widening health and social inequities for parents and children.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 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".