<scp>COVID</scp>‐19–related stressors, family functioning and mental health in Canada: Test of indirect effects
Bibliographic record
Abstract
Abstract Objective The purpose of this study was to examine how family relationships relate to stress and mental health during the COVID‐19 pandemic response in Ontario, Canada. Background Generally, families are pillars of strength during times of stress and burden. However, enduring stressors, such as the COVID‐19 pandemic, may challenge the cohesion and caregiving functions of families. Researchers are just beginning to explore stressors associated with the COVID‐19 pandemic, family functioning, and mental health in the general population. Rooted in stress process theory, the current study disentangles the complex pathways through which COVID‐19‐pandemic–related stressors and family cohesion and family conflict are associated with the mental health of the general population in Ontario, Canada. Method Data were collected using an online survey from April 22, 2020, to May 22, 2020. Through convenience sampling, 933 individuals were recruited from the general population in Ontario, Canada. Results Findings suggest that COVID‐19‐pandemic–related stressors are associated with anxiety directly and indirectly through eroding family cohesion and exacerbating family conflicts. Conclusion By looking into family cohesion and family conflicts simultaneously, this investigation has taken a nuanced approach to studying the influence of COVID‐19‐pandemic–related stressors on family functioning. Implications These findings suggest that efforts to assist families in bolstering cohesiveness may be helpful. Further, diminishing family conflicts, especially during community or global disasters, such as epidemics, pandemics, or natural disasters, should be a focus in both practice and future research.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".