Impact of the COVID-19 pandemic on perceived changes in responsibilities for adult caregivers who support children and youth in Ontario, Canada
Bibliographic record
Abstract
Background The COVID-19 pandemic has created long-lasting changes in caregiving responsibilities, including but not limited to increased demands, loss of support, worsening mental and physical health, and increased financial worries. There is currently limited evidence regarding factors associated with perceived changes in caregiving responsibilities. Aims This observational study aimed to investigate factors (sociodemographic characteristics of caregivers and mental health and/or addiction concerns of the caregiver and their youth) that predict perceived negative changes in caregiving responsibilities among adult caregivers (aged 18+ years) of children and youth (aged 0–25 years) in Ontario, Canada, during the COVID-19 pandemic. Method Data were collected from 1381 caregivers of children and youth between January and March of 2022 through a representative cross-sectional survey completed online. Logistic regression was conducted to determine predictors contributing to perceived negative changes in caregiving responsibilities. Results Among the sociodemographic characteristics, only ethnicity significantly predicted outcome. Higher caregiver strain (odds ratio [OR] = 10.567, 95% CI = 6.614–16.882, P < 0.001), worsened personal mental health (OR = 1.945, 95% CI = 1.474–2.567, P < 0.001), a greater number of children/youth cared for per caregiver (OR = 1.368, 95% CI = 1.180–1.587, P < 0.001), dissatisfaction with the availability of social supports (OR = 1.768, 95% CI = 1.297–2.409, P < 0.001) and negative changes in mental well-being in at least one child/youth (OR = 2.277, 95% CI = 1.660–3.123, P < 0.001) predicted negative changes in caregiving responsibilities. Conclusion These results support further exploration of the implications of negative perceptions of caregiving responsibilities and what processes might be implemented to improve these perceptions and the outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".