Caregiver Stress and Mental Health: Impact of Caregiving Relationship and Gender
Bibliographic record
Abstract
PURPOSE OF THE STUDY: This study compared the stress and mental health implications of caregiving to a spouse, children, siblings, other family members, friends, and others among middle-aged and older male and female caregivers. DESIGN AND METHODS: Multivariate regression analyses were conducted using 2007 Canadian General Social Survey data collected on a subsample of caregivers aged 45 and older. RESULTS: Our analyses revealed that for women, caring for a spouse or children was more stressful and detrimental to mental health than caring for parents or others. Similarly, for men, caring for a spouse and for children was more stressful than caring for others but did not adversely affect overall mental health. IMPLICATIONS: The findings suggest that spousal and child caregiving tend to be more rather than less stressful and detrimental to middle-aged and older caregivers' mental health than is caregiving to most others but that gender differences need to be considered.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".