Assessing the impact of caregiving for older parents on caregivers' health: Initial health status and trajectories of physical and mental health among midlife caregivers for parents and parents-in-law in Britain
Bibliographic record
Abstract
Assessing the impact of caregiving for older parents on caregivers' health is increasingly important in the context of population changes and curtailment of state provided services. This has been extensively studied but results are inconsistent, possibly reflecting a lack of attention to health-related selection into the caregiver role. We use data from a nationally representative UK longitudinal study to analyse differences in the health of people aged 40-69 at baseline by whether they were 'eligible' to provide parent care (with a living parent/parent-in-law) and by whether they subsequently assumed a caregiver role. We measured initial health status using a latent variable derived from three observer-recorded indicators as well as self-reported health. We analysed trajectories of physical and mental health over a seven-year follow-up for those providing intensive care (20+ hours per week) to a parent or parent-in-law, providers of lesser amounts of care, and non-caregivers. Outcomes were measured using the SF-12 indicators of mental and physical health. RESULTS: showed that those with a living parent or parent-in-law had better health than those lacking these relatives. However, among potential caregivers for a parent or parent-in-law, those assuming intensive caregiving had poorer initial health than non-caregivers or those who became providers of less intensive care. Fixed effects analyses of follow-up data showed that the mental health of intensive caregivers deteriorated. However, the physical health of intensive caregivers with low levels of education improved. RESULTS: show the importance of taking account of whether people are at risk of providing parental care and initial health status when assessing impacts of caregiving on health. They also indicate differential effects of caregiving on health depending on socio-demographic characteristics and reaffirm the need for greater supports for those providing substantial amounts of care to older parents.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".