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The Relation of Pain and Caregiver Burden in Informal Older Adult Caregivers

2010· article· en· W1943520491 on OpenAlexafffund
Shannon L. Jones, Heather D. Hadjistavropoulos, Jennifer Amy Janzen, Thomas Hadjistavropoulos

Bibliographic record

VenuePain Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsUniversity of Regina
FundersCanadian Institutes of Health Research
KeywordsCaregiver burdenDepression (economics)MedicineMultilevel modelFamily caregiversChronic painCohortPain catastrophizingClinical psychologyGerontologyPsychiatryDementiaDisease

Abstract

fetched live from OpenAlex

OBJECTIVE: Pain in older adults is highly prevalent and although informal caregiving is commonly provided by an older cohort, the relationship between pain and caregiving has seldom been examined. Our goal was to study the associations between caregiver pain, depression, and caregiver burden in a sample of older adult caregivers. DESIGN: Questionnaires were completed by 116 caregivers (mean age=73.34) to measure the caregivers' overall pain, chronic pain status, caregiver burden and its five dimensions, depression, and the care recipients' level of disability. Hierarchical linear regression analyses evaluated the extent to which care recipient and caregiver variables, including caregiver pain and depression, were related to high levels of caregiver burden. RESULTS: The overall level of pain reported by the caregiver was a significant predictor of overall caregiver burden and the emotional and physical dimensions of caregiver burden, whereas a number of care recipient variables (e.g., disability level) were significant predictors of the social, emotional, and time dependence dimensions of caregiver burden. CONCLUSIONS: This is the first study to investigate the relationships among caregiver pain and caregiver burden in informal older adult caregivers. We conclude that the role of caregiver pain has been greatly underestimated in the caregiver burden literature and suggest a need for interdisciplinary collaboration for effective management of caregiver burden in older adults.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.231
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations73
Published2010
Admission routes2
Has abstractyes

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