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Record W2898108221 · doi:10.1177/1471301218808607

Identity, relationship quality, and subjective burden in caregivers of persons with dementia

2018· article· en· W2898108221 on OpenAlexafffund
Joe Enright, Megan E. O’Connell, Camille Branger, Andrew Kirk, Debra Morgan

Bibliographic record

VenueDementia · 2018
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of Saskatchewan
FundersCanadian Institutes of Health ResearchCanadian Frailty NetworkAlzheimer SocietySaskatchewan Health Research Foundation
KeywordsDementiaCaregiver burdenPsychologyPsychological interventionPerceptionScale (ratio)Clinical psychologyFamily caregiversIdentity (music)Structural equation modelingGerontologyPsychiatryMedicineDisease

Abstract

fetched live from OpenAlex

The aim of the current study was to examine the associations between informal caregivers' perception of identity change in their care-partner, the quality of the caregiver/care-recipient relationship, and caregiver burden in a sample of 56 informal caregivers of persons with dementia. Most (96.4%) of the caregivers of persons who received a dementia diagnosis reported a perceived change in the identity of their care-partner. Caregivers' perception of relationship satisfaction was measured with the Burns Relationship Satisfaction Scale for premorbid relationship and current relationship quality, and caregiver burden was measured with the Zarit Burden scale. After controlling for variance due to dementia severity, premorbid relationship satisfaction, and current relationship satisfaction, caregivers' perceived change in the identity of the person with dementia accounted for significant variance in caregiver burden. Using a mediational model, we found support for a direct effect between perceived change in identity and caregiver burden, but we also found support for an indirect effect of relationship quality on the relation between perceived identity change and caregiver burden. The demonstrated model provides an empirically supported theoretical framework for guiding potential research and development of future interventions, which we suggest should emphasize dyads.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.016
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.043
GPT teacher head0.360
Teacher spread0.317 · 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

Citations32
Published2018
Admission routes2
Has abstractyes

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