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Record W2125700995 · doi:10.1177/0898264304274252

Caregiver Psychological Adjustment and Institutionalization of Persons With Alzheimer’s Disease

2005· article· en· W2125700995 on OpenAlexaff
David W. Gilley, Judith J. McCann, Julia L. Bienias, Denis A. Evans

Bibliographic record

VenueJournal of Aging and Health · 2005
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsInstitute of Aging
FundersNational Institute on Aging
KeywordsInstitutionalisationCaregiver burdenHazard ratioDementiaPsychologyFamily caregiversDiseaseClinical psychologyAffect (linguistics)Activities of daily livingProportional hazards modelCohortConfidence intervalPsychiatryGerontologyMedicine

Abstract

fetched live from OpenAlex

UNLABELLED: This prospective study examines the relationship between caregiver psychological adjustment and institutionalization of persons with Alzheimer's disease (AD). METHOD: A 3-year longitudinal study was conducted with a clinic-based cohort of 396 persons with AD and their respective family caregivers. Caregiver adjustment was sequentially measured in 3-month intervals using standard scales of appraisal (perceived burden and satisfaction) and emotion (depressive symptoms and positive affect). RESULTS: In multivariable proportional hazards regression models predicting time to institutionalization controlling for AD severity, hazard ratios were significant for appraisal measures of caregiver adjustment, perceived burden (1.053; 95% confidence interval [CI], 1.014, 1.093), and satisfaction (.929; 95% CI, .883, .977). In contrast, levels of caregivers' positive and negative emotion did not reliably predict institutionalization. DISCUSSION: The findings highlight the importance of caregiver appraisals in decisions to institutionalize persons with a dementia syndrome, but the limited impact of caregiver emotion was unexpected and requires further study.

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)0.000
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 score0.142
Threshold uncertainty score0.102

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.065
GPT teacher head0.405
Teacher spread0.340 · 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

Citations37
Published2005
Admission routes1
Has abstractyes

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