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Record W1984516732 · doi:10.1016/j.jalz.2009.04.189

P1‐183: Psychological resilience and the well‐being of spousal caregivers of persons with alzheimer disease

2009· article· en· W1984516732 on OpenAlexaffabout
John A. Naslund, B. Lynn Beattie, Anthony L. Kupferschmidt, Norm O’Rourke

Bibliographic record

VenueAlzheimer s & Dementia · 2009
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia
Fundersnot available
KeywordsPsychological resiliencePsychologyMultilevel modelClinical psychologySocioeconomic statusDementiaCaregiver burdenDiseaseDepressive symptomsSuccessful agingPsychopathologyGerontologyMedicinePsychiatryCognitionSocial psychologyPopulation

Abstract

fetched live from OpenAlex

Spouses of persons with Alzheimer disease are known to be at elevated risk for stress-induced psychopathology. Greater understanding of phenomena such as psychological resilience might enable clinicians to identify at-risk caregivers. This study examines the potential protective effects of the three facets of psychological resilience (commitment, control, and challenge) relative to the well-being of cohabiting spousal caregivers of persons with Alzheimer disease from British Columbia, Canada. This sample of caregivers was composed of 63 husbands and 67 wives. Study instruments measured caregiver burden, psychological resilience, depressive symptoms, life satisfaction, perceived health and health conditions; breadth and severity of dementia symptoms was later determined during multidisciplinary team meetings. The hypotheses of this study were tested by means of hierarchical regression (Cohen et al. 2003); Caregiver socio-demographic variables (age, socioeconomic status, perceived health, health conditions) and patient illness variables (severity of symptoms, duration of impairment) were entered as initial steps in each regression equation to control for patient and caregiver differences. Subsequent to control for patient and caregiver features, psychological resilience accounted for an additional 11% to prediction of caregiver depressive symptoms; however, only control (β = -.20, p < .05) challenge facets (β = -.23, p < .01) provided unique contribution. With respect to caregiver burden, resilience factors accounted for an additional 4% of variance though control was the only facet to provide unique significance (β = -.22, p < .05). Finally, psychological resilience contributed an additional 2% to prediction of caregiver life satisfaction though none of the three components of resilience emerged as uniquely significant. The findings from this study provide partial support for the assumption that psychological resilience is significantly associated with the well-being of spouses of persons with Alzheimer disease. The contribution of perceived control emerged as a unique predictor of both depressive symptomatology and caregiver burden whereas challenge predicted only the former. None of the facets provided unique contribution to life satisfaction though psychological resilience as a whole emerged as statistically significant. These findings suggest that the contribution of psychological resilience differs in strength and composition across various indices of caregiver well-being.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.339
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 source (direct Gemma or distilled Codex), 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

Citations0
Published2009
Admission routes2
Has abstractyes

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