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Record W2470682563 · doi:10.1177/2333721416658140

Linking Spiritual and Religious Coping With the Quality of Life of Community-Dwelling Older Adults and Nursing Home Residents

2016· article· en· W2470682563 on OpenAlexaff
Luciano Magalhães Vitorino, Gail Low, Lucila Amaral Carneiro Vianna

Bibliographic record

VenueGerontology and Geriatric Medicine · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNursing homesCoping (psychology)GerontologyQuality of life (healthcare)NursingAging in placePsychologyMedicineClinical psychology

Abstract

fetched live from OpenAlex

Objective: This study examined the effect of Positive and Negative Spiritual and Religious Coping (SRC) upon older Brazilian’s quality of life (QOL). Method: A secondary analysis of data collected from 77 nursing home residents (NHRs; M age = 76.56) and 326 community-dwelling residents (CDRs; M age = 67.22 years) was conducted. Participants had completed the Brief SRC, and the World Health Organization Quality of Life-BREF (WHOQOL-BREF) and World Health Organization Quality of Life-OLD (WHOQOL-OLD). A General Linear Model regression analysis was undertaken to assess the effects of SRC upon 10 aspects of participants’ QOL. Results: Positive ( F = 6.714, df = 10, p < .001) as opposed to Negative ( F = 1.194, df = 10, p = .294) SRC was significantly associated with QOL. Positive SRC was more strongly associated with NHR’s physical, psychological, and environmental QOL, and their perceived sensory abilities, autonomy, and opportunities for intimacy. Conclusion: Positive SRC behaviors per se were significantly associated with QOL ratings across both study samples. The effect size of Positive SRC was much larger among NHRs across six aspects of QOL. Place of residence (POR) in relation to SRC and QOL in older age warrants 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.048
GPT teacher head0.367
Teacher spread0.319 · 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.

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

Citations46
Published2016
Admission routes1
Has abstractyes

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