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Record W2113391094 · doi:10.1080/13607860500193336

Symptoms of psychological distress among older adults in Canadian long-term care centres

2005· article· en· W2113391094 on OpenAlexaffabout
Philippe Voyer, René Verreault, Philippe Cappeliez, Dave Holmes, Pamphile Nkogho Mengue

Bibliographic record

VenueAging & Mental Health · 2005
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsCentre hospitalier universitaire de QuébecDouglas CollegeÉlisabeth Bruyère HospitalCentre hospitalier de l'Université LavalUniversity of OttawaUniversité Laval
Fundersnot available
KeywordsPsychological distressDistressQuality of life (healthcare)InsomniaMedicineMultivariate analysisPsychiatryClinical psychologyMental healthPsychology

Abstract

fetched live from OpenAlex

Psychological distress can lead to negative consequences affecting the quality of life of older adults living in long-term care centres. The goal of this study was to determine the prevalence of symptoms of psychological distress and their associated factors among these residents. A cross-sectional descriptive study was conducted among 1999 long-term care residents aged 65 and over. Nine hundred and eleven persons (45.6%) displayed at least one symptom of psychological distress either at one time or more in the week preceding data collection, and 22.4% were identified as psychologically distressed. Multivariate analysis indicated that psychological distress was associated with disruptive behaviours and benzodiazepine use among women residents, and with insomnia in men residents. In conclusion, when clinicians screen for mental health disorders, they should take into consideration that symptoms of insomnia or disruptive behaviours may mask psychological distress.

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)0.001
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 score0.165
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.388
Teacher spread0.373 · 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

Citations13
Published2005
Admission routes2
Has abstractyes

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