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Record W1968563626 · doi:10.1080/14622200500358978

Associated factors of post-stroke depression among Hong Kong Chinese: A longitudinal study

2006· article· en· W1968563626 on OpenAlexaff
Janet W. H. Sit, Thomas K S Wong, Michael Clinton, Leonard S.W. Li

Bibliographic record

VenuePsychology Health & Medicine · 2006
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDepression (economics)Stroke (engine)RehabilitationResidencePsychologySocial supportMedicineClinical psychologyPsychiatryPhysical therapyDemography

Abstract

fetched live from OpenAlex

The aim of this study was to explore associated factors of post-stroke depression (PSD) among Chinese first-time stroke patients. A 6-month prospective design was adopted with data collected by face-to-face interviews and physical assessment at two observation time points: T1, within 48 h of admission to the rehabilitation hospitals and T2, 6 months after the first interview in the subject's current place of residence. The prevalence of PSD at T1 and T2 was found to be 69% and 48% respectively. Backward linear regression showed that five variables explained 55% of the variance of PSD at T2. Participants who had a higher level of depression at T2 tended to have a higher level of functional disability, less social companionship and poorer informational support. Those who had been homemaker at pre-morbid state and those who exhibited a higher level of depressive symptoms at T1 showed a higher level of depression at T2. The results of this study suggest that PSD could be a psychological condition arising from the disabling consequences and altered family roles caused by a stroke.

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)0.001
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 score0.008
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.398
Teacher spread0.370 · 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

Citations22
Published2006
Admission routes1
Has abstractyes

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