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Record W2024005079 · doi:10.1177/1359105313482165

Measurement of depressive symptoms among cardiac patients: Should sex differences be considered?

2013· article· en· W2024005079 on OpenAlexafffund
Sherry L. Grace, Jonathan Yee, Robert D. Reid, Donna E. Stewart

Bibliographic record

VenueJournal of Health Psychology · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of OttawaYork UniversityUniversity of TorontoUniversity Health Network
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsBeck Depression InventoryDepression (economics)ConfoundingMedicineClinical psychologyPsychometricsPopulationDepressive symptomsPsychiatryPsychologyInternal medicineCognitionAnxietyEnvironmental health

Abstract

fetched live from OpenAlex

Confounding of depressive and cardiac symptoms may hold implications for assessment. This study investigated psychometric properties and sex differences in two depression scales among cardiac patients. Cardiac inpatients from 11 hospitals were recruited and completed a mailed survey including the Beck Depression Inventory-II and Gotland Scale of Male Depression 1 year later. The scales were significantly correlated and both were associated with social desirability. Females scored higher than males on the fatigue factor only (p < .001). Psychometric properties of the Beck Depression Inventory-II were more favorable in this population. Practitioners must not overlook reports of fatigue in female cardiac patients.

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)0.021
metaresearch head score (Gemma)0.045
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 score0.021
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.045
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.077
GPT teacher head0.393
Teacher spread0.315 · 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

Citations11
Published2013
Admission routes2
Has abstractyes

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