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Record W2092199144 · doi:10.1037//0278-6133.20.2.141

Psychological factors and depressive symptoms in ischemic heart disease.

2001· article· en· W2092199144 on OpenAlex
Zachary M. Shnek, Jane Irvine, Donna E. Stewart, Susan Abbey

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Psychology · 2001
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsCredit Valley Hospital
Fundersnot available
KeywordsOptimismLearned helplessnessDepressive symptomsConfoundingCognitionClinical psychologyPsychologyDepression (economics)MedicineDiseasePsychiatryInternal medicinePsychotherapist

Abstract

fetched live from OpenAlex

The aim of this study was to determine whether learned helplessness, cognitive distortions, self-efficacy, and dispositional optimism assessed at Time 1 (T1; questionnaires mailed at 1 month postdischarge) would predict depressive symptoms at Time 2 (T2; questionnaires mailed at 1-year follow-up) in a sample of 86 patients hospitalized with ischemic heart disease. Multiple regression results indicated that optimism and cognitive distortions at T1 were significantly associated with T1 depressive symptoms after controlling for confounding variables. When the T1 psychological factors were analyzed with T2 depressive symptoms, only optimism continued to predict depressive symptoms after controlling for confounds and T1 depressive symptoms. The global expectancies that optimism assessed appeared to be more stable over time than the statelike beliefs of cognitive distortions and may have accounted for why optimism predicted T2 depressive symptoms.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.410
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