Patient Attitudes regarding Causes of Depression: Implications for Psychoeducation
Bibliographic record
Abstract
OBJECTIVE: Patient attitudes toward mental illness are an important determinant of treatment compliance and treatment outcome. A patient's age, sex, style of thinking, lifestyle, and beliefs all may influence perceptions. This study aimed to determine patient attitudes. METHOD: Patients with a depressive disorder (n = 102) who were referred for psychiatric consultation and treatment to a community general hospitial psychiatric outpatient clinic completed a 9-item self-report questionnaire to determine their perceptions of the biological, psychological, cognitive, and spiritual causes of their depressive disorder. RESULTS: Women were more likely to endorse their depressive disorder as related to a biological abnormality. With respect to age, older individuals were less likely to identify cognitive factors and loss of spirituality as causal factors in their depression. CONCLUSIONS: A relation exists between demographic variables, including sex and age, and beliefs about causes of depression and related disorders. These findings have implications for refining patient psychoeducation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".