A psychometric evaluation of the Hospital Anxiety and Depression Scale in cardiac patients: Addressing factor structure and gender invariance
Bibliographic record
Abstract
OBJECTIVES: The present study examined the factor structure of the Hospital Anxiety and Depression Scale (HADS) and tested measurement invariance between genders in a representative sample of cardiac patients across 2 years. DESIGN: Confirmatory factor analysis and structural equational modelling were used to assess the factor structure, measurement, and structural invariance of the HADS. METHODS: Eight hundred and one cardiac patients completed the HADS at baseline, 6, 12, and 24 months. RESULTS: Confirmatory factor analysis consistently supported a three-factor structure of the HADS, with the best fitting model comprised of negative affect, autonomic anxiety, and depression. Structural equation modelling showed that the HADS was invariant by gender among cardiac patients. CONCLUSIONS: The HADS can be appropriately used with both male and female cardiac patients to assess three domains of psychological distress. Future investigations should consider the predictive validity and relevance of the HADS subscales with respect to diagnostic distinctions and clinical outcomes among cardiac patients and other clinical populations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".