Arabic translation and validation of the clinician administered Staden schizophrenia anxiety rating scale (S-SARS)
Bibliographic record
Abstract
Background: Research on anxiety in patients with schizophrenia of Arab origin is surprisingly scarce, particularly given that expressions of both psychotic disorders and anxiety disorders can be largely shaped by cultural factors. This study proposes to complement previous research by exploring the psychometric characteristics of an Arabic translation of the Staden Schizophrenia Anxiety Rating Scale (S-SARS) in chronic, remitted patients diagnosed with schizophrenia. As the Arabic version of the Generalized Anxiety Disorder 7-Item Scale (GAD-7) has not been previously validated in Arabic in patients with schizophrenia, this study had as a secondary aim to investigate the psychometric properties of this scale before its use. Method: This cross-sectional study was performed over a period of three months (August-October 2023). A total of 177 chronic inpatients diagnosed with schizophrenia (63.3 % males) who were remitted and clinically stable participated in the study. Results: Confirmatory factor analyses showed that all 10 items loaded onto a single factor and had high factor loading values between .53 and .81. The reliability of the S-SARS in its Arabic version was excellent as attested by a McDonald's omega and a Cronbach's alpha coefficients of .90 and .89, respectively. The score of Arabic S-SARS correlated positively with the GAD-7 scores (r = .55; p < .001), thus supporting good convergent validity. As for discriminant validity, findings showed positive correlations between S-SARS and depression scores as assessed using the Calgary Depressive Symptoms Scale. In addition, the Arabic S-SARS correlated negatively with general functioning, further supporting the good validity and clinical relevance of the scale. Finally, measurement invariance was established in the sex subsamples (males vs. females) at the scalar, metric and configural levels, with females showing more anxiety than males. Conclusion: Findings suggest that the Arabic S-SARS holds good psychometric properties, and is suitable for use among Arabic-speaking people diagnosed with schizophrenia in both research and clinical practice. The Arabic version of S-SARS will hopefully be widely applied to provide useful and timely clinical information for monitoring and adequately treating patients with schizophrenia, in order to improve the course and prognosis of the disease.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".