ArticleJournal of diabetes and metabolic disorders2021
Clarification the optimal cut-off values for Persian-language versions of depression screening tools in Iranian patients with type 2 diabetes.
Article in Journal of diabetes and metabolic disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.
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Who cites it
2 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Hospital Anxiety and Depression Scale Anxiety subscale (HADS-A) for detecting anxiety disorders in adults.The Cochrane database of systematic reviews · 2025Pooled it
- Optimal cut-offs of depression screening tools during the COVID-19 pandemic: a systematic review.BMC psychiatry · 2023Pooled it
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6 authors.
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Abstract
introductionDepression is the most common psychiatric disorder in patients with type 2 diabetes. There are many questionnaires to measure depression symptoms. These tools are generally used with the same cut-off points in different medical diseases. The present study investigates the optimal cut-off points of these tools in patients with type 2 diabetes in the Iranian diabetic population. The original version of this tool is prepared in Persian.
methodTwo-hundred and forty four patients with a diagnosis of diabetes were selected to participate in the study. The gold standard for diagnosing depression was the Structured Mini-International Neuropsychiatric Interview. We applied the cut-off points of the Persian versions of the Hospital Anxiety and Depression Scale (HADS), Beck Depression Inventory (BDI), Depression in Diabetes Self-Rating Scale (DDS-RS), Problematic Areas in Diabetes Survey (PAID), Hamilton Depression Rating Scale (HDRS) and Depression in Diabetes Self-Rating Scale (DDS-RS).
results23.8% of patients were diagnosed with depression. Depressed patients had higher levels of HbA1c and physical complaints than non-depressed patients. In all tools, the sum of Sensitivity and Specificity of our proposed cut-off points was better than the conventional cut-off points. In HADS, the results showed that this questionnaire performed better and more efficiently than other tools.
conclusionIn patients with type 2 diabetes, it is better to use the proposed cut-off point's specific to this disorder in the Iranian population. These cut-off points have a higher ability to identify depressed and non-depressed cases.
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