Prevalence of Depression, Anxiety, and Stress Among Displaced Diabetic Patients During Armed Conflict, Kassala State, Sudan

This dataset represents responses from displaced diabetic patients in Kassala State, Sudan, during armed conflict, as part of a study on the **prevalence of depression, anxiThis dataset represents responses from displaced diabetic patients in Kassala State, Sudan, during armed conflict, as part of a study on the **prevalence of depression, anxiety, and stress (DAS)**. It includes sociodemographic variables—**gender**, **age**, **education**, and **income level**—along with binary ("Yes"/"No") answers to 21 items based on the **DASS-21 scale**, categorized into **Stress (s)**, **Anxiety (a)**, and **Depression (d)** domains. Each row is an individual respondent’s data. In total, the dataset is rich and suitable for: * **Scoring the DASS-21** (summing responses per domain to classify severity) * **Analyzing prevalence patterns** of DAS by demographic strata (e.g., age groups, gender, education level) * **Exploring risk associations** between social vulnerability factors (e.g., low income, illiteracy) and mental health outcomes. Let me know if you’d like help computing DAS scores or generating prevalence tables. ety, and stress (DAS)**. It includes sociodemographic variables—**gender**, **age**, **education**, and **income level**—along with binary ("Yes"/"No") answers to 21 items based on the **DASS-21 scale**, categorized into **Stress (s)**, **Anxiety (a)**, and **Depression (d)** domains. Each row is an individual respondent’s data. In total, the dataset is rich and suitable for: * **Scoring the DASS-21** (summing responses per domain to classify severity) * **Analyzing prevalence patterns** of DAS by demographic strata (e.g., age groups, gender, education level) * **Exploring risk associations** between social vulnerability factors (e.g., low income, illiteracy) and mental health outcomes. Let me know if you’d like help computing DAS scores or generating prevalence tables.