Prevalence of Depression, Anxiety, and Stress Among Displaced Diabetic Patients During Armed Conflict, Kassala State, Sudan
Description
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.
Files
Steps to reproduce
To reproduce the analysis for the study titled "Prevalence of Depression, Anxiety, and Stress Among Displaced Diabetic Patients During Armed Conflict, Kassala State, Sudan," follow these steps: ### Step 1: Data Preparation 1. **Import Data into Statistical Software** Use tools like SPSS, Excel, R, Stata, or Python (Pandas). Ensure the dataset includes demographic variables (gender, age group, education, income) and responses to the 21 DASS items. 2. **Data Cleaning and Coding** - Convert binary responses: "Yes" = 1 and "No" = 0. - Label items based on the DASS-21 classification: - Depression: Items 3, 5, 10, 13, 16, 17, 21 - Anxiety: Items 2, 4, 7, 9, 15, 19, 20 - Stress: Items 1, 6, 8, 11, 12, 14, 18 ### Step 2: Scoring DASS-21 3. **Calculate Subscale Scores** For each respondent: - Depression score = Sum of items 3, 5, 10, 13, 16, 17, 21 - Anxiety score = Sum of items 2, 4, 7, 9, 15, 19, 20 - Stress score = Sum of items 1, 6, 8, 11, 12, 14, 18 4. **Classify Severity Levels** Use DASS-21 severity thresholds (scores multiplied by 2 if using the original 0–3 scale): - Depression: Normal (0–9), Mild (10–13), Moderate (14–20), Severe (21–27), Extremely Severe (28+) - Anxiety: Normal (0–7), Mild (8–9), Moderate (10–14), Severe (15–19), Extremely Severe (20+) - Stress: Normal (0–14), Mild (15–18), Moderate (19–25), Severe (26–33), Extremely Severe (34+) If using binary responses (1/0), use raw totals or normalize as needed. ### Step 3: Descriptive Statistics 5. **Demographic Analysis** Calculate frequency and percentage distributions for gender, age groups, education levels, and income. 6. **Prevalence Analysis** Determine the prevalence (%) of Depression, Anxiety, and Stress (DAS) by demographic subgroups: - Gender - Age group - Education level - Income level ### Step 4: Inferential Statistics 7. **Chi-Square Tests** Test for associations between categorical variables (e.g., gender vs. depression severity, income vs. anxiety). 8. **Logistic Regression (Optional)** Identify predictors of moderate-to-severe DAS, using demographic factors as independent variables. ### Step 5: Presentation 9. **Create Tables and Charts** - Prevalence tables by demographic groups. - Bar or pie charts showing severity levels. - Cross-tabulations of DAS severity against education or income. 10. **Interpret Findings** Highlight high-risk groups (e.g., females, elderly, low-income individuals). Discuss links between displacement, conflict, and limited access to healthcare. ### Ethical Considerations - Ensure voluntary participation and confidentiality. - Obtain ethical clearance from a relevant institutional review board.
Institutions
- King Saud UniversityRiyadh Province, Riyadh