Prevalence and Associated Factors of Psychological Distress Among Secondary School Students in Mekelle City, Tigray Region, Ethiopia: Cross-Sectional Study
Bibliographic record
Abstract
Haftom Tesfay Gebremedhin,1 Berhanu Boru Bifftu,2 Mikiyas Tulu Lebessa,3 Aemro Zerihun Weldeyes,3 Tesfay Tsegay Gebru,4 Pammla Petrucka5,6 1Department of Psychiatry, College of Medicine and Health Science, Adigrat University, Adigrat, Ethiopia; 2Department of Nursing, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia; 3Department of Psychiatry, Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia; 4Department of Nursing, College of Medicine and Health Science, Adigrat University, Adigrat, Ethiopia; 5College of Nursing, University of Saskatchewan, Saskatchewan, Canada; 6Adjunct Nelson Mandela African Institute of Science and Technology, Arusha, TanzaniaCorrespondence: Haftom Tesfay Gebremedhin Tel +251914272630Email haftomtesfay30@gmail.comBackground: Psychological distress is defined as a state of emotional suffering characterized by the combination of symptoms of depression and anxiety. It is more prevalent in school adolescents than in the general population. There are no published studies that reflect the current status of psychological distress among Ethiopian school adolescents. So, this study aimed to determine the prevalence and associated factors of psychological distress among secondary students in Mekelle Town, North Ethiopia.Methods: A school-based cross-sectional study was done among 782 from May 15 to June 15, 2018. Stratified multistage sampling procedure was used to select study subjects. Data were collected using a pretested and structured self-administered questionnaire. Psychological distress was assessed using Kessler Psychological Distress Scale (K10). Binary logistic regression models were fitted to identify associated factors. Adjusted odds ratio with its 95% confidence interval was used to declare the statistical significance between psychological distress and associated factors.Results: A total of 845 students were enrolled in the study, with a response rate of 92.54%. The mean age of the participants was 16.24 years (SD=± 1.17). Prevalence of psychological distress among the study participants was 34.9%. Being female [AOR = 2.30; 95% CI: (1.28, 4.12)], current alcohol use [AOR = 3.08; 95% CI: (1.64, 5.77)], physical fight [AOR = 2.99; 95% CI: (1.69– 5.28)], contact sexual abuse [AOR=2.37; 95% CI: (1.23, 4.55)], non-contact sexual abuse [AOR = 1.91; 95% CI: (1.04, 3.49)], and being bullied [AOR = 1.81; 95% CI: (1.03, 3.29)] were significantly associated with psychological distress.Conclusion: The prevalence of psychological distress in this study was high. Therefore, it is recommended to strengthen the activities that help to reduce or ameliorate the major causes of psychological distress.Keywords: psychological distress, adolescent students, depression, anxiety
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".