Point your SmartPhone at the code above. If you have a QR code reader the video abstract will appear. Or use: https://youtu.be/VnFTiTuzCpI Background: Suicidal behavior is a leading cause of injury and death worldwide. It is a public health issue that is estimated to contribute more than 2.4% to the global burden of disease by the year 2020. University and college students are among groups affected more than the general population. However, there is a scarcity of studies on the magnitude and associated factors of suicidal behavior among University students in Ethiopia, particularly in Mettu University. Therefore, we assessed the prevalence of suicidal behavior and associated factors among Mettu University students. Methods: Institution-based multistage stratified cross-sectional study design was conducted among 523 regular main campus students of Mettu University. The Suicidal Behaviors Questionnaire Revised (SBQ-R) was used to screen the presence of suicidal behavior symptoms. Data analysis was done using SPSS version 20. Results: Lifetime prevalence of suicidal ideation, plan, and attempt was 58.3%, 37.3%, and 4.4%, respectively, with one-year prevalence of suicidal ideation at 34%. The multivariate logistic regression analysis revealed that the odds of suicidal ideation were higher among female gender, students who had poor social support, family history of suicide attempt, lifetime alcohol use, rural residence, and less frequently engaging in religious practice; these factors were significantly associated with suicidality. Conclusion: Nearly one-fourth of respondents report suicidal behavior. Prevalence of suicide was found to be higher. Prevention and coping actions regarding identified factors to reduce burden of suicide are needed.

Objectives To identify sociodemographic and illness-related factors associated with quality of life among people with Schizophrenia. Methods A hospital-based cross-sectional study design was employed among 351 people with schizophrenia and attending the followup service at Jimma University Medical Center, psychiatric clinic during the study period. Participants were recruited using a systematic random sampling method and a sample fraction of two was used after the first person was identified by a lottery method. Data entry was done using EpiData version 3.1 and then exported to Statistical Package for Social Sciences version 25 for analysis. Multiple regression analysis was used to determine the statistically significant association between quality of life and independent variables. Results Among the four domains of quality of life, respondents scored the lowest mean in the social relationships domain (10.14 ± 3.12). Final adjusted multiple regression model revealed, being divorced was negatively associated with the physical domain (β = −0.72, p = 0.02), having no formal education was negatively associated with physical health domain (β = −0.69, p = 0.001) and age was positively associated with the psychological domain (β = 0.371, p = 0.071). Being rural resident was negatively associated with physical domain (β = −0.48, p = 0.01), with environmental domain (β = −0.64, p = 0.03), with social relationships domain (β = −0.45, p = 0.04), and with overall quality of life (β = −1.93, p = 0.006). Positive symptoms (β = −0.22, p = 0.001), negative symptoms (β = −0.36, p = 0.001), and general

Background: During any of the infectious disease outbreak, health care workers were at increased risk of being infected, and psychological distress was a common phenomenon. Therefore, the study aimed to assess the psychological distress related to COVID-19 among healthcare workers in Mettu town.Methods: A cross sectional study was conducted from May 1–15, 2020 using convenient sampling techniques among 127 health care providers during COVID-19 pandemic in the Mettu town. Self-administered questionnaire was used to collect information. Depression and anxiety were evaluated as subscales from the Depression Anxiety Stress Scale (DASS-21). Psychological distress related to COVID-19 was measured using the Impact of Event Scale Revised (IES-R). Data analysis were done using SPSS version 24. Chi-square test was used to find the association between the outcome and demographic variables. Multivariable logistic regression analyses were used to evaluate the significance of the association at P-value < 0.05.Result: Using IES-R scale, 40.2% of the participants reported to have the symptoms of psychological distress. The majority of the participants reported mild psychological distress (37%) followed by moderate psychological distress (29%). The multivariate logistic regression analysis revealed that the odds of psychological distress were found to be higher among health care providers who reported to have depressive symptoms, and those who used alcohol, khat and tobacco in the past 3 months shows a significant association with psychological distress.Conclusion: Our findings revealed that the COVID-19 pandemic had exerted major psychological distress on health care providers. So the findings, seek attention for early psychological intervention needed to manage psychological distress in health care providers regarding identified factors.

Background: Schizophrenia was ranked as one of the top ten illnesses contributing to the global burden of disease. But little is known about the quality of life among people with schizophrenia, in particular in low-income countries. This study was aimed to examine the association of quality of life with current substance use, medication non-adherence and clinical factors of people with schizophrenia at Jimma University Medical Center, psychiatry clinic, Southwest Ethiopia. Methods: Institution based cross-sectional study design was employed. Study participants were recruited using a systematic random sampling method and a sample fraction of two was used after the first person was identified by the lottery method. we used the World Health Organization Quality of Life Scale-Brief version (WHOQoL-BREF) and 4-item Morisky Medication Adherence Scale (MMAS-4) to assess the quality of life and medication non-adherence respectively. Data about current substance use was assessed by yes/no questions. Descriptive statistics, such as frequency, mean and standard deviations were computed to describe the characteristics of the study population. Data entry was done using EpiData version 3.1 then exported to SPSS statistics version 25 for analysis and analyzed using multiple linear regression. The assumption for linear regression analysis including the presence of a linear relationship between the outcome and predictor variable, the test of normality, collinearity statistics, auto-correlation and homoscedasticity were checked. Unstandardized Beta (β) coefficients with 95% confidence interval (CI) and P-value < 0.05 were computed to assess the level of association and statistical significance in the final multiple linear regression analysis.

Background. Schizophrenia is one of the most severe, chronic, and disabling mental disorders found globally. The chronic nature of the illness significantly interferes with functioning and results in a poor quality of life, but little is known about the quality of life among schizophrenia patients, in particular in low-income countries. Therefore, we assessed the quality of life and associated factors among patients with schizophrenia attending Jimma University Medical Center, Southwest Ethiopia. Methods. The hospital-based cross-sectional study design was employed to collect data from 352 study participants using a systematic random sampling technique from June to July 2018. Patients’ sociodemographic characteristic, quality of life, psychopathology, medication adherence, comorbid physical illness, and substance use disorder were assessed. Data entry and analysis were done using EpiData version 3.1 and Statistical Package for the Social Sciences (SPSS) version 21.0, respectively. Variables with a P value < 0.05 in the final multiple regression models were declared to be associated with the outcome variable. The Results. The response rate of the study was 99.7%. The mean (±standard deviation) score of the World Health Organization Quality of Life Assessment Short Version Scale was 74.34±15.83. Positive symptoms, negative symptoms, general psychopathologies, comorbid physical illness, khat use disorder, tobacco use disorder, and medication nonadherence were negatively associated with patient quality of life. However, monthly income was found to be positively associated with quality of life. Conclusion and Recommendation. The mean and standard deviation of the quality of life of people with schizophrenia is found to be 74.34±15.83 in this study. The social relationship domain was found with the lowest mean score. Therefore, priority interventions need to be implemented to improve the social deficits.