Background: Displaced people experience different traumatic events. This can have serious and long-lasting consequences in terms of physical and mental health outcome. Posttraumatic stress disorder (PTSD) is the most frequent mental disorder following traumatic exposure. In 2018 Ethiopia saw the highest number of internal displacement, despite this, less attention has been given to mental health among internally displaced people in the country. This study aims to determine the estimated prevalence and associated factors of PTSD among internally displaced people in the Gede'o zone, south Ethiopia. Participants and Methods: A community-based cross-sectional study was conducted between 1 and 30, May 2019 among 636 participants, who were selected using a simple random sampling technique. PTSD was measured by the Post-Traumatic Stress Disorder Checklist for DSM-5 (PCL-5). The association between outcome and independent variables was identified by bi-variable and multivariate logistic regression. Finally, variables with P-value less than 0.05 were considered statistically significant at 95% CI. Results: A total of 625 participants were interviewed with a response rate of 98.3%. The estimated prevalence of PTSD was 58.4% with 95% CI 55 to 61.9. In the multivariate logistic regression, being female (AOR=2.4, 95% CI 1.6 to 3.4), depression (AOR=2.6, 95% CI 1.2 to 3.9), displaced more than once (AOR=3.7, 95% CI 2.4 to 5.8), destruction of personal property (AOR=1.6, 95% CI 1.04 to 2.44), witness the murder of family (AOR=2, 95% CI 1.2, 3.9), and cumulative trauma (AOR=4, 95% CI 1.7 to 9.6) were significantly associated factors. Conclusion: In the current study, the estimated prevalence of PTSD was high. Ministry of health should plan routine screening and management of PTSD, depression and linking with available mental health service is recommended.

Purpose Poor quality of sleep has a negative effect on academic performance of medical students. Quantity and quality of sleep in addition to average sleep time are strongly linked with students’ learning abilities, poor academic performance and poor interpersonal relationship which predispose them to mental illnesses. This study is aimed to assess magnitude and correlates of sleep quality among medical students in Ethiopia. Method An institutional based cross-sectional study was conducted among 576 undergraduate medical students. Data was collected by using interviewer administered structured questionnaires. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. The collected data were entered in to Epi-data version 3.1and analyzed using SPSS version 20. Logistic regression was used to identify the potential determinants of quality of sleep among undergraduate medical students. P-values less than 0.05 were considered statistically significant and strength of the association was presented by adjusted odds ratio with 95% C.I. Result The prevalence of poor sleep quality among undergraduate medical students was 62% (95%CI, 57.9, 65.3). The mean age (±SD) of the respondents was 21.5(±2.4), with age ranging from 18 to 28 and about 310 (53.8%) were males. Factors like, being depressed (AOR = 1.92,95%CI 1.16,3.19), poor social support (AOR = 5.39,95%CI 2.33,2.49), being stressed (AOR = 2.04,95%CI 1.26,3.31), and poor sleep hygiene (AOR = 3.01,95%CI 1.75,5.18) were associated with poor sleep quality at p-value < 0.05. Findings also showed that, one unit increase in grade point average was associated with 81.5% decrease (AOR = 0.185, 95%CI 0.13, 0.28) in poor sleep quality. Conclusion A substantial proportion of medical students are affected by poor sleep quality. Routine screening of sleep quality, sleep hygiene, depression and stress is warranted. Moreover, it is better to educating medical students about proper sleep hygiene and the consequences of poor sleep.

Background. Good sleep hygiene plays an important role in human health. Medical students are notorious for insufficient and irregular sleep habits which are linked with students’ learning abilities, poor academic performance, and poor interpersonal relationship which predispose them to mental illnesses. However, it has not been studied among medical students in Ethiopia. Method. This institution-based cross-sectional study was conducted among 576 undergraduate medical students selected by using a stratified sampling technique. Sleep hygiene (SHI) was assessed by a 13-item sleep hygiene questionnaire. Binary logistic regression was used to identify the potential determinants of poor sleep hygiene among undergraduate medical students. Variables with p values less than 0.05 were considered statistically significant, and the strength of the association was presented by adjusted odds ratio with 95% C.I. Result. The prevalence of poor sleep hygiene practice among undergraduate medical students was 48.1% (95% 43.7, 52.1). After adjusting for the possible confounders, being female ( AOR = 1.53 , 95% CI 1.03, 2.26), having depressive symptoms ( AOR = 3.55 , 95% CI 2.26, 5.59), with stress symptoms ( AOR = 2.41 , 95% CI 1.61, 3.60), and having anxiety symptoms ( AOR = 2.2 , 95% CI 1.42, 3.31) were associated with poor sleep hygiene practice at p value < 0.05. Conclusion. Almost half of the medical students had poor sleep hygiene practice. Routine screening of depressive and stress symptoms and education about sleep hygiene are warranted among medical students.

IntroductionPregnant women suffer from varying levels of generalized anxiety disorder that result in poor obstetrical outcomes. Therefore, this study aimed to assess the prevalence and factors associated with generalized anxiety disorder among pregnant women attending antenatal care during COVID-19 at the public health facilities in the east Gojjam zone.MethodsA health facility-based cross-sectional study was conducted, from 1–30 December 2020. A total of 847 pregnant women were included in the study using a systematic random sampling technique. We used an interviewer-administered questionnaire to collect the data. Bivariate and multivariable logistic regression was used to identify factors associated with the outcome variable. Statistical significance was determined using a p-value &lt; 0.05 and a 95% confidence level.ResultsThe prevalence of generalized anxiety disorder was 43.7%, with a 95% CI (40.28–47.12). Having &lt;3 the number of children (AOR: 1.53; 95% CI: 1.11–2.13, having a negative attitude about COVID (AOR: 1.47; 95% CI: 1.07–2.02 and having a high-risk perception about COVID (AOR: 1.86; 95% CI: 1.34–2.57 were factors significantly associated with generalized anxiety disorder.ConclusionsThe study found that the prevalence of generalized anxiety disorder was high. Having less than three children, having a negative attitude, and having a high-risk perception of COVID were independent risk factors of generalized anxiety disorder. Appropriate interventions should be considered to address generalized anxiety disorder during the pandemic.