Background Depression is a common mental disorder. The burden of antenatal depression is higher in developing countries which is 20% as compared to developed ones 10% to 15%. In Ethiopia around one-fifth of pregnant mothers are depressed. Despite the severity of the problem, only a few studies have been done in Ethiopia, and there is no study done in Arba Minch on the problem. Objective To assess the magnitude and associated factors of antenatal depressive symptoms among pregnant women attending Public Health facilities in Arba Minch town Southern Nations and Nationalities Peoples Region, Ethiopia 2018. Methods Health Institution based, cross-sectional study design was used to assess the magnitude and associated factors of antenatal depression among 323 pregnant mothers who came for antenatal care follow-up in all public health facilities in Arba Minch town. The systematic random sampling technique was applied. Interviewer administered, pretested structured Questionnaire containing Edinburgh postpartum depression scale was utilized. EPI INFO was used to enter data and then the data were analyzed by logistic regression using SPSS. Variables with P-value less than 0.2 in the bivariate logistic regression were inserted in for multivariable analysis to see their independent effect and those with P-value less than 0.05 were used to determine the significant association between dependent and independent variables. Result The magnitude of antenatal depression was 35.4%. Variables that were significantly associated with antenatal depression on multivariate analysis were anxiety (AOR = 5.49, 95%CI: 2.56, 11.77), un-planned pregnancy (AOR = 2.71, 95%CI: 1.21, 6.07), and Primigravida (AOR = 2.96, 95%CI: 1.28, 6.8). Similarly, uneducated mothers and those who attend only elementary school had AOR 4.92, 95% CI 1.36,17.73 and AOR 4.04955CI 1.23, 13.39 respectively. Conclusion The magnitude of antenatal depression, intimate partner violence, and threatening life event in Arba Minch town was high. Anxiety, unplanned pregnancy, educational status, and Primigravida were significantly associated factors with depression. There should be a mechanism for routine screening and management of antenatal depression and intimate partner violence during antenatal care follow-up.

Introduction Pelvic floor disorders (PFD) are gynecologic health problems containing a wide variety of clinical problems; the most prevalent problems are pelvic organ prolapse, fecal incontinence, and urinary incontinence. It is a significant women’s health problem for both developed and developing countries. One in five women in Ethiopia experiences at least one major type of pelvic floor disorders. Despite the severity of the problem, due attention was not given, and no study has been conducted on pelvic floor disorders in the Gurage Zone. Objective To determine the prevalence and associated factors of symptomatic pelvic floor disorders among women living in Gurage Zone, SNNPR, Ethiopia, 2020. Methodology Community-based cross-sectional study was conducted from February to March 2020 among 542 women residing in the Gurage Zone. A multi-stage sampling method was used to select the participants. Interviewer administered, pretested questionnaires containing questions related to pelvic organ prolapse, urinary, and fecal incontinence was used. The urinary incontinence severity index questionnaire was used to assess the severity of urinary incontinence. Epi-Info x7 was used to record data, and SPSS was used to analyze the data. Binary logistic regression with 95% CI was used to explore the relationship between PFD and other independent variables. After multivariable logistic regression analysis variables with P-value less than 0.05 was used to determine significant association. Result A total of 542 participants were included in this study. Overall, 41.1% of the participants reported one or more symptoms of pelvic floor disorders. Urinary incontinence had the highest prevalence (32.8%), followed by pelvic organ prolapse (25.5%) and fecal incontinence (4.2%). History of weight lifting >10 Kg (AOR = 3.38; 95% CI: 1.99, 5.72), ≥5 vaginal delivery (AOR = 11.18; 95% CI: 1.53, 81.58), and being in menopause (AOR = 3.37; 95% CI: 1.40, 8.07) were identified as possible contributing factors in the development of a pelvic floor disorders. Conclusion The prevalence of symptomatic PFD was higher compared to other similar studies in Ethiopia. Heavy weight lifting, repetitive vaginal deliveries and menopause were factors significantly associated with PFD. Expansion of technologies and building basic infrastructures, health education on kegel exercise and promotion of family planning should be considered as a prevention strategy.

Introduction Coronavirus disease 2019 (COVID-19) outbreak originated in Wuhan, Hubei Province, China, at the end of 2019. The COVID-19 incidence of new cases and fatality has continued to fast-track. The mental state and well-being of entire societies are severely suffering from this crisis and are a precedence to be immediately addressed. Objective To assess mental health disorders during the COVID-19 pandemic among university students, Southwest, Ethiopia, 2020/2021. Method Institutional-based cross-sectional study was conducted. Pretested self-administered a structured questionnaire was used. Depression, anxiety, and stress were measured by depression, anxiety, stress Scale-21 (DASS-21). Data were arrived by Epi Data version 3.1 and exported to SPSS version 25 for analysis. Bivariate and multivariate analyses were applied. In multivariate logistic regression; p-value < .05 at 95% CI was declared as significant. Results Seven hundred ten university students with 95.6% of the response rate participated in the study. Of the participants, 91.3% were between the ages of 18 and 24 years, and 57.2% were male. The magnitude of anxiety, depression, and stress was 35.1%, 30.0%, and 38.2%, respectively. In this study, age [Formula: see text] 25years, easy access to handwashing facilities, relative death due to COVID-19, wearing a face mask, a program of education, marital status, worried about academic activities, and family psychiatric history were predictors for mental health disorders and insomnia was a predictor of both anxiety and depression during COVID-19 pandemic. Conclusion In this study, the prevalence of depression, anxiety, and stress was above one-third, which was higher than the previous studies done in the country. Therefore, the continuing increase in new cases of disease infectivity and fatality throughout the country, providing psychological counseling, and developing coping strategies to predictors are important to prevent mental health impacts of the COVID-19 pandemic.

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