Purpose Self-medication is the use of medicines by individuals to treat self-recognized illnesses or symptoms without any medical supervision. Such practices may cause antimicrobial resistance, which causes treatment failure, economic loss, serious health hazards, missed diagnosis, delayed appropriate treatment, drug dependency, and adverse drug effects. However, empirical evidence is limited to the current status of its practices and associated factors among university students. Thus, the aim of this study was to assess the magnitude and associated factors of self-medication practices among medicine and health science students at the University of Gondar. Methods An institution-based cross-sectional study was employed from February to March 2017. A total of 792 randomly selected students were surveyed with a self-administered structured questionnaire. Epi Info version 7 and SPSS version 20 were used for data entry and analysis, respectively. Binary logistic regression analysis was performed. In multivariable analysis, P-value <0.05 and adjusted odds ratio (AOR) with 95% confidence interval (CI) were used to identify associated factors. Results Self-medication practice was found to be 52.4% (95% CI: (49%, 56%)) among university students. For most students, the major reason for using self-medication was taking the illness as less serious (71.1%). Females (AOR: 1.48; 95% CI: 1.08–2.01), income category (USD 44.01–175.87) (AOR: 0.47; 95% CI: 0.29–0.78), sixth year students (AOR: 8.71; 95% CI: 4.04–18.77) and health officer students (AOR: 2.36; 95% CI: 1.20–4.63) were found to be significantly associated with self-medication practice. Conclusion More than half of the students practiced self-medication, which is moderately higher than other findings. Gender, income, year of study, and field of study were the major factors that affected self-medication. Therefore, interventions that can halt the high magnitude of self-medication and factors associated with it are crucial. Special attention should be given to students who stay in the university for longer years.

Purpose: Even though remarkable declines in under-five mortality rates noticed globally, nearly 5.6 million children still die annually before celebrating their fifth birthday. The 2016 Ethiopian Demographic and Health Survey (EDHS) report revealed that 67 children per 1000 live births died before the fifth birthday. This study aimed at determining factors affecting under-five mortality in Ethiopia using EDHS, 2016. Materials and Methods: The data were retrieved from the EDHS 2016, and a total weighted number of 11,023 under-five children were included. Descriptive statistics were reported using tables, graphs, and texts. A multilevel negative binomial regression model was fitted, and adjusted incidence rate (ARR) with a 95% confidence interval (CI) and a p-value <0.05 were reported. The deviance test was used to check the goodness of fit. Results: Mother attained higher education (ARR=0.25, 95% CI: 0.10-0.66), female-headed household (ARR=1.32, 95% CI: 1.05-1.66), age of household head (AIRR=1.07, 95% CI: 1.03,1.11), preceding birth interval ≥48 months (ARR=0.51, 95% CI: 0.42-0.61), child who had history of diarrhea (ARR=1.23, 95% CI: 1.08-1.41), multiple birth type (ARR=1.80, 95% CI: 1.34-2.42), mothers who delivered in health facility (ARR=0.86, 95% CI: 0.73,0.94), residents of Addis Ababa (ARR=0.52, 95% CI: 0.28-0.98), and Amhara region (ARR=1.43, 95% CI: 1.09, 1.88) were statistically significant with the number of under-five mortality. Conclusion:In this study, under-five mortality remains a public health problem in Ethiopia. Educational status of the mother, women delivered at health institution, preceding birth interval 24-35 and ≥48, and residents of Addis Ababa reduced the incidence of under-five mortality. On the other hand, being a female household head, age of mother at first giving birth, being employed, having multiple births, and childhood diarrhea were associated with a higher incidence of under-five mortality. This finding suggests that enhancing opportunities to female education, addressing regional disparities, and encouraging mothers to deliver at health institutions will help to reduce the burden of under-five mortality.

Background Intimate partner violence is a serious global public health problem particularly in low-and middle-income countries such as Ethiopia where women's empowerment is limited. Despite the high prevalence of intimate partner violence in Ethiopia, there is limited evidence on the spatial distribution and determinants of intimate partner violence among reproductive-age women. Exploring the spatial distribution of intimate partner violence is crucial to identify hotspot areas of intimate partner violence to design targeted health care interventions. Therefore, this study aimed to investigate the spatial distribution and determinants of intimate partner violence among reproductive-age women in Ethiopia. Methods A secondary data analysis was done based on the 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total weighted sample of 6090 reproductive-age women were included in the study. The spatial scan statistical analysis was done to identify the significant hotspot areas of intimate partner violence. A multilevel binary logistic regression analysis was fitted to identify significant determinants of intimate partner violence. Deviance, Intra-cluster Correlation Coefficient (ICC), Median Odds Ratio, and Proportional Change in Variance (PCV) were used for model comparison as well as for checking model fitness. Variables with a p-value less than 0.2 were considered in the multivariable analysis. In the multivariable multilevel analysis, the Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) were reported to declare statistical significance and strength of association between intimate partner violence and independent variables. Results The spatial analysis revealed that the spatial distribution of intimate partner violence was significantly varied across the country (Moran’s I = 0.1007, p-value < 0.0001). The SaTScan analysis identified a total of 192 significant clusters, of these 181 were primary clusters located in the Benishangul-Gumuz, Gambella, northwest Amhara, and west Oromia regions. In the multivariable multilevel analysis; women aged 45–49 years (AOR = 2.79, 95% CI 1.52–5.10), women attained secondary education (AOR = 0.61, 95% CI 0.38–0.98), women in the richest household (AOR = 0.58, 95% CI 0.35–0.97), > 10 family size (AOR = 3.85, 95% CI 1.41–10.54), and high community women empowerment (AOR = 0.66, 95% CI 0.49–0.8)) were significantly associated with intimate partner violence. Conclusions Intimate partner violence among reproductive-age women had significant spatial variation across the country. Women's age, education status, family size, community women empowerment, and wealth status were found significant determinants of intimate partner violence. Therefore, public health programs should design targeted interventions in identified hot spot areas to reduce the incidence of intimate partner violence. Besides, health programmers should scale up public health programs designed to enhance women's autonomy to reduce the incidence of intimate partner violence and its consequences.

Anemia is a widespread public health problem that affects all stages of life particularly preschool children and pregnant mothers. Anemia among children had significant impact on their growth, development, school performance and mortality. Different strategies like deworming of young children, vitamin A supplementation for children aged 6–59 months, and ferrous sulphate supplementation and provision of insecticide treated bed net for pregnant women were designed to control and prevent anemia. Also, previous studies on anemia factors were conducted but they were not considering the ordered nature of anemia. Therefore, this study aimed to identify the factors of anemia severity levels among children aged 6–59 months in Ethiopia by using ordinal analysis based on Bayesian hierarchical statistical approach. A secondary data analysis was conducted using the 2016 Ethiopian Demographic and Health Survey data. A total of 8483 weighted children were included. Due to the ordered nature of the anemia and nested nature of DHS data, ordinal logistic regression model based on hierarchical Bayesian statistical approach was employed to identify the determinants of anemia severity levels. In this study, moderate anemia level was found to be the commonest type which accounts around 29.4%. Female children, poorer, middle, and richest wealth index, primary maternal education and having ANC visit had lower risk of having higher order of anemia. Moderate maternal anemia and stunted children had higher chance of having higher order of anemia. Children age had significant different effect on mild and moderate anemia. Meanwhile, multiple birth/s and deworming had effect on moderate anemia. In addition, normal birth weight had also significant and different effect on mild and severe anemia and history of feverlike illness on mild anemia. The prevalence of anemia among children aged 6–59 months anemia was found to be a severe public health problem. Children age, sex, maternal education, child stunting, history of fever, multiple birth, birth weight, provision of deworming and maternal anemia was found to be the most important factors for child anemia severity levels. Therefore, intervention efforts to control and prevent anemia in Ethiopia requires targeting of these hindering factors.

Introduction: Under-five mortality is a key indicator of countries’ developmental status. Even though remarkable declines in under-five mortality rates, nearly 5.6 million children still die annually worldwide before their fifth birthday. The 2016 Ethiopian Demographic and Health Survey (EDHS) report revealed that 67 children per 1,000 live births died before the fifth birthday. This study was aimed at determining factors affecting under-five mortality in Ethiopia using EDHS, 2016.Methods: The data was retrieved from the EDHS 2016. A total weighted number of 11,023 under-five children were included in this study. Descriptive statistics were done and reported using tables, graphs, and texts. The multilevel negative binomial regression model was fitted to identify significant factors of under-five mortality. Adjusted Incidence rate (AIRR) with a 95% confidence interval (CI) and p-value <0.05 in the multivariable model were reported. The goodness of fit was checked using the deviance test.Results: Mother attained higher education (AIRR=0.25, 95% CI: 0.10-0.66); female-headed household (AIRR=1.32, 95%CI:1.05-1.66); age of household head (AIRR=1.07, 95%CI: 1.03,1.11); preceding birth interval ≥48 months (AIRR=0.51, 95%CI: 0.42-0.61); child’s had history of diarrhea (AIRR=1.23, 95% CI:1.08-1.41); multiple birth type (AIRR=1.80, 95% CI:1.34-2.42); mothers delivered in health facility (IRR=0.86, 95% CI:0.73,0.94), residents of Addis Ababa (AIRR=0.52, 95%CI: 0.28-0.98), and Amhara region (AIRR=1.43, 95%CI: 1.09, 1.88) were statistically significant factors to under-five mortality in Ethiopia.Conclusion: In this study, under-five mortality remains a public health problem in Ethiopia. Mothers education level, women delivered at health institution, preceding birth interval 24-35 and ≥48, and residents of Addis Ababa have reduced the incidence of under-five mortality. On the other hand, being a female household head, age of mother at first giving birth, being employment, having multiple births and having childhood diarrhea was associated with a higher incidence of under-five mortality. This finding suggests that enhancing opportunities to female education, addressing regional disparities, and encouraging mothers to deliver at health institutions will help to combat the burden of under-five mortality. Keywords: Under-five mortality, negative binomial, multilevel analysis, Ethiopia