Introduction: The postpartum period is recognized as a high-risk period for the development of various mood disorders like postpartum depression. Globally, postnatal depression is a serious public health problem that has a negative impact on the mother’s health and child development, especially in developing countries. In Ethiopia, even though there are different primary studies conducted on postpartum depression, there is no nationally representative evidence. Therefore, the aim of this systematic review and meta-analysis was to estimate the pooled prevalence and associated factors of postpartum depression in Ethiopia. Methods: Published and unpublished articles from various electronic databases and digital libraries were accessed. This systematic review included studies that were conducted on the magnitude and factors associated with postpartum depression among postnatal women in Ethiopia. A random-effect model was used to estimate the pooled magnitude of postpartum depression with a 95% confidence interval (CI). Inverse variance (I²) was used to visualize the presence of heterogeneity, and forest plot was used to estimate the pooled magnitude of postpartum depression. Publication bias was assessed by funnel plots and Egger’s statistical tests. A meta-regression and subgroup analysis were computed to minimize underlying heterogeneity. Result: Initially, a total of 764 studies were accessed. Twenty-eight full articles were assessed for eligibility criteria, of which twelve studies fulfilled inclusion criteria were included in the final meta-analysis. The overall pooled magnitude of postpartum depression was 22.89% (95% CI 17.75%, 28.03%) with the lowest (12.20%) and highest (33.82%) in the Southern nations region. Unplanned pregnancy, domestic violence, lack of social support, previous history of depression, infant loss, and dissatisfaction in marriage showed a statistically significant association with postpartum depression. Conclusions: In the current analysis, the prevalence of postpartum depression was high as compared with other developing countries. Routine screening of mothers in the postpartum period and integrating mental health with maternal health care is highly recommended.

About three-fourth of adults with new-onset epilepsy become seizure-free with current anti-epileptic drugs, but around one-fourth of the patients continue to experience seizure which increases the risk of accident, disability, death and treatment side effects. Therefore, this study aimed to address the gap in determining the magnitude of the number of seizure attacks and identify the factors that provoke a repeated seizure in a patient with epilepsy. A total of 166(40.68%) study participants were experienced seizure attacks with a minimum of one and a maximum of seventeen times attacks. Perceived exposure to noise (adjusted incidence risk ratio (AIRR) = 1.91, 95% confidence interval (CI) [1.46, 2.49]), light (AIRR = 1.48, 95% CI [1.09, 2.00]), head injury (AIRR = 1.71, 95% CI [1.14, 2.57]) and sleep deprivations (AIRR = 1.41, 95% CI [1.02, 1.94]) were associated with increased incidence of seizure, while adherence adjusted odds ratio (AOR) = 18.18, 95% CI [3.49, 94.63]), being in middle wealth index (AOR = 3.52, 95% CI [1.14, 11.02]) and being in rich wealth index (AOR = 4.05, 95% CI [1.54, 10.69]) were associated with inflation of zero count.

Background:- Globally occupational injury in cement factories continues to cause serious public health problems and cause of death, disability and disease among workers. There is an increase in the number of deaths attributed to work related injuries from 2.33 million deaths in 2014 to increase 2.78 million workers die annually in 2017. Therefore, information that shows the prevalence of occupational injury in most risky work places in Ethiopia such as cement factory is essential need for proper health intervention programs. Methods:- Facility based cross sectional study was conducted in Dangote cement factory from October 1 to November 30, 2023. Data was collected through structured questionnaire and observational check lists. Epi data was used for data entry and the data exported to SPSS windows version 23 software after cleaning for analysis. Descriptive analysis of the variables was conducted using frequencies, percentages, tables and graphs/charts were used for the prevalence and significance factors was assessed through logistic regression. The Variables which on binary logistic regression with P-value less than 0.25 were entered to multivariable logistic regression analysis to get more candidates of variables to significant. The final model was tested for its goodness of fit by Hosmer and Lemshow and P value >0.05 was best fit. Finally, using odds ratio (OR) as measure effect with 95% CI and P-value less than 0.05 was take as levels of significance. Result:- From a total of 342 selected study subjects, 340 respondents participated in the study yielding a response rate of 99.4%. In this study, among the total participants of the study, 62(18.2%) of them had encountered occupational injury on the last 12 months. Males were about two times more likely to have occupational injury compared to females [AOR=2.567(95%CI: 1.152-5.717)]. Workers who worked more than 48 hour per week were 3 times more likely to be injured than workers who spend their time on work for 48 hours and less [AOR=3.234 (95% CI: 1.700-6.151)]. Workers who had no training on health and safety were about 17 times more likely to have occupational injury compared to workers who have health and safety training [AOR: 17.456, 95% CI (6.488–46.97)]. Conclusion:- The prevalence of occupational injury in Dangote cement factory workers is high. The study shows that sex, working hours per week and health and safety training were significant contributing factor for occupational injury in cement factory.