Low birthweight (LBW) remains the most important risk factor which attributed to mortality of 15–20% of newborns across the globe. An infant with low birthweight is more likely to have stunting in childhood and develop markers of metabolic risk factors at his later age. Furthermore, LBW is a risk for inter-generational assaults of malnutrition as it is the risk for sub optimal growth until adulthood, affecting women’s and male’s reproductive capabilities. Thus, there is enough concern to study the determinants of LBW across different settings. Accordingly, this study was conducted to assess the determinants of low birthweight s in public health facilities of Nekemte town, West Ethiopia. Facility based unmatched case control study was employed from February to April 2017. The data were collected using structured, pretested interviewer administered questionnaire in all public health facilities of Nekemte town. Consecutive live births of less than 2500 g in each of the hospitals and health centres were selected as cases and succeeding babies with weights of at least 2500 g as controls. Data were entered in to Epi-data software version 3.1 and exported to SPSS Version 21 and analyzed using frequency, cross-tabs and percentage. Factors with p-value < 0.25 in Bivariate analysis were entered in to multivariable logistic regression and statistical significance was considered at p-value < 0.05. A total 279 (93 cases &186 controls) were included in the study with a mean birthweight of 2138.3 g ± SD 206.87 for cases and 3145.95 g ± SD 415.98 for controls. No iron-folate supplementation (AOR = 2.84, 95% CI, 1.15–7.03), no nutritional counselling (AOR = 4.05, 95%CI, 1.95–8.38), not taking snacks (AOR =3.25, 95%CI, 1.64–6.44), maternal under nutrition (AOR =5.62, 95%CI, 2.64–11.97), anemia (AOR = 3.54, 95%CI, 1.46–8.61) and inadequate minimum dietary diversity score of women MDDS-W (AOR = 6.65, 95%CI, 2.31–19.16) were factors associated with low birthweight . Lacking nutrition counselling during pregnancy, lacking iron/folic acid supplementation during pregnancy, not taking snacks during pregnancy, maternal under-nutrition, maternal anemia and inadequate minimum dietary diversity score of women (MDDS-W) were independently associated with LBW. Thus, public health intervention in the field of maternal and child health should address these determinants.

To identify sociodemographic and illness-related factors associated with quality of life among people with Schizophrenia. 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. 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 psychopathology (β = −0.098, p = 0.006) were inversely associated with overall quality of life. In this study, the social relationship domain of quality of life among people with schizophrenia has the lowest mean score. Some socio-demographic variables and psychiatric symptoms were found to be key significant associated factors of quality of life. Priority interventions to improve the social deficits and addressing psychiatric symptoms of people with schizophrenia is essential to improve their quality of life.

Background: Self-stigma associated with mental illness has remained a global public health issue affecting social interactions, health care, productivity and acceptance among others. It is one of important factors contributing to non-adherence to medication that leads to increased hospitalization and higher healthcare costs. Hence, the study aimed to assess self-stigma and medication adherence among patients with mental illness treated at the psychiatric clinic of Jimma University Medical Center (JUMC). Methods: A cross-sectional, community-level study was conducted at Jimma town. The patient’s data was collected from records between April and June 2017 and the collected data was analyzed using SPSS version 21. The Internalized Stigma of Mental Illness (ISMI) tool was utilized to measure internalized stigma. Linear regression analysis was performed to get the final model. Statistical significance association was considered at p-values less than 0.05 and 95% confidence interval was used. Results: Males comprised more than half (61%) of the total sample of 300 respondents and with a mean age of 34.99 (SD ± 11.51) years. About one-third (32%) of patients had a working diagnosis of schizophrenia followed by major depressive disorder (24.3%). More than half of them, 182 (60.7%) were adherent to their psychotropic medication. The overall mean value of self-stigma was 2.16 (SD = 0.867) and 84 (28%) of the respondents had moderate to high self-stigma. Using ISMI the mean score of alienation was 2.26 (SD = 0.95), stereotype endorsement 2.14 (SD = 0.784), perceived discrimination 2.18 (SD = 0.90), social withdrawal 2.10 (SD = 0.857) and stigma resistance 2.11 (SD = 0.844). Increasing age of the patients (std. β = − 0.091, p = 0.009) and living with kids and spouse (std. β = − 0.099, p = 0.038) were negatively associated with self-stigma whereas increased world health organization disability assessment schedule (WHODAS) score (β = 0.501, p < 0.001), number of relapses (std. β = 0.183, p < 0.01) and medication non-adherence (std. β = 0.084, p = 0.021) were positively associated with self-stigma. Conclusion: The study revealed that there was high self-stigma among patients with mental illness and a significant association between overall ISMI score and level of medication adherence. These require mental health professionals and policy-makers should give attention to ways to overcome self-stigma and increase medication adherence among patients with mental illness.

Objectives: To determine the prevalence and socio-demographic and parental-related factors of depression among school adolescents in Jimma town, southwest Ethiopia. Methods: Using a cross-sectional survey, 546 school adolescents were screened for depression using the patient health questionnaire (PHQ-9) from five randomly selected public and private schools. Oslo social support scale, adverse childhood experience tool, and socio-demographic questionnaire were used to gather data on risk factors. Linear regression analysis was used, and unstandardized beta (β) coefficients with 95% confidence intervals (CI) were reported to declare statistical significance. Results: A total of 546 adolescents participated in the study, with a response rate of 97.3%. The mean (±SD) age of participants was 16.8 ± 1.3 years. The majority (81%) of the adolescents were attending day classes at public schools. The prevalence of depression was found to be 28% using the patient health questionnaire. Based on the PHQ-9 depression severity scale, 18.5% and 8.2% of the adolescent had moderate and moderate to severe depression while 1.3% had severe depression. In the final multivariate linear regression analysis, it was found that sex, rural residence, low social support, being in higher grade level, and adverse childhood experience were found to be independently associated with a higher score of depression. Conclusion: One in three adolescents was found to have a depressive syndrome. We recommend schools to integrate school mental health service that contains routine screening and intervention services. Moreover, efforts are needed to sensitize and educate the communities on child protection, social support, and safeguarding to effectively tackle the magnitude of adolescent depression.

This study was designed to determine risk perception and precautionary health behavior toward coronavirus disease (COVID-19) among health professionals working in selected public university hospitals of Ethiopia. A web-based cross-sectional survey was used with health professionals working in selected public university hospitals of Ethiopia. A structured survey questionnaire consisted of socio-demographic, risk perception, and behavioral response items were used. The survey questions were designed on Google form. All academic and clinical staff invited to participate in the online survey, which was carried out from May 1–14, 2020. Data analysis was done using the Statistical Package for Social Sciences version 24. Descriptive statistics computed and the result is presented by tables and figures. A total of 273 health professionals participated in this study. The mean (± SD) age of participants was 31.03 ± 5.11. Study participants’ overall mean score of perceived risk was 23.59 ± 4.75. The study participants’ mean score of perceived vulnerability (4.01 ± 1.17) was higher than the human immunodeficiency virus, common cold, malaria, and tuberculosis. Regarding precautionary health behavior, the lowest mean score is for wearing gloves 1.82 ± 1.15. Participants mean score of perceived vulnerability of coronavirus disease was higher than some of the prevalent infectious disease in the area. Almost all participants applied recommended protective measures to the acceptable level, except for wearing mask and gloves. Therefore, there is a need to further intensification of more effective ways to support health professionals’ adherence to major precautionary measure is important.

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. Un-standardized 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. Result: In this study 31.65% of participants were medication non-adherent and total mean scores of quality of life showed a lower level of satisfaction in social relationship domain (10.14 ± 3.12). Our study showed 152(43.3%), 248(70.7%) and 97(27.6%) of respondents had used tobacco, Khat and alcohol atleast once during the past 3 months respectively. Final adjusted multiple regression model showed medication non-adherence has significant negative association with physical domain (beta = − 4.42, p < 0.001), psychological (beta = − 4.49, p < 0.001), social relationships (beta = − 2.29, p < 0.001) and environmental domains (beta = − 4.95, p < 0.001). Treatment duration has significant negative association with psychological domain (beta = − 0.17, p < 0.04), social relationship (beta = − 0.14, p < 0.005), environmental domain (beta = − 0.24, p < 0.02) and overall quality of life (beta = − 0.67, p < 0.02). Having comorbid physical illness has significant negative association with physical domain (beta = − 2.74, p < 0.001), psychological (beta = − 2.13, p < 0.004), social relationships (beta = − 1.25, p < 0.007), environmental domain (beta = − 3.39, p < 0.001) and overall quality of life (beta = − 9.9, p < 0.001). Current tobacco use has significant negative association with physical domain (beta = − 1.16, p < 0.004), psychological (beta = − 1.23, p < 0.001), social relationships (beta = − 0.88, p < 0.001), environmental domains (beta = − 1.98, p < 0.001) and overall quality of life (beta = − 5.73, p < 0.001). Also, current chewing khat has significant negative association with physical domain (beta = − 1.15, p < 0.003), psychological (beta = − 1.58, p < 0.001), environmental domains (beta = − 2.63, p < 0.001) and overall quality of life (beta = − 6.22, p < 0.001). Conclusion: The social relationship domain of quality of life has the lowest mean score. Medication non-adherence, treatment duration, having a comorbid physical illness, current tobacco use and current chewing khat were found to have a statistically significant association with the overall quality of life. Therefore, treatments aimed to improve social deficits, medication non-adherence, comorbid physical illness and decrease substance abuse is imperative.