Background: Alcohol use disorder (AUD) in HIV/AIDS patient's decreases adherence and effectiveness of medications and help-seeking to HIV/AIDS care and treatment. This study, therefore, assessed the average 1 year prevalence and associated factors of alcohol use disorder in HIV/AIDS patients. Methods: We did an electronic data search on PubMed, Scopus, EMBASE, Psych-INFO libraries, African index Medicus and African Journals Online (AJOL). Google scholar was also investigated for non-published articles. The reference lists of published articles were also reviewed. The stata-11meta-prop package was employed. Subgroup and sensitivity analyses were done. Cochran's Q-statistics and the Higgs I 2 test were used to check heterogeneity. Publication bias was evaluated with Egger's test and funnel plots. Results: Of 1362 articles identified using the search strategies; only 22 studies were included in the final analysis. The average 1 year prevalence of AUD was 22.03% (95% CI: 17.18, 28.67). The average prevalence of AUD in South Africa (28.77%) was higher than in Uganda (16.61%) and Nigeria (22.8%). The prevalence of AUD in studies published before 2011, 2011-2015, and after 2015 was found to be 13.47, 24.93, and 22.88% respectively. The average prevalence of AUD among studies with a sample size > 450 was 16.71% whereas it was 26.46% among studies with a sample size < 450. Furthermore, the average prevalence of hazardous, harmful, and dependent drinking was 10.87, 8.1, and 3.12% respectively. Our narrative analysis showed that male sex, cigarette smoking, family history of alcohol use, missing ART medication, mental distress, khat chewing, low CD4 count, and low income were among the associated factors for AUD in people with HIV AIDS. On quantitative meta-analysis for associated factors of AUD, the AOR of being male, Cigarette smoking and khat chewing were 5.5, 3.95, and 3.34 respectively. Conclusion: The average 1 year prevalence of AUD in HIV/AIDs patients was high and qualitatively factors such as being Male, cigarette smoking, and khat chewing were associated with it. Therefore, clinical services for people living with HIV/AIDS should integrate this public health problem. Policymakers should also develop guidelines and implementation strategies for addressing this problem.

Background Impaired sleep quality affects judgment, psychomotor skills, memory, decision-making, concentration, and attention. It might also contribute to the development of new physical health problems, as well as exacerbating already existing physical problems. Despite this, there is a scarcity of research done in Africa including Ethiopia that addressed this issue. So this study assessed the quality of sleep and related factors among prisoners of the Diredawa correctional facility, Diredawa, eastern Ethiopia. Methods A cross-sectional study was done using a simple random sampling technique to recruit 421 participants from May 21 to June 21; 2017. A semi-structured questionnaire, Pittsburgh Sleeps Quality Index (PSFIG), Patient Health Questionnaire-9 (PQ-9), and Sleep Hygiene Index (SHI) were used to assess participants’ socio-demographic data, sleep quality, depression, and sleep hygiene, respectively. The collected data were entered into EPA-data 3.1 and analyzed by using SPAS-20. Descriptive and analytical statistics were used. Bivariate and multivariable logistic regression with odds ratio and 95% CI were employed. The statistical significance was declared at p value < 0.05. Results A total of 421 out of 423 prisoners were interviewed, resulting in a response rate of 99.5%. The prevalence of poor sleep quality was 227 (53.9%) with 95% CI (49.2, 58.7). Having co-morbidity of depression (adjusted odds ratio; OAR = 3.47, 95% CI 1.38,8.76), lifetime use of cigarette (OAR = 2.16, 95% CI 1.21,5.58), marijuana and hashish (OAR = 5.02, 95% CI 1.63,15.46), current use of coffee (OAR = 2.75, CI 1.37, 7.05), poor sleep hygiene (OAR = 3.19, CI 1.32,7.69), committing assault crime (OAR = 4.12, CI 1.29,10.63) and crime of rape (OAR = 5.57, CI (1.45, 13.89) were the associated factors for poor sleep quality in this study. Conclusion More than half of the participants (53.9%) have poor sleep quality. Depression, lifetime use of cigarettes, using cannabis and hashish, current use of coffee, poor sleep hygiene, and crime types were the associated factors that should be taken into consideration and evaluated early to minimize poor sleep quality.

Objective: Malnutrition because of poor dietary diversity contributing to child morbidity and mortality. Two-thirds of child mortality occurs within the first 2 years. However, there is limited data related to dietary diversity among children aged 6 to 23 months in Ethiopia. Thus, this study aimed to assess dietary diversity and factors among children aged 6 to 23 months in the study setting. Methods: A community-based cross-sectional study conducted on 438 children aged 6 to 23 months in Dire Dawa, 1-30/02/2019. Simple random sampling was used to select study subjects. Data collected using a structured and pretested interview administered questionnaire. Data entered using EpiData 4.2 and analyzed with SPSS Version 22. Multivariable logistic regression was used to examine associated factors. Adjusted odd-ratio with 95% confidence interval (CI) used, and P-value <.05 considered statistically significant. Results: The overall minimum dietary diversity practice was 24.4% (95% CI: 20.3, 28.5). Maternal education [AOR 2.20; 95% CI: 1.08, 4.52], decision-making [AOR = 2.5; 95% CI: 1.19, 5.29], antenatal care [AOR = 2.19; 95% CI: 1.20, 3.99], postnatal care [AOR = 6.4; 95% CI: 2.78, 14.94] and facility delivery [AOR = 2.66; 95% CI: 1.35, 5.25] were maternal factors. Moreover, child’s age [AOR = 2.84; 95% CI: 1.39, 5.83], and child’s sex [AOR = 2.85; 95% CI: 1.64, 4.94] were infant factors. Conclusion: One-fourth of children practiced minimum dietary diversity. Child’s age, birth interval, postnatal care, antenatal care, child’s sex, mothers’ decision-making, mothers’ education, and place of delivery were significant predictors. Therefore, maternal education, empowering women, and improve maternal service utilization are crucial to improving dietary diversity.

Background: Alcohol use disorder (AUD) in HIV/AIDS patient’s decreases adherence and effectiveness of medications and help-seeking to HIV/AIDS care and treatment. This study, therefore, assessed the average prevalence and associated factors of alcohol use disorder in HIV/AIDS patients. Methods: We did an electronic data search on PubMed, Scopus, EMBASE, Psych-INFO libraries, African index Medicus and African Journals Online (AJOL). Google scholar was also investigated for non-published articles. The reference lists of published articles were also reviewed. The stata-11meta-prop package was employed. Subgroup and sensitivity analyses were done. Cochran's Q-statistics and the Higgs I2 test were used to check heterogeneity. Publication bias was evaluated with Egger's test and funnel plots.Results: Of 1362 articles identified using the search strategies; only 22 studies were included in the final analysis. The average prevalence of AUD was 22.03% (95% CI: 17.18, 28.67). The average prevalence of AUD in South Africa (28.77%) was higher than in Uganda (16.61 %) and Nigeria (22.8%). The prevalence of AUD in studies published before 2011, 2011-2015, and after 2015 was found to be 13.47%, 24.93%, and 22.88% respectively. The average prevalence of AUD among studies with a sample size > 450 was 16.71% whereas it was 26.46% among studies with a sample size < 450. Furthermore, the average prevalence of hazardous, harmful, and dependent drinking was 10.87%, 8.1%, and 3.12 % respectively. Our narrative analysis showed that male sex, cigarette smoking, family history of alcohol use, missing ART medication, mental distress, khat chewing, low CD4 count, and low income were among the associated factors for AUD in people with HIV AIDS. On quantitative meta-analysis for associated factors of AUD, the AOR of being male, Cigarette smoking and khat chewing were 5.5, 3.95, and 3.34 respectively. Conclusion: The average prevalence of AUD in HIV/AIDs patients was high and qualitatively factors such as being Male, cigarette smoking, and khat chewing were associated with it. Therefore, clinical services for people living with HIV/AIDS should integrate this public health problem. Policymakers should also develop guidelines and implementation strategies for addressing this problem.

Background Metabolic syndrome is a major public health challenge in both developed and developing countries. The burden of this disease is high, even in patients with psychiatric disorders. However, very little is known about the association between metabolic syndrome and psychiatric illness in Ethiopia. Therefore, the aim of this study was to investigate the magnitude of metabolic syndrome and its components among psychiatric clients. Methods A comparative cross-sectional study was undertaken between psychiatric patients and age—and sex-matched non-psychiatric controls at the Dilchora referral hospital. The study included 192 study participants (96 psychiatric patients and 96 non- psychiatric controls from general medical and surgical patients). The National Cholesterol Education Program: Adult Treatment Panel III criteria were used to diagnose metabolic syndromes. The data were cleaned and analyzed using the Statistical Package for Social Sciences, Version 21. All intergroup comparisons for continuous data were performed using an independent sample t-test, whereas categorical data were analyzed using the Chi-square test. Logistic regression analysis was used to identify the association between metabolic syndrome and the associated variables. Results The magnitude of metabolic syndrome among psychiatric patients was 36.5% (95%CI: 27.6, 47.4) compared to non-psychiatric control patients, 21.9% (95%CI: 13.5, 30.3), p = 0.02. The prevalence of MetS components, such as waist circumference (25.0% vs. 14.3%), lower-high density lipoprotein level (35.4% vs. 20.8%), higher systolic blood pressure (41.7% vs. 29.2%) and higher fasting blood glucose (40.6% vs. 18.8%) showed statistically significant differences between the exposed and non-exposed groups. Age greater than 50 years (AOR: 2.8, CI: 1.14, 20.0, p < 0.05); being female (AOR: 7.4, CI: 2.0, 27.6, p < 0.05), being urban residence (AOR: 6.4, CI: 2.2, 20.6, p < 0.05), ever alcohol intake (AOR: 5.3, CI: 1.3, 21.2), being physically inactive (AOR: 3.52, CI: 1.1, 12.9, p < 0.05) and family history of hypertension (AOR: 2.52, CI: 1.1, 12.2, p < 0.05) were independent predictors of metabolic syndrome (p < 0.05). Conclusions There is a high burden of metabolic syndrome and its components in patients with severe psychiatric disorders. Therefore, screening and mitigation strategies for metabolic syndrome and their components should be implemented in the management of psychiatric disorders.