Background: The COVID-19 pandemic is a worldwide epidemic declared by the world health organization as a public health emergency of concern and consequently inducing huge mental health and psychological reactions. Aims: This study is aimed to summarize the existing data regarding anxiety, depression, and psychological distress during the covid-19 pandemic among the wider population so that effective intervention strategies will be initiated. Methods: Pieces of literature that assessed anxiety, depression, and psychological distress among the general population during the COVID pandemic period were systematically gathered. Data extraction in Microsoft excel was done by two independent reviewers using predefined criteria. The analysis was done using a stata-11 and random effect model. A sub-group and sensitivity analysis was done. Besides, the funnel plot and eggers publication bias test was tested. Results: Sixteen studies that assessed 78,225 participants were included. Nine studies were included in the meta-analysis for anxiety prevalence. The average prevalence of anxiety was found to be 38.12%. A sub-group analysis showed that anxiety was 33.33% in China and 47.70% in other countries (Italy, Turkey, and India). Anxiety prevalence in studies measured with the DASS-21 scale, GAD-7 scale, and other tools (SAS, HADS, and 5-point Likert scale) was 23.4%, 40.73%, and 44.47% respectively. The prevalence of anxiety in studies that assessed a sample size above 2,000 participants was 40.33%. The average prevalence of depression among included studies was 34.31% and a sub-group analysis showed that depression was higher in China (36.32%) than in other countries (28.3%). Moreover, six studies reported psychological distress and the average prevalence was 37.54%. Conclusion: This study revealed that anxiety, depression, and psychological distress are potential public mental health problems of the global community that suggests the need for early recognition and initiation of interventions during the COVID-19 pandemic period.

Background Depression is a leading cause of disability worldwide and is a major contributor to the overall global burden of disease. It is also one of the most common geriatric psychiatric disorders and a major risk factor for disability and mortality in elderly patients. Even though depression is a common mental health problem in the elderly population, it is undiagnosed in half of the cases. Several studies showed different and inconsistent prevalence rates in the world. Hence, this study aimed to fill the above gap by producing an average prevalence of depression and associated factors in old age. Objective This study aims to conduct a systematic review and meta-analysis to provide a precise estimate of the prevalence of depression and its determinants among old age. Method A comprehensive search of PubMed, Scopus, Web of sciences, Google Scholar, and Psych-info from database inception to January 2020. Moreover, the reference list of selected articles was looked at manually to have further eligible articles. The random-effects model was employed during the analysis. Stata-11 was used to determine the average prevalence of depression among old age. A sub-group analysis and sensitivity analysis were also run. A graphical inspection of the funnel plots and Egger’s publication bias plot test were checked for the occurrence of publication bias. Result A search of the electronic and manual system resulted in 1263 articles. Nevertheless, after the huge screening, 42 relevant studies were identified, including, for this meta-analysis, n = 57,486 elderly populations. The average expected prevalence of depression among old age was 31.74% (95% CI 27.90, 35.59). In the sub-group analysis, the pooled prevalence was higher among developing countries; 40.78% than developed countries; 17.05%), studies utilized Geriatrics Depression Scale-30(GDS-30); 40.60% than studies that used GMS; 18.85%, study instrument, and studies having a lower sample size (40.12%) than studies with the higher sample; 20.19%. Conclusion A high prevalence rate of depression among the old population in the world was unraveled. This study can be considered as an early warning and advised health professionals, health policymakers, and other pertinent stakeholders to take effective control measures and periodic care for the elderly population.

Background People with disabilities face multiple barriers that prevent them from accessing care and essential information related to the COVID-19 pandemic that poses additional stress and psychopathology. Therefore, the investigation of psychopathologies during the COVID-19 outbreak and emergency response is critical. Methods A cross-sectional survey was implemented from July 15/2020 to July 30/2020. The PHQ-9, GAD-7 scale, insomnia severity index-7, and brief resilient coping scale were administered to participants. The collected data was then entered into Epi-data version 3.1 and exported to SPSS-20 for analysis. Descriptive statistical procedures were employed to describe the various psychopathologies. A binary logistic regression method was used to identify the related factors for the psychopathologies. Furthermore, an odds ratio with its 95%CI was driven to show association strength, and a P-value <0.05 was declared as statistically significant. Results A significant proportion of individuals living with disability had psychopathologies; 46.2% for depression symptoms, 48.1% for generalized anxiety disorder symptoms, and 71% for insomnia symptoms. Nearly 45.7% of participants were low resilient copers to their psychopathology. Depression was significantly higher in divorced/widowed/separated (AOR = 3.4, 95% CI: 1.28–8.92, P-value = 0.006), non-educated (AOR = 2.12, 95% CI: 1.12, 5.90, P-value = 0.001), and unemployed (AOR = 2.1, 95% CI: 1.32, 5.11, P-value = 0.005) as well as a daily laborer (AOR = 2.4, 95% CI: 1.20, 4.89, P-value = 0.014) subjects. Generalized anxiety disorder was also significantly higher in young age (<40 years) (AOR = 1.7, 95% CI: 1.32, 2.98, P-value = 0.02), single (AOR = 2.3, 95% CI: 1.24, 5.3, P-value = 0.011), widowed/divorced/separated (AOR = 1.5, 95% CI: 1.12, 2.78, P-value = 0.032), preparatory school completed (AOR = 3.00, 95% CI: 1.59, 5.46, P-value = 0.001), daily laborer (AOR = 2.7, 95% CI: 1.21, 5.23, P-value = 0.003), and unemployed (AOR = 2.5, 95% CI: 1.17, 4.78, P-value = 0.005) participants. Moreover, insomnia was significantly higher in single (AOR = 1.5, 95% CI: 1.12, 3.09, P-value = 0.027), divorced/widowed/separated(AOR = 6.2, 95% CI: 1.08, 11.29, P-value = 0.032), unemployed (AOR = 3.00, 95% CI: 1.22, 7.03, P-value = 0.001), blind (AOR = 2.8, 95% CI: 1.42, 6.35, P-value = 0.001), and deaf (AOR = 10.2, 95% CI: 4.52, 35.33, P-value = 0.002) participants. Conclusion Depression, anxiety, and insomnia were highly prevalent among individuals with a disability during the COVID-19 period. Multiple sociodemographic and disability-related factors were associated with this high psychopathology. Attention has to be given by the government and other stakeholders to intervene in psychopathology and its associated factors.

Background Internet addiction is a common problem in university students and negatively affects cognitive functioning, leads to poor academic performance and engagement in hazardous activities, and may lead to anxiety and stress. Behavioral addictions operate on a modified principle of the classic addiction model. The problem is not well investigated in Ethiopia. So the present study aimed to assess the prevalence of internet addiction and associated factors among university students in Ethiopia. Objectives Main objective of this study was to assess the prevalence and associated factors of internet addiction among University Students in Ethiopia. Methods A community-based cross-sectional study was conducted among Wollo University students from April 10 to May 10, 2019. A total of 603 students were participated in the study using a structured questionnaire. A multistage cluster sampling technique was used to recruit study participants. A binary logistic regression method was used to explore associated factors for internet addiction and variables with a p value < 0.25 in the bivariate analysis were fitted to the multi-variable logistic regression analysis. The strength of association between internet addiction and associated factors was assessed with odds ratio, 95% CI and p value < 0.05 in the final model was considered significant. Results The prevalence of internet addiction (IA) among the current internet users was 85% (n = 466). Spending more time on the internet (adjusted odds ratio (AOR) = 10.13, 95% CI 1.33–77.00)), having mental distress (AOR = 2.69, 95% CI 1.02–7.06), playing online games (AOR = 2.40, 95% CI 1.38–4.18), current khat chewing (AOR = 3.34, 95% CI 1.14–9.83) and current alcohol use (AOR = 2.32, 95% CI 1.09–4.92) were associated with internet addiction. Conclusions The current study documents a high prevalence of internet addiction among Wollo University students. Factors associated with internet addiction were spending more time, having mental distress, playing online games, current khat chewing, and current alcohol use. As internet addiction becomes an evident public health problem, carrying out public awareness campaigns may be a fruitful strategy to decrease its prevalence and effect. Besides to this, a collaborative work among stakeholders is important to develop other trendy, adaptive, and sustainable countermeasures.

Background: Satisfaction of patients is a key measure of quality pharmacy service delivery. However, the traditional way of drug inventory and dispensing practice by professionals negatively affects the satisfaction of patients. Hence, assessment of satisfaction level is an important tool to identify gaps in pharmacy service delivery and works for its improvement.

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 and Objectives. Adverse childhood experiences include stressful and potentially traumatic events associated with a higher risk of long-term behavioral problems and chronic illnesses. In this study, we had estimated the prevalence of adverse childhood experiences (ACEs) and association with depression symptoms prevalence and severity as a function of ACE counts. Methods. A cross-sectional school-based study was employed. Five hundred forty-six secondary school students were selected using multistage sampling technique from 5 selected secondary schools. We obtained retrospective information on adverse childhood experiences of adolescents by ACEs, self-reported 10-item questionnaire, and current depression prevalence and severity by PHQ-9. Multivariate linear regression models were used to estimate child depression severity by retrospective ACE count. Results. Among the 546 adolescents who participated in this study, 285 (50.7%) of the participants answered yes to at least one or more questions among the total 10 questions of ACEs. Experiences of ACEs increased the risk for depressive symptoms, with unstandardized β = 1.123 (β = 1.123, 95% CI (0.872, 1.373). We found a strong, dose–response relationship between the ACE score and the probability of lifetime and recent depressive disorders (p<0.0001). Conclusions. The number of ACEs has a graded relationship to both the prevalence and severity of depressive symptoms. These results suggest that exposure to ACEs is associated with an increased risk of depressive symptoms up to decades after their occurrence. Early recognition of childhood abuse and appropriate intervention may thus play an important role in the prevention of depressive disorders throughout the life span.

Background The outbreak of Coronavirus Disease 2019 (COVID-19) has caused serious threats to people’s health and lives in the world. The health-care professionals are bravely fighting on the front lines of the pandemic everywhere in the world. Our study is the first to study psychological distress and coping status among health-care professionals of Dessie town, Ethiopia during the unbridled time of the COVID-19 outbreak. Methods A cross-sectional internet-based study was conducted between June 20 and July 13, 2020. The questionnaires included the demographic information, COVID-19 related questions, Kasseler-10 to assess psychological distress level and Brief Resilient Coping Scale, and Oslo-3 social support scale questionnaire were employed. Results A total of 423 participants were involved in the study with a response rate of 100%. The mean age of respondents was 34.5 years (SD = ±8.45 years). The prevalence of psychological distress among participants was 42%. Of these 18%, 11%, and 13% had mild, moderate, and severe psychological distress levels. Being married, being nurses and pharmacies, current substance users, working in emergency and outpatient departments, history of chronic medical illness, brief resilient coping level, and social support level were particularly associated with high psychological distress. Conclusion Health-care professionals are experiencing a substantial level of psychological distress. In addition to other modifying factors coping level and social support was a significant predictor of psychological distress among health-care professionals. These findings should inform the implementation of interventions that increase coping resilience and social support to mitigate the impact of psychological distress among health-care professionals.