Background: During any of the infectious disease outbreak, health care workers were at increased risk of being infected, and psychological distress was a common phenomenon. Therefore, the study aimed to assess the psychological distress related to COVID-19 among healthcare workers in Mettu town.Methods: A cross sectional study was conducted from May 1–15, 2020 using convenient sampling techniques among 127 health care providers during COVID-19 pandemic in the Mettu town. Self-administered questionnaire was used to collect information. Depression and anxiety were evaluated as subscales from the Depression Anxiety Stress Scale (DASS-21). Psychological distress related to COVID-19 was measured using the Impact of Event Scale Revised (IES-R). Data analysis were done using SPSS version 24. Chi-square test was used to find the association between the outcome and demographic variables. Multivariable logistic regression analyses were used to evaluate the significance of the association at P-value < 0.05.Result: Using IES-R scale, 40.2% of the participants reported to have the symptoms of psychological distress. The majority of the participants reported mild psychological distress (37%) followed by moderate psychological distress (29%). The multivariate logistic regression analysis revealed that the odds of psychological distress were found to be higher among health care providers who reported to have depressive symptoms, and those who used alcohol, khat and tobacco in the past 3 months shows a significant association with psychological distress.Conclusion: Our findings revealed that the COVID-19 pandemic had exerted major psychological distress on health care providers. So the findings, seek attention for early psychological intervention needed to manage psychological distress in health care providers regarding identified factors.

Background Non-communicable diseases are priority global health problems. Smoking, harmful alcohol consumption, physical inactivity, and an unhealthy diet are four behavioral risk factors of these diseases. Studies in Ethiopia have focused on establishing associations between these factors and incommunicable diseases. Objective To assess the prevalence, co-occurrence, and social determinants of behavioral risk factors of non-communicable diseases among adults in urban centers of southwestern Ethiopia. Methods This study employed a cross-sectional design. Multistage sampling and the Kish method were used. The WHO’s STEPS instrument was used for data collection. Proportions and other descriptive measures are used to describe the data. Bivariate and multivariate logistic regression was run to assess associations. Associations between dependent and independent variables were determined using AORs, 95% CIs, and significance level of P =0.05. Results A total of 1,191 adults participated in the study for a 93.3% response rate. In sum, 4.8% of participants were smokers and 15.6% indulge in harmful drinking. Prevalence of physical inactivity was 60.45%, and 94.8% consumed insufficient fruit and vegetables. Regarding co-occurrence of these factors, 65.5% of participants had two or more behavioral risk factors. Female sex (AOR 3.1, 95% CI 1.8–5.5), no formal employment (AOR 1.9, 95% CI 1.02–3.7), greater wealth (AOR 2.44, 95% CI 1.1–5.1), not having a friend who does physical exercise (AOR 2.7, 95% CI 1.5–4.7), having friends who do not drink (AOR 0.20, 95% CI 0.09–0.44), and participating in community activities (AOR 2.95, 95% CI 1.4–6.0) were associated with co-occurrence of behavioral risk factors of non-communicable diseases. Conclusion The prevalence and co-occurrence of behavioral risk factors of non-communicable diseases in the study area are alarming. Several factors were associated with co-occurrence of these factors. Community-based interventions have to be implemented considering family settings. Special focus has to be given to physical inactivity and fruit and vegetable consumption.

Background Antiretroviral therapy has dramatically reduced Human Immunodeficiency Virus related morbidity and mortality. It has also transformed HIV infection into a manageable chronic condition. However, first-line antiretroviral treatment failure continues to grow especially in resource limited settings. Despite this, determinants of first-line antiretroviral treatment failure are not well studied in Ethiopia. Objective To identify determinants of first-line antiretroviral treatment failure among adult patients on antiretroviral therapy in Mettu Karl Specialized Hospital, South West Ethiopia, in 2020. Methods A hospital based case-control study was conducted from October to November 2020. Simple random sampling technique was used to select participants. Interviewer administered questionnaire and record review were used for data collection. Data were entered into epi data version 3.1 and exported to SPSS version 20 for analysis. Bivariable and multivariable logistic regression analysis were used. At the end, variables with P-value < 0.05 at 95% confidence intervals for adjusted odds ratio were considered statistically significant determinants of first line treatment failure. Result A total of 113 cases and 339 controls were included in the study with response rate of 98.6%. Sixty-four (56.6%) of cases and 183 (54.0%) of controls were females. Baseline WHO clinical stage III and IV (AOR = 1.909, 95% CI: (1.103, 3.305), baseline body mass index<18.5kg/m2(AOR = 2.208,95% CI:(1.257,3.877),baseline CD4 cell count <100cells/mm3 (AOR = 3.016, 95% CI: (1.734, 5.246), having history of TB co-infection (AOR = 1.855, 95% CI: (1.027, 3.353), having history of lost to follow up (AOR = 3.235, 95% CI: (1.096, 9.551), poor adherence to medication (AOR = 7.597, 95% CI: (4.059, 14.219) and initiation of treatment after two years of diagnosis with HIV (AOR = 4.979, 95% CI: (2.039, 12.158) were determinants of first-line antiretroviral treatment failure. Conclusion In this study several variables were found to be determinants of first-line antiretroviral treatment failure. Concerned bodies should give more attention to early diagnosis of HIV, early enrollment in chronic HIV care and early initiation of ART before patients develop advanced WHO clinical stages. In addition, focus has to be given for patients with low CD4 count. Regular screening for TB, counseling on optimal adherence to medication and enhancing nutritional status of patients with low body mass index are also crucial to prevent first-line antiretroviral treatment failure.

Physical inactivity is a major risk-factor of non-communicable diseases. The World Health Organization has set physical activity recommendations for adults to reduce physical inactivity and its consequences. However, 1.4 billion adults are non-adherent to the recommendation worldwide. The prevalence of non-adherence to this recommendation and its predictors has not been assessed in urban Ethiopia. This study aimed to determine the prevalence of non-adherence to physical activity recommendations and identify its associated factors among healthy adults in urban centers of Southwest Ethiopia. A community-based cross-sectional study was employed from May to June 2021, involving 1191 adults in urban centers of Southwest Ethiopia. Data was collected using Global Physical Activity Questionnaire. Multivariable logistic regression was used to identify factors associated with non-adherence to physical activity recommendations using 95% confidence interval of adjusted odds ratio at P-value of < 0.05.Overall, 61.2% of participants were non-adherent to physical activity recommendations. Older age (AOR = 6.6; 95%CI (2.3–19)), female sex (AOR = 6.1; 95%CI (3.5–10.5)), lower educational status (AOR = 0.5; 95%CI (.28–0.93)), less community engagement (AOR = 2.7;95% CI (1.3–5.5)), lower level of happiness (AOR = 4.7; 95%CI (1.3–16.8)) and physical inactivity of family members (AOR = 2.5; 95%CI (1.4–4.3)) were associated with non-adherence. The prevalence of non-adherence to physical activity recommendations in the study area is high. Age, sex, educational status, community engagement, level of happiness and physical inactivity of family members were predictors of non-adherence to the recommendations. Interventions have to target females and older adults. Community participation and family based physical activity have to be advocated to avert the consequences of physical inactivity.

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