Damtew Solomon Shiferaw

BACKGROUND: The pandemic of coronavirus disease spreading is impacting mental health globally. Even though the pandemic is challenging for patients, the community, policymakers, as well as health organizations, and teams, the data on COVID-19 and its association with anxiety and coping mechanisms towards infection among community members are currently limited. Thus, the study is intended to assess COVID-19-related levels of anxiety and coping strategies among community members of Bale and East Bale Zones, Southeast Ethiopia. METHODS: A community-based survey was carried out among 634 study participants of Bale and East Bale Zones from June 1 to 20, 2020. The level of anxiety was determined by using the 5-item Coronavirus Scale and the coping strategies were determined by using the 15-item Coping and Adaptation Processing Scale. Interviewer-administered questionnaires were used to collect the data. Bi-variable analysis and multiple logistic regression analysis were used to estimate the relationship among the variables. RESULTS: COVID-19-related dysfunctional level of anxiety was found 95 (16.58%). About 290 (50.6%) respondents were copied from anxiety that occurred as a result of COVID-19. Factors significantly associated with the dysfunctional level of anxiety related to COVID-19 were being an urban resident (AOR = 0.44, 95% CI: 0.23, 0.86), those who had no information from TV/radio (AOR=1.76, 95% CI: 1.09, 2.84), and walking a long distance more than 1 hour from the health institution (AOR=0.58, 95% CI: 0.34, 0.97). CONCLUSION: COVID-19-related dysfunctional levels of anxiety were 16.58% in the study community. Half of the community was coped with COVID-19-related anxiety. Being an urban resident and walking along distances more than 1 hour from the health facility were the factors that decreased the odds of having a dysfunctional anxiety, whereas respondents who had no information from TV/radio increased the odds of having a dysfunctional anxiety. Accordingly, focusing on these identified factors could improve a dysfunctional level of anxiety in the study community.

BACKGROUND: Determining the nutritional status of lactating women is important because underweight lactating mothers will have low energy levels and reduced cognitive abilities, which will affect the inadequate care of their young children. Thus, malnutrition is passed down from generation to generation, perpetuating the vicious cycle. There is scarce national data on determinants of underweight among lactating mothers in Ethiopia. Hence, this study aimed to identify individual and community-level determinants of underweight among lactating mothers in Ethiopia. METHODS: Data from the Ethiopian Demographic and Health Survey (EDHS) from 2016 were used. A total of 3848 lactating mothers were included in this study, and a multilevel, multivariable logistic regression model was fitted to identify determinants of underweight among lactating mothers. RESULTS: The odds of being underweight among rural lactating mothers were 65% higher (AOR = 1.65, 95% CI = 1.13, 2.41) than lactating mothers in the urban area. The odds of being underweight among lactating mothers who have toilet facilities were 33% lower (AOR = 0.67, 95%CI = 0.54, 0.83) compared with those do not have toilet facilities. Those mothers in the age group of 25-34 years and greater than 35 years had (AOR = 0.61,95%CI = 0.48, 0.79), and (AOR = 0.66, 95%CI = 0.47, 0.95) times lower chance of being underweight compared with those who had 15-24 years of age, respectively. The likelihood of being underweight among lactating mothers in high community poverty (AOR = 1.40, 95%CI = 1.08, 1.82) was higher than the lower community poverty level. CONCLUSION: Underweight among lactating mothers was significantly associated with individual-level (age and toilet facilities) variables and community-level (residence and community poverty). Therefore, focusing on these identified factors could improve underweight among lactating mothers in Ethiopia.