Beekeeping promotes the traditional home-garden conservation in Ethiopia

In Ethiopia, agrobiodiversity is managed through indigenous knowledge of rural communities, where the selection of plant species varies depending on the sociocultural practices and local economic needs. Traditional beekeeping has been practiced by millions of households in rural Ethiopia over a long historical period. However, the contribution of beekeeping in maintaining agrobiodiversity has not been systematically assessed in the country. This study was conducted in Central and Western Ethiopia to assess and compare traditional conservation practices, as well as the diversity and abundance of vegetation found within home-garden maintained by beekeepers and non-beekeepers. The results of the study showed that beekeepers raditionally retain more remnants of trees and shrubs in their home-garden to favor sustainable beekeeping, compared to non-beekeepers who instead are more likely to expand crop production. The mean number of floral species in beekeeper and non-beekeeper home-gardens was 22.8 ±3.2 and 14.2 ± 2.1, respectively. The higher species richness of bee visited plants in beekeepers’ home-gardens may be associated with traditional ecological knowledge accumulated by beekeepers over the years to maximize harvests of bee products. We therefore recommend the integration of ekeeping to other conservation interventions, such as community forestry, watersheds and protected areas as sustainable conservation practices. We suggest that necessary financial, technological, and extensional support should be enhanced to align improved v to any conservation efforts.

Psychometric Properties of Screening Questionnaires To Detect Depression In Primary Healthcare Setting In Rural Ethiopia

Background: Much of the research about the validity of depression screening questionnaires is on criterion validity. Evidence is scarce on the concurrent, convergent and construct validity of these measures, particularly from low-income countries. This study aimed to evaluate the psychometric properties of depression screening questionnaires in primary healthcare (PHC) in rural Ethiopia. Methods: A facility-based cross-sectional study was conducted with 587 participants recruited from patients attending three PHC facilities and two Holy water sites. The psychometric properties of five mental health screening questionnaires were evaluated: the nine item Patient Health Questionnaire (PHQ-9), the two item version of PHQ-9 (PHQ-2), a version of PHQ-9 with two added items of irritability and noise intolerance (PHQ-11), the Patient Health Questionnaire-15 (PHQ-15), and the World Health Organization-Five Well-being Index (WHO-5). Clinical diagnosis of depression was ascertained by psychiatrists using a semi-structured interview. We analyzed data using exploratory factor analysis, Spearman’s rank order correlation coefficient (Rho), the Mann Whitney test of the equality of medians, univariate logistic regression and Cronbach’s alpha. Results: PHQ-9, PHQ-11 and WHO-5 were found to be unidimensional, with items in each scale highly loading onto one factor (factor loadings ranging from 0.64 to 0.87). The items of each instrument were internally consistent, with Cronbach’s alpha ranging from 0.72 (PHQ-2) to 0.89 (PHQ-11). Scores for all screening scales were moderately or highly correlated with each other (Rho= 0.58 to 0.98) and moderately correlated with anxiety and disability scores. Median scores of all screening scales were significantly higher in those diagnosed with depression. The association of items measuring emotional and cognitive symptoms with the diagnosis of depression was stronger than the association with items measuring somatic symptoms. Irritability and noise intolerance had higher association with depression diagnosis than PHQ-9 items. Conclusion: Emotional and cognitive symptoms are more useful than somatic symptoms to predict the diagnosis of depression. Irritability and noise intolerance are more useful to detect depression. Future research should focus on testing the unidimensionality of PHQ-9, PHQ-11 and WHO-5 using confirmatory factor analysis; establishing the criterion validity of PHQ-11 and WHO-5; and on assessing test-retest reliability of all the measures.

Understandings of depression among community members and primary healthcare attendees in rural Ethiopia: A qualitative study

Available evidence in Africa suggests that the prevalence of depression in primary care settings is high but it often goes unrecognized. In this study, we explored how depression is conceptualized and communicated among community members and primary care attendees diagnosed with depression in rural Ethiopia with the view to informing the development of interventions to improve detection. We conducted individual interviews with purposively selected primary care attendees with depression (n = 28; 16 females and 12 males) and focus group discussions (FGDs) with males, females, and priests (n = 21) selected based on their knowledge of their community. Data were analyzed using thematic analysis. None of the community members identified depression as a mental illness. They considered depressive symptoms presented in a vignette as part of a normal reaction to the stresses of life. They considered medical intervention only when the woman's condition in the vignette deteriorated and “affected her mind.” In contrast, participants with depression talked about their condition as illness. Symptoms spontaneously reported by these participants only partially matched symptoms listed in the current diagnostic criteria for depressive disorders. In all participants’ accounts, spiritual explanations and traditional healing were prominent. The severity of symptoms mediates the decision to seek medical help. Improved detection may require an understanding of local conceptualizations in order to negotiate an intervention that is acceptable to affected people.

Determinants of Acute Respiratory Infection among Under-Five Children in Rural Ethiopia

Introduction: In low- and middle-income nations, acute respiratory infection (ARI) is the primary cause of morbidity and mortality. According to some studies, Ethiopia has a higher prevalence of childhood acute respiratory infection, ranging from 16 % to 33.5 %. The goal of this study was to determine the risk factors for acute respiratory infection in children under the age of five in rural Ethiopia. Methods: A cross-sectional study involving 7,911 children under the age of five from rural Ethiopia was carried out from January 18 to June 27, 2016. A two stage cluster sampling technique was used recruit study subjects and SPSS version 20 was used to extract and analyze data. A binary logistic regression model was used to identify factors associated with a childhood acute respiratory infection. The multivariable logistic regression analysis includes variables with a p-value less than 0.2 during the bivariate logistic regression analysis. Adjusted odds ratios were used as measures of effect with a 95% confidence interval (CI) and variables with a p-value less than 0.05 were considered as significantly associated with an acute respiratory infection. Results: The total ARI prevalence rate among 7,911 under-five children from rural Ethiopia was 7.8%, according to the findings of the study. The highest prevalence of ARI was found in Oromia (12.8 %), followed by Tigray (12.7 %), with the lowest frequency found in Benishangul Gumuz (2.4 %). A multivariable logistic regression model revealed that child from Poor household (AOR=2.170, 95% CI: 1.631-2.887), mother’s no education (AOR=2.050,95% CI: 1.017-4.133), mother’s Primary education (AOR=2.387, 95% CI:1.176-4.845), child had not received vitamin A (AOR=1.926, 95% CI:1.578-2.351), child had no diarrhea (AOR=0.257, 95% CI: 0.210-0.314), mothers not working (AOR=0.773, 95% CI:0.630-0.948), not stunted (AOR=0.663, 95% CI: 0.552-0.796), and not improved water source (AOR=1.715, 95% CI: 1.395-2.109). Similarly, among under-five children, the age of the child, the month of data collection, anemia status, and the province were all substantially linked to ARI. Conclusions: Childhood ARI morbidity is a serious health challenge in rural Ethiopia, according to this study, with demographic, socioeconomic, nutritional, health, and environmental factors all having a role. As a result, regional governments, healthcare staff, and concerned groups should place a priority on reducing ARI, and attempts to solve the issue should take these variables into account.

Determinants of acute respiratory infection among under-five children in rural Ethiopia

Introduction In low- and middle-income nations, acute respiratory infection (ARI) is the primary cause of morbidity and mortality. According to some studies, Ethiopia has a higher prevalence of childhood acute respiratory infection, ranging from 16 to 33.5%. The goal of this study was to determine the risk factors for acute respiratory infection in children under the age of five in rural Ethiopia. Methods A cross-sectional study involving 7911 children under the age of five from rural Ethiopia was carried out from January 18 to June 27, 2016. A two stage cluster sampling technique was used recruit study subjects and SPSS version 20 was used to extract and analyze data. A binary logistic regression model was used to identify factors associated with a childhood acute respiratory infection. The multivariable logistic regression analysis includes variables with a p-value less than 0.2 during the bivariate logistic regression analysis. Adjusted odds ratios were used as measures of effect with a 95% confidence interval (CI) and variables with a p-value less than 0.05 were considered as significantly associated with an acute respiratory infection. Results The total ARI prevalence rate among 7911 under-five children from rural Ethiopia was 7.8%, according to the findings of the study. The highest prevalence of ARI was found in Oromia (12.8%), followed by Tigray (12.7%), with the lowest frequency found in Benishangul Gumuz (2.4%). A multivariable logistic regression model revealed that child from Poor household (AOR = 2.170, 95% CI: 1.631–2.887), mother’s no education (AOR = 2.050,95% CI: 1.017–4.133), mother’s Primary education (AOR = 2.387, 95% CI:1.176–4.845), child had not received vitamin A (AOR = 1.926, 95% CI:1.578–2.351), child had no diarrhea (AOR = 0.257, 95% CI: 0.210–0.314), mothers not working (AOR = 0.773, 95% CI:0.630–0.948), not stunted (AOR = 0.663, 95% CI: 0.552–0.796), and not improved water source (AOR = 1.715, 95% CI: 1.395–2.109). Similarly, among under-five children, the age of the child, the month of data collection, anemia status, and the province were all substantially linked to ARI. Conclusions Childhood ARI morbidity is a serious health challenge in rural Ethiopia, according to this study, with demographic, socioeconomic, nutritional, health, and environmental factors all having a role. As a result, regional governments, healthcare staff, and concerned groups should place a priority on reducing ARI, and attempts to solve the issue should take these variables into account.