RESUMO
Introduction: The achievement of the minimum acceptable diet intake (MAD) stands at 14% among urban and 10% among rural under-five children in Ethiopia. Consequently, identifying the determinants of the urban-rural gap is vital for advancing Sustainable Development Goals (SDGs), fostering healthier communities, and developing evidence-driven approaches to enhance health outcomes and address disparities. Objective: The objective of the study was to decompose the urban-rural disparities in minimum acceptable diet intake in Ethiopia using the Ethiopian Mini-Demographic and Health Survey 2019 data. Method: The study was conducted using the Ethiopian Demographic and Health Survey 2019 report. A total of 1,496 weighted children aged 6-23 months were included using stratified sampling techniques. The main outcome variable minimum acceptable diet was calculated as a combined proportion of minimum dietary diversity and minimum meal frequency. A decomposition analysis was used to analyze the factors associated with the urban-rural discrepancy of minimum acceptable diet intake, and the results were presented using tables and figures. Result: The magnitude of minimum acceptable diet among children aged 6-23 months in Ethiopia was 11.0%. There has been a significant disparity in the intake of minimum acceptable diet between urban and rural under-five children with 14 and 10%, respectively. Endowment factors were responsible for 70.2% of the discrepancy, followed by 45.1% with behavioral coefficients. Educational status of college and above was responsible for narrowing the gap between urban and rural residents by 23.9% (ß = 0.1313, 95% CI: 0.0332-0.245). The number of children in the household and the age of the child between 18 and 23 months were responsible for widening the gap in minimum acceptable diet intake discrepancy between urban and rural residents by 30.7% and 3.36%, respectively (ß = -0.002, 95% CI: -0.003 to -0.0011 and ß = -30.7, 95% CI: -0.025 - -0.0085). From the effect coefficients, the effect of institutional delivery was responsible for 1.99% of the widening of the gap between urban and rural residents in minimum acceptable diet intake (ß = -0.0862, 95% CI: -0.1711 - -0.0012). Conclusion: There is a significant variation between urban and rural residents in minimum acceptable diet. The larger portion of the discrepancy was explained by the endowment effect. Educational status of mothers with college and above, parity, age of child, and place of delivery were the significant factors contributing to the discrepancy of minimum acceptable diet intake between urban and rural residents.
Assuntos
Dieta , Inquéritos Epidemiológicos , População Rural , População Urbana , Humanos , Etiópia , Lactente , População Rural/estatística & dados numéricos , Feminino , População Urbana/estatística & dados numéricos , Masculino , Dieta/estatística & dados numéricos , Fatores SocioeconômicosRESUMO
Introduction: Even though breast cancer incidence is lower in Sub-Saharan Africa, its mortality is higher in these countries. However, the impact does not end with diagnosis and treatment; rather many patients struggle with depression which is very common among these patients. This systematic review and meta-analysis helps to provide valuable insights into the overall prevalence of depression and associated factors among breast cancer patients in Sub-Saharan Africa. Method: We searched several databases, including MEDLINE, Embase, Scopus, Hinary, CINHAL and Google Scholar to retrieve relevant literatures from inception up to 15 June 2023. All observational studies, published in English at any time were included, while, letters to editor, review articles, commentaries, interventional and qualitative studies, and, abstracts presented in conferences or seminars were excluded. The results of this systematic review and meta-analysis have been written based on the PRISMA 2020 checklist and the protocol have been registered in PROSPERO database (CRD42023428910). Result: We have included nine articles with 2226 study participants. The result showed that, the pooled prevalence of depression among breast cancer patients in Sub-Saharan Africa was 45.6% (95% CI: 30%-61%) with significant heterogeneity I2 = 98.9%, (Cochrane) Q < 0.0001. There was no single study effect and publication bias but substantial heterogeneity was observed. In addition, there has been a publication bias with eggers test (p < 0.0033). However, there were no studies imputed after trim and fill analysis. From the factors, breast cancer patients who had poor financial support were 1.47 (95% CI: 1.02-2.13) times more at risk of developing depression than their counterparts. Conclusion: The prevalence of depression among breast cancer patients in Sub-Saharan Africa countries were higher than other regions. Thus, Emphasis should be given on developing financial assistance programs designed to cover the medical costs and improving the health care infrastructure.
RESUMO
BACKGROUND: Trauma is the leading cause of morbidity and mortality among adult population in the world. Despite many improvements in technology and care, mortality among trauma patients in the intensive care unit is still high particularly in Ethiopia. However, there is limited evidence on the incidence and predictors of mortality among trauma patients in Ethiopia. Therefore, this study aimed to assess the incidence and predictors of mortality among adult trauma patients admitted to intensive care units. METHODS: Institutional-based retrospective follow-up study was conducted from January 9, 2019 to January 8, 2022. A total of 421 samples were chosen using simple random sampling. Data were collected with Kobo toolbox software and exported to STATA version 14.1 software for data analysis. Kaplan-Meier failure curve and log-rank test were fitted to explore the survival difference among groups. After the bivariable and multivariable Cox regression analysis, an Adjusted Hazard Ratio (AHR) with 95% Confidence Intervals (CI) was reported to declare the strength of association and statistical significance, respectively. RESULT: The overall incidence rate of mortality was 5.47 per 100 person-day observation with a median survival time of 14 days. Did not get pre-hospital care (AHR = 2.00, 95%CI 1.13, 3.53), Glasgow Coma Scale (GCS) score < 9 (AHR = 3.89, 95%CI 1.67, 9.06), presence of complications (AHR = 3.71, 95%CI 1.29, 10.64), hypothermia at admission (AHR = 2.11, 95%CI 1.13, 3.93) and hypotension at admission (AHR = 1.93, 95%CI 1.01, 3.66) were found significant predictors of mortality among trauma patients. CONCLUSION: The incidence rate of mortality among trauma patients in the ICU was high. Did not get pre-hospital care, GCS < 9, presence of complications, hypothermia, and hypotension at admission were significant predictors of mortality. Therefore, healthcare providers should give special attention to trauma patients with low GCS scores, complications, hypotension, and hypothermia and better to strengthen pre-hospital services to reduce the incidence of mortality.