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INTRODUCTION: More than two-third of global child death is occurred due to inappropriate feeding practice that happened during early childhood period. Evidence on meal frequency status among infant and young children at national level can be used to design appropriate interventions to improve the recommended feeding frequency. Therefore, this study was aimed to explore the spatial distribution and identify associated factors of inadequate meal frequency among children aged 6-23 months in Ethiopia. METHODS: Secondary data analysis was conducted using the 2019 mini Ethiopian Demographic and Health Survey data. A total weighted sample of 1,532 children aged 6-23 months were included. To identify significant factors associated with of inadequate meal frequency, multilevel binary logistic regression model was fitted. Variables with p-value < 0.25 from the bi-variable model were exported to multivariable analysis. In the multivariable model, variables with p-value < 0.05 were declared as significantly associated factors and adjusted odds ratio (AOR) with its 95% confidence interval were reported. Multilevel models were compared using deviance and log-likelihood. Spatial analysis tools were utilized to visualize the distribution of inadequate meal frequency. Bernoulli model was fitted using SaTScan V.9.6 to identify most likely clusters and ArcGIS V.10.8 was used to map the hotspot areas. Ordinary least square and geographic weighted regression models were used and compared using information criteria and adjusted-R2. Local coefficients of factors associated with hotspots of inadequate meal frequency were mapped. RESULTS: The prevalence of inadequate meal frequency was 47.03% (95% CI: 44.54%, 49.53%) in Ethiopia. Age of the child, sex of the household head, timely initiation of breastfeeding, current breastfeeding status, number of antenatal care visit, maternal education, and region were significantly associated with inadequate meal frequency. The spatial distribution of inadequate meal frequency was showed significant variation across Ethiopia (Global Moran's I = 0.164, p-value <0.001). A total of 38 significant clusters were detected through SaTScan analysis, from these the 22 primary clusters were located in Somali and Harari. CONCLUSION AND RECOMMENDATION: The prevalence of inadequate meal frequency was high in Ethiopia and had significant clustering patter. Significant hotspot clusters were located in Somali, northern Afar, Harari, Amhara, Gambela, and eastern South nation nationalities and peoples' region. Therefore, public health interventions which enhance breastfeeding practice, optimal number of antenatal care visits, educational empowerments should target hotspot areas to decrease inadequate meal frequency practice.

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Conducta Alimentaria , Comidas , Análisis Multinivel , Análisis Espacial , Humanos , Etiopía/epidemiología , Lactante , Femenino , Masculino , Encuestas Epidemiológicas , Adulto

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Introduction: Anxiety and depression are among the common comorbidities of people diagnosed with cancer. However, despite the progress in therapeutic options and outcomes, mental health care and support have lagged behind for cancer patients. Estimating the extent and determinants of mental health disorders among cancer patients is crucial to alert concerned bodies for action. In view of this, we aimed to determine the pooled prevalence and determinants of anxiety and depression among cancer patients in Ethiopia. Methods: Relevant literatures were searched on PubMed, African Journals Online, Hinari, Epistemonikos, Scopus, EMBASE, CINAHL, Cochrane Library, and Gray literature sources. Data were extracted into an Excel spreadsheet and analyzed using STATA 17 statistical software. The random effect model was used to summarize the pooled effect sizes with their respective 95% confidence intervals. The I2 statistics and Egger's regression test in conjunction with the funnel plot were utilized to evaluate heterogeneity and publication bias among included studies respectively. Results: A total of 17 studies with 5,592 participants were considered in this review. The pooled prevalence of anxiety and depression among cancer patients in Ethiopia were 45.10% (95% CI: 36.74, 53.45) and 42.96% (95% CI: 34.98, 50.93), respectively. Primary and above education (OR= 0.76, 95% CI: 0.60, 0.97), poor social support (OR= 2.27, 95% CI: 1.29, 3.98), occupational status (OR= 0.59; 95% CI: 0.43, 0.82), advanced cancer stage (OR= 2.19, 95% CI: 1.38, 3.47), comorbid illness (OR= 1.67; 95% CI: 1.09, 2.58) and poor sleep quality (OR= 11.34, 95% CI: 6.47, 19.89) were significantly associated with depression. Whereas, advanced cancer stage (OR= 1.59, 95% CI: 1.15, 2.20) and poor sleep quality (OR= 12.56, 95% CI: 6.4 1, 24.62) were the factors associated with anxiety. Conclusion: This meta-analysis indicated that a substantial proportion of cancer patients suffer from anxiety and depression in Ethiopia. Educational status, occupational status, social support, cancer stage, comorbid illness and sleep quality were significantly associated with depression. Whereas, anxiety was predicted by cancer stage and sleep quality. Thus, the provision of comprehensive mental health support as a constituent of chronic cancer care is crucial to mitigate the impact and occurrence of anxiety and depression among cancer patients. Besides, families and the community should strengthen social support for cancer patients. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42023468621.

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Background: Herd immunity against measles is essential to interrupt measles transmission, and this can only be attained by reaching at least 95% coverage for each of the 2 doses of measles vaccine provided in infancy and early childhood age group. It is important to provide everyone with 2 doses of the measles vaccine in order to effectively safeguard the population. Despite this, little is known about the second dosage of the measles vaccine utilization status and the factors that affect it. Therefore, this study aimed to assess second dose of measles vaccination utilization and its associated factors among children aged 24-35 months in Jabitehnan district, 2020. Methods: A community-based cross-sectional study design was conducted at Jabitehnan District, Northwest Ethiopia, from September 1st, 2020 to October 1st, 2020. Systematic random sampling technique was used to select 845 mothers/caregivers who had children aged 24-35 months. Both bi-variable and multivariable logistic regression was fitted to identify the determinant factors of second dose measles vaccination utilization. Finally, the statistical significant variables were declared by using 95% CI and P value less than .05 in the multivariable logistic regression analysis. The Hosmer and Lemeshow test was used to check the model's fit to the data, and the variance inflation factor was used to assess multi-collinearity. Results: The overall second dose of measles vaccination utilization was 48.1%, (95% CI: 44.7-51.6). Mothers with primary school education (AOR = 1.91, 95% CI: 1.15-3.17), information about MCV2 (AOR = 6.53, 95% CI: 4.22-10.08), distance from vaccination site (AOR = 3.56, 95% CI: 2.46-5.14), knowledge about immunization (AOR = 1.935, 95% CI: 1.29-2.90), and favorable attitude about immunization (AOR = 5.19, 95% CI: 3.25-8.29) were significantly associated factors with second dose of measles vaccination utilization. Conclusion: Second dose measles vaccination utilization in the district was lower than the national target. Maternal education, distances from vaccination site, information about MCV2, and knowledge about immunization were significantly associated variables with second dose measles vaccination utilization. Therefore, in order to increase the utilization of the second dose of the measles vaccine, improved health education and service expansion to difficult-to-reach areas are required.