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: Breastfeeding, Ethiopia, Multivariate decomposition analysis and trend (1)
A secondary data analysis was done using 2000, 2005, and 2016 Demographic Health Surveys (DHSs) of Ethiopia. A total weighted sample of 36,685 reproductive-age women was included for analysis from these three EDHS Surveys. Logit based multivariate decomposition analysis was employed for identifying factors contributing to the decrease in FGM over time. The Bernoulli model was fitted using spatial scan statistics version 9.6 to identify hotspot areas of FGM, and ArcGIS version 10.6 was applied to explore the spatial distribution FGM across the country. (Continued on next page) (1)
among the reproductive age women the rate of an acceptable antenatal care visits was increased from 16% in 2005 to 35% in 2016 in Ethiopia. In the multivariate decomposition analysis, about 29% of the increase in acceptable antenatal care visit was due to a difference in composition of women (endowments) across the surveys. Residence, religion, husband educational attainment, and wealth status was the main source of compositional change factors for the improvements of an acceptable antenatal care visit. Almost two-thirds of an overall change in acceptable antenatal care visit was due to the difference in coefficients/ change in behavior of the population. Religion, educational attainment (both women and husband), and residence are significantly contributed to the change in full antenatal care visit in Ethiopia over the last decades. (Continued on next pag (1)
Anemia, Adults, Spatial analysis, Mixed-effects ordinal logistic regression, Ethiopia (1)
Associated factors, Children 6-23 months, Complementary feeding, Timely initiation, Ethiopia (1)
Background. Anaemia is one of the commonest blood disorders seen in patients with diabetes. In Ethiopia, chronic illnesses are tremendously raising with their complications. But very little research has been conducted, particularly on anaemia among diabetes mellitus (DM) patients. *erefore, this study aimed at assessing the prevalence of anaemia and associated factors among type 2 diabetes mellitus patients in Northwest Ethiopia. Methods. A cross-sectional study design was employed at University of Gondar Comprehensive Specialized Hospital from March 1 to April 15, 2019, among 372 type 2 diabetes mellitus patients (T2DM). Multivariable logistic regression analysis was fitted, and the corresponding adjusted odds ratio (AOR) and 95% CI were used to identify factors associated with anaemia. Level of significance was declared at the p value less than 0.05. Results. *e study revealed 8.06% (95% CI: 5.68–11.31%) of the participants were anaemic. Being male (AOR� 2.74, CI: 1.02, 7.38), combined type of treatment (AOR � 8.38, CI: 1.66, 42.25), having diabetes-related microvascular complications (AOR � 3.24, CI: 1.14, 9.26), and hypertension (AOR � 0.01, CI: 0.002, 0.06) were the significant factors associated with anaemia. Conclusions. *e finding of the current study revealed low prevalence of anaemia among T2DM patients. Sex, type of treatment, diabetes-related microvascular complications, and hypertension were factors associated with anaemia. Assessment of haemoglobin levels among T2DM patients may help to prevent ensuing microvascular complications. Incorporate anaemia screening into the routine assessment of diabetic complication particularly for those who are hypertensive and took combined treatment to allow early appreciation and treatment of anaemia and later improve the overall care of patients with diabetes (1)
Background: Globally, between 2012 and 2017, 80% of live births occurred at health facilities assisted by skilled health personnel. In Ethiopia, in 2016 only 26% of live births attended by skilled health personal. This study aimed to assess the spatial patterns and associated factors of home delivery in Ethiopia using 2005, 2011, and 2016 Ethiopian Demographic and Health Surveys. (1)
Bio statistics (10)
Bio statisticsEthiopia is one of the sub-Saharan African countries with high maternal mortality rate due to complication of delivery. Institutional delivery care and postnatal care are key health services that can reduce maternal mortality. The main objective of this study was to identify factors affecting utilization of institutional delivery and postnatal care services. The data for this study were obtained from the 2014 EDHS which is a national representative of women aged 15-49 years. The total number of women included in the study was 3710. Descriptive analysis and binary logistic regression model were used to analyze the data. The descriptive results showed that about 26.2 and 23.6% of women used institutional delivery and postnatal care services, respectively. Binary logistic regression analysis was performed to examine the effect of each predicator variable on the use of institutional delivery and postnatal care among women. Accordingly, educational level, place of residence, sex of household head, wealth index, region and ANC visits were found to be significant determinants of utilizing both institutional delivery and postnatal care at 5% level of significance. Number of living children was also found to be a significant predictor of institutional delivery use. Women who reside in rural areas were less likely to use maternity health care services than those who live in urban areas. Education and wealth index were found to be statistically significant in the use of IDC and PNC. Thus, great attention should be given to women who are living in rural areas, in low wealth index and in illiterate group. (1)
Bio statstics (3)

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