Child Mortality In Ethiopia Research Articles

The effects of reproductive variables on child mortality in Ethiopia: evidence from demographic and health surveys from 2000 to 2016

BackgroundChild mortality is a crucial indicator reflecting a country's health and socioeconomic status. Despite significant global improvements in reducing early childhood deaths, Southern Asia and sub-Saharan Africa still bear the highest burden of newborn mortality. Ethiopia is one of five countries that account for half of new-born deaths worldwide.MethodsThis study examined the relationship between specific reproductive factors and under-five mortality in Ethiopia. A discrete-time survival model was applied to analyze data collected from four Ethiopian Demographic and Health Surveys (EDHS) conducted between 2000 and 2016. The study focused on investigating the individual and combined effects of three factors: preceding birth interval, maternal age at childbirth, and birth order, on child mortality.ResultsThe study found that lengthening the preceding birth interval to 18–23, 24–35, 36–47, or 48+ months reduced the risk of under-five deaths by 30%, 46%, 56%, and 60% respectively, compared to very short birth intervals (less than 18 months). Giving birth between the ages 20–34 and 35+ reduced the risk by 34% and 8% respectively, compared to giving birth below the age of 20. The risk of under-five death was higher for a 7th-born child by 17% compared to a 2nd or 3rd-born child. The combined effect analysis showed that higher birth order at a young maternal age increased the risk. In comparison, lower birth order in older maternal age groups was associated with higher risk. Lastly, very short birth intervals posed a greater risk for children with higher birth orders.ConclusionNot only does one reproductive health variable negatively affect child survival, but their combination has the strongest effect. It is therefore recommended that policies in Ethiopia should address short birth intervals, young age of childbearing, and order of birth through an integrated strategy.

Levels of stunting associated factors among under-five children in Ethiopia: A multi-level ordinal logistic regression analysis.

Stunting is a major public health problem affecting more than one-third of under five year's old children in Ethiopia. It has short and long (irreversible) consequences, including stunted growth, never reaching physical and cognitive potential, struggles in school, and increased morbidity and mortality due to infections. Though stunting is the leading cause of child mortality in Ethiopia, evidence is scarce on the prevalence and predictors of stunting among under-five years old children in Ethiopia. Therefore, this study aimed to estimate the prevalence and predictors of stunting severity among under-5 children in Ethiopia. This study was based on 2019 Mini-Ethiopian Demographic and Health Survey (EDHS) data. A weighted total sample of 4972 under-five years old children was included in the study. Height measurement was collected for each child. Anthropometric indicator, height-for-age was determined for children using World Health Organization growth standards (Z-scores for Height-for-Age (HAZ)) to asses stunting level. Given the ordinal nature of stunting and the hierarchical nature of EDHS data, a multilevel ordinal logistic regression model was applied. Brant test was used to check the proportional odds assumption, which was satisfied (P-value ≥0.05). Moreover, deviance was used for model comparison. For the multivariable analysis, variables with a p-value ≤0.2 in the bivariable analysis were considered. The Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) was reported as associated factor to the severity levels of stunting in the multivariable multilevel proportional odds model. The overall prevalence of stunting among under-5 children in Ethiopia was 35.7% [95% CI: 34.4%, 37.1%]. Of these, 12.1% were severely stunted, and 24.9% were moderately stunted. Being male [AOR = 0.83, 95% CI: 0.74, 0.93], children aged 6-23 months [AOR = 2.38, 95% CI: 1.84, 3.07], ≥ 24 months [AOR = 4.15, 95% CI: 3.26, 5.28], children whose maternal age 15-24 years [AOR = 0.73, 95% CI: 0.58, 0.92], children from the poorest, poorer, middle, and richer household wealth were [AOR = 1.84, 95% CI: 1.32, 2.57], [AOR = 1.66, 95% CI: 1.20, 2.31], [AOR = 1.78, 95% CI: 1.29, 2.44], and [AOR = 1.62, 95% CI: 1.20, 2.17], children whose maternal educational status of no formal education and primary education had [AOR = 1.90, 95% CI: 1.28, 2.82], [AOR = 1.78, 95% CI: 1.22, 2.60], Tigray [AOR = 2.95, 95% CI: 1.78, 4.86], Afar [AOR = 1.85, 95% CI: 1.11, 3.10], Amhara [AOR = 1.90, 95% CI: 1.14, 3.14] and Harari [AOR = 1.97, 95% CI: 1.20, 3.25]regions, low community maternal education [AOR = 0.76, 95% CI: 0.62, 0.92] were significantly associated with stunting severity levelling. Stunting among children under five years of old in Ethiopia remains a major public health issue. Improving access to maternal education is related to appropriate child feeding practices and health, particularly in younger and uneducated mothers. Strengthening the family's wealth status is also recommended to reduce stunting. In addition, it is better to support strategies of preconception care for mothers during pregnancy to reduce stunting in the long term.

Socio-demographic and environmental determinants of under-five child mortality in Ethiopia: using Ethiopian demographic and Health 2019 survey

BackgroundThe under-five mortality rate is a reliable indicator of a country’s general level of development and the wellbeing of its children. Life expectancy is a good indicator of a population’s standard of living.ObjectivesTo identify Socio-demographic and Environmental determinants of under-five child mortality in Ethiopia.MethodsA national representative cross sectional study and a quantitative study were conducted among 5753 households selected based on 2019 Mini-Ethiopian Demographic and Health Survey (EDHS-2019) data. The analysis was done using STATA version 14 statistical software. Bivariate and multivariate analyses were used. To assess the determinants of under-five child mortality in multivariate analysis, p values less than 0.05 were considered statistically significant, and odds ratios with 95% CI (confidence interval) were used.ResultsA total of 5,753 children were included in the study. Sex of the head of the household being female (AOR = 2:350, 95% CI: 1.310, 4.215), the U5CM for being their mother were currently married (AOR = 2:094, 95% CI: 1.076, 4.072), The odds of U5CM was less by 80% (AOR = 1.797, 95% CI: 1.159–2.782) with the number of under-five children at the household born 2-4th order as compared to those children born on the first order. For the mothers visit anti natal care four and above visit (AOR = 1:803, 95% CI: 1.032, 3.149), for the way of delivery (AOR = 0:478, 95% CI: 0.233, 0.982).ConclusionMultivariate logistic analysis reflected that way of delivery, mothers had being currently marred, sex of the head of the household and number of antenatal care visit were found to be significant predictors of under-five child mortality. So, government policy, nongovernmental organizations, and all concerned bodies should be focused on the major determinants of under-five child mortality and put in a lot more effort to reduce under-five child mortality.

Spatio-temporal pattern of short birth interval and associated factors on women in Ethiopia: Using Ethiopian demographic and health surveys 2000-2016.

A short birth interval is a critical factor that contributes to a large number of maternal and infant mortality in low- and middle-income countries. It is the major cause of maternal and child mortality in Ethiopia. This study aimed to explore the spatiotemporal distribution of short birth intervals in Ethiopia using data from four (2000, 2005, 2011, and 2016) consecutive demographic and health surveys. A total of 34,930 women were included in four consecutive Ethiopian Demographic and Health Surveys (EDHS). Thus, spatial autocorrelation, hotspot analysis, cluster analysis, and spatial interpolation were carried out for each survey separately to show the geographical and temporal pattern of at-risk areas for short birth intervals in Ethiopia. Finally, the highest proportion of short birth interval risk areas in each survey period was mapped. Geospatial analysis was conducted by using ArcGIS V.10.8 and R version 4.2. The results of the study indicated that the overall proportion of short birth intervals of women in Ethiopia was highest in 2000 (47.5%), 2005 (46.4%), 2011 (44.7%), and the lowest in 2016 (44.0%). The values for Global Moran's I (MI = 0.177665 p = 0.0016, MI = 0.2024, p = 0.001, MI = 0.10023, p = 0.002, and MI = 0.764, p = 0.008) showed that the presence of significant short birth interval clustering in Ethiopian administrative zones in 2000, 2005, 2011, and 2016, respectively. The hotspot areas for short birth intervals were consistently observed in the zones in the Somali Region and the zones in the Harari Region for all the EDHS years. In addition, the survival status of the index child, residence, breastfeeding practice, religion, and the spatial variable (Si) were significantly associated with the short birth interval of women in all the EDHS years. Spatial distribution of short birth intervals differs across Ethiopian administrative zones. Survival status of the index child being dead, rural residential, and no breastfeeding practice are the risk factors for short birth intervals of women that increase the risk of a short birth interval among women in all the EDHS years. Therefore, the hotspot areas and indicators need interventions to decrease the short birth interval of women.

Residential inequalities in child mortality in Ethiopia: Multilevel and decomposition analyses

Ethiopia is among the five countries which account for half of the global under-five deaths, with the under-five mortality rate of 67 deaths/1000 live births in 2016. Ethiopia had significant inequalities in child mortality between rural and urban areas where the risk of child mortality is largely higher in rural than urban areas. Inequalities in the distribution of factors influencing child mortality need to explain the gap between and within urban-rural areas. The study used the risk of child mortality as an outcome variable. Multilevel logistic regression was used as a standard model for assessing the effect of socioeconomic and contextual factors on child mortality. Furthermore, the Blinder-Oaxaca decomposition technique was used to explain the urban-rural, intra-rural, and intra-urban inequalities in child mortality. The birth order and sanitation type seem to be the most important explanatory factors, followed by wealth status in explaining the rural-urban inequality of 39 deaths/1000 children. Mean proportion indicates that there would be 47 deaths/1000 children for urban poor and 21 deaths/1000 children for urban non-poor, resulting in 26 deaths/1000 children change in urban poor when applying the urban non-poor coefficient and characteristics to urban poor behavior. The findings showed that some residential inequalities in child mortality occur at a level that could be addressed by targeting children, households, and some occurs at a community level that could be addressed by targeting regions. Therefore, any residential sensitive and specific interventions should consider child’s and household’s characteristics, and geographical location.

Assessing Individual- and Community-Level Variability in Predictors of Neonatal, Infant, and Under-Five Child Mortality in Ethiopia Using a Multilevel Modeling Approach.

Background: In low-and middle-income countries, child mortality rates are basic indicators of a country’s socio-economic situation and quality of life. The Ethiopian government is currently working to reduce child mortality to accomplish its long-term development goals. Using data from the Ethiopian Mini Demographic and Health Survey, 2019, this study analyzed the determinants of child mortality in Ethiopia. Methods: A total of 4806 children were considered in the final analyses. Multivariate analysis was used to estimate the effects of the predictors simultaneously on each child mortality outcome. Results: The findings revealed that 31.6% of children died during the neonatal stage, 39.1% during the infant stage, and 48.5% during the under-five stage. Variation in child mortality was discovered between Ethiopian community clusters, with the result of heterogeneity between clusters on newborn mortality (χ2 = 202.4, p-value < 0.0001), (χ2 = 777.35, p-value < 0.0001), and (χ2 = 112.92, p-value < 0.0001). Children’s neonatal, infant, and under-five mortality intracluster correlation coefficient (ICC) were 0.35, 0.33, and 0.36, respectively, across communities. Conclusions: In Ethiopia, under-five mortality remains a serious public health issue, with wide variations and high rates among community clusters. Intervention measures focusing on lowering rates of household poverty, increasing education opportunities, and improving access to health care could assist in reducing child mortality in Ethiopia.

Effects of short birth interval on neonatal, infant and under-five child mortality in Ethiopia: a nationally representative observational study using inverse probability of treatment weighting

ObjectiveTo assess the effect of short birth interval (SBI) on neonatal, infant, and under-five mortality in Ethiopia.DesignA nationally representative cross-sectional survey.SettingThis study used data from the Ethiopia Demographic and Health...

Determinants and Trends of Under-Five Child Mortality in Ethiopia: A Multi-level Logistic Modeling Approach

The burden of under-five mortality remains unevenly distributed. About 80 percent of under-five deaths occur in two regions, sub-Saharan Africa and South Asia. Ethiopia is among the six countries that account for half of the global under-five deaths. The aim of this study was to identify the significant socio-economic and demographic factors influencing under-five child mortality and evaluate the variation among the regional states of Ethiopia. In this study, the 2000, 2005, 2011 and 2016 EDHS data were used to describe the trend of under-five mortality in Ethiopia. The 2016 EDHS data have been used to analyze determinants and variation of under-five mortality by background characteristics. Single-level logistic regression and multilevel logistic regression models were used to identify the major risk factors of under-five mortality and regional variations in under-five child mortality in Ethiopia using the 2016 EDHS data. The results from single-level and multilevel logistic regression analyses showed that Sex of a child, Age of a child in month, Birth type, Birth order number, Number of Household size, Breastfeeding status, Educational level of mother’s, Place of residence and type of toilet facility had significant effects on under-five child mortality and there is variation of under-five child mortality from region to region. Conversely, preceding birth interval, wealth index Household, Source of drinking water and place of delivery were found insignificant. The results revealed variation of under-five child mortality from region to region. The multilevel logistic regression analysis result showed that the effects of breastfeeding varied across regions whereas the effects of other covariates on under-five child mortality remained fixed across regions.

Determinants of Under-Five Child Mortality in Ethiopia: Analysis Using Ethiopian Demographic Health Survey, 2016.

Background Under-five mortality rate is a leading indicator of the level of child health and the overall development in countries which indicate the quality of life of a given population, as measured by life expectancy. Objectives To identify and analyze factors that may have a significant influence on under-five mortality in Ethiopia. Methods A national representative cross-sectional study and a quantitative study were conducted among 18,008 households selected based on 2016 EDHS data. The analysis was done using SPSS version 20 statistical software. Both bivariate and multivariable analyses were employed. In multivariable analysis, p value less than 0.05 was considered statistically significant and odds ratio with 95% CI (confidence interval) was used to assess the determinants of under-five child mortality. Results A total of 10,641 children were included in the study with a 99.0% response rate. The U5CM for being a rural resident (AOR = 1.802, 95% CI: 1.251, 2.595), not breastfeeding (AOR = 2.956, 95% CI: 2.490, 3.511), having multiple birth (AOR = 4.755, 95% CI: 3.440, 6.572), male gender (AOR = 1.363, 95% CI: 1.153, 1.612), having first birth order (AOR = 1.592, 95% CI: 1.275, 1.992), and having family size six and above (AOR = 2.187, 95% CI: 1.769, 2.707). The increment of family size increases the risk of U5CM.Conclusion Multivariate logistic analysis reflected that place of residence, mothers' educational level, religion, current breastfeeding status, type of birth, sex of child, birth order, and family size were found to be significant predictors of under-five child mortality. So, government policy, nongovernmental organizations, and all concerned bodies should be focused on the major determinants of under-five child mortality and put in a lot more effort to reduce under-five child mortality, and health intervention policies should be revised.

Risk factors of child mortality in Ethiopia: Application of multilevel two-part model

The child mortality rate is an essential measurement of socioeconomic growth and the quality of life in Ethiopia which is one among the six countries that account for half of the global under-five deaths. Therefore, this study aimed to identify the potential risk factors for child mortality in Ethiopia. Data for the study was drawn from the Ethiopian Demographic and Health Survey data conducted in 2016. A two-part random effects regression model was employed to identify the associated predictors of child mortality. The study found that 53.3% of mothers did not face any child death, while 46.7% lost at least one. Vaccinated child (IRR = 0.735, 95%CI: 0.647, 0.834), were currently using contraceptive (IRR = 0.885, 95%CI: 0.814, 0.962), who had antenatal care visit four or more times visit (IRR = 0.841, 95%CI: 0.737,0.960), fathers whose level of education is secondary or above(IRR = 0.695, 95%CI: 0.594, 0.814), mothers who completed their primary school(IRR = 0.785, 95%CI: 0.713, 0.864), mothers who have birth interval greater than 36 months (IRR = 0.728, 95%CI: 0.676, 0.783), where the age of the mother at first birth is greater than 16 years(IRR = 0.711, 95%CI: 0.674, 0.750) associated with the small number of child death. While multiple births (IRR = 1.355, 95%CI: 1.249, 1.471, four and above birth order (IRR = 1.487, 95%CI: 1.373, 1.612) and had working father (IRR = 1.125, 95%CI: 1.049, 1.206) associated with a higher number of child death. The variance components for the random effects showed significant variation of child mortality between enumeration areas. Policies and programs aimed at addressing enumeration area variations in child mortality need to be formulated and their implementation must be strongly pursued. Efforts are also needed to extend educational programmers aimed at educating mothers on the benefits of the antenatal checkup before first birth, spacing their birth interval, having their child vaccinated, and selecting a safe place of delivery to reduce child mortality.

Determinants of Rural–Urban Differentials in Under-Five Child Mortality in Ethiopia

This paper examines the factors behind the rural–urban differentials in under‑five child mortality in Ethiopia. It employs Fairlie's decomposition technique to analyse data from three Ethiopian Demographic and Health Surveys conducted by the Central Statistics Agency in 2005, 2011 and 2016. The findings indicate that the child's birth weight, mother’s maternal education, household size, and mother’s exposure to mass media contribute to narrowing the disparity in child mortality rate. On the other hand, antenatal healthcare services and share of women's use of modern contraceptives contribute to widening the rural–urban variations. Hence, we suggest that substantial efforts to do away with rural–urban differentials in under‑five child mortality must focus more on child's birth size disparity and women's education across different population subgroups of the country.

Insufficient referral practices of sick children in Ethiopia shown in a cross-sectional survey.

AimThis study aimed at assessing the referral of sick young infants and children from the community, health posts and health centres to higher levels.MethodsA cross‐sectional survey was conducted in four of the largest Ethiopian regions from December 2016 to February 2017. Referral practices were assessed at each level in 46 districts of these regions. Interviews were supplemented by reviews of registers at health posts and health centres.ResultsThe women's development group leaders, who do not provide health services, referred half of the sick children they visited in the community to the health posts. The health extension workers referred 16% of the sick young infants and 6% of older infants and children to higher levels. From health centres, the health workers referred 6% of sick young infants and 1% of older infants and children to hospital. Many cases of possible severe bacterial infection were not referred to higher levels. A functional ambulance was available for a bit more than a third of the health centres.ConclusionReferral practices of sick young infants and children at all levels were weak that may threaten the continued reduction of child mortality in Ethiopia. Referral logistics were insufficient, which partly could explain the missing referrals of severely ill infants and children.

The Indirect Impact of the COVID-19 Pandemic on Maternal and Child Mortality in Ethiopia: Modelling Study

Background: According to the Ethiopian Federal Ministry of Health daily pandemic report, COVID-19 has caused considerable morbidity and mortality directly due to the virus. The occurrence of COVID-19 has caused serious interruption to high impact essential health services in Ethiopia like in many other countries. However, the indirect impact of the pandemic due to the interruption of other essential health services on maternal and child mortality has not been examined. Therefore, this study aimed to estimate the indirect impact of COVID-19 pandemic on maternal and child mortality in Ethiopia. Methods: We used the Lives Saved Tool (LiST) to estimate the impact of COVID-19. By varying the coverage of essential Maternal and Child Health (MCH) services from the baseline, we build four plausible scenarios that represent possible service interruptions possibilities. Scenario-1 represents a 25% average decrement in MCH service for a year, scenario-2 represents a 35% average service coverage decrement for a year, scenario-3 represents a 50% average service coverage decrement for a year, and the scenario-4 represent a 35% service coverage decrement for a half year duration. Ethiopian Demographic and Health Survey 2016 (EDHS 2016), Ethiopia Mini Demographic and Health Survey 2019 (EMDHS 2019) and for those variable which were not included in EDHS 2016 and EMHDS 2019, multivariate analysis estimates conducted on population-level coverage were used to estimate the baseline coverage and the impact of MCH interventions. Results: Based on scenario-1, additional 10,252 child deaths, 379 maternal deaths, and 1,673 stillbirths would occur per year. Based on scenario-2, over a year, additional 26,307 child deaths, 2,197 maternal deaths and 7,876 stillbirths would occur. Based on scenario-3, additional 41,945 under-5 deaths, 4,038 maternal deaths, and 13,294 stillbirths would result in a year. Wasting was the most predominant factor contributing about 16% to 30% of the additional under-5 deaths.Conclusion: A significant number of additional maternal and child deaths would occur in Ethiopia if the essential health service interruption persists, as seen in the first few months of the pandemic. This is more than the mortality caused by the pandemic itself.

Social determinants of under-5 child health: A qualitative study in Wolkayit Woreda, Tigray Region, Ethiopia.

Despite the significant reductions seen in under-5 child mortality in Ethiopia over the last two decades, more than 10,000 children still die each year in Tigray Region alone, of whom 75% die from preventable diseases. Using an equity lens, this study aimed to investigate the social determinants of child health in one particularly vulnerable district as a means of informing the health policy decision-making process. An exploratory qualitative study design was adopted, combining focus group discussions and qualitative interviews. Seven Focus Group Discussions with mothers of young children, and 21 qualitative interviews with health workers were conducted in Wolkayit district in May-June 2015. Data were subjected to thematic analysis. Mothers’ knowledge regarding the major causes of child mortality appeared to be good, and they also knew about and trusted the available child health interventions. However, utilization and practice of these interventions was limited by a range of issues, including cultural factors, financial shortages, limited female autonomy on financial resources, seasonal mobility, and inaccessible or unaffordable health services. Our findings pointed to the importance of a multi-sectoral strategy to improve child health equity and reduce under-5 mortality in Wolkayit. Recommendations include further decentralizing child health services to local-level Health Posts, and increasing the number of Health Facilities based on local topography and living conditions.

Survival and predictors among preterm neonates admitted at University of Gondar comprehensive specialized hospital neonatal intensive care unit, Northwest Ethiopia

BackgroundPrematurity accounts about 1 million neonatal deaths worldwide and the second causes of both neonatal and under five-child mortality. Neonatal mortality accounts for 43% of under-five child mortality in Ethiopia. From this preterm is the second leading cause of death and is steadily increased in low-income countries. Therefore, the aim of this study was to assess time to death and predictors among preterm neonates admitted in University of Gondar comprehensive specialized hospital neonatal intensive care unit North West Ethiopia 2018.MethodsInstitution-based retrospective follow-up study was conducted among 516 preterm neonates from January 2016 to March 2018. Data were extracted retrospectively from patients’ records using a pretested structured checklist. Descriptive summary statistics like median survival time, Kaplan Meier failure estimation curve and Log-rank test were computed. Bivariate and multivariable Gompertz parametric hazards models were fitted to identify the predictors of mortality. Hazard ratio with a 95% confidence interval was calculated and p-values < 0.05 were considered statistically significant.ResultsThe proportion of preterm neonatal death in this study was 28.8% (95%CI (25.1, 32.9)). Home delivery (AHR = 2.25, 95% CI (1.03, 4.88)), hyaline membrane disease (AHR =3.21, 95% CI (1.96, 5.25)), gestational age, (AHR = 0.82, 95% CI (0.74, 0.91)), cry immediately at birth (AHR = 1.74, 95% CI (1.19, 2.53)), kangaroo mother care (AHR = 0.24, 95%CI (0.11, 0.52)), presence of jaundice (AHR = 1.62, 95%CI (1.12, 2.54)) and hypoglycemia at admission (AHR = 1.75, 95%CI (1.21, 2.54)) were found to be significant predictors of time to death for preterm neonates.ConclusionProportion of preterm neonatal death in this study was high. Home delivery, Jaundice, hypoglycemia, gestational age, cry immediately at birth, kangaroo mother care and hyaline membrane disease were significant predictors of time to death.

Review on Quality Characteristics of Complementary Food and Look for Policy Gap in Case of Ethiopia

Malnutrition is the main factor for mortality and morbidity of children in developing countries. In Ethiopia 57% of death of children under 5 year of age are due to malnutrition. Inappropriate complementary feeding practices and it underlies more than one-third of child mortality in Ethiopia. Baby’s growth and development is dependent on the type and amount of nourishment gets. Breast milk and the quality of complementary food play important role in baby’s growth. When breast milk is no longer enough to meet the nutritional needs of the infant, complementary foods should be added to the diet of the child. The transition from exclusive breastfeeding to family foods, referred to as complementary feeding, during the period of complementary feeding, children are at high risk of under nutrition. Complementary foods are often of inadequate nutritional quality, or they are given too early or too late, in too small amounts, or not frequently enough. So consuming quality complementary foods should be given. The Guiding principles for complementary feeding of the breast feed child, set standards for developing locally appropriate feeding recommendations. They provide guidance on desired feeding behaviors as well as on the amount, consistency, energy density and nutrient content of foods. For energy, 200, 300, and 550 kcal per day is expected to be covered by complementary foods at 6–8, 9–11, and 12–23 months, respectively In addition, the complementary foods must provide relatively large proportions of micronutrients such as iron, zinc, phosphorus, magnesium, calcium, and vitamin –A. Complementary feeding should be timely, meaning that all infants should start receiving foods in addition to breast milk from 6 months onwards. It should be adequate, meaning that the complementary foods should be given in amounts and consistency and using a variety of foods to cover the nutritional needs of the growing child while maintaining breastfeeding.

Effects of Preceding Birth Intervals on child mortality in Ethiopia; Evidence from the Demographic and Health Surveys, 2016

Effects of Preceding Birth Intervals on child mortality in Ethiopia; Evidence from the Demographic and Health Surveys, 2016

Determinants of child anthropometric indicators in Ethiopia

BackgroundMalnutrition is one of the major contributors to child mortality in Ethiopia. Currently established, child nutrition status is assessed by four anthropometric indicators. However, there are other factors affecting children’s anthropometric statuses. Thus, the main objective of this paper is to explore some of the determinants of child anthropometric indicators in Ethiopia.MethodsData from GROW (the Growing Nutrition for Mothers and Children), a survey including 1261 mothers and 1261 children was carried out in Ethiopia in 2016. Based on the data gathered, the goal of GROW is to improve the nutritional status of women of reproductive age (15–49), as well as boys and girls under 5 years of age in Ethiopia. In order to investigate the association between different factors and child anthropometric indicators, this study employs various statistical methods, such as ANOVA, T-test, and linear regressions.ResultsChild’s sex (confidence intervals for (wasting = − 0.782, − 0.151; stunting = − 0.936,-0.243) (underweight = − 0.530, − 0.008), child’s age (confidence intervals for (wasting = − 0.020, 0.007; stunting = − 0.042,-0.011) (underweight = − 0.025, − 0.002), maternal MUAC (confidence intervals for (wasting = 0.189, 0.985; BMI-for-age = 0.077, 0.895), maternal education (stunting = 0.095, 0.897; underweight = 0.120, 0.729), and open defecation (stunting = 0.055, 0.332; underweight = 0.042, 0.257) were found to be significantly associated with anthropometric indicators. Contrary to some findings, maternal dietary diversity does not present significance in aforementioned child anthropometric indicators.ConclusionDepending on the choice of children anthropometric indicator, different conclusions were drawn demonstrating the association between each factor to child nutritional status. Results showed child’s sex, age, region, open defecation, and maternal MUAC significantly increases the risk of child anthropometric indicators. Highlighting the factors influencing child undernutrition will help inform future policies and programs designed to approach this major problem in Ethiopia.

Socio-Economic and Demographic Determinants of Under-Five Mortality in Ethiopia, 2011

Background: Although the economic conditions in Ethiopian households have recently improved, under-five mortality has remained one of the major problems in the country. Identification of the risk factors for under-five mortality is an important problem that needs to be addressed. This study aimed to estimate the effect of socio-economic and demographic factors on under-five mortality in Ethiopia. Methods: Data consisting of a nationally representative sample of 26370 children in the 2011 Ethiopia Demographic and Health Survey was analyzed. The survey logistic regression model was adopted for analysis. The outcome variable was the child’s survival status i.e. the child being either alive or dead. The explanatory variables were the socio-economic and demographic factors for mother and child, respectively. Results: The overall significance of all variables was investigated, and the following variables were found to have significant effect on the under-five mortality in Ethiopia: the sex of child, mother’s age at birth, the region, area of residence and educational of the mother. Conclusion: This study suggests that improving the educational level of mothers and reducing the regional disparity can reduce child mortality in Ethiopia.

Determinant of Under-Five Child Mortality in Ethiopia

Many countries are not on track to complete UNICEF’s Millennium Development Goals (MDGs) target of a two-thirds reduction in the rate of child mortality by 2015. This paper examines determinants of under-five mortality in Ethiopia. The study utilizes the data extracted from the 2011 Ethiopia demographic and health survey. Multivariate logistic analysis reflects that sex of the child, family size, education level of mother, age at first birth of mother, breast-feeding; using contraceptive method and region of child have significant influence on under-five child mortality in Ethiopia. The proximate determinants are found to have stronger influence on under-five mortality than the socioeconomic factors considered in the study do.