Micronutrient intake status and associated factors among children aged 6-23 months in the emerging regions of Ethiopia: A multilevel analysis of the 2016 Ethiopia demographic and health survey

Employing machine learning techniques for prediction of micronutrient supplementation status during pregnancy in East African Countries

Micronutrient deficiencies, known as "hidden hunger" or "hidden malnutrition," pose a significant health risk to pregnant women, particularly in low-income countries like the East Africa region. This study employed eight advanced machine learning algorithms to predict the status of micronutrient supplementation among pregnant women in 12 East African countries, using recent demographic health survey (DHS) data. The analysis involved 138,426 study samples, and algorithm performance was evaluated using accuracy, area under the ROC curve (AUC), specificity, precision, recall, and F1-score. Among the algorithms tested, the random forest classifier emerged as the top performer in predicting micronutrient supplementation status, exhibiting excellent evaluation scores (AUC = 0.892 and accuracy = 94.0%). By analyzing mean SHAP values and performing association rule mining, we gained valuable insights into the importance of different variables and their combined impact, revealing hidden patterns within the data. Key predictors of micronutrient supplementation were the mother's education level, employment status, number of antenatal care (ANC) visits, access to media, number of children, and religion. By harnessing the power of machine learning algorithms, policymakers and healthcare providers can develop targeted strategies to improve the uptake of micronutrient supplementation. Key intervention components involve enhancing education, strengthening ANC services, and implementing comprehensive media campaigns that emphasize the importance of micronutrient supplementation. It is also crucial to consider cultural and religious sensitivities when designing interventions to ensure their effectiveness and acceptance within the specific population. Furthermore, researchers are encouraged to explore and experiment with various techniques to optimize algorithm performance, leading to the identification of the most effective predictors and enhanced accuracy in predicting micronutrient supplementation status.

Vitamin A supplementation status and associated factors among children aged 6-59 months in Tanzania: a multi-level analysis

Background

Vitamin A supplementation every 4-6 months is an economical, rapid, and effective strategy to enhance vitamin A status and minimize child morbidity and mortality due to vitamin A deficiency in the long run. Therefore, this study was aimed at investigating the level as well as the factors influencing VAS status among children aged 6-59 months in Tanzania.

Methods

This analysis relied on data from the 2022 Tanzania Demographic and Health Survey (TDHS). The study used a weighted sample of 9,382 children aged 6-59 months. Given the effect of clustering and the binary character of the outcome variable, we employed a multilevel binary logistic regression model. The adjusted odds ratio (AOR) with a 95% confidence interval (CI) was used to determine statistical significance, considering the model with the lowest deviation that best fits the data.

Results

In this study, vitamin A supplementation among children aged 6-59 months was found to be 53.18% [95% CI: 52.17, 54.19]. Mother's/caregiver's working status; Working [AOR = 1.59, 95% CI: 1.34, 1.89], ANC follow-up [AOR = 1.71, 95%CI: 1.34, 2.2], and health facility delivery [AOR = 1.55, 95%CI: 1.25, 1.91] were individual-level factors associated with vitamin A supplementation. Whereas administrative zones of Western [AOR = 2.02, 95% CI: 1.16, 3.52], Southern highlands [AOR = 3.83, 95% CI: 2.02, 7.24], Southern administrative zone [AOR = 2.69, 95% CI: 1.37, 5.3], and South West highlands [AOR = 0.56, 95% CI: 0.33, 0.95] were community-level factors associated with vitamin A supplementation.

Conclusion

The proportion of VAS among children in Tanzania is low compared to UNICEF's target of 80. Mother's/caregiver's working status, antenatal care, place of delivery, community-level media exposure, and administrative zones were significantly associated factors with vitamin A supplementation. Therefore, interventions should be designed to improve the uptake of VAS. Provision and promotion of ANC and institutional delivery and strengthening of routine supplementation are recommended to increase coverage of childhood vitamin A supplementation. Moreover, special focus should be given to regions in the south-western highlands.

Suboptimal micronutrient intake among children aged 6 to 23 months in Ethiopia: Further analysis of the demographic and health survey

BACKGROUND

The recommended essential micronutrient such as food rich in vitamin-A or iron, multiple micronutrient powder or iron supplement, routine daily consumption of iodine, and vitamin-A supplement are deficient among children in Ethiopia. This has been a significant public health problem despite the government efforts. Although few studies have examined the micronutrient intake among children, they are limited in scope and methodological measurements. Analyzing the micronutrient intake among children across all regions and leveraging all essential micronutrient elements are crucial for generating improved evidence to better inform policy. Thus, we examined the micronutrient intake among children aged 6 to 23 months in Ethiopia.

METHODS

We used data from the Ethiopian Demographic and Health Survey. A two-stage stratified sampling technique was employed, and 1392 children aged 6 to 23 months were included in our analysis. We conducted a multilevel mixed-effect binary logistic regression analysis to identify determinants of micronutrient intake. In the final model, we used a p-value of less than 0.05 and Adjusted Odds Ratio (AOR) with their 95% confidence interval (CI).

RESULTS

We found that only 27.6% (95% CI: 26.8-31.6) of children aged 6 to 23 months were received the recommended micronutrients in Ethiopia. We identified that maternal educational status (Educated mothers (AOR = 2.09, 95%CI:1.23-3.58)), health facility delivery (AOR = 2.14, 95%CI:1.42-2.98), household wealth status (middle quantile (AOR = 1.80, 95%CI:1.01-3.21)), children's age (12 to 23 months age (AOR = 2.36, 95% CI: 1.33-4.21)), and mother's exposure to media (AOR = 1.70, 95%CI: 1.42-2.04) were increased micronutrient intake, whereas residing in the rural communities (AOR = 0.27, 95%CI: 0.21-0.34) decreased micronutrient intake.

CONCLUSIONS

Nearly three-fourths of children aged 6 to 23 months did not receive the recommended essential micronutrients in Ethiopia. Therefore, there is a need to broaden strategies aimed at enhancing the intake by improving information and knowledge dissemination among mothers during facility visits and through media channels.

Mothers' experience of losing infants by death and its predictors in Ethiopia

BACKGROUND

Although infant deaths worldwide have reduced, many children die before their first birthday. Infant deaths are widespread in low-income countries, and information about the cause of death is limited. In Ethiopia, 53% of infants' deaths occurred in their neonatal period, and 174 infants' deaths occurred from 3684 births. Hence, this study aimed to assess mothers' experiences with infant death and its predictors in Ethiopia.

METHODS

A total of 1730 weighted samples of mothers from the 2019 EDHS dataset, which was collected across the regions of Ethiopia, were included for analysis. A two-stage cluster sampling technique with a cross-sectional study design was used. All mothers whose children were under the age of 0-12 months were included in this study. Six count regression models were considered and compared using Akaike's information criteria and Bayesian information criterion with STATA version 15 software. The strength of the association between the number of infant deaths and possible predictors was determined at a P-value less than 0.05, with a 95% confidence interval. The findings were interpreted by using the incident rate ratio.

RESULTS

A total of 46.3% of mothers had lost at least one infant by death in the last five years before the 2019 EDHS survey was held. The mean and variance of infant deaths were 2.55 and 5.58, respectively. The histogram was extremely picked at the beginning, indicating that a large number of mothers did not lose their infants by death, and that shows the data had positive skewness. Mothers under 25-29 years of age (IRR: 1.75, 95% CI:1.48, 2.24), and 30-34 years of age (IRR: 1.42, 95% CI: 1.12, 2.82), Somali (IRR: 1.47, 95% CI: 1.02, 3.57), Gambela (IRR: 1.33, 95% CI: 1.10, 2.61), and Harari (IRR: 1.39, 95% CI: 1.02, 2.63) regions, rural resident mothers (IRR: 1.68, 95% CI: 1.09, 1.91, and Protestant (IRR = 1.43, 95% CI: 1.14, 2.96), and Muslim (IRR = 1.59, 95% CI: 1.07, 2.62) religion fellow of mothers were associated with a high risk of infants' deaths. Whereas, being rich IRR: 0.37, 95% CI: .27, .81) and adequate ANC visits (IRR: 0.28, 95% CI: .25, .83) were associated with a low risk of infant death.

CONCLUSION

Many mothers have experienced infant deaths, and the majority of infants' deaths occur after the first month of birth. Encouraging mothers to attend antenatal care visits, creating mothers' awareness about childcare, and ensuring equal health services distribution and utilization to rural residents are essential to minimize infant death. Educating lower-aged reproductive mothers would be a necessary intervention to prevent and control infant deaths.

Employing advanced supervised machine learning approaches for predicting micronutrient intake status among children aged 6-23 months in Ethiopia

Background

Although micronutrients (MNs) are important for children's growth and development, their intake has not received enough attention. MN deficiency is a significant public health problem, especially in developing countries like Ethiopia. However, there is a lack of empirical evidence using advanced statistical methods, such as machine learning. Therefore, this study aimed to use advanced supervised algorithms to predict the micronutrient intake status in Ethiopian children aged 6-23 months.

Methods

A total weighted of 2,499 children aged 6-23 months from the Ethiopia Demographic and Health Survey 2016 data set were utilized. The data underwent preprocessing, with 80% of the observations used for training and 20% for testing the model. Twelve machine learning algorithms were employed. To select best predictive model, their performance was assessed using different evaluation metrics in Python software. The Boruta algorithm was used to select the most relevant features. Besides, seven data balancing techniques and three hyper parameter tuning methods were employed. To determine the association between independent and targeted feature, association rule mining was conducted using the a priori algorithm in R software.

Results

According to the 2016 Ethiopia Demographic and Health Survey, out of 2,499 weighted children aged 12-23 months, 1,728 (69.15%) had MN intake. The random forest, catboost, and light gradient boosting algorithm outperformed in predicting MN intake status among all selected classifiers. Region, wealth index, place of delivery, mothers' occupation, child age, fathers' educational status, desire for more children, access to media exposure, religion, residence, and antenatal care (ANC) follow-up were the top attributes to predict MN intake. Association rule mining was identified the top seven best rules that most frequently associated with MN intake among children aged 6-23 months in Ethiopia.

Conclusion

The random forest, catboost, and light gradient boosting algorithm achieved a highest performance and identifying the relevant predictors of MN intake. Therefore, policymakers and healthcare providers can develop targeted interventions to enhance the uptake of micronutrient supplementation among children. Customizing strategies based on identified association rules has the potential to improve child health outcomes and decrease the impact of micronutrient deficiencies in Ethiopia.

Prevalence of multiple micronutrient powders consumption and its determinants among 6- to 23-month-old children in East Africa: a mixed effect analysis using the recent population based cross sectional national health survey

BACKGROUND

To address iron deficiency anemia, Multiple Micronutrient Powders (MMNPs) can be sprinkled onto any semisolid diet and given to young children. There is currently no data on actual MMNPs uptake by children; hence, the study's goal was to investigate MMNPs and determinants among children aged 6-23 months in East Africa.

METHODS

Data from the 2016-2022 East Africa demographic and health survey extracted from Kids Records (KR) files were used in this study. A total of 33,324 weighted 6- to 23-month-old child samples were included. For assessing model fitness and contrast, the intra-class correlation coefficient, median odds ratio, proportional change in variance, and deviance were used. A multilevel logistic regression model was applied to identify variables that may influence MMNPs intake. In the multivariable multilevel logistic regression analyses, variables were judged to be significantly linked with MMNPs intake if their p-values were < 0.05.

RESULTS

In East Africa, the prevalence of MMNPs intake among infants aged 6-23 months was 6.45% (95% CI, 6.19%, 6.22%). Several factors were found to be significantly associated with MMNPs consumption. These factors include older maternal age (AOR = 1.23, 95% CI, 1.09, 1.39) and (AOR = 1.46, 95% CI, 1.23, 1.73), poorer (AOR = 0.73, 95% CI, 0.64, 0.84), middle (AOR = 0.75, 95% CI, 0.66, 0.86), richer (AOR = 0.61, 95% CI, 0.52, 0.71), and richest (AOR = 0.49, 95% CI, 0.41, 0.59) as compared to poorest, having employment status (AOR = 0.65, 95% CI, 0.59, 0.71), mass media exposure (AOR = 1.61, 95% CI, 1.35, 1.78), longer birth interval (AOR = 1.19, 95% CI, 1.28, 1.36), place of delivery (AOR = 1.46, 95% CI, 1.28,1.66), and mothers from rural areas (AOR = 0.71, 95% CI, 0.62,0.80).

CONCLUSIONS

Overall, MMNPs intake was lower than the national and international recommendations. Only seven out of every hundred children received MMNPs. Improving maternal preventive health care and supporting marginalized women will have a positive impact.

Receipt of core antenatal care components and associated factors in Ethiopia: a multilevel analysis

Background

Despite recent promising progress, maternal morbidity and mortality are still unacceptably high in Ethiopia. This is partly attributed to the lack of quality health services. Pregnant women may not receive adequate services that are essential to protect the health of women and their unborn children. This study aimed to examine the extent of receiving prenatal care components and associated factors in Ethiopia. It also assessed prenatal service use inequality between urban and rural residents.

Methods

The analysis was carried out using the 2016 Ethiopian Demographic and Health Survey (EDHS), which is nationally representative survey data. A weighted sample of 4,772 women nested within 595 communities who had live births five years preceding the survey was included in the study. Necessary adjustments were made to account for the design of the survey, and sampling weights were used to adjust for nonproportional allocation of the sample to strata. Bivariate and multivariable multilevel ordered logit models were used to analyze factors associated with receiving comprehensive ANC contents. Statistically significant predictors were identified at p value ≤ 0.05.

Results

Among those women who had at least one ANC visit, only 15% (95% CI: 13, 16) received six core elements of antenatal care. The proportion of mothers who had essential prenatal components in rural areas was less than 13 percentage points. Approximately 43% of women did not receive at least two doses of tetanus toxoid vaccines to protect them and newborn infants against this life-threatening disease. Moreover, the majority of them, particularly those in rural Ethiopia, were not informed about pregnancy danger signs. Mothers who had at least four ANC visits received more types of prenatal components compared to those who had fewer ANC visits. The multilevel regression analysis revealed that receiving adequate ANC content is positively associated with having more frequent ANC visits, attaining a higher education level, being a member of a household in the highest wealth quintile and residing in urban areas.

Conclusion

The evidence implies that the quality of maternal health services needs to be improved. Health programs and interventions should also give priority to rural areas where the majority of Ethiopian women reside.

Less than one in four mothers get quality intrapartum health care services in Ethiopia

Intrapartum care is a platform of comprehensive healthcare for pregnant women that is designed to improve birth outcomes for mother and child. However, complications during the intrapartum period continued to be the leading cause of death for women of reproductive age and newborns. Therefore, the aim of this study was to assess the prevalence of quality of intrapartum care and its associated factors among mothers in Ethiopia. A community based cross sectional study was conducted among 4469 mothers who gave birth in the last 2 years. Quality of intrapartum care was analyzed based on the assessment of health facility delivery, skilled birth attendants and early initiations of breast-feeding. Stata version 14 software was used for data cleaning and analysis. A mixed effect multilevel logistic regression was conducted to determine factors associated with quality of intrapartum care. An adjusted odds ratio with 95% confidence interval and a P value of less than or equal to 0.05 was used for the identification of both individual and community level factors. Overall, the prevalence of quality intrapartum care in Ethiopia was 23.8% (95% CI 22.6, 25.13). Primary education (AOR = 1.46, 95% CI = 1.14, 1.88), rich household class (AOR = 1.48, 95% CI = 1.10, 1.98), history of ANC (AOR = 2.91, 95% CI = 2.18, 3.86), perceived distance to the health facility as not a big issue (AOR = 1.63, 95% CI = 1.30, 2.05), urban residence (AOR = 2.97, 95% CI = 1.93, 5.09), Tigray region (AOR = 5.01, 95% CI = 1.25, 20.59), community level poverty (AOR = 0.63, 95% CI = 0.41, 0.97), and having 2-4 children (AOR = 0.74, 95% CI = 0.56, 0.97) were significantly associated with quality of intrapartum care. The finding conclude that less than one in four mothers received good quality intrapartum care. In order to optimize the quality of intrapartum care, the government should empower women through extensive education. It is also recommended for the Ministry of Health to evaluate the health facilities and community health workers to increase coverage of ANC and provide financial assistance to rural residents and the poor household class.

Predictors of micronutrient deficiency among children aged 6-23 months in Ethiopia: a machine learning approach

Introduction

Micronutrient (MN) deficiencies are a major public health problem in developing countries including Ethiopia, leading to childhood morbidity and mortality. Effective implementation of programs aimed at reducing MN deficiencies requires an understanding of the important drivers of suboptimal MN intake. Therefore, this study aimed to identify important predictors of MN deficiency among children aged 6-23 months in Ethiopia using machine learning algorithms.

Methods

This study employed data from the 2019 Ethiopia Mini Demographic and Health Survey (2019 EMDHS) and included a sample of 1,455 children aged 6-23 months for analysis. Machine Learning (ML) methods including, Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), Neural Network (NN), and Naïve Bayes (NB) were used to prioritize risk factors for MN deficiency prediction. Performance metrics including accuracy, sensitivity, specificity, and Area Under the Receiver Operating Characteristic (AUROC) curves were used to evaluate model prediction performance.

Results

The prediction performance of the RF model was the best performing ML model in predicting child MN deficiency, with an AUROC of 80.01% and accuracy of 72.41% in the test data. The RF algorithm identified the eastern region of Ethiopia, poorest wealth index, no maternal education, lack of media exposure, home delivery, and younger child age as the top prioritized risk factors in their order of importance for MN deficiency prediction.

Conclusion

The RF algorithm outperformed other ML algorithms in predicting child MN deficiency in Ethiopia. Based on the findings of this study, improving women's education, increasing exposure to mass media, introducing MN-rich foods in early childhood, enhancing access to health services, and targeted intervention in the eastern region are strongly recommended to significantly reduce child MN deficiency.

Postpartum long-acting reversible contraceptives use in sub-Saharan Africa. Evidence from recent demographic and health surveys data

BACKGROUND

In developing countries, most women want to avoid pregnancy for two years after giving birth. However, 70% do not use contraceptives during this time. Unintended pregnancies may occur for couples who delay contraceptive use during the postpartum period. The most effective form of contraceptive methods for postpartum women is long-acting reversible contraceptive (LARC). Therefore, this study aimed to assess long-acting reversible contraceptive use and associated factors among postpartum women in Sub-Saharan Africa.

METHODS

Secondary data analysis was performed using the recent Demographic and Health Surveys (DHS). Stata version 14 was used to analyze the data. A multilevel mixed-effect logistic regression model was used to identify factors associated with long-acting reversible contraceptive use. Variables with a p-value < 0.05 in the multilevel mixed-effect logistic regression model were declared significant factors associated with long-acting reversible contraceptives.

RESULTS

The magnitude of long-acting reversible contraceptive use among postpartum women was 12.6% (95% CI: 12.3, 12.8). Women primary (aOR = 1.51; 95% CI: 1.41, 1.63) and secondary education (aOR = 1.62; 95% CI: 1.32, 1.71), media exposure (aOR = 1.73; 95% CI: 1.51, 1.85), place of delivery (aOR = 1.54; 95% CI: 1.43, 1.67), number of ANC visit; 1-3 (aOR = 2.62; 95% CI: 2.31, 2.83) and ≥4 (aOR = 3.22; 95% CI: 2.93, 3.57), received PNC (aOR = 1.34; 95%CI: 1.13, 1.58), and income level; low middle income (aOR = 2.41; 95% CI: 2.11, 2.88) and upper middle income (aOR = 1.83; 95% CI: 1.56, 1.24) were significantly associated with long-acting reversible contractive use.

CONCLUSION

Nearly one in 10 postpartum women used long-acting reversible contraceptives. Hence, we suggest that the concerned bodies should promote family planning messages in mass media and give the well-documented benefits of postpartum long-acting contraceptive use. Promote the integration of postpartum LARC methods into maternal health care services and give better attention to postpartum women living in low-income countries and uneducated women.

Spatial distribution, magnitude, and predictors of high fertility status among reproductive age women in Ethiopia: Further analysis of 2016 Ethiopia Demographic and Health Survey

BACKGROUND

Women's health and welfare, as well as the survival of their children, are adversely affected by high fertility rates in developing countries. The fertility rate in Ethiopia has been high for a long time, with some pockets still showing poor improvement. Thus, the current study is aimed to assess the spatial distribution and its predictors of high fertility status in Ethiopia.

METHODS

Secondary data analysis was used using the 2016 Ethiopian Demographic and Health Survey (EDHS). The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyze the purely spatial clusters of high fertility status. ArcGIS version 10.8 was used to visualize the distribution of high fertility status across the country. Mixed-effect logistic regression analysis was also used to identify the predictors of high fertility.

RESULT

High fertility among reproductive-age women had spatial variation across the country. In this study, a higher proportion of fertility occurred in Somali region, Southeastern part of Oromia region, and Northeastern part of SNNPR. About 45.33% (confidence interval: (44.32, 46.33) of reproductive-age women had high fertility. Education; no formal (aOR: 13.12, 95% CI: 9.27, 18.58) and primary (aOR: 5.51, 95% CI: 3.88, 7.79), religion; Muslim (aOR: 1.52, 95% CI: 1.28, 1.81) and Protestant (aOR: 1.48, 95% CI: 1.23, 1.78), age at first birth (aOR: 2.94, 95% CI: 2.61, 3.31), age at first sex (aOR: 1.70, 95% CI: 1.49, 1.93), rural resident (aOR: 3.76, 95% CI: 2.85, 4.94) were predictors of high fertility in Ethiopia.

CONCLUSION

The spatial pattern of high fertility status in Ethiopia is clustered. Hotspot areas of a problem were located in Somali, Central Afar, Northeastern part of SNNPR, and Southeastern part of Oromia region. Therefore, designing a hotspot area-based interventional plan could help to reduce high fertility. Moreover, much is needed to be done among rural residents, reducing early sexual initiations and early age at first birth, and enhancing women's education. All the concerned bodies including the kebele administration, religious leaders, and community leaders should be in a position to ensure the practicability of the legal age of marriage.

Spatial distribution and associated factors of poor tetanus toxoid immunization among pregnant women in Ethiopia: spatial and multilevel analysis

Background

Neonatal mortality from tetanus can be reduced by 94% when pregnant women receive at least two doses of tetanus toxoid. In Ethiopia, immunization programs are suboptimal despite their importance. Therefore, the aim of this study was to examine the geographic distribution and associated factors of poor tetanus toxoid (TT) immunization among pregnant women in Ethiopia.

Methods

Secondary data analysis was used using the 2016 Ethiopian Demographic and Health Survey (EDHS). ArcGIS version 10.8 statistical software was used to explore the spatial distribution of poor TT immunization and SaTScan version 9.6 software was used to identify significant hotspot areas of poor TT immunization. For associated factors, a multilevel binary logistic regression model was fitted using STATA version 14 software. In the multivariable multilevel analysis, adjusted OR (AOR) with 95% CI was reported to reveal significantly associated factors of poor TT immunization.

Result

In Ethiopia, the spatial distribution of poor tetanus toxoid immunization was clustered with Global Moran's I = 0.59 at p-value of <0.0001. The highest poor TT immunization clusters were observed in the East and South Tigray, the central part of Amhara, West Afar, East Somali, and West Gambella. Pregnant women with no Antenatal care (ANC) visits [Adjusted Odds Ratio (aOR) = 10.46, 95% CI: (8.82, 12.41))], pregnant women with 1-3 ANC visits [aOR = 1.51, 95% CI: (1.31, 1.73)], media exposure [aOR = 1.45, 95% CI: (1.26, 1.67)], poor wealth index [aOR = 1.22; 95% CI: (1.03, 1.45)], middle wealth index [aOR = 1.23; 95% CI: (1.03, 1.47)], family planning use [aOR = 1.28; 95% CI: (1.11, 1.57)] and community level education [aOR = 1.43, 95% CI: (1.14, 1.80)] were significantly associated with poor tetanus toxoid immunization.

Conclusion

Poor tetanus toxoid immunization among pregnant women varies in Ethiopia. It was highest in East and South Tigray, the central part of Amhara, West Afar, East Somali, and West Gambella. Therefore, public health programs should design targeted interventions in identified hot spots to improve tetanus toxoid immunization. Health programmers should be promoting optimal ANC visits, women's education, and family planning use.

Micronutrient intake status and associated factors in children aged 6-23 months in sub-Saharan Africa

Micronutrient deficiency has serious consequences across all ages worldwide, particularly in sub-Saharan Africa. Poor micronutrient (MN) consumption among children remains a major public health concern in many countries. Low literacy, poor diets, a lack of access to healthcare, and insufficient agricultural productivity made proper micronutrient consumption difficult, despite numerous interventions. Thus, this research aimed to determine the adequate intake of MNs among 6-23 months of age children in sub-Saharan Africa. Initially, a two-stage stratified sampling technique was applied for the selected recent demographic and health survey data. The data source was the (2015-2020) standard demographic and health surveys (DHS) among 20 Sub-Saharan African countries. Micronutrient intake status (the outcome variable) was determined using either food rich in Vitamin A or iron consumed within the previous 24 hr or multiple micronutrient powder or iron supplementation within the previous 07 days or vitamin A supplementation or deworming within 06 months. A generalized linear mixed model based on Modified Poisson regression and robust error variance was used to identify factors associated with children's adequate micronutrient intake. An adjusted Prevalence Ratio (aPR) with a 95% confidence interval was used to identify factors, strength and direction of the association. The total samples of 65,187 children aged 6-23 months were included. Of all, 73.99% (95% CI: 73.65, 74.32) of children had adequate intake of micronutrients. Maternal education (primary (aPR = 1.04, 95% CI: 1.02, 1.06) and secondary (aPR = 1.07, 95% CI: 1.04, 1.09)), father's education (primary (aPR = 1.03, 95% CI: 1.01, 1.05) and secondary (aPR = 1.04, 95% CI: 1.02, 1.06)), occupational status of the mother (aPR = 1.04, 95% CI: 1.02, 1.06), pregnancy interval (aPR = 0.97, 95% CI: 0.95, 0.99), exclusive breastfeeding status (aPR = 0.83, 95% CI: 0.82, 0.85), birthweight (average (aPR = 1.03, 95% CI: 1.01, 1.05) and larger than average (aPR = 1.04, 95% CI: 1.02, 1.06)), multiple/twin at birth (aPR = 0.94, 95% CI: 0.91, 0.98), child age (aPR = 1.22, 95% CI: 1.19, 1.25), number of children in home (aPR = 1.02, 95% CI: 1.01, 1.03), ANC utilization (aPR = 1.20, 95% CI: 1.15, 1.27), place of birth (AOR = 0.93, 95% CI: 0.91, 0.95), rich households (aPR = 1.03, 95% CI: 1.01, 1.05), and countries from Central (aPR = 1.07, 95% CI: 1.04, 1.09), South Africa (aPR = 1.07, 95% CI: 1.03, 1.11), and West African (aPR = 0.95, 95% CI: 0.92, 0.99) were associated with level of micronutrients intake status. The prevalence of adequate intake of MN was considerable. Variables at the child, family and community levels were associated with adequate intake of micronutrients. Consequently, stakeholders' involvement is required in healthcare and community settings.

Predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia. A multilevel mixed effect analysis

BACKGROUND

A high fertility rate can have a number of expensive consequences for developing nations, such as limiting economic growth, adversely impacting women and their children's health, and reducing access to quality education, nutrition, and employment. The problem is more obvious in Ethipia's high fertility regions. Therefore, this study aimed to assess predictors of desire to limit childbearing among reproductive age women in high fertility regions in Ethiopia.

METHODS

The analysis was based on secondary data using the 2016 Ethiopian Demographic and Health Survey. Stata version 14 software was used for analysis. A multi-level mixed-effect logistic regression analysis was fitted. Adjusted Odds Ratio at 95% confidence interval was used to show the strength and direction of the association. Statistical significance was declared at a P- value less than 0.05.

RESULTS

The overall desire to limit childbearing in high fertility regions in Ethiopia was 37.7% (95% CI: 36.28, 39.17). Age; 25-34 (AOR = 3.74; 95% CI: 2.97, 4.73), 35-49 years (AOR = 14; 95% CI: 10.85, 18.06), women education; Primary education (AOR = 0.73; 95% CI: 0.61, 0.88), secondary and higher (AOR = 0.29; 95% CI: 0.19, 0.43), from the community level variables Oromia National Regional state (AOR = 5.86; 95% CI: 2.82, 12.23), high proportion of community level poverity (AOR = 0.67; 95% CI: 0.45, 0.98), and high proportion of community level media exposure (AOR = 1.53; 95% CI: 1.07, 2.19) were statistically significant factors for desire to limit childbearing in high fertility regions of Ethiopia.

CONCLUSION

Nearly four in ten women had the desire to limit childbearing in high fertility regions in Ethiopia. Thus, to fulfill the women's desire to limit childbearing, Ministry of Health and health facilities are needed to increase financial support strategies and Family planning programs that enable pregnant women from poor households to use health services. In addition, increasing community level media exposure are important interventions.

Multilevel analysis of early resumption of sexual intercourse among postpartum women in sub-Saharan Africa: evidence from Demographic and Health Survey Data

BACKGROUND

Resuming sexual activity early after childbirth can cause reproductive health problems such as unwanted pregnancy, unsafe abortion, and short birth intervals, especially if contraception is not used. However, it is uncommon for healthcare providers to discuss postpartum sexual practices during prenatal and postnatal care. Therefore, this study aimed to assess early resumption of sexual intercourse and associated factors among postpartum women in sub-Saharan Africa.

METHODS

Secondary data analysis from the most recent Demographic and Health Surveys data from the period of 2014 to 2019/2020 of 23 countries in sub-Saharan Africa were used. A total weighted sample of 118,371 women who gave birth in the three years before the surveys were used. We analyzed the data using Stata version 14. A multilevel mixed-effect logistic regression model was fitted to identify factors associated with early resumption of sexual intercourse. Variables with a p-value < 0.05 in the multilevel mixed-effect logistic regression model were declared significant factors associated with the outcome variables.

RESULTS

The magnitude of early resumption of sexual intercourse among postpartum women was 67.97% (95% CI: 67.60, 68.34). Urban resident (AOR = 1.91; 95% CI: 1.83, 2.06), women with primary education 1.11 (AOR = 1.11; 95% CI: 1.07 to 1.31) and secondary education and above level 1.17 (AOR = 1.17; 95% CI: 1.09 to 1.29), husbands with primary education 1.32 (AOR = 1.32; 95% CI: 1.27, 1.38) and secondary education and above level 1.15 (AOR = 1.15; 95% CI: 1.11 to 1.25), family planning use (AOR = 95%; CI: 1.77, 1.91), fertility intention wanted then 1.24 (AOR = 1.24; 95%; CI: 1.19, 1.32) and wanted later 1.27 (AOR = 1.27; 95%; CI: 1.22, 1.46), religion (AOR = 2.08; 95%CI: 1.97, 2.17), and place of delivery (AOR = 1.51; 95%CI = 1.36, 1.65) were significantly associated with early resumption of sexual intercourse.

CONCLUSION

The study revealed that more than two-thirds of the women had resumed sexual intercourse early after childbirth. Hence, the concerned bodies should strengthen the integration of postpartum education on sexual resumption with maternal, neonatal, and child health care services to reduce the early resumption of sexual intercourse. In addition, healthcare providers providing counseling on the resumption of postpartum sexual intercourse should focus on these factors to ensure a more effective outcome.

Determinants of full immunization coverage among children 12-23 months of age from deviant mothers/caregivers in Ethiopia: A multilevel analysis using 2016 demographic and health survey

Background

Despite remarkable improvements in child health services utilization, childhood immunization has been poorly implemented in Ethiopia. However, evidence on the coverage of immunization among children from mothers/caregivers with no education (non-educated mothers were the most identified risk for underutilization of services) are scarce. Therefore, this study aimed to assess the determinants of full immunization coverage among children 12-23 months of age from deviant mothers/caregivers in Ethiopia.

Methods

We analyzed data from the 2016 Ethiopia Demographic and Health Survey (EDHS) on a sample of 1,170 children 12-23 months of age identified from deviant mothers/caregivers (mothers/caregivers with no education) through a two-stage stratified sampling. A multilevel mixed-effect binary logistic regression analysis was used to identify the individual and community level determinants of full immunization coverage among children 12-23 months of age with their deviant mothers/caregivers. In the final model, a p-value of < 0.05 and adjusted odds ratio (AOR) with 95% confidence interval (CI) were used to select statistically significant determinants of full immunization coverage.

Results

The overall full immunization coverage among children 12-23 months of age identified from deviant mothers/caregivers was 27.4% (95%CI: 25.0, 31.0) in Ethiopia. Deviant mothers/caregivers who are employed (AOR = 1.69, 95%CI: 1.68, 2.45), being in the rich household wealth status (AOR = 2.54, 95%CI: 1.53, 4.22), residing in city (AOR = 5.69, 95%CI: 2.39, 13.61), having one to three (AOR: 3.28, 95% CI: 2.12-5.07) and four and more ANC follow-up during the recent pregnancy (AOR: 3.91, 95% CI: 2.45, 6.24) were the determinants that increased full immunization coverage among children 12-23 months of age.

Conclusions

Full immunization coverage among children 12-23 months of age from non-educated mothers/caregivers was low and far behind the national target of coverage. Therefore, a system-wide intervention should be used to enhance employability, wealth status, and key maternal health services like ANC follow-up among non-educated mothers/caregivers to increase their children's full immunization coverage.

Unmet need for family planning and associated factors among adolescent girls and young women in Ethiopia: a multilevel analysis of Ethiopian Demographic and Health Survey

BACKGROUND

Unmet need for family planning among adolescent girls and young women (AGYW) is a common cause of the low contraceptive utilization in developing countries, including Ethiopia. To address problems associated with unmet for family planning among adolescent girls and young women nationally available evidences are essential. However, there is limited evidence regarding factors associated with the unmet need for family planning among adolescent girls and young women in Ethiopia. Hence, this study aims to assess the prevalence and associated factors of unmet need for family planning among adolescent girls and young women in Ethiopia.

METHODS

Our analysis was based on secondary data using the 2016 Ethiopian Demographic and Health Survey data. A total weighted sample of 1086 adolescent girls and young women was included in this study. A multi-level mixed-effect logistic regression analysis was fitted. Adjusted odds ratios with 95% confidence intervals were used to show the strength and direction of the association. Statistical significance was declared at a p-value less than 0.05.

RESULTS

The prevalence of unmet need for family planning was 28.3% (95% CI: 25.7, 31.0). Adolescent girls and young women age 15-19 years (aOR: 2.4, 95%CI: 1.3, 4.3), household wealth quantile; poor (aOR: 5.6, 95%CI: 2.8, 11.1) and middle (aOR: 2.9, 95%CI: 1.4, 6.0), had no media exposure (aOR: 2.1, 95%CI: 1.1, 4.1), and adolescent girls and young women from developing regions (aOR: 5.1, 95%CI: 1.1, 14.5) were significantly associated with unmet need for family planning.

CONCLUSIONS

Unmet need for family planning was high among adolescent girls and young women when compared to the national average and the United Nations sphere standard of unmet need for family planning. Age, wealth quantile, media exposure, and region were significantly associated with unmet need for family planning. Hence, there is the need to implement consistently effective family planning policies among AGYW living in developing regions of Ethiopia. Moreover, Public health policies and interventions that improve the existing strategies to improve media exposure of AGYW on family planning issues and increase the wealth status of households should be designed and implemented to reduce the unmet need for family planning in Ethiopia.

Multilevel analysis of undernutrition and associated factors among adolescent girls and young women in Ethiopia

Background

The consequences of undernutrition have serious implication for the health and future reproductive periods of adolescent girls and young women aged 15–24 years. Inspite of this, they are neglected age groups and there is limited information about the nutritional status of this age group in Ethiopia. Therefore, estimating the extent and associated factors of undernutrition among adolescent girls and young women in a national context using multilevel analysis is essential.

Methods

Secondary data analysis was conducted from the Ethiopian Demographic and Health Survey 2016. A total sample weight of 5362 adolescent girls and young women was included in this study. A multilevel mixed-effect binary logistic regression model with cluster-level random effects was fitted to determine the associated factors of undernutrition among adolescent girls and young women in Ethiopia. Finally, the odds ratios along with the 95% confidence interval was generated to determine the individual and community level factors of undernutrition. A p-value less than 0.05 was declared as the level of statistical significance.

Results

Overall, 25.6% (95%CI: 24.5–26.9) of adolescent girls and young women were undernourished. Statistically significant individual level factors includes adolescent girls and young women aged 15–19 years (AOR: 1.53, 95%CI: 1.32–1.77), individual media exposure (AOR: 0.82, 95%CI: 0.69–0.97), and unprotected drinking water source (AOR: 1.24, 95%CI: 1.04–1.48). Whereas, Southern Nations, Nationalities, and Peoples' Region (AOR: 0.33, 95%CI: 0.13–0.83) and rural residence (AOR: 1.69, 95%CI: 1.24–2.32), were community level factors for adolescent girls and young women undernutrition.

Conclusion

One quarter of the Ethiopian adolescent girls and young women were undernourished. Therefore, the Ethiopian government should better engage this age group in different aspects of the food system. To improve nutritional status, public health interventions such as increased media exposure for rural residents and interventions that improve access to protected water sources will be critical.

Spatial distribution of vitamin A rich foods intake and associated factors among children aged 6-23 months in Ethiopia: spatial and multilevel analysis of 2019 Ethiopian mini demographic and health survey

Background

Inadequate micronutrients in the diet and vitamin A deficiency are worldwide public health problems. In developing regions, many preschool children are undernourished, become blind every year and died before the age of 23 months. This study was aimed to explore the spatial distribution of vitamin A rich foods intake among children aged 6–23 months and identify associated factors in Ethiopia.

Methods

Ethiopian Mini Demographic and Health Survey 2019 dataset with a total 1407 children aged 6–23 months was used. Data management and processing were done using STATA version 15 software and Microsoft Office Excel. ArcMap version 10.7 software was used for mapping and spatial visualization of the distribution. Spatial scan statistics was performed using SaTScan version 9.5 software for Bernoulli-based model. Multilevel mixed effect logistic regression model was employed to identify associated factors.

Results

Overall, 38.99% (95% CI: 36.46–41.62) of children aged 6– 23 months took vitamin A rich foods. Poor intake of vitamin A rich foods was significantly clustered Dire Dawa city, Somali and Harari regions of Ethiopia. Children aged 6–23 months lived in the primary cluster were 70% (RR = 1.70, P-value < 0.001) more likely to intake vitamin A rich foods than children lived outside the window. In the multilevel mixed effect logistic regression analysis, Primary educational status (AOR:1.42, 95% CI: 1.05, 1.93) and higher educational status (AOR:3.0, 95% CI: 1.59, 5.65) of mother, Dire Dawa (AOR:0.49, 95% CI: 0.22, 1.12) city, Afar (AOR: 0.16, 95% CI: 0.07, 0.36), Amhara (AOR: 0.37, 95% CI: 0.19, 0.71) and Somali (AOR: 0.02, 95% CI: 0.003, 0.08) regions of Ethiopia, children aged 13–23 months (AOR: 1.80, 95% CI: 1.28, 2.36), Mothers’ exposure to media (AOR: 1.41, 95% CI: 1.04, 1.92) were statistically significant factors for vitamin A rich foods intake among children aged 6–23 months.

Conclusions

Only 4 out of ten children took vitamin A rich foods which is too low compared to the national target and significantly clustered in Ethiopia. Mother’s educational status, Region, Child age and Mother’s media exposure are significant factors vitamin A rich foods intake. Stakeholders should strengthen mothers’ education status, creating awareness for mothers on child feeding and using locally available natural resource to produce vitamin A rich foods.

Assessing the potential determinants of national vitamin A supplementation among children aged 6-35 months in Ethiopia: further analysis of the 2019 Ethiopian Mini Demographic and Health Survey

Background

Vitamin A is a nutrient that is required in a small amount for normal visual system function, growth and development, epithelia’s cellular integrity, immune function, and reproduction. Vitamin A has a significant and clinically important effect since it has been associated with a reduction in all-cause and diarrhea mortality. The aim of this study was to determine factors associated with national vitamin A supplementation among children aged 6–35 months.

Method

The data for this study was extracted from the 2019 Ethiopian Mini Demographic and Health Survey. A total weighted sample of 2242 women with children aged 6–35 months was included in the study. The analysis was performed using Stata version 14.2 software. Applying sampling weight for descriptive statistics and complex sample design for inferential statistics, a manual backward stepwise elimination approach was applied. Finally, statistical significance declared at the level of p value < 0.05.

Result

The overall coverage of vitamin A supplementation among children aged 6–35 months for the survey included was 44.4 95% CI (40.15, 48.74). In the multivariable analysis, mothers who had four or more antenatal visits [AOR = 2.02 (95% CI: 1.34, 3.04)] were two times more likely to receive vitamin A capsules for their children than mothers who had no antenatal visits. Children from middle-wealth quintiles had higher odds of receiving vitamin A capsules in comparison to children from the poorest wealth quintile [AOR = 1.77 (95% CI: 1.14, 2.73)]. Older children had higher odds of receiving vitamin A capsules than the youngest ones. Other factors that were associated with vitamin A supplementation were mode of delivery and region.

Conclusion

The coverage of vitamin A supplementation in Ethiopia remains low and it is strongly associated with antenatal visit, household wealth index and age of child. Expanding maternal health services like antenatal care visits should be prioritized.