Exploring spatial variations and factors associated with childhood stunting in Ethiopia: spatial and multilevel analysis

Development of a diagnostic predictive model for determining child stunting in Malawi: a comparative analysis of variable selection approaches

BACKGROUND

Childhood stunting is a major indicator of child malnutrition and a focus area of Global Nutrition Targets for 2025 and Sustainable Development Goals. Risk factors for childhood stunting are well studied and well known and could be used in a risk prediction model for assessing whether a child is stunted or not. However, the selection of child stunting predictor variables is a critical step in the development and performance of any such prediction model. This paper compares the performance of child stunting diagnostic predictive models based on predictor variables selected using a set of variable selection methods.

METHODS

Firstly, we conducted a subjective review of the literature to identify determinants of child stunting in Sub-Saharan Africa. Secondly, a multivariate logistic regression model of child stunting was fitted using the identified predictors on stunting data among children aged 0-59 months in the Malawi Demographic Health Survey (MDHS 2015-16) data. Thirdly, several reduced multivariable logistic regression models were fitted depending on the predictor variables selected using seven variable selection algorithms, namely backward, forward, stepwise, random forest, Least Absolute Shrinkage and Selection Operator (LASSO), and judgmental. Lastly, for each reduced model, a diagnostic predictive model for the childhood stunting risk score, defined as the child propensity score based on derived coefficients, was calculated for each child. The prediction risk models were assessed using discrimination measures, including area under-receiver operator curve (AUROC), sensitivity and specificity.

RESULTS

The review identified 68 predictor variables of child stunting, of which 27 were available in the MDHS 2016-16 data. The common risk factors selected by all the variable selection models include household wealth index, age of the child, household size, type of birth (singleton/multiple births), and birth weight. The best cut-off point on the child stunting risk prediction model was 0.37 based on risk factors determined by the judgmental variable selection method. The model's accuracy was estimated with an AUROC value of 64% (95% CI: 60%-67%) in the test data. For children residing in urban areas, the corresponding AUROC was AUC = 67% (95% CI: 58-76%), as opposed to those in rural areas, AUC = 63% (95% CI: 59-67%).

CONCLUSION

The derived child stunting diagnostic prediction model could be useful as a first screening tool to identify children more likely to be stunted. The identified children could then receive necessary nutritional interventions.

Epidemiology of stunting in children aged 6-59 months, an unresolved chronic nutritional problem in Ethiopia: A systematic review and meta-analysis

Background

In developing countries as well as Ethiopia, stunting continues to be a major public health burden. Thus, the aim of this systematic review and meta-analysis is to synthesize the updated pooled prevalence and its determinants of stunting in Ethiopia.

Methods

This systematic review and meta-analysis follow the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The protocol has been registered with the International Prospective Register of Systematic Reviews, University of York Center for Reviews, and disseminated at https://www.crd.york.ac.uk/, with the registration number (CRD42024542984). A wide-ranging literature search was carried out using PubMed/Medline, Science Direct, Hinari, AJOL, and Google Scholar. All lists of qualified study references from 2013 to 2023 were recovered. The pooled estimate with a 95% CI was calculated using a random-effects model in STATA version 13 software. I 2 and meta-bias statistics were used to assess the heterogeneity of the incorporated studies.

Results

This study included 29 articles with a total of 23,511 participants from 29 qualified studies. The current study found that the pooled prevalence of stunting among children aged 6-59 months was 43% (95% CI: 42-44). Children who were not exclusively breastfed (OR = 2.39; 95% CI: 1.61-3.54), male children (OR = 1.61; 95% CI: 1.13-2.31), children whose mothers had no antenatal care follow-up (OR = 3.03; 95% CI: 1.36-6.76), and women who had no formal education (OR = 4.55; 95% CI: 2.29-9.05) were significantly associated with stunting.

Conclusions

In Ethiopia, nearly half of the children suffer from stunting, with those who are not breastfed, the sex of the child, children whose mothers had no antenatal care follow-up, and had no formal education having higher odds of stunting. To reduce the burden, strategies must be designed to intervene and improve maternal health literacy, focusing on children's nutrition and health-care utilization.

Determinants of aggregate anthropometric failure among children under-five years in Ethiopia: Application of multilevel mixed-effects negative binomial regression modeling

Undernutrition significantly contributes to failure to thrive in children under five, with those experiencing multiple forms of malnutrition facing the highest risks of morbidity and mortality. Conventional markers such as stunting, wasting, and underweight have received much attention but are insufficient to identify multiple types of malnutrition, prompting the development of the Composite Index of Anthropometric Failure (CIAF) and the Composite Index of Severe Anthropometric Failure (CISAF) as an aggregate indicators. This study aimed to identify factors associated with CIAF and CISAF among Ethiopian children aged 0-59 months using data from the 2019 Ethiopia Mini Demographic and Health Survey. The study included a weighted sample of 5,259 children and used multilevel mixed-effects negative binomial regression modeling to identify determinants of CIAF and CISAF. The result showed higher incidence-rate ratio (IRR) of CIAF in male children (adjusted IRR = 1.27; 95% CI = 1.13-1.42), children aged 12-24 months (aIRR = 2.01, 95%CI: 1.63-2.48), and 24-59 months (aIRR = 2.36, 95%CI: 1.91-2.92), those from households with multiple under-five children (aIRR = 1.16, 95%CI: 1.01-1.33), poorer households (aIRR = 1.48; 95%CI: 1.02-2.15), and those who lived in houses with an earthen floor (aIRR = 1.37, 95%CI: 1.03-1.82). Similarly, the factors positively associated with CISAF among children aged 0-59 months were male children (aIRR = 1.47, 95% CI = 1.21-1.79), age group 6-11 months (aIRR = 2.30, 95%CI: 1.40-3.78), age group 12-24 months (aIRR = 3.76, 95%CI: 2.40-5.88), age group 25-59 months (aIRR = 4.23, 95%CI: 2.79-6.39), children from households living with two and more under-five children (aIRR = 1.27, 95%CI:1.01-1.59), and children from poorer households (aIRR = 1.93, 95% CI = 1.02-3.67). Children were more likely to suffer from multiple anthropometric failures if they were: aged 6-23 months, aged 24-59 months, male sex, living in households with multiple under-five children, and living in households with poor environments. These findings underscore the need to employ a wide range of strategies to effectively intervene in multiple anthropometric failures in under-five children.

Geographical variation in hotspots of stunting among under-five children in Ethiopia: A geographically weighted regression and multilevel robust Poisson regression analysis

INTRODUCTION

Childhood stunting is a global public health concern, associated with both short and long-term consequences, including high child morbidity and mortality, poor development and learning capacity, increased vulnerability for infectious and non-infectious disease. The prevalence of stunting varies significantly throughout Ethiopian regions. Therefore, this study aimed to assess the geographical variation in predictors of stunting among children under the age of five in Ethiopia using 2019 Ethiopian Demographic and Health Survey.

METHOD

The current analysis was based on data from the 2019 mini Ethiopian Demographic and Health Survey (EDHS). A total of 5,490 children under the age of five were included in the weighted sample. Descriptive and inferential analysis was done using STATA 17. For the spatial analysis, ArcGIS 10.7 were used. Spatial regression was used to identify the variables associated with stunting hotspots, and adjusted R2 and Corrected Akaike Information Criteria (AICc) were used to compare the models. As the prevalence of stunting was over 10%, a multilevel robust Poisson regression was conducted. In the bivariable analysis, variables having a p-value < 0.2 were considered for the multivariable analysis. In the multivariable multilevel robust Poisson regression analysis, the adjusted prevalence ratio with the 95% confidence interval is presented to show the statistical significance and strength of the association.

RESULT

The prevalence of stunting was 33.58% (95%CI: 32.34%, 34.84%) with a clustered geographic pattern (Moran's I = 0.40, p<0.001). significant hotspot areas of stunting were identified in the west and south Afar, Tigray, Amhara and east SNNPR regions. In the local model, no maternal education, poverty, child age 6-23 months and male headed household were predictors associated with spatial variation of stunting among under five children in Ethiopia. In the multivariable multilevel robust Poisson regression the prevalence of stunting among children whose mother's age is >40 (APR = 0.74, 95%CI: 0.55, 0.99). Children whose mother had secondary (APR = 0.74, 95%CI: 0.60, 0.91) and higher (APR = 0.61, 95%CI: 0.44, 0.84) educational status, household wealth status (APR = 0.87, 95%CI: 0.76, 0.99), child aged 6-23 months (APR = 1.87, 95%CI: 1.53, 2.28) were all significantly associated with stunting.

CONCLUSION

In Ethiopia, under-five children suffering from stunting have been found to exhibit a spatially clustered pattern. Maternal education, wealth index, birth interval and child age were determining factors of spatial variation of stunting. As a result, a detailed map of stunting hotspots and determinants among children under the age of five aid program planners and decision-makers in designing targeted public health measures.

Anthropometric failures and its predictors among under five children in Ethiopia: multilevel logistic regression model using 2019 Ethiopian demographic and health survey data

BACKGROUND

Composite Index of Anthropometric Failure (CIAF) combines all three forms of anthropometric failures to assess undernutrition status of children. There is no study on CIAF to identify the real and severe form of under nutrition among Ethiopian children that addressed community level factors. So, this study determined CIAF and identified important factors which helps to design appropriate intervention strategies by using multi-level advanced statistical model.

METHODS

The study included 5,530 under five children and utilized a secondary data (EMDHS 2019) which was collected through community-based and cross-sectionally from March 21 to June 28, 2019. Composite index of anthropometric failure among under five children was assessed and a two-stage sampling technique was used to select the study participants. Descriptive summary statistics was computed. A multi-level binary logistic regression model was employed to identify important predictors of CIAF in under five children. Adjusted odds ratio with its 95% CI was estimated and level of significance 0.05 was used to determine significant predictors of CIAF.

RESULTS

The prevalence of composite index of anthropometric failure (CIAF) was 40.69% (95% CI: 39.41, 42.00) in Ethiopia. Both individual and community level predictors were identified for CIAF in under five children. Among individual level predictors being male sex, older age, short birth interval, from mothers who have not formal education, and from poor household wealth quintile were associated with higher odds of CIAF among under five children. Low community women literacy and being from agriculturally based regions were the community level predictors that were associated with higher odds of CIAF in under five children in Ethiopia.

CONCLUSIONS

The burden of composite index of anthropometric failure in under five children was high in Ethiopia. Age of child, sex of child, preceding birth interval, mother's education, household wealth index, community women literacy and administrative regions of Ethiopia were identified as significant predictors of CIAF. Therefore, emphasis should be given for those factors to decrease the prevalence of CIAF in under five children in Ethiopia.

Childhood stunting is highly clustered in Northern Province of Rwanda: A spatial analysis of a population-based study

Background

In Northern Province, Rwanda, stunting is common among children aged under 5 years. However, previous studies on spatial analysis of childhood stunting in Rwanda did not assess its randomness and clustering, and none were conducted in Northern Province. We conducted a spatial-pattern analysis of childhood undernutrition to identify stunting clusters and hotspots for targeted interventions in Northern Province.

Methods

Using a household population-based questionnaire survey of the characteristics and causes of undernutrition in households with biological mothers of children aged 1-36 months, we collected anthropometric measurements of the children and their mothers and captured the coordinates of the households. Descriptive statistics were computed for the sociodemographic characteristics and anthropometric measurements. Spatial patterns of childhood stunting were determined using global and local Moran's I and Getis-Ord Gi* statistics, and the corresponding maps were produced.

Results

The z-scores of the three anthropometric measurements were normally distributed, but the z-scores of height-for-age were generally lower than those of weight-for-age and weight-for-height, prompting us to focus on height-for-age for the spatial analysis. The estimated incidence of stunting among 601 children aged 1-36 months was 27.1 %. The sample points were interpolated to the administrative level of the sector. The global Moran's I was positive and significant (Moran's I = 0.403, p < 0.001, z-score = 7.813), indicating clustering of childhood stunting across different sectors of Northern Province. The local Moran's I and hotspot analysis based on the Getis-Ord Gi* statistic showed statistically significant hotspots, which were strongest within Musanze district, followed by Gakenke and Gicumbi districts.

Conclusion

Childhood stunting in Northern Province showed statistically significant hotspots in Musanze, Gakenke, and Gicumbi districts. Factors associated with such clusters and hotspots should be assessed to identify possible geographically targeted interventions.

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

INTRODUCTION

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.

MATERIALS AND METHODS

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.

RESULTS

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.

CONCLUSION

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.

Bayesian multilevel modelling of the association between socio-economic status and stunting among under-five-year children in Tanzania

BACKGROUND

Stunting is associated with socioeconomic status (SES) which is multidimensional. This study aimed to compare different SES indices in predicting stunting.

METHODS

This was the secondary data analysis using Tanzania Demographics and Health Surveys (TDHS). The study used 7492, 6668, and 8790 under-five-year children from TDHS 2004/5, 2010, and 2015/16, respectively. The Household Wealth Index (HWI); Water and Sanitation, Assets, Maternal education and Income (WAMI); Wealth Assets, Education, and Occupation (WEO); and the Multidimensional Poverty Index (MPI) indices were compared. The summated scores, principal component analysis (PCA), and random forest (RF) approaches were used to construct indices. The Bayesian and maximum likelihood multilevel generalized linear mixed models (MGLMM) were constructed to determine the association between each SES index and stunting.

RESULTS

The study revealed that 42.3%, 38.4%, and 32.4% of the studied under-five-year children were stunted in 2004/5, 2010, and 2015/16, respectively. Compared to other indicators of SES, the MPI had a better prediction of stunting for the TDHS 2004/5 and 2015/16, while the WAMI had a better prediction in 2010. For each score increase in WAMI, the odds of stunting were 64% [BPOR = 0.36; 95% CCI 0.3, 0.4] lower in 2010, while for each score increase in MPI there was 1 [BPOR = 1.1; 95% CCI 1.1, 1.2] times higher odds of stunting in 2015/16.

CONCLUSION

The MPI and WAMI under PCA were the best measures of SES that predict stunting. Because MPI was the best predictor of stunting for two surveys (TDHS 2004/5 and 2015/16), studies dealing with stunting should use MPI as a proxy measure of SES. Use of BE-MGLMM in modelling stunting is encouraged. Strengthened availability of items forming MPI is inevitable for child growth potentials. Further studies should investigate the determinants of stunting using Bayesian spatial models to take into account spatial heterogeneity.

Gender-specific disaggregated analysis of childhood undernutrition in Ethiopia: evidence from 2000-2016 nationwide survey

INTRODUCTION

Childhood undernutrition has been investigated extensively in previous literature but gender inequality detailing the burden of undernutrition has not been adequately addressed in scientific papers, especially in Ethiopia, where undernutrition is known to be a public health problem of high significance, necessitating increased efforts to address it and reduce this inequality. This study was carried out to: (1) explore gender differences in the prevalence of stunting, wasting, and underweight, and (2) compare the factors associated with childhood undernutrition between boys and girls in Ethiopia.

METHODS

The study used a dataset of more than 33,564 children aged under 5 years (boys: 17,078 and girls: 16,486) who were included in the nationally representative Ethiopia Demographic and Health Survey (EDHS) from 2000 to 2016. The outcome variables were anthropometric indices: stunting (height-for-age < -2 standard deviations), wasting (weight-for-height < -2 standard deviations), and underweight (weight-for-age < -2 standard deviations). Gender-specific multilevel analyses were used to examine and compare the factors associated with child undernutrition.

RESULTS

The overall prevalence of stunting (49.1% for boys vs 45.3% for girls, p < 0.001), wasting (11.9% for boys vs 9.9% for girls, p < 0.001), and underweight (33.1% for boys vs 29.8% for girls, p < 0.001) higher among boys compared to girls. Boys significantly had higher odds of stunting (aOR: 1.31, 95%CI: 1.21-1.42), wasting (aOR: 1.35, 1.23-1.48), and underweight (aOR: 1.38, 95%CI: 1.26-1.50) than girls. The common factors associated with childhood undernutrition for male and female children were the child's age, perceived size of the child at birth, breastfeeding status, maternal stature, maternal education, toilet facility, wealth index, and place of residence. Boys who were perceived by their mothers to be average sized at birth and were born to uneducated mothers had a higher likelihood of experiencing wasting, in contrast to girls. Among boys, birth order (firstborn), household size (1-4), and place of residence (urban) were associated with lower odds of being underweight. Boys living in cities had lower odds of being stunted. While girls born to mothers with no education and worked in agriculture were at a higher odd of being stunted.

CONCLUSION

Our study revealed that boys were more likely to be malnourished than girls, regardless of their age category, and there were variations in the factors determining undernutrition among boys and girls. The differences in the burden of undernutrition were significant and alarming, positioning Ethiopia to be questioned whether it will meet the set Sustainable Development Goals (SDGs), including SDG 2 of zero hunger by 2030. These findings call for more effort to address malnutrition as a significant public health issue in Ethiopia, and to urgently recognise the need for enhanced interventions that address the gender gap in childhood undernutrition.

Machine Learning Algorithms for Predicting Stunting among Under-Five Children in Papua New Guinea

Preventing stunting is particularly important for healthy development across the life course. In Papua New Guinea (PNG), the prevalence of stunting in children under five years old has consistently not improved. Therefore, the primary objective of this study was to employ multiple machine learning algorithms to identify the most effective model and key predictors for stunting prediction in children in PNG. The study used data from the 2016-2018 Papua New Guinea Demographic Health Survey, including from 3380 children with complete height-for-age data. The least absolute shrinkage and selection operator (LASSO) and random-forest-recursive feature elimination were used for feature selection. Logistic regression, a conditional decision tree, a support vector machine with a radial basis function kernel, and an extreme gradient boosting machine (XGBoost) were employed to construct the prediction model. The performance of the final model was evaluated using accuracy, precision, recall, F1 score, and area under the curve (AUC). The results of the study showed that LASSO-XGBoost has the best performance for predicting stunting in PNG (AUC: 0.765; 95% CI: 0.714-0.819) with accuracy, precision, recall, and F1 scores of 0.728, 0.715, 0.628, and 0.669, respectively. Combined with the SHAP value method, the optimal prediction model identified living in the Highlands Region, the age of the child, being in the richest family, and having a larger or smaller birth size as the top five important characteristics for predicting stunting. Based on the model, the findings support the necessity of preventing stunting early in life. Emphasizing the nutritional status of vulnerable maternal and child populations in PNG is recommended to promote maternal and child health and overall well-being.

Effects of the level of household access to water, sanitation and hygiene on the nutritional status of children under five, Benin

BACKGROUND

Whether or not the Water, Sanitation and Hygiene (WASH) conditions in which children under five live determine their nutritional status is still under discussion. The work aimed to study the effects of household WASH conditions to which children under five are exposed on their nutritional status in Benin.

METHODS

The study utilized a cross-sectional design and consisted of secondary analyses using datasets from the fifth Demographic and Health Survey (DHS-V) conducted in Benin. Stunting, wasting and underweight were the dependent variables. The WASH conditions in which children live were evaluated in the immediate environment, i.e., at the level of their households. After describing the study variables, the relationships between the dependent variables and the exposures were checked using multivariate logistic regression. Data analysis was performed with Stata 15 and took into account the survey's sampling design.

RESULTS

The prevalence of stunting, wasting and underweight was 31.15% (95% CI = 29.90-32.42), 4.79% (95% CI = 4.33-5.31) and 15.82% (95% CI = 14.92-16.76), respectively. The stunting odds were 1.35 (95% CI = 1.15-1.59) and 1.27 (95% CI = 1.01-1.59) times higher for children from households with no water and sanitation services, respectively, compared to children living in households with basic water and sanitation services. Children under five from households with no hygiene facilities and using limited hygiene services had 1.31 (95% CI = 1.05-1.63) and 1.35 (95% CI = 1.10-1.67) times the odds of being stunted, respectively, compared to children covered by basic hygiene facilities. There is no evidence of a significant relationship between household access to WASH and wasting in children under five. The odds of being underweight were 1.33 (95% CI = 1.02-1.72) times higher among children under five from households with limited hygiene facilities than among children from households with basic hygiene facilities.

CONCLUSION

Interventions to fight malnutrition in children under five should include a WASH dimension.

Contribution of home garden vegetables on reducing stunting among 6- to 23-month-old children in South Tigray, northern Ethiopia

The study was conducted to analyze the contribution of home garden vegetables in reducing stunting among 6- to 23-month-old children from South Tigray, Northern Ethiopia. The quasi-experimental study design was used. Multistage sampling technique was used to select the districts and study communities. A total of 94 purposively selected vegetable producer (intervention) households and 260 randomly selected non-producer (control) households were included in the study (1:3 ratio). The recumbent length of children was measured using horizontal wooden board to the nearest 0.1 cm. The length-for-age Z-scores were computed using WHO-Anthro 2006 software. Propensity score-matching and difference-in-difference (DID) estimates were used to analyze data using STATA software version 12. Prevalence of child stunting was 19.8 (12.7-29.4) and 21.1 (16.4-26.7)% (baseline) and 43.5 (33.5-54.1) and 46.5 (45.7-47.2)% (end line) among intervention and control groups, respectively. Child stunting was higher for boys and older children from both intervention and control households. DID estimation revealed that there was no significant difference in child stunting between intervention and control households (DID = 1.7, p = .604). However, there was an intervention effect of -0.5, 2.5, and 1.7% in the prevalence of child stunting among females, males, and both sexes, respectively. Vegetable production as an intervention strategy reduced the prevalence of stunting in children aged 6-23 months. However, vegetable production needs to be well integrated with other nutrition-sensitive interventions to realize the objective of reducing child stunting.

Multilevel multivariate modeling on the association between undernutrition indices of under-five children in East Africa countries: evidence from recent demographic health survey (DHS) data

BACKGROUND

Malnutrition is the main cause of illness and death in children under the age of five. It affects millions of children worldwide, putting their health and future in jeopardy. Therefore, this study aimed to identify and estimate the effects of important determinants of anthropometric indicators by taking into account their association and cluster effects.

METHOD

The study was carried out in 10 countries in East Africa: Burundi, Ethiopia, Comoros, Uganda, Rwanda, Tanzania, Zimbabwe, Kenya, Zambia, and Malawi. A weighted total sample of 53,322 children under the age of five was included. Given the impact of other predictors such as maternal, child, and socioeconomic variables, a multilevel multivariate binary logistic regression model was employed to analyze the relationship between stunting, wasting, and underweight.

RESULT

The study included 53,322 children, and 34.7%, 14.8%, and 5.1% were stunted, underweight, and wasted, respectively. Almost half of the children (49.8%) were female, and 22.0% lived in urban areas. The estimated odds of children from secondary and higher education mothers being stunted and wasted were 0.987; 95% CI: 0.979 - 0.994 and 0.999; 95% CI: 0.995 - 0.999, respectively, times the estimated odds of children from no education mothers. Children from middle-class families were less likely to be underweight than children from poorer families.

CONCLUSION

The prevalence of stunting was higher than in the sub-Saharan Africa region, but the prevalence of wasting and underweight was lower. According to the study's findings, undernourishment among young children under the age of five continues to be a significant public health issue in the East African region. Governmental and non-governmental organizations should therefore plan public health participation focusing on paternal education and the poorest households in order to improve the undernutrition status of children under five. Additionally, improving the delivery of healthcare at health facilities, places of residence, children's health education, and drinking water sources are essential for lowering child undernutrition indicators.

Spatial distribution and determinants of stunting, wasting and underweight in children under-five in Ethiopia

BACKGROUND

The burden of malnutrition in children under five remains an important child health issue where significant regional variations are observed in Ethiopia. The main aim of the current study was to explore the spatial distribution of stunting, wasting, and underweight in children under five in Ethiopia.

METHODS

The secondary data from EDHS, 2016, was employed, and a total of 7960 under-five children were included in the analysis. The general spatial analysis was performed to explore the spatial distribution of malnutrition among under-five within and between the regions of Ethiopia. The Spatial Lag and Spatial Error models were used to examine the spatial dependence between stunting, wasting, and being underweight. The Geographically weighted regression analysis was performed to estimate the types and strength of relationships between malnutrition and associated determinant factors across the regions and within the clusters or Zones of each region.

RESULTS

Among the under-five children included in the study, 36.6% were stunted, 12.2% were wasted and 25.2% were underweight. The Global Moran Index's value indicates (Stunting, I = 0.3135, p-value < 0.00001, Wasting, I = 0.1948, p-value < 0.0001 and Underweight, I = 0.5291, p-value < 0.0001) that there was a significant spatial variation of malnutrition across the regions and Zones of Ethiopia. The significant source of spatial variation of malnutrition in children under five was associated with the mother's education level, drinking water facility, toilet facilities, number of children under-five in the household, household's wealth index, breastfeeding duration of the child, child size at birth, Body Mass Index of Mothers (BMI), region, and place of residence.

CONCLUSIONS

The spatial association and spatial patterns of stunting, wasting, and being underweight were clustered within and between the regions of Ethiopia. The hotspot areas of stunting, wasting, and being underweight were detected in the regions where there were poor health facilities and limited socioeconomic indicators.

Concurrent wasting and stunting among under-five children in the context of Ethiopia: A generalised mixed-effects modelling

Concurrent wasting and stunting (WaSt) is a condition where both wasting and stunting exist in a child at the same time. This study aimed to assess the prevalence of WaSt and to identify potential associated factors in Ethiopia.  A total of 33,650 children aged between 0 and 59 months were included in the analysis from the four waves of the Ethiopian Demographic and Health Survey. A mixed-effects logistic regression model was used to identify the determinants of WaSt. The prevalence of WaSt was found to be 4.7% (95% confidence interval [CI]: (4.5-4.9)), with respectively 2.5% (95% CI: 2.1-3.1) and 4.9% (95% CI: 4.7-5.2) among children in urban and rural settings. Children: (i) in the age group 12-23 months (adjusted odds ratio [AOR]: 4.16, 95% CI: (3.20-5.42)) and 24-59 months (AOR: 3.08, 95% CI: (2.28-4.17)); (ii) who were perceived by their mothers to be smaller than normal at birth (AOR: 1.98, 95% CI: (1.57-2.50)); (iii) had diarrhoea (AOR: 1.38, 95% CI: (1.11-1.71)); and (iv) fever in the past 2 weeks (AOR: 1.38, 95% CI: (1.10-1.71)) reported higher odds of WaSt. Being a female child (AOR: 0.57, 95% CI: (0.48-0.69)), having received measles vaccination (AOR: 0.71, 95% CI: (0.55-0.89)), having a mother with a normal body mass index (18.5-24.9 kg/m² ) (AOR: 0.57, 95% CI: (0.48-0.68)), having a wealthier household (AOR: 0.67, 95% CI: (0.50-0.90)), and living in rural setting (AOR: 0.49, 95% CI: (0.32-0.74)) were associated with reduced odds of WaSt. The prevalence of WaSt was high, with approximately 1 in 20 Ethiopian children suffering from the condition and needing a prompt response to minimize the poor health and developmental outcomes. Children perceived by their mother to be smaller than normal at birth, older children, and babies with diarrhoea and fever had higher odds of WaSt.

Epidemiological profile of malnutrition status and spatial distribution of children and adolescents living with HIV/AIDS in Tanzania

OBJECTIVES

To determine the prevalence of malnutrition status, analyse the association between malnutrition status and individual-level factors, and explore the spatial variation among children and adolescents living with HIV/AIDS in Tanzania.

METHODS

The study is based on large-scale baseline routine data from the National AIDS Control Programme on people living with HIV from January 2016 to December 2021 in mainland Tanzania. 70,102 children and adolescents aged 5-19 years receiving active antiretroviral therapy were included in the analysis. Nutritional status of participants was assessed by anthropometric measurement. Pearson's Chi-square test was used to describe the association between individual-level factors with all malnutrition outcomes and spatial analysis was used to investigate spatial distribution of malnutrition. The excess risk of malnutrition for each region was calculated while Anselin Local Moran's I and Getis-Ord statistical tools were used to identify significant hot spots regions of malnutrition.

RESULTS

The mean age of participants was 11.1 (SD 4.7) years, with 71.7% in the 5-14-year age group and 58.4% being girls. 39.2% were attending care and treatment clinics services at hospital level with public ownership. 53.4% started using ARV at age 5-14 years and 55.5% had already switched to second- or third-line ARV with 61.1% using ARV for less than 3 years. 51.2% were in WHO HIV clinical stage III or IV. The prevalence of malnutrition was 36.0% for stunting, 28.9% for underweight, 13.0% for wasting, and 48.0% for anthropometric failure. Individual-level factors which accounted for a higher proportion of malnutrition based on anthropometric failure were male sex (56.3%), age 5-14 years (50.0%), being unmarried (52.9%), being on second- or third-line ARV treatment (51.4%), ART initiation at age 5-14 years (55.7%), ARV for more than 3 years (49.4%), and stage IV of WHO HIV clinical status (57.8%). There were regional hot spots (p < 0.05): the prevalence rate and excess risk of malnutrition for stunting and anthropometric failure were highest in the southern highlands regions, for underweight in the central regions, and for wasting in the northern regions.

CONCLUSIONS

Children and adolescents living with HIV/AIDS in Tanzania suffer from poor nutritional status. Malnutrition does not occur arbitrarily, and the regions identified as hot spots should be given priority for nutritional intervention. Effective nutritional interventions for children living with HIV/AIDS should incorporate multiple approaches by considering unique geographical factors.

Undernutrition among the children below five years of age in Uganda: a spatial analysis approach

BACKGROUND

Undernutrition is a health condition caused by a lack of enough food intake, not having enough of the right combination of food nutrients, or the body's failure to utilize the food eaten resulting in either, stunting, being underweight, or wasting. Globally, undernutrition affects more than 149 million under-five children, while in Uganda about 3 in every 10 children suffer from undernutrition. Undernutrition and its risk factors among under-five children in Uganda were unevenly distributed across the country and a study that focused on spatial distribution was prudent to examine the nature of the problem and salient factors associated with it. The current study addressed the issues of spatial heterogeneity of undernutrition and its determinants with the goal to identify hot spots and advise policymakers on the best actions to be taken to address the problem.

METHODS

Data were obtained from the 2016 Uganda Demographic and Health Survey. Prevalence rates and percentages of risk factors were combined with the Uganda district shape file to allow spatial analysis. Moran's I, Getis-Ord (GI*), and Geographically Weighted Regressions were respectively used to establish the local, global, and geographically weighted regressions across the country. Stata 15 and ArcGIS 10. 7 soft wares were used.

RESULTS

The results indicate that undernutrition in Uganda shows varies spatially across regions. Evidence of hot spots exists in the Karamoja and Arua regions, cold spot areas exist around the central part of the country while the greatest part of Western Uganda, Northern, and Eastern were not significant.

CONCLUSION

The study reveals that a variation in the distribution of undernutrition throughout the country. Significant spatial patterns associated with undernutrition as identified through the hotspot and cold spot analysis do exist in Uganda. Programs targeting to reduce the undernutrition of under-five children in Uganda should consider the spatial distribution of undernutrition and its determinants whereby priority should be given to hotspot areas. The spatial intensity of undernutrition and its determinants indicate that focus should be tailored to meet the local needs as opposed to a holistic national approach.

Impact of the Productive SafetyNet Program on the minimum acceptable diet in the rural community of South Gondar Zone, Northwest Ethiopia

Background

Even though numerous factors contribute to undernutrition, it can happen immediately due to poor intake and illness. A minimum acceptable diet is one of the proxy measures for adequate consumption, which is an impact indicator for the Productive SafetyNet Program (PSNP). As a result, this study aimed to assess the impact of PSNP on the minimum acceptable diet among rural infants in the South Gondar Zone, Northwest Ethiopia.

Methods

A community-based cross-sectional study design was employed in the selected woredas (districts) of South Gondar Zone, Northwest Ethiopia, from 1 December 2017 to 30 January 2017. A total of 442 participants' data were collected during this time period through interviews with their mothers or caregivers. A multistage sampling technique was employed to select study subjects and interviewees using a structured questionnaire. Stata version 16 (MP) was employed to carry out a statistical analysis. A binary logistic regression model was employed to identify significant variables. The statistical significance was declared at a p-value of more than 0.05.

Results

The highest proportion of adequate diet diversity scores (261 [59.05%]) was from households who graduated (not part of it) from PSNPs. In this study, the magnitude of adequate dietary diversity, meal frequency, and minimum acceptable diet was 79.86, 82.58, and 66.52%, respectively. Marital status (AOR = 3.98, 95% CI: 1.39, 11.40), child age (AOR = 2.82, 95% CI: 1.78, 4.47), the educational status of the father (AOR = 0.56, 95% CI: 0.35, 0.89), the wealth index (AOR = 0.27, 95% CI: 0.12, 0.64), and the place of delivery (AOR = 3.14, 95% CI: 1.47, 6.73) were significant predictors for minimum acceptable diet uptake by children.

Conclusion

In this study, two-thirds of the infants had/received a minimum acceptable diet. Furthermore, infants from households with Productive SafetyNet users had a low minimum acceptable diet. Marital status, the educational status of the father, child age, the wealth index, and the place of delivery were associated factors with having an adequate intake of minimum acceptable diet by the children. Therefore, efforts to address sociodemographic and child-related factors during routine care are crucial.

Vitamin A deficiency and associated risk factors in children aged 12-59 months living in poorest municipalities in the South Region of Brazil

OBJECTIVE

To estimate the prevalence of vitamin A deficiency (VAD) in children and associated risk factors.

DESIGN

Analysis of data from a cross-sectional multicentre study performed in the primary care units of the municipalities from January to June 2015. The children's legal guardians answered a socio-economic questionnaire, and the children's blood samples were obtained by venipuncture. Plasma retinol was determined by HPLC. Plasma retinol values of <0·70 μmol/l were considered VDA. Poisson multiple regression with robust variance was used. Values of P < 0·05 were considered significant. The data were analysed in the SPSS software, 21.0.

SETTING

Forty-eight poorest municipalities in the South Region of Brazil.

PARTICIPANTS

Children (n 1503) aged 12-59 months.

RESULTS

The prevalence of VAD in the sample was 1·9 % (95 % CI (0·5, 6·8)). The following risk factors were associated with the outcome in the final explanatory model: family received Bolsa Familia program benefits (PR = 3·19; 95 % CI (1·69, 6·02)), child was not being breastfed (PR = 5·22; 95 % CI (1·68, 16·18)) and stunting (PR = 4·75; 95 % CI (2·10, 10·73)).

CONCLUSIONS

VAD did not represent a public health problem for children living in socio-economically vulnerable municipalities in the South Region of Brazil, suggesting a new panorama of this nutritional deficiency even in regions of low socio-economic conditions in these three states. Thus, in view of the current nutritional transition scenario, it is necessary to continuously monitor and improve public policies related to vitamin A supplementation in the country.

Determinants of Child Stunting, Wasting, and Underweight: Evidence from 2017 to 2018 Pakistan Demographic and Health Survey

Child malnutrition persists in low-resource countries such as Pakistan, indicating an urgent need for interventions and policies aimed to address this critical population health issue. The World Health Organization Global Target 2025 includes the reduction of malnourishment in the form of stunting, wasting, and low weight. This study aims to examine the prevalence of factors associated with three measures of child malnutrition, i.e., stunting, wasting, and low weight in Pakistan. This study uses a secondary data analysis design based on data from Pakistan Demographic and Health Survey (2017-18) that used a two-stage cluster sampling approach. National level data covering urban and rural areas were used for this study consisting of 4,226 children less than 5 years of age. Univariate and multivariable analyses using logistic regression models were conducted. Over 23% of the children were underweight, 8.0% suffered wasting, and 37.7% were stunted. Children with small size at birth (<45.7 cm), those who were average in size (45.7 to 60 cm) at birth were less likely to be stunted (AOR, 0.4890) and underweight (AOR, 0.538). Children with large size at birth (>60 cm) were also less likely to be stunted (AOR, 0.288) and underweight (AOR, 0.538). Children who consumed fresh milk were less likely to be classified as wasted (AOR, 0.524) than those children who did not consume fresh milk. The children in high- and middle-economic status families were less likely to be stunted, underweight, or wasted. Children of mothers who had secondary and higher education were less likely to be stunted (AOR, 0.584) and were less likely to be underweight (AOR, 0.668) than illiterate mothers' children. Children of working mothers were less likely to be wasted compared to children of nonworking mothers (AOR, 0.287). Maternal BMI is also inversely associated with being underweight because overweight and obese mothers were less likely to have underweight children (AOR, 0.585). Our findings reflect a need to design targeted public health policies and community-based education that emphasize the mother's education on nutrition health and provide socioeconomic resources that enable mothers to provide dietary needs that prevent malnutrition.

Determinants of undernutrition among young children in Ethiopia

Ethiopia is one of the countries in sub-Saharan Africa with the highest burden of childhood undernutrition. Despite the high burden of this scourge, little is known about the magnitude and contributing determinants to anthropometric failure among children aged 0-23 months, a period regarded as the best window of opportunity for interventions against undernutrition. This study examined factors associated with undernutrition (stunting, wasting, and underweight) among Ethiopian children aged 0-23 months. This study used a total weighted sample of 2146 children aged 0-23 months from the 2019 Ethiopian Mini Demographic and Health Survey. The data were cleaned and weighted using STATA version 14.0. Height-for-age (HFA), weight-for-height (WFH), and weight-for-age (WFA) z-scores <  - 2 SD were calculated and classified as stunted, wasting, and underweight, respectively. Multilevel mixed-effects logistic regression models adjusted for cluster and survey weights were used. Adjusted odds ratio (AOR) and 95% confidence interval (CI) were estimated. Statistical significance was declared at p < 0.05. The overall weighted prevalence of stunting, wasting, and underweight respectively were 27.21% [95% CI (25.32-29.18)], 7.80% [95% CI (6.71-9.03)], and 16.44% [95% CI (14.90-18.09)] among children aged 0-23 months in Ethiopia. Female children were less likely to be associated with stunting [AOR: 0.68, 95% CI (0.54-0.86)], wasting [AOR: 0.70, 95% CI (0.51, 0.98)], and underweight [AOR: 0.64, 95% CI (0.49, 0.83)] than their male counterparts. Conversely, older children aged 12-17 months [AOR: 2.22, 95% CI (1.52, 3.23)] and 18-23 months [AOR: 4.16, 95% CI (2.75, 6.27)] were significantly at an increased odds of becoming stunted. Similarly, the likelihood of being underweight was higher in older age groups: 6-11 months [AOR: 1.74, 95% CI (1.15, 2.63)], 12-17 months [AOR: 2.13, 95% CI (1.40, 3.24)], and 18-23 months [AOR: 4.08, 95% CI (2.58, 6.44)] compared with the children younger than 6 months. Lower wealth quintile was one of the other significant determinants of stunting and underweight. The study's findings indicated that the most consistent significant risk factors for undernutrition among children aged 0-23 months are: male sex, older age groups and lower wealth quintile. These findings emphasize the importance of strengthening nutrition-specific and sensitive interventions that address the immediate and underlying drivers of childhood undernutrition in early life, as well as targeting low-income households with male children, in order for Ethiopia to meet the Sustainable Development Goals (SDGs) 1,2 and 3 by 2030.

Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis

Introduction

Undernutrition is a serious global health issue, and stunting is a key indicator of children's nutritional status which results from long-term deprivation of basic needs. Ethiopia, the largest and most populous country in Sub-Saharan Africa, has the greatest rate of stunting among children under the age of five, yet the problem is unevenly distributed across the country. Thus, we investigate spatial heterogeneity and explore spatial projection of stunting among under-five children. Further, spatial predictors of stunting were assessed using geospatial regression models.

Methods

The Ethiopia Demographic and Health Surveys (EDHS) data from 2011, 2016, and 2019 were examined using a geostatistical technique that took into account spatial autocorrelation. Ordinary kriging was used to interpolate stunting data, and Kulldorff spatial scan statistics were used to identify spatial clusters with high and low stunting prevalence. In spatial regression modeling, the ordinary least square (OLS) model was employed to investigate spatial predictors of stunting and to examine local spatial variations geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR) models were employed.

Results

Overall, stunting prevalence was decreased from 44.42% [95%, CI: 0.425–0.444] in 2011 to 36.77% [95%, CI: 0.349–0.375] in 2019. Across three waves of EDHS, clusters with a high prevalence of stunting in children under 5 years were consistently observed in northern Ethiopia stretching in Tigray, Amhara, Afar, and Benishangul-Gumuz. Another area of very high stunting incidence was observed in the Southern parts of Ethiopia and the Somali region of Ethiopia. Our spatial regression analysis revealed that the observed geographical variation of under-five stunting significantly correlated with poor sanitation, poor wealth index, inadequate diet, residency, and mothers' education.

Conclusions

In Ethiopia, substantial progress has been made in decreasing stunting among children under the age of 5 years; although disparities varied in some areas and districts between surveys, the pattern generally remained constant over time. These findings suggest a need for region and district-specific policies where priority should be given to children in areas where most likely to exhibit high-risk stunting.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41043-022-00309-7.

Association between water, sanitation and hygiene (WASH) and child undernutrition in Ethiopia: a hierarchical approach

BACKGROUND

Undernutrition is a significant public health challenge and one of the leading causes of child mortality in a wide range of developing countries, including Ethiopia. Poor access to water, sanitation, and hygiene (WASH) facilities commonly contributes to child growth failure. There is a paucity of information on the interrelationship between WASH and child undernutrition (stunting and wasting). This study aimed to assess the association between WASH and undernutrition among under-five-year-old children in Ethiopia.

METHODS

A secondary data analysis was undertaken based on the Ethiopian Demographic and Health Surveys (EDHS) conducted from 2000 to 2016. A total of 33,763 recent live births extracted from the EDHS reports were included in the current analysis. Multilevel logistic regression models were used to investigate the association between WASH and child undernutrition. Relevant factors from EDHS data were identified after extensive literature review.

RESULTS

The overall prevalences of stunting and wasting were 47.29% [95% CI: (46.75, 47.82%)] and 10.98% [95% CI: (10.65, 11.32%)], respectively. Children from households having unimproved toilet facilities [AOR: 1.20, 95% CI: (1.05,1.39)], practicing open defecation [AOR: 1.29, 95% CI: (1.11,1.51)], and living in households with dirt floors [AOR: 1.32, 95% CI: (1.12,1.57)] were associated with higher odds of being stunted. Children from households having unimproved drinking water sources were significantly less likely to be wasted [AOR: 0.85, 95% CI: (0.76,0.95)] and stunted [AOR: 0.91, 95% CI: (0.83, 0.99)]. We found no statistical differences between improved sanitation, safe disposal of a child's stool, or improved household flooring and child wasting.

CONCLUSION

The present study confirms that the quality of access to sanitation and housing conditions affects child linear growth indicators. Besides, household sources of drinking water did not predict the occurrence of either wasting or stunting. Further longitudinal and interventional studies are needed to determine whether individual and joint access to WASH facilities was strongly associated with child stunting and wasting.

Determinants of coexistence of stunting, wasting, and underweight among children under five years in the Gambia; evidence from 2019/20 Gambian demographic health survey: application of multivariate binary logistic regression model

Background

Malnutrition happens when there are insufficient amounts of nutrients and energy consumed improperly. Included are both undernutrition and overnutrition. This study is aimed to evaluate the relationship among undernutrition indicators of stunting, underweight, and wasting among those under 5 years given other predictors.

Methods

The data were obtained from the measure of DHS program. A total of 2399 under-five children were involved in this study. A multivariate binary logistic regression model is used to assess the association between stunting, wasting, and being underweight given the effect of other predictors.

Results

Of the 2399 under-five children considered in this study, 13.5, 18.7, and 5.9% of them suffered from stunting, underweight, and wasting, respectively. The majority of children (40.1%) were obtained from the Brikama local government area of Gambia; more than half of the children (52.9%) were male, and 63.3% of children lived in urban areas. The association between stunting and underweight, underweight and wasting, and stunting and wasting was measured by the odds ratio (OR) of 15.87, 46.34, and 1.75, respectively, given the other predictors. The estimated odds ratio for children who had an average birth size to become stunted, underweight, and wasted were 0.965, 0.885, and 0.989 times the estimated odds ratio of children who had a small birth size, respectively.

Conclusion

The prevalence of stunting and wasting for under-five children in Gambia was lower than the world prevalence, but the prevalence of being underweight was higher. Children who are underweight have a significant association with both stunting and wasting. The age of the child, the child’s anemia level, and the birth type of the child are the common important determinants of stunting and underweight. The small birth size of a child was highly associated with a higher risk of stunting, underweight, and wasting among under five-year-olds.

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.

Determinants of wasting among children aged 6-59 months in North-East Ethiopia: a community-based case-control study

OBJECTIVE

Childhood acute malnutrition, in the form of wasting defined by Weight-for-Height Z-Scores, is a major public health concern. It is one of the main reasons for the death of children in developing countries like Ethiopia. Accordingly, this study aimed to assess determinants of wasting among children aged 6-59 months in Meket district, North Wollo zone, North-East Ethiopia.

SETTING

The study was conducted among communities in Meket district, North Wollo zone, North-East Ethiopia.

PARTICIPANTS

A total of 327 (109 cases and 218 controls) children aged 6-59 months participated in the study. Children from 6 months to 59 months of age who match the definition of case/wasted/ and control/not wasted were eligible for the study. However, children who had physical deformities which make anthropometric measurements inconvenient were excluded from the study.

PRIMARY AND SECONDARY OUTCOME MEASURES

The main outcome measure was wasting.

RESULT

The mean ages of the cases and controls were 21.77±11.41 months and 20.13±11.39 months, respectively. Factors that were significantly associated with wasting were: maternal decision making on the use of household money (adjusted odd ratio (AOR)=3.04, 95% CI 1.08 to 7.83), complementary feeding started in a month (AOR=3.02, 95% CI 1.097 to 6.97), food diversity score (AOR=2.64, 95% CI 1.64 to 5.23), frequency of complementary feeding (AOR=6.68, 95% CI 3.6 to 11.25) and history of acute respiratory infections (ARIs) 2 weeks preceding the survey (AOR=3.21, 95% CI 1.07 to 7.86).

CONCLUSION

Our result implies that the right time to introduce complementary foods, the frequency of feeding and also the amount of food consumed were some of the crucial factors that needed to be changed in child nutrition to reduce wasting. Furthermore, within the framework of our study, the empowerment of women in the decision-making process and the prevention of ARI should be seen as a necessary benchmark for acute malnutrition.

Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority

While the national prevalence of stunting in Indonesia has decreased, the level remains high in many districts/cities and there is significant variation. This ecological study employed aggregated data from the Basic Health Research Report and the District/City Poverty Data from 2018. We investigated the determinants of stunting prevalence at the district/city level, including autocorrelation applying the spatial autoregressive (SAR) model. The analyses revealed stunting prevalence above the national average in 282 districts/cities (54.9%), i.e. ≥30% in 297 districts/cities (57.8%) and ≥40% in 91 districts/cities (17.7%). Autocorrelation was found between Sumatra, Java, Sulawesi as well as Bali, East Nusa Tenggara and West Nusa Tenggara (Bali NTT NTB). The SAR modelling revealed the following variables with significant impact on the stunting prevalence in various parts of the country: closet defecation, hand washing, at least four antenatal care visits during pregnancy, poverty, immunisation and supplementary food for children under 5 years.

Maternal anemia and baby birth size mediate the association between short birth interval and under-five undernutrition in Ethiopia: a generalized structural equation modeling approach

Background

Studies assessing the association between short birth interval, a birth-to-birth interval of less than 33 months, and under-five undernutrition have produced inconclusive results. This study aimed to assess the relationship between short birth interval and outcomes of stunting, underweight, and wasting among children aged under-five in Ethiopia, and potential mediation of any associations by maternal anemia and baby birth size.

Method

Data from the 2016 Ethiopia Demographic and Health Survey (EDHS) was used. Stunting, wasting, and underweight among children aged under-five were outcome variables. Generalized Structural Equation Modeling (GSEM) was used to examine associations between short birth interval and outcomes, and to assess hypothesized mediation by maternal anemia and baby birth size.

Results

Significant associations between short birth interval and stunting (AOR = 1.49; 95% CI = 1.35, 1.66) and underweight (AOR = 1.43; 95% CI = 1.28, 1.61) were found. There was no observed association between short birth interval and wasting (AOR = 1.05; 95% CI = 0.90, 1.23). Maternal anemia and baby birth size had a significant partial mediation effect on the association between short birth interval and stunting (the coefficient reduced from β = 0.337, p < 0.001 to β = 0.286, p < 0.001) and underweight (the coefficient reduced from β = 0.449, p < 0.001 to β = 0.338, p < 0.001). Maternal anemia and baby birth size mediated 4.2% and 4.6% of the total effect of short birth interval on stunting and underweight, respectively.

Conclusion

Maternal anemia and baby birth size were identified as mediators of the association between short birth interval and under-five undernutrition status. Policies and programs targeting the reduction of under-five undernutrition should integrate strategies to reduce maternal anemia and small baby birth size in addition to short birth interval.

Sex Differences in Early Childhood Growth in a Resource-Limited Setting: A Secondary Analysis of the Early Life Interventions in Childhood Growth and Development in Tanzania (ELICIT) Study

BACKGROUND

In population-based growth surveys in sub-Saharan Africa, boys have higher rates of growth failure than girls.

OBJECTIVES

Our goal was to assess for the presence, timing, and potential etiology of sex-based differences in length-for-age z score (LAZ), weight-for-age z score (WAZ), and head circumference-for-age z score (HCZ) in a birth cohort in rural Tanzania.

METHODS

We performed a secondary analysis of randomized controlled trial data on 1084 children followed from age <2 wk to 18 mo, assessing anthropometry (measured every 3 mo), illness (hospitalization and monthly maternal report of symptoms), and feeding [monthly maternal report of exclusive breastfeeding (EBF) and complementary solids and liquids (CSLs)]. We used linear regression to assess sex differences in LAZ, WAZ, and HCZ over time.

RESULTS

Although male and female infants had similar anthropometry measures at study entry, males exhibited poorer growth through 6 mo (e.g., 3-mo mean LAZ: males -0.94, females -0.74, P < 0.01; 3-mo mean WAZ: males -0.63, females -0.48, P < 0.05), without significant worsening from 6 to 18 mo. Males had lower HCZ only at 9 mo. In evaluating possible etiologies, mediation analysis failed to identify illness or hospitalization as mediators of poorer growth among males, although at age 3 mo, males with recently reported illness exhibited greater decline in WAZ than females with illness (ΔWAZ: males -0.24, females 0.03, heterogeneity test P = 0.01). Differences in EBF and introduction of CSL did not explain the sex-based growth outcomes.

CONCLUSIONS

In longitudinal analysis, males exhibited more severe growth failure by 3 mo than girls and did not exhibit catchup growth between 6 and 18 mo. Reported symptoms of illness and early introduction of CSL did not appear to be mediators of these sex-based differences, although likely not all sickness was captured by monthly maternal report. Given the early nature of these deficits, LAZ and WAZ measures at 6 mo may be good outcomes for intervention studies targeting improvements in early childhood growth and thriving.

Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013-2017

Background

Internal migrants have an enormous impact on tuberculosis (TB) epidemic in China. Zhejiang Province, as one of the developed areas, also had a heavy burden caused by TB.

Methods

In this study, we collected all cases in Zhejiang Province through the TB Management Information System from 2013 to 2017. Description analysis and Spatio-temporal analysis using R software and ArcGIS were performed to identify the epidemiological characteristics and clusterings, respectively.

Results

48,756 individuals in total were notified with TB among the migrant population (TBMP), accounting for one-third of all cases identified. The primary sources of TB from migrants outside the province were from Guizhou, Sichuan, and Anhui. Wenzhou, Taizhou, and Lishui were the three mainly outflowing cities among the intra-provincial TBMP and Hangzhou as the primarily inflowing city. Also, results implied that the inconsistency of the TBMP in spatial analysis and the border area of Quzhou and Lishui city had the highest risk of TB occurrence among the migrants. Additionally, one most likely cluster and four secondary clusters were identified by the spatial–temporal analysis.

Conclusion

The effective control of TB in extra-provincial MP was critical to lowering the TB burden of MP in Zhejiang Province. Also, it is suggested that active TB screening for migrant employees outflowed from high epidemic regions should be strengthened, and further traceability analysis needs to be investigated to clarify the mechanism of TB transmission in clustered areas.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-022-07071-5.

Socioeconomic inequalities in child growth failure in Ethiopia: findings from the 2000 and 2016 Demographic and Health Surveys

OBJECTIVE

Socioeconomic inequalities in child growth failure (CGF) remain one of the main challenges in Ethiopia. This study examined socioeconomic inequalities in CGF and determinants that contributed to these inequalities in Ethiopia.

METHODS

The Ethiopia Demographic and Health Surveys 2000 and 2016 data were used in this study. A pooled unweighted sample of the two surveys yielded 21514 mother-child pairs (10873 in 2000 and 10641 in 2016). We assessed socioeconomic inequalities in CGF indicators using the concentration curve and concentration index (CI). We then decomposed the CI to identify percentage contribution of each determinant to inequalities.

RESULTS

Socioeconomic inequalities in CGF have increased in Ethiopia between 2000 and 2016. The CI increased from -0.072 and -0.139 for stunting, -0.088 and -0.131 for underweight and -0.015 and -0.050 for wasting between 2000 and 2016, respectively. Factors that mainly contributed to inequalities in stunting included geographical region (49.43%), number of antenatal care visits (31.40%) and child age in months (22.20%) in 2000. While in 2016, inequality in stunting was contributed mainly by wealth quintile (46.16%) and geographical region (-13.70%). The main contributors to inequality in underweight were geographical regions (82.21%) and wealth quintile (27.21%) in 2000, while in 2016, wealth quintile (29.18%), handwashing (18.59%) and access to improved water facilities (-17.55%) were the main contributors. Inequality in wasting was mainly contributed to by maternal body mass index (-66.07%), wealth quintile (-45.68%), geographical region (36.88%) and paternal education (33.55%) in 2000, while in 2016, wealth quintile (52.87%) and urban areas of residence (-17.81%) were the main driving factors.

CONCLUSIONS

This study identified substantial socioeconomic inequalities in CGF, and factors that relatively contributed to the disparities. A plausible approach to tackling rising disparities may involve developing interventions on the identified predictors and prioritising actions for the most socioeconomically disadvantaged groups.

Anthropometric failures and its associated factors among preschool-aged children in a rural community in southwest Ethiopia

Background

In 2019, 144 million under-five-year-old children were stunted, and 47 million were wasted globally. In Ethiopia, approximately 350,000 children are estimated to die each year. Preschool aged children need focused attention because this age group not only has special needs, but also forms the platform for growth and development of all children. Under nutrition among preschool children is the result of a complex interplay of diverse elements, such as birth weight, household access to food, availability and use of drinking water. This study aimed at determining the anthropometric failures and associated factors using composite indictors.

Methods

A community-based cross-sectional study design was used among randomly selected 588 caregivers with pre-school aged children. Under-nutrition of pre-school aged children was computed by using the composite index of anthropometric failure. A multi-stage sampling technique followed by a systematic random sampling technique was used to select study participants. Structured questionnaires were used to collect data. WHO Anthro software was used to calculate height for age, weight for age and weight for height. The overall prevalence of anthropometric failure (CIAF). Both bivariable and multivariable binary logistic regressions were used to identify factors associated with under-nutrition.

Results

The overall prevalence of under-nutrition among pre-school children was 50.8%, which was significantly associated with being a female (AOR = 1.51, CI: 1.076, 2.12), being from a large family (AOR = 1.78, CI: 1.19, 2.663), having acute respiratory infection (AOR = 1.767, CI: 1.216, 2.566), lack of improved source of drinking water (AOR = 1.484 CI: 1.056, 2.085) and poor dietary diversity score (AOR = 1.5, CI: 1.066, 2.112).

Conclusions

The study area has a high prevalence of CIAF in pre-school aged children. The CIAF was found to be significantly associated with the sex of the child, family size, ARI within the last two weeks, and dietary diversity score. To promote the use of family planning and the prevention of infectious diseases, health education is required. The government should adapt CIAF as a metric for assessing children’s nutritional status.

Effective nutrition governance is correlated with better nutrition outcomes in Nepal

BACKGROUND

The public health burden of undernutrition remains heavy and widespread, especially in low-income countries like Nepal. While predictors of undernutrition are well documented, few studies have examined the effects of political will and quality of policy or program implementation on child growth.

METHODS

Data were collected from two nationwide studies in Nepal to determine the relationship between a metric of nutrition 'governance' (the Nutrition Governance Index), derived from interviews with 520 government and non-government officials responsible for policy implementation and anthropometry measured for 6815 children in 5556 households. We employed Generalized Estimating Equation (GEE) and multilevel regression models.

RESULTS

A higher NGI (more effective nutrition governance) is positively associated with height-for-age as well as weight-for-height in children over 2 years of age compared to younger children (HAZ; β = 0.02, p < 0.004, WHZ; β = 0.01, p < 0.37). Results from the hierarchical model show that a one-point increase in the NGI is significantly associated with a 12% increase in HAZ and a 4% increase in WHZ in older children (> 24 months old). Mothers' education, child's age, BMI and no fever in the past 30 days were also protective of stunting and wasting. Seven percent and 17% of the overall variance in HAZ and WHZ, respectively, are accounted for by variations across the 21 district locations in which sampled households were located. Mean HAZ differs considerably across districts (intercept = 0.116, p < 0.001).

CONCLUSIONS

These results highlight the importance of effective management of policy-based programming and resource use to bring about nutrition gains on the ground. The NGI explained a non-negligible amount of variation in HAZ and WHZ, which underscores the fundamental role that good governance plays in promoting child nutrition and growth, and the value of seeking to measure it to assist governments in moving policies from paper to practice.

Exploring Spatial Variations and Determinants of Dietary Diversity Among Children in Ethiopia: Spatial and Multilevel Analysis Using EDHS (2011-2016)

Introduction

Dietary diversity has a significant impact on children’s nutritional health. For developing and implementing interventions, it is critical to understand the regional distribution of dietary diversity and underlying factors. However, the application of spatial techniques in dietary studies has not been well documented. The study’s goal was to look into the regional variances and factors that influence children’s dietary diversity. Further, we have discussed the spatial correlation of dietary diversity with nutritional status.

Methods

Data from the National Demographic and Health Survey were used during analyses. This work evaluated the overall dietary diversity of children aged 6–23 months based on the 2017 WHO and UNICEF classification of minimum dietary diversity (MDD). The Local Anselin Moran’s I was estimated to look into the regional variation of dietary diversity and hotspot and cold spot areas. Further, multivariate multilevel logistic regression was used for factor analyses.

Results

Overall, only 13.3% (95% CI: 10.2–14.7%) of children in 2011 and 24% (95% CI: 15.5–26.5%) in 2016 achieved MDD. We identified statistically significant clusters of high inadequate dietary diversity (hotspots) in the districts of northern Ethiopia, notably in the Amhara, Tigray, and Afar regions, and clusters of low inadequate dietary diversity (cold spots) in the country’s central and western regions. In both studies, the frequency of dietary diversity was significantly higher among older children, those who had media exposure, and mothers and fathers who had received formal education.

Conclusion

According to our findings, the MDD of children in Ethiopia, as measured by WHO dietary assessment, slightly increased from 2011 to 2016. The dietary diversity of children was distributed non-randomly in different districts across regions of Ethiopia. Localized intervention and preventative methods to improve dietary patterns and culture can be developed using existing socio-demographic factors and districts with a larger distribution of inadequate dietary diversity.

The role of complementary feeding in India's high child malnutrition rates: findings from a comprehensive analysis of NFHS IV (2015-2016) data

Relative to its economic growth and poverty levels, Indian children suffer from higher levels of malnutrition than children in many other low- and middle-income countries. Research presented in this article examined the links between infant and young child feeding practices among Indian children and their rates of stunting, underweight, wasting, and anaemia, with a particular focus on the types of semisolid complementary food consumed. It did so through a comprehensive analysis of data on more than 57,000 6-to-23-month-old children obtained from the nationally representative National Family Health Survey IV (2015–2016). One of the key findings was that especially feeding children animal-sourced and vitamin-A-rich food was associated with lower malnutrition rates. The study further interrogated whether livestock ownership and participation in the Integrated Child Development Services programme could be supportive of better complementary child feeding and concluded that daily food receipts from the programme and poultry ownership were indeed linked with significantly higher rates of children following the recommended feeding practices as well as with somewhat lower children’s malnutrition rates.

Trends in child growth failure among children under five years of age in Ethiopia: Evidence from the 2000 to 2016 Demographic and Health Surveys

INTRODUCTION

In a majority of low- and middle-income countries (LMICs), levels of child growth failure (CGF) have steadily declined since 2000. However, some countries show a different trend. Despite continued investment from the government of Ethiopia as well as donors, CGF levels are still high in Ethiopia. This study aimed to assess trends in CGF and associated sociodemographic, economic and water, sanitation, and hygiene (WASH) factors from 2000 to 2016 in Ethiopia.

METHODS

Data were taken from four rounds of the Ethiopia Demographic and Health Survey (EDHS). Children aged between 0 to 59 months were included. CGF indicators were categorised based on height-for-age z-score (HAZ) < -2 Standard deviation (SD), weight-for-age z-score (WAZ) < -2 SD and weight-for-height z-score (WHZ) < -2 SD. CGF trends were estimated for predicted probabilities and odds ratios (ORs) between 2000 and 2016.

RESULTS

A total sample size of 31978 for HAZ, 32045 for WAZ and 32246 for WHZ were included in the current study. Stunting decreased from an adjusted odds ratio (AOR) = 0.77 (95% CI: 0.67 to 0.88) in 2005 to an AOR = 0.45 (95% CI: 0.39 to 0.53) in 2016 compared with the year 2000. Compared with data in 2000, underweight decreased from an AOR of 0.70 (95% CI: 0.61 to 0.80) in 2005 to an AOR of 0.43 (95% CI: 0.36 to 0.50) in 2016. Wasting declined from an AOR of 0.91 (95% CI: 0.75 to 1.10) in 2005 to an AOR of 0.76 (95% CI: 0.61 to 0.94) in 2016, compared with data in 2000.

CONCLUSIONS

Between 2000 to 2016, there was a decline in CGF levels albeit the levels are still relatively high compared with the World Health Organization (WHO) cut-off levels for public health concern. Observed rates of change varied across sociodemographic, economic and WASH factors which suggest that interventions tailored towards addressing the imbalances across those factors are required.

Severe stunting and its associated factors among children aged 6-59 months in Ethiopia; multilevel ordinal logistic regression model

BACKGROUND

In Ethiopia, stunting is the most common form of undernutriton. Identifying the determinants of severe stunting among children is crucial for public health interventions to improve child health. Therefore, this study aimed to identify the determinants of severe stunting among under-five children in Ethiopia.

METHODS

A community-based cross-sectional study design was employed. A two stage stratified cluster sampling technique was used. A multilevel ordinal logistic regression model was fitted to identify independent determinants. Adjusted odds ratio (AOR) and median odds ratio (MOR) with its 95% confidence interval at p-value< 0.05 were used to declare statistical significance.

RESULTS

The result of this study showed that about 18% of the children were severely stunted. Being male increased the severity of stunting in children by 26% adjusted odds ratio (AOR): 1.26 (95% CI: 1.09-1.46), compared to female sex; over-weight mothers increased the severity of stunting in their children AOR: 3.43 (95% CI: 2.21-5.33) compared to normal BMI mothers; and children from middle, poorer, and poorest wealth index households were 1.84 (95% CI:1.27-2.67), 2.13 (95% CI, CI:1.45-3.14) and 2.52 (95% CI,1.72-3.68). In contrast, severe stunting was reduced by 62% (AOR: 0.38, 95% CI: 0.20-0.74) and 48% (AOR = 0.52, 95% CI: 0.37-0.72) in children of educated mothers compared to children of uneducated mothers and children of underweight mothers compared with those children of normal BMI mothers respectively. For each one-unit increase in maternal height, there is a 5% significant reduction in the child's odds of being severely stunted. After controlling for other factors, the effect of predictors on the likelihood of stunting in high risk clusters increased by a median odds ratio (MOR) of 1.83 (95% CI: 1.69-2.00).

CONCLUSIONS

The magnitude of severe childhood stunting was still high with regional variation in Ethiopia. Child age, sex, maternal height, age, education and household wealth index as well as administrative regions were significantly associated factors with severe stunting. Significant interventions shall be implemented at the individual, household and community levels in order to reduce the problem.

Boys are more likely to be undernourished than girls: a systematic review and meta-analysis of sex differences in undernutrition

BACKGROUND

Excess male morbidity and mortality is well recognised in neonatal medicine and infant health. In contrast, within global nutrition, it is commonly assumed that girls are more at risk of experiencing undernutrition. We aimed to explore evidence for any male/female differences in child undernutrition using anthropometric case definitions and the reasons for differences observed.

METHODS

We searched: Medline, Embase, Global health, Popline and Cochrane databases with no time limits applied. Eligible studies focused on children aged 0-59 months affected by undernutrition where sex was reported. In the meta-analysis, undernutrition-specific estimates were examined separately for wasting, stunting and underweight using a random-effects model.

RESULTS

74 studies were identified: 44/74 studies were included in the meta-analysis. In 20 which examined wasting, boys had higher odds of being wasted than girls (pooled OR 1.26, 95% CI 1.13 to 1.40). 38 examined stunting: boys had higher odds of stunting than girls (pooled OR 1.29 95% CI 1.22 to 1.37). 23 explored underweight: boys had higher odds of being underweight than girls (pooled OR 1.14, 95% CI 1.02 to 1.26). There was some limited evidence that the female advantage, indicated by a lower risk of stunting and underweight, was weaker in South Asia than other parts of the world. 43/74 (58%) studies discussed possible reasons for boy/girl differences; 10/74 (14%) cited studies with similar findings with no further discussion; 21/74 (28%) had no sex difference discussion. 6/43 studies (14%) postulated biological causes, 21/43 (49%) social causes and 16/43 (37%) to a combination.

CONCLUSION

Our review indicates that undernutrition in children under 5 is more likely to affect boys than girls, though the magnitude of these differences varies and is more pronounced in some contexts than others. Future research should further explore reasons for these differences and implications for nutrition policy and practice.

Using geographically weighted regression analysis to cluster under-nutrition and its predictors among under-five children in Ethiopia: Evidence from demographic and health survey

BACKGROUND

Malnutrition among under-five children is a common public health problem and it is one of the main cause for the mortality of under-five children in developing countries, including Ethiopia. Therefore, lack of evidence about geographic heterogeneity and predictors of under-nutrition hinders for evidence-based decision-making process for the prevention and control programs of under-nutrition in Ethiopia. Thus, this study aimed to address this gap.

METHODS

The data were obtained from the Ethiopian Demographic and Health Survey (EDHS) 2016. A total of 9,384 under-five children nested in 645 clusters were included with a stratified two-stage cluster sampling. ArcGIS version 10.5 software was used for global, local and ordinary least square analysis and mapping. The spatial autocorrelation (Global Moran's I) statistic was held in order to assess the pattern of wasting, stunting, and underweight whether it was dispersed, clustered, or randomly distributed. In addition, a Bernoulli model was used to analyze the purely spatial cluster detection of under-nutrition indicators through SaTScan version 9.6 software. Geographically weighted regression (GWR) version 4.0 software was used to model spatial relationships in the GWR analysis. Finally, a statistical decision was made at p-value<0.05 with 95%CI for ordinary least square analysis and geographically weighted regression.

MAIN FINDINGS

Childhood under-nutrition showed geographical variations at zonal levels in Ethiopia. Accordingly, Somali region (Afder, Gode, Korahe, Warder Zones), Afar region (Zone 2), Tigray region (Southern Zone), and Amhara region (Waghmira Zones) for wasting, Amhara region (West Gojam, Awi, South Gondar, and Waghmira Zones) for stunting and Amhara region (South Wollo, North Wollo, Awi, South Gondar, and Waghmira zones), Afar region (Zone 2), Tigray region (Eastern Zone, North Western Zone, Central Zone, Southern Zone, and Mekele Special Zones), and Benshangul region (Metekel and Assosa Zones) for underweight were detected as hot spot (high risk) regions. In GWR analysis, had unimproved toilet facility for stunting, wasting and underweight, father had primary education for stunting and wasting, father had secondary education for stunting and underweight, mothers age 35-49 years for wasting and underweight, having female children for stunting, having children eight and above for wasting, and mother had primary education for underweight were significant predictors at (p<0.001).

CONCLUSIONS

Our study showed that the spatial distribution of under-nutrition was clustered and high-risk areas were identified in all forms of under-nutrition indicators. Predictors of under-nutrition were identified in all forms of under-nutrition indicators. Thus, geographic-based nutritional interventions mainly mobilizing additional resources could be held to reduce the burden of childhood under-nutrition in hot spot areas. In addition, improving sanitation and hygiene practice, improving the life style of the community, and promotion of parent education in the identified hot spot zones for under-nutrition should be more emphasized.

Childhood stunting and associated factors among irrigation and non-irrigation user northwest, Ethiopia: a comparative cross-sectional study

BACKGROUND

Stunting is a critical public health problem of developing countries like Ethiopia. Different interventions like irrigation activity have been carried out by the government of Ethiopia to improve the nutritional status of the community. However, there is scanty of data on childhood stunting and its associated factors between irrigation user and non-irrigation user.

OBJECTIVE

To assess the magnitude of childhood stunting and its associated factors between irrigation and non-irrigation user in North Mecha District, Northwest Ethiopia.

METHODS

A community-based comparative cross-sectional study design was employed from October to November 2019. A systematic sampling was used to draw mothers with children age 6-59 months (582 irrigated and 582 non- irrigated household users). Data were collected using questionnaire and anthropometric measurement tools. Multivariable logistic regression was used to identify the predictors of stunting. Adjusted odds ratios with 95% CI were used to determine the degree of association between independent and outcome variable. A-p-value < 0.05 was used as cutoff point to declare statistically significant variables with the outcome variable.

RESULTS

The prevalence of childhood stunting (6-59 months) among irrigation users [32.8% at 95%CI [29.1%-36.7%]] was slightly lower than non-users [40.2% at 95%CI [[36.3%-44.2%]]]. However, the difference did not show significant variation. The odds of childhood stunting were higher among a child from a mother had no antenatal visit, a child whose age was between 12 and 47 months, a child from a mother who did not use water and soap always for washing hands, and a child who had fever.

CONCLUSION

The prevalence of childhood stunting was high and did not show significant variation between irrigation and non-irrigation users. A child from mother had no antenatal visit, whose age was between 12 and 47 months, a mother who did not use water and soap always for washing hands, and who had fever were factors associated with higher child stunting. Thus, the identified modifiable factors should be strengthened to reduce stunting.

Household, dietary and healthcare factors predicting childhood stunting in Ethiopia

Stunting, decidedly prevalent in Ethiopia, is a reduction of linear growth associated with a series of adverse consequences. However, little is known about its determinants and factors associated in Ethiopia and elsewhere. Therefore, this study aimed to determine major undelying factors associated with risk of stunting among under-five children in Ethiopia. We used the 2016 Ethiopian Demographic and Heath Survey (EDHS) data and analysed a total of 11,023 children aged 0–59 months' data. Bivariate and multivariate logistic regression were fitted to identify key predictors and factors associated with stunting. Results show that, household and demographic factors such as maternal education (AOR: 0.67, 95% CI: 0.51, 0.89), wealth index (AOR: 0.65 (0.54, 0.78), sex of child (AOR: 0.78 (0.72, 0.85), possession of refrigerator (AOR: 0.57 (0.36, 0.89), possession of television and others like twin birth, house main floor material, types of cooking fuel were significantly association with stunting. Among dietary factors, early initiation of breast feeding; feeding powdered or fresh milk (AOR: 0.63 (0.52, 0.76); formula feeding (AOR: 0.41 (0.21, 0.81); consumption of organ meat(s) (AOR: 0.52 (0.32, 0.85) and beta-carotene rich fruits and vegetables were significantly associated lower odds of stunting. Antenatal care (ANC) follow-up, deworming during pregnancy (AOR : 0.11 (0.02, 0.74), institutional delivery (AOR : 0.64 (0.58, 0.71) and birth size (AOR: 5.1 (1.64, 15.88) were among the health care factors associated with stunting of under-five children. In conclusion, stunting is modulated by several household, dietary and healthcare factors, both at household and community-level. Likewise; improving household income, women empowerment, dietary diversity among mothers and children and improving maternal health care system are critical to mitigate under-five stunting more rapidly.

Maternal factors associated with moderate and severe stunting in Ethiopian children: analysis of some environmental factors based on 2016 demographic health survey

Background

Stunting or chronic undernutrition is a significant public health problem in Ethiopia. In 2019, 37% of Ethiopian children under-5 were stunted. Stunting results from a complex interaction of individual, household and social (environmental) factors. Improving the mother’s overall care is the most important determinant in reducing the stunting levels in developing countries. We aimed to determine the most important maternal factors associated with stunting and quantify their effects.

Methods

This study used data from the nationally representative 2016 Ethiopian Demographic Health Survey (EDHS). Common maternal factors were first selected and analyzed using Pearson’s chi-square of association followed by multiple logistic regression. To quantify the effect of a unit change of a predictor variable a model for the continuous maternal factors was developed. All analyses were carried out using IBM SPSS© Version 23.

Results

Higher maternal educational level, better maternal autonomy, average or above maternal height and weight, having at least 4 antenatal care (ANC) clinic visits, and delivering in a health facility were significantly associated with lower severe stunting levels. Unemployed mothers were 23% less likely (p = 0.003) to have a stunted child compared with employed mothers. Mothers delivering at home had 32% higher odds of stunting (p = 0.002). We found that short mothers (< 150 cm) were 2.5 more likely to have stunted children when compared with mothers above 160 cm. Every visit to the ANC clinic reduces stunting odds by 6.8% (p <  0.0001). The odds of stunting were reduced by 7% (p = 0.028) for every grade a girl spent in school. A unit increase in Body Mass Index (BMI) reduced the odds of stunting by 4% (p = 0.014) and every centimeter increase in maternal height reduced the odds of stunting by 0.5% (p = 0.01).

Conclusion

Maternal education, number of antenatal care visits, and place of delivery appear to be the most important predictors of child stunting in Ethiopia.. Therefore, educating and empowering women, improving access to family planning and ANC services, and addressing maternal malnutrition are important factors that should be included in policies aiming to reduce childhood stunting in Ethiopia.

Predictors of stunting among children age 6-59 months in Ethiopia using Bayesian multi-level analysis

In developing countries including Ethiopia stunting remained a major public health burden. It is associated with adverse health consequences, thus, investigating predictors of childhood stunting is crucial to design appropriate strategies to intervene the problem stunting. The study uses data from the Ethiopian Demographic and Health Survey (EDHS) conducted from January 18 to June 27, 2016 in Ethiopia. A total of 8117 children aged 6-59 months were included in the study with a stratified two stage cluster sampling technique. A Bayesian multilevel logistic regression was fitted using Win BUGS version 1.4.3 software to identify predictors of stunting among children age 6-59 months. Adjusted odds ratio (AOR) with 95% credible intervals was used to ascertain the strength and direction of association. In this study, increasing child's age (AOR = 1.022; 95% CrI 1.018-1.026), being a male child (AOR = 1.16; 95%CrI 1.05-1.29), a twin (AOR = 2.55; 95% CrI 1.78-3.56), having fever (AOR = 1.23; 95%CrI 1.02-1.46), having no formal education (AOR = 1.99; 95%CrI 1.28-2.96) and primary education (AOR = 83; 95%CrI 1.19-2.73), birth interval less than 24 months (AOR = 1.40; 95% CrI 1.20-1.61), increasing maternal BMI (AOR = 0.95; 95% CrI 0.93-0.97), and poorest household wealth status (AOR = 1.78; 95% CrI 1.35-2.30) were predictors of childhood stunting at individual level. Similarly, region and type of toilet facility were predictors of childhood stunting at community level. The current study revealed that both individual and community level factors were predictors of childhood stunting in Ethiopia. Thus, more emphasize should be given by the concerned bodies to intervene the problem stunting by improving maternal education, promotion of girl education, improving the economic status of households, promotion of context-specific child feeding practices, improving maternal nutrition education and counseling, and improving sanitation and hygiene practices.

Low Economic Class Might Predispose Children under Five Years of Age to Stunting in Ethiopia: Updates of Systematic Review and Meta-Analysis

Background

Malnutrition is major public health problem worldwide, particularly in developing countries including Ethiopia. In 2016, out of 667 million children under five years of age, 159 million were stunted worldwide. The prevalence of stunting has been decreasing greatly from 58% in 2000 to 44% in 2011 and 38% in 2016 in Ethiopia. However, the prevalence of stunting is still high and considered as public health problem for the country. The aim of this systematic review and meta-analysis is to assess the prevalence of stunting and its associations with wealth index among children under five years of age in Ethiopia. Methodology. The databases searched were MEDLINE, Scopus, HINARI, and grey literature studies. The studies' qualities were assessed by two reviewers independently, and any controversy was handled by other reviewers using the Joanna Briggs Institute (JBI) critical appraisal checklist. The JBI checklist was used in assessing the risk of bias and method of measurement for both outcome and independent variables. Especially, the study design, study participants, definition of stunting, statistical methods used to identify the associations, results/data presentations, and odds ratios (ORs) with confidence intervals (CIs) were assessed. In the statistical analysis, the funnel plot, Egger's test, and Begg's test were used to assess publication bias. The I² statistic, forest plot, and Cochran's Q-test were used to deal with heterogeneity.

Results

In this review, 35 studies were included to assess the pooled prevalence of stunting. Similarly, 16 studies were used to assess the estimated effect sizes of wealth index on stunting. In this meta-analysis, the pooled prevalence of stunting was 41.5% among children under five years of age, despite its considerable heterogeneity (I² = 97.6%, p < 0.001, Q = 1461.93). However, no publication bias was detected (Egger's test p=0.26 and Begg's test p=0.87). Children from households with a medium or low/poor wealth index had higher odds of stunting (AOR: 1.33, 95% CI 1.07, 1.65 or AOR: 1.92, 95% CI 1.46, 2.54, respectively) compared to children from households with a high/rich wealth index. Both of the estimated effect sizes of low and medium wealth indexes had substantial heterogeneity (I² = 63.8%, p < 0.001, Q = 44.21 and I² = 78.3%, p < 0.001, Q = 73.73) respectively). In estimating the effect, there was no publication bias (small-studies effect) (Egger and Begg's test, p > 0.05).

Conclusions

The pooled prevalence of stunting was great. In the subgroup analysis, the Amhara region had the highest prevalence of stunting, followed by the Oromia and Tigray regions, respectively. Low economic status was associated with stunting in Ethiopia. This relationship was found to be statistically more accurate in Oromia and Amhara regions. The government should emphasize community-based nutrition programs by scaling up more in these regions, just like the Seqota Declaration.

Modelling children's anthropometric status using Bayesian distributional regression merging socio-economic and remote sensed data from South Asia and sub-Saharan Africa

A history of insufficient nutritional intake is reflected by low anthropometric measures and can lead to growth failures, limited mental development, poor health outcomes and a higher risk of dying. Children below five years are among those most vulnerable and, while improvements in the share of children affected by insufficient nutritional intake has been observed, both sub-Saharan Africa and South Asia have a disproportionately high share of growth failures and large disparities at national and sub-national levels. In this study, we use a Bayesian distributional regression approach to develop models for the standard anthropometric measures, stunting and wasting. This approach allows us to model both the mean and the standard deviation of the underlying response distribution. Accordingly, the whole distribution of the anthropometric measures can be evaluated. This is of particular importance, considering the fact that (severe) growth failures of children are defined having a z-score below -2 (-3), emphasising the need to extend the analysis beyond the conditional mean. In addition, we merge individual data taken from the Demographic and Health Surveys with remote sensed data for a large sample of 38 countries located in sub-Saharan Africa and South Asia for the period 1990-2016, in order to combine individual and household specific characteristics with geophysical and environmental characteristics, and to allow for a comparison over time. Our results show besides gender differences across space, and strong non-linear effects of included socio-economic characteristics, in particular for maternal education and the wealth of the household that, surprisingly, in the presence of socio-economic characteristics, remote sensed data does not contribute to variations in growth failures, and including a pure spatial effect excluding remote sensed data leads to even better results. Further, while all regions showed improvements towards the target of the Sustainable Development Goals (SDGs), our analysis identifies hotspots of growth failures at sub-national levels within India, Nigeria, Niger, and Madagascar, emphasising the need to accelerate progress to reach the target set by the SDGs.

Co-morbid anaemia and stunting among children 2-5 years old in southern Ethiopia: a community-based cross-sectional study

BACKGROUND

In Ethiopia, 38% of children less than 5 years of age are stunted and 57% are anaemic. Both have a negative impact later in life on physical growth and cognitive development and often coexist. There are few studies in Ethiopia that assessed co-morbid anaemia and stunting (CAS) and context-specific factors associated with it.

OBJECTIVE

The objective of this study was to assess the prevalence of CAS, and factors associated with CAS among children aged 2 to 5 years, in southern Ethiopia.

METHODS

A community-based cross-sectional survey was conducted among 331 randomly selected children in 2017. Mothers were interviewed using a structured questionnaire to obtain child and household information. Anthropometric measurements and blood samples for haemoglobin were collected. Stunting was defined as height-for-age Z-scores (HAZ) less than -2 SDs and anaemia was defined as altitude-adjusted haemoglobin levels less than 11.0 g/dL. CAS was defined when a child was both stunted and anaemic. Crude and adjusted multinomial logistic regression analyses were used to identify factors associated with CAS.

RESULTS

Out of 331 children studied, 17.8% (95% CI 13.87% to 22.4%) had CAS. Factors found significantly linked with higher odds of CAS were increased child age (adjusted OR (AOR) 1.0 (1.0 to 1.1)) and no iron supplementation during the last pregnancy (AOR (95% CI) 2.9 (1.3 to 6.2)). One factor found significantly linked to lower odds of CAS was food secured households (AOR (95% CI) 0.3 (0.1 to 0.9)).

CONCLUSIONS

Co-morbid anaemia and stunting among children in the study area is of concern; it is associated with household food security, iron supplementation during pregnancy and child age. Therefore, comprehensive interventions focusing on improving household food security and promoting iron supplementation for pregnant women are suggested.

Multilevel and spatial analyses of childhood malnutrition in Uganda: examining individual and contextual factors

In this study, we examine the concepts of spatial dependence and spatial heterogeneity in the effect of macro-level and micro-level factors on stunting among children aged under five in Uganda. We conducted a cross-sectional analysis of 3624 Ugandan children aged under five, using data from the 2016 Ugandan Demographic and Health Survey. Multilevel mixed-effect analysis, spatial regression methods and multi-scale geographically weight regression (MGWR) analysis were employed to examine the association between our predictors and stunting as well as to analyse spatial dependence and variability in the association. Approximately 28% of children were stunted. In the multilevel analysis, the effect of drought, diurnal temperature and livestock per km² on stunting was modified by child, parent and household factors. Likewise, the contextual factors had a modifiable effect on the association between child’s sex, mother’s education and stunting. The results of the spatial regression models indicate a significant spatial error dependence in the residuals. The MGWR suggests rainfall and diurnal temperature had spatial varying associations with stunting. The spatial heterogeneity of rainfall and diurnal temperature as predictors of stunting suggest some areas in Uganda might be more sensitive to variability in these climatic conditions in relation to stunting than others.