Factors associated with malnutrition among children <5 years old in Burkina Faso: evidence from the Demographic and Health Surveys IV 2010

A multilevel analysis of factors associated with stunting among children under five years in Lesotho: a study of the lesotho multiple cluster indicator survey 2018

BACKGROUND

The United Nations Children's Fund (UNICEF) states that inadequate nutrition during the first 1,000 days of a child's life can contribute to stunted growth. Lesotho is currently experiencing a high prevalence of malnutrition across all age groups. Therefore, this study aims to investigate the prevalence and multilevel factors associated with stunting among children under five in Lesotho.

METHODS

The study used the Lesotho Multiple Cluster Indicator Survey of 2018. The data was analysed using STATA version 14 software, and a multilevel logistic regression model was fitted. The Wald adjusted odds ratio (WAOR) with a P-value < 0.05 was also taken to indicate statistical significance.

RESULTS

The prevalence of stunting was 33.6% [95% CI 31.6 33.6] amongst the children under five years old in Lesotho. At an individual level, the odds of stunting are lower for the children that did not receive the minimum acceptable diet (MAD) (WAOR = 0.52; CI: 0.3, 0.9), the children born with greater than 3.8 kg birth weight (WAOR = 0.51; CI: 0.4, 0.6), and those that did not have respiratory infections (WAOR = 0.61; CI: 0.4, 1.0) compared to their counterparts. At the household level, the likelihood of stunting was the lowest for education beyond secondary (WAOR = 0.26; CI: 0.2, 0.4), the fifth household wealth (WAOR = 0.34; CI: 02, 03), the safe sources of drinking water (WAOR = 0.72; CI: 06, 09) and inadequate toilet facilities (WAOR = 0.62; CI: 0.5, 0.7) compared to their counterparts. Higher odds were observed amongst the children from rural areas (WAOR = 1.95; CI: 1.3, 2.1), and mothers not residing within the household (WAOR = 1.30; CI: 1.1, 1.6) compared to their counterparts. At the community level, decreased odds were associated with the children from the communities with high community maternal education (WAOR = 0.69; CI: 0.6, 0.8) and the community male education (WAOR = 0.56; CI: 0.5, 0.7), as well as those in the communities with low safety of drinking water sources (WAOR = 0.73; CI: 0.3, 0.5), adequate toilet facilities (WAOR = 0.66; CI: 0.5, 0.8) and high maternal media exposure (WAOR = 0.37; CI: 0.3, 0.5) compared counterparts. The children from communities with high community poverty were two times (WAOR = 2.04; CI: 1.7, 2.5) more likely to be stunted.

CONCLUSION

The findings suggest targeting community food availability and knowledge acquisition. Expanding information availability through mass media would improve the nutritional status of children in Lesotho.

Identifying determinants of malnutrition in under-five children in Bangladesh: insights from the BDHS-2022 cross-sectional study

Malnutrition remains one of the most pressing global health challenges, particularly in developing countries like Bangladesh, where it continues to significantly impact child health and contribute to chronic illness and high child mortality. Despite the potential of machine learning to improve malnutrition predictions, research in this area remains limited in the country. This study utilizes Bangladesh Demographic and Health Survey (BDHS) 2022 data to identify and quantify key determinants of under-five malnutrition (underweight, wasting, stunting) and evaluates various machine learning models for predicting malnutrition. By addressing a critical gap, this research provides deeper insights into the root causes of malnutrition in Bangladesh. Descriptive statistics were conducted to summarize the key characteristics of the dataset. Boruta algorithm was employed to identify important features related to malnutrition which were then used to evaluate several machine learning models, including K-Nearest Neighbors (KNN), Neural Networks (NN), Classification and Regression Trees (CART), XGBoost (XGBM), Support Vector Machines (SVM), and Random Forest (RF), in addition to the traditional logistic regression (LR) model. The best-performing model was selected to identify the most important factors contributing to malnutrition. The significance of these variables was further assessed using Feature Importance plot (Based on Gini Importance) and Shapley Additive Explanation (SHAP) values. Model performance was evaluated through various metrics, including accuracy, 95% Confidence Interval (CI), Cohen's kappa, sensitivity, specificity, F1 score and precision. The study examined a cohort of 7,910 children, reporting prevalence rates of 19% for stunting, 8% for wasting, and 17% for underweight. The Boruta algorithm identified 18 confirmed features for stunting, 22 for wasting, and 19 for underweight. For stunting, the Random Forest (RF) model outperformed other methods with an accuracy of 64.19%, 95% CI of (0.623, 0.666), Cohen's kappa of 0.158, sensitivity of 56.25%, specificity of 66.00%, F1 score of 0.750 and precision of 0.60. In wasting prediction, RF achieved the highest accuracy at 76.68%, 95% CI of (0.743, 0.787), Cohen's kappa of 0.049, sensitivity of 27.22%, specificity of 80.98%, F1 score of 0.865 and precision of 0.810. Similarly, for underweight, RF demonstrated superior performance with an accuracy of 68.18%, 95% CI of (0.662, 0.703), Cohen's kappa of 0.130, sensitivity of 43.02%, specificity of 73.48%, F1 score of 0.792 and precision of 0.735. Across all malnutrition types, the RF model consistently outperformed traditional logistic regression (LR) and other ML techniques in terms of accuracy, sensitivity, specificity, and other performance metrics. For stunting, key predictors identified in both the Shapley and Gini importance plots included mother's education, father's occupation, place of delivery, wealth index, birth order, and toilet facility; for wasting, significant predictors were antenatal care, unmet family planning, mother's BMI, birth interval, father's occupation, and television ownership; and for underweight, important factors included father's occupation, mother's education, child's age, birth order, wealth index, and place of delivery. This study highlights the effectiveness of Random Forest (RF) in predicting malnutrition outcomes-stunting, wasting, and underweight-using key features identified by the Boruta algorithm. While RF demonstrates moderate performance in predicting stunting and underweight, it shows strong predictive ability for wasting. This underscores RF's potential in guiding targeted interventions for wasting, though further improvements are needed for stunting and underweight predictions. Moreover, the study identifies key contributors for each malnutrition outcome. By pinpointing these determinants, the study provides actionable insights for designing targeted interventions to combat malnutrition more effectively. These findings align with the global development agenda, particularly Sustainable Development Goal (SDG) 2: Zero Hunger and SDG 3: Good Health and Well-being, reinforcing efforts to reduce malnutrition and improve child health outcomes in Bangladesh.

Soil-transmitted helminth infections and nutritional indices among children (5-9 years) and adolescents (10-12 years) in Calabar, Nigeria

BACKGROUND

Soil-transmitted helminth (STH) infections are a significant public health concern in developing countries, particularly affecting children (5-9 years) and adolescents (10-12 years). This study investigated the prevalence of STH infections, examined associated risk factors, and assessed their impact on the nutritional status of children and adolescents.

METHODS

An analytical cross-sectional study was conducted within schools and took place from April to June 2023 and involved 382 participants in Calabar, Nigeria. All participants in the study completed a questionnaire designed to gather information on their demographics and knowledge, attitudes, and practices (KAP) regarding STH infections. Anthropometric measurements were taken according to World Health Organisation (WHO) standards. Fresh faecal samples were collected from each study participant and examined via the Kato-Katz technique. The data were analysed using STATA software, version 14. A binomial logistic regression model was used to identify predictors of STH infections and to examine the associations between STH infection status and stunting, underweight, and wasting.

RESULTS

The overall prevalence of STHs was 28.8%, with Ascaris lumbricoides (19.6%) being the most prevalent. The prevalence of STHs was greater among males (30.2%) than females (27.7%) and was relatively greater among participants aged 10 years and above (34.8%). All study participants recorded light infection intensities. The prevalence rates of stunting, underweight, and wasting were 10.5%, 8.4%, and 6.3%, respectively. Respondents with no history of deworming were significantly less likely to contract an STH infection (Odds Ratio: 0.2; 95% Confidence Interval: 0.1-0.4; P < 0.001). The use of pit latrines was associated with a greater likelihood of STH infection (OR: 2.1; 95% CI: 1.3-3.4; P = 0.002). Additionally, respondents with poor attitude scores were significantly less likely to contract an STH infection (Adjusted Odds Ratio: 0.6; 95% CI: 0.4-0.8; P = 0.003), and those over 10 years old (OR: 0.1; 95% CI: 0.04-0.82; P = 0.027) were significantly less likely to be underweight than those aged 5-7 years. There was no association between stunting, underweight, wasting, and STH infection.

CONCLUSION

These findings highlight the necessity for an integrated approach to STH management and nutrition initiatives in Nigeria.

Risk factors of child malnutrition under 5 years: Evidence from Pakistan using the Composite Index of Anthropometric Failure

OBJECTIVES

Child malnutrition is a very serious health issue globally, particularly in emerging countries. Among South Asian countries, Pakistan has been observed to have a high prevalence of child malnutrition. In spite of the implementation of many health strategies and preventive measures for vulnerable populations, this issue is still unresolved and needs further investigation. The purpose of this study was to investigate the role of various social-, maternal-, and child-level factors considered to be responsible for nutritional health disparities among children.

METHODS

An assessment method of malnutrition, i.e., Composite Index of Anthropometric Failure (CIAF), was used to detect the prevalence of malnutrition among children under 5 years of age in Pakistan in order to present a comprehensive view that was lacking conventional indices of malnutrition. A binary logistic regression model was fitted to assess the link between malnutrition and socioeconomic, maternal, and child attributes based on CIAF data compiled from weight-for-height, weight-for-age, and height-for-age Z-scores using data from the Pakistan Demographic Health Survey (2017-2018).

RESULTS

A total of 4224 children under 5 years of age were included in the analysis. Approximately half of the children (45.34%) comprised anthropometric failures for the overall prevalence of undernutrition based on CIAF. The results of this study revealed that the leading determinant associated with CIAF was the child's age in months, small birth size, lack of breastfeeding, lack of maternal education, poor economic status of the household, and poor-quality water sources. The factors associated with stunting comprised the child's age in months, small child birth size, underweight maternal body mass index, and uneducated mothers. Only one factor-low household economic profile-was significantly associated with waste. Sindh, Baluchistan, and Khyber Pakhtunkhwa provinces had a higher risk of having wasted children. On the other hand, children aged 25-36 months had higher, small child birth size, underweight maternal BMI, un-educated mother, un-educated father, low economic profile of household experiencing of being underweight.

CONCLUSIONS

The findings of this study reinforce the significance of maternal health, parental education, and household economic profile in the prevention of malnutrition within young children of adequate birth size, as well as better overall health care up to adolescence in Pakistan. Well-nourished individuals are a valuable human resource and a requirement for a nation's progress and prosperity. In emerging nations such evidence-based policies are crucial for fostering children's optimal physical and mental development to ensure a healthier future generation. Therefore, the execution of national health policies aimed at the improvement of maternal and societal factors could result in improved nutrition levels among children below 5 years of age in Pakistan.

A systematic review of parenting and feeding practices, children's feeding behavior and growth stunting in Asian countries

This systematic review evaluates studies focusing on parenting and feeding practices, children's feeding behavior, and growth stunting in Asian countries. Eight electronic databases were searched to screen studies published between Jan 2015 and May 2021. There were contradictory findings related to gender differences in growth stunting and factors that reinforce/facilitate or inhibit acquisition of optimum growth in children. Theme of parenting practices showed that time spent on childcare, traditional beliefs about child-care feeding and responsive feeding were also contributing factors. Amidst economic improvement, political, social changes, and worldwide execution of various nutritional programs, stunting continues to be relentlessly persistent and widespread in Asia. Undernutrition disturbs areas of the mind involved in reasoning, reminiscence, locomotor skills and also an adverse influence on the physical and psychological growth of children and ensuing learning capabilities. Stunted children have more anxiety and depression and lower self-esteem than non-stunted children. A public health strategy is required to: (i) properly examine stunting with time through collaborated efforts of community members and various sectors, (ii) tackle malnutrition with steps to enhance maternal nutrition during pregnancy, infant feeding practices and (iii) involvement of effective multi-sectoral partnership programs for management of stunting.

Income and education disparities in childhood malnutrition: a multi-country decomposition analysis

INTRODUCTION

Childhood malnutrition is a complex issue with a range of contributing factors. The consequences of malnutrition are severe, particularly for children. This study aims to identify the factors contributing to inequality gaps in childhood malnutrition. Our study provides insights into modifiable elements to inform interventions targeted at distinct contexts and populations to improve child nutrition.

METHODS

This study utilized data from the Demographic and Health Surveys (DHS) of 27 countries. First, the risk differences (RDs) between the prevalence of childhood malnutrition among the determinant variables, household income, and maternal education categories were calculated. The Blinder‒Oaxaca decomposition was subsequently used to determine the extent to which the difference in childhood malnutrition prevalence between low-income and high-income groups and maternal education levels results from the contributory effects of the explanatory variables: child and maternal individual-level compositional factors.

RESULTS

We examined data from 138,782 children in 27 countries from 2015 to 2020. The prevalence of childhood malnutrition (10.5%) varied across countries, ranging from 6.5% in Burundi to 29.5% in Timor Leste. On average, the prevalence of childhood malnutrition was 11.0% in low-income households and 10.7% among mothers without education. Some nations had pro-low-income (i.e., malnutrition concentrated among children from poor households) or pro-no-maternal education (i.e., malnutrition concentrated among children from mothers with no formal education) inequality in childhood malnutrition, but most did not. We found a complex interplay of compositional effects, such as the child's age, maternal education, maternal health behavior, and place of residence, that influence the inequality in childhood malnutrition rates across 10 pro-low-income countries. In addition, we also found that a complex mix of compositional effects, such as the household wealth index, maternal health behavior, and maternal age, contribute to childhood malnutrition inequality between educated and uneducated mothers across the 7 pro-no maternal education countries.

CONCLUSION

The prevalence of childhood malnutrition varies among low-income, high-income, and no maternal education-maternal education groups. This study highlights the need for a country-specific approach to addressing childhood malnutrition, with policies and interventions tailored to each country's specific context.

Underweight and associated factors among children under age of five in low and lower-middle income African countries: hierarchical analysis of demographic and health survey data

Introduction

Globally, nearly half of all deaths among children under the age of five are linked to undernutrition. These tragic outcomes are most prevalent in low- and middle-income countries. The far-reaching impact of malnutrition affects not only individuals but also their families, communities, and entire nations. By examining underweight, we gain valuable insights into the intricate network of factors influencing child health. Therefore, this study aims to assess underweight prevalence and its associated factors among under-five children in low and lower-middle-income African countries.

Method

We conducted a secondary analysis of standard demographic and health surveys in 30 low and lower-middle-income African countries spanning from 2012 to 2022. Our analysis included a total sample of 200,655 children under the age of 5 years. We employed a three-level hierarchical model to assess the determinants of underweight among children in this age group. Measures of association were evaluated using adjusted odds ratios with a 95% confidence interval. Explanatory variables with a p-value less than the level of significance (0.05) were considered statistically significant.

Result

The pooled prevalence of underweight among children under the age of five in low and lower-middle income African countries was estimated at 17.60%, with a 95% confidence interval (CI) ranging from 17.44 to 17.77%. The hierarchical analysis identified several factors significantly associated with underweight, including male gender, birth size, maternal body mass index, maternal educational level, household wealth index, antenatal care (ANC) visits, community poverty level, and income level of countries.

Conclusion

The high prevalence of underweight among children under the age of five in low and lower-middle income African countries underscores the need for targeted interventions. By addressing individual, community, and country-level factors, we can work toward improving child nutrition and well-being.

Determinants of severe acute malnutrition among under-five children in Ethiopia: analysis using data from the 2016 Ethiopia Demographic and Health Survey

Objective

Malnutrition is a silent killer that is under-reported, under-addressed, and, as a result, emphasized. This study aimed to identify the determinants of severe acute malnutrition (SAM) among under-five children in Ethiopia.

Methods

Cross-sectional data from the 2016 Ethiopian Demographic and Health Survey (EDHS) were used. A total of 6,170 under-five children were included in the current analysis. The data were cleaned and analyzed using STATA 14. An adjusted odds ratio (AOR) and their 95% confidence intervals (CIs) were calculated to determine the association between factors and outcomes. A p-value of less than 0.05 was considered significant in multivariable logistic regression.

Results

A multivariable logistic regression revealed that under-five children with the age of children in months 6-11 (AOR = 1.52, 95% CI: 1.25, 1.86), 12-23 (AOR = 1.98, 95% CI: 1.65, 2.37), and 24-59 months (AOR = 1.71, 95% CI: 1.40, 2.08), birth order between fourth and fifth (AOR = 1.24, 95% CI: 1.01, 1.54), having fever (AOR = 1.31, 95% CI: 1.09, 1.58), anemic children (AOR = 1.21, 95% CI: 1.07, 1.36), age of mothers in years 25-34 (AOR = 0.60, 95% CI: 0.51, 0.72) and 35-49 (AOR = 0.49, 95% CI: 0.39, 0.63), antenatal care (ANC) visits (AOR = 0.83, 95% CI: 0.71, 0.92), rural residence (AOR = 2.98, 95% CI: 2.54, 3.49), and solid fuels users (AOR = 2.46, 95% CI: 1.86, 3.26) were significant predictors.

Conclusion

Older age of children, those with higher birth order, those having fever, anemic children, those living in rural areas, and solid fuel users were more likely to suffer from SAM, while older mothers and those having ANC visits had reduced SAM as significant predictors.

A Systems Approach in the Prevention of Undernutrition among Children under Five in Tanzania: Perspectives from Key Stakeholders

Undernutrition among under-fives is one of the major public health challenges in Tanzania. However, there are limited studies assessing the contribution of cultural-related strategies in the prevention of child undernutrition in Tanzania. This study aimed at exploring participants' experiential views regarding developing culturally sensitive strategies for the elimination of child undernutrition for under-fives in Rukwa, Iringa, Ruvuma, Songwe and Njombe regions located in the Southern Highlands in Tanzania. This study applied focus group discussions (FGDs) with forty practitioners to explore culturally-sensitive strategies for effectively preventing child undernutrition in Tanzania. The study participants were purposively selected, and thematic analysis was used to identify themes within the data. This study revealed that district- and lower-level administrative systems should prioritize nutrition interventions in their plans, allocating adequate resources to implement culturally sensitive nutrition interventions, while national-level organs need to strengthen institutional capacity and ensure the availability of funds, skilled human resources and a legal framework for the effective implementation and sustainability of nutrition interventions at the district- and lower-levels. This study highlights that for the successful implementation of culturally sensitive strategies towards the elimination of child undernutrition, there is a need to use a systems approach that allows for collaborative governance whereby different sectors act together to address the persistent malnutrition epidemic.

Adolescent pregnancy is associated with child undernutrition: Systematic review and meta-analysis

Adolescent pregnancy is associated with poor fetal growth and development which, in turn, increases the risk of childhood wasting and underweight. However, evidence on how young maternal age affects childhood anthropometry beyond the neonatal period is limited. This systematic review and meta-analysis examined associations between adolescent pregnancy and child wasting and underweight and explored potential underlying social and biological factors. Peer-reviewed literature published in English since 1990 was systematically searched. Eligible studies presented data on wasting and/or underweight in children (≤59 months) born to adolescent mothers (10-19, or ≤24 years where applicable) from low- and middle-income countries. Data extraction used a predefined extraction sheet. Both meta-analysis and qualitative synthesis were performed. Of 92 identified studies, 57 were included in the meta-analysis. The meta-analysis showed that children born to adolescent versus adult mothers were at a higher risk of moderate (odds ratio [OR]: 1.12, 95% confidence interval [CI]: 1.00-1.26 p = 0.04) and severe underweight (OR: 1.21, 95% CI: 1.08-1.35 p < 0.01). Associated risk of wasting was not statistically significant: (OR: 1.05, 95% CI: 0.98-1.12 p = 0.17); severe wasting (OR: 1.16, 95% CI: 0.68-1.96 p = 0.59). These findings were supported by the qualitative synthesis. Evidence on the potential role of biological/social factors was limited, but suggested an intermediary role of maternal nutritional status which warrants further exploration. Particularly in contexts where adolescent pregnancy remains common, interventions to both delay adolescent pregnancy and improve adolescent nutritional status could help reduce the risk of undernutrition in children and contribute to breaking the intergenerational cycle of malnutrition.

Understanding the national evidence on the double burden of malnutrition in Ethiopia for the implications of research gap identifications: a scoping review

BACKGROUND

Owing to the unavoidable consequences of nutritional transition, the double burden of malnutrition (DBM) is an emerging public health problem. An increasing number of studies have found that Ethiopians face a DBM. However, country-level evidence has not yet been summarised using a scoping review study design.

OBJECTIVE

The main objective of this review was to map the national evidence on DBM in Ethiopia for the implications of research gap identifications.

ELIGIBILITY CRITERIA

The population, concept and context approach was used. All age groups, box sexes, all dates of publication and articles in English language focused on DBM conducted in Ethiopia were included.

SOURCES OF EVIDENCE

Primary research articles, systematic reviews, meta-analyses and scoping reviews searched from electronic databases such as PubMed, ScienceDirect, Cochrane Library, Wiley Online Library, Google Scholar and Google were the sources of evidence.

CHARTING METHODS

The Joanna Briggs Institute Reviewer's manual was used as a review methodology. The authors, publication year, region, study design, sample size, population group, measured outcomes and main findings were charted in a table.

RESULTS

A total of 35 articles met the inclusion criteria among 124 426 participants. The average summarised prevalence of DBM was 33.6%, with the average proportions of undernutrition and overnutrition at 21.5% and 12.1%, respectively. The major factors that influenced the DBM were categorised as child, maternal, adolescent, household and adult-related factors.

CONCLUSION

In Ethiopia, the overall prevalence of DBM is high, which makes one-third of the population affected by DBM. The foremost determinant factors that influenced the DBM were characterised as child, maternal, adolescent, household and adult-related factors. Therefore, a double-duty interventions should be used to address DBM, considering multilevel factors at the individual, community and societal levels.

PROTOCOL REGISTRATION

This review was registered on the figshare website on 28 February 2021, with DOI number https://doi.org/10.6084/m9.figshare.14131874. The review protocol was published with a DOI number http://dx.doi.org/10.1136/bmjopen-2021-050805.

The prevalence and multilevel analysis of minimum dietary diversity intake and its determinants among 6-23 months old infants in The Gambia: further analysis of the Gambian demographic and health survey data

BACKGROUND

Poor infant and young child feeding (IYCF) practices are a significant issue both globally and in developing nations, and they have a significant role in undernutrition, healthy growth, and development, particularly in the first 2 years of life. Improving children's general health and wellbeing requires recognizing and decreasing preventable drivers of malnutrition. Hence, this study aimed to assess the prevalence and possible determinants of minimum dietary diversity among 6-23 months old babies in the Gambia.

METHODS

Data from the 2019-2020 Gambia demographic and health survey were used. The study included a total of 2100 weighted 6-23 months old children. To identify characteristics significantly linked with minimum dietary diversity among infants, a multilevel fixed-effect analysis approach was used. After adjusting other confounding variables, variables with a p value of 0.25 were incorporated into a multivariable multilevel regression analysis to determine associated variables. An adjusted odds ratio with a 95% confidence interval was then applied.

RESULTS

Only 22.22% (95% CI 18.55, 21.99) of infants had received the minimum dietary diversity. Mothers, who had mass media exposure (aOR = 2.71, CI = (1.02, 6.21), wealthier (aOR = 1.70, CI = 1.02, 2.85), child age of (aOR = 4.14, CI = 2.98, 5.76), and (aOR = 4.97, CI = 3.54, 6.98), have shown a positive statistical association with the outcome variable, respectively. Regarding regions mothers who came from Kanifing (aOR = 0.49, CI = 0.25, 0.94), Janjanbureh (aOR = 0.38, CI = 0.18, 0.82), and Basse (aOR = 0.51, CI = 0.26, 0.99) had showed less likelihood odds to provide the minimum dietary diversity (MDD) for their babies compared to Banjul local government area, respectively.

CONCLUSION

The World Health Organization dietary evaluation tool suggests that the MDD value be extremely low, even though it might be slightly higher than the numbers for some nations. The country may need to take drastic measures to tackle child malnutrition.

The Relationship Between Personal Factors, Smoke Exposure at Home, and Respiratory Problems in Early Childhood in Nakhon Si Thammarat Province, Thailand

Purpose

The purpose of this study was to examine the relationship between personal factors, smoke exposure at home, and respiratory problems in early childhood in Nakhon Si Thammarat Province, Thailand.

Samples and Methods

This study was retrospective. There was a total of 414 samples in the study. The instruments included the questionnaire about the personal data of early childhood and their caregivers, the smoke exposure assessment form, and the early childhood respiratory problem assessment form. The relationship between personal factors, smoke exposure at home, and respiratory problems in early childhood was analyzed by the Chi-squared test and binary logistic regression.

Results

The results revealed that smoke exposure at home in early childhood was moderate (52.2%). There 68.8% had respiratory problems. The relationship between birth weight, and smoke exposure at home in early childhood was found to be significantly related to respiratory problems (X2 =5.014 p< 0.05 and X2 = 85.711 p< 0.001, respectively). It was found that children with a birth weight ≤2500g had respiratory problems at 2.55 times of the samples with birth weight >2500g (AOR = 2.55, 95% CI: 1.10-5.96), and moderate-high smoke exposure had respiratory problems at 8.86 times of the samples with low smoke exposure (AOR = 8.86, 95% CI: 5.39-14.60). Nutritional status and breastfeeding were not significantly related to respiratory problems in early childhood p > 0.05.

Conclusion

The birth weight and smoke exposure at home factors were found to be related to their respiratory problems in early childhood. Thus, it is necessary to reduce stimuli, especially smoking at home. Moreover, the standard birth weight of their early childhood will reduce the rate of respiratory problems.

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.

Nutritional status of children under five years and associated factors in 24 districts of Burkina Faso

Malnutrition in children is a serious health problem, especially in Sub-Saharan Africa, with heavy socioeconomic burdens. The prevalence of stunting remains high in Burkina Faso. There is a need to further investigate undernutrition and identify the major factors contributing to its persistence. We aimed to assess the nutritional status of children aged under five years and the associated factors of undernutrition in Burkina Faso. We conducted a second study using a baseline household survey of the impact assessment of a performance-based financing program. The analysis focused on data of 10,032 children aged 0-59 months collected from households in 537 villages. Anthropometric indicators were assessed using the World Health Organization standards, and their association with children, mothers, and households' characteristics were assessed using logistic regression. Stunting occurred in 40.1% of children, wasting in 25.1%, and underweight in 34%. Children having both stunting, wasting, and underweight were 7.3%. Stunting and underweight was associated with the sex. Stunting was associated with ethnic groups: Fulani with AdjOR = 1.20 (95%CI: 1.01-1.42), household economic level: poorest AdjOR = 1.25 (95%CI: 1.10-1.43), two and more children aged under five years in households: AdjOR = 1.16 (95%CI: 1.05-1.27), distance more than 5km from household to health facility: with Adj OR = 1.21 (95%CI: 1.10-1.35) and household food insecurity. This study identified the modifiable factors that determine the high prevalence of undernutrition in Burkina Faso. Strategies and interventions to improve the health and economic status of the community are needed to reduce the occurrence of undernutrition.

Analysis of the nutritional status in the Palestinian territory: a review study

Background

Food insecurity, occupation, and poverty contribute to the poor nutritional status of Palestine. This review study aimed to analyze the nutritional status in the Palestinian Territory by analyzing published data from 2011 to 2023.

Method

Searching for relevant publications yielded 67 studies. Based on reviewing these studies, five major themes were identified: low birth weight, breastfeeding, obesity and overweight, protein-energy malnutrition, and micronutrient deficiency.

Results

Based on the review of these studies, five major themes were identified, namely, low birth weight, breastfeeding, obesity and overweight, protein-energy malnutrition, and micronutrient deficiency. Based on the literature, the prevalence rate of exclusive breastfeeding was 24.4% in the Gaza Strip, compared to a national rate of 39.9% in 2020. Smoking, anemia in mothers, diet during pregnancy, and indoor pollution were associated with low birth weight. One-fifth of the boys and girls were stunted by 2 years of age in the Gaza Strip, and girls were more stunted than boys. The prevalence rates of underweight, overweight, and obesity among school children in the West Bank were 7.3%, 14.5%, and 15.7%, respectively. Age, gender, and living area were significant predictors of being overweight among school children. The prevalence rates of overweight and obesity among adults in Palestine were 57.8% and 26.8%, respectively. Obesity is associated with a family history, chronic diseases, and low physical activity among adults. Exclusive breastfeeding was below the WHO recommendations, while significant rates of obesity and overweight were found among children and adults. Iron-deficiency anemia (IDA) among pregnant women and children remains a challenging public health issue, while other micronutrient deficiencies are high among children.

Conclusion

This review emphasizes the need for multi-sectoral interventions to address malnutrition and nutritional shifts. It identifies gaps and addresses nutrition-related issues in the Palestinian Territory, which can serve as a basis for guiding United Nations agencies and governments in formulating evidence-based policies and strategies for prioritizing nutritional interventions to meet sustainable development goals.

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.

Determinants of stunting among children under age five in Burundi: Evidence from the 2016-2017 Burundi Demographic and Health Survey (BDHS 2016-17)

Burundi has one of the highest prevalence of stunting in the world. This study aimed to identify determinants of stunting among children under age five in Burundi. A total of 4993 children with anthropometric measurements from the 2016-2017 Burundi Demographic and Health Survey were included in the study. Stunting was assessed from the height-for-age Z-scores (HAZ). Logistic regression models were analyzed to identify demographic, maternal, child-related, and structural variables that influence stunting. In total, 56.9% of children under age five were stunted, of those 31.0% moderately and 25.9% severely. Multivariable logistic regression indicated that older children, male children (adjusted OR (aOR) = 1.41, 95% CI 1.24-1.61), and children who were perceived as small (aOR = 2.00, 95% CI 1.55-2.59) or very small at birth (aOR = 2.37, 95% CI 1.57-3.59) were significantly more likely to be stunted. Moreover, children of single mothers, with lower levels of education, who were underweight at the time of the survey (aOR = 1.95, 95% CI 1.42-2.68), who had short stature (aOR = 3.76, 95% CI 2.50-5.66) or who conceived more than four children (aOR = 1.22, 95% CI 1.05-1.42) were more commonly stunted. Stunting was more prevalent in rural areas (aOR = 2.53, 95% CI 1.72-3.73) and in households with no access to improved types of toilet facilities (aOR = 1.27, 95% CI 1.10-1.45). The results of this study show that the prevalence of stunting in children under age five in Burundi is alarmingly high and underscores the urgent need for decisive and determined action.

High-risk fertility behaviour and undernutrition among children under-five in sub-Saharan Africa: a cross-sectional study

OBJECTIVE

The study examined high-risk fertility behaviour and its association with under-five undernutrition in sub-Saharan Africa (SSA).

DESIGN

We conducted a cross-sectional analysis of data from 32 sub-Saharan African countries' Demographic and Health Surveys. A weighted sample of 110 522 mother-child pairs was included in final analysis. Multilevel binary logistic regression was used to examine the association between high-risk fertility behaviour and undernutrition. The results were presented using adjusted odds ratio (aOR) with their respective 95% confidence intervals (CIs).

SETTING

Thirty-two countries in SSA.

OUTCOME MEASURE

Stunting, wasting, and underweight.

RESULTS

The pooled prevalence of stunting was 31.3%, ranging from 15.0% in Gabon to 51.7% in Burundi. Wasting was highest among children from Burkina Faso (19.1%) and lowest among those from South Africa (1.6%). The overall prevalence of wasting was 8.1%. The prevalence of underweight was 17.0%, with the highest among children in Niger (37.1%) and lowest in South Africa (4.8%). Mothers who gave birth at the age less than 18 years and those with short birth interval were more likely to have their children being stunted, wasted, and underweight. The odds of stunting and wasting were high among children born to women with high parity. However, maternal age at birth more than 34 was associated with lower odds of childhood underweight as against those with age at birth less than 34.

CONCLUSION

Countries in SSA are encouraged to address the issue of maternal age at birth less than 18, high parity, and shorter birth intervals in order to meet the Global Nutrition targets, which aim to achieve a 40% reduction in the number of stunted children under the age of 5 and to reduce and maintain childhood wasting to less than 5% by 2025.

Women's empowerment and nutritional status of children in the Gambia: further analysis of the 2020 Gambia demographic and health survey

Empowering women and the promotion of children's health are key components of the Sustainable Development Goals targeted for achievement by 2030. The survival of young children, which depends on their nutrition, is influenced by an interaction of factors at the household level. This study aims to investigate the association between women's empowerment and undernutrition among children under age 5 using The Gambia Demographic Health Survey (GDHS) 2019-20.Children's undernutrition was measured with two indicators: stunting and underweight. The women's empowerment indicators were educational status, employment, decision making, age at first sex and age at first birth, and acceptance of wife beating. StataSE software Version 17 was used for data analysis. Analyses were cluster-adjusted, sample-weighted, with confounding/moderating variables. Descriptive statistics and cross-tabulations were computed for all variables. Bivariate and multivariate analysis of the outcomes and women's empowerment were conducted.The prevalence of stunting and underweight among the children under age 5 was 17% and 12%, respectively. The results of the multiple logistic regression show that women with no education had 51% (OR = 1.51; 95% CI = 1.11-2.07; p = 0.009), and 52% (OR = 1.52; 95% CI = 1.06-2.14; p = 0.022) greater odds of having children under age 5 who were stunted or underweight compared to those women with primary and higher level of education, respectively. Mothers with a body mass index classified as thin were associated with an increased odds of having stunted (OR = 1.44; 95% CI 1.01-2.05; p = 0.033) and underweight (OR = 1.69; 95% CI = 1.58-3.52; P < 0.001) children. In addition, women who reported accepting wife beating had 69% (OR = 1.69; 95% CI 1.22-2.35; p = 0.002) and 66% (OR = 1.66; 95% CI 1.15-2.40; p = 0.006) greater odds of having stunted and underweight children respectively compared to those who did not accept wife beating.In conclusion, the result of this study shows that women's empowerment is associated with undernutrition among children under age 5 in The Gambia. This is suggesting that implementing policies and interventions that increase the empowerment of women will contribute to the improvement of child nutrition in the country.

Determinants of nutritional status among primary school students in Dilla Town; Application of an ordinal logistic regression model

Background

One of the most frequent reasons for children's poor physical and mental development is malnutrition, becoming a more significant issue in most developing nations, including Ethiopia. Prior research used multiple anthropometric measurements separately to pinpoint undernutrition concerns in children. However, the impact of each explanatory variable on a single response category was not considered in these investigations. This study used a single composite index of anthropometric parameters to identify the factors affecting elementary school students' nutritional condition.

Methods

In Dilla, Ethiopia, 494 primary school students took part in a cross-sectional institutional survey during the 2021 academic year. Principal component analysis was used to create a single composite measure of nutritional status using z-scores for the anthropometric indices of height-for-age and body mass index-for-age. The relative effectiveness of a partial proportional odds model was compared with several other ordinal regression models to identify the important variables for children's nutritional status.

Results

27.94% of primary school students were undernourished (7.29% severely and 20.65% moderately). According to the fitted partial proportional odds model, the mother's education level (secondary or higher) was positively correlated with the nutritional status of primary school students, given that in this case the students ate three or more times per day and had a high dietary diversity score (OR = 5.94; CI: 2.2-16.0). Nevertheless, there was a negative correlation between larger family size (OR = 0.56; CI: 0.32-0.97), unprotected groundwater (OR = 0.76; CI: 0.6-0.96), and severely food insecure households (OR = 0.3; CI: 0.14-0.68).

Conclusion

In Dilla, Ethiopia, undernutrition among primary school students is a serious issue. It is essential to implement nutrition education and school feeding programs, improve drinking water sources, and boost the community's economy to alleviate the problems.

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.

Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017-2018)

The objective of the current study is to identify the risk factors for malnutrition among the age of under-five children's in Pakistan. This is secondary data analysis for the data taken from Pakistan Demographic and Health Survey (PDHS 2017-18) and was analyzed by implementing quantile regression analysis. The sample size included 12,708 alive children in the study, for which the data collection period was from November 22, 2017, to April 30, 2018. The prevalence of malnutrition among boys is high (51.2%). Older age mother's children have more prevalence of malnutrition (20.7%). A child born with small body size (underweight: Q_0.25: - 0.625; Q_0.50: - 0.623; Q_0.75: - 0.426 and wasting: Q_0.50: - 0.513); having uneducated mother (underweight: Q_0.25: - 0.387; Q_0.50: - 0.247; Q_0.75: - 0.328), belonged to a poor household (underweight: Q_0.50: - 0.251),residing in rural areas (underweight: Q_0.25: - 0.443), not following properly breastfeeding practices (underweight: Q_0.50: - 0.439; Q_0.75: - 0.438) have negative effect on different measures of malnutrition and this effect is significantly raises across different quantiles of stunting , wasting and underweight (at p value < 0.01 and < 0.05). Older age mother (stunting: Q_0.50: 0.777; Q_0.75: 1.078; underweight Q_0.20: 0.568; Q_0.50: 0.429; Q_0.75: 0.524) and higher birth order number (stunting: Q_0.50: 0.415; Q_0.75: 0.535), have a positive effect on three measures of under-nutrition and this effect is gradual raises at different quantile of stunting, wasting and underweight. Elder and smoker mothers were proved associated risk factors of both stunting and being underweight in Pakistan. Moreover, Proper breastfeeding practices, better economic status, average or above the average birth weight of the child, and milk consumption are found protective factors against stunting, wasting, and underweight children in Pakistan.

Individual and contextual factors associated with childhood malnutrition: a multilevel analysis of the double burden of childhood malnutrition in 27 countries

BACKGROUND

Malnutrition is a key global health challenge and a major contributor to childhood morbidity and mortality. In recent times, the contrasting coexistence of undernutrition including micronutrient deficiencies and overweight/obesity called double burden of malnutrition has been noted at individual, household or population level and/or at different times in life. The objective of this study was to examine individual, neighborhood and country level factors that are associated with the double burden of childhood malnutrition.

METHODS

We conducted multivariable multilevel logistic regression analyses on the most recent demographic and health datasets from surveys conducted between 2015 and 2020 in low- and middle-income countries. We analyzed data of 138,782 children (level 1) living in 13,788 communities (level 2) from 27 countries (level 3).

RESULTS

The results of our analysis show variation in childhood malnutrition across the 27 countries from as low as 6.5% in Burundi to as high as 29.5% in Timor Leste. After adjusting for all level factors, we found that those who were wasted/overweight tended to have had an episode of diarrhea or fever in the last two weeks preceding the survey, were part of a multiple birth, were being breastfed at the time of the survey and born to mothers with more than one under 5-child resident in neighborhoods with high illiteracy and unemployment rates. The intra-neighbourhood and intra-country correlation coefficients were estimated using the intercept component variance; 44.3% and 21.0% of variance in odds of double burden of childhood malnutrition are consequent upon neighborhood and country level factors respectively.

CONCLUSIONS

Evidence of geographical clustering in childhood malnutrition at community and country levels was found in our study with variability due to neighborhood level factors twice that of country level factors. Therefore, strategies in tackling the double burden of malnutrition must consider these shared drivers, contextual barriers and geographical clustering effects.

Impact of Drinking Water Source and Sanitation Facility on Malnutrition Prevalence in Children under Three: A Gender-Disaggregated Analysis Using PDHS 2017-18

OBJECTIVES

The proposed research studied the determinants of male and female child malnutrition in Pakistan. More specifically, it observed the role of the sanitation facility and drinking water source as important determinants of malnutrition in a gender analysis.

METHODS

Novel data of 1010 children under three years of age from PDHS 2017-18 were used. A CIAF (Cumulative Index for Anthropometric Failure) was established to assess malnourishment in the children. Discrete-choice logistic methodology was applied in this empirical research to study the likelihood of malnourishment in children.

RESULTS

The logistic regression results depicted that factors such as a child belonging to a deprived area, the status of home wealth, and the education of the mother were common determinants of malnutrition in children. Factors such as a child having diarrhea (OR = 1.55, CI = 0.96-2.50) and the drinking water source (OR = 0.62, CI = 0.37-1.03) were separate prominent predictors of malnutrition in male children whereas the sanitation facility was the main determinant of malnutrition in female children (OR = 0.64, CI = 0.43-0.95).

CONCLUSION

This study concludes that important links exist between the drinking water source and male child malnutrition and between sanitation facilities and female child malnutrition.

Magnitude of under-nutrition among under five children in Ethiopia based on 2019 Mini-Ethiopia Demographic and Health Survey: Generalized Linear Mixed Model (GLMM)

INTRODUCTION

Malnutrition is a major public health problem that is experienced by many developing countries, like Ethiopia. Though some studies were conducted to identify the magnitude and determinants of acute malnutrition among under-five children, there is a lack of evidence that is representative of all children in Ethiopia. Hence, this national-level data could be representative of all targets and provide us with updated information on the nation-wide magnitude of nutritional status among children under the age of five in Ethiopia.

METHODS

This study used data from the 2019 Mini-Ethiopia Demographic and Health Survey (EDHS). Children aged 0-59 months with anthropometry data were included. Data processing and analysis were performed using STATA 15 software. Cross-tabulations and summary statistics were done to describe the study population. Generalized Linear Mixed Models (GLMMs) were used to estimate the association between nutritional status and explanatory variables and were expressed as an odds ratio with a 95% confidence interval (CI). Model comparison was done based on Akaike and Bayesian information criteria (AIC and BIC).

RESULTS

The magnitude of stunting was 37.71% [95%CI: 36.35-39.08], while the magnitude of wasting was 7.14% [95%CI: 6.52-7.91]. Living in Tigray [AOR = 2.90, 95%CI: 2.05-4.11], Amhara [AOR = 1.98, 95%CI: 1.41-2.79], having a child aged 24-35 [AOR = 3.79, 95%CI: 3.07-4.68], and being a rural resident were all significantly associated with stunting. Being born in Tigray [AOR = 1.75, 95% CI: 1.02-3.01], being born into the richest family [AOR = 0.74, 95% CI: 0.27-0.80], and being born from mothers aged 25-29 [AOR = 0.73, 95% CI: 0.55-0.96] were all significantly associated with wasting.

CONCLUSION

The magnitude of stunting and wasting is relatively high in Ethiopia. Region, place of residence, and age of the child were significantly associated with stunting, and region, wealth index, and age of the child were significantly associated with wasting. This result provides a clue to give due consideration to under-five children to mitigate the risks of malnutrition through various techniques.

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.

Associated Factors of Wasting among Infants and Young Children (IYC) in Kuyu District, Northern Oromia, Ethiopia

Wasting among infants and young children in underdeveloped countries including Ethiopia is one of the most serious public health issues. Therefore, this study was designed to assess the magnitude of wasting and the variables that associate with it among infants and young children in the Kuyu district of Northern Oromia, Ethiopia. A community-based cross-sectional study of 612 infants and young children aged 6-23 months was conducted. To select eligible infants and young children from each family in the Kuyu district, a multilevel sampling approach was used. The amount and determinants related to wasting were investigated using the Statistical Package for Social Sciences (SPSS) version 20.0. In the study area, 14.1% of infants and young children were found to be wasting. Maternal educational status (AOR = 1.8, 95% CI; 1.01, 4.32), diarrhoea (AOR = 2.3, 95% CI; 1.98, 4.56), exclusive breastfeeding (AOR = 2.46, 95% CI, 1.4, 4.58), antenatal care visits (AOR = 2.21; 95% CI, 1.32, 3.48), and wealth index (AOR = 1.66, 95% CI; 1.07, 4.47) were significantly associated with wasting. According to the findings of this study, mother educational status, the occurrence of diarrhoea, exclusive breastfeeding, antenatal care visits, and wealth index have an impact on infants and young children's wasting. Therefore, to lower the burden of wasting among infants and young children in the study, community-based schooling and nutritional interventions are urgently needed.

Shared geographic spatial risk of childhood undernutrition in Malawi: An application of joint spatial component model

Objectives

This study aimed at assessing shared spatial risk of childhood undernutrition indicators in Malawi.

Study design

Cross-sectional design.

Methods

The shared spatial component model was fitted to childhood undernutrition indicators, namely: stunting, wasting and underweight, using 5066 child records of the 2015/16 Malawi demographic health survey data. The spatial components were districts, and were modeled by the convolution prior, with the structured components being assigned the conditional autoregressive distribution.

Results

There is significant clustering of shared spatial risk of stunting and wasting (Moran I = 0.464, p-value = 0.009), and wasting and underweight (Moran I = 0.392, p-value = 0.026), and the risk maps show southern districts, followed by central districts being at greater risk of jointly having stunting and wasting, wasting and underweight, compared to the northern region districts. The shared spatial risk of stunting and underweight is randomly dispersed across the country (Moran I = - 0.044, p-value = 0.539).

Conclusion

Interventions to reduce the shared risk of child undernutrition should focus on the southern region districts and those in the central region, and a suggestion is made to address the issue of overpopulation and effects of climate change.

Socio-Economic and Environmental Determinants of Malnutrition in under Three Children: Evidence from PDHS-2018

OBJECTIVES

This research investigates the association of malnutrition with social and economic factors in general and environmental factors in specific such as sanitation facilities and drinking water sources for Pakistan.

METHODS

Authors used the latest data of 1010 Under-Three children from Pakistan Demographic and Health Survey (PDHS) 2017-2018. Cumulative Index of Anthropometric Failure (CIAF) was developed to measure the malnutrition status among children based on z-scores of WHZ, WAZ, and HAZ, respectively. The study has applied the discrete-choice logistic methodology to find the relationship of malnutrition with socio-economic characteristics. The interaction terms of drinking water source and sanitation facility have been measured to see the impact of environmental factors on child malnutrition.

RESULTS

The study results depict that the likelihood of malnutrition increases when the child had diarrhea recently and the child belongs to the deprived region such as KPK, Sind, and Baluchistan. However, the chances of child malnutrition drop with (1) an escalation of mothers' education, (2) a rise in wealth status of the household, and (3) the improved water source and sanitation facility in the household. The only water-improved sanitation category of the interaction term is significant in the model which depicts that households having both improved water and improved sanitation facilities had very fewer chances of malnutrition among their children.

CONCLUSION

Authors conclude that malnutrition in younger children is associated with improved water as well as sanitation facilities, maternal education, and household wealth in Pakistan.

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.

Trends and Determinants of Underweight among Children under Five Years in Ethiopia: Further Analysis with Ethiopian Demographic and Health Survey 2005-2016-Multivariate Decomposition Analysis

Background

Underweight is one of the paramount major worldwide health problems, and it traces a big number of populations from infancy to old age. This study aimed to analyze the trends and predictors of change in underweight among children under five years in Ethiopia.

Method

The data for this study were accessed from three Ethiopian Demographic and Health Survey data sets 2005, 2011, and 2016. The trend was examined separately for the periods 2005–2011, 2005–2016, and 2011–2016. Multivariate decomposition analysis of change in underweight was employed to answer the major research question of this study. The technique employed the output from the logistic regression model to parcel out the observed difference in underweight into components, and STATA 14 was utilized for data management and analysis.

Result

Perceiving the overall trend, the rate of underweight was decreased from 38% in 2005 to 24% in 2016. The decomposition analysis results revealed that, about 12.60% of declines in underweight have been explained by the difference in population characteristics or endowments (E) over the study period. The size of the child at birth, husband's education, women's education, and household wealth index contributed significantly to the compositional decline in underweight.

Conclusion

The magnitude of underweight among children under five years indicates a remarkable decline over the last ten years in Ethiopia. In this study, two-twelfth of the overall decrease in underweight among children under five years over the decade was due to the difference in characteristics between 2005 and 2016. Continuing to educate the population and boost the population's economy is needed on the government side in Ethiopia.

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.

Mapping the national evidence on double burden of malnutrition in Ethiopia: a protocol of scoping review

INTRODUCTION

Currently, the double burden of malnutrition (DBM) is an emerging public health problem due to the inevitable consequences of nutritional transition. An increasing number of studies have reported the DBM in Ethiopian populations. However, organised and summarised national evidence is not yet available. Therefore, the main aim and research question of this scoping review is to map the national evidence on the DBM in the last decades in Ethiopia.

METHODS

This scoping review will be mapping the national evidence on the DBM in different population groups of Ethiopia including all ages and both sexes from 1 January 2021 to 30 September 2021. The Joanna Briggs Institute Reviewer's Manual will be used as the methodology of review for this review. The search strategy will be conducted using electronic databases such as PubMed, ScienceDirect, Cochrane Library, Wiley Online Library, Google Scholar, and grey literature sources and reference lists of key studies to identify studies appropriate for inclusion in the review. Two independent reviewers will be screened independently with all abstracts and full-text studies for inclusion. Data will be abstracted into tables and logically organised according to the items addressed in the specific research questions.

ETHICS AND DISSEMINATION

The data will be used from publicly available secondary sources. Therefore, no ethical review and approval will be required for this review. Dissemination of results will be sought through peer-reviewed publications, conference presentations and stakeholder meetings. Regarding registration, this review protocol is registered on the figshare website on 28 February 2021, with the DOI number https://doiorg/106084/m9figshare14131874.

Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children: Findings from a Community Health Survey

Malnutrition among children is an important public health problem in Pakistan. Conventional indicators (stunting, wasting and underweight) are well known. However, there is a need for aggregate indicators in this perspective. The goal of this study is to assess the prevalence and trends of malnutrition among Pakistani children under the age of five using the so-called composite index of anthropometric failure (CIAF), a tool for calculating the whole aggregate burden of malnutrition. The data were extracted from the Pakistan Demographic and Health Survey 2012-2013. Mothers' education and socioeconomic statuses (SES) were assessed as important factors in malnutrition. Chi-squared analysis was used to check the bivariate association, and multiple logistic regression was used to identify the significant correlates of child malnutrition. Moreover, multiple correspondence analysis (MCA) was applied to strengthen the use of CIAF as an outcome variable. The study looked at 3071 children under the age of five, with 52.2% of them falling into the CIAF. Children of educated mothers had 43% fewer odds of being malnourished (OR (Odd Ratio) = 0.57, 95% CI (Confidence Interval) = 0.44-0.73). Additionally, a decreasing trend in malnutrition was found with increasing SES. There is a need to improve maternal education. Such programs focusing on increasing women's autonomy in making home decisions should be established. Furthermore, long-term interventions for improving home SES and effective nutritional methods should be examined. For policymakers, the use of CIAF is suggested since it provides an estimate of the entire burden of undernutrition.

The effect of timely initiation of complementary feeding and vitamin A supplementation on acute malnutrition among children aged 6-59 months attending Hamusit Health Centre, Northwest Ethiopia, 2021: A cross-sectional study

INTRODUCTION

Acute malnutrition is a nutritional deficiency that results either from inadequate energy or protein intake. It is more prevalent in low- and middle-income countries. Even though efforts have been carried out at the global and national level, the burden is still intolerable and it attracts the attention of the government and researchers. Hence, this study aims to assess the magnitude of acute malnutrition and its associated factors among under-five children who attended Hamusit Health Centre from 1st September to 30th January 2021.

MATERIALS AND METHODS

This institution-based cross-sectional study was conducted from 1st September to 30th January on 404 randomly selected under-five children who visited the health centre. Samples were selected using a simple random sampling technique, and the data were obtained using a pre-tested standardized questionnaire. For data entry and analysis, Epi-info 7 and SPSS 21 applications were used, respectively. Bivariable and multivariable binary logistic regression were used to identify associated factors at a 95% confidence interval. Significance was considered at p-value<0.05.

RESULTS

The present research involved a total of 404 children aged 6-59 months. The magnitude of acute malnutrition in this study was 14.4%. Children aged 6-23 months [AOR: 2.92; 95%CI (1.46, 5.85)], vitamin A supplementation [AOR: 0.49; 95%CI (0.25, 0.95)], not timely initiation of complementary feeding [AOR: 2.02; 95%CI (1.06, 3.82)] and children with diarrhea prior to two weeks of the survey [AOR: 2.47; 95% CI (1.28, 4.87)] were significantly associated with acute malnutrition.

CONCLUSION

A significant number of children aged 6-59 months were affected by acute malnutrition. Younger children, vitamin A supplementation, not timely initiation of complementary feeding, and children with diarrhoea were other factors associated with acute malnutrition.

Machine learning algorithms for predicting undernutrition among under-five children in Ethiopia

OBJECTIVE

Child undernutrition is a global public health problem with serious implications. In this study, we estimate predictive algorithms for the determinants of childhood stunting by using various machine learning (ML) algorithms.

DESIGN

This study draws on data from the Ethiopian Demographic and Health Survey of 2016. Five ML algorithms including eXtreme gradient boosting, k-nearest neighbours (k-NN), random forest, neural network and the generalised linear models were considered to predict the socio-demographic risk factors for undernutrition in Ethiopia.

SETTING

Households in Ethiopia.

PARTICIPANTS

A total of 9471 children below 5 years of age participated in this study.

RESULTS

The descriptive results show substantial regional variations in child stunting, wasting and underweight in Ethiopia. Also, among the five ML algorithms, xgbTree algorithm shows a better prediction ability than the generalised linear mixed algorithm. The best predicting algorithm (xgbTree) shows diverse important predictors of undernutrition across the three outcomes which include time to water source, anaemia history, child age greater than 30 months, small birth size and maternal underweight, among others.

CONCLUSIONS

The xgbTree algorithm was a reasonably superior ML algorithm for predicting childhood undernutrition in Ethiopia compared to other ML algorithms considered in this study. The findings support improvement in access to water supply, food security and fertility regulation, among others, in the quest to considerably improve childhood nutrition in Ethiopia.

Dietary Diversity and Undernutrition in Children Aged 6-23 Months in Sub-Saharan Africa

Dietary diversity plays a major role in the health status of children. However, evidence on its crucial role on children's health status remains inconclusive in sub-Saharan Africa (SSA). In this study, we examined the association between dietary diversity and undernutrition among children aged 6-23 months in SSA. We pooled data from the most recent Demographic and Health Surveys of 32 countries in SSA from 2010 to 2020. A sample of 48,968 mother-child pairs of children within the ages of 6-23 months and mothers aged 15-49 years were included in this study. Multilevel logistic regression analysis was carried out to examine the association between dietary diversity and stunting, wasting, and underweight. The results were presented as crude odds ratios (cOR) and adjusted odds ratios (aOR) with their 95% confidence intervals. Statistical significance was set at p < 0.05. The overall prevalence of minimum dietary diversity was 25.1%, with South Africa recording the highest prevalence (43.9%) and Burkina Faso recording the lowest prevalence (5.6%). The highest prevalence of stunting was recorded by Burundi (51.8%) while the lowest prevalence was found in Ghana (13.6%), with an overall regional prevalence of 28.6%. For wasting, prevalence from all countries was found to be 9.4%. South Africa recorded the lowest prevalence of wasting (2.1%) while Niger recorded the highest prevalence (27.3%). Lastly, the prevalence of underweight ranged from 5.3% in South Africa to 41.8% in Niger, with an all-country prevalence of 16.4%. Children who had adequate minimum dietary diversity had 12% less likelihood of being stunted (aOR = 0.88, 95% CI = 0.83, 0.94), compared to those who had inadequate minimum dietary diversity. Having an adequate minimum dietary diversity significantly lowered the risk of underweight among children by 17% (aOR = 0.83, 95% CI = 0.77, 0.91). Having an adequate minimum dietary diversity was associated with 13% reduced odds of wasting among children (aOR = 0.87, 95% CI = 0.78, 0.97), compared to those who had inadequate minimum dietary diversity. This study highlights the significant association between minimum dietary diversity and stunting, wasting, and underweight among 6-23 month-old children in SSA. There is an urgent need for additional nutrition-specific interventions and strengthening of existing interventions aimed at improving infant and young child feeding practices, including complementary feeding practices among children aged 6-23 months in the 32 countries in SSA. Such interventions should focus more on countries where the prevalence of adequate minimum dietary diversity was low and undernutrition was high.

Do malnutrition, pre-existing morbidities, and poor household environmental conditions aggravate susceptibility to Coronavirus disease (COVID-19)? A study on under-five children in India

BACKGROUND

The novel Coronavirus disease 2019 (2019-nCoV) outbreak, caused by severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2), has become the worst serious global risk to humanity in the last century and linked with various risk factors.

OBJECTIVE

To find out the risk zone associated with Coronavirus disease among children under-five age using malnourished status, pre-existing morbidity conditions, poor household environmental conditions, and also with case fatality rate (CFR) and active case rate (ACR) of COVID-19 in India.

DATA SOURCES & METHODS

Data was collected from the 4th round of the National Family Health Survey (NFHS)-4, 2015-16, and CFR and ACR of COVID-19 related data collected from the Ministry of Health and Family Welfare (MoHFW) on 18th May 2020. Mean, standard deviation, and Z-score statistical methods have been employed to identify the risk factors zone and Hot Spot analysis (Getis-Ord Gi) has been done.

RESULTS

The states and union territories (UTs) which have a high composite vulnerability score (CVS) of COVID-19 among under-five children are in Meghalaya (CVS = 1), Uttar Pradesh (CVS = 0.93), Jharkhand (CVS = 0.86), Bihar (CVS = 0.74), Madhya Pradesh (CVS = 0.74), and Odisha (CVS = 0.55). The states and UTs which have low composite vulnerability score of COVID-19 among under-five children are in Sikkim (CVS = -0.90), Daman & Diu (CVS = -0.76) Lakshadweep (CVS = -0.74), Kerala (CVS = -0.72), Chandigarh (CVS = -0.71). The COVID-19 high-risk zones (hot spot: 99% Confidence interval [CI]) were observed in Madhya Pradesh, Uttar Pradesh, Jharkhand, Bihar, and Meghalaya states of India, which are spatially high clustered and the low-risk zones (cold spot: 95% CI) were observed in Kerala, Mizoram states of India.

CONCLUSIONS

Well-built public health measures, including rapidly searching in high focus areas and testing of COVID-19, should be performed in vulnerable regions of COVID-19.

"We Will Always Ask Ourselves the Question of How to Feed the Family": Subsistence Farmers' Perceptions on Adaptation to Climate Change in Burkina Faso

In West Africa, climate change aggravates subsistence farmers' vulnerability to weather variability to sustain their agricultural and nutritional requirements. For successful adaptation policies, in-depth understanding of farmers' perceptions about climate change, agriculture, and adaptation strategies is essential. This qualitative study in rural Burkina Faso characterized farmers' perceptions and knowledge through in-depth interviews. The study enumerated the barriers, possibilities, strategies/practices, and support sources of farmers. There was awareness but limited understanding of climate change amongst farmers. Those unable to adapt, faced increased health difficulties, specifically regarding nutrition and mental health. Farmers could implement some dietary and agricultural adaptation strategies (reduce meal size, frequency and variety, preemptive purchase of cereals, multi-cropping, crop rotation, modified seeds) but were unable to implement others (soil rehabilitation, water management). Barriers to implementation comprised financial and time constraints, material and labor shortages, and inaccessible information. Farmers did not understand, trust or utilize meteorological services, but appreciated and relied on agricultural extension services. They reported that social and governmental support was sporadic and inconsistent. This study uncovers the following targets for climate change adaptation policies in rural Burkina Faso: promoting meteorological services, expanding agricultural extension services, increasing access to financial resources, and framing sustainable adaptation within national development goals.

The effect of access to water, sanitation and handwashing facilities on child growth indicators: Evidence from the Ethiopia Demographic and Health Survey 2016

INTRODUCTION

Poor access to water, sanitation, and handwashing (WASH) facilities frequently contribute to child growth failure. The role of access to WASH facilities on child growth outcomes in Ethiopia is largely unknown. The aim of this study was to determine individual and combined effects of access to WASH facilities on child growth outcomes.

METHODS

Data for this analysis was sourced from the recent Ethiopia Demographic and Health Survey (EDHS) 2016. A multivariable logistic regression model was applied to identify the separate and combined association of access to WASH facilities with child growth outcomes. Odds ratio (OR) and 95% confidence interval (CI) were estimated. Statistical significance was declared at p < 0.05.

RESULTS

Included in the analyses were data for children 0-59 months of age, which amounted to valid data for 9588 children with a height-for-age z-score (HAZ), 9752 children with a weight-for-age z-score (WAZ) and 9607 children with a weight-for-height z-score (WHZ). Children with access to improved combined sanitation with handwashing facilities had 29% lower odds of linear growth failure (stunting) (adjusted odds ratio (AOR) = 0.71; 95% CI: 0.51-0.99) compared with those with unimproved. Children with access to combined improved WASH facilities were 33% less likely to have linear growth failure (AOR = 0.67; 95% CI: 0.45-0.98). Access to improved handwashing alone reduced the odds of being underweight by 17% (AOR = 0.83; 95% CI: 0.71-0.98) compared with unimproved. Improved water and sanitation separately as well as combined WASH were not associated with decreased odds of underweight and wasting.

CONCLUSIONS

Combined access to improved water, sanitation and handwashing was associated with reduced child linear growth failure. Further research with robust methods is needed to examine whether combined WASH practices have synergistic effect on child growth outcomes.

The burden and correlates of childhood undernutrition in Tanzania according to composite index of anthropometric failure

Background

Undernutrition is a public health problem worldwide. Tanzania has made significant achievements in the reduction of childhood undernutrition over the past two decades. However, the exact burden of undernutrition was under-estimated when using conventional indices of stunting, wasting and underweight. The objective of this study was to determine the overall prevalence of undernutrition, describe the trends and examine the correlates associated with undernutrition among children under-five years using the composite index of anthropometric failure (CIAF). This study aims to understand the real burden and drivers of undernutrition to improve design, implementation and monitoring of appropriate interventions to ameliorate all form of childhood undernutrition in the country.

Methods

About 37,205 mother-child pairs were retrieved and analyzed from the Tanzania Demographic and Health Surveys (TDHS) conducted in various years from 1991, 1996, 1999, 2004–05, 2009–10, to 2015–16. The anthropometric data of children under-five years were used to determine the overall burden and trends of undernutrition using CIAF. The recent TDHS surveys from 2005 to 2015 were used to examine the correlates of CIAF. To determine the correlates, multivariate analysis was conducted to estimate the prevalence ratios (PR) with 95% confidence intervals (CI) using Poisson regression with robust variance.

Results

The prevalence of CIAF declined significantly from 50% in 1991 to 38.2% in 2015 (p < 0.001). The correlates of CIAF vary across surveys. The multivariate analysis of recent 2015 survey revealed that the prevalence of CIAF was significantly higher for older children (p < 0.001), children living in rural areas (p = 0.028), and those born with non-educated (p = 0.009) or single mothers (p = 0.008). The prevalence of CIAF was significantly lower for girls (p < 0.001), being born with overweight/obese mothers (p < 0.001), living with older head of the household (p < 0.001) or living in richest household (p < 0.001). Moreover, children who were born with low birth weight (p < 0.001), or having fever (p = 0.044) were most likely to have anthropometric failure. However, consumption of diversified diet was not found to be associated with anthropometric failure (p > 0.05).

Conclusion

About one in every three under-five years children are suffering from either one or multiple forms of anthropometric failure in Tanzania. There is a significant decline trends in overall burden of undernutrition in Tanzania from the past 25 years, as measured by CIAF. Multiple factors including those related to mothers, children and household socio-economic characteristics have the potential to influence childhood undernutrition. Efforts to reduce the burden of undernutrition should mainly focus on reducing poverty and raising people’s living standards.

Factors associated with concurrent wasting and stunting among children 6-59 months in Karamoja, Uganda

Children with concurrent wasting and stunting (WaSt) and children with severe wasting have a similar risk of death. Existing evidence shows that wasting and stunting share similar causal pathways, but evidence on correlates of WaSt remains limited. Research on correlates of WaSt is needed to inform prevention strategies. We investigated the factors associated with WaSt in children 6–59 months in Karamoja Region, Uganda.

We examined data for 33,054 children aged 6–59 months using June 2015 to July 2018 Food Security and Nutrition Assessment in Karamoja. We defined WaSt as being concurrently wasted (weight‐for‐height z‐scores <−2.0) and stunted (height‐for‐age z‐score <−2.0). We conducted multivariate mixed‐effect logistic regression to assess factors associated with WaSt. Statistical significance was set at p < 0.05.

In multivariate analysis, being male (adjusted odds ratio [aOR] = 1.79; 95% confidence interval [CI] [1.60–2.00]), aged 12–23 months (aOR = 2.25; 95% CI [1.85–2.74]), 36–47 months (aOR = 0.65; 95% CI [0.50–0.84]) and 48–59 months (aOR = 0.71; 95% CI [0.54–0.93]) were associated with WaSt. In addition, acute respiratory infection (aOR = 1.30; 95% CI [1.15–1.48]), diarrhoea (aOR = 1.25; 95% CI [1.06–1.48]) and malaria/fever (aOR = 0.83; 95% CI [0.73–0.96]) episodes were associated with WaSt. WaSt was significantly associated with maternal underweight (body mass index <18.5 kg/m²), short stature (height <160 cm), low mid‐upper arm circumference (MUAC <23 cm) and having ≥4 live‐births. WaSt was prevalent in households without livestock (aOR = 1.30; 95% CI [1.13–1.59]).

Preventing the occurrence of WaSt through pragmatic and joint approaches are recommended. Future prospective studies on risk factors of WaSt to inform effective prevention strategies are recommended.

Dietary habits associated with growth development of children aged < 5 years in the Nouna Health and Demographic Surveillance System, Burkina Faso

Background

Knowing which dietary habits are associated with child growth could lead to better long-term health outcomes and improve the design of food-based interventions. We aimed to identify dietary habits that are associated with the growth development of children aged < 5 years living in rural Burkina Faso.

Methods

This study used cross-sectional baseline data from 514 children (8–59 months) within the Nouna Health and Demographic Surveillance System (HDSS) in 2018. Household socio-demographics and child dietary habits, height and weight were assessed. We constructed scores for dietary diversity (DDS) and food variety (FVS), and extracted exploratory dietary pattern scores (DPS) using principal component analysis (PCA). Child growth was measured using height-for-age (HAZ) and weight-for-height z-scores (WHZ). We used multiple-adjusted linear regressions considering for socio-economic factors to quantify associations.

Results

In this study population (median 36 ± 14 months old), stunting (HAZ < − 2) was seen in 26% and wasting (WHZ < − 2) in 7%. The DDS (median 7 ± 2 food groups) was positively associated with WHZ, while the FVS (median 13 ± 8 food items) was inversely associated with HAZ. We identified 4 dietary patterns: leaves-based, beans and poultry-based, maize and fish-based, and millet and meat-based diets. Only the maize and fish-based diet showed a statistically significant and here positive trend for associations with WHZ.

Conclusion

Growth development of children aged < 5 years continues to be a health problem in the Nouna HDSS. A higher dietary diversity and food variety and dietary patterns characterized by maize and fish and beans and poultry intake appear to be beneficial for growth of young children in this area.

Factors associated with acute malnutrition among children 6-59 months in rural Mozambique

Factors associated with acute malnutrition are complex and wide‐ranging particularly in developing countries. In Mozambique, contextual factors associated to children acute malnutrition are yet to be fully investigated and the evidences used to better inform prevention programme. The objective of this study is to identify key factors associated with acute malnutrition among 6‐ to 59‐month‐old children living in nine districts in rural Mozambique assessed in the 2018 seasonal nutrition assessment. We analysed Standardized Monitoring and Assessment for Relief and Transition (SMART) nutrition survey data of 1,116 children from three districts and rapid nutrition assessment (RNA) data of 3,884 children from six districts of Mozambique. We used a multiple logistic regression analysis to respond to the research question. Experiencing diarrhoea [odds ratio (OR) = 4.54; P = 0.001] was the only variable associated with acute malnutrition from the SMART survey dataset, whereas in the RNA, fever (OR = 3.0; P = 0.000) access to sanitation (OR = 0.118; P = 0.037), experiencing shock in the household (OR = 0.5; P = 0.020), diarrhoea (OR = 2.41; P = 0.001) and cough (OR = 1.75; P = 0.030) were the variables with significant association to acute malnutrition. We believe that the findings were influenced by the proportion of acute malnutrition in each survey type. Study findings confirm the association between acute malnutrition and child's health outcomes that are generally linked to poor living conditions and independent effects of shocks. This highlights the need for policy and programme to implement integrated, cross‐sectoral approaches to tackling child acute malnutrition, particularly addressing community level conditions such as water and sanitation.

Disaggregated level child morbidity in Bangladesh: An application of small area estimation method

Acute respiratory infection (ARI) and diarrhoea are two major causes of child morbidity and mortality in Bangladesh. National and regional level prevalence of ARI and diarrhoea are calculated from nationwide surveys; however, prevalence at micro-level administrative units (say, district and sub-district) is not possible due to lack of sufficient data at those levels. In such a case, small area estimation (SAE) methods can be applied by combining survey data with census data. Using an SAE method for the dichotomous response variable, this study aims to estimate the proportions of under-5 children experienced with ARI and diarrhoea separately as well as either ARI or diarrhoea within a period of two-week preceding the survey. The ARI and diarrhoea data extracted from Bangladesh Demographic and Health Survey 2011 are used to develop a random effect logistic model for each of the indicators, and then the prevalence is estimated adapting the World Bank SAE approach for the dichotomous response variable using a 5% sample of the Census 2011. The estimated prevalence of each indicator significantly varied by district and sub-district (1.4–11.3% for diarrhoea, 2.2–11.8% for ARI and 4.3–16.5% for ARI/diarrhoea at sub-district level). In many sub-districts, the proportions are found double of the national level. District and sub-district levels spatial distributions of the indicators might help the policymakers to identify the vulnerable disaggregated and remote hotspots. Particularly, aid industries can provide effective interventions at the highly vulnerable spots to overcome the gaps between micro and macro level administrative units.

Determinants of under-nutrition among children under five years of age in Ethiopia

Background

Ethiopia is one of the developing countries where child under-nutrition is prevalent. Prior studies employed three anthropometric indicators for identifying factors of children’s under-nutrition. This study aimed at identifying the factors of child under-nutrition using a single composite index of anthropometric indicators.

Methods

Data from Ethiopia’s Demographic and Health Survey 2016 was the base for studying under-nutrition in a sample of 9494 children below 59 months. A single composite index of under-nutrition was created from three anthropometric indices through principal component analysis recoded into an ordinal outcome. In line with World Health Organization 2006 Child Growth Standards, the three anthropometric indices involve z-score of height-for-age (stunting), weight-for-height (wasting) and weight-for-age (underweight). Partial proportional odds model was fitted and its relative performance compared with some other ordinal regression models to identify significant determinants of under-nutrition.

Results

The single composite index of anthropometric indicators showed that 49.0% (19.8% moderately and 29.2% severely) of sampled children were undernourished. In the Brant-test of proportional odds model, the null hypothesis that the model parameters equal across categories was rejected. Compared to ordinal regression models, partial proportional odds model showed an improved fit. A child with mother’s body mass index less than 18.5 kg, from poorest family and a husband without education, and male to be in a severe under-nutrition status was 1.4, 1.8 1.2 and 1.2 times more likely to be in worse under-nutrition status compared to its reference group respectively.

Conclusion

Authors conclude that the fitted partial proportional odds model indicated that age and sex of the child, maternal education, region, source of drinking water, number of under five children, mother’s body mass index and wealth index, anemic status of child, multiple births, fever of child before 2 months of the survey, mother’s age at first birth, and husband’s education were significantly associated with child under-nutrition. Thus, it is argued that interventions focus on improving household wealth index, food security, educating mothers and their spouses, improving maternal nutritional status, and increasing mothers’ health care access.

Rural children remain more at risk of acute malnutrition following exit from community based management of acute malnutrition program in South Gondar Zone, Amhara Region, Ethiopia: a comparative cross-sectional study

BACKGROUND

Community-based management of acute malnutrition has been reported effective in terms of recovery rate, but recovered children may be at increased risk of developing acute malnutrition after returning to the same household (HH) environment.

OBJECTIVE

Compare the magnitude and factors associated with acute malnutrition among recovered and never treated children in South Gondar Zone, Amhara Region, Ethiopia.

METHOD

A comparative cross-sectional study was conducted in three districts of South Gondar Zone by tracing 720 recovered and an equal number of age matched children who were never treated for acute malnutrition. Parents were asked to bring children to health post for survey data collection, anthropometric measurements, and edema assessment. Data were collected using a survey questionnaire, entered in to EpiData and analyzed using SPSS v20. Anthropometric indices were generated according to the WHO's 2006 Child Growth Standards using WHO Anthro software version 3.2.2. Bivariate and multivariable logistic regression was utilized. Values with P < 0.05 were considered statistically significant and Odds Ratio with 95% CI was used to measure strength of association.

RESULT

A total of 1,440 parents were invited, of which 1,414 participated (98.2% response rate). Mean age in months of children (±SD) was 23.7 (±10.4) for recovered and 23.3 (±10.8) for comparison group. About 49% of recovered and 46% of comparison children were females. A significant difference was observed on magnitude of acute malnutrition between recovered (34.2% (95% CI [30.9-38.0]) and comparison groups (26.7% (95% CI [23.5-30.2]), P = 0.002. Factors associated with acute malnutrition among recovered were district of Ebnat (AOR = 3.7; 95% CI [1.9-7.2]), Tach-Gayint (AOR = 2.4; 95% CI [1.2-4.7]); male child (AOR = 1.4; 95% CI [1.0-2.0]); prelactal feeding (AOR = 2.6; 95% CI [1.3 -5.1]); not feeding colostrum (AOR = 1.5; 95% CI [1.1-2.3]); not consuming additional food during pregnancy/lactation (AOR = 1.6; 95% CI [1.1-2.3]); not given Vitamin A supplement (AOR = 2.1; 95% CI [1.4-3.2]); and safe child feces disposal practice (AOR = 1.7; 95% CI [1.2-2.5]) while district of Tach-Gayint (AOR = 2.5; 95% CI [1.3-4.8]); male child (AOR = 1.5; 95% CI [1.1-2.1]), not feeding colostrum (AOR = 1.7; 95% CI [1.2-2.5]), poor hand washing practice (AOR = 1.6; 95% CI [1.1-2.2]); food insecure HH (AOR = 1.6; 95% CI [1.1-2.4]), birth interval <24 months (AOR = 1.9; 95% CI [1.2-3.2]), and poor access to health facility (AOR = 1.7; 95% CI [1.2-2.4]) were factors associated with acute malnutrition among comparison group.

CONCLUSION

Recovered children were more at risk of acute malnutrition than the comparison group. Nutrition programs should invest in improving nutrition counseling and education; as well as the hygienic practices to protect children against post-discharge relapse of acute malnutrition.

Contextual Factors and Spatial Patterns of Childhood Malnutrition in Provinces of Burkina Faso

BACKGROUND

Approximately 45% of all children's deaths are associated with malnutrition, and sub-Saharan Africa is hardest hit by this phenomenon. However, information on geographical variations of malnutrition in developing countries is limited. This study examined the geographical distribution and community characteristics associated with child malnutrition in Burkina Faso.

DESIGN

Data from the 2011 Burkina Faso Demographic Health Survey were analyzed. A general Kriging interpolation method was used to generate spatial malnutrition patterns. The global Moran's I test was used to identify significant malnutrition spatial patterns. Generalized estimating equations (GEEs) were fitted to examine the association between community level factors and malnutrition.

RESULTS

Average rates of stunting and wasting in the communities were 32.48% and 15.05%, respectively. Stunting hotspots were observed in the eastern and northeastern parts of Burkina Faso (i.e. Oudolan, Séno and Yagha, among others), while high rates of wasting were observed in the north-central part. The GEE results revealed lower stunting rates in communities with a higher percentage of households with improved sanitation. Communities with higher rates of professionally assisted births were associated with low wasting rates, while communities with higher rates of households with a low wealth index reported higher rates of wasting.

CONCLUSIONS

Spatial statistical models of malnutrition prevalence are useful for indicating hotspots over wide areas and hence, for guiding intervention strategies. This study revealed significant geographical patterns and community factors associated with childhood malnutrition. These factors should be considered in future programs aimed at reducing malnutrition in Burkina Faso.

Factors associated with dietary diversity and length-for-age z-score in rural Ethiopian children aged 6-23 months: A novel approach to the analysis of baseline data from the Sustainable Undernutrition Reduction in Ethiopia evaluation

Infants and young children need diets high in nutrient density and diversity to meet the requirements of rapid growth and development. Our aim was to evaluate sociodemographic, agricultural diversity, and women's empowerment factors associated with child dietary diversity and length-for-age z-score (LAZ) in children 6-23 months using data collected as part of the Sustainable Undernutrition Reduction in Ethiopia (SURE) evaluation study baseline survey in May-June 2016. We here present a novel analysis using directed acyclic graphs (DAGs) to represent our assumptions about the causal influences between the factors of interest and the outcomes. The causal diagrams enabled the identification of variables to be included in multivariable analysis to estimate the total effects of factors of interest using ordinal logistic/linear regression models. We found that child dietary diversity was positively associated with LAZ with children consuming 4 or more food groups having on average an LAZ score 0.42 (95% CI [0.08, 0.77]) higher than those consuming no complementary foods. Household production of fruits and vegetables was associated with both increased child dietary diversity (adjusted OR 1.16; 95% CI [1.09, 1.24]) and LAZ (adjusted mean difference 0.05; 95% CI [0.005, 0.10]). Other factors positively associated with child dietary diversity included age in months, socio-economic status, maternal education, women's empowerment and dietary diversity, paternal childcare support, household food security, fruit and vegetable cultivation, and land ownership. LAZ was positively associated with age, socio-economic status, maternal education, fruit and vegetable production, and land ownership.