Maternal Height-standardized Prevalence of Stunting in 67 Low- and Middle-income Countries

Machine Learning in Predicting Child Malnutrition: A Meta-Analysis of Demographic and Health Surveys Data

BACKGROUND

Childhood malnutrition remains a significant global public health concern. The Demographic and Health Surveys (DHS) program provides specific data on child health across numerous countries. This meta-analysis aims to comprehensively assess machine learning (ML) applications in DHS data to predict malnutrition in children.

METHODS

A comprehensive search of the peer-reviewed literature in PubMed, Embase, and Scopus databases was conducted in January 2024. Studies employing ML algorithms on DHS data to predict malnutrition in children under 5 years were included. Using PROBAST (Prediction model Risk Of Bias Assessment Tool), the quality of the listed studies was evaluated. To conduct meta-analyses, Review Manager 5.4 was used.

RESULTS

A total of 11 out of 789 studies were included in this review. The studies were published between 2019 and 2023, with the major contribution from Bangladesh (n = 6, 55%). Of these, ten studies reported stunting, three reported wasting, and four reported underweight. A meta-analysis of ten studies reported a pooled accuracy of 68.92% (95% CI: 66.04, 71.80; I2 = 100%) among ML models for predicting stunting in children. Three studies indicated a pooled accuracy of 84.39% (95% CI: 80.90, 87.87; I2 = 100%) in predicting wasting. A meta-analysis of four studies indicated a pooled accuracy of 73.60% (95% CI: 70.01, 77.20; I2 = 100%) for ML models predicting underweight status in children.

CONCLUSIONS

This meta-analysis indicated that ML models were observed to have moderate to good performance metrics in predicting malnutrition using DHS data among children under five years.

Global relevance of MGRS growth standards: the case of India

The most common measures of childhood undernutrition are based on anthropometric measures such as height-for-age (stunting/chronic undernutrition) and weight-for-height (wasting/acute undernutrition). It is well recognised that the determinants of undernutrition are multiple, including food intake, dietary diversity, health, sanitation and women's status. Currently, most countries across the world including India use the globally accepted WHO-Multicentre Growth Reference Study (MGRS) growth standards (2006) for the purposes of measurement as well as for evaluating progress on these metrics. However, there is some discussion on the universal relevance of these standards, and in the Indian context, whether these standards overestimate the prevalence of stunting, considering differences in genetic potential for growth. This is especially relevant in the context of increasing burden of obesity and non-communicable diseases in India. Based on a detailed review of literature, policy documents and expert inputs, this review paper discusses the relevance of the WHO growth standards for height/stunting, in the context of India. Issues discussed related to the MGRS methodology include pooling of data and intersite and intrasite variability, opting for standards as opposed to references, and external validity. Other issues related to plasticity of stunting and the influence of maternal heights are also discussed, in the context of analysing the appropriateness of using universal growth standards. Based on the review, it is recommended that the current standards may continue to be used until a newer global standard is established through a similar study.

Co-existence of maternal overweight/obesity, child undernutrition, and anaemia among mother-child pairs in Ethiopia

Ethiopia is currently known to be the most food-insecure country in sub-Saharan Africa, where childhood undernutrition remains endemic. While attention is increasingly being paid to childhood undernutrition in Ethiopia, a current surge of "triple burden of malnutrition" (TBM) has received less attention. The purpose of this study was to determine the prevalence of TBM and identify the associated factors in Ethiopia. Data were from the Ethiopian Demographic and Health Surveys (2005-2016) and a total of 20,994 mother-child pairs were examined in this study. The TBM was our primary outcome variable, which encompasses three types of nutritional problems-when a mother may be overweight/obese, while her child is stunted, wasted, or underweight plus has anaemia under the same roof. A multilevel logistic regression explored the individual- and community-level factors associated with TBM. Our study indicated that children under-five years of age were anaemic, stunted, wasted, and underweight [49.3% (95% CI: 48.7-49.9), 43.1% (95% CI: 42.4-43.7), 10.3% (95% CI: 9.9-10.7), and 27.6% (95% CI: 27.0-28.1)] respectively. The overall prevalence of TBM was 2.6% (95% CI: 2.39-2.83). Multilevel analyses revealed that TBM was more likely to occur among children aged 12-23 months (AOR: 2.54, 95% CI: 1.68-3.83), 24-35 months (AOR: 1.54, 95% CI: 1.03-2.29), children perceived by their mothers to be smaller than normal at birth (AOR: 1.94, 95% CI: 1.48-2.56), who experienced fever in the past 2 weeks (AOR: 1.58, 95% CI: 1.24-2.01), and lived in urban settings (AOR: 1.79, 95% CI: 1.13-2.86). Lower odds of TBM were reported among female children (AOR: 0.59, 95% CI: 0.47-0.72), and those who lived in rich households (AOR: 0.69: 95% CI: 0.49-0.98). TBM was found to be present in almost three percent of households in Ethiopia. Addressing the TBM through double-duty actions will be of critical importance in achieving malnutrition in all its forms in Ethiopia.

Composite indexes of anthropometric failure in children under 5 years of age in Argentina: Comparative analysis among regions: 2019-2020

OBJECTIVES

Composite Index of Anthropometric Failure (CIAF) and Extended CIAF (ECIAF) allow for the identification of simultaneous presence of two or more types of malnutrition. The objective of this study was to analyze anthropometric failure in Argentinean children under 5 years old, taking into consideration regional and socioeconomic perspectives.

MATERIALS AND METHODS

Data from the National Survey of Children and Adolescents MICS 2019-2020 were used, which included 5473 children under 5 years old of both sexes residing in the six regions of Argentina. CIAF and ECIAF excludes children not in anthropometric failure (group A) and was calculated from a percentage of children included in malnutrition categories B: wasting only; C: wasting and underweight; D: wasting, stunting, and underweight; E: stunting and underweight; F: stunting only; Y: underweight only; G: only weight excess; and H: stunting and weight excess. The data were analyzed according to region and wealth quintile.

RESULTS

In children aged 0-2.99 years, CIAF was 12.5% and ECIAF was 27.7%, with boys being more affected. In children aged 3-4.99 years, the rates were 9.7% and 22.3%, respectively, with girls showing a higher prevalence. The highest ECIAF was recorded in the Patagonia region (31.3%), while the highest ECIAF was observed in the poorest quintile.

DISCUSSION

The presence of double burden of malnutrition has been observed across all regions and household income levels. Additionally, overweight has shown a higher intensity in economically prosperous regions and households, while stunting has been more prevalent in economically disadvantaged areas.

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

INTRODUCTION

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

METHODS

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

RESULTS

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

CONCLUSION

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

Progress on Sustainable Development Goal indicators in 707 districts of India: a quantitative mid-line assessment using the National Family Health Surveys, 2016 and 2021

Background

India has committed itself to accomplishing the Sustainable Development Goals (SDGs) by 2030. Meeting these goals would require prioritizing and targeting specific areas within India. We provide a mid-line assessment of the progress across 707 districts of India for 33 SDG indicators related to health and social determinants of health.

Methods

We used data collected on children and adults from two rounds of the National Family Health Survey (NFHS) conducted in 2016 and 2021. We identified 33 indicators that cover 9 of the 17 official SDGs. We used the goals and targets outlined by the Global Indicator Framework, Government of India and World Health Organization (WHO) to determine SDG targets to be met by 2030. Using precision-weighted multilevel models, we estimated district mean for 2016 and 2021, and using these values, computed the Annual Absolute Change (AAC) for each indicator. Using the AAC and targets, we classified India and each district as: Achieved-I, Achieved-II, On-Target and Off-Target. Further, when a district was Off-Target on a given indicator, we further identified the calendar year in which the target will be met post-2030.

Findings

India is not On-Target for 19 of the 33 SDGs indicators. The critical Off-Target indicators include Access to Basic Services, Wasting and Overweight Children, Anaemia, Child Marriage, Partner Violence, Tobacco Use, and Modern Contraceptive Use. For these indicators, more than 75% of the districts were Off-Target. Because of a worsening trend observed between 2016 and 2021, and assuming no course correction occurs, many districts will never meet the targets on the SDGs even well after 2030. These Off-Target districts are concentrated in the states of Madhya Pradesh, Chhattisgarh, Jharkhand, Bihar, and Odisha. Finally, it does not appear that Aspirational Districts, on average, are performing better in meeting the SDG targets than other districts on majority of the indicators.

Interpretation

A mid-line assessment of districts' progress on SDGs suggests an urgent need to increase the pace and momentum on four SDG goals: No Poverty (SDG 1), Zero Hunger (SDG 2), Good Health and Well-Being (SDG 3) and Gender Equality (SDG 5). Developing a strategic roadmap at this time will help India ensure success with regards to meeting the SDGs. India's emergence and sustenance as a leading economic power depends on meeting some of the more basic health and social determinants of health-related SDGs in an immediate and equitable manner.

Funding

This work was funded by the Bill and Melinda Gates Foundation, INV-002992.

Association between maternal stature and household-level double burden of malnutrition: findings from a comprehensive analysis of Ethiopian Demographic and Health Survey

BACKGROUND

Undernutrition among under-five children is one of the intractable public health problems in Ethiopia. More recently, Ethiopia faced a rising problem of the double burden of malnutrition-where a mother may be overweight/obese, and a child is stated as having undernutrition (i.e., stunting, wasting, or underweight) under the same roof. The burden of double burden of malnutrition (DBM) and its association with maternal height are not yet fully understood in low-income countries including Ethiopia. The current analysis sought: (a) to determine the prevalence of double burden of malnutrition (i.e., overweight/obese mother paired with her child having one form of undernutrition) and (b) to examine the associations between the double burden of malnutrition and maternal height among mother-child pairs in Ethiopia.

METHODS

We used population-representative cross-sectional pooled data from four rounds of the Ethiopia Demographic and Health Survey (EDHS), conducted between 2000 and 2016. In our analysis, we included children aged 0-59 months born to mothers aged 15-49 years. A total of 33,454 mother-child pairs from four waves of EDHS were included in this study. The burden of DBM was the primary outcome, while the maternal stature was the exposure of interest. Anthropometric data were collected from children and their mothers. Height-for-age (HFA), weight-for-height (WFH), and weight-for-age (WFA) z-scores < - 2 SD were calculated and classified as stunted, wasting, and underweight, respectively. The association between the double burden of malnutrition and maternal stature was examined using hierarchical multilevel modeling.

RESULTS

Overall, the prevalence of the double burden of malnutrition was 1.52% (95% CI 1.39-1.65). The prevalence of overweight/obese mothers and stunted children was 1.31% (95% CI 1.19-1.44), for overweight/obese mothers and wasted children, it was 0.23% (95% CI 0.18-0.28), and for overweight/obese mothers and underweight children, it was 0.58% (95% CI 0.51-0.66). Children whose mothers had tall stature (height ≥ 155.0 cm) were more likely to be in the double burden of malnutrition dyads than children whose mothers' height ranged from 145 to 155 cm (AOR: 1.37, 95% CI 1.04-1.80). Similarly, the odds of the double burden of malnutrition was 2.98 times higher for children whose mothers had short stature (height < 145.0 cm) (AOR: 2.98, 95% CI 1.52-5.86) compared to those whose mothers had tall stature.

CONCLUSIONS

The overall prevalence of double burden of malnutrition among mother-child pairs in Ethiopia was less than 2%. Mothers with short stature were more likely to suffer from the double burden of malnutrition. As a result, nutrition interventions targeting households' level double burden of malnutrition should focus on mothers with short stature to address the nutritional problem of mother and their children, which also has long-term and intergenerational benefits.

Determinants of Stunting Children Under Five of Age During the COVID-19 in the Working Area of the Liwuto-Primary Public Health Center, Baubau City-Indonesia: A Community-Based Unmatched Case–Control Study

BACKGROUND: In Indonesia, the stunting prevalence has reached 24.4% in 2021. AIM: The study aims to examine the determinants of stunting among children under five of age during the COVID-19 pandemic in the working area of the Liwuto-Primary Public Health Center, Baubau city. METHODS: A community-based unmatched case–control study was conducted from January 10, to March 10, 2022, on a sample of 94, cases (n = 21), and controls (n = 73) of children aged 0–59 months with their respective mothers. Data were collected using a face-to-face interviewer-administered questionnaire and physical measurements standard. The data were analyzed using SPSS version 17. The variables were entered into the multivariable model using the backward stepwise regression approach. Multivariable logistic regression analysis was used to identify factors associated with stunting. Adjusted odds ratio (AOR) with a 95% confidence interval (95% CI) and p < 0.05 was used to declare the significance. RESULTS: There are 22% of the stunting become in children under 5 years. Stunting children under 5 years was associated with maternal age (AOR = 5.71, 95%, CI: 1.91–17.03). While family income (AOR = 1.78, 95%, CI: 0.17–18.86), exclusive breastfeeding (AOR = 3.95, 95%, CI: 0.14–112.72), complementary feeding (AOR = 1.24, 95%, CI: 0.18–8.55), formal education (AOR = 0.74, 95%, CI: 0.36–1.53), and occupation (AOR = 2.98, 95%, CI: 0.24–36.55) were not associated with the stunting. CONCLUSION: Young mother under 30 years old was an important risk factor on the incidence of stunting in children under 5 years during the COVID-19 pandemic.

Scarring and selection effects on children surviving elevated rates of postneonatal mortality in sub-Saharan Africa

Infants in sub-Saharan Africa face adversity: Infections and undernutrition are major causes of infant deaths and can cause physiological damage with long-lasting adverse scarring effects on the human development of the survivors, for example, in terms of health and education. However, selective mortality of more vulnerable children at very high levels of adversity in early life can leave the surviving population to appear on average healthier. This paper estimated the nonlinear effects of postneonatal mortality rate—a proxy for adversity, particularly infections and undernutrition—in a 50 km radius, occurring over the period of infancy, on the subsequent height-for-age and school attendance of the surviving children. The results indicated that an adverse environment in infancy negatively affected height-for-age at age 1–4 years: At relatively low levels of adversity (at the 10th percentile of postneonatal mortality rate), an additional postneonatal death per 100 person-years decreased height-for-age of the survivors by almost 2% of the mean deficit in height (relative to a common growth standard) when comparing siblings born into different levels of adversity. At high levels of adversity, no effect was found for height-for-age while a small positive association was observed for school attendance at age 7–16 years. The results indicated that selective mortality may have canceled out (or even dominated in the case of school attendance) observable scarring effects following high levels of postneonatal mortality rate in sub-Saharan Africa.

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Adversity in early life negatively affects human development in sub-Saharan Africa.

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The postneonatal mortality rate over infancy was used as a proxy for adversity.

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Elevated adversity in infancy negatively affected height-for-age at age 1–4 years.

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At high adversity, selective mortality may cancel out observable scarring effects.