Causes and consequences of child growth faltering in low-resource settings

Role of aggregative adherence fimbriae from enteroaggregative Escherichia coli isolates in biofilm and colonization

Enteroaggregative Escherichia coli (EAEC) are a diverse group of bacteria that cause diarrhea worldwide. EAEC significantly affect travelers to endemic regions, including military personnel, and children in developing countries where EAEC infection is associated with childhood failure-to-thrive. EAEC creates thick biofilms on the intestinal mucosa, a process that is thought to contribute to the development of both diarrhea and childhood failure-to-thrive. Typical EAEC strains encode and produce just one aggregative adherence fimbriae (AAF) out of the five different AAF types. The AAF are required for aggregative adherence to epithelial cells in vitro, but the degree of importance of each of the AAF types in both biofilm formation and pathogenesis is unknown. In this study, we investigated the role of the fimbriae in EAEC biofilms by deleting the major fimbrial subunit gene for the AAF from each of the five AAF categories and observing the impact on biofilm staining from recent EAEC clinical isolates. We found that biofilm was significantly reduced in all strains when the AAF gene was deleted, and that the defect could be overcome by complementation. In this work we also describe a modified murine EAEC model appropriate for colonization studies. In an antibiotic-treated mouse colonization model, some AAF mutant strains were attenuated for colonization, including AAF/II, AAF/IV, and AAF/V isolates. We did not observe complementation of the attenuated colonization phenotype in the mouse model. However, since we found a colonization defect for several EAEC mutant strains of different AAF types, a link between the fimbriae and colonization in the mice is supported. Taken together, our results show that the AAF are required for biofilm formation, and that some AAF contribute to colonization in a mouse model.

Factors Influencing Wasting in Children Under 5 in Arid Regions of Kenya

Child wasting is a major public health problem in low- and middle-income countries. Our study aimed to identify immediate, underlying and basic factors influencing wasting among children in Turkana and Samburu, two arid and semi-arid regions in Kenya. Data are from a longitudinal study of children under 3 years of age at baseline, with follow-up every 4 months for 2 years. Generalized estimating equations were used to assess risk factors of wasting in this population. Among immediate factors, children who recently experienced diarrhoea had 19% and 23% higher odds of wasting, and those who consumed animal-source foods had 12% and 22% lower odds of wasting in Turkana and Samburu, respectively. Among underlying factors, children in Turkana whose caregivers used alcohol had 32% higher odds of wasting, whereas there was no effect of household food insecurity or factors related to water and sanitation on wasting in either county. Children in Turkana whose caregivers had 3-5 or 6 or more children had 39% and 70% higher odds, whereas those in female-headed households had 34% and 81% higher odds of wasting in Turkana and Samburu, respectively. Male children also had increased odds of wasting; 21% and 41% in Turkana and Samburu, respectively. Children in Turkana's fisherfolk communities had 36% higher odds of wasting compared with those in urban or peri-urban areas. Key risk factors for wasting included child sex, reported diarrhoea, caregiver's use of alcohol (in Turkana), caregiver's number of children, female-headed households and fisherfolk livelihood (in Turkana) while consuming animal-source foods was associated with lower risk. Interventions should target these intersecting factors to reduce wasting in these counties.

The association between single motherhood and child undernutrition in Zambia: analysis of the 2007, 2013-14 and 2018 Demographic and Health Surveys

BACKGROUND

Single-parent households, particularly those headed by mothers, have become increasingly common worldwide due to shifts in marriage and partnership patterns. In Zambia, the rate of single motherhood has increased, exposing children in these households to unique challenges, such as economic hardship and limited access to resources, which heighten their risk of undernutrition. Despite the significance of this issue, research on the association between single motherhood and child nutritional status in Zambia remains limited. This study examines the association between single motherhood and child undernutrition in Zambia, providing policy-relevant insights.

METHODS

This cross-sectional study analyzed data from three rounds of the Zambia Demographic and Health Survey: 2007, 2013-14, and 2018. The final analytical sample included 25,093 children under five years of age, born to 17,740 mothers, with information on family structure and nutritional status. Single motherhood was defined as mothers who were never married, or were divorced, widowed, or separated, while married or cohabiting mothers served as the reference group. We employed a multivariate multilevel logistic regression model to estimate the association between single motherhood and child undernutrition, adjusting for a range of demographic and socioeconomic factors.

RESULTS

Children of single mothers had significantly higher odds of stunting (AOR = 1.146, p = 0.004) and wasting (AOR = 1.216, p = 0.034) than those in dual-parent households. Boys in single-mother households were particularly vulnerable, with increased risks of stunting (AOR = 1.186, p = 0.011), underweight (AOR = 1.196, p = 0.018), and wasting (AOR = 1.362, p = 0.019), while these associations were not statistically significant for girls. Among different categories of single motherhood, children of widowed mothers faced the highest risk of stunting (AOR = 1.400, p = 0.012) and underweight (AOR = 1.408, p = 0.022).

CONCLUSIONS

Single motherhood, particularly widowhood, is associated with a higher risk of undernutrition among children under five in Zambia, with boys being disproportionately affected. These findings underscore the need for targeted policies and interventions to address the specific vulnerabilities of single-mother households and reduce socioeconomic disparities to mitigate nutritional risks for children.

Unveiling predictive factors for household-level stunting in India: A machine learning approach using NFHS-5 and satellite-driven data

OBJECTIVES

Childhood stunting remains a significant public health issue in India, affecting approximately 35% of children under 5. Despite extensive research, existing prediction models often fail to incorporate diverse data sources and address the complex interplay of socioeconomic, demographic, and environmental factors. This study bridges this gap by employing machine learning methods to predict stunting at the household level, using data from the National Family Health Survey combined with satellite-driven datasets.

METHODS

We used four machine learning models-random forest regression, support vector machine regression, K-nearest neighbors regression, and regularized linear regression-to examine the impact of various factors on stunting. The random forest regression model demonstrated the highest predictive accuracy and robustness.

RESULTS

The proportion of households below the poverty line and the dependency ratio consistently predicted stunting across all models, underscoring the importance of economic status and household structure. Moreover, the educational level of the household head and environmental variables such as average temperature and leaf area index were significant contributors. Spatial analysis revealed significant geographic clustering of high-stunting districts, notably in central and eastern India, further emphasizing the role of regional socioeconomic and environmental factors. Notably, environmental variables like average temperature and leaf area index emerged as strong predictors of stunting, highlighting how regional climate and vegetation conditions shape nutritional outcomes.

CONCLUSIONS

These findings underline the importance of comprehensive interventions that not only address socioeconomic inequities but also consider environmental factors, such as climate and vegetation, to effectively combat childhood stunting in India.

Identification of amendable risk factors for childhood stunting at individual, household and community levels in Northern Province, Rwanda - a cross-sectional population-based study

BACKGROUND

Childhood stunting, defined as height-for-age below - 2 standard deviations (SD), disproportionately affects the Northern Province of Rwanda. We investigated risk factors contributing to stunting in this region at individual, household, and societal/community levels to inform future interventions.

METHODS

We conducted a population-based, cross-sectional study using a quantitative questionnaire in households with children aged 1-36 months in the Northern Province. Anthropometric measurements of children and mothers were taken to estimate nutritional status. Multivariable logistic regressions were performed to identify independent risk factors of stunting, reporting odds ratios, 95% confidence intervals and p-values.

RESULTS

Overall, stunting prevalence was 27.1% in children aged 1-36 months. At the individual level, boys exhibited 82% higher risk of stunting compared to girls (aOR: 1.82, 95% CI: 1.19, 2.78). Household-level factors such as maternal height and BMI were inversely associated with the risk of childhood stunting (aOR: 0.94, 95% CI: 0.90, 0.97 and aOR: 0.92, 95% CI: 0.86, 0.99, respectively). Other risk factors included no breastfeeding at the time of interview (aOR: 2.00, 95% CI: 1.23, 3.25), presence of twins or triplets aged 1-36 months (aOR: 2.60, 95% CI: 1.21, 5.57), female-headed (single parent) households (aOR: 2.07, 95% CI: 1.00, 4.26), and absence of handwashing facilities near the toilet (aOR: 3.30, 95% CI: 1.36, 7.98). No societal/community factors were significantly associated with childhood stunting in the Northern Province.

CONCLUSION

Childhood stunting in the Northern Province of Rwanda is associated with several factors that could lend themselves to interventions, e.g., improved handwashing facilities, improved childcare practices and targeting vulnerable groups such as boys, households with twins or single parents. Additionally, a thorough exploration of identified risk factors through qualitative approaches involving all stakeholders in child and maternal nutrition is warranted.

Engaging males to improve nutrition outcomes in young children in Bihar

Poor dietary practices among children aged 6-23 months pose a critical public health challenge, hindering their physical and cognitive development. The National Family Health Survey-5 (NFHS-5) reveals that only 11% of children in this age group consume diets meeting the minimum dietary diversity requirements. To address this, a targeted intervention was designed and implemented to improve dietary diversity in children. This study evaluates the intervention's impact on enhancing dietary diversity and fostering changes in gender norms, such as increased male participation in nutrition-related decision-making, food procurement, shared childcare responsibilities, and discussions about children's nutritional needs. This research employed a quasi-experimental design with baseline and endline rounds. The intervention and control blocks were selected from the same district based on matching criteria such as population size, literacy rate, etc. The sample size was determined using a two-sample proportion formula to detect an 9% difference between the intervention and control groups, with a 95% confidence level and 80% statistical power. Household listing identified 1,684 and 1,362 children aged 6-11 months in the intervention and control blocks, respectively. 400 fathers and 400 mothers were randomly sampled from both arms in each survey round. The intervention's impact was assessed using a difference-in-differences (DID) approach. The results revealed significant improvements in the minimum dietary diversity of children aged 6-23 months (DID coefficient, 21%; p < 0.00). At baseline, the intervention and control groups had similar dietary diversity (14% and 13%, respectively), but by endline, the intervention group had significantly improved to 50% compared to 29% in the control group. Knowledge of dietary diversity increased substantially among mothers (DID: 31.3%; p < 0.00) and fathers (DID: 15.6%, p < 0.00). Collaborative meal planning improved (DID: 9.8%; p < 0.00) along with better planning for purchasing vitamin A-rich foods (DID: 28.1%; p < 0.00). These findings highlight the effectiveness of engaging men in nutrition programs to support women in child-feeding practices. The intervention improved dietary practices for young children and promoted a gender-inclusive approach. Scaling this program to other regions could enhance child nutrition outcomes and contribute to better child health and development.

Preconception and Prenatal Environment and Growth Faltering Among Children in Uganda

Importance

Children with growth faltering are more susceptible to infections and may experience cognitive, physical, and metabolic developmental impairments.

Objective

To assess whether prenatal and preconception meteorological and environmental factors are associated with village-level rates of childhood growth outcomes in Uganda.

Design, Setting, and Participants

This cross-sectional study used data collected between June 20, 2015, and December 16, 2016, from the 2016 Ugandan Demographic and Health Survey for individuals aged 0 to 59 months with available anthropometric measures (weight and length or height). Data analysis was conducted from October 2020 to April 2024.

Exposures

Factors assessed included meteorological information, such as drought index (Standardized Precipitation-Evapotranspiration Index [SPEI]), Aridity Index, rainfall, temperature, and vegetation indices; demographic and economic development factors (nighttime light emissions, driving time to the nearest city); and land topography (slope angle, elevation above sea level).

Main Outcomes and Measures

The main outcomes were height-for-age z score (HAZ), weight-for-age z score (WAZ), and weight-for-height z score (WHZ). Spatial resolution estimates, at 1 km × 1 km of childhood growth faltering indicators, were created.

Results

Of the 5219 individuals aged 0 to 59 months included in the analysis, 2633 (50%) were female; mean (SD) age was 29 (17) months. Of these individuals, 30.22% (95% CI, 29.36%-30.98%) had stunting, 12.23% (95% CI, 11.55%-12.91%) had underweight, and 3.63% (95% CI, 3.46%-3.80%) had wasting. Large disparities in the burden of childhood growth faltering existed within Uganda at smaller and larger spatial scales; villages in the northeastern and southwestern areas of the country had the highest prevalence of all forms of growth faltering (stunting, >40%; underweight, >16%; and wasting, >6%). Higher SPEI at 3 months before birth was positively associated with all childhood growth outcomes: HAZ (β, 0.06; 95% CI, 0.02-0.10), WAZ (β, 0.04; 95% CI, 0.01-0.07), and WHZ (β, 0.03; 95% CI, 0.001-0.06). Higher location mean rainfall 11 months before birth was also positively associated with HAZ (β, 0.06; 95% CI, 0.01-0.10). Aridity Index associations with WAZ (β, 0.09; 95% CI, 0.04-0.13) and WHZ (β, 0.09; 95% CI, 0.02-0.16) were consistent with findings for SPEI.

Conclusions and Relevance

In this study of 5219 individuals 0 to 59 months of age in Uganda, rainfall and long-term availability of water at preconception and during gestation were positively associated with nutritional child growth outcomes. Understanding the relative contributions of meteorological environment factors on the spatial distribution of undernutrition at various spatial scales within Uganda (from the village to the district level) may help in the design of more cost-effective delivery of precision public health programs.

Suboptimal Refeeding Compensates Stunting in a Mouse Model of Juvenile Malnutrition

BACKGROUND

Early postnatal life is a critical period of rapid growth in mammals, heavily reliant on adequate nutrition. Protein-energy malnutrition (PEM) during this window can lead to stunting and wasting, with lasting health consequences.

OBJECTIVES

This study developed a mouse model of juvenile PEM to assess the effects of refeeding with various diets and interventions on growth recovery, including probiotic supplementation and suboptimal refeeding diets. Outcomes included length and weight catch-up, organ weights, and glucose tolerance.

METHODS

Juvenile male and female C57Bl/6J mice (N = 8 to 11/group) were fed a low-protein diet (LPD, 5% kcal from protein) starting at postnatal day 14 (P14) to which the pups and dams had access. Following weaning, mice were refed an optimal diet (27% kcal from protein) at different times (P28 to P56). Male mice received additional interventions, including supplementation with Lactiplantibacillus plantarum WJL (LpWJL) during refeeding or refeeding with a Western diet (WD), 15.3% kcal from protein, or a modified Western diet (MWD) 7.5% kcal from protein. Statistical analyses used analysis of variance, analysis of covariance, and principal component analysis.

RESULTS

Optimal refeeding restored growth in females (body weight in optimal-fed: 20.5 ± 0.3 g vs. 19.4 ± 0.6 g in P56-refed), but males showed persistent stunting (26.8 ± 0.7 g vs. 21.9 ± 0.9 g; P < 0.05). In males, LpWJL did not enhance growth recovery and exacerbated glucose intolerance in suboptimal refeeding groups. Males refed WD or MWD restored body length but showed impaired glucose metabolism, particularly in mice refed WD, with glycemia 30 min after glucose challenge reaching 20.4 ± 4.0 mM vs. 14.3 ± 3.0 mM in optimal-fed mice (P < 0.05).

CONCLUSIONS

Sex-dependent differences in recovery from PEM were evident, with males showing incomplete growth recovery despite optimal refeeding. Suboptimal diets compensated for stunting but impaired glucose metabolism, and LpWJL did not improve growth outcomes.

Complementary Food Supplements Fill Energy and Protein Gaps among Children with Dietary Inadequacy in a Complementary Feeding Trial in Rural Bangladesh

BACKGROUND

Few studies have evaluated the dietary impact of complementary food supplements (CFSs) designed to deliver macro- and micronutrients to children at risk for undernutrition. In a randomized controlled trial in rural Bangladesh, we previously reported that CFSs increased children's micronutrient adequacy.

OBJECTIVES

To longitudinally characterize energy and macronutrient intakes and inadequacies and evaluate the extent to which CFSs fill intake gaps.

METHODS

Children were enrolled at 6 mo and received 1 of 4 CFSs plus caregiver nutrition counseling or counseling alone for 1 y. A semi-quantitative diet questionnaire was administered at 6, 9, 12, 15, 18, and 24 mo. Energy and macronutrient intakes were estimated by age and arm; protein adequacy was adjusted for protein quality and infection. We estimated the proportion meeting intake requirements set by FAO and the Institute of Medicine and compared group-wise differences using log binomial regression models with generalized estimating equations. We used multivariate analysis of variance models to evaluate if CFSs substituted home foods.

RESULTS

Across groups, most children did not meet energy or protein requirements at enrollment (74.6%-81.3% and 77.4%-79.2%, respectively). Estimated energy and macronutrient intakes from home foods increased from 6 to 24 mo. Energy inadequacy was lower in the supplemented groups compared with the control at all ages (e.g. 10.5%-13.8% compared with 31.4% at 18 mo). In the control group, protein inadequacy dropped from 78.4% at 6 mo to 8.3% at 9 mo to 2.8% by 18 mo; adjusted protein estimates were 25.1% at 9 mo and 7.0% at 18 mo. Protein inadequacy was the highest in the control group at all timepoints. CFSs did not substitute home foods.

CONCLUSIONS

CFSs can significantly bridge energy and protein intake gaps. With earlier trial findings that CFSs filled micronutrient gaps and improved growth, these findings strengthen evidence supporting using CFSs for improved health outcomes. This trial was registered at clinicaltrials.gov with registration number NCT01562379 (https://clinicaltrials.gov/ct2/show/NCT01562379).

Growth dynamics of Indian infants using latent trajectory models in pooled survey datasets

Background

National survey data show that age- and sex-standardized weight and length measurements decline early in Indian children. In population-level longitudinal data, early detection of growth trajectories is important for the implementation of interventions. We aimed to identify and characterize distinct growth trajectories of Indian children from birth to 12 months of age residing in urban and rural areas.

Methods

Pooled data from four interventional and non-interventional longitudinal studies across India were used for the analysis. Latent class mixed modeling (LCMM) was employed to identify groups of children with similar trajectories over age. The trajectories named Classes of Children were created for length-for-age Z scores (LAZ) and weight-for-age Z scores (WAZ) based on place of birth, residential area, and maternal education.

Results

We identified two latent classes for LAZ in boys and three latent classes for LAZ in girls, and four classes for WAZ were identified in both boys and girls. The first class for LAZ, with the highest proportion of children (>80% of children), did not decline or increase with age; In boys, Class 1 was close to the WHO median, whereas in girls, Class 1 was lower than the WHO median from birth. The LAZ classes of remaining boys and girls declined with age (slope, μ dg = - 1.04; 95% CI: -1.09, -0.99 for boys and μ dg = - 0.69; 95% CI: -0.76, -0.63 for girls). The first trajectory of WAZ (approximately 50% of children) for boys ( μ dg =0.13; 95% CI: 0.11, 0.16) and the second trajectory of WAZ for girls ( μ dg =0.24; 95% CI: 0.18, 0.30) increased with age, while the remaining trajectories of WAZ declined with age.

Conclusion

There is heterogeneity in the growth of Indian children in the first year of life, which was identified by distinct types of growth trajectories. The predominant trajectories of both LAZ and WAZ did not decline with age, while most other trajectories demonstrated an initial decline.

Wasting coexisting with underweight and stunting among children aged 6‒59 months hospitalised in Garissa County Referral Hospital, Kenya

Management of undernourished children depends only on wasting yet it can coexist with underweight and/or stunting. Among children admitted to hospital with acute illness, we determined the proportion with wasting coexisting with underweight and/or stunting and their risk factors. A retrospective review of hospital records of children 6‒59 months old admitted at Garissa County referral hospital, Kenya, from January 2017 to December 2019 was conducted. Using World Health Organization 2006 growth standards, undernutrition were defined: wasting as Weight-for-height Z-score < -2, stunting Height-for-age Z-score < -2 and underweight Weight-for-age Z-score < -2. We studied wasting coexisting with underweight and/or stunting. Among 624 children recruited, 347 (56%) were males and 511 (82%) <24 months old. Diarrhoea 210 (34%) and pallor/anaemia 310 (50%) were the most frequent admission diagnosis. HIV infection was present among 8 (1.3%) children. Wasting, underweight and stunting were present among 595 (95%), 518 (83%) and 176 (28%) children respectively. 161 (26%), 506 (81%) and 161 (26%) children had wasting coexisting with stunting, underweight and both stunting and underweight respectively. In the multivariable regression, diarrhoea was positively associated with wasting coexisting with stunting (adjusted risk ratio [aRR = 2.96] [95% CI = 2.06‒4.23]) and anaemia with wasting coexisting with underweight (aRR = 1.23) (95% CI = 1.03‒1.47). Overall, 343 (55%) children were discharged alive, 67 (11%) absconded from the wards, 164 (26%) were transferred to another hospital and 50 (8.0%) died before discharge. The risk of inpatient death was 10.3%, 7.9%, 8.4% and 6.8% among children not wasted, wasted only, wasted & underweight, and wasted and underweight and stunted respectively (Chi-square p = 0.60). The study reports an unacceptably high levels of undernourishment, including coexisting forms of undernutrition among hospitalised children. This highlights a public health priority for current nutrition therapeutic care and need of continuity of care among those children discharged alive in the community-based management of acute malnutrition programmes.

Directed acyclic graph helps to understand the causality of malnutrition in under-5 children born small for gestational age

OBJECTIVES

Small-for-gestational age (SGA) is a causal factor for malnutrition (undernutrition). The available evidence on this causal relationship is based on observational studies and suffers from confounding and collider biases. This study aimed to construct a theoretical causal model to estimate the effect of SGA on malnutrition in children aged less than 5 years.

METHODS

For the causal model, we designated term-SGA status as the exposure variable and malnutrition at 6 months to 5 years of age (diagnosed by World Health Organization criteria) as the outcome variable. Causal estimands were formulated for three stakeholders. A "rapid narrative review" methodology was adopted for literature synthesis. Studies (observational and randomized) listing the causal factors of malnutrition in children aged less than 5 years from the Indian subcontinent were eligible. Four databases (PubMed, Scopus, Web of Science, and ProQuest) were searched and restricted to the last 10 years (search date: December 15, 2023). Information about the causal factors (covariates) of malnutrition and study characteristics was extracted from the article abstracts. Next, a causal model in the form of a directed acyclic graph (DAG) (DAGitty software) was constructed by connecting exposure, outcome, and covariate nodes using the sequential causal criteria of temporality, face validity, recourse to theory, and counterfactual thought experiments.

RESULTS

The search yielded 4818 records, of which 342 abstracts were included. Most of the studies were conducted in India (39%) and Bangladesh (27%). The literature synthesis identified 81 factors that were grouped into 17 nodes, referring to 5 domains: socioeconomic, parental, child-related, environmental, and political. The DAG identified 12 different minimal sufficient adjustment sets (conditioning sets for regression analysis) to estimate the total effect of SGA on malnutrition.

CONCLUSION

We offer an evidence-based causal diagram that will minimize bias due to improper selection of factors in studies focusing on malnutrition in term-SGA infants. The DAG and adjustment sets will facilitate the design and data analysis of future studies.

Ethnicity and anthropometric deficits in children: A cross-sectional analysis of national survey data from 18 countries in sub-Saharan Africa

Child anthropometric deficits remain a major public health problem in Sub-Saharan Africa (SSA) and are a key target of the UN Sustainable Development Goals (SDGs). The SDGs recommend disaggregation of health indicators by ethnic group. However, few studies have assessed how ethnicity is associated with anthropometric deficits across SSA. Data were extracted from 37 georeferenced Demographic and Health Surveys carried out during 2006-2019 across SSA that recorded anthropometric data for children aged <5 years. In a cross-sectional analysis, the odds of stunting (low height-for-age), wasting (low weight-for-height) and underweight (low weight-for-age) were modelled in relation to ethnic group using a generalised linear hierarchical mixed-effects model, controlling for survey design and environmental, socioeconomic and clinical variables. The study population comprised 138,312 children spanning 45 ethnic groups across 18 countries. In pairwise comparisons (accounting for multiple comparisons) between ethnic groups, height-for-age z-scores differed by at least 0.5 standard deviations in 29% of comparisons, weight-for-height z-scores in 36% of comparisons and weight-for-age z-scores in 20% of comparisons. Compared to a reference group of Fula children (the largest ethnic group), ethnic group membership was associated with both increases and decreases in growth faltering, ranging from a 69% reduction to a 32% increase in odds of stunting (Igbo: adjusted odds ratio (aOR) 0.31, 95% confidence intervals (CI) 0.27-0.35, p<0.0001; Hausa: aOR 1.32, 95% CI 1.21-1.44, p<0.0001); a 13% to 87% reduction in odds of wasting (Mandinka: aOR 0.87, 95% CI 0.76-0.99, p = 0.034; Bamileke: aOR 0.13, 95% CI 0.05-0.32, p<0.0001) and an 85% reduction to 13% increase in odds of underweight (Bamileke: aOR 0.15, 95% CI 0.08-0.29, p<0.0001; Hausa: aOR 1.13, 95% CI 1.03-1.24, p = 0.010). Major ethnic disparities in stunting, wasting and underweight were observed across 18 countries in SSA. Understanding and accounting for these differences is essential to support progress monitoring and targeting of nutrition interventions in children.

Contribution of malnutrition to infant and child deaths in Sub-Saharan Africa and South Asia

INTRODUCTION

Malnutrition contributes to 45% of all childhood deaths globally, but these modelled estimates lack direct measurements in countries with high malnutrition and under-5 mortality rates. We investigated malnutrition's role in infant and child deaths in the Child Health and Mortality Prevention Surveillance (CHAMPS) network.

METHODS

We analysed CHAMPS data from seven sites (Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone and South Africa) collected between 2016 and 2023. An expert panel assessed each death to determine whether malnutrition was an underlying, antecedent or immediate cause or other significant condition. Malnutrition was further classified based on postmortem anthropometry using WHO growth standards for underweight (z-scores for weight-for-age <-2), stunting (length-for-age <-2), and wasting (weight-for-length or MUAC Z-scores <-2).

RESULTS

Of 1601 infant and child deaths, malnutrition was considered a causal or significant condition in 632 (39.5%) cases, including 85 (13.4%) with HIV infection. Postmortem measurements indicated 90.1%, 61.2% and 94.1% of these cases were underweight, stunted and wasted, respectively. Most malnutrition-related deaths (n=632) had an infectious cause (89.1%). The adjusted odds of having malnutrition as causal or significant condition were 2.4 (95% CI 1.7 to 3.2) times higher for deaths involving infectious diseases compared with other causes. Common pathogens in the causal pathway for malnutrition-related deaths included Klebsiella pneumoniae (30.4%), Streptococcus pneumoniae (21.5%), Plasmodium falciparum (18.7%) and Escherichia coli/Shigella (17.2%).

CONCLUSION

Malnutrition was identified as a causal or significant factor in 39.5% of under-5 deaths in the CHAMPS network, often in combination with infectious diseases. These findings highlight the need for integrated interventions addressing both malnutrition and infectious diseases to effectively reduce under-5 mortality.

Predictive modelling of linear growth faltering among pediatric patients with Diarrhea in Rural Western Kenya: an explainable machine learning approach

INTRODUCTION

Stunting affects one-fifth of children globally with diarrhea accounting for an estimated 13.5% of stunting. Identifying risk factors for its precursor, linear growth faltering (LGF), is critical to designing interventions. Moreover, developing new predictive models for LGF using more recent data offers opportunity to enhance model accuracy, interpretability and capture new insights. We employed machine learning (ML) to derive and validate a predictive model for LGF among children enrolled with diarrhea in the Vaccine Impact on Diarrhea in Africa (VIDA) study and the Enterics for Global Heath (EFGH) - Shigella study in rural western Kenya.

METHODS

We used 7 diverse ML algorithms to retrospectively build prognostic models for the prediction of LGF (≥ 0.5 decrease in height/length for age z-score [HAZ]) among children 6-35 months. We used de-identified data from the VIDA study (n = 1,106) combined with synthetic data (n = 8,894) in model development, which entailed split-sampling and K-fold cross-validation with over-sampling technique, and data from EFGH-Shigella study (n = 655) for temporal validation. Potential predictors (n = 65) included demographic, household-level characteristics, illness history, anthropometric and clinical data were identified using boruta feature selection with an explanatory model analysis used to enhance interpretability.

RESULTS

The prevalence of LGF in the development and temporal validation cohorts was 187 (16.9%) and 147 (22.4%), respectively. Feature selection identified the following 6 variables used in model development, ranked by importance: age (16.6%), temperature (6.0%), respiratory rate (4.1%), SAM (3.4%), rotavirus vaccination (3.3%), and skin turgor (2.1%). While all models showed good prediction capability, the gradient boosting model achieved the best performance (area under the curve % [95% Confidence Interval]: 83.5 [81.6-85.4] and 65.6 [60.8-70.4]) on the development and temporal validation datasets, respectively.

CONCLUSION

Our findings accentuate the enduring relevance of established predictors of LGF whilst demonstrating the practical utility of ML algorithms for rapid identification of at-risk children.

Sex differences in growth and neurocognitive development in infancy and early childhood

Undernutrition in early life remains a significant public health challenge affecting millions of infants and young children globally. Children who are wasted, stunted or underweight are at increased risk of morbidity and mortality. Undernutrition at critical periods also impacts on aspects of neurodevelopment, with longer-term consequences to educational performance and mental health outcomes. Despite consistent evidence highlighting an increased risk of neonatal and infant mortality among boys, a common assumption held across many disciplines is that girls are more vulnerable with respect to early-life exposures. In relation to undernutrition, however, recent evidence indicates the reverse, and in contexts of food insecurity, boys are at increased risk of undernutrition in early life compared to girls, with sex-specific risks for neurodevelopmental deficits. These effects appear independent of social factors that may favour boys, such as gender disparities in infant feeding practices and health-seeking behaviours. The observed vulnerability among boys may therefore be underpinned by biological processes such as differential energy requirements during periods of rapid growth. As boys have greater needs for growth and maintenance, then, in times of nutritional hardship, these needs may not be met resulting in risk of undernutrition and subsequent health consequences. In view of this emerging evidence, a greater understanding of the mechanisms behind this vulnerability among boys is needed and policy considerations to protect boys should be considered. This review will explore sex differences in risk of undernutrition and consider these in the context of existing programmes and policies.

Context-Tailored Food-Based Nutrition Education and Counseling for Pregnant Women to Improve Birth Outcomes: A Cluster-Randomized Controlled Trial in Rural Malawi

Background

Inadequate maternal dietary intakes remain a public health challenge in low-income countries like Malawi and can cause adverse birth outcomes.

Objectives

To improve maternal dietary intakes and thus reduce the prevalence of adverse birth outcomes in rural Malawi.

Methods

We performed a 2-armed (1:1) cluster-randomized controlled trial in Southern Malawi, enrolling pregnant women at gestational age 12-18 wk. Twenty villages (clusters) were randomly assigned to an intervention or a control group. A nutrition education and counseling (NEC) intervention consisted of education sessions followed by cooking demonstrations and counseling sessions. The women were encouraged to use locally available nutrient-dense foods to enhance dietary adequacy and -diversity. We applied linear programming to identify food combinations that could increase micronutrient intakes. The control group received standard antenatal health education.

Results

Among the 311 women recruited, 187 (60%) completed the trial. We found no significant difference in mean birth weights recorded within 1 or 24 h of birth between the intervention and control groups. Intervention infants had greater birth length (P = 0.043) and abdominal circumference (P = 0.007) compared to controls, whereas other birth outcomes did not differ significantly. Notably, a quantile analysis revealed that the NEC intervention favored birth weight among mothers with a height below the mean height of the participant sample (156 cm) (P-interaction = 0.043).

Conclusions

Tailoring NEC in food-insecure communities did not result in a significant difference in birth weight among infants of the participating mothers, but mean birth length and abdominal circumference were greater in the intervention group compared to controls. We noted that the NEC intervention favored birth weight among mothers with a lower height than the mean sample height. Our results warrant further investigation into offering tailored NEC early in pregnancy and on a larger scale.This trial was registered at clinicaltrials.gov as NCT03136393.

Interplay Between Helminth Infections, Malnutrition, and Gut Microbiota in Children and Mothers from Pemba, Tanzania: Potential of Microbiota-Directed Interventions

BACKGROUND/OBJECTIVES

Despite efforts within the framework of the Sustainable Development Goal to end malnutrition by 2030, malnutrition and soil-transmitted helminth infections persist in sub-Saharan Africa. A significant barrier to success is the inadequate understanding of effective intervention methods. Most research on the gut microbiota's role in health has been conducted in developed countries, leaving a critical gap in knowledge regarding low-income populations. This study addresses this gap by expanding research on the gut microbiota of underprivileged populations to help tackle these public health challenges.

METHODS

We employed 16S rDNA sequencing to assess the bacterial gut microbiota composition of 60 children (mean age: 26.63 ± 6.36 months) and their 58 mothers (mean age: 30.03 ± 6.31 years) in Pemba, with a focus on helminth infection and nutritional status.

RESULTS

Our differential abundance analysis identified bacterial taxa that were significantly negatively associated with both helminth infections and malnutrition, highlighting the potential for microbiota-directed interventions to address these health issues simultaneously. Notably, we identified Akkermansia, Blautia, Dorea, and Odoribacter as promising probiotic candidates for such interventions. In stunted children, positive co-occurrences were observed between Lactobacillus, Prevotella, and Bacteroides, while Escherichia/Shigella displayed negative co-abundance relationships with short-chain fatty acid (SCFA) producers in the gut microbiota. These findings suggest that administering Lactobacillus and SCFA-producing probiotics to children may foster the growth of beneficial bacteria like Prevotella and Bacteroides while reducing the relative abundance of Escherichia/Shigella, potentially enhancing overall health.

CONCLUSIONS

This study underscores the importance of microbiota-directed interventions in children and women of reproductive age as promising strategies, alongside established approaches, for combating helminth infections and malnutrition in vulnerable populations.

An Update on the Diagnosis and Management of Faltering Growth and Catch-Up Growth in Young Children

BACKGROUND

The term "faltering growth" (FG) is widely used to refer to a slower rate of weight gain in childhood than expected for age and gender. The prevalence varies depending on the definition and the studied population. Early recognition is important when considering the short- and long-term consequences, which include reduced cognitive development and increased risk of morbidity and mortality.

SUMMARY

The causes of FG are traditionally classified into being either illness- or non-illness-related. However, such a rigid classification does not acknowledge the fact that poor growth may be multifactorial. While many definitions for FG exist, a recent consensus document suggested that a drop of weight-for-height of 1 z-score warrants the consideration for FG. The nutritional assessment supports the calculation of energy and protein requirements, which should be tailored to the underlying cause.

The Importance of Interprofessional Collaboration (IPC) Guidelines in Stunting Management in Indonesia: A Systematic Review

Background: Indonesia's stunting prevention programs have shown limited effectiveness and scalability. Interprofessional collaboration (IPC) is crucial for preventing and treating pediatric stunting. This study aimed to investigate the roles of primary health centers and IPC in addressing stunting in Indonesia. Methods: A systematic review was conducted, searching PubMed, EMBASE, Web of Science, ProQuest, and Google Scholar for studies up to November 2023. Two reviewers independently screened and included full-text articles that examined IPC and stunting, focusing on prevalence, policy implications, healthcare roles, community roles, preventive measures, and challenges. Results: The review included 52 articles. IPC was found to be critical in reducing stunting prevalence. Training improved the knowledge of health cadres, aiding in the early detection and prevention of stunting. The studies emphasized IPC's positive impact on stunting reduction across various regions. Policymakers are encouraged to adopt a comprehensive strategy involving collaboration, financial support, and effective program implementation. Conclusions: This study highlights IPC as essential in reducing stunting in Indonesia. Integrating stunting management into primary healthcare is recommended, with a call for developing guidelines to standardize and optimize the approach to this public health issue.

Caregiver perceptions of complementary feeding in rural and urban Indonesia: A qualitative comparative study

OBJECTIVE

To explore caregivers' perspectives on complementary feeding in rural and urban areas of Central Java, Indonesia.

DESIGN

A qualitative comparative study using in-depth interviews. We applied thematic analysis to identify themes and subthemes and presented representative quotes.

SETTING

Rural and urban villages in Central Java Province, Indonesia.

PARTICIPANTS

46 mothers and grandmothers of 6- to 23-month-old children.

FINDINGS

We identified five themes: 1) timing of food introduction, 2) types of complementary foods, 3) meal preparations, 4) complementary food benefits, and 5) expectations toward complementary foods. While caregivers in urban areas had more favourable perceptions of complementary feeding, some misperceptions existed regarding complementary feeding in both areas. These misconceptions included the age of complementary food introduction, the delay in introducing animal-source foods, and the emphasis on any food the child preferred as long as they ate rather than on healthy food choices.

KEY CONCLUSIONS

There were similarities and differences in complementary feeding perspectives between caregivers in rural and urban areas. Therefore, policymakers and public health workers should design interventions to enhance complementary feeding practices by addressing the contextual issues in specific settings.

Intermittent preventive treatment for malaria in pregnancy and infant growth: a mediation analysis of a randomised trial

BACKGROUND

Intermittent preventive treatment for malaria in pregnancy (IPTp) can improve birth outcomes, but whether it confers benefits to postnatal growth is unclear. We investigated the effect of IPTp on infant growth in Uganda and its pathways of effects using causal mediation analyses.

METHODS

We analysed data from 633 infants born to mothers enrolled in a randomised trial of monthly IPTp with dihydroartemisinin-piperaquine (DP) vs. sulfadoxine-pyrimethamine (SP) (NCT02793622). Weight and length were measured from 0 to 12 months of age. Using generalised linear models, we estimated effects of DP vs. SP on gravidity-stratified mean length-for-age (LAZ) and weight-for-length Z-scores (WLZ). We investigated mediation by placental malaria, gestational weight change, maternal anaemia, maternal inflammation-related proteins, preterm birth, birth length, and birth weight. Mediation models adjusted for infant sex, gravidity, gestational age at enrolment, maternal age, maternal parasitaemia at enrolment, education, and wealth.

FINDINGS

SP increased mean LAZ by 0.18-0.28 Z from birth through age 4 months compared to DP, while DP increased mean WLZ by 0.11-0.28 Z from 2 to 8 months compared to SP among infants of multigravidae; at these ages, confidence intervals for mean differences excluded 0. We did not observe differences among primigravida. Mediators of SP included birth weight, birth length, maternal stem cell factor, and DNER. Mediators of DP included placental malaria and birth length, maternal IL-18, CDCP1, and CD6 at delivery.

INTERPRETATION

In high malaria transmission settings, this exploratory study suggests different IPTp regimens may influence infant growth among multigravidae, potentially through distinct pathways, in the exclusive breastfeeding period, when few other interventions are available.

FUNDING

Stanford Center for Innovation in Global Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bill & Melinda Gates Foundation.

Associations of Maternal Nutritional Status and Supplementation with Fetal, Newborn, and Infant Outcomes in Low-Income and Middle-Income Settings: An Overview of Reviews

BACKGROUND/OBJECTIVES

Despite advances in maternal nutritional knowledge, the effect of maternal diet, micronutrient status and undernutrition, and the effect of maternal supplementation on fetal, neonatal and infant outcomes still have gaps in the literature. This overview of reviews is intended to assess the available information on these issues and identify the main maternal nutritional factors associated with offspring outcomes in low- and middle-income countries as possible targets for public health interventions.

METHODS

The literature search was performed in Medline (PubMed) and Cochrane Library datasets in June 2024. Pre-specified outcomes in offspring were pooled using standard meta-analytical methods.

RESULTS

We found consistent evidence on the impact of maternal undernutrition indicated by low body mass index (BMI), mid-upper arm circumference (MUAC), and stature, but not of individual micronutrient status, on intrauterine-growth retardation, preterm birth, low birth weight, and small for gestational age, with research showing a possible effect of maternal undernutrition in later child nutritional status. Studies on micronutrient supplementation showed possible beneficial effects of iron, vitamin D, and multiple micronutrients on birthweight and/or decreasing small for gestational age, as well as a possible effect of calcium on preterm birth reduction. Interventions showing more consistent beneficial outcomes were balanced protein-energy and lipid base supplements, which demonstrated improved weight in newborns from supplemented mothers and a decreased risk of adverse neonatal outcomes.

CONCLUSIONS

Further research is needed to identify the benefits and risks of maternal individual micronutrient supplementation on neonatal and further child outcomes.

Malnutrition in infants aged 6-23 months in China's poorest rural counties from 2016 to 2021: cross sectional study

OBJECTIVES

To assess trends and differences in child malnutrition by population subgroups among infants aged 6-23 months in China's poorest rural counties.

DESIGN

Six consecutive cross sectional surveys were conducted annually.

SETTING

The study was conducted in 116 counties in 19 provinces from 2016 to 2021, representing China's 832 poorest counties.

PARTICIPANTS

A total of 210 088 participants were selected through a multistage cluster sampling procedure; all participants were infants aged 6-23 months.

MAIN OUTCOME MEASURES

Prevalence of anaemia, stunting, wasting, overweight, and growth status in children (measured by length-for-age and weight-for-length z scores).

RESULTS

Four main malnutrition forms were prevalent in 2016: anaemia (prevalence 18.3%), stunting (7.5%), wasting (4.7%), and overweight (3.1%). The prevalence of any two coexisting malnutrition forms was low. All four forms of malnutrition decreased from 2016 to 2021. Anaemia decreased by more than half, with an annual reduction rate of 9.11% (95% confidence interval (CI) 4.83% to 13.20%). Stunting was reduced by over a third, with an annual reduction rate of 10.44% (7.56% to 13.22%), which is faster than the World Health Organization's target of 3.9%. Differences in child growth by county gross domestic product quarters were small and decreased over time, but growth differences related to education persisted. Infants whose mothers completed education up to primary school level had approximately twice the risk of stunting (adjusted rate ratio 2.29 (95% CI 1.87 to 2.81)) and wasting (1.73 (1.40 to 2.13)) compared with children whose mothers had an education level of a college degree or above. Boys had poorer growth and higher anaemia than did girls. For all outcomes, differences related to sex and education were greatest at 6 months of age.

CONCLUSIONS

Education related inequalities in growth of infants persists, with these differences particularly affecting children whose mothers completed education only up to primary school level.

Temporal Trends in the Prevalence of Child Undernutrition in China From 2000 to 2019, With Projections of Prevalence in 2030: Cross-Sectional Analysis

BACKGROUND

Although the problem of malnutrition among children in China has greatly improved in recent years, there is a gap compared to developed countries, and there are differences between provinces. Research on long-term comprehensive trends in child growth failure (CGF) in China is needed for further improvement.

OBJECTIVE

The purpose of this study was to examine trends in stunting, wasting, and underweight among children younger than 5 years in China from 2000 to 2019, and predict CGF till 2030.

METHODS

We conducted a cross-sectional analysis using data from the local burden of disease (LBD) database. Using Joinpoint Regression Software, we examined trends in CGF among children younger than 5 years in China from 2000 to 2019, and predicted the trends of prevalence in 2030, using the Holt-Winters model with trends but without seasonal components. The assessment was performed with Stata 17 (StataCorp). Data were analyzed from October 17, 2023, to November 22, 2023.

RESULTS

In 2019, the prevalences of stunting, wasting, and underweight decreased to 12%, 3%, and 4%, respectively (decreases of 36.9%, 25.0%, and 42.9%, respectively, compared with the values in 2000). The prevalence of CGF decreased rapidly from 2000 to 2010, and the downward trend slowed down after 2010. Most provinces had stagnated processes of trends after 2017. The age group with the highest stunting prevalence was children aged 1 to 4 years, and the highest prevalence of wasting and underweight was noted in early neonatal infants. From 2000 to 2019, the prevalence of CGF declined in all age groups of children. The largest relative decrease in stunting and underweight was noted in children aged 1 to 4 years, and the largest decrease in wasting was noted in early neonatal infants. The prevalences of stunting, wasting, and underweight in China are estimated to decrease to 11.4%, 3.2%, and 4.1%, respectively, by 2030. China has nationally met the World Health Organization's Global Nutrition Targets for 2030 for stunting but not for wasting.

CONCLUSIONS

This study provides data on the prevalence and trends of CGF among children younger than 5 years and reports declines in CGF. There remain areas with slow progress in China. Most units have achieved the goal for stunting prevalence but not wasting prevalence.

Effect of heat stress in the first 1000 days of life on fetal and infant growth: a secondary analysis of the ENID randomised controlled trial

BACKGROUND

The intersecting crises of climate change, food insecurity, and undernutrition disproportionately affect children. Understanding the effect of heat on growth from conception to 2 years of age is important because of mortality and morbidity implications in the near term and over the life course.

METHODS

In this secondary analysis, we used longitudinal pregnancy cohort data from the Early Nutrition and Immunity Development (ENID) randomised controlled trial in West Kiang, The Gambia, which occurred between Jan 20, 2010, and Feb 10, 2015. The ENID trial assessed micronutrient supplementation in the first 1000 days of life starting from 20 weeks' gestation, during which anthropometric measurements were collected prospectively. We used multivariable linear regression to assess the effect of heat stress (defined by Universal Thermal Climate Index [UTCI]) on intrauterine growth restriction based on length-for-gestational age Z score (LGAZ), weight-for-gestational age Z score (WGAZ), and head circumference-for-gestational age Z score (HCGAZ) at birth, and assessed for effect modification of supplement intervention on the relationship between heat stress and infant anthropometry. We used multivariable, multilevel linear regression to evaluate the effect of heat stress on infant growth postnatally based on weight-for-height Z score (WHZ), weight-for-age Z score (WAZ), and height-for-age Z score (HAZ) from 0 to 2 years of age.

FINDINGS

Complete data were available for 668 livebirth outcomes (329 [49%] female infants and 339 [51%] male infants). With each 1°C increase in mean daily maximum UTCI exposure, in the first trimester, we observed a reduction in WGAZ (-0·04 [95% CI -0·09 to 0·00]), whereas in the third trimester, we observed an increase in HCGAZ (0·06 [95% CI 0·00 to 0·12]), although 95% CIs included 0. Maternal protein-energy supplementation in the third trimester was associated with reduced WGAZ (-0·16 [-0·30 to -0·02]) with each 1°C increase in mean daily maximum UTCI exposure, while no effect of heat stress on WGAZ was found with either standard care (iron and folate) or multiple micronutrient supplementation. For the postnatal analysis, complete anthropometric data at 2 years were available for 645 infants (316 [49%] female infants and 329 [51%] male infants). Postnatally, heat stress effect varied by infant age, with infants aged 6-18 months being the most affected. In infants aged 12 months exposed to a mean daily UTCI of 30°C (preceding 90-day period) versus 25°C UTCI, we observed reductions in mean WHZ (-0·43 [95% CI -0·57 to -0·29]) and mean WAZ (-0·35 [95% CI -0·45 to -0·26]). We observed a marginal increase in HAZ with increasing heat stress exposure at age 6 months, but no effect at older ages.

INTERPRETATION

Our results suggest that heat stress impacts prenatal and postnatal growth up to 2 years of age but sensitivity might vary by age. In the context of a rapidly warming planet, these findings could have short-term and long-term health effects for the individual, and immediate and future implications for public child health.

FUNDING

Wellcome Trust.

Effects of prenatal small-quantity lipid-based nutrient supplements on pregnancy, birth, and infant outcomes: a systematic review and meta-analysis of individual participant data from randomized controlled trials in low- and middle-income countries

BACKGROUND

Undernutrition during pregnancy increases the risk of giving birth to a small vulnerable newborn. Small-quantity lipid-based nutrient supplements (SQ-LNSs) contain both macro- and micronutrients and can help prevent multiple nutritional deficiencies.

OBJECTIVES

We examined the effects of SQ-LNSs provided during pregnancy compared with 1) iron and folic acid or standard of care (IFA/SOC) or 2) multiple micronutrient supplements (MMSs) and identified characteristics that modified the estimates of effects of SQ-LNSs on birth outcomes.

METHODS

We conducted a 2-stage meta-analysis of individual participant data from 4 randomized controlled trials of SQ-LNSs provided during pregnancy (n = 5273). We generated study-specific and subgroup estimates of SQ-LNS compared with IFA/SOC or MMS and pooled the estimates. In sensitivity analyses, we examined whether the results differed depending on methods for gestational age dating, birth anthropometry, or study design.

RESULTS

SQ-LNSs (compared with IFA/SOC) increased birth weight [mean difference: +49 g; 95% confidence interval (CI): 26, 71 g] and all birth anthropometric z-scores (+0.10-0.13 standard deviation); they reduced risk of low birth weight by 11%, newborn stunting by 17%, newborn wasting by 11%, and small head size by 15%. Only 2 trials compared SQ-LNSs and MMSs; P values for birth outcomes were >0.10 except for head circumference (e.g., z-score for gestational age: +0.11; 95% CI: -0.01, 0.23). Effect estimates for SQ-LNSs compared with IFA/SOC were greater among female infants and, for certain outcomes, among mothers with body mass index <20 kg/m2, inflammation, malaria, or household food insecurity. Effect estimates for SQ-LNSs compared with MMSs were greater for certain outcomes among female infants, first-born infants, and mothers <25 y.

CONCLUSIONS

SQ-LNSs had positive impacts on multiple outcomes compared to IFA/SOC, but further research directly comparing SQ-LNSs and MMSs is needed. Targeting SQ-LNSs to vulnerable subgroups may be worth considering.

CLINICAL TRIAL REGISTRY

This study was registered at PROSPERO as CRD42021283391.

Using formative research to enhance our understanding of implementation contexts: Preparing for a trial of maternal nutrition interventions

Formative research to understand the sociocultural and economic context into which interventions are introduced can help to maximize the uptake of interventions both in the context of effectiveness trials and ultimately for nutrition programs. Findings from the formative research study were used to inform different facets of the design of the effectiveness trial including providing evidence of the acceptability of the product, informing the decision to deliver the product to women's homes, and developing strategies to support adherence.

Malnutrition: From Mother to Child

Malnutrition in children, defined as a child who is more than 2 standard deviations below the norm for height- or weight-for-age, is a pervasive, population-wide problem in low- and middle-income countries. Malnutrition is associated with increased infant mortality and delayed neurocognitive development. A recent pooled analysis of more than 30 longitudinal cohort studies demonstrated that the conditions mothers lived in during pregnancy, and their access to adequate nutrition, was a major factor in the subsequent growth and health of their children. We review here this analysis and the hypothesis that interventions to address childhood malnutrition need to start before birth and continue throughout the critical first 1,000 days of life.

Pathways through which intermittent preventive treatment for malaria in pregnancy influences child growth faltering: a mediation analysis

Background

Intermittent preventive treatment for malaria in pregnancy (IPTp) can improve birth outcomes, but whether it confers benefits to postnatal growth is unclear. We investigated the effect of IPTp on infant growth in Uganda and its pathways of effects using causal mediation analyses.

Methods

We analyzed data from 633 infants born to mothers enrolled in a randomized trial of monthly IPTp with dihydroartemisinin-piperaquine (DP) vs sulfadoxine-pyrimethamine (SP) (NCT02793622). Weight and length were measured from 0-12 months of age. Using generalized linear models, we estimated effects of DP vs. SP on gravidity-stratified mean length-for-age (LAZ) and weight-for-length Z-scores (WLZ). We investigated mediation by placental malaria, gestational weight change, maternal anemia, maternal inflammation-related proteins, preterm birth, birth length, and birth weight. Mediation models adjusted for infant sex, gravidity, gestational age at enrollment, maternal age, maternal parasitemia at enrollment, education, and wealth.

Findings

SP increased LAZ by 0.18-0.28 Z from birth through age 4 months compared to DP, while DP increased WLZ by 0.11-0.28 Z from 2-8 months compared to SP among infants of multigravidae. We did not observe these differences among primigravida. Mediators of SP included increased birth weight and length and maternal stem cell factor at delivery. Mediators of DP included placental malaria and birth length, maternal IL-18, CDCP1, and CD6 at delivery.

Interpretation

In high malaria transmission settings, different IPTp regimens influenced infant growth among multigravidae through distinct pathways in the period of exclusive breastfeeding, when few other interventions are available.

Funding

Stanford Center for Innovation and Global Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bill & Melinda Gates Foundation.

Associations between Antenatal Care Visit Attendance and Infant Mortality and Growth

This study examines the association between antenatal care (ANC) attendance and infant mortality and growth outcomes. The study used data from the Nouveux-nés et Azithromycine: une Innovation dans le Traitement des Enfants (NAITRE) trial conducted in Burkina Faso. This analysis included 21,795 neonates aged 8 to 27 days who were enrolled in the trial and had ANC data available. Infants were followed until 6 months of age. The analysis adjusted for potential confounders including infant's sex, maternal age, education, urbanicity, geographic region, season (dry versus rainy), pregnancy type (singleton versus multiple), number of previous pregnancies, if the infant was breastfed, and if the facility had an onsite physician to account for level of care. We used logistic and linear regression models to evaluate the association between ANC visits and all-cause infant mortality and infant growth measurements at 6 months. There was no significant association between ANC visits and 6-month mortality. Higher ANC attendance was associated with improved growth outcomes in infants at 6 months of age. After adjusting for potential confounders, each additional ANC visit was associated with a 0.03 kg increase in mean weight, 0.07 cm increase in mean length, 0.04 SD increase in mean mid-upper-arm circumference, 0.04 SD increase in mean height-for-age, 0.04 SD mean weight-for-age, and 0.02 SD mean weight-for-length Z-scores. These mean differences were statistically significant (except for weight-for-length Z-scores) but may not be clinically meaningful. Further research is warranted to explore the relationship between ANC attendance and longer-term health outcomes among infants.

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations.

METHODS

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds.

FINDINGS

The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles.

INTERPRETATION

Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere.

FUNDING

Bill & Melinda Gates Foundation.

Comparison of growth patterns in the first year of life between term small for gestational age and appropriate for gestational age South Indian infants

BACKGROUND

Early life growth trajectories of Indian small for gestational age (SGA) infants are sparse. This study aimed to compare longitudinal growth in appropriate for gestational age (AGA) and SGA infants during their first year of life.

METHODS

Apparently healthy term infants (52 SGA, 154 AGA) were recruited at birth and followed up till 1 year. Parental, sociodemographic characteristics and feeding patterns were recorded. Anthropometric measurements were assessed at birth, 3, 6, 9 and 12 months of age; Z scores and growth velocity at 3-month intervals were computed. Longitudinal measurements were compared between the two groups, using the two-way Friedmans test. Median regression with mixed effects was used to adjust covariates; p value <0.05 was considered statistically significant.

RESULT

AGA infants had significantly higher median weight (kg) (2.87 (2.67, 3.04) vs 2.39 (2.25, 2.54)) at birth, (7.08 (6.50, 7.54) vs 6.49 (6.13, 6.78)) at 6 months, (8.64 (7.92, 9.14) vs 7.90 (7.36, 8.54)) at 12 months, median length (cm) ((48.10 (47.20, 49.30) vs 46.75 (45.43, 47.50)) at birth, (65.50 (64.23, 66.98) vs 63.33 (62.26, 65.28)) at 6 months, (73.30 (71.58, 74.66) vs 71.55 (70.00, 73.30)) at 12 months. SGA infants had comparable weight velocity at all intervals except 9-12 months (6.62 (6.45, 6.79) vs (6.70 (6.51, 6.85)), being significantly higher than AGA infants. Differences in skinfold thicknesses between groups were observed only at birth. Exclusivity of breast feeding was significantly higher at 3 months in AGA, compared to SGA infants (80.9% vs 57.8%). Length velocity was comparable at all ages between groups. Sexual dimorphism was observed in the growth velocities of both groups.

CONCLUSION

SGA infants grew in parallel to AGA infants, having significantly lower anthropometric measurements at all time points. However, growth velocities were similar; SGA infants had significantly higher weight velocity from 9 to 12 months. Longitudinal studies beyond 1 year of age, using body composition are needed to determine the quality of growth in Indian infants.

Effect of high-calorie formula on weight, height increment, IGF-1 and TLC in growth faltering children: A quasi-experimental study

High-calorie formulas have been used to promote catch-up growth in undernourished children. The level of insulin-like growth factor 1 (IGF-1) is closely related to weight and nutritional intake, whereas low a total lymphocyte count (TLC) is associated with impaired immune system function in undernourished children. This study was conducted to investigate the effect of high-calorie formula as an intervention on weight, height increment, IGF-1 and TLC in children with growth faltering or undernutrition. A quasi-experimental study with pre- and post-design was conducted in the outpatient clinic of a private hospital during October 2021-July 2022 on children with growth failure and underlying infection. For 90 days, subjects were given a high-calorie formula. An enzyme-linked immunosorbent assay was then conducted to measure IGF-1, followed by a complete blood count examination. Subjects were divided into two groups based on age: Group 1 (12-24 months) and Group 2 (>24-60 months). There was a significant increment in body weight and body length/height after intervention but no significant difference between the groups. The increment of body length/height after intervention was greater in Group 1 than Group 2 (p = 0.000) and reduced the incidence of stunted/severely stunted and wasted/severely wasted children (p > 0.05). IGF-1 increased after the intervention but with no significant difference (1.42 ± 8.31 ng/ml; p = 0.144). There was a significant reduction in TLC after the intervention (1194.34 + 4400.34 cells/mm3; p = 0.002) that was reduced in Group 1 and slightly increased in Group 2 (p = 0.003). Being underweight/severely underweight increased the risk of a low TLC by 27.658-fold but this risk was reduced by 25.904-fold after nutritional intervention. High-calorie formula intervention increases body weight and body length/height, reduces the incidence of underweight, stunted and wasted children and improves IGF-1 levels.

Influence of Sociodemographic Factors on Stunting, Wasting, and Underweight Among Children Under Two Years of Age Born During the COVID-19 Pandemic in Central India: A Cross-Sectional Study

Introduction The adverse effects of the coronavirus disease 2019 (COVID-19) pandemic on maternal and reproductive health extend beyond the immediate morbidity and mortality attributed directly to the disease. Pandemic-induced disruptions in the healthcare, social and economic infrastructures can exacerbate the already high burden of childhood undernutrition in India. Method A cross-sectional study was conducted in a selected district of the central Indian province of Madhya Pradesh. Data was collected from eligible children born during the COVID-19 pandemic (February 2020 to December 2021) who visited a selected tertiary care hospital for routine immunization during the study period. Weight-for-length, weight-for-age, and length-for-age were compared with reference values to obtain corresponding z-scores. Children with z-scores two standard deviations below the reference values were considered wasting, underweight and stunting, respectively. Descriptive statistics were employed to summarise the sociodemographic characteristics of participants. The association of sociodemographic, nutritional, and pregnancy-related factors with the z-scores were assessed via unpaired t-test and ANOVA. Result The studied 147 children were in the age group of nine to 29 months, of which 61 (58.1%) were males. Forty-two (28.6%) were found to be underweight, 22 (14.9%) had wasting and 51 (34.7%) were stunted. These prevalences were comparable to the estimates of the National Family Health Survey 2019-2021 (NFHS-5) for Madhya Pradesh and lower than the NFHS-4 (2015-2016), showing no discernible effect of being born during the pandemic on growth indicators. However, mothers' employment and family income were independent predictors of stunting whereas gestational age at birth, maternal education, and prolonged breastfeeding were all substantially linked with wasting in this study. Conclusion This study adds to the evidence base by reporting the prevalence of stunting, wasting and underweight along with their determinants in central India among children born during the COVID-19 pandemic. Our data did not reflect the expected increase in child malnutrition due to the COVID-19 pandemic-related disruptions in healthcare, social and economic infrastructure. Future research should incorporate the lessons learnt from our study to design a population-based study of under-five children and compare the prevalence of undernutrition in pandemic-born versus non-pandemic-born children.

Birth-to-childhood tracking of linear growth and weight gain in the MINA-Brazil Study

OBJECTIVE

To investigate birth-to-childhood tracking of linear growth and weight gain across the distribution of length/height and weight for age z-scores and according to household wealth.

METHODS

Data from 614 children from the MINA-Brazil Study with repeated anthropometric measurements at birth and up to age five years were used. Z-scores were calculated for length/height (HAZ) and weight (WAZ) according to international standards. Birth-to-childhood tracking was separately estimated using quantile regression models for HAZ and WAZ, extracting coefficients and 95% confidence intervals (95%CI) at the 25th, 50th, and 75th quantiles. In a subgroup analysis, we estimated tracking between birth and age two years, and between ages two and five years. To investigate disparities in tracking, interaction terms between household wealth indexes (at birth and age five years) and newborn size z-scores were included in the models.

RESULTS

Tracking coefficients were significant and had similar magnitude across the distribution of anthropometric indices at age five years (HAZ, 50th quantile: 0.23, 95%CI: 0.11 to 0.35; WAZ, 50th quantile: 0.31, 95%CI: 0.19 to 0.43). Greater tracking was observed between ages two and five years, with coefficients above 0.82. Significantly higher tracking of linear growth was observed among children from wealthier households, both at birth, at the lower bounds of HAZ distribution (25th quantile: 0.30, 95%CI: 0.13 to 0.56), and during childhood, in the entire HAZ distribution at five years. For weight gain, stronger tracking was observed at the upper bounds of WAZ distribution at age five years among children from wealthier households at birth (75th quantile: 0.59, 95%CI: 0.35 to 0.83) and during childhood (75th quantile: 0.54, 95%CI: 0.15 to 0.93).

CONCLUSION

There was significant tracking of HAZ and WAZ since birth, with indication of substantial stability of nutritional status between ages two and five years. Differential tracking according to household wealth should be considered for planning early interventions for preventing malnutrition.

Prevalence and Correlates of Stunting among a High-Risk Population of Kenyan Children Recently Hospitalized for Acute Illnesses

Stunting (length/height-for-age z-score < -2) is associated with significant morbidity and mortality among children under 5 years of age in sub-Saharan Africa. Children who are stunted and recently hospitalized for acute illness may be at particularly elevated risk for post-discharge mortality. In this cross-sectional analysis, we measured the prevalence of stunting at hospital discharge and identified host, caregiver, and environmental correlates of stunting among children aged 1-59 months in Western Kenya enrolled in the Toto Bora Trial. Child age- and site-adjusted prevalence ratios were estimated using Poisson regression. Of the 1,394 children included in this analysis, 23% were stunted at hospital discharge. Older children (12-23 months and 24-59 months versus 0-5 months) had a higher prevalence of stunting (adjusted prevalence ratio [aPR]: 1.58; 95% CI: 1.04-2.36 and aPR: 1.59; 95% CI: 1.08-2.34, respectively). HIV-exposed, uninfected children (aPR: 1.94; 95% CI: 1.39-2.70), children with HIV infection (aPR: 2.73; 95% CI: 1.45-5.15), and those who were never exclusively breastfed in early life (aPR 2.51; 95% CI: 1.35-4.67) were more likely to be stunted. Caregiver education (primary school or less) and unimproved sanitation (pit latrine without slab floor or open defecation) were associated with increased risk of stunting (aPR: 1.94; 95% CI: 1.54-2.44; aPR: 1.99; 95% CI: 1.20-3.31; aPR: 3.57; 95% CI: 1.77-7.21, respectively). Hospital discharge represents an important opportunity for both identifying and delivering targeted interventions for nutrition-associated poor outcomes among a high-risk population of children.

Single-dose azithromycin for infant growth in Burkina Faso: Prespecified secondary anthropometric outcomes from a randomized controlled trial

BACKGROUND

Antibiotic use during early infancy has been linked to childhood obesity in high-income countries. We evaluated whether a single oral dose of azithromycin administered during infant-well visits led to changes in infant growth outcomes at 6 months of age in a setting with a high prevalence of undernutrition in rural Burkina Faso.

METHODS AND FINDINGS

Infants were enrolled from September 25, 2019, until October 22, 2022, in a randomized controlled trial designed to evaluate the efficacy of a single oral dose of azithromycin (20 mg/kg) compared to placebo when administered during well-child visits for prevention of infant mortality. The trial found no evidence of a difference in the primary endpoint. This paper presents prespecified secondary anthropometric endpoints including weight gain (g/day), height change (mm/day), weight-for-age Z-score (WAZ), weight-for-length Z-score (WLZ), length-for-age Z-score (LAZ), and mid-upper arm circumference (MUAC). Infants were eligible for the trial if they were between 5 and 12 weeks of age, able to orally feed, and their families were planning to remain in the study area for the duration of the study. Anthropometric measurements were collected at enrollment (5 to 12 weeks of age) and 6 months of age. Among 32,877 infants enrolled in the trial, 27,298 (83%) were followed and had valid anthropometric measurements at 6 months of age. We found no evidence of a difference in weight gain (mean difference 0.03 g/day, 95% confidence interval (CI) -0.12 to 0.18), height change (mean difference 0.004 mm/day, 95% CI -0.05 to 0.06), WAZ (mean difference -0.004 SD, 95% CI -0.03 to 0.02), WLZ (mean difference 0.001 SD, 95% CI -0.03 to 0.03), LAZ (mean difference -0.005 SD, 95% CI -0.03 to 0.02), or MUAC (mean difference 0.01 cm, 95% CI -0.01 to 0.04). The primary limitation of the trial was that measurements were only collected at enrollment and 6 months of age, precluding assessment of shorter-term or long-term changes in growth.

CONCLUSIONS

Single-dose azithromycin does not appear to affect weight and height outcomes when administered during early infancy.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03676764.

Early-childhood linear growth faltering in low- and middle-income countries

Globally, 149 million children under 5 years of age are estimated to be stunted (length more than 2 standard deviations below international growth standards)1,2. Stunting, a form of linear growth faltering, increases the risk of illness, impaired cognitive development and mortality. Global stunting estimates rely on cross-sectional surveys, which cannot provide direct information about the timing of onset or persistence of growth faltering-a key consideration for defining critical windows to deliver preventive interventions. Here we completed a pooled analysis of longitudinal studies in low- and middle-income countries (n = 32 cohorts, 52,640 children, ages 0-24 months), allowing us to identify the typical age of onset of linear growth faltering and to investigate recurrent faltering in early life. The highest incidence of stunting onset occurred from birth to the age of 3 months, with substantially higher stunting at birth in South Asia. From 0 to 15 months, stunting reversal was rare; children who reversed their stunting status frequently relapsed, and relapse rates were substantially higher among children born stunted. Early onset and low reversal rates suggest that improving children's linear growth will require life course interventions for women of childbearing age and a greater emphasis on interventions for children under 6 months of age.

Child wasting and concurrent stunting in low- and middle-income countries

Sustainable Development Goal 2.2-to end malnutrition by 2030-includes the elimination of child wasting, defined as a weight-for-length z-score that is more than two standard deviations below the median of the World Health Organization standards for child growth1. Prevailing methods to measure wasting rely on cross-sectional surveys that cannot measure onset, recovery and persistence-key features that inform preventive interventions and estimates of disease burden. Here we analyse 21 longitudinal cohorts and show that wasting is a highly dynamic process of onset and recovery, with incidence peaking between birth and 3 months. Many more children experience an episode of wasting at some point during their first 24 months than prevalent cases at a single point in time suggest. For example, at the age of 24 months, 5.6% of children were wasted, but by the same age (24 months), 29.2% of children had experienced at least one wasting episode and 10.0% had experienced two or more episodes. Children who were wasted before the age of 6 months had a faster recovery and shorter episodes than did children who were wasted at older ages; however, early wasting increased the risk of later growth faltering, including concurrent wasting and stunting (low length-for-age z-score), and thus increased the risk of mortality. In diverse populations with high seasonal rainfall, the population average weight-for-length z-score varied substantially (more than 0.5 z in some cohorts), with the lowest mean z-scores occurring during the rainiest months; this indicates that seasonally targeted interventions could be considered. Our results show the importance of establishing interventions to prevent wasting from birth to the age of 6 months, probably through improved maternal nutrition, to complement current programmes that focus on children aged 6-59 months.