OBJECTIVE: To evaluate predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition Indicators to diagnose pediatric malnutrition (AAIMp) and the Screening Tool for Risk on Nutritional Status and Growth (STRONGkids) in regard to pediatric patient outcomes in US hospitals.
METHODS: A prospective cohort study (Clinical Trial Registry: NCT03928548) was completed from August 2019 through January 2023 with 27 pediatric hospitals or units from 18 US states and Washington DC.
RESULTS: Three hundred and forty-five children were enrolled in the cohort (n=188 in the AAIMp validation subgroup). There were no significant differences in the incidence of emergency department (ED) visits and hospital readmissions, hospital length of stay (LOS), or healthcare resource utilization for children diagnosed with mild, moderate, or severe malnutrition using the AAIMp tool compared with children with no malnutrition diagnosis. The STRONGkids tool significantly predicted more ED visits and hospital readmissions for children at moderate and high malnutrition risk (moderate risk - incidence rate ratio [IRR] 1.65, 95% confidence interval [CI]: 1.09, 2.49, p = 0.018; high risk - IRR 1.64, 95% CI: 1.05, 2.56, p = 0.028) and longer LOS (43.8% longer LOS, 95% CI: 5.2%, 96.6%, p = 0.023) for children at high risk compared with children at low risk after adjusting for patient characteristics.
CONCLUSIONS: Malnutrition risk based on the STRONGkids tool predicted poor medical outcomes in hospitalized US children; the same relationship was not observed for a malnutrition diagnosis based on the AAIMp tool.

BACKGROUND: Timely and accurate screening of malnutrition at the community level is essential to identifying malnourished children. The World Health Organization (WHO) guidelines classify non-oedematous acute malnutrition among children using mid-upper arm circumference (MUAC) or weight-for-height Z-score (WHZ). Study Design: A cross-sectional study.
METHODS: This study was conducted among children aged 6‒60 months. After necessary exclusions, 433 participants were selected using a multi-stage simple random sampling method. Using WHO guidelines for global acute malnutrition (GAM) [WHZ<-2, MUAC<12.5 cm], the sensitivity (Se), specificity (Sp), predictive values, likelihood ratios, Youden index, and receiver operating characteristic (ROC) curve were calculated for MUAC using WHZ as the criterion.
RESULTS: Out of 433 participants, 30% were diagnosed with GAM using WHZ, while 17.6% were found malnourished using MUAC measurements. As per WHO cut-offs, the Se, Sp, positive predictive value (PPV), negative predictive value (NPV), Youden index, positive likelihood ratio (LR+), and negative likelihood ratio (LR-) of MUAC were 48%, 96%, 83%, 81%, 0.44, 12, and 0.54, respectively. The ROC curve displayed an area under the curve of 0.86 (95% confidence interval=0.83, 0.90) for MUAC<12.5 cm. Bivariate Pearson correlation also demonstrated a positive linear relationship (R2=0.302) between the WHZ and MUAC variables.
CONCLUSIONS: Based on the findings, 48% of the children were correctly identified by the MUAC with an 83% probability of GAM (PPV=0.83). Moreover, there was 96% Sp in non-malnourished children, with only 4% false positives. Therefore, personnel at the grassroots level can use MUAC for timely and accurate screening of children in Anganwadi centers (AWCs) due to its ease of use and simplicity.

Despite a remarkable reduction in global poverty and famines, substantial childhood malnutrition continues to persist. In 2017, over 50 million and 150 million young children suffered from acute malnutrition (wasting) and chronic malnutrition (stunting), respectively. Yet, the measurable impact of determinants is obscure. We evaluate proposed socio-environmental related determinants of stunting and wasting across Kenya and Nigeria and quantify their effectiveness. We combine health and demographic data from Kenya and Nigeria Demographic Health Surveys (2003, 2008-2009, 2013, 2014) with spatially explicit precipitation, temperature, and vegetation data. Geospatial and disaggregated data help to understand better who is at risk and where to target mitigation efforts. We evaluate the responsiveness of malnutrition indicators using a four-level random intercept hierarchical generalized logit model. We find that spatial and hierarchical relationships explain 28% to 36% of malnutrition outcome variation. Temporal variation in precipitation, temperature, and vegetation corresponds with more than a 50% change in malnutrition rates. Wasting is most impacted by mother\'s education, family wealth, clinical delivery, and vaccinations. Stunting is most impacted by family wealth, mother\'s education, clinical delivery, vaccinations, and children asymptomatic of fever, cough, or diarrhea. Remotely monitored climatic variables are powerful determinants, however, their effects are inconsistent across different indicators and locations.

Several strategies, programs and policies have long been developed and implemented to alleviate child malnutrition in sub-Saharan African countries. However, stunting and wasting still persist at an alarming rate, suggesting that alternative strategies are needed to induce faster progress toward the 2030 SDGs targets of reducing malnutrition. Gut microbiota-directed intervention is now being recognized as an unconventional powerful approach to mitigate malnutrition and improve overall child health. In an African setting, manufactured probiotic and synbiotic foods or supplements may not be successful owing to the non-affordability and high attachment of African populations to their food tradition. This review analyses the potential of indigenous fermented cereal-based products including porridges, doughs, beverages, bread- and yoghurt-like products, to be used as microbiota-directed foods for over 6 months children. The discussion includes relevant strategies to effectively enhance the beneficial effects of these products on gut microbiota composition for improved child health and nutrition in sub-Saharan Africa. Characterization of probiotic features and general safety of food processing in sub-Saharan Africa as well as randomized clinical studies are still lacking to fully ascertain the health effects and suitability of these fermented foods in preventing and treating child malnutrition and diarrhea.

BACKGROUND: This study examines the health problems and healthcare needs of refugee and asylum-seeker children and aims to develop strategies for improvement.
METHODS: Based on quantitative data from 448 refugee and asylum-seeker children and 222 non-refugee local children, this study was conducted at Düzce University, Department of Paediatrics, between 2010 and 2021. The refugee children originated from three countries: Iraq (n = 304), Syria (n = 101) and Afghanistan (n = 43). The data were analysed using the SPSS data analysis program. Ethical clearance was obtained from the Ethics Committee of Düzce Üniversity.
RESULTS: The results suggest that refugee and asylum-seeker children have significantly higher rates of acute illness or infection, malnutrition (p < 0.001) and anaemia (p < 0.001) than local children as a result of living in overcrowded families (p = 0.017) and unhealthy conditions. Adolescent pregnancy (p = 0.049) emerges as an important social problem as a result of child marriage among refugee children, mostly in the form of consanguineous marriages (p < 0.001). The rate of having at least two adolescent pregnancies (under 18) was highest among Syrian refugee girls (p = 0.01). Although refugee and asylum-seeker children have higher rates of health insurance (between 74% and 95%), they have lower rates of insurance compared to local children. This research also compares the data from three nationalities, including Syria, Afghanistan and Iraq children; Iraqi and Afghan children under the international protection (IP) system with limited social support and rights had worse health conditions compared to other groups. Although Iraqi children had the highest rates of health insurance on admission (p < 0.001), they also had higher rates of chronic diseases (p = 0.001), infections (p = 0.004), allergic rhinitis (p = 0.001) and malnutrition (p < 0.001). The youngest age of admission (p = 0.006) and the shortest length of stay (p = 0.004) were for Afghan children who also had higher rates of upper respiratory infections (p = 0.021).
CONCLUSIONS: This study highlights the urgent need for improved screening programmes and the importance of collaborative efforts to address the specific health needs of these populations. Addressing the health status of child refugees is a complex and multifaceted task that requires the active participation of healthcare professionals, policymakers and researchers, each of whom has a crucial role to play.

In Africa, the number of children under 5 years old who suffer from stunting and wasting are, respectively, 61.4 and 12.1 million, and to manage situations like these, emergency food products like RUTF and RUSF (ready-to-use therapeutic/supplementary food) are very useful. The aim of this study was to develop an RUSF biscuit using the low-cost food resources usually present in Sub-Saharan Africa (Burundi and the DRCongo in our case study); we conducted chemical characterization, nutritional evaluation, and a stability trial simulating the usual storage conditions in a rural context to demonstrate that RUSF can be functional also using low-cost ingredients and a simple method of production. The obtained recipes showed good potential in supplying protein integration-17.81% (BUR) and 16.77% (CON) (% as food) were the protein contents-and the protein digestibility values were very high (BUR: 91.72%; CON: 92.01%). Moreover, 30% of the daily requirement was achieved with less than 50 g of both recipes in all the considered ages. Finally, a good shelf-life was demonstrated during the 35-day testing period at 30 °C, considering moisture, texture, and lipid oxidation evolution. Recipes like these, with appropriate changes, could be very useful in all contexts where child malnutrition is a serious problem.

Treating children with acute malnutrition can be challenging, particularly regarding access to healthcare facilities during treatment. Task shifting, a strategy of transferring specific tasks to health workers with shorter training and fewer qualifications, is being considered as an effective approach to enhancing health outcomes in primary healthcare. This study aimed to assess the effectiveness of integrating the treatment of acute malnutrition by community health volunteers into integrated community case management in two sub-counties in northern Kenya (Loima and Isiolo). We conducted a two-arm non-inferiority cluster-randomized controlled trial across 20 community health units. Participants were children aged 6-59 months with uncomplicated acute malnutrition. In the intervention group, community health volunteers used simplified tools and protocols to identify and treat eligible children at home and provided the usual integrated community case management package. In the control group, community health volunteers provided the usual integrated community case management package only (screening and referral of the malnourished children to the health facilities). The primary outcome was recovery (MUAC ≥12.5 cm for 2 consecutive weeks). Results show that children in the intervention group were more likely to recover than those in the control group [73 vs 50; risk difference (RD) = 26% (95% CI 12 to 40) and risk ratio (RR) = 2 (95% CI 1.2 to 1.9)]. The probability of defaulting was lower in the intervention group than in the control group: RD = -21% (95% CI -31 to -10) and RR = 0.3 (95% CI 0.2 to 0.5). The intervention reduced the length of stay by about 13 days, although this was not statistically significant and varied substantially by sub-county. Integrating the treatment of acute malnutrition by community health volunteers into the integrated community case management programme led to better malnutrition treatment outcomes. There is a need to integrate acute malnutrition treatment into integrated community case management and review policies to allow community health volunteers to treat uncomplicated acute malnutrition.

This study investigates the socioeconomic determinants of early childhood development (ECD) in Pakistan by utilizing the data of sixth wave of the Multiple Indicator Cluster Survey (MICS) conducted in the four provinces of the country. The findings of the study reveal that mother\'s education, father\'s education, economic status of the household as measured by household\'s wealth index quintile, region of residence (province), child\'s gender, disability, nutrition and the practices used by the adult members of the household to discipline child are important determinants of ECD. The study highlights the crucial role of family background and importance of addressing the issue of malnutrition to foster child development.

Background: Community-based nutrition interventions have been established as the standard of care for identifying and treating acute malnutrition among children 6-59 months in low- and lower-middle-income countries. However, limited research has examined the factors that influence the implementation of the community-based component of interventions that address severe acute malnutrition and moderate acute malnutrition among children. Aim: The objective of this review was to identify and describe the facilitators and barriers in implementing complex community-based nutrition interventions to address acute malnutrition among children in low- and lower-middle-income countries. Methods: This review used a systematic search strategy to identify existing peer-reviewed literature from three databases on complex community-based interventions (defined as including active surveillance, treatment, and education in community settings) to address severe acute malnutrition and moderate acute malnutrition in children. Results: In total, 1771 sources were retrieved from peer-reviewed databases, with 38 sources included in the review, covering 26 different interventions. Through an iterative deductive and inductive analysis approach, three main domains (household and interpersonal, sociocultural and geographical; operational and administrative) and eight mechanisms were classified, which were central to the successful implementation of complex community-based interventions to address acute child malnutrition. Conclusion: Overall, this review highlights the importance of addressing contextual and geographical challenges to support participant access and program operations. There is a need to critically examine program design and structure to promote intervention adherence and effectiveness. In addition, there is an opportunity to direct resources towards community health workers to facilitate long-term community trust and engagement.

Nutritional status is one of the most important causes of improper physical and mental development in children. The study attempts to assess the factors affecting the severity status of children aged 6-59 months\' malnutrition based on the weight-for-age anthropometric index (z-score) and examine between-kebeles-level differences in determinants of the nutritional status of children. A community-based, cross-sectional study design was conducted from October 12 to November 12, 2022. A sample of 397 children aged 6-59 months primary data by applying multi-stage clustered sampling technique was used by considering their heterogeneity. The data were entered by SPSS and analyzed by using R version 3.4.0 and STATA 14.2 statistical software package using a multilevel ordinal logistic regression model and inferences were conducted at a 5% significance level. The results show that birth interval ≥ 24 months (OR = 1.431253, 95% CI 1.221337 1.6763421, P-value = 0.008), economic status of households medium (OR = 16.21466, 95% CI 1.221403 1.423929, P-value = 0.000), economic status of households rich (OR = 223.2856, 95% CI 1.34295 2.582325, P-value = 0.000), employment status of the mother unemployed (OR = 0.2291348, 95% CI 0.0529511 0.9966281, P-value = 0.049), No toilet facility (bush field) (OR = 0.3163329, 95% CI 0.1825356 0.5481975, P-value = 0.000), number of household members (OR = 0.9100682, 95% CI 0.8313481 0.9967315, P-value = 0.042), breastfeeding < 12 months (OR = 0.53803, 95% CI 0.322315 0.898135, P-value = 0.018), educational level of father Primary (OR = 4.601687, 95% CI 1.758009 2.22053, P-value = 0.000), educational level of father Secondary above (OR = 99.65229, 95% CI 2.533502 4.788896, P-value = 0.000) and geographical area (kebeles) were found to be important factors that affect a child\'s nutritional status between 6 and 59 months. 15% of the overall variation is attributable to the Kebeles level, according to two-level multilevel ordinal logistic regressions with estimates of the variation attributable to the Kebeles level equal to 0.569 and an intraclass correlation coefficient of 0.15. Due to the nature of the response variable random intercept model with random coefficients fitted the data adequately in predicting the severity status of children aged 6-59 months\' malnutrition for the multilevel ordinal logistic regression model analysis. So, the researcher recommended that implementing primary health care and nutrition programs that would fit each kebeles\' features in Itang Special Woreda to safeguard children from nutritional deficiency.