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Every year in Nigeria, malnutrition contributes to more than 33% of the deaths of children below 5 years, and these deaths mostly occur in the northern geopolitical zones (NGZs), where nearly 50% of all children below 5 years are stunted. This study examined the trends in the prevalence of stunting and its associated factors among children aged 0–23 months, 24–59 months and 0–59 months in the NGZs. The data of 33,682 recent live births in the NGZs, extracted from the Nigeria Demographic and Health Surveys from 2008 to 2018, were used to investigate the factors associated with stunting using multilevel logistic regression. Children aged 24–59 months reported the highest prevalence of stunting, with 53.3% (95% confidence interval: 52.0–54.6%). Multivariable analyses revealed four common factors that increased the odds of a child’s stunting across all age subgroups: poor households, geopolitical zone (northwest or northeast), being a male and maternal height (<145 cm). Interventional strategies focused on poverty mitigation through cash transfer and educating low socioeconomic mothers on the benefits of gender-neutral supplementary feeding and the timely monitoring of the offspring of short mothers would substantially reduce stunting across all age subgroups in the NGZs.

Background Stunting is a major public health issue in most of developing countries. Although, its worldwide prevalence is decreasing slowly but the number of stunted children is still rising in Pakistan. Stunting is highly associated with several long-term consequences, including higher rate of mortality and morbidity, deficient cognitive growth, school performance, learning capacity, work capacity and work productivity. To prevent stunting, we proposed Stunting Diagnostic and Education app. This app includes detailed knowledge of stunting and it’s all forms, symptoms, causes, video tutorials and guidelines by the Pediatricians and Nutritionists. Methods A cross-sectional study has been conducted in schools of Multan District, Pakistan for the period of January 2019 to June 2019. Sample data of 1420 children, aged 4 to 18 years using three age groups, were analyzed by using SPSS version 21.0 to assess the prevalence of stunting and to analyze the risk factors associated with it in children under and over 5 age. Chi square test was applied in comparison with rural and urban participants and p -value < 0.05 was considered as significant. This study includes distribution of sociodemographic characteristics, parental education, working status of mothers, dietary patterns of school going children and prevalence of stunting in school going children. After getting study results, Stunting Diagnostic and Education app was developed according to the instructions of child experts and nutritionists. Results 354 (24.93%) participants were stunted out of 1420, 11.9% children were obese and 63.17% children were normal. Out of 354 stunted children, higher ratio of stunting was found in the age group of 8–11 years children with 51.98 percentage. 37.85% stunted children were found in the age group of 4–7 years and 10.17% stunting was found in the age group of 12–18 years children. It was observed in the study that male children were highly stunted than female with 57.91 and 42.09% respectively. Children living in rural areas were more stunted affected as compared to the children living in urban society with percentage 58.76 and 41.24 respectively. Conclusions Our study concluded that 24.93% children were stunted, out of which, age group of 8–11 years children were highly stunted. The study showed that the literacy of mother or caregiver had high impact on children’s health. Therefore, Stunting Diagnostic and Education app was developed to educate mothers to diagnose stunting and to teach about the prevention of stunting.

In East Nusa Tenggara Province, Indonesia, 42.6% of children under five had stunted growth in 2018, which affects both individual and communal levels. The first step in creating effective interventions is identifying the risk factors for stunting. This study aims to pinpoint the stunting risk factors in East Nusa Tenggara Province, Indonesia, by incorporating secondary data from the 2018 Indonesia Basic Health Research (RISKESDAS). This study implemented a cross-sectional design by utilizing the data of individuals who were successfully visited during the survey. Initial data screening in East Nusa Tenggara Province based on the criteria for children aged 0–59 months and stunting showed as many as 1643. Multivariate logistic regression analysis was performed to evaluate the relationship between children’s characteristics and stunting. There was a significant relationship between age group variables for younger children (aged 12–23, 24–35, and 36–47 months), mothers with low education, and children living in rural areas with the incidence of stunting in children (p-value < 0.05). The dominant factors that caused stunting in this study were the children’s age of 24–35 months (OR = 2.08, 95% CI: 1.12–3.86), mothers with low education (OR = 1.57, 95% CI: 1.18–2.08), and children living in rural areas (OR = 1.39, 95% CI: 1.01–1.91). The highest prevalence of stunting was in the group of children aged 12–23 months (45.2%). To prevent child stunting, the government must intervene for mothers with low education and those living in rural areas. Intervention includes intensive socialization about improving nutritional status during pregnancy and practicing complementary feeding and breastfeeding habits until the child is 24 months old.

Children with concurrent wasting and stunting (WaSt) and children with severe wasting have a similar risk of death. Existing evidence shows that wasting and stunting share similar causal pathways, but evidence on correlates of WaSt remains limited. Research on correlates of WaSt is needed to inform prevention strategies. We investigated the factors associated with WaSt in children 6–59 months in Karamoja Region, Uganda. We examined data for 33,054 children aged 6–59 months using June 2015 to July 2018 Food Security and Nutrition Assessment in Karamoja. We defined WaSt as being concurrently wasted (weight‐for‐height z‐scores <−2.0) and stunted (height‐for‐age z‐score <−2.0). We conducted multivariate mixed‐effect logistic regression to assess factors associated with WaSt. Statistical significance was set at p < 0.05. In multivariate analysis, being male (adjusted odds ratio [aOR] = 1.79; 95% confidence interval [CI] [1.60–2.00]), aged 12–23 months (aOR = 2.25; 95% CI [1.85–2.74]), 36–47 months (aOR = 0.65; 95% CI [0.50–0.84]) and 48–59 months (aOR = 0.71; 95% CI [0.54–0.93]) were associated with WaSt. In addition, acute respiratory infection (aOR = 1.30; 95% CI [1.15–1.48]), diarrhoea (aOR = 1.25; 95% CI [1.06–1.48]) and malaria/fever (aOR = 0.83; 95% CI [0.73–0.96]) episodes were associated with WaSt. WaSt was significantly associated with maternal underweight (body mass index <18.5 kg/m2), short stature (height <160 cm), low mid‐upper arm circumference (MUAC <23 cm) and having ≥4 live‐births. WaSt was prevalent in households without livestock (aOR = 1.30; 95% CI [1.13–1.59]). Preventing the occurrence of WaSt through pragmatic and joint approaches are recommended. Future prospective studies on risk factors of WaSt to inform effective prevention strategies are recommended.

Malnutrition is the leading cause of poor child health in Ethiopia, and progress to avert it is unacceptably slow. In addition, little is known about the magnitude and factors associated with concurrent wasting and stunting (WaSt). Therefore, this study aimed to assess the prevalence and factors associated with WaSt, wasting, stunting and underweight among children 6–59 months in Kersa Health and Demographic Surveillance System, Ethiopia. Data from a total of 1091 children and their parents' were analysed from a cross‐sectional study. Household questionnaires and anthropometric measurements were used for data collection. Height‐for‐age, weight‐for‐height and weight‐for‐age indices are expressed as standard deviation units from the mean for the reference group. Multivariate analyses were conducted to identify factors associated with WaSt, wasting, stunting and underweight. Statistical significance was declared at p < 0.05. The prevalence of indicators of malnutrition was WaSt (5.8%), wasting (16.8%), stunting (53.9%) and underweight (36.9%). Children aged 6–17 months had a higher odds of wasting (adjusted odds ratio [aOR] 1.8, 95% confidence interval [CI] 1.12–2.75) compared with those aged 36–59 months, whereas children aged 18–35 months (aOR 2.4, 95% CI 1.65–3.47) and 36–59 months (aOR 1.6, 95% CI 1.07–2.37) had higher odds of stunting compared with those aged 6–17 months. Similarly, children aged 18–35 months (aOR 1.6, 95% CI 1.07–2.37) and 36–59 months (aOR 2.2, 95% CI 1.52–3.10) had higher odds of underweight compared with children aged 6–17 months. Households that did not treat drinking water at point of use were at higher odds of WaSt (aOR 3.3, 95% CI 1.16–9.27) and stunting (aOR 1.9, 95% CI 1.31–2.85) compared with those who did treat drinking water. Boys were more likely to be WaSt, wasted, stunted and underweight. Cough was associated with WaSt, wasting and underweight. Furthermore, maternal education, maternal occupation and maternal age were significantly associated with wasting. Maternal body mass index (BMI) of less than 18.5 kg/m2 and maternal BMI between 18.5 and 25 kg/m2 were associated with child stunting. In Kersa, the prevalence of WaSt, wasting, stunting and underweight is very high and requires urgent public health intervention. This study highlights point‐of‐use water treatment, maternal education, hygiene and sanitation, child health service utilization and maternal BMI as important areas to improve to target child malnutrition. Furthermore, a community‐based programmatic and policy direction for early identification and management of WaSt in addition to other indicators of malnutrition is recommended.

Stunting in toddlers (0-2 years) remains a significant public health problem in Indonesia. Adequate breastfeeding is essential for stunting prevention, yet many mothers struggle with insufficient milk production. Moringa oleifera, known locally as moringa, has traditionally been used to increase breast milk production. Moringa plants have the potential to overcome various kinds of malnutrition or malnutrition problems in toddlers, pregnant women and breastfeeding mothers. This study aims is to examines the effect of consuming Moringa leaf-based vegetable soup on milk production in breastfeeding mothers with stunted toddlers at Leggung Health Centre. A quasi-experimental design was employed with 40 breastfeeding mothers of stunted toddlers (0-2 years) - 20 in the treatment group (given Moringa soup) and 20 in the control group (no treatment). Pretest results showed that only 57% of mother in the treatment group had adequate milk production, which increased to 76% after consuming Moringa leaf vegetable soup. The Mann-Witney U test revealed a significant difference (p = 0.000). These findings suggest that Moringa leaf soup can enhance breast milk production in breastfeeding mothers and may indirectly support stunting prevention efforts.

Background Stunting has been identified as one of the major proximal risk factors for poor physical and mental development of children under-5 years. Stunting predominantly occurs in the first 1000 days of life (0–23 months) and continues to the age of five. This study examines factors associated with stunting and severe stunting among children under-5 years in Nigeria. Methods The sample included 24,529 children aged 0–59 months from the 2013 Nigeria Demographic and Health Survey (NDHS). Height-for-age z-scores (HFAz), generated using the 2006 World Health Organisation (WHO) growth reference, were used to define stunting (HFAz < −2SD) and severe stunting (HFAz < −3SD). Multilevel logistic regression analyses that adjusted for cluster and survey weights were used to determine potential risk factors associated with stunting and severe stunting among children under-5 years in Nigeria. Results The prevalence of stunting and severe stunting were 29% [95% Confidence interval (Cl): 27.4, 30.8] and 16.4% [95%Cl: 15.1, 17.8], respectively for children aged 0–23 months, and 36.7% [95%Cl: 35.1, 38.3] and 21% [95%Cl: 19.7, 22.4], respectively for children aged 0–59 months. Multivariate analysis revealed that the most consistent significant risk factors for stunting and severe stunting among children aged 0–23 months and 0–59 months are: sex of child (male), mother’s perceived birth size (small and average), household wealth index (poor and poorest households), duration of breastfeeding (more than 12 months), geopolitical zone (North East, North West, North Central) and children who were reported to having had diarrhoea in the 2 weeks prior to the survey [Adjusted odds ratio (AOR) for stunted children 0–23 months = 1.22 (95%Cl: 0.99, 1.49)];[AOR for stunted children 0–59 months = 1.31 (95%Cl: 1.16, 1.49)], [AOR for severely stunted children 0–23 months = 1.31 (95%Cl: 1.03, 1.67)]; [AOR for severely stunted children 0–59 months = 1.58 (95%Cl: 1.38, 1.82)]. Conclusions In order to meet the post-2015 sustainable development goals, policy interventions to reduce stunting in Nigeria should focus on poverty alleviation as well as improving women’s nutrition, child feeding practices and household sanitation.

Purpose: The Elsimil application is an intervention effort to prevent stunting by conducting health screening which is followed up with assistance for marriage and pregnancy readiness to prospective brides. The Elsimil application review rating on the Play Store / App Store on February 01, 2023, which is 3.2, is still low and there are many user complaints related to difficulties in registering, operating the application and frequent system problems. The purpose of this study was to analyze the acceptance of the Elsimil application using the Technology Acceptance Model approach.   Metod: This study uses analytical quantitative research with a cross sectional approach. Primary data obtained from a closed questionnaire, which explores the perceived ease, perceived usefulness, user attitude, and interest in using the Elsimil application. The number of samples was 33 Catin, then the data obtained was analyzed using the Partial Least Square (PLS) method using smartPLS software.   Results and Discussion: Based on the results of the analysis, it shows that there is a significant effect of perceived convenience on perceived usefulness (p- value 0.045), effect of perceived convenience on user attitudes (p-value 0.000), effect of perceived usefulness on user attitudes (p-value 0.029), influence between user attitudes on interest (p-value 0.000). and influence between perceived usefulness on interest in using (p-value 0.132) in using the Elsimil application. In conclusion, of the five hypotheses proposed, four of them have a significant effect and one has no significant effect on the use of the Elsimil application.

Background: Stunting is the impaired growth and development of children due to poor nutrition, repeated infection, and inadequate psychological stimulation. This research aims to examine the impact of maternal nutritional literacy (MNL) in increasing the height or score of a stunted child. Design and Methods: This study is a randomized control trial, which uses a sample size of 85 participants, 43 interventions and 42 controls, an 80% stress test and a 95% confidence level. The intervention group of the MNL consists of families with children under the age of five, focused on the mother’s ability to perform breastfeeding, hygiene activities, care, and intervention for 3 months. Result: The status of stunting was determined by the different distribution of stunting before and after the intervention in both the intervention and control groups. There was a decrease of about 9.3% of MNL in the intervention group, while in the control group it decreased by just 2.4% (p<0.05). Conclusions: It can be concluded that MNL has an effect in preventing stunting, and it is recommended that preventive measures should focus more on normal children, while stunted children should be provided with breastfeeding as the core of MNL. Significance for public health Preventing stunting requires an effort based on the family potential, and the nutritional literacy of the maternal is the most appropriate measure in achieving the preventive goals. This article shows that the maternal nutrition literacy interventions are very good in such a way that they become a reference for improving the nutrition and public health.

While socioeconomic gradients in regional health inequalities are firmly established, the synergistic interactions between socioeconomic deprivation and climate vulnerability within convenient proximity and neighbourhood locations with health disparities remain poorly explored and thus require deep understanding within a regional context. Furthermore, disregarding the importance of spatial spillover effects and nonlinear effects of covariates on childhood stunting are inevitable in dealing with an enduring issue of regional health inequalities. The present study aims to investigate the spatial inequalities in childhood stunting at the district level in Pakistan and validate the importance of spatial lag in predicting childhood stunting. Furthermore, it examines the presence of any nonlinear relationships among the selected independent features with childhood stunting. The study utilized data related to socioeconomic features from MICS 2017–2018 and climatic data from Integrated Contextual Analysis. A multi-model approach was employed to address the research questions, which included Ordinary Least Squares Regression (OLS), various Spatial Models, Machine Learning Algorithms and Explainable Artificial Intelligence methods. Firstly, OLS was used to analyse and test the linear relationships among selected variables. Secondly, Spatial Durbin Error Model (SDEM) was used to detect and capture the impact of spatial spillover on childhood stunting. Third, XGBoost and Random Forest machine learning algorithms were employed to examine and validate the importance of the spatial lag component. Finally, EXAI methods such as SHapley were utilized to identify potential nonlinear relationships. The study found a clear pattern of spatial clustering and geographical disparities in childhood stunting, with multidimensional poverty, high climate vulnerability and early marriage worsening childhood stunting. In contrast, low climate vulnerability, high exposure to mass media and high women’s literacy were found to reduce childhood stunting. The use of machine learning algorithms, specifically XGBoost and Random Forest, highlighted the significant role played by the average value in the neighbourhood in predicting childhood stunting in nearby districts, confirming that the spatial spillover effect is not bounded by geographical boundaries. Furthermore, EXAI methods such as partial dependency plot reveal the existence of a nonlinear relationship between multidimensional poverty and childhood stunting. The study’s findings provide valuable insights into the spatial distribution of childhood stunting in Pakistan, emphasizing the importance of considering spatial effects in predicting childhood stunting. Individual and household-level factors such as exposure to mass media and women’s literacy have shown positive implications for childhood stunting. It further provides a justification for the usage of EXAI methods to draw better insights and propose customised intervention policies accordingly.