Chronic malnutrition or stunting among children under 5 years old is affected by several household environmental factors, such as food insecurity, disease burden, and poverty. However, not all children experience stunting even in food insecure conditions. To seek a solution at the local level for preventing stunting, a cross-sectional study was conducted in southeastern Kenya, an area with a high level of food insecurity. The study was based on a cohort organized to monitor the anthropometric status of children. A structured questionnaire collected information on the following: demographic characteristics, household food security based on the Household Food Insecurity Access Scale (HFIAS), household socioeconomic status (SES), and child health status. The associations between stunting and potential predictors were examined by bivariate and multivariate stepwise logistic regression analyses. Furthermore, analyses stratified by level of food security were conducted to specify factors associated with child stunting in different food insecure groups. Among 404 children, the prevalence of stunting was 23.3%. The percentage of households with severe food insecurity was 62.5%. In multivariative analysis, there was no statistically significant association with child stunting. However, further analyses conducted separately according to level of food security showed the following significant associations: in the severely food insecure households, feeding tea/porridge with milk (adjusted Odds Ratio [aOR]: 3.22; 95% Confidence Interval [95% CI]: 1.43-7.25); age 2 to 3 years compared with 0 to 5 months old (aOR: 4.04; 95% CI: 1.01-16.14); in households without severe food insecurity, animal rearing (aOR: 3.24; 95% CI: 1.04-10.07); SES with lowest status as reference (aOR range: from 0.13 to 0.22). The number of siblings younger than school age was not significantly associated, but was marginally associated in the latter household group (aOR: 2.81; 95% CI: 0.92-8.58). Our results suggest that measures against childhood stunting should be optimized according to food security level observed in each community.

Child malnutrition and maternal obesity are serious public health issues in Sri Lanka. This study explores the associations between socioeconomic status and the double burden of malnutrition among school-aged children and within their household. A total of 543 primary school children aged 5–10 years (204 boys and 339 girls) in Gampaha District, Sri Lanka, were included in the analysis. The nutritional statuses of thinness, normal, overweight, and obesity for children and mothers were defined according to WHO growth references and body mass index. Maternal education, household equivalent income, and maternal employment were used as socioeconomic status indicators. The proportion of child thinness and overweight was 19.3% and 13.4%, respectively, and that of maternal overweight (body mass index ≥ 25 kg/m²) was 36.5%. A positive correlation was found between maternal body mass index and the child’s body mass index for age z-score in older boys and younger girls. A multivariate stepwise logistic regression analysis showed that lower education of mothers posed a higher association with child thinness (adjusted odds ratio = 2.33, 95% confidence interval: 1.08–5.00). Mothers with overweight and obesity were less likely to have a child with thinness (adjusted odds ratio = 0.30, 95% confidence interval: 0.16–0.58). Maternal employment status and household equivalent income were not significantly, but marginally, associated with child overweight and obesity. Socioeconomic inequality combined with maternal nutritional status affected child malnutrition. These findings suggest that the underlying circumstances within households should be considered to improve child malnutrition.

Prevailing prevention measures against morbidity, such as vaccination and safe hygiene practices, vary among local cultural contexts, and little is known about the extent to which these behaviors mitigate poor nutritional status in young children in Southeast Asia. We examined the associations between nutrition status with full immunization coverage, and water, sanitation and hygiene status among children aged 12–59 months in the 2015–2016 Thailand Multiple Indicator Cluster Survey (n = 9060). When adjusted for confounding factors, children with incomplete immunization status were more likely to be stunted (adjusted odds ratio (aOR) 1.47; 95% confidence interval (CI): 1.24–1.75, p < 0.001), wasted (aOR 1.67, 95% CI: 1.31–2.12, p < 0.001), and overweight (aOR 1.24, 95% CI: 1.01–1.51, p < 0.05), whereas children who used unimproved water sources were more likely to be overweight (aOR 2.43, 95% CI: 1.27–4.64, p < 0.01). The further implementation of simple and cost-effective health promotion activities and practices at the household level may be important interventions for healthy child growth and development, particularly under restricted living conditions due to COVID-19.

The double burden of malnutrition (under- and overnutrition) is a serious public health issue in childhood. The mid-upper arm circumference (MUAC) is a simple tool for screening nutritional status, but studies of the optimal cutoff to define malnutrition are limited. This study aimed to explore the prediction of malnutrition by MUAC in Sri Lankan schoolchildren. The participants were 538 students (202 boys, 336 girls) aged 5–10 years. Spearman’s rank correlation was calculated for MUAC and both body-mass-index-for-age z-score (BAZ) and height-for-age z-score (HAZ). Receiver operating characteristic (ROC) analysis was conducted to assess the ability of MUAC to correctly classify malnutrition, after stratifying for age and birth weight. MUAC correlated significantly with BAZ (r = 0.84) and HAZ (r = 0.35). The areas under the ROC curve for thinness, overweight, obesity, and stunting were 0.88, 0.97, 0.97, and 0.77, respectively. The optimal MUAC cutoff values for predicting thinness and stunting were 167.5 mm and 162.5 mm, respectively; the optimal cutoffs for predicting overweight and obesity were 190.5 mm and 218.0 mm, respectively. These cutoffs differed after stratification by age group and birth weight. Our results confirm MUAC to be a useful tool for monitoring growth in schoolchildren.

Injury is the leading cause of death among children and adolescents in Japan. Despite this, until now there has been comparatively little research on this phenomenon. The purpose of this study was to examine if there was seasonal variation in child and adolescent injury mortality in Japan in 2000–2010. Vital statistics injury mortality data were obtained from the Ministry of Health, Labour and Welfare of Japan. The seasonality of the major causes of unintentional injury (transport accidents, drowning and suffocation) and intentional injury (suicide and homicide) mortality was examined for children and adolescents aged 0–19. Incidence ratios (IR) with 95 % confidence intervals (CI) were calculated to determine the difference between the numbers of observed and expected seasonal deaths. The annual average injury mortality rate among children and adolescents was 9.0 per 100,000. Deaths from transport accidents, drowning, suffocation and suicide had a significant seasonality. There was a summer peak for transport accidents (IR 1.15, 95 % CI 1.10–1.19) and drowning (IR 2.00, 95 % CI 1.88–2.11), a spring peak for suicide (IR 1.09, 95 % CI 1.04–1.14), while the incidence of suffocation was higher in winter (IR 1.12, 95 % CI 1.03–1.21). Child and adolescent injury mortality from transport accidents, drowning, suffocation and suicide has a pronounced seasonality in Japan. More research is now needed to find the circumstances underpinning different forms of injury mortality in different periods of the year so that effective interventions can be designed and implemented to reduce the burden of injury mortality among Japanese children.