Child undernutrition among under 5 aged children is a prevalent global issue, especially in Bangladesh. This study aimed to explore relationships of household environmental conditions (HECs) with child under-nutrition in Bangladesh, with a specific focus on rural-urban differences.

We analysed children’s data from the 2017/18 Bangladesh Demographic Health Survey (BDHS). The outcome variable considered were measures of child under-nutrition, including stunting, wasting, and underweight. The major exposure variable considered was indicators of HECs. We used a hierarchical Poisson regression model to explore the association between outcomes and exposures adjusted for potential confounders.

Nationally representative cross-sectional survey.

8,057 under-5 aged children.

The prevalence of stunting, wasting and underweight in Bangladesh was 31%, 8% and 22%, respectively, with significant urban-rural variations. Under-5 children who lived in houses constructed with unimproved materials (aRR: 1.17), exposed to household air pollution (HAP) (aPR: 1.37), had unimproved drinking water sources (aPR: 1.28), or had poor handwashing facilities (aPR: 1.24) had a greater likelihood of stunting compared to their counterparts. Similar associations were observed for underweight. The likelihood of stunting and underweight increased with increasing scores of poor HECs, varying significantly across urban-rural areas.

The high prevalence of stunting and underweight in Bangladesh is linked to poor HECs. Therefore, policies and programs aimed at reducing child undernutrition need to account for household environmental conditions, with a particular focus on children in poor household environments.

Child undernutrition is a global public health problem with serious implications. In this study, we estimate predictive algorithms for the determinants of childhood stunting by using various machine learning (ML) algorithms.

This study draws on data from the Ethiopian Demographic and Health Survey of 2016. Five ML algorithms including eXtreme gradient boosting, k-nearest neighbours (k-NN), random forest, neural network and the generalised linear models were considered to predict the socio-demographic risk factors for undernutrition in Ethiopia.

Households in Ethiopia.

A total of 9471 children below 5 years of age participated in this study.

The descriptive results show substantial regional variations in child stunting, wasting and underweight in Ethiopia. Also, among the five ML algorithms, xgbTree algorithm shows a better prediction ability than the generalised linear mixed algorithm. The best predicting algorithm (xgbTree) shows diverse important predictors of undernutrition across the three outcomes which include time to water source, anaemia history, child age greater than 30 months, small birth size and maternal underweight, among others.

The xgbTree algorithm was a reasonably superior ML algorithm for predicting childhood undernutrition in Ethiopia compared to other ML algorithms considered in this study. The findings support improvement in access to water supply, food security and fertility regulation, among others, in the quest to considerably improve childhood nutrition in Ethiopia.

This study provides information on food insecurity and child malnutrition in a technologically advanced nation.

Population-based study using multistage probability cluster sampling design to collect survey data. Multivariable regression models were used to determine associations between food security status and various malnutrition indices.

We used a national sample from the US National Health and Nutrition Examination Survey 2011–2014.

The anthropometric and demographic data sets of 4121 children <7 years old were analysed for this study.

Food-insecure infants younger than 6 months had shorter upper arm length (–0·4 cm, P = 0·012) and smaller mid-upper arm circumference (–0·5 cm, P = 0·004); likewise those aged 6 months–1 year had shorter upper arm length (–0·4 cm, P = 0·008), body length (–1·7 cm, P = 0·007) and lower body weight (–0·5 kg, P = 0·008). Food-insecure children younger than 2 years were more likely to be underweight (OR: 4·34; 95 % CI 1·99, 9·46) compared with their food-secure counterparts. Contrariwise, food-insecure children older than 5 years were more likely to be obese (OR: 3·12; 95 % CI 1·23, 7·96).

Food insecurity associates with child growth deficits in the USA. Food-insecure infants and young children are generally smaller and shorter, whereas older children are heavier than their food-secure counterparts, implying a double burden of undernutrition–overnutrition associated with child food insecurity. Child food and nutrition programmes to improve food insecurity should focus on infants and children in the transition ages.

The current study assessed changes in children and mothers’ nutritional status before and after raising Bangladeshi households out of extreme poverty through an income-generating activities (IGA) programme.

Extreme poor households took part in the IGA programme for 2 years and recruitment took place over four waves in annual cycles. Children and mothers were measured with regarding their nutritional status before and after the IGA programme commenced.

Rural Bangladesh.

Three-hundred and eighty-two children under 5 years of age at recruitment, and their mothers.

After 2 years of the IGA programme, the prevalence of stunting significantly declined from 40·3 % to 33·0 % (P = 0·003), anaemia declined from 51·6 % to 44·0 % (P = 0·020) while mothers’ CED (Chronic Energy Deficiency) declined from 52·0 % to 42·7 % (P < 0·001), but no significant changes were found in children’s wasting, declining from 25·4 % to 21·5 %, underweight which remained the same at 43·2 %, while mothers’ anaemia rose from 39·3 % to 42·7 %. There were also highly significant improvements in household socio-economic status. Increases in socio-economic security (especially in relation to cash savings and net income) and improvements in food quantity and quality (indicated by greater food diversity and animal food intake) were associated with normal nutritional status, and cessation of open defecation was associated with reduction in mothers’ and child anaemia.

The IGA programme was associated with increased household socio-economic security, such as asset accumulation, food security and sanitation, and with improvements in the nutritional status of children and their mothers in extreme poor households.

Child undernutrition is a serious public health problem in many low- and middle-income countries. Data on child undernutrition prevalence and its risk factors in Armenia are limited. The present study aimed to estimate the prevalence and explore the predictors of undernutrition among children aged 5–17 months in Yerevan.

The study was cross-sectional and employed a review of the ambulatory charts of children selected through a multistage cluster sampling. This phase was followed by a case–control study. The cases were undernourished children identified during the record review and randomly matched with normally growing controls of the same age and gender from the same pool of records. Mothers of cases and controls participated in a telephone interview. The study used conditional logistic regression analysis.

Yerevan, Armenia.

Children aged 5–17 months residing in Yerevan, Armenia.

Review of 570 ambulatory charts suggested the prevalence of stunting, underweight and wasting among 5–17-month-old children in Yerevan to be 17·9 %, 7·3 % and 3·1 %, respectively. The case–control study of eighty-nine matched pairs identified four significant predictors of child undernutrition: family's socio-economic status score (P = 0·030), child's length at birth (P = 0·027), duration of predominant breast-feeding (P = 0·046) and food diversity score (P = 0·039).

The factors determining growth patterns of children in Yerevan are mostly behavioral and environmental, hence modifiable. Reducing poverty and inequalities in food availability, promoting breast-feeding and adequate complementary feeding, and ensuring optimal care before, during and after pregnancy are likely to help reduce child undernutrition in Yerevan, Armenia and societies with similar public health concerns.

We assessed associations of maternal common mental disorders (CMD) with undernutrition and two common illnesses in children aged 0–5 years.

Cross-sectional survey. Maternal CMD was measured using the WHO Self-Reporting Questionnaire-20. Child undernutrition was defined as stunting, underweight or wasting. Child illnesses included diarrhoea and acute respiratory infections (ARI). Multivariate logistic regression was used to test these associations adjusting for confounders at child, maternal and household levels.

Bangladesh, Vietnam and Ethiopia.

Mothers with children aged 0–5 years from 4400 households in Bangladesh, 4029 households in Vietnam and 3000 households in Ethiopia.

The prevalence of maternal CMD was high, ranging from 31 % in Vietnam to 49 % in Bangladesh. Child undernutrition was more prevalent in Bangladesh and Ethiopia than in Vietnam. Symptoms of ARI and diarrhoea were also prevalent. In multivariate analysis, maternal CMD was associated with child stunting in Bangladesh (OR = 1·21; 95 % CI 1·03, 1·41) and with child underweight in Vietnam (OR = 1·27; 95 % CI 1·01, 1·61); no association was found with wasting. Maternal CMD was strongly associated with diarrhoea and ARI in all three countries.

Maternal CMD, which affected nearly half of women in Bangladesh and one-third in Vietnam, was an important determinant of child stunting and underweight, respectively. No such association was found in Ethiopia, although CMD affected 39 % of women. Maternal CMD was strongly associated with childhood illnesses in all three countries. Interventions to support maternal mental health are important for women's own well-being and could make important contributions to improving child health and nutrition.

The purpose of this paper is to examine the relationship between childhood undernutrition and poverty in urban and rural areas.

Anthropometric and socio-economic data from Multiple Indicator Cluster Surveys in Angola-Secured Territory (Angola ST), Central African Republic and Senegal were used in this analysis. The population considered in this study is children 0–59 months, whose records include complete anthropometric data on height, weight, age, gender, socio-economic level and urban or rural area of residence. In addition to simple urban/rural comparisons, the population was stratified using a wealth index based on living conditions and asset ownership to compare the prevalence, mean Z-score and odds ratios for stunting and wasting.

In all cases, when using a simple urban/rural comparison, the prevalence of stunting was significantly higher in rural areas. However, when the urban and rural populations were stratified using a measure of wealth, the differences in prevalence of stunting and underweight in urban and rural areas of Angola ST, Central African Republic and Senegal disappeared. Poor children in these urban areas were just as likely to be stunted or underweight as poor children living in rural areas. The odds ratio of stunting in the poorest compared with the richest quintile was 3.4, 3.2 and 1.5 in Angola ST, Senegal and Central African Republic, respectively.

This paper demonstrates that simple urban/rural comparisons mask wide disparities in subgroups according to wealth. There is a strong relationship between poverty and chronic undernutrition in both urban and rural areas; this relationship does not change simply by living in an urban environment. However, urban and rural living conditions and lifestyles differ, and it is important to consider these differences when designing programmes and policies to address undernutrition.