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This report provides a systematic review of the evidence to date, both published and grey literature, on the relationship between water and sanitation and nutrition. We also survey the potential impact of improved water, sanitation, and hygiene (WASH) on undernutrition. This is the first report that undertakes a thorough review and discussion of WASH and nutrition in Bangladesh. The report is meant to serve two purposes. First, it synthesizes the results/evidence evolving on the pathway of WASH and undernutrition for use by practitioners working in the nutrition and water and sanitation sectors to stimulate technical discussions and effective collaboration among stakeholders. Second, this report serves as an advocacy tool, primarily for policy makers, to assist them in formulating a multisectoral approach to tackling the undernutrition problem.

•Child malnutrition is a major public health problem.•Globally in 2020, 149 million children <5 y of age were estimated to be stunted (too short for age) and 45 million were wasted (too thin for height).•The most consistent factors associated with child malnutrition are maternal education, household income, and maternal nutritional status. Child undernutrition is a major public health problem. Globally in 2020, 149 million children <5 y of age were estimated to be stunted (too short for age), 45 million to be wasted (too thin for height), and 38.9 million were overweight. The aim of this review was to examine previous studies to determine the factors associated with malnutrition and contribute to the existing body of evidence needed for the formulation of effective interventions. This systematic review was conducted using the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The Google Scholar database was used to search the studies conducted between 2012 and 2021. The included studies were searched by using some combinations of keywords and saved in Mendeley Desktop for review and referencing. Of 2150 articles retrieved from the Google Scholar databases, 37 met our inclusion criteria. Of the 37 studies reviewed; 13 were conducted in India, 5 in Ethiopia, 3 in Bangladesh, 2 in Ghana, 2 in Nepal, 2 in developing countries, and 1 each in Bolira, Benin, Netherland, Columbia, Pakistan, Malaysia, Africa, Egypt, Ecuadorian, and Indonesia. The most consistent factors associated with child malnutrition were maternal education, household income, maternal nutritional status, age of the child, availability of sanitation facility at home, size of family, birth order in the family, and child's birth weight. Breastfeeding and caring practices, cooking area and the fuel used, sex, and socioeconomic status of the children also contribute toward child malnutrition.

Undernutrition among children under the age of five years is a prevalent global issue, especially in Bangladesh. This study aimed to explore the relationships of household environmental conditions (HECs) with child undernutrition in Bangladesh, with a specific focus on rural-urban variations. We analysed children's data from the 2017/18 Bangladesh Demographic Health Survey. The outcome variable considered were measures of child undernutrition, including stunting, wasting and underweight. The primary exposure variables considered were indicators of HEC. We used a hierarchical multilevel mixed-effect generalized linear models (GLM) modified with a Poisson regression to explore the association between outcomes and exposures, adjusting for potential confounders. Nationally representative cross-sectional survey. 8,057 under-5 children. The prevalence of stunting, wasting and underweight in Bangladesh was 31%, 8%, and 22%, respectively, with notable urban-rural variations. Under-5 children who lived in houses constructed with unimproved materials (aRR: 1·17), exposed to household air pollution (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, with variations in the effect size across urban-rural areas. The high prevalence of stunting and underweight in Bangladesh is linked to poor HECs, therefore, integrated approaches should be adopted to address these environmental factors collectively. Policies and programmes should prioritse enhancing housing quality to achieve sustainable improvements in child nutritional outcomes.

Malnutrition in children under five years remains a significant problem in Bangladesh, despite substantial socio-economic progress and a decade of interventions aimed at improving it. Although several studies have been conducted to identify the important risk factors of malnutrition, none of them assess the role of low birth weight (LBW) despite its high prevalence (36%). This study examines the association between LBW and malnutrition using data from the Bangladesh Demographic and Health Survey (BDHS) 2011 and provides practical guidelines for improving nutritional status of children. Malnutrition in children is measured in terms of their height-for-age, weight-for-height, and weight-for-age. Children whose Z-scores for either of these indices are below two standard deviations (-2SD) from median of WHO's reference population are considered as stunted, wasted or underweight, respectively. The association between malnutrition and LBW was investigated by calculating adjusted risk-ratio (RR), which controls for potential confounders such as child's age and sex, mother's education and height, length of preceding-birth-interval, access to food, area of residence, household socio-economic status. Adjusted RR was calculated using both Cochran-Mantel-Haenszel approach and multivariable logistic regression models controlling for confounder. The prevalence of malnutrition was markedly higher in children with LBW than those with normal birth-weights (stunting: 51% vs 39%; wasting: 25% vs 14% and underweight: 52% vs 33%). While controlling for the known risk factors, children with LBW had significantly increased risk of becoming malnourished compared to their counter part with RR 1.23 (95% CI:1.16-1.30), 1.71 (95% CI:1.53-1.92) and 1.47 (95% CI: 1.38-1.56) for stunting, wasting and underweight, respectively. The observed associations were not modified by factors known to reduce the prevalence of malnutrition, such as higher education of mother, better household socio-economic conditions and longer birth-interval. Higher education of mother, better household socio-economic conditions and prolonged birth intervals alone are not sufficient in bringing about substantial reductions in prevalence of child malnutrition in Bangladesh. Targeted interventions should be designed to reduce prevalence of LBW in addition to improving mother's education and other socio-demographic conditions.

Malnutrition contributes to children's morbidity and mortality, and the situation undermines the economic growth and development of Bangladesh. Malnutrition is associated with lower levels of education that decrease economic productivity and leads to poverty. The global burden of malnutrition continues to be unacceptably high amid social and economic growth, including in Bangladesh. Therefore, identifying the factors associated with childhood malnutrition and poverty is necessary to stop the vicious cycle of malnutrition leaded poverty. The study utilized the 2017-18 Bangladesh Demographic and Health Survey (BDHS), accumulating 7,738 mother-child pairs. Associations between potential risk factors and nutritional status were determined using chi-square tests, and multivariate logistic regression models were utilized on significant risk factors to measure their odds ratio (OR) with their 95% confidence intervals (CI). The prevalence of moderate and severe wasting was 7.0% and 1.8%, respectively, whereas the prevalence of moderate and severe stunting was 19.2% and 8.0%, while 16.4% and 3.6% of children were moderately and severely underweight. Children from the poorest and poor households were suffering from at least one form of malnutrition. Adjusted ORs were estimated by controlling socio-economic and demographic risk factors, such as poor maternal body mass index, parents' lower education level, use of unhygienic toilet, child age in months, and recent experience of diarrhea and fever. The pattern was almost similar for each malnutrition status (i.e., stunting, underweight, and wasting) in the poorest and poor households. Bangladesh achieved the Millennium Development Goals, focusing primarily on health-related indicators and working to achieve the Sustainable Development Goals. Even considering this success, the prevalence of malnutrition and poverty in same household remains relatively high compared to other developing countries. Therefore, the study recommends the implementation of nationwide systematic measures to prevent poverty and malnutrition.

Childhood malnutrition is accompanied by growth stunting and immaturity of the gut microbiota. Even after therapeutic intervention with standard commercial complementary foods, children may fail to thrive. Gehrig et al. and Raman et al. monitored metabolic parameters in healthy Bangladeshi children and those recovering from severe acute malnutrition. The authors investigated the interactions between therapeutic diet, microbiota development, and growth recovery. Diets were then designed using pig and mouse models to nudge the microbiota into a mature post-weaning state that might be expected to support the growth of a child. These were first tested in mice inoculated with age-characteristic gut microbiota. The designed diets entrained maturation of the children's microbiota and put their metabolic and growth profiles on a healthier trajectory. Science , this issue p. eaau4732 , p. eaau4735 Health-linked microbiota can be used to monitor the effects of potentially therapeutic dietary components on recovery from malnutrition. To examine the contributions of impaired gut microbial community development to childhood undernutrition, we combined metabolomic and proteomic analyses of plasma samples with metagenomic analyses of fecal samples to characterize the biological state of Bangladeshi children with severe acute malnutrition (SAM) as they transitioned, after standard treatment, to moderate acute malnutrition (MAM) with persistent microbiota immaturity. Host and microbial effects of microbiota-directed complementary food (MDCF) prototypes targeting weaning-phase bacterial taxa underrepresented in SAM and MAM microbiota were characterized in gnotobiotic mice and gnotobiotic piglets colonized with age- and growth-discriminatory bacteria. A randomized, double-blind controlled feeding study identified a lead MDCF that changes the abundances of targeted bacteria and increases plasma biomarkers and mediators of growth, bone formation, neurodevelopment, and immune function in children with MAM.

To obtain projections of the prevalence of childhood malnutrition indicators up to 2030 and to analyse the changes of wealth-based inequality in malnutrition indicators and the degree of contribution of socio-economic determinants to the inequities in malnutrition indicators in Bangladesh. Additionally, to identify the risk factors of childhood malnutrition. Cross-sectional study. A Bayesian linear regression model was used to estimate trends and projections of malnutrition. For equity analysis, slope index, relative index and decomposition in concentration index were used. Multilevel logistic models were used to identify risk factors of malnutrition. Household surveys in Bangladesh from 1996 to 2014. Children under the age of 5 years. A decreasing trend was observed for all malnutrition indices. In 1990, predicted prevalence of stunting, wasting and underweight was 55·0, 15·9 and 61·8 %, respectively. By 2030, prevalence is projected to reduce to 28·8 % for stunting, 12·3 % for wasting and 17·4 % for underweight. Prevalence of stunting, wasting and underweight were 34·3, 6·9 and 32·8 percentage points lower in the richest households than the poorest households. Contribution of the wealth index to child malnutrition increased over time and the largest contribution of pro-poor inequity was explained by wealth index. Being an underweight mother, parents with a lower level of education and poorer households were the key risk factors for stunting and underweight. Our findings show an evidence-based need for targeted interventions to improve education and household income-generating activities among poor households to reduce inequalities and reduce the burden of child malnutrition in Bangladesh.

The objective of this study was to explore the relationship between various forms of child nutritional disorders and early childhood development in Bangladesh. We analysed data from the nationally representative cross-sectional 2019 Multiple Indicator Cluster Survey. Early childhood development was evaluated using the Early Childhood Development Index (ECDI), which comprised 10 yes-or-no questions across four domains: literacy-numeracy, physical well-being, socio-emotional development, and learning abilities. Nutritional disorders (e.g. stunting, wasting, and underweight) were measured based on the World Health Organization's height and weight guidelines. To investigate the relationships between child development and nutritional disorders, we used multilevel logistic regression models. Bangladesh. Data of 9,455 children aged 3 and 4 years. Approximately 38 % of the children analysed experienced a nutritional disorder, with stunting being the most prevalent at 28·15 %. Overall, 25·27 % did not meet expected developmental progress measured by the ECDI. Stunted children were more likely to be off track developmentally, while those without any nutritional disorder were more likely to be on track. Socio-demographic factors, including age, sex, attendance in early childhood education programme, maternal education, maternal functional difficulties, region, and income, were identified as determinants of ECDI. Childhood nutrition and socio-demographic factors significantly affect multiple developmental domains and overall ECDI among children aged 3-4 years. Prioritising policies and programmes that improve nutrition and address these determinants are crucial for fostering optimal development in children.

•It examines undernourishment in India, Bangladesh, Pakistan, Nepal, Cambodia, and Timor-Leste.•Stunting, wasting, and underweight among children aged 0 to 59 months in rural areas is high.•Considerable variation between countries and between primary sampling units is observed.•Maternal illiteracy, unsafe drinking water, and dirty fuel are positively associated with undernourishment.•Children from impoverished households in India, Pakistan, and Cambodia were disproportionately malnourished.•Temperature and rainfall also emerged as influential determinants of undernourishment in India, Bangladesh, and Timor-Leste. Child malnutrition, comprising of undernutrition and obesity, is a global concern with severe implications for survival, leading to acute and chronic diseases that adversely affect the productivity of individuals and society. Asia shoulders the greatest burden, with 7 out of 10 undernourished children residing in the region. Despite the decline in global child stunting, particularly in Asia, its prevalence remains significant. In 2017, an estimated 151 million children under five experienced stunting, and an additional 38 million were overweight, with Africa and Asia accounting for 25% and 46% of the global figures, respectively. Therefore, this paper aims to analyze the geospatial and environmental determinants of undernutrition in rural South and Southeast Asia. To explore the geospatial and environmental determinants of undernutrition (stunting, wasting, and underweight), we use Poisson regression and the data from recent rounds of the Demographic and Health Survey (DHS) from India, Bangladesh, Pakistan, Nepal, Cambodia, and Timor-Leste. This study found a high prevalence of stunting, wasting, and underweight among children aged 0 to 59 months in rural areas of South and Southeast Asia, with considerable variation between countries and clusters/primary sampling units. Results show a positive association between child malnutrition and factors such as maternal illiteracy, unsafe drinking water, and dirty cooking fuel in South and Southeast Asia. Children from impoverished households in India, Pakistan, and Cambodia were disproportionately affected. In addition to socio-economic factors, climatic risks such as temperature increase and rainfall variations also emerged as important determinants of child malnutrition in India, Bangladesh, and Timor-Leste. This paper emphasizes the role of environmental and climatic factors on child nutrition, underscoring their significance regardless of socio-economic conditions. As the impacts of climate change continue to intensify, and agrarian societies bear the brunt, these factors will play a critical role in shaping child nutritional outcomes. Thus, amid growing climate change, nutritional security should be prioritized, considering the spatial domain and targeting climate distress areas along with other socio-economic and demographic aspects.