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Poor diet quality (diet diversity and animal‐source food [ASF] consumption) during childhood negatively affects growth, development, behaviour and physiologic function in later life. Relatively less is known about the impact of poor diet on the growth of school‐age children compared to children <5 years of age, especially in low/middle‐income countries. A better understanding of delivery strategies for effective interventions to improve diet and hence growth in school‐age children is needed. A 36‐month longitudinal controlled impact evaluation in rural Nepal assessed the nutrition and growth of children <5 years of age in families assigned via community clusters to full package intervention (community development, training in nutrition [during pregnancy and for children <5 years] and livestock husbandry), partial package (training only) or control (no inputs). Concurrent data were collected prospectively (baseline plus additional four rounds) on school‐age children (5–8 years at baseline) in these households; the present study analysed findings in the cohort of school‐age children seen at all five study visits (n = 341). Diet quality improved more in the full package school‐age children compared to those in partial package or control households. full package children consumed more ASF (β +0.40 [CI 0.07,0.73], p < 0.05), more diverse diets (β +0.93 [CI 0.55,1.31], p < 0.001) and had better head circumference z‐scores (β +0.21 [CI 0.07,0.35], p < 0.01) than control children. In conclusion, a multi‐sectoral community development intervention was associated with improvements in diet and growth of school‐age children in rural Nepal even though the intervention focused on the diet of children <5 years of age. The diet and growth of school‐age children can be favourably influenced by community‐level interventions, even indirectly. Key messages: Relatively less is known about the factors that influence diet quality and growth in school‐age children compared to younger children, especially in low‐ and middle‐income countries.Better diet quality and growth were found among school‐age children whose families participated in an impact study multi‐sectoral intervention compared to children in control families or those whose families only received nutrition training.Diet and growth of school‐age children can be favourably influenced by community‐level interventions. [ABSTRACT FROM AUTHOR]

Progress to improve nutrition among women, infants and children in South Asia has fallen behind the pace needed to meet established global targets. Renewed political commitment and monitoring of nutrition interventions are required to improve coverage and quality of care. Our study aimed to assess the availability of national nutrition policies, programmes, and coverage data of nutrition interventions for women, children, and adolescents in eight countries in South Asia. We reviewed relevant policy and programme documents, examined questionnaires used in the most recent rounds of 20 nationally representative surveys, and generated an evidence gap map on the availability of policies, programmes, and survey data to track progress on coverage of globally recommended nutrition interventions. Current policies and programmes in South Asian countries addressed almost all the recommended nutrition interventions targeted at women, children, and adolescents. There was a strong policy focus in all countries, except Maldives, on health system platforms such as antenatal and postnatal care and child growth and development. Survey data on nutrition intervention coverage was most available in India and Nepal, while Bangladesh and Bhutan had the least. Though countries in South Asia have committed to national nutrition policies and strategies, national surveys had substantial data gaps, precluding progress tracking of nutrition intervention coverage. Greater attention and effort are needed for multisectoral collaboration to promote and strengthen nutrition data systems. Key messages: Most South Asian countries had several policies and programmes in place which considered or addressed nutrition interventions across the life course.Nationally representative surveys provide coverage data for evidence‐based recommendations to improve policy and programme actions.Significant coverage data gaps remain in nationally representative surveys around counselling during pregnancy, interventions targeted for newborns, infant, and young child feeding, and counselling on and identification and treatment of severe and moderate acute malnutrition.Mobilising political commitment and increasing multisectoral collaboration are required for an enabling environment in support of nutrition data systems in South Asia. [ABSTRACT FROM AUTHOR]

Background: Children, especially disadvantaged children in poor countries, were expected to be among the "biggest victims" of the Covid pandemic. Economic burdens, decreased nutritious foods, reduced medical care, school closures, and ill‐health or death of family members were predicted to increase child undernutrition and developmental delays, and diminish home child‐rearing quality. Methods: A planned nutrition intervention could not be implemented due to Covid restrictions. However, three surveys (pre‐Covid [December 2019], July 2021, and September 2021) in 280 Nepali households (309 parent‐dyads, 368 children, 6–66 months old) collected demographics, child anthropometry and development (Ages and Stages Questionnaire‐3 [ASQ‐3]), and home child‐rearing quality (caregiver engagement, learning resources, adult supervision [UNICEF's Multiple Indicator Cluster Survey]). Mixed‐effect regression models adjusted for household (wealth, maternal education) and child factors (age, gender) and survey round. Results: Height, mid‐upper‐arm circumference, and head circumference measurements improved over time. The total ASQ‐3 score did not change: Communication scores increased while fine motor and personal‐social scores declined. Girls' growth and development worsened more than boys. Caregiver engagement (especially mothers') generally declined, but learning resource availability increased. More children were left unsupervised at Round 2 than Round 1 or 3. Conclusions: In this sample, some aspects of child growth, development, and home child‐rearing quality improved while others declined. Better understanding of these changes in child well‐being and the family environment during the pandemic could provide insight on how to protect children during future crises. [ABSTRACT FROM AUTHOR]

Maternal depression has been associated with adverse child growth and development; less is known about its relation to children's diet. In a cross‐sectional study embedded at endline of a longitudinal community development intervention, mothers of 629 children (age 23–66 months) in rural Nepal responded to household and children's diet questionnaires and were screened for depression. Child anthropometry and development (Ages and Stages Questionnaire) were assessed. Regression models examined children's diet, growth and development, adjusting for household, child and maternal characteristics. The prevalence of maternal depression was 21%. Maternal depression was associated with 11% lower likelihood that the child consumed one additional food group [Poisson regression, adjusted relative risk (aRR) 0.89, 95% confidence intervals (95% CI 0.81, 0.99), p = 0.024] and 13% lower likelihood that the child consumed one additional animal source food (ASF) [aRR 0.87, (95% CI 0.76, 1.01), p = 0.061] compared with children of nondepressed mothers. However, maternal depression was not associated with either child anthropometry or development: these outcomes were strongly associated with better home child‐rearing quality. Stunting also related to child age and intervention group; child development related to mother's education and household wealth. This study suggests a correlation between maternal depression and child dietary diversity. This association could be due to unmeasured confounders, and therefore, further research is warranted. Understanding the relationship of depression to child outcomes—and the role of other potentially compensatory household factors—could help address some of the earliest, modifiable influences in a child's life and contribute to innovative approaches to improve child well‐being. [ABSTRACT FROM AUTHOR]

Early marriage (EM) and early childbearing (ECB) have far‐reaching consequences. This study describes the prevalence, trends, inequalities, and drivers of EM and ECB in South Asia using eight rounds of Demographic and Health Survey data across 13 years. We report the percentage of ever‐married women aged 20–24 years (n = 105,150) married before 18 years (EM) and with a live birth before 20 years (ECB). Relative trends were examined using average annual rate of reduction (AARR). Inequalities were examined by geography, marital household wealth, residence, and education. Sociodemographic drivers of changes for EM were assessed using regression decomposition analyses. We find that EM/ECB are still common in Bangladesh (69%/69%), Nepal (52%/51%), India (41%/39%), and Pakistan (37%/38%), with large subnational variation in most countries. EM has declined fastest in India (AARR of –3.8%/year), Pakistan (–2.8%/year), and Bangladesh (–1.5%/year), but EM elimination by 2030 will not occur at these rates. Equity analyses show that poor, uneducated women in rural areas are disproportionately burdened. Regression decomposition analysis shows that improvements in wealth and education explained 44% (India) to 96% (Nepal) of the actual EM reduction. Investments across multiple sectors are required to understand and address EM and ECB, which are pervasive social determinants of maternal and child wellbeing. [ABSTRACT FROM AUTHOR]

Developmental delays affect between 150 and 200 million children <5 years of age worldwide. Outside of diet supplement studies, relatively little is known about the relationships between diet quality and developmental status in resource‐poor settings. We examined associations between different aspects of dietary quality (dietary diversity score [DDS] and animal‐source food [ASF] consumption) and child development (assessed using the Ages and Stages Questionnaire‐3 [ASQ‐3]) among children whose families were enrolled in a community development intervention trial (implemented by Heifer Nepal) in western Nepal. Two sets of analyses were performed: (a) cross‐sectional Sample (N = 629) seen at the endline survey and (b) longitudinal sample (N = 269) with complete dietary records (six surveys over 48 months). In both samples, child development was significantly related to household wealth, maternal education, and especially home environmental quality. In the cross‐sectional sample, greater consumption of eggs (adjusted odds ratio [aOR] 0.80, p =.04) or dairy products (aOR 0.95, p =.05) over the previous 7 days significantly reduced odds of low total ASQ score, by logistic regression analysis. In the longitudinal sample, only egg consumption and cumulative DDS and ASF scores were associated with significantly reduced odds of low total ASQ score (aORs 0.59–0.89). In adjusted linear regression analysis, both cumulative DDS (β [CI]: 1.92 [0.4, 3.5]) and ASF scores (2.46 [0.3, 4.7]) were significantly associated with greater continuous total child development. Programmes targeting child development must address home environmental quality as well as long‐term diet quality. [ABSTRACT FROM AUTHOR]

Optimal child growth requires a combination of nutrition‐specific and sensitive interventions in the first 1,000 days. There is limited guidance on how to measure the population‐level coverage of nutrition‐sensitive social protection (NSSP), which is designed with explicit nutrition goals and often provides food or cash transfers and co‐coverage with nutrition and health intervention. In this study in India, we designed a questionnaire that captures seven core NSSP program elements (transfer type, size, modality, population, timing, provider, conditionalities), then used cognitive testing to refine the questionnaire, and then implemented the questions as part of a telephone survey. Cognitive testing indicated variability in understanding the terms used to specify NSSP programs, including the need to use regional program names. Respondents also had difficulty recalling the timing of the benefit receipt. We included the refined NSSP coverage questions in a phone‐based survey with 6,627 mothers with children <2 years across six states. Coverage of subsidized food was 73% across all households. Women were more likely to report receiving food than cash transfers during pregnancy (89% vs. 60%) and during lactation (75% vs. 13%). Co‐coverage of NSSP with nutrition and health interventions during pregnancy (16%) and early childhood (3%) was low. It was feasible to measure coverage of NSSP investments in these populations; however, further research is needed to comprehensively assess all the dimensions of the NSSP benefits, including benefit adequacy and the validity of these questions when administered in person and by phone. [ABSTRACT FROM AUTHOR]

Despite substantial reductions in recent years in Nepal, stunting prevalence in children younger than 5 years remains high and represents a leading public health concern. To identify factors contributing to the stunting burden, we report multilevel risk factors associated with stunting in 4,853 children aged 6-59 months in a nationally and agroecologically representative random sample from the first year of the Policy and Science for Health, Agriculture, and Nutrition Community Studies, a community-based observational, mixed-panel study. Mixed effects logistic regressions controlling for multilevel clustering in the study design were used to examine the association of individual-, household-, and community-level factors associated with stunting. Stunting prevalence was 38% in our sample. After adjustment for potential confounding variables, maternal factors, including maternal height and education, were generally the strongest individual-level risk factors for stunting, adjusted odds ratio (AOR) = 2.52, 95% CI [1.96, 3.25], short (<145 cm) versus not short mothers; AOR = 2.09, 95% CI [1.48, 2.96], uneducated mothers versus secondary school graduates. Among the household- and community-level factors, household expenditure and community infrastructure (presence of paved roads, markets, or hospitals) were strongly, inversely associated with increased stunting risk, AOR = 1.68, 95% CI [1.27, 2.24], lowest versus highest household expenditure quintile; AOR = 2.38, 95% CI [1.36, 4.14], less developed (lacking paved roads, markets, or hospitals) versus more developed communities. Although most factors associated with stunting are not rapidly modifiable, areas for future research and possible interventions emerged. [ABSTRACT FROM AUTHOR]