Identifying measures for coverage of nutrition-sensitive social protection programs: Learnings from India.

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.

Availability of national policies, programmes, and survey-based coverage data to track nutrition interventions in South Asia.

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.

Climate shocks and nutrition: The role of food security policies and programs in enhancing maternal and neonatal survival in Niger.

Niger is afflicted with high rates of poverty, high fertility rates, frequent environmental crises, and climate change. Recurrent droughts and floods have led to chronic food insecurity linked to poor maternal and neonatal nutrition outcomes in vulnerable regions. We analyzed maternal and neonatal nutrition trends and subnational variability between 2000 and 2021 with a focus on the implementation of policies and programs surrounding two acute climate shocks in 2005 and 2010. We used four sources of data: (a) national household surveys for maternal and newborn nutritional indicators allowing computation of trends and differences at national and regional levels; (b) document review of food security reports; (c) 30 key informant interviews and; (d) one focus group discussion. Many food security policies and nutrition programs were enacted from 2000 to 2020. Gains in maternal and neonatal nutrition indicators were more significant in targeted vulnerable regions of Maradi, Zinder, Tahoua and Tillabéri, from 2006 to 2021. However, poor access to financial resources for policy execution and suboptimal implementation of plans have hindered progress. In response to the chronic climate crisis over the last 20 years, the Nigerien government and program implementers have demonstrated their commitment to reducing food insecurity and enhancing resilience to climate shocks by adopting a deliberate multisectoral effort. However, there is more that can be achieved with a continued focus on vulnerable regions to build resilience, targeting high risk populations, and investing in infrastructure to improve health systems, food systems, agriculture systems, education systems, and social protection.

Concordance and determinants of mothers' and children's diets in Nigeria: an in-depth study of the 2018 Demographic and Health Survey.

OBJECTIVES: Improving the diversity of the diets in young children 6-23 months is a policy priority in Nigeria and globally. Studying the relationship between maternal and child food group intake can provide valuable insights for stakeholders designing nutrition programmes in low-income and middle-income countries. DESIGN: We examined the relationship between maternal and child dietary diversity among 8975 mother-child pairs using the Nigeria 2018 Demographic and Health Survey (DHS). We assessed concordance and discordance between maternal and child food group intake using the McNemar's χ2 test, and the determinants of child minimum dietary diversity (MDD-C) including women MDD (MDD-W) using hierarchical multivariable probit regression modelling. SETTING: Nigeria. PARTICIPANTS: 8975 mother-child pairs from the Nigeria DHS. PRIMARY AND SECONDARY OUTCOME MEASURES: MDD-C, MDD-W, concordance and discordance in the food groups consumed by mothers and their children. RESULTS: MDD increased with age for both children and mothers. Grains, roots and tubers had high concordance in mother-child dyads (90%); discordance was highest for legumes and nuts (36%), flesh foods (26%), and fruits and vegetables (39% for vitamin-A rich and 57% for other). Consumption of animal source food (dairy, flesh foods, eggs) was higher for dyads with older mothers, educated mothers and more wealthy mothers. Maternal MDD-W was the strongest predictor of MDD-C in multivariable analyses (coef 0.27; 95% CI 0.25 to 0.29, p<0.000); socioeconomic indicators including wealth (p<0.000), mother's education (p<0.000) were also statistically significant in multivariable analyses and rural residence (p<0.000) was statistically significant in bivariate analysis. CONCLUSION: Programming to address child nutrition should be aimed at the mother-child dyad as their food consumption patterns are related and some food groups appear to be withheld from children. Stakeholders including governments, development partners, non-governmental organizations, donors and civil society can act on these findings in their efforts to address undernutrition in the global child population.

How does social desirability bias influence survey-based estimates of the use of antenatal care in rural Nepal? A validation study.

OBJECTIVES: Social desirability bias is often speculated to influence survey responses but seldom studied in healthcare. The objective was to explore whether social desirability scores (SDS) or the presence of interview observers is associated with inaccurate recall and overestimation of antenatal care (ANC) services. DESIGN: Longitudinal validation study comparing recalled receipt of ANC services and nutrition components of ANC against direct observations of care. An adapted short form Marlowe-Crowne questionnaire was used to generate an SDS, and the presence of interview observers was treated as a separate exposure. We assessed accuracy and overestimation of recalled receipt of ANC services against observed receipt using log-binomial regression, adjusting for age, education, first-pregnancy and socioeconomic status. SETTING: Rural Southern Nepal with recruitment from five government health posts. PARTICIPANTS: 401 pregnant women. RESULTS: Social desirability scores did not significantly predict accuracy or overestimation of most types of ANC care except counselling on nausea. Higher SDS was associated with more accurate recall (adjusted RR, aRR 1.08 (95% CI 1.03, 1.12)) and less overestimation (aRR 0.85 (0.80, 0.91)). The presence of mothers-in-law or husbands during interviews was associated with greater overestimation of the number of ANC visits received by more than three visits (aRR 2.07 (1.11, 3.84)) and (aRR 4.19 (2.17, 8.10)), respectively. Those interviewed with friends present tended to overestimate the receipt of counselling on nausea, avoiding alcohol and not smoking. CONCLUSION: The presence of observers can lead to overestimation of the receipt of ANC care and support the conduct of interviews in private settings despite challenges of doing so in village contexts. Findings that the SDS did not predict the accuracy of most types of ANC care might reflect a reality that such questions may not be sensitive from a social-norms perspective. Additional local adaptation of SDS is recommended.

Factors associated with diet diversity among infants and young children in the Eastern and Southern Africa region.

This study explores common factors associated with not meeting minimum dietary diversity (MDD) among 27,072 children aged 6-23 months in Eastern and Southern Africa using data from nine Demographic and Health Surveys from 2013 to 2016. MDD was defined as consumption of more than or equals to five of eight food groups including breast milk in the past 24 h. Equity gaps were calculated as the difference in MDD prevalence between the top and bottom wealth quintiles. Logistic regression was conducted to identify common factors for not meeting MDD at the household, maternal and child levels across two or more countries to inform regional policies to improve children's diets. Kenya had the highest MDD wealth equity gap (40.4 pts), and South Africa had the smallest (14.4 pts). Equity gaps for flesh foods or eggs (up to 39.8 pp) were larger than for grain or legumes (up to 20 pp). Common risk factors for not reaching MDD included younger child age (6-11 months) (n = 9 countries), no formal maternal occupation (n = 6), not receiving vitamin-A supplementation (n = 3), younger maternal age (n = 3), lower maternal education (n = 3), no media (n = 3) or newspaper (n = 3) exposure, lower household wealth quintile (n = 3), use of nonefficient cooking fuel (n = 2), longer time to get to the water source (n = 2), not listening to the radio (n = 2) and higher birth order (n = 2). Priorities for improving MDD in the region include introducing diverse foods at a young age from 6 months with early nutrition counselling, promoting higher maternal education, increasing food purchasing power and ensuring the support of younger mothers.

Moderate Accuracy of Survey Responses about Infant and Young Child Feeding Counseling Reported by Mothers with Children Less than 1 Year of Age in India.

BACKGROUND: Counseling on infant and young child feeding (IYCF) to support optimal breastfeeding and complementary feeding practices is an essential intervention, and accurate coverage data is needed to identify gaps and monitor progress. However, coverage information captured during household surveys has not yet been validated. OBJECTIVES: We examined the validity of maternal reports of IYCF counseling received during community-based contacts and factors associated with reporting accuracy. METHODS: Direct observations of home visits conducted by community workers in 40 villages in Bihar, India served as the "gold standard" to maternal reports of IYCF counseling received during 2-wk follow-up surveys (n = 444 mothers with children less than 1 y of age, interviews matched to direct observations). Individual-level validity was assessed by calculating sensitivity, specificity, and AUC. Population-level bias was measured using the inflation factor (IF). Multivariable regression models were used to examine factors associated with response accuracy. RESULTS: Prevalence of IYCF counseling during home visits was very high (90.1%). Maternal report of any IYCF counseling received in the past 2 wk was moderate (AUC: 0.60; 95% CI: 0.52, 0.67), and population bias was low (IF = 0.90). However, the recall of specific counseling messages varied. Maternal report of any breastfeeding, exclusive breastfeeding, and dietary diversity messages had moderate validity (AUC > 0.60), but other child feeding messages had low individual validity. Child age, maternal age, maternal education, mental stress, and social desirability were associated with reporting accuracy of multiple indicators. CONCLUSIONS: Validity of IYCF counseling coverage was moderate for several key indicators. IYCF counseling is an information-based intervention that may be received from various sources, and it may be challenging to achieve higher reporting accuracy over a longer recall period. We consider the modest validity results as positive and suggest that these coverage indicators may be useful for measuring coverage and tracking progress over time.

COVID-19, nutrition, and gender: An evidence-informed approach to gender-responsive policies and programs.

In addition to the direct health impacts of COVID-19, government and household mitigation measures have triggered negative indirect economic, educational, and food and health system impacts, hitting low-and middle-income countries the hardest and disproportionately affecting women and girls. We conducted a gender focused analysis on five critical and interwoven crises that have emerged because of the COVID-19 crisis and exacerbated malnutrition and food insecurity. These include restricted mobility and isolation; reduced income; food insecurity; reduced access to essential health and nutrition services; and school closures. Our approach included a theoretical gender analysis, targeted review of the literature, and a visual mapping of evidence-informed impact pathways. As data was identified to support the visualization of pathways, additions were made to codify the complex interrelations between the COVID-19 related crises and underlying gender relations. Our analysis and resultant evidence map illustrate how underlying inequitable norms such as gendered unprotected jobs, reduced access to economic resources, decreased decision-making power, and unequal gendered division of labor, were exacerbated by the pandemic's secondary containment efforts. Health and nutrition policies and interventions targeted to women and children fail to recognize and account for understanding and documentation of underlying gender norms, roles, and relations which may deter successful outcomes. Analyzing the indirect effects of COVID-19 on women and girls offers a useful illustration of how underlying gender inequities can exacerbate health and nutrition outcomes in a crisis. This evidence-informed approach can be used to identify and advocate for more comprehensive upstream policies and programs that address underlying gender inequities.

Cognitive testing of questions about antenatal care and nutrition interventions in southern Nepal.

Large scale surveys such as the Demographic and Health Surveys (DHS) are used to measure the coverage and quality of antenatal care (ANC)-related services. Studies have increasingly validated questions from these surveys, though few have explored respondent comprehension or associated thought processes. This study aimed to use cognitive testing and validation approaches to understand how survey respondents understand questions related to ANC-related nutrition services. The study was nested within a larger validation study in southern Nepal. Pregnant women's receipt of ANC related services was directly observed at five health posts followed by a recall interview at 6 months postpartum. A week later, a survey module was re-administered to 30 women containing 15 questions about receipt of ANC care and specifically nutrition-related services. Detailed probing was used to identify cognitive challenges related to comprehension, retrieval, judgement, and response. Respondents accurately recalled the four specific ANC visits recommended by the government of Nepal but those with more visits struggled to estimate the total number of ANC visits they had made. A number of terms including "antenatal care, "nutrition" and "breastfeeding" were challenging for many respondents to understand. Visits to private providers including for ultrasounds were inconsistently included in ANC visit counts suggesting that question wording could better specify the type of care. Many respondents over-estimated the number of iron folic acid (IFA) supplements taken during pregnancy, and recall was challenging. Calculations were based on estimating the number of months between first ANC visit to delivery, and only sometimes factored in missed tablets. Opportunities exist to improve questions to facilitate better comprehension by respondents through a combination of using local terms and explanations, reordering some questions, and adapting questions to better match respondents' approaches to estimating numeric responses.

Landscape of official development assistance for nutrition data and information systems.

Nutrition data and information systems (ND&IS) are critical to guide the prioritisation, collection, analysis and dissemination of nutrition data in countries. However, there is limited guidance for countries regarding how to invest in their ND&IS and little is known about current financing allocations by both countries and donors. This hinders our ability to identify the most critical funding gaps and to effectively advocate for increased financial commitments to ND&IS. To better characterise donor investments, we conducted a review of Official Development Assistance (ODA) financing for ND&IS between the years 2017 and 2019. The analysis showed overall donor financing for ND&IS is not trending up between 2017 and 2019 with the majority of funding being channelled through multilateral organisations to the health sector and spent on global initiatives and emergency early warning system and surveillance activities. Given these findings, donors should dedicate at least 5% (4%-6%) of nutrition investments, alongside country governments, to support country capacity building and strengthening of ND&IS. Donors should also consider channelling a larger part of ODA for ND&IS activities through public institutions to build their capacity to manage ND&IS strengthening.

Critical assessment of the current indicator for antenatal iron-containing supplementation coverage: Insights from a mixed-methods study.

Daily consumption of iron-containing supplements is recommended for all pregnant women but there is no approved global standard indicator for assessing supplementation coverage. Furthermore, the validity of commonly used coverage indicators for iron-containing supplement consumption is questionable. The WHO-UNICEF Technical Expert Advisory Group on Nutrition Monitoring, and partners, have systematically worked to identify a feasible and valid indicator of iron-containing supplement coverage for reporting by countries. In 2019, we conducted key informant interviews with respondents in eight countries, fielded an online survey (in three languages using SurveyMonkey) to which 142 nutrition professionals from 52 countries responded, and used Demographic and Health Surveys (DHS) data from four countries to assess determinants of the quality of iron-containing supplement coverage data. Less than half (45%) of online survey respondents were satisfied with the current methods for collecting iron-containing supplement coverage data in their context. Recommended changes by study respondents include recall period <5 years, adding questions about counselling, including other beneficiary groups, and assessing supply chain functionality. The DHS analysis suggested an association between time since pregnancy and data quality. Data heaping on multiples of 30 was observed in 40%-75% of data. There is a clear demand for a revised indicator and measurement guidance for coverage of iron-containing supplementation during pregnancy. Future research should continue the development and validation of a global indicator, to more precisely validate the quality of recall data, including the distinction between distribution and consumption using various question formulations.

Unequal coverage of nutrition and health interventions for women and children in seven countries.

OBJECTIVE: To examine inequalities and opportunity gaps in co-coverage of health and nutrition interventions in seven countries. METHODS: We used data from the most recent (2015-2018) demographic and health surveys of mothers with children younger than 5 years in Afghanistan (n = 19 632), Bangladesh (n = 5051), India (n = 184 641), Maldives (n = 2368), Nepal (n = 3998), Pakistan (n = 8285) and Sri Lanka (n = 7138). We estimated co-coverage for a set of eight health and eight nutrition interventions and assessed within-country inequalities in co-coverage by wealth and geography. We examined opportunity gaps by comparing coverage of nutrition interventions with coverage of their corresponding health delivery platforms. FINDINGS: Only 15% of 231 113 mother-child pairs received all eight health interventions (weighted percentage). The percentage of mother-child pairs who received no nutrition interventions was highest in Pakistan (25%). Wealth gaps (richest versus poorest) for co-coverage of health interventions were largest for Pakistan (slope index of inequality: 62 percentage points) and Afghanistan (38 percentage points). Wealth gaps for co-coverage of nutrition interventions were highest in India (32 percentage points) and Bangladesh (20 percentage points). Coverage of nutrition interventions was lower than for associated health interventions, with opportunity gaps ranging from 4 to 54 percentage points. CONCLUSION: Co-coverage of health and nutrition interventions is far from optimal and disproportionately affects poor households in south Asia. Policy and programming efforts should pay attention to closing coverage, equity and opportunity gaps, and improving nutrition delivery through health-care and other delivery platforms.

Validation of maternal report of nutrition-related interventions and counselling during antenatal care in southern Nepal.

The delivery of nutrition-related interventions and counselling during antenatal care is critical for a healthy pregnancy for both mother and child. However, the accuracy of maternal reports of many of these services during household surveys has not yet been examined. Our objectives were to assess the validity of the maternal reports of 10 antenatal nutrition interventions, including counselling, and examine associates between maternal characteristics and accuracy. Maternal report of services received collected during a post-partum survey was compared to the gold standard, the direct observation of all women's antenatal care visits. Individual-level validity was assessed by calculating indicator sensitivity, specificity and area under the operating curve (AUC). The inflation factor (IF) measured population-level bias. For five indicators, the high true coverage limited our ability to assess the validity of the maternal reports. There were no indicators that had both high individual-level validity (AUC > 0.70) and low population bias (0.75 < IF < 1.25). Indicators with greater true coverage estimates had higher sensitivity and lower specificity estimates compared to those indicators with lower true coverage. There were no maternal characteristics associated with the accuracy of the report. Maternal report of antenatal nutrition-related interventions and counselling during household surveys was found to have variable validity across indicators. Additional research in settings with varying coverage levels should be considered to best inform antenatal care coverage measurement in household surveys.

Using cognitive interviewing to bridge the intent-interpretation gap for nutrition coverage survey questions in India.

Designing survey questions that clearly and precisely communicate the question's intent and elicit responses based on the intended interpretation is critical but often undervalued. We used cognitive interviewing to qualitatively assess respondents' interpretation of and responses to questions pertaining to maternal and child nutrition intervention coverage. We conducted interviews to cognitively test 25 survey questions with mothers (N = 21) with children less than 1 year in Madhya Pradesh, India. Each question was followed by probes to capture information on four cognitive stages-comprehension, retrieval, judgement, and response. Data were analysed for common and unique patterns across the survey questions. We identified four types of cognitive challenges: (1) retention of multiple concepts in long questions: difficulty in comprehending and retaining questions with three or more key concepts; (2) temporal confusion: difficulty in conceptualizing recall periods such as "in the last 6 months" as compared to life stages such as pregnancy; (3) interpretation of concepts: mismatch of information being asked, meaning of certain terms and intervention scope; and (4) understanding of technical terms: difficulty in understanding commonly used technical words such as "breastfeeding" and "antenatal care" and requiring use of simple alternative language. Findings from this study will be useful for stakeholders involved in survey design and implementation, especially those conducting large-scale household surveys to measure coverage of essential nutrition interventions.

Advancing nutrition measurement: Developing quantitative measures of nutrition service quality for pregnant women and children in low- and middle-income country health systems.

The health sector plays an important role in the delivery of high-quality nutrition interventions to women and children in low- and middle-income countries (LMICs). However, there are no standardized approaches to defining and measuring nutrition service quality in these contexts. This study aims to systematically develop quality of care indices for direct health systems nutrition interventions using a five-step process: (1) identify recommended interventions for inclusion in indices, (2) extract service readiness, provision of care, and experience of care items from intervention-specific clinical guidelines, (3) map items to data available in global health facility surveys, (4) conduct an expert survey to prioritize interventions and items, and (5) use findings from previous steps to propose quality of care metrics. Thirty-two recommended interventions were identified, for which the guidelines review yielded 763 unique items that were reviewed by experts. The proposed nutrition quality of care indices for pregnant women reflects eight interventions and the indices for children under 5 reflects six interventions. The indices provide a standardized measure for nutrition intervention quality and can be operationalized using existing health facility assessment data, facilitating their use by LMIC decision makers for planning and resource allocation.

Design Factors for Food Supplementation and Nutrition Education Interventions That Limit Conclusions about Effectiveness for Wasting Prevention: A Scoping Review of Peer-Reviewed Literature.

We conducted a scoping review to characterize the evidence base for the effectiveness of food supplementation (FS), nutrition education (NE), or FS/NE interventions to prevent wasting among children aged 6 to 59 mo. We aimed to identify gaps in peer-reviewed literature and to develop recommendations for strengthening study designs. We identified 56 unique studies (FS = 21, NE = 19, FS/NE = 16) for which we assessed intervention design factors, implementation context, evaluation methods, and wasting impact. Compared with studies focused on stunting, fewer wasting-focused studies reported weight-for-height z score (WHZ). Midupper arm circumference (MUAC) was more commonly reported in wasting-focused studies (71.4%) than those focused on stunting (36.8%) or wasting and stunting (30.4%). FS studies measured anthropometry (mean, 95% CI) more frequently at every 11.3 (7.8, 14.8) wk than NE interventions at 36.3 (8.8, 62.1) wk (P = 0.036), but not FS/NE interventions at 25.8 (5.6, 49.1) wk (P = 0.138). NE interventions tended to be of longer duration than FS or FS/NE interventions. Only 6 studies followed and measured children after the intervention period ended. Across all studies, 45% reported a significant effect on wasting; these included FS, NE, and FS/NE interventions. The lack of comparability across studies limits conclusions about the effectiveness of specific types of interventions. To build a more unified evidence base for wasting prevention we recommend that future studies 1) report on a consistent set of metrics, including MUAC; 2) attempt to measure change in wasting incidence using more frequent measures; 3) measure wasting prevalence among the general population; 4) follow children postintervention to assess relapse; 5) measure food insecurity and diet quality; and 6) use harmonized protocols across multiple settings. Such efforts to improve study comparability will strengthen the evidence base, may help unite divergent professional communities, and ultimately accelerate progress toward eliminating child undernutrition.

Developing effective data visualization tools for nutrition: reflections on the design of a Nutrition Scorecard in Nigeria.

There has been a growing number of nutrition data visualization tools (DVTs) to monitor progress towards targets and encourage action. However, there are few documented examples of how to go about designing effective DVTs for nutrition-related audiences. In this Open Letter, we summarize reflections from collaborative efforts between the Nigeria Governors' Forum (NGF) and the Data for Decisions to Expand Nutrition Transformation project (DataDENT) in 2019-2021 to design a sub-national nutrition scorecard that aims to hold Nigeria's 36 Governors accountable to nutrition commitments. Our reflections add to an emerging body of work advocating for DVT design processes to develop a specific theory of change for how the DVT will influence target groups and achieve aims. Once the target audience is identified, it is important to create a strong engagement strategy to ensure that the DVT promotes constructive action. We also highlight the importance of identifying actionable indicators through participatory processes. We hope that these insights about collaborative DVT design can be applied by countries and institutions who want to develop similar tools to advance the nutrition agenda in their context.

Season of Data Collection of Child Dietary Diversity Indicators May Affect Conclusions About Longer-Term Trends in Peru, Senegal, and Nepal.

BACKGROUND: The WHO-UNICEF minimum dietary diversity (MDD) indicator for children aged 6-23 mo is a global monitoring indicator used to track multi-year population-level changes in dietary quality, but the influence of seasonality on MDD estimates remains unclear. OBJECTIVES: To examine how seasonality of data collection may influence population-level MDD estimates and inferences about MDD changes over multiple survey years. METHODS: We selected countries with 3 or more consecutive years of MDD data collection, including continuous national Demographic Health Surveys in Senegal (2012-2017; n = 12,183) and Peru (2005-2016; n = 35,272) and the Policy and Science for Health, Agriculture, and Nutrition sentinel site seasonal surveys (covering 3 seasons/y) in Nepal (2013-2016; n  = 1309). The MDD prevalence (≥5 of 8 food groups) and an 8-item continuous Food Group Score (FGS) and 95% CIs were estimated by month and compared for lean and non-lean seasons using ordinary least squares regression with dummy variables for year. RESULTS: The national prevalence of MDD was higher in Peru (75.4%) than in Nepal (39.1%) or in Senegal (15.7%). Children in Peru were 1.8% (coefficient, -0.0179; 95% CI, -0.033 to -0.002) less likely to achieve MDD during the lean season. Similar seasonal magnitudes were observed in Senegal (coefficient, -0.0347; 95% CI, -0.058 to -0.011) and Nepal (coefficient, -0.0133; 95% CI, -0.107 to 0.081). The FGS was about 0.1 item lower during the lean season in all 3 countries. In comparison, MDD increased by an average rate of only 4.2 and 4.4 percentage points per 5 y in Peru and Senegal, respectively. Intakes of specific food groups were stable across months in all countries, with the provitamin A-rich food group exhibiting the most seasonality. CONCLUSIONS: The magnitude of seasonal variation in MDD prevalence was smaller than expected but large relative to longer-term changes. If large-scale surveys are not conducted in the same season, biased conclusions about trends are possible.

Mobilising evidence, data, and resources to achieve global maternal and child undernutrition targets and the Sustainable Development Goals: an agenda for action.

As the world counts down to the 2025 World Health Assembly nutrition targets and the 2030 Sustainable Development Goals, millions of women, children, and adolescents worldwide remain undernourished (underweight, stunted, and deficient in micronutrients), despite evidence on effective interventions and increasing political commitment to, and financial investment in, nutrition. The COVID-19 pandemic has crippled health systems, exacerbated household food insecurity, and reversed economic growth, which together could set back improvements in undernutrition across low-income and middle-income countries. This paper highlights how the evidence base for nutrition, health, food systems, social protection, and water, sanitation, and hygiene interventions has evolved since the 2013 Lancet Series on maternal and child nutrition and identifies the priority actions needed to regain and accelerate progress within the next decade. Policies and interventions targeting the first 1000 days of life, including some newly identified since 2013, require renewed commitment, implementation research, and increased funding from both domestic and global actors. A new body of evidence from national and state-level success stories in stunting reduction reinforces the crucial importance of multisectoral actions to address the underlying determinants of undernutrition and identifies key features of enabling political environments. To support these actions, well-resourced nutrition data and information systems are essential. The paper concludes with a call to action for the 2021 Nutrition for Growth Summit to unite global and national nutrition stakeholders around common priorities to tackle a large, unfinished undernutrition agenda-now amplified by the COVID-19 crisis.