Evidence on Milk Consumption and Production Linkages from Rural Bihar, India.

Background: Milk is an important source of protein for many Indian households. However, milk intake is very low. Hence, it is necessary to examine production-consumption linkages of milk within the paradigm of accessibility, availability, and affordability. Objectives: This study examined linkages between milk consumption and production, accounting for sales and factors associated with production investments in rural Bihar, a major milk-producing state of India with very poor nutritional status. Methods: A panel of households from the Gaya and Nalanda districts of Bihar were surveyed: the first round in July and August 2019 (n = 2026 households) and the second round from December 2019 to January 2020 (n = 2001 households). Data were collected on household consumption, production, and sale of milk, as well as other foods. The study examines the consumption-production linkage of milk and the association of dietary diversity with consumption from own production, with households as the unit of analysis. Ordinary least square regression analysis of average monthly household milk consumption was used to identify factors associated with milk consumption, particularly milk production. Results: The median (Quartile 1, Quartile 3) per capita milk consumption per day was 83.3 (41.6, 166.6) mL in the milk-consuming households. Average monthly household milk consumption in liters was higher in milk-producing households [ß: 7.1; 95% confidence interval (CI): 6.1, 8.1] than households relying on market purchases. Household milk consumption was higher in the third tertile of milk production than the first tertile of production (ß: 14.3 L/wk; 95% CI: 12.1, 17.2) and lower in the highest tertile of household sale quantity (ß: -8.8 L/wk in tertile 3, 95% CI: -12.7, -5) than the first tertile of household sale quantity of milk. Conclusions: The study provides evidence that consumption of milk in rural households is associated with own production such that households with higher production consume more. However, sale preferences restrict the quantity of milk consumed in milk-producing households.

Deteriorating complementary feeding practices and dietary quality in Jordan: Trends and challenges.

Quality complementary feeding (CF) of infants and young children is key to their growth and development. But in Jordan, providing appropriate CF remains a challenge. This study assesses trends in infant and young child feeding (IYCF) practices, and consumption by infants and young children aged 6-23 months of breast milk substitutes (BMSs), sugar-sweetened beverages (SSBs), and micronutrient-rich foods in Jordan from 1990 to 2017. We combined dietary data on infants and young children from six Demographic and Health Surveys (DHS) (n = 14,880 children) to compute IYCF indicators. The latter included minimum dietary diversity (MDD), minimum meal frequency (MMF), and minimum acceptable diet (MAD), as well as intake of micronutrient-rich foods and food groups, specific SSBs, and infant formula. We conducted trend analyses using logistic regression models adjusted for child's age in month, child age squared, governorates, urban/rural residence, mother's educational attainment, and household wealth quintiles. We found that the proportion of consumption of micronutrient-rich food groups declined significantly between 1990 and 2017, with fewer infants and young children consuming eggs (OR = 0.39, p ≤ 0.001, 2002 reference), meat, poultry, and fish (OR = 0.25, p ≤ 0.001, 2002 reference), dairy (OR = 0.59, p ≤ 0.001, 2002 reference) and Vitamin A-rich fruits and vegetables (OR = 0.66, p ≤ 0.001, 2002 reference). Conversely, there was increased use of BMSs and sugar-sweetened juices that paralleled a decline in the share of infants and young children meeting appropriate CF practices and consuming micronutrient-rich foods and food groups. By 2017, children aged 6-23 months were significantly less likely to meet MDD, MMF, and subsequently MAD; the odds of consuming BMSs were almost three times the reference (OR = 3.8, p ≤ 0.001, 1990 reference), as were the odds of consuming sugar sweetened juices  (OR = 3.63, p ≤ 0.001, 1990 reference). Food insecurity and undernutrition are low in Jordan; however, overweight and obesity rates are increasing concurrently as are micronutrient deficiencies. This highlights the need for policymakers to address factors at individual and household levels (behaviours and practices) as well as environmental issues (increasing access to unhealthy and ultraprocessed foods).

Women's input and decision-making in agriculture are associated with diet quality in rural Tanzania.

Background: Women's empowerment is one critical pathway through which agriculture can impact women's nutrition; however, empirical evidence is still limited. We evaluated the associations of women's participation, input, and decision-making in key agricultural and household activities with women's diet quality. Methods: We analyzed data from a cross-sectional study of 870 women engaged in homestead agriculture. We used food frequency questionnaires to assess women's diets and computed women's diet quality using the Prime Diet Quality Score (PDQS) (range 0-42), which captures healthy and unhealthy foods. We evaluated women's decision-making in 8 activities, food crop farming, cash crop farming, livestock raising, non-farm economic activities, wage/salary employment, fishing, major household expenditures, and minor household expenditures. Generalized estimating equations (GEE) linear models were used to evaluate associations between (a) women's participation, (b) decision-making, (c) adequate input, (d) adequate extent of independence in decision-making in agriculture, and (e) adequate input in use of agricultural income with their PDQS. Adequate input was defined as input into some, most or all decisions compared to input into few decisions or none. Adequate extent of independence was defined as input to a medium or high extent compared to input to a small extent or none. Findings: Median PDQS was 19 (IQR: 16-21). Women's adequate input in decision-making on wage and salary employment (estimate: 4.19, 95% CI: 2.80, 5.57) and minor expenditures were associated with higher PDQS vs. inadequate input. Women with independence in decision-making on livestock production (estimate: 0.97, 95% CI: 0.05, 1.90) and minor household expenditures, and women with adequate decision-making in the use of income from wages/salaries (estimate: 3.16, 95% CI: 2.44, 3.87) had higher PDQS. Participation in agricultural activities was positively associated with PDQS. Conclusions: Women's participation and input in decision-making in wage and salary employment, livestock production, and minor household expenditures were strongly associated with the consumption of better-quality diets. Women participating in multiple farm activities were also likely to have better diet quality. This study adds to the growing evidence on the pathways through which women's empowerment may influence women's nutrition in rural Tanzania.

A longitudinal survey on changes in employment and food consumption during the COVID-19 pandemic in rural Bihar, India.

BACKGROUND: There is a need for empirical evidence on changes in employment and food consumption during pandemic situations in households belonging to the informal economy. OBJECTIVE: To examine changes in food insecurity, household diet diversity, and employment in agriculture during the pre-COVID-19 (2019-early 2020) and COVID-19 pandemic (September 2021) periods. METHODS: A total of 1632 households from a face-to-face pre-COVID-19 survey and 621 of those followed up by a telephonic survey during COVID-19 in Bihar, India, were included in the analyses. Household food insecurity, household diet diversity score (HDDS), and employment change (agriculture or nonagriculture) were assessed during both periods. Food insecurity and diet diversity in the 2 periods were examined by logistic regression. A change in the odds of being food insecure or having low HDDS was examined as an interaction between time and employment status. RESULTS: Prevalence of food insecurity increased from 21% to 55%, and low diet diversity increased from 47% to 69% in households assessed in both surveys. Employment status was not associated with food insecurity or low HDDS during the baseline survey. However, during the pandemic, ∼30% of households changed their employment from agriculture to nonagriculture and were more likely to be food insecure (adjusted odds ratio [aOR]: 2.77; 95% confidence interval [CI] 1. 78-4.32) and have low HDDS (aOR: 1.66; 95%CI: 1.05-2.61), than those who remained in agriculture. Similarly, those who retained nonagricultural employment during the pandemic were more likely to be food insecure (aOR: 2.23; 95%CI: 1.45-3.43) and have low HDDS (aOR: 1.73; 95%CI: 1.11-2.70), compared to those who remained in agriculture. In propensity score-adjusted interaction analysis of time and employment, food insecurity and low HDDS remained significantly associated with nonagricultural employment during the pandemic. CONCLUSIONS: Enhanced support to rural households in agricultural occupations could buffer them from unexpected crises, which may also protect their nutritional intake.

Contextual Factors Influencing Production, Distribution, and Consumption of Nutrient-Rich Foods in Bihar, India: A Qualitative Study of Constraints and Facilitators.

BACKGROUND: Production-to-consumption linkages are important to improve consumption of nutrient-rich foods to tackle malnutrition. However, understanding specific contextual factors influencing production, distribution, and consumption in rural communities is necessary. OBJECTIVE: To explore household-, farm-, and market-level factors affecting consumption of nutrient-rich foods among producer and nonproducer households in Bihar, India. METHODS: We conducted focus group discussions (FGDs) and key informant interviews (KIIs) in producer and nonproducer households of Gaya and Nalanda districts in Bihar to examine factors affecting production and consumption of red lentils, green leafy vegetables (GLVs), milk, eggs, and chicken. Through the KIIs, we identified distribution chains and elicited market-level challenges faced by producers, sellers, and consumers. Data were translated, transcribed, and analyzed thematically using NVivo version 9. RESULTS: Findings from 27 FGDs indicate that consumers and producers were aware of the importance of nutrient-rich foods to health and the necessity of prioritizing their consumption in children. Food preferences, social factors, seasons, religions, and livestock epidemics influenced consumption. Among producers, consumption was mainly dependent on own production. Nonproducers perceived that production could help overcome the barrier of affordability and improve consumption. Data from 69 KIIs indicated that markets were unfavorable in terms of profitability for producers, spoilage and losses for market players, issues of accessibility, and availability for consumers. CONCLUSIONS: A local context-specific multipronged approach such as understanding sociocultural factors, own production, and local markets influencing consumption needs to be examined further to improve consumption of nutrient-rich foods among agricultural communities in India.

Measurement of diets that are healthy, environmentally sustainable, affordable, and equitable: A scoping review of metrics, findings, and research gaps.

Introduction: Research on the impacts of dietary patterns on human and planetary health is a rapidly growing field. A wide range of metrics, datasets, and analytical techniques has been used to explore the role of dietary choices/constraints in driving greenhouse gas (GHG) emissions, environmental degradation, health and disease outcomes, and the affordability of food baskets. Many argue that each domain is important, but few have tackled all simultaneously in analyzing diet-outcome relationships. Methods: This paper reviews studies published between January 2015 and December 2021 (inclusive) that examined dietary patterns in relation to at least two of the following four thematic pillars: (i) planetary health, including, climate change, environmental quality, and natural resource impacts, (ii) human health and disease, (iii) economic outcomes, including diet cost/affordability, and (iv) social outcomes, e.g., wages, working conditions, and culturally relevant diets. We systematically screened 2,425 publications by title and abstract and included data from 42 eligible publications in this review. Results: Most dietary patterns used were statistically estimated or simulated rather than observed. A rising number of studies consider the cost/affordability of dietary scenarios in relation to optimized environmental and health outcomes. However, only six publications incorporate social sustainability outcomes, which represents an under-explored dimension of food system concerns. Discussion: This review suggests a need for (i) transparency and clarity in datasets used and analytical methods; (ii) explicit integration of indicators and metrics linking social and economic issues to the commonly assessed diet-climate-planetary ecology relationships; (iii) inclusion of data and researchers from low- and middle-income countries; (iv) inclusion of processed food products to reflect the reality of consumer choices globally; and (v) attention to the implications of findings for policymakers. Better understanding is urgently needed on dietary impacts on all relevant human and planetary domains simultaneously.

Children's and adolescents' rising animal-source food intakes in 1990-2018 were impacted by age, region, parental education and urbanicity.

Animal-source foods (ASF) provide nutrition for children and adolescents' physical and cognitive development. Here, we use data from the Global Dietary Database and Bayesian hierarchical models to quantify global, regional and national ASF intakes between 1990 and 2018 by age group across 185 countries, representing 93% of the world's child population. Mean ASF intake was 1.9 servings per day, representing 16% of children consuming at least three daily servings. Intake was similar between boys and girls, but higher among urban children with educated parents. Consumption varied by age from 0.6 at <1 year to 2.5 servings per day at 15-19 years. Between 1990 and 2018, mean ASF intake increased by 0.5 servings per week, with increases in all regions except sub-Saharan Africa. In 2018, total ASF consumption was highest in Russia, Brazil, Mexico and Turkey, and lowest in Uganda, India, Kenya and Bangladesh. These findings can inform policy to address malnutrition through targeted ASF consumption programmes.

Impact of the COVID-19 lockdown on household diet diversity in rural Bihar, India: a longitudinal survey.

BACKGROUND: The COVID-19 pandemic disrupted livelihoods and diets across the world. This study aimed to assess changes in household diet diversity and food consumption between the pre-COVID-19 period (December 2019-January 2020) and during the lockdown (March-May 2020), and to identify the socio-economic characteristics that determine these changes in rural Bihar, India. METHODS: Households that had provided their phone numbers in the pre-COVID-19 household survey (n = 1797) were contacted for interviews during the lockdown telephonic survey in a longitudinal survey in two districts (Gaya and Nalanda) in Bihar. In total, 939 households were interviewed. Using data on food consumption from both surveys, 876 households were included in the analysis. Food and Agriculture Organization's household diet diversity score (HDDS) was used to compare diet diversity between the pre-COVID-19 period and during the lockdown. Logistic regression was used to identify factors affecting household diet diversity and food consumption in the study households. RESULTS: Low diet diversity increased from 51.6% (95% CI 48.3-54.9) to 75.8% (95% CI 73.0-78.6) from the pre-COVID-19 to the lockdown period. Reduced food consumption was reported across all foods with nearly a quarter of the households reporting reduced consumption of fruits (27%), pulses (25%) and cereals (21%). Nearly 60% and above reported stopping consumption of nutrient-rich foods such as chicken, fish and eggs although the population was predominantly non-vegetarian. Logistic regression analysis revealed that taking a loan from neighbours/relatives (OR = 1.8; 95% CI 1.3-2.5) and belonging to lower social groups (OR = 1.8; 95% CI 1.1-2.9) increased odds of low HDDS. While those possessing ration cards had lower odds of reduced consumption of all food items, it was not associated with stopping consumption of any food item. In an unadjusted analysis, receipt of cash transfer during lockdown was also not associated with diet diversity (OR = 1.2; 95% CI 0.9-1.7). CONCLUSIONS: COVID-19 has impacted the consumption of nutrient-rich foods among already low-income rural households in India. Maintaining diet diversity among socio-economically vulnerable households during periods when food consumption is most threatened by shocks such as COVID-19 would need sustained government support in terms of social protection coverage and benefit transfers in rural communities.

Relationship between Animal Sourced Food Consumption and Early Childhood Development Outcomes.

Early-childhood development (ECD) is an important determinant of a child's cognitive ability, learning, productivity, and lifetime earnings. Animal-sourced food (ASF), which is a rich source of high-quality protein and micronutrients, has been linked with ECD outcomes. This study investigates the relationship between the number, frequency, and cumulative consumption of ASF at 6, 9, 12, and 18 months of age and ECD outcomes at 24 months of age, controlling for physical growth. The study uses data collected from 701 mother−child pairs from an observational birth cohort study carried out in Banke, Nepal. ECD outcomes were assessed through a standardized ages and stages questionnaire (ASQ-3) tool. Separate multivariable ordinary least squares regression models were used to test for associations. Significant positive association was seen between total ASQ-3 score at 24 months of age and any ASF consumption at 18 months (ß = 8.98, p-value < 0.01), controlling for growth outcomes. The study findings highlight the positive contribution and the accumulating benefit of consistent ASF consumption on ECD outcomes. This study recommends support and promotion of ASF intake among young children in Nepal through policy and programming actions relevant to female education; nutrition knowledge; quality ASF production; improved market access; cold storage; and poverty reduction.

How Can Nutrition Research Better Reflect the Relationship Between Wasting and Stunting in Children? Learnings from the Wasting and Stunting Project.

Childhood wasting and stunting affect large numbers of children globally. Both are important risk factors for illness and death yet, despite the fact that these conditions can share common risk factors and are often seen in the same child, they are commonly portrayed as relatively distinct manifestations of undernutrition. In 2014, the Wasting and Stunting project was launched by the Emergency Nutrition Network. Its aim was to better understand the complex relationship and associations between wasting and stunting and examine whether current separations that were apparent in approaches to policy, financing, and programs were justified or useful. Based on the project's work, this article aims to bring a wasting and stunting lens to how research is designed and financed in order for the nutrition community to better understand, prevent, and treat child undernutrition. Discussion of lessons learnt focuses on the synergy and temporal relationships between children's weight loss and linear growth faltering, the proximal and distal factors that drive diverse forms of undernutrition, and identifying and targeting people most at risk. Supporting progress in all these areas requires research collaborations across interest groups that highlight the value of research that moves beyond a focus on single forms of undernutrition, and ensures that there is equal attention given to wasting as to other forms of malnutrition, wherever it is present.

How do children with severe underweight and wasting respond to treatment? A pooled secondary data analysis to inform future intervention studies.

Children with weight-for-age z-score (WAZ) <-3 have a high risk of death, yet this indicator is not widely used in nutrition treatment programming. This pooled secondary data analysis of children aged 6-59 months aimed to examine the prevalence, treatment outcomes, and growth trajectories of children with WAZ <-3 versus children with WAZ ≥-3 receiving outpatient treatment for wasting and/or nutritional oedema, to inform future protocols. Binary treatment outcomes between WAZ <-3 and WAZ ≥-3 admissions were compared using logistic regression. Recovery was defined as attaining mid-upper-arm circumference ≥12.5 cm and weight-for-height z-score ≥-2, without oedema, within a period of 17 weeks of admission. Data from 24,829 children from 9 countries drawn from 13 datasets were included. 55% of wasted children had WAZ <-3. Children admitted with WAZ <-3 compared to those with WAZ ≥-3 had lower recovery rates (28.3% vs. 48.7%), higher risk of death (1.8% vs. 0.7%), and higher risk of transfer to inpatient care (6.2% vs. 3.8%). Growth trajectories showed that children with WAZ <-3 had markedly lower anthropometry at the start and end of care, however, their patterns of anthropometric gains were very similar to those with WAZ ≥-3. If moderately wasted children with WAZ <-3 were treated in therapeutic programmes alongside severely wasted children, we estimate caseloads would increase by 32%. Our findings suggest that wasted children with WAZ <-3 are an especially vulnerable group and those with moderate wasting and WAZ <-3 likely require a higher intensity of nutritional support than is currently recommended. Longer or improved treatment may be necessary, and the timeline and definition of recovery likely need review.

Assessing an aflatoxin exposure biomarker: Exploring the interchangeability and correlation between venous and capillary blood samples.

Exposure to dietary aflatoxins has been recognized as a potential threat to child nutrition and growth, in addition to being a known carcinogen. The ability to accurately assess concentration of aflatoxin in the blood of at-risk individuals is therefore very important to inform public health policies and on-the-ground programs around the world. Venous blood is frequently used to quantify biomarkers of exposure such as AFB1-lysine adducts. However, venous blood collection methods are invasive, requiring highly trained staff, which makes this method challenging to implement, especially in resource-limited settings. In contrast, capillary blood collection by fingerprick is less invasive and has the potential for application in point-of-need monitoring. The aim of this exploratory study was to investigate the correlation and interchangeability of capillary and venous human blood samples in the quantification of AFB1-lysine adduct concentration. A total of 72 venous and capillary blood samples were collected from 36 women of reproductive age (16-49 years) in northern Uganda. All sample specimens were analyzed using high-performance liquid chromatography with fluorescence detection. Regression analysis and Bland-Altman analysis were performed to compare AFB1-lysine concentrations between venous and capillary sample pairs. Bland-Altman analysis of albumin-normalized AFB1-lysine data-bias was -0.023 pg/mg-albumin and the 95% limits of agreement were 0.51 to -0.56 pg/mg-albumin for log-transformed data. There was a positive correlation between albumin-normalized venous and capillary AFB1-lysine concentrations with r of 0.71 (p < .0001). A lack of any accepted clinical cutoff for aflatoxin exposure makes definition of an 'acceptable' limit for statistical analysis and comparison of methods challenging. Our data suggests a positive correlation between albumin-normalized AFB1-lysine concentrations in venous and capillary sample pairs, but relatively weak agreement and interchangeability based on Bland-Altman analysis.

Role of cash transfers in mitigating food insecurity in India during the COVID-19 pandemic: a longitudinal study in the Bihar state.

OBJECTIVE: There are scant empirical data on the impacts of the COVID-19 pandemic on food security across the globe. India is no exception, with insights into the impacts of lockdown on food insecurity now emerging. We contribute to the empirical evidence on the prevalence of food insecurity in Bihar state before and after lockdown, and whether the government's policy of cash transfer moderated negative effects of food insecurity or not. DESIGN: This was a longitudinal study. SETTINGS: The study was conducted in Gaya and Nalanda district of Bihar state in India from December 2019 to September 2020. PARTICIPANTS: A total of 1797 households were surveyed in survey 1, and about 52% (n=939) were followed up in survey 2. Valid data for 859 households were considered for the analysis. MAIN OUTCOME MEASURES: Using the Food Insecurity Experience Scale, we found that household conditions were compared before and after lockdown. The effect of cash transfers was examined in a quasi-experimental method using a longitudinal study design. Logistic regression and propensity score adjusted analyses were used to identify factors associated with food insecurity. RESULTS: Household food insecurity worsened considerably during lockdown, rising from 20% (95% CI 17.4 to 22.8) to 47% (95% CI 43.8 to 50.4) at the sample mean. Households experiencing negative income shocks were more likely to have been food insecure before the lockdown (adjusted OR 6.4, 95% CI 4.9 to 8.3). However, households that received cash transfers had lower odds of being food insecure once the lockdown was lifted (adjusted OR 0.75, 95% CI 0.56 to 0.99). CONCLUSION: These findings provide evidence on how the swift economic response to the pandemic crises using targeted income transfers was relatively successful in mitigating potentially deep impacts of food insecurity.

Modeling the potential impacts of improved monthly income on child stunting in India: a subnational geospatial perspective.

OBJECTIVES: Approximately one-third of the world's stunted (low height-for-age) preschool-aged children live in India. The success of interventions designed to tackle stunting appears to vary by location and depth of poverty. We developed small-area estimation models to assess the potential impact of increments in household income on stunting across the country. DESIGN: Two nationally representative cross-sectional datasets were used: India's National Family Health Survey 4 (2015-2016) and the 68th round of the National Sample Survey on consumer expenditure. The two datasets were combined with statistical matching. Gaussian process regressions were used to perform geospatial modelling of 'stunting' controlling for household wealth and other covariates. SETTING AND PARTICIPANTS: The number of children in this sample totalled 259 627. Children with implausible height-for-age z-scores (HAZs) >5 or <-5, or missing data on drinking water, sanitation facility, mother's education, or geolocation and children not residing in mainland India were excluded, resulting in 207 695 observations for analysis. RESULTS: A monthly transfer of ~$7 (500 Indian rupees) per capita to every household (not targeted or conditional) was estimated to reduce stunting nationally by 3.8 percentage points on average (95% credible interval: 0.14%-10%), but with substantial variation by state. Estimated reduction in stunting varied by wealth of households, with the poorest quintile being likely to benefit the most. CONCLUSION: Improving household income, which can be supported through cash transfers, has the potential to significantly reduce stunting in parts of India where the burdens of both stunting and poverty are high. Modelling shows that for other regions, income transfers may raise incomes and contribute to improved nutrition, but there would be a need for complementary activities for alleviating stunting. While having value for the country as a whole, impact of income gained could be variable, and underlying drivers of stunting need to be tackled through supplementary interventions.

The One Nutrition in Complex Environments (ONCE) study protocol: a cluster-randomized multi-level multi-sectoral intervention to improve nutrition in Uganda.

OBJECTIVE: To implement and measure the effects of a multi-level multi-sectoral social behavior change (SBC) intervention in Agago District of Northern Uganda and to determine the potential for scale-up. INTERVENTION: Compare the Nutrition Impact and Positive Practice (NIPP) approach to a NIPP+ approach. The NIPP approach involves nutrition education and SBC, whereas the NIPP+ adds agricultural inputs, training, and tools to support improved farm and water quality practices. The intervention effect will be measured through lower levels of aflatoxin in grain, lower water contamination, and improved knowledge on nutrition and health. DESIGN: This is a three-arm cluster-randomized controlled superiority trial (cRCT). The study arms include the following: group 1: NIPP; group 2: NIPP+, and group 3: control. Groups 1 and 2 will receive a 12-week intervention (NIPP or NIPP+) with active monitoring and longitudinal follow-up at 2, 6, and 12 months post-intervention. Additionally, an in-depth process and performance evaluation of each intervention arm will be undertaken using quantitative and qualitative methods. A total of 60 clusters from 5 subcounties of the Agago district will be randomly selected, and 15 households per cluster will be recruited using specific inclusion/exclusion criteria for a total of 900 households (300/arm). Respondents for the qualitative portion will be purposely selected. ANALYSIS: We will collect data from all participants at 3 time points: baseline, endline, and 12 months post-intervention. The analysis will utilize intent-to-treat (ITT) using the initial randomization of the treatment arms to determine the overall impact of having the NIPP vs. NIPP+ vs. control. Mixed effects models will be used to determine the role of time-variant and invariant individual household, and community characteristics, as well as measures of exposure and integration on key outcome indicators. A difference-in-difference analysis (baseline/endline, baseline/12 months post-intervention, endline/12 months post-intervention) will also be used to triangulate findings. TRIAL REGISTRATION: NCT04209569 . One Nutrition in Complex Environments (ONCE) Registered 24 December 2019.

Dietary determinants of aflatoxin B1-lysine adduct among infants in Nepal.

BACKGROUND: Aflatoxins are mycotoxins produced by naturally occurring fungi on food, and aflatoxin B1 (AFB1) is carcinogenic, immunotoxic and hepatotoxic. This study assesses the relationship between AFB1 in Nepali infants at 12 months of age and their diet at 9 and 12 months of age. METHODS: The study used data collected from 1329 infants enrolled in the AflaCohort Study. Aflatoxin exposure was assessed at 12 months using serum AFB1-lysine pg/mg albumin biomarker measured using high performance liquid chromatography-fluorescent detection. Dietary data were collected using food frequency questionnaire. We conducted ordinary least squares and quantile regression analyses with backward elimination to assess lagged (9-month diet and 12-month AFB1) and contemporaneous (12-month diet and 12-month AFB1) associations. RESULTS: Eighty-one percent of children at 12 months had detectable levels of serum AFB1-lysine (geometric mean: 0.79 pg/mg albumin, 95% CI: 0.74-0.83). The levels ranged from 0.4 to 85 pg/mg albumin. Dietary diversity at 9 and 12 months were not associated with serum AFB1-lysine levels. Consumption of fish and groundnuts at both 9 and 12 months and infant formula and cauliflower at 9 months were associated with higher serum AFB1-lysine while consumption of bananas and mangoes at 12 months were negatively associated with serum AFB1-lysine (p < 0.05). CONCLUSIONS: High prevalence of detectable AFB1-lysine among infants, and possible links to their dietary patterns argues for more urgent research into which foods in children's diets are most contaminated, and into optimal entry points in the food chain that would allow for effective actions to minimize exposure.

Child stunting starts in utero: Growth trajectories and determinants in Ugandan infants.

Childhood stunting remains a public health burden worldwide. Although many studies have examined early life and in-utero risk factors; most have been observational and have used analytic techniques that make inferences limited to population means, thereby obscuring important within-group variations. This study addressed that important gap. Using data from a birth cohort of Ugandan infants (n = 4528), we applied group-based trajectory modelling to assess diverse patterns of growth among children from birth to 1-year old. A multinomial regression model was conducted to understand the relationship between risk factors and observed patterns across groups. We found that the onset of stunting occurred before birth and followed four distinct growth patterns: chronically stunted (Group 1), recovery (Group 2), borderline stunted (Group 3) and normal (Group 4). The average length-for-age z-score (LAZ) at birth was -2.6, -3.9, -0.6 and 0.5 for Groups 1-4, respectively. Although both Groups 1 and 2 were stunted at birth, stunting persisted in Group 1 while children in Group 2 recovered by the fourth month. Group 3 exhibited mild stunting while Group 4 was normal. Wasting and underweight were observed in all groups, with the highest prevalence of underweight in Group 1. Wasting gradually increased among children born already stunted (Groups 1 and 2). This showed the importance of distinguishing children by their growth patterns rather than aggregating them and only comparing population averages against global growth standards. The design of nutrition interventions should consider the differential factors and potential for growth gains relative to different risks within each group.

Global, regional, and national consumption of animal-source foods between 1990 and 2018: findings from the Global Dietary Database.

BACKGROUND: Diet is a major modifiable risk factor for human health and overall consumption patterns affect planetary health. We aimed to quantify global, regional, and national consumption levels of animal-source foods (ASF) to inform intervention, surveillance, and policy priorities. METHODS: Individual-level dietary surveys across 185 countries conducted between 1990 and 2018 were identified, obtained, standardised, and assessed among children and adults, jointly stratified by age, sex, education level, and rural versus urban residence. We included 499 discrete surveys (91·2% nationally or subnationally representative) with data for ASF (unprocessed red meat, processed meat, eggs, seafood, milk, cheese, and yoghurt), comprising 3·8 million individuals from 134 countries representing 95·2% of the world population in 2018. We used Bayesian hierarchical models to account for differences in survey methods and representativeness, time trends, and input data and modelling uncertainty, with five-fold cross-validation. FINDINGS: In 2018, mean global intake per person of unprocessed red meat was 51 g/day (95% uncertainty interval [UI] 48-54; region-specific range 7-114 g/day); 17 countries (23·9% of the world's population) had mean intakes of at least one serving (100 g) per day. Global mean intake of processed meat was 17 g/day (95% UI 15-21 g/day; region-specific range 3-54 g/day); seafood, 28 g/day (27-30 g/day; 12-44 g/day); eggs, 21 g/day (18-24 g/day; 6-35 g/day); milk 88 g/day (84-93 g/day; 45-185 g/day); cheese, 8 g/day (8-10 g/day; 1-34 g/day); and yoghurt, 20 g/day (17-23 g/day; 7-84 g/day). Mean national intakes were at least one serving per day for processed meat (≥50 g/day) in countries representing 6·9% of the global population; for cheese (≥42 g/day) in 2·3%; for eggs (≥55 g/day) in 0·7%; for milk (≥245 g/day) in 0·3%; for seafood (≥100 g/day) in 0·8%; and for yoghurt (≥245 g/day) in less than 0·1%. Among the 25 most populous countries in 2018, total ASF intake was highest in Russia (5·8 servings per day), Germany (3·8 servings per day), and the UK (3·7 servings per day), and lowest in Tanzania (0·9 servings per day) and India (0·7 servings per day). Global and regional intakes of ASF were generally similar by sex. Compared with children, adults generally consumed more unprocessed red meat, seafood and cheese, and less milk; energy-adjusted intakes of other ASF were more similar. Globally, ASF intakes (servings per week) were higher among more-educated versus less-educated adults, with greatest global differences for milk (0·79), eggs (0·47), unprocessed red meat (0·42), cheese (0·28), seafood (0·28), yoghurt (0·22), and processed meat (0·21). This was also true for urban compared to rural areas, with largest global differences (servings per week) for unprocessed red meat (0·47), milk (0·38), and eggs (0·20). Between 1990 and 2018, global intakes (servings per week) increased for unprocessed red meat (1·20), eggs (1·18), milk (0·63), processed meat (0·50), seafood (0·44), and cheese (0·14). INTERPRETATION: Our estimates of ASF consumption identify populations with both lower and higher than optimal intakes. These estimates can inform the targeting of intervention, surveillance, and policy priorities relevant to both human and planetary health. FUNDING: Bill & Melinda Gates Foundation and American Heart Association.