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Investing in nutrition sensitive sectors such as education can be an effective strategy for combatting malnutrition. In this paper we analyze the role that men's education plays in determining dietary diversity outcomes using primary data from 3600 households across four districts of India. Dietary diversity scores were calculated to reflect the quality of food intake, for households and women. Men's education level was considered as the primary driver of diet diversity. To establish a causal link between men's education and diet diversity, the education level of parents and siblings were used as instrumental variables. We find that men's education levels are associated with significantly higher diet diversity scores both for the household and for women. The role of men's education continues to be a significant determinant of diet quality after controlling for household and individual- level confounding factors including the education level of the woman. The results are consistent across different definitions of the diet diversity score and reference period. Methodologically we extend the evidence on the education–nutrition pathway from being associational to causal in nature. Results from this study point to the benefits of leveraging men's education as an effective pathway for improving nutritional outcomes within households. [ABSTRACT FROM AUTHOR]

Background Reducing food loss and waste (FLW) may narrow gaps between fruit and vegetable production and recommended intake. However, FLW estimates are inconsistent due to varying estimation methods. Objectives Using multiple estimation approaches, we examined the extent and determinants of FLW along tomato supply chains in South India, from farm to retail. We also explored tomato quality assessments. Methods We surveyed 75 farm households and 83 tomato traders in the Chittoor district, Andhra Pradesh, and 52 vegetable traders and 50 vegetable retailers in Hyderabad, Telangana, on harvest and market days. We calculated declared FLW values using participant-reported losses to estimate the preharvest quality FLW and quantitative FLW values at the farmer, vegetable-trader, and vegetable-retailer stages. We calculated the destination FLW based on counted crates diverted to loss destinations, using participant-reported destinations (animal feed, field discard), to estimate the postharvest FLW from farm to retail. We used pile sorting with farmers to explore on-farm quality assessments. Results The average preharvest quality FLW was 13.9% of harvested tomatoes. From farm to retail, the quantitative FLW was greatest at the postharvest, farm level. Among all harvests, the median postharvest, farm-level FLW was 0.0% (IQR, 0.0%–7.9%) using the destination FLW approach (tomatoes diverted to nonfood uses) and 2.3% (IQR, 0.0%–12.5%) using the declared FLW approach (P  < 0.05). Among harvests with a non-zero postharvest, farm-level FLW, the median FLW was 9.1% (IQR, 2.4%–16.7%) using the destination FLW approach (tomatoes diverted to nonfood uses) and 10.0% (IQR, 2.9%–16.7%) using the declared FLW approach. Harvesting during peak season was a determinant of postharvest, farm-level and preauction, market-level FLW values. Farmers prioritize color/ripeness attributes while harvesting and tomato size while grading. Conclusions Single-point estimates may obscure FLW patterns for perishable, indeterminate crops and depend on data collection and estimation methods. Reducing FLW of perishables requires the integration of quantitative and qualitative FLW estimation methods. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to understand the significant farm and market-level factors that incentivize the adoption and marketing of pulses influencing its supply response to changing demand. Design/methodology/approach: The authors first use a modified Nerlovian supply response model using secondary data to identify the major price and non-price factors influencing the supply of pigeon pea, black and green gram in the major pulses growing states in India. Second, using primary qualitative data the authors map the pulses value chain from farm to retail to identify the how proportional and fixed transaction costs (FCTs) influence market participation of pulses growers and limit the transmission of price and quality information. Findings: The supply response model shows some positive influence of price on area allocation for pigeon pea and black gram and some negative effects of yield and price increase of competing crops on pigeon pea acreage. However, for the most part, the area of Kharif pulses is inelastic to prices in the long run. Irrigation, rainfall and yields in the lag year are shown to have a significant influence on area allocation for pulses. The market study reveals that low yields, low landholding size and geographical disadvantages of high agro-climatic risk and poor connectivity hinder market access of pulses farmers relative to other crops. Market power in favor of buyers and poor price and quality information is a disadvantage to sellers, influencing their ability to participate in markets. Research limitations/implications: A quantitative study would be required to identify the magnitude of farm and market-level transaction costs. Originality/value: This study helps to understand the supply response of pulses and gives suggestions to direct policy to rectify this. [ABSTRACT FROM AUTHOR]

Do firstborn children have a height advantage? Empirical findings have found mostly that, yes, second or higher-order children often lag behind firstborns in height outcomes, especially in developing countries. However, empirical investigations of birth-order effects on child height overlook the potential impact that birth spacing can have. We provide an explanation for the negative birth-order effect on stunting outcomes for young Indian children and show it is driven by short preceding-birth spacing. We find that firstborn children are taller than children of higher birth order: The height-for-age gap for third (or higher)-order children is twice the gap for children second in birth order. However, this pattern is observed when spacing between later-born children and their immediate elder siblings is fewer than 3 y. Interestingly, the firstborn height advantage disappears when later-born children are born at least 3 y after their elder siblings. Thus, our findings indicate that spacing length between children explains differences in height, over birth order. Although India's family planning policy has resulted in a substantial reduction in total fertility, its achievement in spacing subsequent births has been less impressive. In showing that spacing can alleviate or aggravate birth-order effects on attained height, our study fills an evidence gap: Reducing fertility alone may not be sufficient in overcoming negative birth-order effects. To reduce the detrimental effects of birth order on child stunting, policy responses--and therefore research priorities--require a stronger focus on increasing the time period between births. [ABSTRACT FROM AUTHOR]

The present study sought to identify household risk factors associated with aflatoxin contamination within and across diverse Indian food systems and to evaluate their utility in risk modeling. Samples (n = 595) of cereals, pulses, and oil seeds were collected from 160 households across four diverse districts of India and analyzed for aflatoxin B1 using enzyme-linked immunosorbent assay (ELISA). Demographic information, food and cropping systems, food management behaviors, and storage environments were profiled for each household. An aflatoxin detection risk index was developed based on household-level features and validated using a repeated 5-fold cross-validation approach. Across districts, between 30–80% of households yielded at least one contaminated sample. Aflatoxin B1 detection rates and mean contamination levels were highest in groundnut and maize, respectively, and lower in other crops. Landholding had a positive univariate effect on household aflatoxin detection, while storage conditions, product source, and the number of protective behaviors used by households did not show significant effects. Presence of groundnut, post-harvest grain washing, use of sack-based storage systems, and cultivation status (farming or non-farming) were identified as the most contributive variables in stepwise logistic regression and were used to generate a household-level risk index. The index had moderate classification accuracy (68% sensitivity and 62% specificity) and significantly correlated with village-wise aflatoxin detection rates. Spatial analysis revealed utility of the index for identifying at-risk localities and households. This study identified several key features associated with aflatoxin contamination in Indian food systems and demonstrated that household characteristics are substantially predictive of aflatoxin risk. [ABSTRACT FROM AUTHOR]

Background: It is widely considered that women have less diverse diets than other household members. However, it has been challenging to establish this empirically since women's diet diversity is measured differently from that of other household members. Objective: In this article, we compare women's dietary diversity with that of their respective households and thereby generate a measure of "dietary gap." Methods: We measure women's "dietary gap" by using the difference of homogenized household and woman dietary scores (using the same scales). This is done using primary data on 3600 households from 4 districts in India. Additionally, we show the robustness of our results to variations in scale and recall periods used to construct the diet diversity scores. Results: Mean difference tests indicate that women consistently consume 0.1 to 0.5 fewer food groups relative to other household members, with the results being statistically significant at the 1% level. The food groups driving this dietary gap are nonstaples like Vitamin A-rich fruits and vegetables, meat/fish/poultry, and dairy. Conclusions: Results point toward the discrimination faced by women in the variety of the food consumed, the importance of considering comparability in creating indices of diet diversity, and the need to collect more detailed information on diets. To our knowledge, this is one of the first studies to examine dietary discrimination faced by women using common scales. [ABSTRACT FROM AUTHOR]

Background: Recent literature, largely from Africa, shows mixed effects of own-production on diet diversity. However, the role of own-production, relative to markets, in influencing food consumption becomes more pronounced as market integration increases.Objective: This paper investigates the relative importance of two factors - production diversity and household market integration - for the intake of a nutritious diet by women and households in rural India.Methods: Data analysis is based on primary data from an extensive agriculture-nutrition survey of 3600 Indian households that was collected in 2017. Dietary diversity scores are constructed for women and households is based on 24-hour and 7-day recall periods. Household market integration is measured as monthly household expenditure on key non-staple food groups. We measure production diversity in two ways - field-level and on-farm production diversity - in order to account for the cereal centric rice-wheat cropping system found in our study locations. The analysis is based on Ordinary Least Squares regressions where we control for a variety of village, household, and individual level covariates that affect food consumption, and village fixed effects. Robustness checks are done by way of using a Poisson regression specifications and 7-day recall period.Results: Conventional measures of field-level production diversity, like the number of crops or food groups grown, have no significant association with diet diversity. In contrast, it is on-farm production diversity (the field-level cultivation of pulses and on-farm livestock management, and kitchen gardens in the longer run) that is significantly associated with improved dietary diversity scores, thus suggesting the importance of non-staples in improving both individual and household dietary diversity. Furthermore, market purchases of non-staples like pulses and dairy products are associated with a significantly higher dietary diversity. Other significant determinants of dietary diversity include women's literacy and awareness of nutrition. These results mostly remain robust to changes in the recall period of the diet diversity measure and the nature of the empirical specification.Conclusions: This study contributes to the scarce empirical evidence related to diets in India. Additionally, our results indicate some key intervention areas - promoting livestock rearing, strengthening households' market integration (for purchase of non-staples) and increasing women's awareness about nutrition. These are more impactful than raising production diversity. [ABSTRACT FROM AUTHOR]

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Whether India's economic reforms have led to increased income growth and poverty reduction or if rising income inequalities have prevented the poor from benefiting from growth has been a long running and contentious debate among the intellectual and political classes in the country. The growth elasticities of poverty reduction calculated in the paper could presumably be used to estimate the economic growth rates needed to reach specific poverty reduction targets. Using data on economic growth rates over the past ten years and the poverty estimates in the paper, it could be possible to assess the direction and pace of poverty reduction since the last NSS round. [Extracted from the article]

• Women in agriculture allocate significant time to agriculture and household activities. • Rising time demands during peak season agriculture may affect women's nutrition. • Women's time trade-offs negatively affect consumption of various nutrients. • These associations vary by cropping pattern & land ownership. • Policies must recognize women's time constraints to improve their nutrition. Women in agriculture are involved in agricultural activities and are solely responsible for household-level unpaid work. They face severe time trade-offs between agricultural and household activities across crop seasons. Recent literature suggests that these time trade-offs may negatively impact their nutrition. However, there is no quantitative evidence exploring this relationship within an agricultural context. This paper addresses this research gap by analyzing the relationship between women's time trade-offs and their nutritional outcomes. Using a unique ten-month primary panel data of 960 women from India, our findings show that women are severely time-constrained, as they contribute significantly to agricultural as well as domestic work. Our results show that during peak seasons relative to lean seasons, women's time trade-offs (rising opportunity cost of time) are negatively associated with the intake of calories, proteins, iron,zinc and Vitamin A. We show that this negative relationship is manifested severely among women who are landless and cultivate paddy alone (food crop) or paddy and cotton (mixed crop). This study highlights the gendered role of agricultural activities in rural households and the need to recognize time as a scarce resource when implementing policies and programs involving women in agriculture. We contribute to the literature of agriculture-nutrition linkages by examining the the time use pathway in detail. Besides providing novel metrics, we discuss several policy implications to reduce women's time constraints and enhance their nutrition. [ABSTRACT FROM AUTHOR]

• Non-dietary pathways can potentially address micronutrient outcomes for women. • Women's iron status improves with higher empowerment levels in agriculture. • Women's minimum dietary diversity score is unable to reflect iron status. • Detailed data on blood tests fills the gap for reliable iron estimates in India. In this paper we study the relationship between women's empowerment in agriculture and their iron deficiency status in Maharashtra, India. This is the first time the Women's Empowerment in Agriculture Index (WEAI) has been used in association with explicit measurement of medical biomarkers for women's iron deficiency status. Using primary data for 960 women we find that the log odds of a poor iron status in women decline as women's empowerment levels in agriculture improve. Further, this decline is seen in the presence of multiple dietary diversity measures (dietary diversity score, share of rice and wheat in the diet, total iron intake and iron intake from iron-rich food groups – all for 24-h and 30-day recalls) suggesting that in addition to dietary pathways women's empowerment can play a role in addressing micronutrient deficiencies like those of iron in a vulnerable sub-group of the population. It also reinforces the need to move away from the 'staple grain fundamentalism' that has characterized agricultural policy in India, towards more nutrition-sensitive food systems. [ABSTRACT FROM AUTHOR]

Mycotoxins and other food safety and preservation challenges are prevalent in smallholder food systems, and communities often lack the knowledge and capacity required to effectively diagnose and address these concerns. Participatory research can facilitate innovation in resource-poor settings by fostering collective identity and leveraging endogenous systems of change, but there are limitations to the scalability and impact of this approach across contexts. Embedding participatory research within a farmer research network (FRN) has the potential to enhance the effectiveness of participatory research by enhancing the flow of knowledge between local and global innovation systems. This study proposes a framework for FRN-mediated participatory food safety research and reports on key findings from an application of this approach in six villages in Unnao District, Uttar Pradesh, India. A cohort of 184 households was organized into a FRN and engaged in a series of participatory research activities. Collective identity was developed within the FRN by reflecting on shared goals and establishing leadership. Participatory context characterization combined with multiple factor analysis (MFA) enabled formation of interest-based affinity groups, which explored potential solutions to a range of local problems. Affinity group deliberations led to the implementation of a FRN-wide hermetic grain storage intervention. Uptake of the technology was evaluated by monitoring continued usage, willingness-to-pay, price elasticity of demand, and retail sales across localities. Efficacy of the FRN approach for participatory food safety research was assessed by monitoring participation, motives, and experiential outcomes among members. Context characterization revealed distinct needs profiles influenced by the extent of home versus non-home time allocation and economic orientation. Household trials of hermetic sacks were effective in 99% (128/129) of participating households, with 83% continuing use in subsequent seasons. Willingness-to-pay analysis demonstrated substantial demand for hermetic sacks but high price elasticity across hypothetical price points. Despite demonstrable demand and positive reception, actual sales were low (<10 units) due to perceived high cost of the technology. Participation and experiential outcomes were generally positive, but the FRN was not successful in maintaining adequate, representative gender balance in its programming. This study documents a novel application of the FRN approach to participatory food safety research and constitutes substantial evidence for the potential for FRNs to catalyze local-global knowledge feedback loops. The model outlined is widely adaptable and could be used across contexts in India and elsewhere. [Display omitted] • The farmer research network (FRN) approach was applied tofood safety in village communities • FRN activities enabled capacity building and collective identity formulation • The FRN exhibited potential for mediating local-global knowledge flows • Farmers' food safety decision-making is complex and multi-dimensional • FRN participation led to positive experiential outcomes among members [ABSTRACT FROM AUTHOR]

Childhood stunting remains a public health concern in India. In Karnataka, the districts vary substantially in stunting prevalence. Using the NFHS-4 and AidData GEO datasets, we tested the hypothesis that 'wet' and 'dry' districts in Karnataka show different contributions to stunting. We found that for 30 environmental and health factors, Bengaluru appears to be distinct from the other districts. Using a mixed linear model approach, we found that for the entire state, and in both wet and dry districts, preceding birth interval, altitude-adjusted haemoglobin level and child age showed significant correlations with height for age (HFA). The wet districts showed an additional association between maternal age and child HFA. However, interaction effects also differed among the three conditions. Our results suggest that subtle variations should not be ignored when considering factors impacting child health outcomes. [ABSTRACT FROM AUTHOR]

Childhood stunting remains a prominent metric in the health and development of modern India. In Karnataka, India, districts vary substantially in stunting prevalence. Here we take a close look at the nature of childhood stunting in the state: its epidemiology, genetics, biology, nutritional basis, environmental contribution, policy and field-based understanding. We explore how these factors interact with one another, and suggest ways to target modifiable risk factors for stunting (e.g. nutrition, exposure to infectious diseases, sanitation), which may influence the impact of non-modifiable risk factors (e.g. congenital factors, climate). We suggest that programmes designed to reduce stunting prevalence should accommodate these complex interactions, which could translate to more substantial impact on child health outcomes. [ABSTRACT FROM AUTHOR]

• We show that the rise in rural obesity in India is closely associated with urbanization of its rural spaces. • These risks have increased disproportionately among lower socio-economic classes. • Those living near towns with a population of 50,000 & those living in more economically developed states are at greater risk. • Greater diet diversity alleviates the urban effect of the rural obesity pandemic. While obesity across rural India has doubled in the last decade, research explaining such an unprecedented change is sparse. This paper shows that the rise in the incidence of rural obesity is associated with the process of structural transformation, especially within rural spaces. As the distance to nearby towns from the villages has reduced, urban proximity not only leads to improved livelihoods but also a change in dietary practices and access to processed food. Combining the rural sample of India's latest National Family Health Survey (2015–16) with the estimates for town distance from the village clusters, we show that an additional kilometer of reduction in rural–urban distance increases the risk of obesity among women by 0.06 percent. Our estimates imply that for every kilometer of reduction in rural–urban proximity 3000 rural women become at-risk for obesity. Heterogeneity analysis shows that this burden is higher in towns with a population of over 50,000. We also find that the risk has increased disproportionately among the lower socio-economic classes. Similarly, states at a more mature stage of structural transformation face higher risk of obesity. Finally, we find that higher dietary diversity reduces the influence of urban growth on rural obesity. Our findings underscore the looming dual burden of malnutrition among developing countries and suggest that nutrition policies that promote diet diversity could be a panacea. [ABSTRACT FROM AUTHOR]

Abstract Soil health (SH) of managed lands in India is affected by anthropogenic activities such as nutrient mining, excessive tillage, and monocropping, which reduce the productive capacity of soils. A comprehensive SH characterization was conducted in 27 catchments in six districts of Jharkhand, India. Each was stratified into four landscape positions: (i) uncultivated upland in tree vegetation, (ii) cultivated upland in garden or orchard use, and (iii) midland and (iv) lowland areas in rice-fallow fields, yielding 113 soil samples from 0 to 15 cm and 20 from 30 to 40 cm depths. Soil textural separates as well as 15 dynamic physical, biological, and chemical properties were assessed using the Comprehensive Assessment of Soil Health framework. Nutrient analyses indicate low to very low P and K values, but high micronutrient levels. A district level ANOVA shows effects of inherent soil factors on the indicators. The influence of tillage, nutrient extraction as well as landscape hydrology on soil health indicators was apparent, notably showing uncultivated soils with higher overall SH. Puddle tillage affected the surface and subsurface soil, the latter showing reduced water holding capacity and less favorable biological indicators. Multivariate analyses showed directional separation of biological and chemical indicators in the first two principal components. A Best Subsets Regression analysis revealed organic matter, soil respiration and active carbon as the most predictive in determining overall SH scores (R2 adj = 0.87). In conclusion, a comprehensive soil health assessment using a spatial framework in Jharkhand, India identified multiple SH constraints related to farmer management, associated organic matter dynamics, and natural factors. Highlights • Soils in Jharkhand, India generally show physical, biological and chemical constraints related to crop production • P and K are low due to negative nutrient balances, although minor nutrients are generally sufficient • Cultivation practices, organic matter additions, and natural processes affect organic matter dynamics and soil health [ABSTRACT FROM AUTHOR]

The spatiotemporal trends in aflatoxin B1 (AFB1), fumonisin B1 (FB1), and deoxynivalenol (DON) accumulation were analyzed in a range of food commodities (maize, groundnut, pearl millet, rice, and wheat) in village settings in Unnao, Uttar Pradesh, India. Samples (n = 1549) were collected across six communities and six time points spanning a calendar year and were analyzed for mycotoxins using enzyme-linked immunosorbent assays. AFB1 and FB1 were common across surveyed villages, with moderate to high detection rates (45–75%) observed across commodities. AFB1 levels in maize and groundnuts and FB1 levels in maize and pearl millet frequently exceeded regulatory threshold levels of 15 μg/kg (AFB1) and 2 μg/g (FB1). DON was analyzed in wheat, with 3% of samples yielding detectable levels and none exceeding 1 μg/g. In rice, AFB1 levels were highest in the bran and husk and lower in the kernel. Commodity type significantly influenced AFB1 detection status, while commodity type, season, and visual quality influenced samples' legal status. Storage characteristics and household socioeconomic status indicators did not have significant effects on contamination. No significant effects of any variables on FB1 detection or legal status were observed. Data on mycotoxin contamination, combined with data on local dietary intake, were used to estimate spatiotemporal mycotoxin exposure profiles. Estimated seasonal per capita exposure levels for AFB1 (5.4–39.3 ng/kg body weight/day) and FB1 (~0–2.4 μg/kg body weight/day) exceeded provisional maximum tolerable daily intake levels (1 ng/kg body weight/day for AFB1 and 2 μg/kg body weight/day for FB1) in some seasons and locations. This study demonstrates substantial dietary mycotoxin exposure risk in Unnao food systems and serves as an evidentiary foundation for participatory food safety intervention in the region. • Aflatoxin B1 and fumonisin B1 are prevalent in the food systems, while deoxynivalenol is largely absent. • Mycotoxin contamination in Indian villages has distinct spatial and seasonal trends. • Food system composition and cropping calendars influence the distribution of mycotoxins. • Trends in contamination are associated with dietary intakes at levels that warrant public health intervention. [ABSTRACT FROM AUTHOR]

India, which has long suffered from undernutrition, has seen a rapid rise in overweight incidence in the last decade and a half. These changes are characterized by significant within-country differences in overweight incidence that vary by gender and regional development levels. In this paper, we provide an integrative framework, linking the income-gradient hypothesis of obesity with biological, obesogenic, and environmental factors to provide an explanation on the emergence of within-country differences in overweight patterns. We utilize measured body mass index (BMI), along with individual- and household-level data of over 800,000 men and women surveyed in the National Family Health Surveys of 2005-06 and 2015-16 to identify correlates of within-country differences in overweight incidence. A decomposition analysis reveals that among women, in addition to increasing access to obesogenic technologies, biological factors are associated with overweight incidence. Among men, obesogenic factors related to technology use and health behaviors are associated with the rise in overweight incidence, but biological factors are not. At lower levels of regional development, overweight incidence is associated with greater access to obesogenic technology such as motorized transport, which reduces physical activity among men at higher rates than women. At higher levels of economic development, obesogenic behaviors, such as watching more television and reducing smoking, are associated with overweight incidence. Our results corroborate the call by public health experts for group-specific policies to stem the rise of overweight incidence in developing countries., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)

In this paper, we establish a statistically important relationship between household agricultural income and women's BMI using a five-year panel dataset of rural households drawn from 18 villages across five Indian states. Using within household variation over time, we estimate both the extent to which short-term changes in agricultural income are associated with short-term changes in BMI, and the effect of agricultural income growth on BMI growth over a longer term. Over the longer term, and for the group of households that regularly farm, we find a 10 percentage point agricultural income growth to be associated with a 0.10 percentage point growth in BMI. Consistent with the literature, this effect is economically modest, but important considering that we do not find a corresponding effect for growth in non-agricultural income. We show that both the own-production and market purchase of food are associated with nutritional improvements. While women's BMI is associated with an increase in the consumption of own-produced cereals, the market plays an important role in facilitating access to more nutritious foods like pulses. Lastly, we also find that effects of agricultural income are driven by younger women, in the age-group 15-25 years, who face a particularly strong nutritional disadvantage in India., Competing Interests: The authors have declared that no competing interests exist.