Child dietary quality in rural Nepal: Effectiveness of a community-level development intervention

Nutrition-sensitive agricultural interventions have the potential to improve child dietary quality in rural households, as evidenced by a growing body of work which concurrently measures agricultural and nutrition indicators. Our objective was to investigate whether children in rural farming communities of Nepal participating in a community-level, nutrition-sensitive development intervention had improved dietary quality compared with children living in non-participating matched rural communities. Six rural communities of Nepal where livelihoods were predominantly agricultural were selected to participate in the phased implementation of a community-level development intervention by Heifer International. Households and children in each community were surveyed at baseline, and follow-up surveys were implemented every six months for twenty-four months. Detailed data on food consumption for children older than 6 months of age were collected using a 24 h recall for 17 foods and food groups; parents responded for children. A difference-in-differences model with household fixed-effects and an analysis of covariance model were used to analyze the resulting panel data. Results indicated that the impacts of the intervention varied by agro-ecological region and by season. In the Hills region, which is poorer on average and more conducive to livestock production, children who had received the intervention for two years were 2.2 times as likely to have consumed food from an additional food group, 1.27 times as likely to have achieved minimum dietary diversity and 1.38 times as likely to have consumed animal source foods as children who received the intervention for only one year. In the Terai region, which is more conducive to crop production, there was no significant change in dietary quality attributable to the intervention. These results provide evidence that particularly vulnerable families can take advantage of community-level development activities. Given that the effects of community-level development activities were disparate across communities within the same country, we conclude that tailoring development activities for particular locations is necessary for success.     

First of the month effect: Does it apply across food retail channels?

In this study we use detailed daily scanner data on household food purchases to examine monthly food expenditure patterns across food retail channels. We compare food expenditure patterns in high and low-income households comparing those where Supplementary Nutrition Assistance (SNAP) is received in the first 10 days of the month versus households which receive SNAP over the first 15 days of the month. We find that food expenditure patterns vary systematically across the month within different retail channels by income and SNAP payment schedules. Low-income households in early SNAP distribution areas decrease their grocery and mass/club/superstore expenditures at the end of the calendar month and supplement this decrease with increased food expenditures in convenience stores and food away from home. Households in staggered SNAP payment areas show far fewer systematic patterns given the more distributed payment system.     

Indigenous Shawi communities and national food security support: Right direction,but not enough

Food insecurity is a major challenge facing Peru’s Indigenous Shawi communities, who receive food support through national level programs. There is limited research, however, on how national food and social programming support is perceived, received and used among Indigenous communities. We address this research gap by characterizing the preferred diet and coping mechanisms among Shawi Indigenous households, and investigating community perspectives on the national food program and national social supports. We used a mixed methods approach, including a quantitative survey among eleven Shawi communities in the Peruvian Amazon (n = 177 households), and semi-structured interviews with key informants (n = 24). We found that national food programs in Peru rarely provide foods that are desired and preferred among the Shawi, particularly familiar and locally-sourced protein sources such as bushmeat and fish. Food and social programming requirements do not integrate consideration of the remoteness of many vulnerable households, and are considered culturally or linguistically inaccessible to many families. In some cases, foods supplied by national programs are not consumed as they are perceived as unfamiliar. Key opportunities to improve food and social programing include: monitoring and revising eligibility requirements for remote and highly vulnerable households; increasing provision of locally-preferred protein food and familiar food types; avoiding use of written Spanish as a sole source of information to support programming; extending food provision outside of school months; developing contingency plans during education sector strikes; considering hiring of staff with working knowledge of local languages for community distributions; using visual or oral communication rather than written communication to increase accessibility of programs; increasing knowledge on the use and nutritional value of external food; and considering exemptions to school and health eligibility requirements during the rainy season and during sector strikes. Nationally-developed programming that does not consider Indigenous and cultural contexts risks inefficiency, limited improvement of health outcomes, and the potential to increase inequities in Indigenous health.     

Farm production diversity is associated with greater household dietary diversity in Malawi: Findings from nationally representative data

Farm production diversity has the potential to influence the diversity of household diets, an important nutrition outcome associated with the nutrient adequacy of diets and the nutritional status of individuals. Yet, little empirical research has assessed the relationship between farm diversity and diet diversity or the plausible causal mechanisms that may operate between these two constructs. This research examines cross-sectional data from the Malawi Third Integrated Household Survey (IHS3), a nationally representative sample of farming households in Malawi, implemented from March 2010–March 2011 as part of the World Bank Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). These data were used to determine the relationship between farm production diversity and household dietary diversity, and to identify determinants of this relationship. Two indicators of dietary diversity, a modified Household Dietary Diversity Score (HDDS), and the Food Consumption Score (FCS), were calculated along with three indicators of farm production diversity including the Simpson’s Index, a metric accounting for both species richness and evenness. In multiple regression analyses, adjusting standard errors for the complex survey design of the IHS3 and controlling for the effects of several covariates on household dietary diversity, farm production diversity was consistently positively associated with dietary diversity (P < 0.0001). The association of increased farm diversity as measured by a combined crop and livestock measure on dietary diversity was significantly greater in woman-headed households compared to those headed by men (HDDS: P = 0.008; FCS: P = 0.076). The positive association of farm diversity with dietary diversity was also greater in wealthier households (P < 0.05). Consumption of legumes, vegetables and fruits was especially strongly associated with greater farm diversity. More diverse production systems may contribute to more diverse household diets. However, this relationship is complex; it may be influenced by gender, wealth, control of household decisions, the relative market-orientation of a household’s agricultural production, and the specific nature of farm diversity.     

Filling a dietary data gap? Validation of the adult male equivalent method of estimating individual nutrient intakes from household-level data in Ethiopia and Bangladesh

Many researchers use data from Household Consumption and Expenditure Surveys (HCES) to estimate individual food and nutrient intake when individual dietary data are not available. They assume that food is allocated within households according to members’ proportional energy requirements relative to an adult male (called an adult male equivalent, or AME). This study sought to validate AME-based estimates of individual consumption of calories, protein, iron, and animal source protein (ASP) across 10 age-sex categories, using data from Bangladesh and Ethiopia containing both household and individual-level consumption data. The study also assessed the accuracy of adjusting for meal partakers and physical activity levels (PAL), and compared energy-weighted AMEs to nutrient-specific AME predictions.Energy AME-based predictions of nutrient intake were generally accurate within ten percentage points of individually reported intakes, but were less accurate for infants 6–23 months and children in Bangladesh than for other demographic groups. AME predictions were more accurate: (1) in Ethiopia than in Bangladesh, (2) for predicting intake of the three nutrients rather than ASP, (3) for estimating nutrient intake rather than adequacy, (4) using energy-weighted AMEs rather than nutrient specific weights, and (5) using moderate PAL for youth and adults rather than high PAL. Adjusting for meal partakers did not consistently improve the AME-based predictions. Energy based AME estimates from household data can produce a useful proxy of average intake for certain population subgroups, however individually measured dietary assessment remains the best approach to identify groups at risk of nutrient inadequacy.     

Impact of metal silos on households’ maize storage,storage losses and food security: An application of a propensity score matching

Maize is the most important food staple in Eastern and Southern Africa, with a highly seasonal production but relatively constant consumption over the year. Farmers have to store maize to bridge seasons, for food security and to protect against price fluctuations. However, the traditional storage methods do not protect grain well, resulting in large postharvest losses. Hermetically sealed metal silos kill storage pests by oxygen deprivation without pesticides. Popular in Central America, they are now being promoted in Africa, but their impact here has not yet been studied. This study used propensity score matching to evaluate the impact of metal silos on duration of maize storage, loss abatement, cost of storage, and household food security. Metal silo adopters (N = 116) were matched with non-adopting farmers from a representative sample of 1340 households covering the major maize-growing zones in Kenya. The major effect of the metal silos was an almost complete elimination of losses due to insect pests, saving farmers an average of 150–200 kg of grain, worth KSh9750 (US$130). Metal silo adopters also spent about KSh340 less on storage insecticides. Adopters were able to store their maize for 1.8–2.4 months longer, and to sell their surplus after five months at good prices, instead of having to sell right after the harvest. The period of inadequate food provision among adopters was reduced by more than one month. We conclude that metal silos are effective in reducing grain losses due to maize-storage insects, and that they have a large impact on the welfare and food security of farm households. The initial cost of metal silos is high (KSh20,000/1.8 ton) and therefore policies to increase access to credit, to reduce the cost of sheet metal, and to promote collective action can improve their uptake by smallholder farmers.     

European dietary patterns and their associated land use: Variation between and within countries

This paper determines the cropland use associated with the dietary patterns of 16 European countries and investigates sources of variation in land use between and within these countries. The analysis combines food availability data at the household level with country-specific land use data for food items. The household food availability data is obtained from a standardized and post-harmonized databank, developed in the Data Food Networking Project (DAFNE). The results show large differences between the land use of the 16 European countries, ranging from ±1500 m² (Ireland) to ±3000 m² (Malta) to supply an average person’s food demand. Major reasons for this divergence include disparities in total caloric food availability and in national yields. The composition of the diet is only a minor source of variation. Using food consumption data at the household level makes it also possible to look for sources of variation within countries. This paper investigates sources of variation within countries by examining the influence of education of the household head on land use associated with food consumption. The analysis shows that diets of people with only elementary education need on average 20% more land than diets of people with a higher education (2302 m² and 1948 m², respectively). The basis of this difference is the higher caloric availability for people with only an elementary education; the influence of differences in the composition of the diet is negligible. Variation in land use between countries is thus caused by the different agricultural productivities and caloric availabilities, and the major source of variation within countries is the caloric availability. The composition of the diet is only a minor source of variation, both between and within countries. The results implicate that highly educated people have a lower demand for land.     

Household history,SNAP participation,and food insecurity

Food security in an important public policy issue. In 2015, approximately 1 in 8 U.S. households experienced food insecurity at some point in the year. Low-income families are at higher risk for food insecurity than other families, and these families may also face higher levels of disruption (e.g., moves, loss of income, or individuals entering or leaving the household) than other families. I use data from the Survey of Income and Program Participation to explore the relationship between food insecurity, the household’s history during the previous year, and SNAP participation. The results indicate that a number of aspects of the household’s recent experience including negative income shocks, moves, and both increases and decreases in household size increase the probability of being food insecure while SNAP participation is estimated to reduce the probability of being food insecure.     

Government fertilizer subsidy and commercial sector fertilizer demand: Evidence from the Federal Market Stabilization Program (FMSP) in Nigeria

We examine how the previous fertilizer subsidy program in Nigeria (FMSP) affected the demand for commercial fertilizer. We apply an endogenous double hurdle model to a pseudo-panel and cross-section data of farm households. The methodology accounts for potential endogeneity of commercial fertilizer price with subsidy. Our specification is also appropriate where few farmers report the use of both subsidized and commercial fertilizer. We find that 100 kg of subsidized fertilizer supplied to a farm household reduced the probability of its participation into commercial fertilizer market by 10–21% points, while not affecting fertilizer use upon participation.     

Social media as a useful tool in food risk and benefit communication? A strategic orientation approach

Although considerable progress has been made in understanding the determinants of risk perception and in identifying the necessary components of effective food risk and benefit communication, this has not been matched with the development of efficient and appropriate communication tools. Little work has been done examining the implications of the explosion of new media and web technologies, which may offer potential for improving food risk and benefit communication. First, this study examines the views of stakeholders (n = 38) and experts (n = 33) in the food domain on the potential use of these emerging media for food risk/benefit communication. Based on in-depth interviews in six European countries (Belgium, Ireland, Italy, Latvia, Spain and The Netherlands), strengths, weaknesses, opportunities and threats (SWOT) of social media in food risk and benefit communication were identified. Second, a Strategic Orientation Round (SOR) was used to evaluate the relative importance of the SWOT components according to stakeholders (n = 10) and experts (n = 13). Results show that both stakeholders and experts confirm a future role of social media in food risk and benefit communication. Strengths as speed, accessibility and interaction make social media an interesting tool in crisis communication or issue awareness raising. Weaknesses as the lack of a filter, low trust, the risk of information overload and a communication preference for traditional media are acknowledged.     

Can household-based food consumption surveys be used to make inferences about nutrient intakes and inadequacies? A Bangladesh case study

Household Consumption and Expenditures Surveys (HCES) are increasingly being used to make inferences about individual food consumption, despite the fact that they collect food data at only the household level. Usually the analysis assumes that the household’s food is distributed among its members in direct proportion to each member’s share of the household’s total energy requirements; what is referred to as the adult male equivalent (AME) approach. Using the 2011–2012 Bangladesh Integrated Household Survey—which collected consumption data for all members of rural households using combined 24-hour recall (24HR) and food weighing methods—this study directly compared probability-based average estimates of intakes, intake gaps, and the prevalence of inadequacies as estimated by the 24HR and those calculated using the AME approach for energy and each of four micronutrients: vitamin A, iron, zinc, and calcium.At the population level, for iron, vitamin A, and calcium, more than 97% of all individuals had the same estimated prevalence of adequate or inadequate nutrient intakes using 24HR and AME-based estimates. In the case of energy and zinc, roughly 77 and 83% of the sample population had identical adequacy statuses, respectively. The magnitude of inadequacies (the nutrient gaps) differed by 8 percentage points for energy and less than 3 percentage points for the four micronutrients. Disaggregating intakes and inadequacies by age groups revealed that the vast majority of variance between the two methods was highly concentrated in the first few years of life. Children 3 years of age and younger constituted 7.5% of the population but had 13.1% of the inconsistencies in intake adequacy status. 54% of children 3 and under had at least one pair of inconsistent prevalence estimates. While there are important differences in the levels of estimated energy and micronutrient intakes using 24HR and the AME-based estimates for children 3 and under, the results are remarkably comparable for the rest of the population.     

Food environments in Malta: Associations with store size and area-level deprivation

Food environments are potential targets for interventions to reduce obesity prevalence, particularly in island settings that are typically dependent on food imports. This observational study aimed to characterise the availability, quality and price of foods and beverages in a nationally representative sample of grocery stores in Malta using the Nutrition Environment Measures Survey for Stores (NEMS-S) instrument, and to examine the association between area-level density of different types of food stores and the likelihood of children living in these areas being overweight or obese. Fieldwork was carried out between March and May 2014. There was a strong positive correlation between store size and NEMS-S score (p = <0.001), suggesting that smaller grocery stores generally offered a smaller range of products and fewer healthy food/beverage options than larger supermarkets. Across all stores, median prices of certain ‘healthier’ versions of foods were more expensive than their less healthy alternatives. A significant association between risk of childhood overweight, and density of confectionery stores in children’s locality of residence, was found (OR 1.19; 95% CI: 1.04, 1.37). These baseline findings highlight opportunities to improve the food environment in Malta to support more healthful eating, and may be of particular interest to public health practitioners in island settings.     

Got milk? The impact of Heifer International’s livestock donation programs in Rwanda on nutritional outcomes

International animal donation programs have become an increasingly popular way for people living in developed countries to transfer resources to families living in developing countries. We evaluate the impact of Heifer International’s dairy cow and meat goat donation programs in Rwanda. We find that the program substantially increases dairy and meat consumption among Rwandan households who were given a dairy cow or a meat goat, respectively. We also find marginally statistically significant increases in weight-for-height z-scores and weight-for-age z-scores of about 0.4 standard deviations among children aged 0–5 years in households that were recipients of meat goats, and increases in height-for-age z-scores of about 0.5 standard deviations among children in households that received dairy cows. Our results suggest that increasing livestock ownership in developing countries may significantly increase consumption of nutrient dense animal-source foods and improve nutrition outcomes.     

The effect of using consumption taxes on foods to promote climate friendly diets – The case of Denmark

Agriculture is responsible for 17–35% of global anthropogenic greenhouse gas emissions with livestock production contributing by approximately 18–22% of global emissions. Due to high monitoring costs and low technical potential for emission reductions, a tax on consumption may be a more efficient policy instrument to decrease emissions from agriculture than a tax based directly on emissions from production. In this study, we look at the effect of internalising the social costs of greenhouse gas emissions through a tax based on CO₂ equivalents for 23 different foods. Furthermore, we compare the loss in consumer surplus and the changed dietary composition for different taxation scenarios. In the most efficient scenario, we find a decrease in the carbon footprint from foods for an average household of 2.3–8.8% at a cost of 0.15–1.73 DKK per kg CO₂ equivalent whereas the most effective scenario led to a decrease in the carbon footprint of 10.4–19.4%, but at a cost of 3.53–6.90 DKK per kg CO₂ equivalent. The derived consequences for health show that scenarios where consumers are not compensated for the increase in taxation level lead to a decrease in the total daily amount of kJ consumed, whereas scenarios where the consumers are compensated lead to an increase. Most scenarios lead to a decrease in the consumption of saturated fat. Compensated scenarios leads to an increase in the consumption of added sugar, whereas uncompensated scenarios lead to almost no change or a decrease. Generally, the results show a low cost potential for using consumption taxes to promote climate friendly diets.     

Fundamental transformations of trust and its drivers: A multi-stage approach of business-to-business relationships

This research tests a multistage model of trust in business-to-business (B2B) relationships. The model contains three forms of trust, each with unique drivers and consequences for buyer–supplier relationships. An exploratory qualitative study (N = 38) and four quantitative studies (N_Total = 616) validate the distinct stages (N1 = 140, N2 = 144, N3 = 152) and provide an overall test of the model (N4 = 180), using structural equation modeling techniques. The results support the proposed modeling of the stages and highlight a positive effect of reputation on calculative trust. Conflict resolution, communication, and sympathy positively affect cognitive trust. However, shared values do not significantly drive affective trust. Interdependence also exists among the three trust forms, both directly and indirectly. That is, calculative trust does not affect investments in relationship or confidential communication, but cognitive trust influences these constructs indirectly, through the mediation of affective trust. Affective trust also leads directly to greater investments in relationship and generates additional confidential communication.     

Potential impacts of increasing average yields and reducing maize yield variability in Africa

This study evaluates the potential impacts of investing in Drought Tolerant Maize (DTM) in 13 countries of East, South and West Africa. The analysis utilizes geo-referenced production data at the regional and household levels and employs a model that estimates both the conventional mean yield gains and the additional benefits from yield stability gains of DTM varieties as well as impacts on poverty. The results indicate that by 2016, adoption of DTM can generate between US$ 362 million and US$ 590 million in cumulative benefits to both producers and consumers. Yield variance reductions stand to generate considerable benefits, especially in high drought risk areas. These benefits translate into poverty reductions in the range of 0.01–4.29% by 2016. Significant benefits are also found among different types of households living in drought risk areas of Kenya, Ethiopia and Nigeria.     

Targeting population nutrition through municipal health and food policy: Implications of New York City’s experiences in regulatory obesity prevention

Obesity remains a major public health challenge across OECD countries and policy-makers globally require successful policy precedents. This paper analyzes New York City’s innovative experiences in regulatory approaches to nutrition. We combined a systematic documentary review and key informant interviews (n = 9) with individuals directly involved in nutrition policy development and decision-making. Thematic analysis was guided by Kingdon’s three-streams-model and the International Obesity Task Force’s evidence-based decision-making framework. Our findings indicate that decisive mayoral leadership spearheaded initial agenda-change and built executive capacity to support evidence-driven policy. Policy-makers in the executive branch recognized the dearth of evidence for concrete policy interventions, and made contributing to the evidence base an explicit goal. Their approach preferred decision-making through executive action and rules passed by the Board of Health that successfully banned trans-fats from food outlets, set institutional food standards, introduced menu labeling requirements for chain restaurants, and improved access to healthy foods for disadvantaged populations. Although the Health Department collaborated with the legislature on legal and programmatic food access measures, there was limited engagement with elected representatives and the community on regulatory obesity prevention. Our analysis suggests that this hurt the administration’s ability to successfully communicate the public health messages motivating these contentious proposals; contributing to unexpected opposition from food access and minority advocates, and fueling charges of executive overreach. Overall, NYC presents a case of expert-driven policy change, underpinned by evidence-based environmental approaches. The city’s experience demonstrates that there is scope to redefine municipal responsibilities for public health and that incremental change and contentious public discussion can impact social norms around nutrition.     

Sequestering carbon in soils of agro-ecosystems

Soils of the world’s agroecosystems (croplands, grazing lands, rangelands) are depleted of their soil organic carbon (SOC) pool by 25–75% depending on climate, soil type, and historic management. The magnitude of loss may be 10 to 50 tons C/ha. Soils with severe depletion of their SOC pool have low agronomic yield and low use efficiency of added input. Conversion to a restorative land use and adoption of recommended management practices, can enhance the SOC pool, improve soil quality, increase agronomic productivity, advance global food security, enhance soil resilience to adapt to extreme climatic events, and mitigate climate change by off-setting fossil fuel emissions. The technical potential of carbon (C) sequestration in soils of the agroecosystems is 1.2–3.1 billion tons C/yr. Improvement in soil quality, by increase in the SOC pool of 1 ton C/ha/yr in the root zone, can increase annual food production in developing countries by 24–32 million tons of food grains and 6–10 million tons of roots and tubers. The strategy is to create positive soil C and nutrient budgets through adoption of no-till farming with mulch, use of cover crops, integrated nutrient management including biofertilizers, water conservation, and harvesting, and improving soil structure and tilth.     

A new look at residential electricity demand using household expenditure data

Many electricity demand estimates have been obtained based on the assumption that consumers optimize with respect to known marginal prices, but increasing empirical evidence suggests that consumers are more likely to respond to average prices. Under this assumption, this paper develops a new strategy based on Generalized Method of Moments to estimate household electricity demand. Our demand estimation approach uses publicly available expenditure data and utility-level consumption data from several major U.S. cities, complementing studies that use individual billing data which are richer yet often proprietary. We estimate the price elasticity near − 0.50, which is at the upper end (in magnitude) among the estimates from previous studies. This could have important implications for policy analysis such as those on climate policies that may affect electricity prices.