Associations between the neighbourhood food environment and food and drink purchasing in England during lockdown: A repeated cross-sectional analysis.

INTRODUCTION: Evidence for the effect of neighbourhood food environment (NFE) exposures on diet in the UK is mixed, potentially due to exposure misclassification. This study used the first national COVID-19 lockdown in England as an opportunity to isolate the independent effects of the NFE exposure on food and drink purchasing, and assessed whether these varied by region. METHODS: Transaction-level purchasing data for food and drink items for at-home (1,221 households) and out-of-home consumption (171 individuals) were available from the GB Kantar Fast Moving Consumer Goods Panel for London and the North of England. The study period included 23rd March to 10th May 2020 ('lockdown'), and the same period in 2019 for comparison. NFE exposures included food outlet density and proximity, and NFE composition within a 1 km network buffer around the home. Associations were estimated for both years separately, adjusted for individual and household characteristics, population density and area deprivation. Interaction terms between region and exposures were explored. RESULTS: There were no consistent patterns of association between NFE exposures and food and drink purchasing in either time period. In 2019, there was some evidence for a 1.4% decrease in energy purchased from ultra-processed foods for each additional 500 m in the distance to the nearest OOH outlet (IR 0.986, 95% CI 0.977 to 0.995, p = 0.020). In 2020, there was some evidence for a 1.8% reduction in total take-home energy for each additional chain supermarket per km2 in the neighbourhood (IR 0.982, 95% CI 0.969, 0.995, p = 0.045). Region-specific effects were observed in 2019 only. DISCUSSION: Findings suggest that the differences in exposure to the NFE may not explain differences in the patterns or healthiness of grocery purchasing. Observed pre-pandemic region-specific effects allude to the importance of geographical context when designing research and policy. Future research may assess associations for those who relied on their NFE during lockdown.

The economic impacts of social activism and corporate social responsibility on food fraud.

The study examines the relationship between the corporate social responsibility (CSR) investments of a food firm, an activist's incentive to target the firm to uncover and deter fraudulent behavior, and the firm's incentive to commit food fraud. Specifically, we develop a game theoretic model to analyze the strategic interaction between a food firm that decides whether to provide a credence food attribute and whether to misrepresent the quality of its product, and an activist who decides whether to monitor the firm and launch a campaign to uncover and remove false/misleading quality claims. We further examine the effect of CSR and the activist's presence on the level of quality the firm provides. We derive the conditions under which an activist will find it optimal to monitor the firm to uncover fraudulent quality claims and the firm will find it optimal to misrepresent its product quality. Analytical results show that the greater the firm's CSR investments, the less likely it is that the activist will find it optimal to monitor the firm, and the more likely it is that the firm will find it optimal to misrepresent its product quality. Results also show that the firm is more likely to misrepresent its product quality when its effectiveness in contesting the activist's campaign is relatively high, and more likely to actually provide a high-quality product when the cost of the credence attribute is relatively low.

Allocation of the household food budget among shopping basket items: How is it influenced by promotions?

Retailers have been using promotion as a differentiation strategy that influences consumers' expenditures and their shopping basket budgetary allocation. This study assessed the effect of retail promotions on total shopping basket expenditure and determined whether promotions provoke a reallocation of the shopping budget. The analysis was performed on a chain of supermarkets in Catalonia, Spain using a consumer scanner data set from Kantar Worldpanel for 2017. The methodological approach had two steps: prediction of the effect of promotion on household expenditures using an expenditure regression model and estimation of the promotion own- and cross-effect using the censored Exact Affine Stone Index. Promotion had a positive own-effect and mostly a negative asymmetric cross-effect, implying a small but significant budget reallocation.

Predicting the short and long term effects of food price inflation, armed conflicts, and climate variability on global acute malnutrition in Somalia.

BACKGROUND: Malnutrition poses a substantial challenge in Somalia, impacting approximately 1.8 million children. This critical issue is exacerbated by a multifaceted interplay of factors. Consequently, this study seeks to examine the long-term and short-term effects of armed conflicts, food price inflation, and climate variability on global acute malnutrition in Somalia. METHODS: The study utilized secondary data spanning from January 2015 to December 2022, sourced from relevant databases. Two distinct analytical approaches were employed to comprehensively investigate the dynamics of global acute malnutrition in Somalia. Firstly, dynamic autoregressive distributed lag (ARDL) simulations were applied, allowing for a nuanced understanding of the short and long-term effects of armed conflicts, food price inflation, and climate variability on malnutrition. Additionally, the study employed kernel-based regularized least squares, a sophisticated statistical technique, to further enhance the robustness of the findings. The analysis was conducted using STATA version 17. RESULTS: In the short run, armed conflicts and food price inflation exhibit positive associations with global acute malnutrition, particularly in conflict-prone areas and during inflationary periods. Moreover, climatic variables, specifically temperature and rainfall, demonstrate positive associations. It is important to note that temperature lacks a statistically significant relationship with global acute malnutrition in the short run. In the long run, armed conflicts and food price inflation maintain persistent impacts on global acute malnutrition, as confirmed by the dynamic ARDL simulations model. Furthermore, both temperature and rainfall continue to show positive associations with global acute malnutrition, but it is worth noting that temperature still exhibits a non-significant relationship. The results from kernel-based regularized least squares were consistent, further enhancing the robustness of the findings. CONCLUSIONS: Increased armed conflicts, food price inflation, temperature, and rainfall were associated with increased global acute malnutrition. Strategies such as stabilizing conflict-prone regions, diplomatic interventions, and peace-building initiatives are crucial, along with measures to control food price inflation. Implementing climate adaptation strategies is vital to counter temperature changes and fluctuating rainfall patterns, emphasizing the need for resilience-building. Policymakers and humanitarian organizations can leverage these insights to design targeted interventions, focusing on conflict resolution, food security, and climate resilience to enhance Somalia's overall nutritional well-being.

The relationship between the price and demand of alcohol, tobacco, unhealthy food, sugar-sweetened beverages, and gambling: an umbrella review of systematic reviews.

BACKGROUND: The WHO highlight alcohol, tobacco, unhealthy food, and sugar-sweetened beverage (SSB) taxes as one of the most effective policies for preventing and reducing the burden of non-communicable diseases. This umbrella review aimed to identify and summarise evidence from systematic reviews that report the relationship between price and demand or price and disease/death for alcohol, tobacco, unhealthy food, and SSBs. Given the recent recognition as gambling as a public health problem, we also included gambling. METHODS: The protocol for this umbrella review was pre-registered (PROSPERO CRD42023447429). Seven electronic databases were searched between 2000-2023. Eligible systematic reviews were those published in any country, including adults or children, and which quantitatively examined the relationship between alcohol, tobacco, gambling, unhealthy food, or SSB price/tax and demand (sales/consumption) or disease/death. Two researchers undertook screening, eligibility, data extraction, and risk of bias assessment using the ROBIS tool. RESULTS: We identified 50 reviews from 5,185 records, of which 31 reported on unhealthy food or SSBs, nine reported on tobacco, nine on alcohol, and one on multiple outcomes (alcohol, tobacco, unhealthy food, and SSBs). We did not identify any reviews on gambling. Higher prices were consistently associated with lower demand, notwithstanding variation in the size of effect across commodities or populations. Reductions in demand were large enough to be considered meaningful for policy. CONCLUSIONS: Increases in the price of alcohol, tobacco, unhealthy food, and SSBs are consistently associated with decreases in demand. Moreover, increasing taxes can be expected to increase tax revenue. There may be potential in joining up approaches to taxation across the harm-causing commodities.

Switches in food and beverage product purchases can reduce greenhouse gas emissions in Australia.

Switching between similar food and beverage products may reduce greenhouse gas emissions (GHGe). Here, using consumer data linked to 23,550 product-specific GHGe values, we estimated annual GHGe attributable to product purchases consumed at home in Australia and calculated reductions from specific switches. Potential changes to mean Health Star Rating, mean energy density and the proportion of ultraprocessed foods purchased were assessed. Approximately 31 million tonnes of GHGe were attributable to products consumed at home in 2019, the three highest contributors of GHGe being 'meat and meat products' (49%), 'dairy' (17%) and 'non-alcoholic beverages' (16%). Switching higher-emission products for 'very similar' lower-emission products could reduce total emissions by 26%. Switches to 'less similar' lower-emission products could lead to a 71% reduction. Switches had little impact on the average Health Star Rating, energy density of purchases and proportion of ultraprocessed foods purchased. Directing manufacturing and marketing towards lower-environmental-impact products and signposting such options to consumers are key.

Comparison of Sales From Vending Machines With 4 Different Food and Beverage Messages: A Randomized Trial.

Importance: Point-of-sale food messaging can encourage healthier purchases, but no studies have directly compared multiple interventions in the field. Objective: To examine which of 4 food and beverage messages would increase healthier vending machine purchases. Design, Setting, and Participants: This randomized trial assessed 13 months (February 1, 2019, to February 29, 2020) of vending sales data from 267 machines and 1065 customer purchase assessments from vending machines on government property in Philadelphia, Pennsylvania. Data analysis was performed from March 5, 2020, to November 8, 2022. Interventions: Study interventions were 4 food and beverage messaging systems: (1) beverage tax posters encouraging healthy choices because of the Philadelphia tax on sweetened drinks; (2) green labels for healthy products; (3) traffic light labels: green (healthy), yellow (moderately healthy), or red (unhealthy); or (4) physical activity equivalent labels (minutes of activity to metabolize product calories). Main Outcomes and Measures: Sales data were analyzed separately for beverages and snacks. The main outcomes analyzed at the transaction level were calories sold and the health status (using traffic light criteria) of each item sold. Additional outcomes were analyzed at the monthly machine level: total units sold, calories sold, and units of each health status sold. The customer purchase assessment outcome was calories purchased per vending trip. Results: Monthly sales data came from 150 beverage and 117 snack vending machines, whereas 1065 customers (558 [52%] male) contributed purchase assessment data. Traffic light labels led to a 30% decrease in the mean monthly number of unhealthy beverages sold (mean ratio [MR], 0.70; 95% CI, 0.55-0.88) compared with beverage tax posters. Physical activity labels led to a 34% (MR, 0.66; 95% CI, 0.51-0.87) reduction in the number of unhealthy beverages sold at the machine level and 35% (MR, 0.65; 95% CI, 0.50-0.86) reduction in mean calories sold. Traffic light labels also led to a 30-calorie reduction (b = -30.46; 95% CI, -49.36 to -11.56) per customer trip in the customer purchase analyses compared to physical activity labels. There were very few significant differences for snack machines. Conclusions and Relevance: In this 13-month randomized trial of 267 vending machines, the traffic light and physical activity labels encouraged healthier beverage purchases, but no change in snack sales, compared with a beverage tax poster. Corporations and governments should consider such labeling approaches to promote healthier beverage choices. Trial Registration: ClinicalTrials.gov Identifier: NCT06260176.

Food price trends during the COVID-19 pandemic in Brazil.

The present study aims to analyze the trends in food price in Brazil with emphasis on the period of the Covid-19 pandemic (from March 2020 to March 2022). Data from the Brazilian Household Budget Survey and the National System of Consumer Price Indexes were used as input to create a novel data set containing monthly prices (R$/Kg) for the foods and beverages most consumed in the country between January 2018 and March 2022. All food items were divided according to the Nova food classification system. We estimated the mean price of each food group for each year of study and the entire period. The monthly price of each group was plotted to analyze changes from January 2018 to March 2022. Fractional polynomial models were used to synthesize price changes up to 2025. Results of the present study showed that in Brazil unprocessed or minimally processed foods and processed culinary ingredients were more affordable than processed and ultra-processed foods. However, trend analyses suggested the reversal of the pricing pattern. The anticipated changes in the prices of minimally processed food relative to ultra-processed food, initially forecasted for Brazil, seem to reflect the impact of the Covid-19 pandemic on the global economy. These results are concerning as the increase in the price of healthy foods aggravates food and nutrition insecurity in Brazil. Additionally, this trend encourages the replacement of traditional meals for the consumption of unhealthy foods, increasing a health risk to the population.

Share of food group expenditure in Mexican households according to the gender of the head of household and size of the locality.

OBJECTIVE: To evaluate differences in the percentage of expenditure on food groups in Mexican households according to the gender of the household head and the size of the locality. DESIGN: Analysis of secondary data from the National Household Income and Expenditure Survey (ENIGH) 2018. We estimated the percentage of expenditure on fifteen food groups according to the gender of the head of household and locality size and evaluated the differences using a two-part model approach. SETTING: Mexico, 2018. PARTICIPANTS: A nationally representative sample of 74 647 Mexican households. RESULTS: Female-headed households allocated a lower share of expenditure to the purchase of sweetened beverages and alcoholic beverages and higher percentages to milk and dairy, fruits and water. In comparison with metropolitan households, households in rural and urban localities spent more on cereals and tubers, sugar and honey, oil and fat and less on food away from home. CONCLUSIONS: Households allocate different percentages of expenditure to diverse food groups according to the gender of the head of the household and the size of the locality where they are located. Future research should focus on understanding the economic and social disparities related to differences in food expenditure, including the gender perspective.

Monitoring Food Affordability: Reliability and Validity of an Online Nutritious Food Basket.

Purpose: This study aimed to assess the reliability and validity of an online approach to monitoring food affordability in Ontario using the updated Ontario Nutritious Food Basket (ONFB).Methods: The ONFB was priced online in 12 large multi-chain grocery stores to test intra-/inter-rater reliability using percent agreement and intra-class correlations (ICCs). Then, the ONFB was priced in-store and online in 28 stores to estimate food price differences using paired t-tests and Pearson's correlation for all (n =1708) and matched items (same product/brand and purchase unit) (n = 1134).Results: Intra-/inter-rater agreement was high (95.4%/81.6%; ICC = 0.972, F = 69.9, p < 0.001). On average, in-store prices were less than $0.02 lower than online prices. There were no significant differences between mean in-store and online prices for all items (t = 0.504 p = 0.614). The mean price was almost perfectly correlated between in-store and online (fully matched: R = 0.993 p < 0.001; all items: R = 0.967 p < 0.001). Online monthly ONFB estimates for a family of four were strongly correlated (R = 0.937 p < 0.001) with estimates calculated using in-store data.Conclusions: Online pricing is a reliable and valid approach to food costing in Ontario that contributes to modernizing the monitoring of food affordability in Canada and abroad.

Development of a survey tool to assess the environmental determinants of health-enabling food retail practice in Aboriginal and Torres Strait Islander communities of remote Australia.

BACKGROUND: Environmental factors can impact the ability of food retail businesses to implement best practice health-enabling food retail. METHODS: We co-designed a short-item survey on factors influencing food retail health-enabling practice in a remote Australian setting. Publicly available submissions to an Australian Parliamentary Inquiry into food pricing and food security in remote Indigenous communities were coded using an existing remote community food systems assessment tool and thematically analysed. Themes informed survey questions that were then prioritised, refined and pre-tested with expert stakeholder input. RESULTS: One-hundred and eleven submissions were coded, and 100 themes identified. Supply chain related data produced the most themes (n = 25). The resulting 26-item survey comprised questions to assess the perceived impact of environmental factors on a store's health-enabling practice (n = 20) and frequency of occurrence (n = 6). CONCLUSIONS: The application of this evidence-informed, co-designed survey will provide a first-time cross-sectional analysis and the potential for ongoing longitudinal data and advocacy on how environmental factors affect the operations of remote stores.

The development of a method for the global health community to assess the proportion of food and beverage companies' sales that are derived from unhealthy foods.

CONTEXT: Corporate engagement with food and beverage companies who produce food associated with health harms is a divisive topic in the global nutrition community, with high-profile cases of conflict of interest increasingly coming under scrutiny. There is a need for an agreed method to support health organizations in deciding whether and how to engage with large food and beverage manufacturers. AIM: The aim of this study was to develop a method to quantify the proportion of sales from food and beverage companies that are derived from unhealthy foods to support organizations in determining which companies might be considered high-risk for engagement. METHODS: The 2015 WHO Euro nutrient profile model was applied to 35,550 products from 1294 brands manufactured by the top 20 global food and beverage companies from seven countries (Australia, Brazil, China, India, South Africa, UK and USA). For the purpose of this study, products that met the WHO Euro criteria were classified as "healthier" and those that failed were classified as "unhealthy". Products were grouped by brand and weighted by the brand's value sales for 2020. The primary outcome was the proportion of each company's sales that were classified as unhealthy and healthier by company and category. RESULTS: Overall, 89% of the top 20 companies' brand sales were classified as unhealthy. For every USD$10 spent on the top 20 companies' brands, only $1.10 was spent on products considered healthier. All companies saw the majority of their sales come from unhealthy foods, including soft drinks, confectionery and snacks. None of Red Bull or Ferrero's sales were classified as healthier and less than 5% of total sales were healthier for Mondelez, Mars, and PepsiCo. Some companies had higher proportions of sales deriving from healthier products, including Grupo Bimbo (48%), Danone (34%) and Conagra (32%), although the majority of their sales were still derived from unhealthy foods. DISCUSSION: The results presented in this study highlight the reliance the leading food and beverage companies have on sales of unhealthy products that are contributing to diet-related disease globally. The method and steps we have laid out here could be used by organizations in the global health community to identify companies that have conflicts of interest when it comes to engaging with governments, international organizations and public health bodies on issues of policy and regulation.

The Navajo Nation Healthy Diné Nation Act: Community Support of a 2% Tax on Unhealthy Foods.

CONTEXT: The Healthy Diné Nation Act (HDNA) of 2014 included a 2% tax on foods of little-to-no-nutritious value ("junk foods") on the Navajo Nation. The law was the first ever in the United States and any Indigenous nation worldwide with a population at a high risk for common nutrition-related conditions. To date, research on community support for food tax legislation among Indigenous nations is entirely lacking. OBJECTIVE: To assess the extent of support for the HDNA and factors associated with support including sociodemographic variables, knowledge of the HDNA, nutrition intake, and pricing preferences. DESIGN: Cross-sectional survey. SETTING: The Navajo Nation. PARTICIPANTS: A total of 234 Navajo Nation community members across 21 communities. OUTCOME MEASURES: The percentage of participants who were supportive of the HDNA. RESULTS: Participants were 97% Navajo, on average middle-aged, 67% reported an income below $25 000 annually, and 69.7% were female. Half of the respondents said they "support" (37.4%) or "strongly support" (13.0%) the tax, while another 35% of people said they were neutral or somewhat supportive; 15% did not support the tax. Participants with higher income ( P = .025) and education ( P = .026) and understanding of the legislation ( P < .001 for "very well" vs "not at all") had increased odds of greater support, as did people who believed that the HDNA would make Navajo people healthier (vs not, P < .001). Age, gender, language, and reported nutrition intake (healthy or unhealthy) were not associated with HDNA support, but participants willing to pay 5% or 12%-15% higher prices for fast food and soda had increased odds of greater support ( P values range from .023 to <.001). CONCLUSIONS: The majority of Navajo community members surveyed were moderately supportive of the Navajo Nation tax on unhealthy foods. Higher income and education and understanding of the law were associated with greater support, but nutrition intake was not.

Study Finds US Households, Especially in Rural Areas, Increasingly Shop at Dollar Stores for Food.

This Medical News article discusses a new study of household food purchasing trends from 2008 to 2020.

Impacto da aquisição de alimentos ultraprocessados e da carne bovina sobre a agrobiodiversidade no Brasil (2017-18) / Impact of ultra-processed food and beef acquisition on agrobiodiversity in Brazil (2017-18)

Introdução: A agrobiodiversidade é recurso essencial para a promoção de dietas e sistemas alimentares saudáveis e sustentáveis. Apesar disso, a agrobiodiversidade global está em declínio, especialmente a diversidade de espécies vegetais utilizadas para consumo humano. Objetivo: Esta tese buscou estudar a agrobiodiversidade mobilizada pela aquisição domiciliar de alimentos no Brasil e a influência que padrões de aquisição de alimentos ultraprocessados e de carne bovina exercem sobre a agrobiodiversidade. Métodos: Estudo transversal em que foram analisados dados da Pesquisa Nacional de Orçamentos Familiares 2017-18 a fim de estimar a quantidade total de alimentos adquiridos. Agregados de domicílios (n=575) foram utilizados como unidade de análise do estudo. Os itens alimentares adquiridos foram classificados segundo a classificação Nova. Metodologia inédita de quatro passos foi aplicada para estimar a diversidade de espécies subjacentes às aquisições domiciliares de alimentos. O índice de Shannon foi utilizado para avaliar a diversidade de espécies vegetais mobilizadas. Modelos de regressão linear foram utilizados para testar associações entre a participação da carne bovina e de alimentos ultraprocessados no total adquirido e o índice de Shannon. O primeiro manuscrito apresenta as hipóteses desta tese e ressalta a ausência do debate a respeito dos efeitos dos alimentos ultraprocessados sobre a agrobiodiversidade nas agendas internacionais de sistemas alimentares, biodiversidade e mudanças climáticas. O segundo manuscrito descreve a abordagem metodológica utilizada para estimar a agrobiodiversidade demandada pela dieta, bem como aplicar esta abordagem em dados de aquisição de alimentos no Brasil. O terceiro manuscrito descreve a diversidade de espécies vegetais mobilizadas pela população brasileira, além de investigar o impacto de diferentes padrões de aquisição (de ultraprocessados e de carne bovina) sobre a diversidade de espécies vegetais mobilizadas. Resultados: Mais de 95% da quantidade total de espécies vegetais mobilizadas pela aquisição domiciliar de alimentos no Brasil foram provenientes de apenas seis espécies: braquiária, milho, soja, arroz, cana-de-açúcar e trigo. O valor médio do índice de Shannon relativo à diversidade de espécies vegetais mobilizadas foi de 0,86 indicando baixa diversidade. Os efeitos simultâneos da participação de alimentos ultraprocessados e da carne bovina no total adquirido sobre a diversidade de espécies vegetais mobilizadas mostraram que os valores médios ajustados do índice de diversidade diminuíram significativamente em todos os cenários de aquisição de alimentos ultraprocessados com o aumento da participação de carne no total adquirido. De forma semelhante, o índice de Shannon tendeu a diminuir significativamente em todos os cenários de aquisição de carne bovina com aumento da participação de ultraprocessados no total adquirido, com exceção do último quinto de participação da carne bovina (p>0,05). O índice de Shannon caiu pela metade (51%) passando de um cenário com menor participação de ultraprocessados e de carne bovina (1,22) para um cenário com a maior participação de ambos os grupos (0,60). Conclusões: Os resultados deste estudo demonstram uma baixa diversidade de espécies vegetais mobilizadas por agregados de domicílios brasileiros, com alta concentração em um número muito reduzido de espécies. Observou-se piora da diversidade de espécies mobilizadas com o aumento da participação de alimentos ultraprocessados e da carne bovina.

Introduction: Agrobiodiversity is key for promoting healthy diets and moving towards more sustainable food systems. Despite this, global agrobiodiversity is declining, especially the diversity of plant species used for human consumption. Objective: This thesis aims to study the agrobiodiversity mobilized by household food acquisition in Brazil and the influence that ultra-processed food and beef acquisitions might exert on agrobiodiversity. Methods: Cross-sectional study in which data from the 2017-18 National Household Budget Survey were used to quantify the total amount of foods purchased. Household aggregates (n=575) were used as the unit of analysis. All food items were classified according to the Nova classification system. A sequential, four-step approach was applied to estimate the plant species underlying household food acquisitions. The Shannon index was used to evaluate the diversity of plant species mobilized. Linear regression models were used to test associations between the share of beef and of ultra-processed foods in total food acquisition and the Shannon index. The first manuscript presents the hypotheses of this thesis and highlights the lack of debate around the effects of ultra-processed foods on agrobiodiversity in global food systems fora, biodiversity conventions and climate change conferences. The second manuscript describes the methodological approach used to estimate the agrobiodiversity linked to human diet, and applies this approach to Brazilian food purchase data. The third manuscript describes the diversity of plant species mobilized by the Brazilian population, and investigates the impact of different food acquisition patterns (with a focus on ultra-processed foods and beef) on the diversity of plant species mobilized. Results: More than 95% of the total amount of plant species required by Brazilian household food acquisitions came from only six species - brachiaria, maize, soybean, rice, sugarcane and wheat. The average Shannon index relative to the diversity of plant species that underlie household food acquisitions in Brazil was 0.86, indicating low diversity. Adjusted mean values of the diversity index decreased significantly as the share of beef to total food acquisition increased, in all scenarios of ultra-processed food acquisition. Similarly, the Shannon index tended to significantly decrease with an increase in the share of ultra-processed foods to total food acquisition in all scenarios of beef acquisition, except in the fifth quintile of beef (p>0.05). The Shannon index decreased by half (51%) moving from a scenario with the lowest share of both ultra-processed foods and beef to total food acquisition (1.22) to a scenario with the highest share of both food groups (0.60). Conclusion: Our findings demonstrate a low diversity of species mobilized by Brazilian household aggregates and a high concentration in a small number of species. The diversity of species mobilized decreased with an increase in both the share of ultra-processed foods and of beef in total food acquisitions.

Using household economic survey data to assess food expenditure patterns and trends in a high-income country with notable health inequities.

This study aimed to identify dietary trends in Aotearoa New Zealand (NZ) and whether inequities in dietary patterns are changing. We extracted data from the Household Economic Survey (HES), which was designed to provide information on impacts of policy-making in NZ, and performed descriptive analyses on food expenditures. Overall, total household food expenditure per capita increased by 0.38% annually over this period. Low-income households spent around three quarters of what high-income households spent on food per capita. High-income households experienced a greater increase in expenditure on nuts and seeds and a greater reduction in expenditure on processed meat. There was increased expenditure over time on fruit and vegetables nuts and seeds, and healthy foods in Maori (Indigenous) households with little variations in non-Maori households. But there was little change in processed meat expenditure for Maori households and expenditure on less healthy foods also increased over time. Routinely collected HES data were useful and cost-effective for understanding trends in food expenditure patterns to inform public health interventions, in the absence of nutrition survey data. Potentially positive expenditure trends for Maori were identified, however, food expenditure inequities in processed meat and less healthy foods by ethnicity and income continue to be substantial.

Impacts of the COVID-19 pandemic on food prices: Evidence from storable and perishable commodities in India.

The supply chain disruptions caused by the COVID-19 outbreak have led to changes in food prices globally. The impact of COVID-19 on the price of essential and perishable food items in developing and emerging economies has been lacking. Using a recent phone survey by the World Bank, this study examines the impact of the COVID-19 pandemic on the prices of the three essential food items in India. The results indicate that price of basic food items such as atta (wheat flour) and rice increased significantly during the pandemic compared to the pre-pandemic period. In contrast, during the same period, the price of onions declined significantly. The findings may suggest panic-buying, hoarding, and storability of food items. The results further reveal that remittance income and cash transfers from the government negatively affected commodity prices. Thus, this study's findings suggest that families may have shifted the demand away from essential foods during the pandemic.