Food environment research in Canada: a rapid review of methodologies and measures deployed between 2010 and 2021.

Numerous research methodologies have been used to examine food environments. Existing reviews synthesizing food environment measures have examined a limited number of domains or settings and none have specifically targeted Canada. This rapid review aimed to 1) map research methodologies and measures that have been used to assess food environments; 2) examine what food environment dimensions and equity related-factors have been assessed; and 3) identify research gaps and priorities to guide future research. A systematic search of primary articles evaluating the Canadian food environment in a real-world setting was conducted. Publications in English or French published in peer-reviewed journals between January 1 2010 and June 17 2021 and indexed in Web of Science, CAB Abstracts and Ovid MEDLINE were considered. The search strategy adapted an internationally-adopted food environment monitoring framework covering 7 domains (Food Marketing; Labelling; Prices; Provision; Composition; Retail; and Trade and Investment). The final sample included 220 articles. Overall, Trade and Investment (1%, n = 2), Labelling (7%, n = 15) and, to a lesser extent, Prices (14%, n = 30) were the least studied domains in Canada. Among Provision articles, healthcare (2%, n = 1) settings were underrepresented compared to school (67%, n = 28) and recreation and sport (24%, n = 10) settings, as was the food service industry (14%, n = 6) compared to grocery stores (86%, n = 36) in the Composition domain. The study identified a vast selection of measures employed in Canada overall and within single domains. Equity-related factors were only examined in half of articles (n = 108), mostly related to Retail (n = 81). A number of gaps remain that prevent a holistic and systems-level analysis of food environments in Canada. As Canada continues to implement policies to improve the quality of food environments in order to improve dietary patterns, targeted research to address identified gaps and harmonize methods across studies will help evaluate policy impact over time.

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.

Estimating the cost and affordability of healthy diets: How much do methods matter?

Recently developed cost and affordability of healthy diet (CoAHD) metrics have quickly become mainstream food security indicators. However, published research on the sensitivity of estimation methods is limited. This paper focuses on two important innovations in CoAHD measurement at the global level. First, we develop a demographic scaling factor to adjust healthy diet costs for cross-country differences in age structures, since younger populations generally require fewer calories than older populations. Second, we improve the way in which household expenditure available for purchasing food ("food budgets") are derived. In addition, we explore sensitivity of global CoAHD estimates to potential problems with the representativeness and food product coverage of global food price data and vary assumptions for activity levels that shape energy expenditure requirements. We apply these explorations to the EAT-Lancet reference diet in 137 countries using price data from 2017. Relative to the conventional methods, we find that demographic scaling and improved food budget derivation substantially reduces the estimated population who cannot afford a healthy diet, from 3.02 to 2.13 billion. Adjustments for low product coverage can lead to modest reductions for specific regions and food groups, while higher physical activity assumptions increase the share of people who cannot afford a healthy diet, though perhaps implausibly so. Methods clearly matter in CoAHD estimation, and more accurate and timelier CoAHD estimates have substantial scope to improve policy analysis, design and targeting.

Food prices and the wages of the poor: A cost-effective addition to high-frequency food security monitoring.

The affordability of nutritious food for "all people, at all times" is a critically important dimension of food security. Yet surprisingly, timely high-frequency indicators of food affordability are rarely collected in any systematic fashion despite price volatility emerging as major source of food insecurity in the 21st Century. The 2008 global food crisis prompted international agencies to invest heavily in monitoring domestic food prices in low and middle income countries (LMICs). However, food price monitoring is not sufficient for measuring changes in diet affordability; for that, one must also measure changes either in income or in an income proxy. We propose using the wages of unskilled workers as a cheap and sufficiently accurate income proxy, especially for the urban and rural non-farm poor. We first outline alternative measures of "food wage" indices, defined as wages deflated either by consumer food price indices or novel healthy diet cost indices. We then discuss the conceptual strengths and limitations of food wages. Finally, we examine patterns and trends in different types of real food wage series during well-known food price crises in Ethiopia (2008, 2011 and 2022), Sri Lanka (2022) and Myanmar (2022). In all these instances, food wages declined by 20-30%, often in the space of a few months. In Myanmar, the decline in real wages during 2022 closely matches declines in household disposable income. We strongly advocate tracking the wages of the poor as a timely, accurate and cost-effective means of monitoring food affordability for important segments of the world's poor.

Food price volatility and socio-economic inequalities in poor food consumption status during coronavirus disease-2019 lockdown among slum and non-slum households in urban Nansana municipality, Uganda.

BACKGROUND: This study assessed staple food price volatility, household food consumption scores (FCS), poor household food consumption status and its association with socio-economic inequalities during enforcing and partial lifting of coronavirus disease-2019 (COVID-19) lockdown restrictions in slum and non-slum households (HHs) of Nansana municipality, Uganda. METHODS: Repeated cross-sectional surveys were conducted during enforcing and partial lifting of COVID-19 lockdown restrictions. A total of 205 slum and 200 non-slum HHs were selected for the study. Telephone based interviews with HH heads were used to collect data on socio-economic factors. Data for FCS was collected using the World Food Programme FCS method. Prices for staple foods were collected by face-to-face interviews with food vendors from the local market. Mean staple food price differences before COVID-19 lockdown, during enforcing, and partial lifting of lockdown was tested by Analysis of variance with repeated measures. Multivariate logistic regression analysis was used to assess the association between socio-economic variables and poor food consumption status. A statistical test was considered significant at p < 0.05. RESULTS: Mean staple food prices were significantly higher during enforcing COVID-19 total lockdown restrictions compared to either 1 week before lockdown or partial lifting of lockdown (p < 0.05). Mean FCS for staple cereals and legumes were significantly higher in slum HHs during COVID-19 lockdown compared to when the lockdown was partially lifted (p < 0.05). In slum HHs, the prevalence of poor food consumption status was significantly higher during partial lifting (55.1%) compared to total lockdown of COVID-19 (15.1%), p < 0.05. Among slum HHs during lockdown restrictions, food aid distribution was negatively associated with poor food consumption status (AOR: 0.4, 95% CI: 0.1-0.6), whilst being a daily wage earner was positively associated with poor food consumption status (AOR: 0.5, 95% CI: 0.1-0.6). During partial lifting of COVID-19 lockdown in slum HHs, poor food consumption status was positively associated with female headed HHs (AOR: 1.2, 95%CI: 1.1-1.6), daily wage earners (AOR: 3.2, 95% CI: 2.6-3.8), unemployment (AOR: 1.9, 95% CI: 1.5-2.1) and tenants (AOR: 2.4, 95% CI: 1.8-3.5). Female headed HHs, daily wage earners and tenants were positively associated with poor food consumption status either during enforcing or partial lifting of COVID-19 lockdown restrictions in non-slum HHs. CONCLUSION: Staple food prices increased during enforcing either the COVID-19 lockdown or partial lifting of the lockdown compared to before the lockdown. During the lockdown, food consumption improved in slum HHs that received food aid compared to those slum HHs that did not receive it. Household heads who were females, daily wage earners, unemployed, and tenants were at risk of poor food consumption status either in slum or non-slum, and therefore needed some form of food assistance either during enforcing or partial lifting of the lockdown.

Cost and affordability of a healthy diet for urban populations in Thailand and the Philippines before and during the COVID-19 pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic severely affected global food security, but analyses of its impact on the cost and affordability of a healthy diet are limited. This study examines the immediate effect of the COVID-19 pandemic on the cost and affordability of a healthy diet among urban households in Bangkok, Thailand and Manila, the Philippines. METHODS: We used official food price and household income and food expenditure data from the national statistics offices. The cost of recommended diet (CoRD) method was employed to assess the minimum cost of a healthy diet, following the healthy diet recommendations provided in the national food-based dietary guidelines of the specific countries. Regression discontinuity design was estimated to determine the COVID-19 effect on food prices and scenario analysis done to determine the effect of reduced food budgets with and without government relief programs. RESULTS: The results show that the average cost of the recommended diet was US$ 1.55 per person/day in Bangkok and US$ 3.76 in Manila (2019 prices in purchasing power parities) immediately before the pandemic. This diet is generally affordable for all households in Bangkok, but only for 37% of households (4.98 million people) in Manila, indicating much higher poverty in the latter. The pandemic and associated government measures decreased the cost of the recommended diet with 6.5% in Bangkok (p = 0.001) but not in Manila (p = 0.167). Assuming contractions in people's food budgets of 15-20%, the recommended diet became unaffordable for 0.08-0.12 million people in Bangkok and 6.32-7.73 million people in Manila during the pandemic. Government relief largely compensated for this loss in Bangkok, but relief payments in Manila were not enough to compensate the effect. CONCLUSION: These results show that the main effect of the COVID-19 pandemic on the affordability of healthy diets was through the effect on reduced incomes of the poor rather than through prices. Government relief measures should target low-income households to give them the means to purchase healthy food items.

Food price and availability in Solomon Islands during COVID-19: A food environment survey.

Background: In Solomon Islands, the retail food environment is an important food source, for instance, the dominant source of fresh fruit and vegetables for urban consumers is open markets. The effects of COVID-19 mitigation measures (such as restriction of human movement and border closures) in early 2020 placed food security at risk in many parts of the community. Of particular concern was the risk of price gouging in an already price-sensitive market. Aims: The study aimed to provide rapid and policy-relevant information on the pricing of foods in the urban food environment in Solomon Islands in the context of the unfolding COVID-19 pandemic. Methods: A vendor survey was conducted in July to August 2020 and repeated in July 2021 using a survey tool that collected information on type, quantity, and price of food on offer. Findings: We found price reductions among the majority of fresh fruit and non-starchy vegetables available. A trend of rising prices was reported for some other commodities, such as fresh locally caught fish. Conclusion: Our findings highlight the impact of 'schocks to the system' on food prices as a potential barrier or enabler to consumption of fresh foods purchased from urban areas - an important finding in a price sensitive market. The survey design was successful in collecting pricing data from the retail food environment during a time of external 'shock to the system'. Our approach is applicable to other settings needing a rapid survey of the external food environment.

Global evidence of the exposure-lag-response associations between temperature anomalies and food markets.

Recent years have witnessed a landmark shift in global food prices due to the frequency of extreme weather events caused by temperature anomalies as well as the overlapping risks of COVID-19. Notably, the threat posed by temperature anomalies has spread beyond agricultural production to all aspects across food supply and demand channels, further amplifying volatility in food markets. Exploring trends in global food prices will give nations early warning signs to ensure the stability of food market. Accordingly, we utilize the Distributed Lag Non-Linear Model (DLNM) to simultaneously establish the exposure-lag-response associations between global temperature anomalies and food price returns in two dimensions: "Anomaly Degree" and "Response Time". Meanwhile, we also examine the cumulative lagged effects of temperature anomalies in terms of different quantiles and lag times. Several conclusions have been drawn. First, global food price returns will continue to decrease when the average temperature drops or rises slightly. While it turns up once the average temperature rises more than 1.1 °C. Second, major food commodities are more sensitive to temperature changes, and their price returns may also trend in a directional shift at different lags, with the trend in meat price being more particular. Third, food markets are more strongly affected in the case of extreme temperature anomalies. Many uncertainties still exist regarding the impact of climate change on food markets, and our work serves as a valuable reference for international trade regulation as well as the creation of dynamic climate risk hedging strategies.

Real-time monitoring of food price policy interventions during the first two years of COVID-19.

COVID-19 has resulted in a shock to agrifood systems around the world, with the potential for low- and middle-income countries to be particularly affected. Although policy responses were more muted than during the 2007-2008 world food crisis, efforts to insulate from supply shocks and ensure local availability during COVID-19 have generally included export restrictions and import tariff reductions, among other responses. In an effort to enable rapid market monitoring and realignment, we develop a new indicator defined as a monthly nominal rate of protection "express" which seeks to indicate how policies enacted are affecting prices domestically in real-time in order to understand how they responded. This analysis examines changes to this indicator during the first two years of the pandemic in 24 low- and middle-income countries for the most-consumed staple cereals of the poor and food insecure. We show that gaps between domestic and international prices declined by a median of 20.3 percentage points compared to the same months in recent previous years. While policies were enacted to mitigate price increases that would have eventually been transmitted to poor consumers, other factors related to international demand and supply chain disruptions may also have contributed to the observed trend in the analyzed countries. Moreover, impacts on prices varied across countries and commodities, depending on region, net trade, and previous gap levels. Finally, this indicator can contribute to examining primary drivers of changes and conducting causal analysis to facilitate adequate agrifood policy responses to support economic recovery in the post-COVID-19 era.

Has the world survived the population bomb? A 10-year update.

Between 1960 and 2011, world population grew from 3 to 7 billion, an unprecedented rate of population growth that will never be seen again. In spite of the addition of 4 billion people in just 51 years, the world experienced some of the biggest improvements in living standards in human history, with declines in poverty and improvements in food production per capita in all major regions. This paper looks at the period since 2011, during which the world added another billion people. Progress has continued in many areas, with food production continuing to grow faster than population and with continued declines in the proportion of the population in poverty in all regions. Not all trends are positive, however. Progress in food production has slowed, with recent declines in food production per capita in Africa. Prices of food and other commodities have recently hit historic highs. Climate change is a challenge to progress in combatting hunger and poverty, especially in Africa. While climate change will make it harder to meet the needs of Africa's continued population growth in this century, the paper shows that the countries with the highest population growth account for a very small share of global CO2 emissions. The record of the last six decades suggests that progress can be made to reduce poverty and hunger, even while world population continues to grow, but continued progress will require solutions to climate change that mainly target high-income and middle-income countries.

Adhering to a Mediterranean diet in a Mediterranean country: an excess cost for families?

Adherence to the Mediterranean diet (MD) has been decreasing in southern Europe, which could be linked to several cultural or educational factors. Our aim is to evaluate the extent to which economic aspects may also play a role, exploring the relationship between food prices in Portugal and adherence to the MD. We evaluated data from the Portuguese National Food, Nutrition, and Physical Activity Survey (IAN-AF 2015-2016) (n 3591). Diet expenditures were estimated by attributing a retail price to each food group, and the diet was transposed into the Mediterranean Diet Score used in the literature. Prices were gathered from five supermarket chains (65 % of the Portuguese market share). Linear regression models were used to assess the association between different adherence levels to the MD levels and dietary costs. Greater adherence to the MD was associated with a 21·2 % (P < 0·05) rise in total dietary cost, which accounts for more 0·59€ in mean daily costs when compared with low adherence. High adherence individuals (v. low adherence) had higher absolute mean daily costs with fish (0·62€/+285·8 %; P < 0·05), fruits (0·26€/+115·8 %; P < 0·05) and vegetables (0·10€/+100·9 %; P < 0·05). The analysis stratified by education and income level showed significantly higher mean daily diet cost only amongst higher income groups. Our findings suggest that greater adherence to the MD was positively and significantly associated with higher total dietary cost. Policies to improve population's diet should take into consideration the cost of healthy foods, especially for large low- and middle-income families.

Food availability and affordability in a Mediterranean urban context: associations by store type and area-level socio-economic status.

OBJECTIVE: Although food environments have been highlighted as potentially effective targets to improve population diets, evidence on Mediterranean food environments is lacking. We examined differences in food availability and affordability in Madrid (Spain) by store type and area-level socio-economic status (SES). DESIGN: Cross-sectional study. Trained researchers conducted food store audits using the validated Nutrition Environment Measures Survey in Stores for Mediterranean contexts (NEMS-S-MED) tool to measure the availability and price of twelve food groups (specific foods = 35). We computed NEMS-S-MED scores and summarised price data with a Relative Price Index (RPI, comparing prices across stores) and an Affordability Index (normalising prices by area-level income). We compared the availability and affordability of 'healthier-less healthy' food pairs, scores between food store types (supermarkets, specialised, convenience stores and others) and area-level SES using ANOVA and multi-level regression models. SETTING: City of Madrid. 2016 and 2019 to cover a representative sample. PARTICIPANTS: Food stores within a socio-economically diverse sample of sixty-three census tracts (n 151). RESULTS: Supermarkets had higher food availability (37·5/49 NEMS-S-MED points), compared to convenience stores (13·5/49) and specialised stores (8/49). Supermarkets offered lower prices (RPI: 0·83) than specialised stores (RPI: 0·97) and convenience stores (RPI: 2·06). Both 'healthy' and 'less healthy' items were more available in supermarkets. We found no differences in food availability or price by area-level SES, but affordability was higher in higher-income areas. CONCLUSIONS: Supermarkets offered higher food availability and affordability for healthy and less healthy food items. Promoting healthy food availability through supermarkets and specialised stores and/or limiting access to convenience stores are promising policy options to achieve a healthier food environment.

Qualitative exploration of the dynamics of women's dietary diversity. How much does economic empowerment matter?

OBJECTIVE: This study qualitatively examined dietary diversity among married women of reproductive age who engaged in two socio-economic activities to explore the dynamics of food availability, access, costs and consumption. DESIGN: Qualitative in-depth interviews. The food groups in the Minimum Dietary Diversity for women were used to explore women's dietary diversity. IDI were used to develop a roster of daily food consumption over a week. We explored food items that were considered expensive and frequency of consumption, food items that women require permission to consume and frequency of permission sought and the role of economic empowerment. Data analysis followed an inductive-deductive approach to thematic analysis. SETTING: Rural and peri-urban setting in Enugu State, Nigeria. PARTICIPANTS: Thirty-eight married women of reproductive age across two socio-economic groupings (women who work only at home and those who worked outside their homes) were recruited in April 2019. RESULTS: Economic empowerment improved women's autonomy in food purchase and consumption. However, limited income restricted women from full autonomy in consumption decisions and access. Consumption of non-staple food items, especially flesh proteins, would benefit from women's economic empowerment, whereas staple food items would not benefit so much. Dietary diversity is influenced by food production and purchase where factors including seasonal variation in food availability, prices, contextual factors that influence women's autonomy and income are important determinants. CONCLUSION: With limited income, agency and access to household financial resources coupled with norms that restrict women's income earning, women continue to be at risk for not achieving adequate dietary diversity.

The effects of the oil price and temperature on food inflation in Latin America.

The impacts on food prices of temperature, the oil price, the exchange rate and wages in the agricultural industry were examined via a structural vector autoregression model and panel Granger causality test, using monthly data between January 2003 and December 2020 for Latin American countries. The paper concerns how much the determinants affect food prices. Empirical findings show that the oil price and temperature can be significant factors for reducing food inflation. According to the result of variance decomposition, in general, a considerable part of food inflation was explained by the exchange rate, but its effect did not show any significant change in the long term. The impacts of the oil price and temperature were limited in the early months, but they created larger changes over time. Impulse response function and the Granger causality test also indicated that exchange rate was a crucial dynamic in explaining food inflation in all countries except Ecuador. This country successfully mitigated the negative effect of the exchange rate, but the oil price and temperature had an impact on food inflation. All results indicate that both monetary and fiscal policies are essential to control food prices. These countries can accomplish this by conventional policies or by radical institutional changes. Nevertheless, the oil price and temperature are external dynamics, and crucial in creating alternative policies to control food inflation.

Affordability of current, and healthy, more equitable, sustainable diets by area of socioeconomic disadvantage and remoteness in Queensland: insights into food choice.

BACKGROUND: Poor diet is the leading preventable risk factor contributing to the burden of disease globally and in Australia, and is inequitably distributed. As the price of healthy foods is a perceived barrier to improved diets, evidence on the cost and affordability of current (unhealthy) and recommended (healthy, more equitable and sustainable) diets is required to support policy action. METHODS: This study applied the Healthy Diets ASAP (Australian Standardised Affordability and Pricing) methods protocol to measure the cost, cost differential and affordability of current and recommended diets for a reference household in Queensland, Australia. Food prices were collected in 18 randomly selected locations stratified by area of socioeconomic disadvantage and remoteness. Diet affordability was calculated for three income categories. RESULTS: Surprisingly, recommended diets would cost 20% less than the current diet in Queensland as a whole. Households spent around 60% of their food budget on discretionary choices (that is, those not required for health that are high in saturated fat, added sugar, salt and/or alcohol). Queensland families would need to spend around 23% of their income on recommended diets. However, recommended diets would not be affordable in low socioeconomic or very remote areas, costing 30 and 35% of median household income respectively. The government supplements due to the SARS-CoV-2 pandemic would improve affordability of recommended diets by 29%. CONCLUSIONS: Study findings highlight that while price is one factor affecting consumer food choice, other drivers such as taste, convenience, advertising and availability are important. Nevertheless, the study found that recommended diets would be unaffordable in very remote areas, and that low-income families are likely experiencing food stress, irrespective of where they live in Queensland. Policy actions, such as increasing to 20% the current 10% tax differential between basic healthy, and unhealthy foods in Australia, and supplementing incomes of vulnerable households, especially in remote areas, are recommended to help improve diet equity and sustainability, and health and wellbeing for all.

Cost and affordability of nutritious diets at retail prices: Evidence from 177 countries.

Many policies and programs aim to bring nutritious diets within reach of the poor. This paper uses retail prices and nutrient composition for 671 foods and beverages to compute the daily cost of essential nutrients required for an active and healthy life in 177 countries around the world. We compare this minimum cost of nutrient adequacy with the subsistence cost of dietary energy and per-capita spending on all goods and services, to identify stylized facts about how diet cost and affordability relate to economic development and nutrition outcomes. On average, the most affordable nutrient adequate diet exceeds the cost of adequate energy by a factor of 2.66, costing US$1.35 per day to meet median requirements of healthy adult women in 2011. Affordability is lowest in Sub-Saharan Africa. The sensitivity of diet costs to each requirement reveals the high cost of staying within acceptable macronutrient ranges, particularly the upper limit for carbohydrates. Among micronutrients, total diet costs are most sensitive to requirements for calcium as well as vitamins A, C, E, B12, folate and riboflavin. On average, about 5% of dietary energy in the least-cost nutrient adequate diets is derived from animal source foods, with small quantities of meat and fish. Over 70% of all animal products in least-cost diets is eggs and dairy, but only in upper-middle and high-income countries. In lower income countries where egg and dairy prices are significantly higher, they are replaced by larger volumes of vegetal foods. When controlling for national income, diet costs are most significantly correlated with rural travel times and rural electrification. These data suggest opportunities for targeted policies and programs that reduce market prices and the cost of nutritious diets, while improving affordability through nutrition assistance, safety nets and higher earnings among low-income households.

Association between the price of ultra-processed foods and obesity in Brazil.

BACKGROUND AND AIMS: To estimate the relationship between the price of ultra-processed foods and prevalence of obesity in Brazil and examine whether the relationship differed according to socioeconomic status. METHODS AND RESULTS: Data from the national Household Budget Survey from 2008/09 (n = 55 570 households, divided in 550 strata) were used. Weight and height of all individuals were used. Weight was measured by using portable electronic scales (maximum capacity of 150 kg). Height (or length) was measured using portable stadiometers (maximum capacity: 200 cm long) or infant anthropometers (maximum capacity: 105 cm long). Multivariate regression models (log-log) were used to estimate price elasticity. An inverse association was found between the price of ultra-processed foods (per kg) and the prevalence of overweight (Body mass index (BMI) ≥25 kg/m2) and obesity (BMI ≥30 kg/m2) in Brazil. The price elasticity for ultra-processed foods was -0.33 (95% CI: -0.46; -0.20) for overweight and -0.59 (95% CI: -0.83; -0.36) for obesity. This indicated that a 1.00% increase in the price of ultra-processed foods would lead to a decrease in the prevalence of overweight and obesity of 0.33% and 0.59%, respectively. For the lower income group, the price elasticity for price of ultra-processed foods was -0.34 (95% CI: -0.50; -0.18) for overweight and -0.63 (95% CI: -0.91; -0.36) for obesity. CONCLUSION: The price of ultra-processed foods was inversely associated with the prevalence of overweight and obesity in Brazil, mainly in the lowest socioeconomic status population. Therefore, the taxation of ultra-processed foods emerges as a prominent tool in the control of obesity.

To what extent do dietary costs explain socio-economic differences in dietary behavior?

BACKGROUND: Low socio-economic position is associated with consumption of lower quality diets, which may be partly explained by the cost of healthier diets. Therefore, we aimed to investigate the mediating role of dietary costs in the association between educational level and diet quality. METHODS: We used cross-sectional data from Dutch older adults (N = 9399) in the EPIC-NL cohort. Participants provided information about their own and their partners' highest attained educational level (as proxy for socio-economic position). Dietary behavior was assessed using a food frequency questionnaire from which we derived two diet-quality scores, including the Dutch Healthy Diet index 2015 (DHD15-index) and the Dietary Approaches to Stop Hypertension (DASH) diet. Dietary cost estimates were based on food price data from food stores, and linked to reported consumption of food items. Multiple regression analyses and bootstrapping were used examine the mediating role of dietary cost in the association between educational level and diet quality. RESULTS: Mean age of participants was 70 (SD: 10) years and 77% were women. Dietary costs significantly mediated the association between educational level and diet quality, except for high versus middle individual educational level and the DHD15-index. Depending on the dietary and educational indicator, dietary costs explained between 2 and 7% of the association between educational level and diet quality. Furthermore, associations were found to be modified by sex and age. For the DHD15-index, mediation effects were only present in females and adults older than 65 years, and for the DASH diet mediation effects were only present in females and strongest amongst adults older than 65 years compared to adults younger than 65 years. CONCLUSION: Dietary costs seems to play a modest role in explaining educational differences in diet quality in an older Dutch population. Further research is needed to investigate which other factors may explain SEP differences in diet quality.

What to expect from the price of healthy and unhealthy foods over time? The case from Brazil.

OBJECTIVE: To measure change in price of food groups over time (1995-2030) in Brazil, considering the Brazilian Dietary Guidelines' recommendations. DESIGN: Data from the Household Budget Survey (2008-2009 HBS) and the National System of Consumer Price Indexes (NSCPI) were used to create a data set containing monthly prices for the foods and beverages most consumed in the country (n 102), from January 1995 to December 2017. Data on price of foods and beverages from 2008-2009 HBS (referring to January 2009) were used to calculate real price over time using the monthly variation in prices from NSCPI. All prices were deflated to December 2017. Foods and beverages were classified following the Brazilian Dietary Guidelines' recommendations. The monthly price for each food group and subgroup was used to analyse changes in prices from 1995 to 2017 and to forecast prices up to 2030 using fractional polynomial models. SETTING: Brazil. PARTICIPANTS: National estimates of foods and beverages purchased for Brazil. RESULTS: In 1995, ultra-processed foods were the most expensive group (R$ 6·51/kg), followed by processed foods (R$ 6·44/kg), then unprocessed or minimally processed foods and culinary ingredients (R$ 3·45/kg). Since the early 2000s, the price of ultra-processed foods underwent successive reductions, becoming cheaper than processed foods and reducing the distance between it and the price of the other group. Forecasts indicate that unhealthy foods will become cheaper than healthy foods in 2026. CONCLUSIONS: Food prices in Brazil have changed unfavourably considering the Brazilian Dietary Guidelines' recommendations. This may imply a decrease in the quality of the population's diet.

[A joint study of the multidimensional factors associated with the overall quality of adult diets in Canada]. / Une étude conjointe des facteurs multidimensionnels associés à la qualité globale de l'alimentation des adultes au Canada.

BACKGROUND: With 26% of Canadians suffering from obesity, significant steps are needed to reduce the social and economic costs entailed by their condition. Given its major contribution to this phenomenon, the quality of diet has been at the heart of numerous previous studies. The objective of the study is to analyze, based on recent data, the association between the quality of the diet of Canadian adults (18 years old and over), and their individual characteristics as well as those of their living environment, including several new elements (prices of fruits and vegetables, food security status). METHODS: Using data from the 2015 CCHS-Nutrition Survey and information from the 2007 Canadian Food Guide, a diet quality score (also called healthy eating index) was first calculated and then associated with different factors (identified in a literature review) through multiple linear regressions. RESULTS: In addition to confirming its association with age, gender, overall well-being and other socio-economic factors, this study reveals that quality of adult diets is negatively correlated with the evolution of people's food insecurity status and the increase of vegetable prices in the Canadian provinces since 2002. The positive link between diabetes and the quality of diet could reflect healthier eating behaviors due to the constraints generated by this disease. While city dwellers generally have access to a more diversified food supply, they nevertheless do not have a better diet than the rural population. Finally, non-North American immigrants appear to have a better diet than non-autochthonous Canadians. CONCLUSION: Paying more attention to food insecurity and to the affordability of vegetables are avenues to explore in view of improving the quality of nourishment in Canada. In any event, longitudinal studies shall be required to confirm the role and to measure the actual influence of these variables on the quality of individual adult diets.