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.

Estimated reduction in obesity prevalence and costs of a 20% and 30% ad valorem excise tax to sugar-sweetened beverages in Brazil: A modeling study.

BACKGROUND: The consumption of sugar-sweetened beverages (SSBs) is associated with obesity, metabolic diseases, and incremental healthcare costs. Given their health consequences, the World Health Organization (WHO) recommended that countries implement taxes on SSB. Over the last 10 years, obesity prevalence has almost doubled in Brazil, yet, in 2016, the Brazilian government cut the existing federal SSB taxes to their current 4%. Since 2022, a bill to impose a 20% tax on SSB has been under discussion in the Brazilian Senate. To simulate the potential impact of increasing taxes on SSB in Brazil, we aimed to estimate the price-elasticity of SSB and the potential impact of a new 20% or 30% excise SSB tax on consumption, obesity prevalence, and cost savings. METHODS AND FINDINGS: Using household purchases data from the Brazilian Household Budget Survey (POF) from 2017/2018, we estimated constant elasticity regressions. We used a log-log specification by income level for all beverage categories: (1) sugar-sweetened beverages; (2) alcoholic beverages; (3) unsweetened beverages; and (4) low-calorie or artificially sweetened beverages. We estimated the adult nationwide baseline intake for each beverage category using 24-h dietary recall data collected in 2017/2018. Taking group one as the taxed beverages, we applied the price and cross-price elasticities to the baseline intake data, we obtained changes in caloric intake. The caloric reduction was introduced into an individual dynamic model to estimate changes in weight and obesity prevalence. No benefits on cost savings were modeled during the first 3 years of intervention to account for the time lag in obesity cases to reduce costs. We multiplied the reduction in obesity cases during 7 years by the obesity costs per capita to predict the costs savings attributable to the sweetened beverage tax. SSB price elasticities were higher among the lowest tertile of income (-1.24) than in the highest income tertile (-1.13), and cross-price elasticities suggest SSB were weakly substituted by milk, water, and 100% fruit juices. We estimated a caloric change of -17.3 kcal/day/person under a 20% excise tax and -25.9 kcal/day/person under a 30% tax. Ten years after implementation, a 20% tax is expected to reduce obesity prevalence by 6.7%; 9.1% for a 30% tax. These reductions translate into a -2.8 million and -3.8 million obesity cases for a 20% and 30% tax, respectively, and a reduction of $US 13.3 billion and $US 17.9 billion in obesity costs over 10 years for a 20% and 30% tax, respectively. Study limitations include using a quantile distribution method to adjust self-reported baseline weight and height, which could be insufficient to correct for reporting bias; also, weight, height, and physical activity were assumed to be steady over time. CONCLUSIONS: Adding a 20% to 30% excise tax on top of Brazil's current federal tax could help to reduce the consumption of ultra-processed beverages, empty calories, and body weight while avoiding large health-related costs. Given the recent cuts to SSB taxes in Brazil, a program to revise and implement excise taxes could prove beneficial for the Brazilian population.

Effects of discounting fruits, vegetables, and noncaloric beverages in New York City supermarkets on purchasing, intake, and weight.

OBJECTIVE: The objective of this study was to assess purchasing, intake, and weight after discounting fruits and vegetables (F&V) and noncaloric beverages in New York City supermarkets. METHODS: A 16-week randomized controlled trial was conducted with a 4-week baseline, an 8-week intervention with 50% discounts on F&V and noncaloric beverages, and a 4-week follow-up. Purchasing was tracked via loyalty cards, and intake was tracked via 24-h dietary recalls. Weights were measured at five in-person visits. RESULTS: Data from 67 participants were analyzed (38 in the experimental group; 29 in the control group). F&V and noncaloric beverage weekly purchasing was greater in the experimental than the control group (mean difference [SD], $4.64 [$1.44], p < 0.0001; $0.53 [$0.39], p = 0.008) during intervention, with F&V purchasing remaining greater in the experimental versus control group during follow-up (p = 0.005). F&V intake was greater for the experimental than the control group during intervention (142 [105] g/day; p = 0.009) and follow-up (p = 0.001). Although no difference in noncaloric beverage consumption was observed between groups, there was lower alcohol intake in the experimental than the control group during follow-up (-85.8 [60.2] g/day; p = 0.004). The experimental group lost weight compared with the control group (-1.33 [0.92] kg; p = 0.006 intervention and p = 0.106 follow-up). No differences in nutrient composition or high energy-dense product consumption were found. CONCLUSIONS: A 50% discount on F&V and noncaloric beverages promoted increased purchasing and intake of F&V and induced weight loss.

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.

Comparing the number of outdoor sugar-sweetened beverage and caffeinated beverage advertisements near schools by school type and school-level economic advantage.

INTRODUCTION: Sugar-sweetened beverage and caffeinated beverage consumption are associated with a variety of health issues among youth. Food and beverage marketing has been shown to affect youth's preferences, purchases, and consumption of marketed products. Previous research suggests that outdoor food and beverage marketing differs by community demographics, with more advertisements in lower-income communities and near schools. The purpose of this study is to examine the density of sugar-sweetened and caffeinated beverage advertisements near schools by school type (middle vs. high school) and by school-level SES. METHODS: Data are from the Outdoor Measuring and Evaluating the Determinants and Influence of Advertising (MEDIA)study, which documented and described all outdoor food and beverage advertisements near 47 middle and high schools in 2012. Beverage advertisements were categorized as: sugar-sweetened/caffeinated, sugar-sweetened/non-caffeinated, non-sugar-sweetened/caffeinated, or non-sugar-sweetened/non-caffeinated. Schools were categorized by type (middle vs high) and by SES as determined by the percentage of students qualifying for free or reduced-price lunch. Bootstrapped non-parametric Mann-Whitney U tests compared the number of advertisements in each category by school type and school-level SES (higher vs lower). RESULTS: Compared to schools with higher SES, schools with lower SES had significantly more advertisements for sugar-sweetened/non-caffeinated beverages (Medianlow = 28.5 (IQR 17-69), vs Medianhigh = 10.5 (IQR 4-17) (p = 0.002)., sugar-sweetened non-caffeinated (Medianlow = 46 (IQR 16-99) vs Medianhigh = 13.5 (IQR 6-25), p = 0.002), -sugar-sweetened caffeinated (Medianlow = 12 (IQR 8-19) vs Medianhigh = 6 (IQR 2-8), p = 0.000), and non-sugar-sweetened non-caffeinated (Medianlow = 30 (IQR 13-65) vs Medianhigh = 14 (IQR 4-29), p = 0.045).There were no significant differences by school type. CONCLUSION: This study adds to the literature demonstrating pervasive marketing of unhealthy products in lower-income communities. Disproportionate exposure to sugar-sweetened and caffeinated beverage advertisements in lower-income communities may contribute to the disparities in associated health outcomes by economic status.

Closing the loop: A framework for tackling single-use plastic waste in the food and beverage industry through circular economy- a review.

The escalating threat of plastic pollution necessitates urgent and immediate action, particularly within the food and beverage (F&B) industry, a significant contributor to single-use plastic waste (SUP). As the global population surges, so does the consumption of single-use plastics in the F&B sector, perpetuating a linear economy model characterized by a 'take, make, use, dispose' approach. This model significantly exacerbates plastic waste issues, with projections indicating an alarming increase in plastic outputs by 2050 if current practices continue. Against this backdrop, the circular economy presents a viable alternative, with its emphasis on resource retention, recovery, and the extension of product lifecycles. This study delves into the problems posed by single-use plastics, introduces the circular economy as a sustainable model, and explores effective strategies for the recycling and reuse of plastic waste within this framework. By examining the environmental impact of SUP in the F&B sector and advocating for the adoption of circular economy principles, this paper underscores a critical pathway towards sustainable solutions in the battle against plastic pollution. In conclusion, the transition to a circular economy, underpinned by global collaboration and the proactive implementation of supportive policies, is imperative for reducing the environmental footprint of single-use plastics and fostering a sustainable future.

Philadelphia Beverage Tax's Impact on Beverage Ad Expenditures and Number of Ads Purchased.

INTRODUCTION: On January 1, 2017, Philadelphia implemented a beverage excise tax. The study's objective was to determine whether beverage advertising expenditures and the number of beverage ads purchased changed in Philadelphia compared to Baltimore because of this tax. METHODS: Monthly beverage ad expenditures and the number of beverage ads purchased by brand from January 2016 through December 2019 were obtained. Ads were coded as being for taxed or not taxed beverages and analyzed in 2023. The primary outcomes were quarterly taxed beverage ad expenditures and number of ads purchased. A controlled interrupted time series design on segmented linear regression models was used. Models (aggregated and stratified by internet, spot TV, and local radio) compared whether levels and trends in the outcomes changed from pre- to post-tax in Philadelphia compared to Baltimore. RESULTS: There were no significant differences in taxed beverage advertising expenditures between Philadelphia and Baltimore for trends pretax, at implementation, or post-tax. There were 0.13 (95% CI: -0.25, -0.003) fewer quarterly taxed beverage ads purchased per 100 households in Philadelphia versus Baltimore at baseline. Among internet advertising, there were 0.42 (95% CI: -0.77, -0.06) fewer quarterly taxed beverage ads purchased per 100 households in Philadelphia versus Baltimore immediately post-tax. For spot TV ads, the percentage of taxed beverages ads purchased per quarter was greater at baseline in Philadelphia by 28.0 percentage points (95% CI: 1.9, 54.1). CONCLUSIONS: This study found little evidence of changes in mass media advertising on the examined platforms between 2016 and 2019 due to the Philadelphia beverage tax.

Impact of the Philadelphia Beverage Tax on Perceived Beverage Healthfulness, Tax Awareness, and Tax Opinions.

OBJECTIVE: To assess the impact of the Philadelphia Beverage Tax on perceived beverage healthfulness, and awareness and opinions of the tax. DESIGN: Natural experiment SETTING: Small independent stores in Philadelphia (n = 61) and Baltimore (untaxed control site; n = 65) PARTICIPANTS: Shoppers in Philadelphia (n = 2,731) and Baltimore (n = 4,600) pre- and post-tax implementation. MAIN OUTCOME MEASURES: Perceptions of 4 beverages (unhealthy vs healthy/neutral), tax awareness, and tax opinions (oppose vs favor/neutral). ANALYSIS: Mixed-effects linear probability models estimated changes in perceived beverage healthfulness in Philadelphia, relative to Baltimore, following a difference-in-differences approach. Mixed-effects linear probability models estimated pre-post changes in tax awareness and opinions in Philadelphia-only. RESULTS: The probability of perceiving taxed beverages as unhealthy increased 2-years post-tax relative to Baltimore (regular soda: 5.7% [95% confidence interval (CI), 0.9-10.6], P = 0.02; diet soda: 7.7% [95% CI, 1.5-13.8], P < 0.001; sports drinks: 6.4% [95% CI, 0.4-12.4], P = 0.04), with similar changes at 1-year post-tax, whereas perceived healthfulness of untaxed 100% fruit juice did not change. Tax awareness was high at baseline (72%) and increased post-implementation; however, the probability of opposing the tax (22%) also increased over time. CONCLUSIONS AND IMPLICATIONS: Decreases in the perceived healthfulness of taxed beverages suggest the tax had a health-signaling effect. Consumer awareness and health education efforts could complement tax policies to enhance understanding of health risks.

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.

Changes in household food and drink purchases following restrictions on the advertisement of high fat, salt, and sugar products across the Transport for London network: A controlled interrupted time series analysis.

BACKGROUND: Restricting the advertisement of products with high fat, salt, and sugar (HFSS) content has been recommended as a policy tool to improve diet and tackle obesity, but the impact on HFSS purchasing is unknown. This study aimed to evaluate the impact of HFSS advertising restrictions, implemented across the London (UK) transport network in February 2019, on HFSS purchases. METHODS AND FINDINGS: Over 5 million take-home food and drink purchases were recorded by 1,970 households (London [intervention], n = 977; North of England [control], n = 993) randomly selected from the Kantar Fast Moving Consumer Goods panel. The intervention and control samples were similar in household characteristics but had small differences in main food shopper sex, socioeconomic position, and body mass index. Using a controlled interrupted time series design, we estimated average weekly household purchases of energy and nutrients from HFSS products in the post-intervention period (44 weeks) compared to a counterfactual constructed from the control and pre-intervention (36 weeks) series. Energy purchased from HFSS products was 6.7% (1,001.0 kcal, 95% CI 456.0 to 1,546.0) lower among intervention households compared to the counterfactual. Relative reductions in purchases of fat (57.9 g, 95% CI 22.1 to 93.7), saturated fat (26.4 g, 95% CI 12.4 to 40.4), and sugar (80.7 g, 95% CI 41.4 to 120.1) from HFSS products were also observed. Energy from chocolate and confectionery purchases was 19.4% (317.9 kcal, 95% CI 200.0 to 435.8) lower among intervention households than for the counterfactual, with corresponding relative reductions in fat (13.1 g, 95% CI 7.5 to 18.8), saturated fat (8.7 g, 95% CI 5.7 to 11.7), sugar (41.4 g, 95% CI 27.4 to 55.4), and salt (0.2 g, 95% CI 0.1 to 0.2) purchased from chocolate and confectionery. Relative reductions are in the context of secular increases in HFSS purchases in both the intervention and control areas, so the policy was associated with attenuated growth of HFSS purchases rather than absolute reduction in HFSS purchases. Study limitations include the lack of out-of-home purchases in our analyses and not being able to assess the sustainability of observed changes beyond 44 weeks. CONCLUSIONS: This study finds an association between the implementation of restrictions on outdoor HFSS advertising and relative reductions in energy, sugar, and fat purchased from HFSS products. These findings provide support for policies that restrict HFSS advertising as a tool to reduce purchases of HFSS products.

Price Trends of Healthy and Less Healthy Foods and Beverages in Mexico from 2011-2018.

BACKGROUND: Cost is one of the main drivers of food selection; thus it is important to monitor food prices. Evidence from low- and middle-income countries such as Mexico is limited. OBJECTIVE: The aim of this study was to evaluate the prices and price trends of healthy and less healthy food/beverage groups in Mexico from 2011 to 2018. DESIGN: This study used a time series of the prices of foods and beverages classified by 1) healthiness, 2) processing level, and 3) pairs of healthy/less healthy substitutes. SETTING: Food and beverage prices used to estimate the Consumer Price Index were obtained. Prices were collected weekly from 46 cities (>20,000 habitants) distributed across the country. MAIN OUTCOME MEASURES: Price trend (% change/year) from 2011 to 2018 for all food/beverage groups and price/100 g in 2018 for pairs of healthy/less healthy substitutes were obtained. STATISTICAL ANALYSES: Linear regression models were used for each food/beverage group, with the logarithm of deflated price as the dependent variable and time (years) as the independent variable. RESULTS: On average, prices for less healthy foods and beverages increased more than prices of healthy foods and beverages (foods: 1.72% vs 0.70% change/year; beverages: 1.61% vs -0.19% change/year). The price change was similar for unprocessed/minimally processed foods and ultraprocessed foods (1.95% vs 1.85% change/year); however, within each processing category, the price of less healthy foods increased more. By pairs of substitutes (within food/beverage groups), the healthier option for bread, sodas, and poultry was more expensive (price/100 g) in 2018, whereas for red meat, cheese, mayonnaise, and milk, the healthier option was cheaper. CONCLUSIONS: Overall, the food prices of less healthy foods and beverages increased more than the food prices of healthy foods and beverages. However, by processing level there was no difference, and for pairs of healthy/less healthy substitutes results were mixed. Continued monitoring of food prices is warranted, and future research is needed to understand how these price changes affect dietary quality.

Changes in food pricing and availability on the Navajo Nation following a 2% tax on unhealthy foods: The Healthy Diné Nation Act of 2014.

INTRODUCTION: In 2014, the Navajo Nation Healthy Diné Nation Act (HDNA) was passed, combining a 2% tax on foods of 'minimal-to-no-nutritional value' and waiver of 5% sales tax on healthy foods, the first-ever such tax in the U.S. and globally among a sovereign tribal nation. The aim of this study was to measure changes in pricing and food availability in stores on the Navajo Nation following the implementation of the HDNA. METHODS: Store observations were conducted in 2013 and 2019 using the Nutrition Environment Measurement Survey-Stores (NEMS-S) adapted for the Navajo Nation. Observations included store location, type, whether healthy foods or HDNA were promoted, and availability and pricing of fresh fruits and vegetables, canned items, beverages, water, snacks and traditional foods. Differences between 2013 and 2019 and by store type and location were tested. RESULTS: The matched sample included 71 stores (51 in the Navajo Nation and 20 in border towns). In 2019, fresh produce was available in the majority of Navajo stores, with 71% selling at least 3 types of fruit and 65% selling at least 3 types of vegetables. Compared with border town convenience stores, Navajo convenience stores had greater availability of fresh vegetables and comparable availability of fresh fruit in 2019. The average cost per item of fresh fruit decreased by 13% in Navajo stores (from $0.88 to $0.76) and increased in border stores (from $0.63 to $0.73), resulting in comparable prices in Navajo and border stores in 2019. While more Navajo stores offered mutton, blue corn and wild plants in 2019 compared to 2013, these changes were not statistically significant. DISCUSSION: The findings suggest modest improvements in the Navajo store environment and high availability of fruits and vegetables. Navajo stores play an important role in the local food system and provide access to local, healthy foods for individuals living in this rural, tribal community.

Production, Consumption, and Potential Public Health Impact of Low- and No-Alcohol Products: Results of a Scoping Review.

Switching from higher strength to low- and no-alcohol products could result in consumers buying and drinking fewer grams of ethanol. We undertook a scoping review with systematic searches of English language publications between 1 January 2010 and 17 January 2021 using PubMed and Web of Science, covering production, consumption, and policy drivers related to low- and no-alcohol products. Seventy publications were included in our review. We found no publications comparing a life cycle assessment of health and environmental impacts between alcohol-free and regular-strength products. Three publications of low- and no-alcohol beers found only limited penetration of sales compared with higher strength beers. Two publications from only one jurisdiction (Great Britain) suggested that sales of no- and low-alcohol beers replaced rather than added to sales of higher strength beers. Eight publications indicated that taste, prior experiences, brand, health and wellbeing issues, price differentials, and overall decreases in the social stigma associated with drinking alcohol-free beverages were drivers of the purchase and consumption of low- and no-alcohol beers and wines. Three papers indicated confusion amongst consumers with respect to the labelling of low- and no-alcohol products. One paper indicated that the introduction of a minimum unit price in both Scotland and Wales favoured shifts in purchases from higher- to lower-strength beers. The evidence base for the potential beneficial health impact of low- and no-alcohol products is very limited and needs considerable expansion. At present, the evidence base could be considered inadequate to inform policy.

Socioeconomic Disparities in Foods/Beverages and Nutrients Consumed by U.S. Adolescents When Snacking: National Health and Nutrition Examination Survey 2005-2018.

Snacking contributes a significant portion of adolescents' daily energy intake and is associated with poor overall diet and increased body mass index. Adolescents from low socioeconomic status (SES) households have poorer snacking behaviors than their higher-SES counterparts. However, it is unclear if the types of food/beverages and nutrients consumed during snacking differ by SES among adolescents. Therefore, this study examines SES disparities in the aforementioned snacking characteristics by analyzing the data of 7132 adolescents (12-19 years) from the National Health and Nutrition Examination Survey 2005-2018. Results reveal that adolescents from low-income households (poverty-to-income ratio (PIR) ≤ 1.3) have lower odds of consuming the food/beverage categories "Milk and Dairy" (aOR: 0.74; 95% CI: 0.58-0.95; p = 0.007) and "Fruits" (aOR: 0.62, 95% CI: 0.50-0.78; p = 0.001) as snacks and higher odds of consuming "Beverages" (aOR: 1.45; 95% CI: 1.19-1.76; p = 0.001) compared to those from high-income households (PIR > 3.5). Additionally, adolescents from low- and middle-income (PIR > 1.3-3.5) households consume more added sugar (7.98 and 7.78 g vs. 6.66 g; p = 0.012, p = 0.026) and less fiber (0.78 and 0.77 g vs. 0.84 g; p = 0.044, p = 0.019) from snacks compared to their high-income counterparts. Future research is necessary to understand factors that influence snacking among adolescents, and interventions are needed, especially for adolescents from low-SES communities.

Distribution and patterns of use of food additives in foods and beverages available in Brazilian supermarkets.

The growing consumption of ultra-processed foods and beverages has drawn attention to the use of different food additives in these products. The use of these additives for different purposes in food products is permitted under specific legislation. The objective of the present study was to assess the distribution and patterns of occurrence of the different categories of food additives present in packaged foods and beverages sold in Brazil. A descriptive cross-sectional study was conducted based on data from lists of ingredients used in foods and beverages sold in supermarkets in Brazil, collected by photographing product labels. The number, technological purpose and proportion of food additives in 9856 items (25 groups) were assessed. Exploratory factor analysis was employed to derive the patterns of food additive categories. Linear regression models were used to assess the association between the patterns and food items analyzed. Only 20.6% of the products analyzed contained no food additives, while 24.8% contained ≥6 additives. The use of food additives was high, particularly cosmetic additives, predominantly flavoring agents, colorings and stabilizers. Five patterns of food additive categories were identified and associated with ultra-processed foods and beverages. The results revealed that food additives are highly prevalent in several types of food items sold in the Brazilian market. Also, the same additive category was common to several different food groups, as were specific food additive combinations. This exposure is potentially harmful to human health, given the known deleterious effects associated with the consumption of these substances.

Favorable Commercial and Health Behavior Impacts of a Healthy Vending Policy at an Australian University.

BACKGROUND: The World Health Organization recognizes universities as an important health-promotion setting, including in healthy food provision. Previous research shows that healthy food retail interventions also need to consider commercial sustainability, including financial outcomes, and should take a holistic approach to consumer experience. OBJECTIVE: Our aim was to determine the health behavior and commercial outcomes of a multicomponent traffic light-based healthy vending policy implemented as one part of a holistic university food policy. The hypothesis was that purchases of less healthy "red" beverages would decrease compared with predicted sales, that purchases of healthier "green" and "amber" alternatives would increase, and that there would be no change in revenue. DESIGN: A quasi-experimental design evaluated a real-world food policy using monthly aggregated sales data to compare pre-intervention (January 2016 to March 2018) and post-intervention period sales (December 2018 to December 2019). PARTICIPANTS/SETTING: Electronic sales data were collected from 51 beverage vending machines across 4 university campuses in Victoria, Australia. INTERVENTION: A multicomponent policy was implemented between April and November 2018. Beverages were classified using a voluntary state government traffic light framework. Policy included display ≤20% red beverages and ≥50% green beverages; machine traffic light labeling; health-promoting machine branding; review of machine placement; and recycled bottle packaging. MAIN OUTCOME MEASURES: Changes in red, amber, and green volume sales, and revenue compared with predicated sales. STATISTICAL ANALYSES PERFORMED: Interrupted time series analysis of sales data compared post-policy sales with predicted sales. RESULTS: In the 13th month post-policy implementation, there was a 93.2% (95% CI +35.9% to +150.5%) increase in total beverage volume sold and an 88.6% (95% CI +39.2% to +138.1%) increase in revenue. There was no change in red beverage volume sold, but increases in green (+120.8%; 95% CI +59.0% to +182.6%) and amber (+223.2%; 95% CI +122.4% to +323.9%) volume sold. CONCLUSIONS: Sustained behavior change and commercial outcomes suggest that holistic vending interventions can effectively promote healthier beverage sales.

Shifting toward a healthier dietary pattern through nudging and pricing strategies: A secondary analysis of a randomized virtual supermarket experiment.

BACKGROUND: Nudging and salient pricing are promising strategies to promote healthy food purchases, but it is possible their effects differ across food groups. OBJECTIVE: To investigate in which food groups nudging and/or pricing strategies most effectively changed product purchases and resulted in within-food groups substitutions or spillover effects. METHODS: In total, 318 participants successfully completed a web-based virtual supermarket experiment in the Netherlands. We conducted a secondary analysis of a mixed randomized experiment consisting of 5 conditions (within subject) and 3 arms (between subject) to investigate the single and combined effects of nudging (e.g., making healthy products salient), taxes (25% price increase), and/or subsidies (25% price decrease) across food groups (fruit and vegetables, grains, dairy, protein products, fats, beverages, snacks, and other foods). Generalized linear mixed models were used to estimate the incidence rate ratios and 95% CIs for changes in the number of products purchased. RESULTS: Compared with the control condition, the combination of subsidies on healthy products and taxes on unhealthy products in the nudging and price salience condition was overall the most effective, as the number of healthy purchases from fruit and vegetables increased by 9% [incidence rate ratio (IRR) = 1.09; 95% CI: 1.02, 1.18], grains by 16% (IRR = 1.16; 95% CI: 1.05, 1.28), and dairy by 58% (IRR = 1.58; 95% CI: 1.31, 1.89), whereas the protein and beverage purchases did not significantly change. Regarding unhealthy purchases, grains decreased by 39% (IRR = 0.72; 95% CI: 0.63, 0.82) and dairy by 30% (IRR = 0.77; 95% CI: 0.68, 0.87), whereas beverage and snack purchases did not significantly change. The groups of grains and dairy showed within-food group substitution patterns toward healthier products. Beneficial spillover effects to minimally targeted food groups were seen for unhealthy proteins (IRR = 0.81; 95% CI: 0.73, 0.91). CONCLUSIONS: Nudging and salient pricing strategies have a differential effect on purchases of a variety of food groups. The largest effects were found for dairy and grains, which may therefore be the most promising food groups to target in order to achieve healthier purchases. The randomized trial on which the current secondary analyses were based is registered in the Dutch trial registry (NTR7293; www.trialregister.nl).

¿Cuál es el efecto de los impuestos a bebidas azucaradas sobre su consumo en la población general? / What is the effect of beverage taxes sugars on its consumption in the general population?

INTRODUCCIÓN: La malnutrición por exceso, junto con las enfermedades crónicas no transmisibles, se han convertido en un importante problema de salud pública mundial, con un 39% de la población adulta con sobrepeso, y un 13% obesidad (1). Una dieta insuficiente, alta en calorías, grasas y azúcares, está estrechamente relacionada con enfermedades crónicas no transmisibles (cáncer, diabetes, hipertensión, enfermedades cardiovasculares, entre otras)(2,3). Así mismo, se ha descrito que una dieta saludable podría prevenir una de cada cinco muertes a nivel mundial, independiente del sexo, edad o nivel socioeconómico(2). Chile presenta una de las prevalencias más altas de sobrepeso y obesidad en adultos globalmente con un 75%, según los datos de la última Encuesta Nacional de Salud (ENS) (4). Un 82% de la carga de enfermedad en Chile está dada por las enfermedades crónicas no transmisibles, como diabetes, cáncer, hipertensión y enfermedades cardiovasculares (5). Como ejemplo, la diabetes en Chile causó 3.426 muertes en el año 2014 y su prevalencia en personas mayores de 15 años alcanza al 10%, mientras que la prevalencia de hipertensión llega al 28% y al 27% las enfermedades cardiovasculares (5). El gasto público total relacionado con obesidad en Chile es de un 3%, lo que equivale al 0,5% del Producto Interno Bruto (PIB) chileno, equivalente a 455 mil millones de pesos anuales (6,7). RESUMEN DE LOS HALLAZGOS: A partir de la metodología descrita anteriormente, se identificaron inicialmente 466 revisiones sistemáticas. De estas, se excluyeron 450 por disenso o duplicados y se incluyeron finalmente 16 revisiones sistemáticas (RS) (17­32) publicadas entre 2010 y 2020. A los estudios primarios evaluados por estas RS se le aplicaron los mismos criterios de inclusión y exclusión presentados en el recuadro de metodología. Del total de estudios incluidos por las RS, 51 estudios primarios reportados en 54 referencias (33­86) evaluaron los efectos de los impuestos en el consumo de bebidas azucaradas. Una vez evaluado el diseño y la metodología de los estudios primarios identificados, 29 estudios fueron excluidos del análisis dado que no cumplían con los criterios EPOC para estimar el efecto de la intervención (87). Cuatro estudios eran transversales (43,48,53,56), 19 estudios eran de modelamiento (33­35,37­42,44­46,49,51,52,55,57,59,60,84,85) y 6 estudios no contaban con los suficientes puntos de datos (data points) o no identificaban claramente la fecha de la intervención como para poder incorporarlos en el análisis (36,50,54,58,61,82). Los estudios transversales se excluyeron dado que es difícil atribuir causalidad a los resultados provenientes de ellos (87) y en el caso de los estudios de modelación, se consideró que frente a la disponibilidad de evidencia directa, la inclusión de este tipo de estudios -que "predice" la evidencia- no aplicaría (88). Con estos criterios, se consideraron finalmente 22 estudios primarios (47,62­81,83,86), de los cuales 3 son ensayos controlados aleatorizados (ECAs)(68,70,72) y 19 corresponden a estudios observacionales (principalmente series de tiempo interrumpido y antes-después controlados)(47,62­67,69,71,73­81,83,86). El diseño original de dos de los estudios evaluados corresponde a un ensayo aleatorizado (83,86), sin embargo, los estudios evaluaron más de una intervención y su aleatorización no fue de acuerdo a la exposición o no a impuestos, por lo que para este informe se les ha considerado como estudios observacionales. Los hallazgos aquí presentados se han separado de acuerdo a tipo de outcome, diseño de estudio, y país, estado o ciudad donde se aplicó el impuesto. Cada hallazgo contiene además una tabla resumen con los resultados, mostrando la certeza en la evidencia de cada uno de los desenlaces encontrados. CONSIDERACIONES DE IMPLEMENTACIÓN: Para el análisis de las consideraciones de implementación, durante la selección de títulos, resúmenes y texto completo de esta síntesis, se realizó una selección de revisiones sistemáticas que pudieran entregar antecedentes para el análisis de la aplicabilidad de la evidencia al contexto local, consideraciones económicas, equidad y de monitoreo y evaluación. Además, se realizaron búsquedas complementarias de antecedentes nacionales. Consideraciones de Aplicabilidad: La evidencia analizada se basa en 3 ensayos controlados aleatorizados realizados en los Países Bajos y Estados Unidos y de 16 estudios observacionales (diseño de series de tiempo interrumpido o antes-después controlado) provenientes de 6 países donde efectivamente se aplicó un impuesto sobre las bebidas azucaradas (Chile, España, Francia, México, Reino Unido y Estados Unidos). En algunos casos el impuesto se aplicó a un estado o comunidad autónoma, mientras que en otros, se aplicó en todo el país. Esta síntesis de evidencia consideró como desenlace prioritario el consumo de bebidas azucaradas, lo que fue evaluado a través de la ingesta o de manera indirecta a través de las compras y ventas de este tipo de bebidas. No fue priorizado el impacto del impuesto sobre el estado de salud de las personas, entendido como sobrepeso, obesidad o enfermedades cardiovasculares, dado que el desarrollo de éstos es multifactorial y el efecto percibido de los impuestos podría estar sujeto a otros factores que aportan confusión, a juicio del solicitante. La unidad de análisis de los estudios seleccionados fueron adolescentes, personas adultas, hogares o población general, y ventas o compras en supermercados o tiendas. Consideraciones Económicas: Se ha descrito que los impuestos en alimentos y bebidas altos en nutrientes críticos podrían mostrar elasticidad-precio negativa en su consumo, lo que significa que la compra y consumo de estos disminuye en función al aumento de su precio (20,21). Al respecto, los estudios chilenos (67,69) no detectaron cambios importantes en el precio de las bebidas azucaradas tras la aplicación del impuesto. Una de las explicaciones de esto es que los fabricantes reaccionaron estratégicamente para absorber total o parcialmente la carga tributaria adicional, evitando que se transfiriera el impuesto al precio final de las bebidas azucaradas o que compensaron el aumento del precio con aquellas bebidas en las que se redujo dicho impuesto. Consideraciones de Equidad: Se debe tener en cuenta si la propuesta de gravamen tendrá un impacto en restricciones de libertad de selección de productos o si aumentará inequidades, afectando de forma desproporcionadas a algunos grupos. Se ha descrito que los impuestos a alimentos y bebidas podrían tener un efecto diferenciado por nivel socioeconómico (NSE), ya que frente a un aumento en el precio, es más probable que las personas de menores ingresos disminuyan el consumo de bienes no esenciales (17). Sin embargo, en el caso de Chile se reportó el efecto contrario. Nakamura et al., 2018 reportó que la magnitud de la reducción de bebidas compradas con impuestos altos fue mayor para el grupo de NSE alto que para el grupo de NSE medio y estadísticamente insignificante para el grupo de NSE bajo (69). Del mismo modo, Caro et al., 2018 encontró que los hogares con un NSE alto tuvieron una mayor disminución en el volumen de compras de bebidas altas en azúcar (−6,4%) que los hogares con un NSE bajo (−1,6%), en relación con sus respectivos contrafactuales (67). Consideraciones de Monitoreo y Evaluación: Chile ya tiene experiencia con la implementación innovadora de impuestos a bebidas azucaradas (67,69), por lo que es crucial identificar cuáles han sido y siguen siendo los facilitadores, barreras y contratiempos que se identificaron en este proceso. Así mismo, y como lo plantea Caro et al (67) junto con Nakamura et al. (69), se recomienda efectuar evaluaciones a corto, mediano y largo plazo, desde el comienzo de la ejecución de los impuestos, idealmente, incluyendo un grupo control para las comparaciones. Para poder evaluar de mejor forma los efectos de los impuestos de bebidas azucaradas, es importante diseñar un plan de monitoreo integral de la implementación de los impuestos, en todas sus etapas. La evaluación de los impuestos debe contemplar datos diagnósticos o línea base del consumo de los líquidos que serán gravados y mediciones de seguimiento post implementación (10,101).