Beverage Categories Research Articles

Leaching and In Vivo Bioavailability of Antimony in PET Bottled Beverages.

Antimony (Sb) may leach from polyethylene terephthalate (PET) materials into bottled water under improper storage conditions, particularly at high temperatures, leading to potential Sb chronic exposure and adverse health effects. However, Sb leaching may be promoted by various beverage constituents, which has received limited attention to date. In addition, few studies have considered Sb bioavailability in beverages and the influence of the beverage matrix on Sb bioavailability. In this study, PET-bottled beverages (n = 50) covering six categories (namely, carbonated, fruit juices, tea, sports, protein, and coffee beverages) were explored. Antimony leaching was assessed following the incubation of beverages at 60 °C for 7 days, which resulted in Sb concentrations 1.10-10.9 times greater than concentrations observed pre-incubation. Although regulatory standards vary internationally, a total of 21 beverages exceeded the Japanese Sb drinking water standard of 2 μg/L (up to 4.08 ± 0.11 μg/L) following incubation at 60 °C. pH significantly influenced Sb leaching (r = -0.38, p = 0.007) with beverages displaying lower pH (e.g., carbonated drinks) exhibiting higher Sb concentrations. An in vivo mouse model, using the liver as the biological endpoint, was adopted to assess Sb relative bioavailability (RBA) in bottled beverages. Sb RBA ranged from 1.97-58.7% with coffee beverages exhibiting the lowest Sb RBA (1.97-13.7%) and protein drinks the highest (41.1-58.7%). Linear regression revealed that Sb RBA in beverages was negatively influenced by Fe (r = -0.69, p = 0.02) and P (r = -0.73, p = 0.01) concentrations but positively correlated with tartaric acid (r = 0.59, p = 0.02). When an exposure assessment was undertaken using data generated in this study, carbonated and protein-rich beverages exhibited a higher exposure risk due to elevated Sb leaching and high Sb RBA compared to other beverage categories.

124 Fundamentals of Distilled Beverages: Spirits and Their Raw Materials

Abstract Distilling the alcoholic beverage category down, sugar + yeast = ethanol. However, the manufacturing processes for these beverages are complex and unique. Utilizing a myriad of raw material inputs to produce numerous outputs is no small feat. This presentation will provide an overview of the distilled beverage landscape and will discuss some of the key product types, substrates, ancillary ingredients, and their manufacturing processes. On a fundamental level, we will also consider what by-products are created during the process of making these beloved liquids and how that might relate back to the animal industry.

Examination of Consumption Expenditure Distribution among NUTS-2 Regions in 2007-2018 with GINI Coefficient

In this study, the distribution of 12 main expenditure categories included in the consumer price index (CPI) among NUTS-2 (Nomenclature of Territorial Units for Statistics-2) regions is examined. The study covers the years 2007-2018. In the study, interregional consumption expenditure rates are identified with the Gini coefficient, which is a measure of inequality and the obtained consumption expenditure rates through the years are interpreted. The coefficients calculated for each expenditure category are important in terms of revealing the course of consumption behavior of households in Turkey over the years and reflecting the best and worst distribution at the NUTS-2 level. Findings regarding the expenditure categories show that the consumption behavior in Turkey in the relevant period is far from equal at the regional level. According to the findings, the expenditure category with the highest inequality at the NUTS-2 level is the food and non-alcoholic beverages category with an average Gini coefficient of 0.3031. The expenditure category with the highest equal distribution, on the other hand, is the education category with a Gini coefficient of 0.2307 according to the findings.

Preliminary Study of Chemistry Knowledge Through Ethnochemistry Approaches to Communities

This research was a descriptive qualitative study using ethnographic methods. It aimed to determine the understanding and application of chemistry knowledge in the daily lives of Wiapore society, Marawola Barat district, through an ethnochemistry approach. Data obtained was in the form of an initial data inventory. These inventory data were then grouped into several data categories, namely categories related to food, beverage, and agriculture categories. The percentage value of each data was as follows, related to food 55.55%, related to drinks were 22.22%, and connected to agriculture were 22.22%. The results of this study are significant for local governments in taking policies relating to education for children and the Wiapore community

Using partial least squares to identify a dietary pattern associated with obesity in a nationally-representative sample of Canadian adults: Results from the Canadian Community Health Survey-Nutrition 2015.

Hybrid methods of dietary patterns analysis have emerged as a unique and informative way to study diet-disease relationships in nutritional epidemiology research. To identify an obesogenic dietary pattern using weighted partial least squares (wPLS) in nationally representative Canadian survey data, and to identify key foods and/or beverages associated with the defined dietary pattern. Data from one 24-hr dietary recall data from the cross-sectional Canadian Community Health Survey-Nutrition (CCHS) 2015 (n = 12,049) were used. wPLS was used to identify an obesogenic dietary pattern from 40 standardized food and beverage categories using the variables energy density, fibre density, and total fat as outcomes. The association between the derived dietary pattern and likelihood of obesity was examined using weighted multivariate logistic regression. Key dietary components highly associated with the derived pattern were identified. Compared to quartile one (i.e. those least adherent to an obesogenic dietary pattern), those in quartile four had 2.40-fold increased odds of being obese (OR = 2.40, 95% CI = 1.91, 3.02, P-trend< 0.0001) with a monotonically increasing trend. Using a factor loading significance cut-off of ≥|0.17|, three food/beverage categories loaded positively for the derived obesogenic dietary pattern: fast food (+0.32), carbonated drinks (including energy drinks, sports drinks and vitamin water) (+0.30), and salty snacks (+0.19). Seven categories loaded negatively (i.e. in the protective direction): whole fruits (-0.40), orange vegetables (-0.32), "other" vegetables (-0.32), whole grains (-0.26), dark green vegetables (-0.22), legumes and soy (-0.18) and pasta and rice (-0.17). This is the first study to apply weighted partial least squares to CCHS 2015 data to derive a dietary pattern associated with obesity. The results from this study pinpoint key dietary components that are associated with obesity and consumed among a nationally representative sample of Canadians adults.

Updated Database and Trends of Declared Low- and No-Calorie Sweeteners From Foods and Beverages Marketed in Spain.

Background: The past few years have witnessed an increase in the availability of food products containing one or more low- and no-calorie sweeteners (LNCS) in the Spanish market, mostly due to the new massive reformulation plan. However, these are not included in food composition tables or databases, and, therefore, assessment of their intake among the population is complex. This study aims to update a database including commercialized foods and beverages.Method: A systematic search of ingredients information from the different food and beverage categories was undertaken during 2019 by recording the availability and type of LNCS declared in the information of the product from labels and online shopping platforms of retailers from Spain to update a previous food composition database compiled in 2017.Results: A total of 1,238 products were identified. The major groups were sugar and sweets (24%), non-alcoholic beverages (21%), cereals and grains (19%), and milk and dairy products (14%) accounting for >70% of total products. The mainly declared LNCS were sorbitol (19.5%), sucralose (19.5%), and acesulfame K (19.2%).Conclusion: There is a wide variety of products that include LNCS as a main ingredient with higher availability than when compared with the results of database of 2017, consequently, it might be expected that LNCS are commonly consumed at present in the Spanish diet.

Oat and Barley in the Food Supply and Use of Beta Glucan Health Claims.

Beta glucan is a type of soluble dietary fibre found in oats and barley with known cholesterol-lowering benefits. Many countries globally have an approved beta glucan health claim related to lowering blood cholesterol, an important biomarker for cardiovascular disease. However, the use of these claims has not been examined. The aim of this study was to explore the range and variety of oat and barley products in the Australian and global market within a defined range of grain food and beverage categories and examine the frequency of beta glucan health claims. Australian data were collected via a recognised nutrition audit process from the four major Australian supermarkets in metropolitan Sydney (January 2018 and September 2020) and Mintel Global New Product Database was used for global markets where a claim is permitted. Categories included breakfast cereals, bread, savoury biscuits, grain-based muesli bars, flour, noodles/pasta and plant-based milk alternatives and information collected included ingredients lists and nutrition and health claims. Products from Australia (n = 2462) and globally (n = 44,894) were examined. In Australia, 37 products (1.5%) made use of the beta glucan claim (84% related to oat beta glucan and 16% related to barley beta glucan, specifically BARLEYmax®). Of products launched globally, 0.9% (n = 403) displayed beta glucan cholesterol-lowering claims. Despite the number of products potentially eligible to make beta glucan claims, their use in Australia and globally is limited. The value of dietary modification in cardiovascular disease treatment and disease progression deserves greater focus, and health claims are an opportunity to assist in communicating the role of food in the management of health and disease. Further assessment of consumer understanding of the available claims would be of value.

Recreational cannabis legalization and alcohol purchasing: a difference-in-differences analysis

BackgroundWhether recreational cannabis legalization is associated with changes in alcohol consumption (suggesting a potential substitution or complementary relationship) is a key question as cannabis policy evolves, particularly given the adverse health and social effects of alcohol use. Relatively little research has explored this question.MethodsThis study examined the association between recreational cannabis legalization and alcohol purchasing in the USA using an interrupted time series design. We used data from the Nielsen Consumer Panel (2004–2017) from 69,761 households in all 50 states to calculate monthly milliliters of pure ethanol purchased for four beverage categories (beer, wine, spirits, and all alcohol products). We used difference-in-differences models and robust cluster standard errors to compare changes in milliliters of pure ethanol purchased. We fit models for each beverage category, comparing three “policy” states that have legalized recreational cannabis (Colorado, Oregon, and Washington) to states that had not legalized recreational cannabis. In one set of models, a single control state was selected that matched pre-policy purchasing trends in the policy states. In another set, policy states were compared to all states that had not legalized recreational cannabis.ResultsCompared to all other states that did not legalize recreational cannabis, Colorado households showed a 13% average monthly decrease in purchases of all alcoholic products combined (estimate, 0.87; CI, 0.77, 0.98) and a 6% decrease in wine (0.94; CI, 0.89, 0.99). Estimates in Washington were suggestive of an increase in spirits purchased in both the unrestricted (1.24; CI, 1.12, 1.37) and restricted sample (1.18; CI, 1.02, 1.36). Oregon showed a significant decrease in monthly spirits purchased when compared to its selected comparator state (0.87; CI, 0.77, 0.99) and to all other states without legalized recreational cannabis (0.85; CI, 0.77, 0.95).ConclusionsResults suggest that alcohol and cannabis are not clearly substitutes nor complements to one-another. Future studies should examine additional states as more time passes and more post-legalization data becomes available, use cannabis purchase data and consider additional methods for control selection in quasi-experimental studies.

Recreational Cannabis Legalization and Alcohol Purchasing: A Difference-in-Differences Analysis

Background: Whether recreational cannabis legalization is associated with changes in alcohol consumption (suggesting a potential substitution or complementary relationship) is a key question as cannabis policy evolves, particularly given the adverse health and social effects of alcohol use. Relatively little research has explored this question. Methods: This study examined the association between recreational cannabis legalization and alcohol purchasing in the U.S. using an interrupted time series design. We used data from the Nielsen Consumer Panel (2004-2017) from 69,761 households in all 50 states to calculate monthly milliliters of pure ethanol purchased for four beverage categories (beer, wine, spirits, and all alcohol products). We used difference-in-differences models and robust cluster standard errors to compare changes in milliliters of pure ethanol purchased. We fit models for each beverage category, comparing three “policy” states that have legalized recreational cannabis (Colorado, Oregon, and Washington) to states that had not legalized recreational cannabis. In one set of models, a single control state was selected that matched pre-policy purchasing trends in the policy states. In another set, policy states were compared to all states that had not legalized recreational cannabis. Results: Compared to all other states that did not legalize recreational cannabis, Colorado households showed a 13% average monthly decrease in purchases of all alcoholic products combined (estimate: 0.87; CI: 0.77, 0.98) and a 6% decrease in wine (0.94; CI: 0.89, 0.99). Estimates in Washington were suggestive of an increase in spirits purchased in both the unrestricted (1.24; CI: 1.12, 1.37) and restricted sample (1.18; CI: 1.02, 1.36). Oregon showed a significant decrease in monthly spirits purchased when compared to its selected comparator state (0.87; CI: 0.77, 0.99) and to all other states without legalized recreational cannabis (0.85; CI: 0.77, 0.95). Conclusions: Results suggest that alcohol and cannabis are not clearly substitutes nor complements to one-another. Future studies should examine additional states as more time passes and more post-legalization data becomes available, use cannabis purchase data and consider additional methods for control selection in quasi-experimental studies.

Is competition among soft drinks, juices, and other major beverage categories responsible for reducing Americans' milk consumption?

AbstractUS per capita milk consumption has been falling since the 1940s and falling at an accelerated rate in recent years. One possible reason is competition between it and other types of beverages. In this study, we determine whether changes in beverage prices are in a direction and of a sufficient magnitude for consumption trends to be explained by price competition between milk and other beverages. They are not. We also estimate a vector autoregressive model using data on households' average weekly purchases of milk and four other, major beverage categories for a very general test of whether any increase in sales of those other beverages would come at milk's expense. Results again suggest that competition between milk and the identified other major beverages is not responsible for milk's accelerated decline, and there is a need for the research community to investigate other possible explanations. [EconLit Citations: D12, Q11, Q18].

Characterization of the Fermentation and Sensory Profiles of Novel Yeast-Fermented Acid Whey Beverages.

Acid whey is a by-product generated in large quantities during dairy processing, and is characterized by its low pH and high chemical oxygen demand. Due to a lack of reliable disposal pathways, acid whey currently presents a major sustainability challenge to the dairy industry. The study presented in this paper proposes a solution to this issue by transforming yogurt acid whey (YAW) into potentially palatable and marketable beverages through yeast fermentation. In this study, five prototypes were developed and fermented by Kluyveromyces marxianus, Brettanomyces bruxellensis, Brettanomyces claussenii, Saccharomyces cerevisiae (strain: Hornindal kveik), and IOC Be Fruits (IOCBF) S. cerevisiae, respectively. Their fermentation profiles were characterized by changes in density, pH, cell count, and concentrations of ethanol and organic acids. The prototypes were also evaluated on 26 sensory attributes, which were generated through a training session with 14 participants. While S. cerevisiae (IOCBF) underwent the fastest fermentation (8 days) and B. claussenii the slowest (21 days), K. marxianus and S. cerevisiae (Hornindal kveik) showed similar fermentation rates, finishing on day 20. The change in pH of the fermentate was similar for all five strains (from around 4.45 to between 4.25 and 4.31). Cell counts remained stable throughout the fermentation for all five strains (at around 6 log colony-forming units (CFU)/mL) except in the case of S. cerevisiae (Hornindal kveik), which ultimately decreased by 1.63 log CFU/mL. B. bruxellensis was the only strain unable to utilize all of the sugars in the substrate, with residual galactose remaining after fermentation. While both S. cerevisiae (IOCBF)- and B. claussenii-fermented samples were characterized by a fruity apple aroma, the former also had an aroma characteristic of lactic acid, dairy products, bakeries and yeast. A chemical odor characteristic of petroleum, gasoline or solvents, was perceived in samples fermented by B. bruxellensis and K. marxianus. An aroma of poorly aged or rancid cheese or milk also resulted from B. bruxellensis fermentation. In terms of appearance and mouthfeel, the S. cerevisiae (IOCBF)-fermented sample was rated the cloudiest, with the heaviest body. This study provides a toolkit for product development in a potential dairy-based category of fermented alcoholic beverages, which can increase revenue for the dairy industry by upcycling the common waste product YAW.

Abstract MP54: Retail Soda Purchases Decrease And Water Purchases Increase After Six Years Of A Healthy Beverage Campaign

Introduction: Sugary drink consumption is a major risk factor for excess weight gain. In 2013, Howard County, MD launched a multi-component campaign to decrease sugary drink consumption. A previously published difference-in-differences (DID) analysis of supermarket retail beverage sales from 2012 (baseline) to 2015 documented a significant decrease in regular soda and fruit drinks sales in intervention stores compared to matched control stores. The present study extends this evaluation through 2018. Hypothesis: Sugary drink sales will continue to decrease and sales of non-sugary drinks will increase through 2018. Methods: Prior to the intervention, a retail sales tracking company identified a sample of supermarkets (N=15) in Howard County (Intervention stores) and assessed 52-weeks of top brand sales for each beverage category. These data were used to identify a set of matched Control stores (N=17) in an adjacent state. DID analyses were used to compare the weekly volume sales of each product (brand and package size) within each beverage category in the Intervention and Control stores from baseline (2012) to Year 6 (2018). Models were adjusted for relevant variables, including average price/ounce; average competitor price/ounce; and weekly local temperature. Results: DID analyses identified a significantly larger net decrease in average weekly volume sales of regular soda, fruit drinks, and 100% juice in the Intervention stores compared to the Control stores over six years (p &lt; .001). See Figure for regular soda sales. After 2015, intervention stores also exhibited significant increases in sales of plain bottled water (p &lt; .0001) and carbonated water (p &lt; .001). In contrast, sports drinks, diet soda, and flavored waters did not consistently differ between conditions. Conclusion: A locally implemented, multi-component campaign reduced regular soda and fruit drink sales over six years. Additional efforts to reduce sales of sports drinks are warranted.

Taxed and untaxed beverage intake by South African young adults after a national sugar-sweetened beverage tax: A before-and-after study.

In an effort to prevent and reduce the prevalence rate of people with obesity and diabetes, South Africa implemented a sugar-content-based tax called the Health Promotion Levy in April 2018, one of the first sugar-sweetened beverage (SSB) taxes to be based on each gram of sugar (beyond 4 g/100 ml). This before-and-after study estimated changes in taxed and untaxed beverage intake 1 year after the tax, examining separately, to our knowledge for the first time, the role of reformulation distinct from behavioral changes in SSB intake. We collected single-day 24-hour dietary recalls from repeat cross-sectional surveys of adults aged 18-39 years in Langa, South Africa. Participants were recruited in February-March 2018 (pre-tax, n = 2,459) and February-March 2019 (post-tax, n = 2,489) using door-to-door sampling. We developed time-specific food composition tables (FCTs) for South African beverages before and after the tax, linked with the diet recalls. By linking pre-tax FCTs only to dietary intake data collected in the pre-tax and post-tax periods, we calculated changes in beverage intake due to behavioral change, assuming no reformulation. Next, we repeated the analysis using an updated FCT in the post-tax period to capture the marginal effect of reformulation. We estimated beverage intake using a 2-part model that takes into consideration the biases in using ordinary least squares or other continuous variable approaches with many individuals with zero intake. First, a probit model was used to estimate the probability of consuming the specific beverage category. Then, conditional on a positive outcome, a generalized linear model with a log-link was used to estimate the continuous amount of beverage consumed. Among taxed beverages, sugar intake decreased significantly (p < 0.0001) from 28.8 g/capita/day (95% CI 27.3-30.4) pre-tax to 19.8 (95% CI 18.5-21.1) post-tax. Energy intake decreased (p < 0.0001) from 121 kcal/capita/day (95% CI 114-127) pre-tax to 82 (95% CI 76-87) post-tax. Volume intake decreased (p < 0.0001) from 315 ml/capita/day (95% CI 297-332) pre-tax to 198 (95% CI 185-211) post-tax. Among untaxed beverages, sugar intake increased (p < 0.0001) by 5.3 g/capita/day (95% CI 3.7 to 6.9), and energy intake increased (p < 0.0001) by 29 kcal/capita/day (95% CI 19 to 39). Among total beverages, sugar intake decreased significantly (p = 0.004) by 3.7 (95% CI -6.2 to -1.2) g/capita/day. Behavioral change accounted for reductions of 24% in energy, 22% in sugar, and 23% in volume, while reformulation accounted for additional reductions of 8% in energy, 9% in sugar, and 14% in volume from taxed beverages. The key limitations of this study are an inability to make causal claims due to repeat cross-sectional data collection, and that the magnitude of reduction in taxed beverage intake may not be generalizable to higher income populations. Using a large sample of a high-consuming, low-income population, we found large reductions in taxed beverage intake, separating the components of behavioral change from reformulation. This reduction was partially compensated by an increase in sugar and energy from untaxed beverages. Because policies such as taxes can incentivize reformulation, our use of an up-to-date FCT that reflects a rapidly changing food supply is novel and important for evaluating policy effects on intake.

Connected and consuming: applying a deep learning algorithm to quantify alcoholic beverage prevalence in user-generated instagram images

Determining the prevalence of alcohol-related content on social media is important to guide education initiatives and interventions in this space. We aimed to assess the performance of the pre-developed alcoholic beverage identification deep learning algorithm (ABDILA) to automatically quantify alcoholic beverage prevalence in user-generated Instagram images. 6,121 images were gathered from Instagram using ‘Splendour in the Grass’ related hashtags, an Australian music festival. These images were manually annotated as containing beer, champagne, wine, or anything else. The images were subsequently run through ABIDLA, which made predictions on their same categorical contents. We then assessed overall model accuracy (relative to human annotations), model accuracy of alcohol-containing images (overall accuracy and across beverage categories), and visually inspected images to extract common features of congruent- or mis-categorisations. While overall accuracy was high, congruent classifications were heavily skewed towards non-alcohol images. The algorithm consistently overestimated the number of images containing alcoholic beverages, and inspection revealed that these false positives were largely driven by image context and colour. While such algorithms show early promise as a rough automated estimation tools for large datasets on social media, this study highlights some critical improvements and directions for applying pre-trained algorithms in this space.

A detailed mapping of the food industry in the European single market: similarities and differences in market structure across countries and sectors

BackgroundFood environments are influenced by food industries (packaged food and non-alcoholic beverage manufacturers; supermarkets and quick service restaurants). An important source of this influence is the significant market power held by a limited number of food companies. Market structure analysis, as part of a broader market power research agenda, has received limited attention from the public health community. The aim of this study was to analyse similarities and differences in market structure across countries and industries in the European Single Market.MethodsThe companies with the largest market share at the national level for each industry were identified from Euromonitor sales data in 2017/18. The market structure was assessed by the following metrics: the number of global brand owners with ≥1% market share per country, the number of companies unique for one European Single Market member state, the most sold packaged food and non-alcoholic beverage categories, the number of quick-service restaurants and supermarkets per 1000 inhabitants and market concentration by means of the Herfindahl-Hirschman Index (HHI) and the four firm concentration ratio (CR4). CR4-values > 40% and HHI-values > 2000 indicate concentrated markets with limited competition.ResultsThe leading packaged food and non-alcoholic beverage manufacturers and the most sold food and beverage product categories were similar across countries in Europe. The observed levels of concentration were however different. Average CR4-values ranged from 21 to 72% among packaged food product markets and 60 to 76% for non-alcoholic beverage product markets. Average CR4-values for quick service restaurants and supermarkets were 50 and 60%, respectively. Across European countries the same leading quick-service restaurants were identified, while this was not the case for supermarkets.ConclusionsThis study forms an important basis to understand key aspects of market structure of the European food industry, observing clear differences between food industries and European Single Market member states. This has potential implications for the implementation of food environment policies at different levels of jurisdiction.

The effect of on-shelf sugar labeling on beverage sales in the supermarket: a comparative interrupted time series analysis of a natural experiment

BackgroundNutrition labels show potential in increasing healthy food and beverage purchases, but their effectiveness seems to depend on the type of label, the targeted food category and the setting, and evidence on their impact in real-world settings is limited. The aim of this study was to evaluate the effectiveness of an industry-designed on-shelf sugar label on the sales of beverages with no, low, medium and high sugar content implemented within a real-world supermarket.MethodsIn week 17 of 2019, on-shelf sugar labels were implemented by a Dutch supermarket chain. Non-alcoholic beverages were classified using a traffic-light labeling system and included the beverage categories “green” for sugar free (< 1.25 g/250 ml), “blue” for low sugar (1.25–6.24 g/250 ml), “yellow” for medium sugar (6.25–13.5 g/250 ml) and “amber” for high sugar (> 13.5 g/250 ml). Store-level data on beverage sales and revenue from 41 randomly selected supermarkets for 13 weeks pre-implementation and 21 weeks post-implementation were used for analysis. In total, 30 stores implemented the on-shelf sugar labels by week 17, and the 11 stores that had not were used as comparisons. Outcome measures were differences in the number of beverages sold in the four label categories and the total revenue from beverage sales in implementation stores relative to comparison stores. Analyses were conducted using a multiple-group Interrupted Time Series Approach. Results of individual store data were combined using random effect meta-analyses.ResultsAt the end of the intervention period, the changes in sales of beverages with green (B 3.4, 95%CI -0.3; 7.0), blue (B 0.0, 95%CI -0.6; 0.7), yellow (B 1.3, 95%CI -0.9; 3.5), and amber (B 0.9, 95%CI -5.5; 7.3) labels were not significantly different between intervention and comparison stores. The changes in total revenues for beverages at the end of the intervention period were also not significantly different between intervention and comparison stores.ConclusionThe implementation of an on-shelf sugar labeling system did not significantly decrease unhealthy beverage sales or significantly increase healthier beverage sales. Nutrition labeling initiatives combined with complementary strategies, such as pricing strategies or other healthy food nudging approaches, should be considered to promote healthier beverage purchases.

Evaluating the impact of minimum unit pricing (MUP) on off-trade alcohol sales in Scotland: an interrupted time-series study.

On 1 May 2018, Scotland became the first country in the world to introduce minimum unit pricing (MUP), a strength-based floor price below which alcohol cannot be sold, across all alcoholic beverages. The legislation contains a sunset clause meaning a comprehensive mixed-methods evaluation of its impact across a range of outcomes will inform whether it will continue beyond its sixth year. In this study, we assessed the impact of MUP on off-trade alcohol sales (as a proxy for consumption) after its first year. Controlled interrupted time-series regression was used to assess the impact of MUP on alcohol sales among off-trade retailers in Scotland in the year after it was introduced, with England and Wales (EW) being the control group. In adjusted analyses, we included household disposable income, on-trade alcohol sales and substitution between beverage categories as covariates. Weekly data on the volume of pure alcohol sold by off-trade retailers in Scotland and EW between January 2013 and May 2019, expressed as litres of pure alcohol per adult. The introduction of MUP in Scotland was associated with a 3.5% [95% confidence interval (CI)=2.2-4.9%] reduction in off-trade alcohol sales per adult after adjustment for the best available geographical control, disposable income and substitution. In unadjusted analysis, the introduction of MUP was associated with a 2.0% (95% CI=0.4-3.6%) reduction in off-trade alcohol sales per adult in Scotland. In EW, there was a 2.4% (95% CI=0.8-4.0%) increase during the same time-period. The reduction in off-trade alcohol sales in Scotland was driven by reduced sales of spirits, cider and perry beverage categories. The implementation of minimum unit pricing for alcohol in Scotland in 2018 appears to have been associated with a reduction in off-trade alcohol sales after its first year.

Industry Payments to Pain Medicine Physicians: An Analysis of the Centers for Medicare and Medicaid Services Open Payments Program.

To analyze industry payments to pain medicine physicians in the United States. Retrospective cohort study using publicly available databases. The study includes U.S. pain medicine physicians (PMPs) with reports in the Open Payments program from 2013 to 2018. The Centers for Medicare and Medicaid Services Open Payments program was analyzed for general, investment, and ownership payments to PMPs reported from 2013 to 2018. The nature, type, and geographic variation of payments were analyzed. The main findings of the study are as follows: 1) Payments made to PMPs constituted a small proportion of the payments made to all physicians in the United States, and the number of transactions and the total dollar amount seem to have decreased from 2016 to 2018. 2) The median number of payments among physicians with reported payments was around 4 (interquartile range: 18), and the majority of them were under $20. 3) The majority of payments were for in-kind items and services (85%) and were made for food and beverages (91%), travel and lodging (5.5%). 4) Some of the ownership and investment interest payments exceeded $500,000. 5) The top five drugs associated with physician payments included medications with opioids. 6) A very small minority of payments were made for entertainment or gifts. 7) A third of PMPs with reports had payments reported under more than one taxonomy. Overall payments made to PMPs seem to be decreasing since 2016. The majority of the payments are made for the food, beverage, and travel categories. Public and physician awareness of the Open Payments system reports is essential to promote transparency and to minimize adverse effects of financial relationships on patient care.

Hunger for Home Delivery: Cross-Sectional Analysis of the Nutritional Quality of Complete Menus on an Online Food Delivery Platform in Australia.

Online food delivery (OFD) platforms have changed how consumers purchase food prepared outside of home by capitalising on convenience and smartphone technology. Independent food outlets encompass a substantial proportion of partnering outlets, but their offerings’ nutritional quality is understudied. Little is also known as to how OFD platforms influence consumer choice. This study evaluated the nutritional quality and marketing attributes of offerings from independent takeaway outlets available on Sydney’s market-leading OFD platform (UberEats®). Complete menus and marketing attributes from 202 popular outlets were collected using web scraping. All 13841 menu items were classified into 38 food and beverage categories based on the Australian Dietary Guidelines. Of complete menus, 80.5% (11,139/13,841) were discretionary and 42.3% (5849/13,841) were discretionary cereal-based mixed meals, the largest of the 38 categories. Discretionary menu items were more likely to be categorised as most popular (OR: 2.5, 95% CI 1.9–3.2), accompanied by an image (OR: 1.3, 95% CI 1.2–1.5) and offered as a value bundle (OR: 6.5, 95% CI 4.8–8.9). Two of the three discretionary food categories were more expensive than their healthier Five Food Group counterparts (p < 0.02). The ubiquity of discretionary choices offered by independent takeaways and the marketing attributes employed by OFD platforms has implications for public health policy. Further research on the contribution of discretionary choices and marketing attributes to nutritional intakes is warranted.

Involvement of bilateral insula in brand extension evaluation: an fMRI study

The present study aims to investigate functional involvement of brain areas in consumers’ evaluation of brand extension that refers to the use of well-established brand for launching new offerings. During functional magnetic resonance imaging (fMRI) scanning, participants viewed a beverage brand name followed by an extension goods name selected from the beverage or household appliance categories. They responded acceptability to given brand extension. Both acceptability responses and reaction time revealed a noticeable pattern that participants responded to acceptable stimuli more carefully. General linear model (GLM) analyses revealed the involvement of insular activity in brand extension evaluation. Especially, insular activity was lateralized according to valence. Furthermore, its activity could explain behavioral response in parametric modulation model. According to these results, we speculate that insula activity is relevant to emotional processing. Finally, we divided neural activities during brand extension into separated clusters using a hierarchical clustering-based connectivity analysis. Excluding two of them related to sensorimotor functions for behavioral responses, the remaining cluster, including bilateral insula, was likely to reflect brand extension assessment. Hence, we speculate that consumers’ brand extension evaluation may involve emotional processes, shown as insular activity.