Ecological Momentary Assessment of Alcohol Marketing Exposure, Alcohol Use, and Purchases Among University Students: Prospective Cohort Study.

BACKGROUND: The relationships between alcohol marketing exposure, alcohol use, and purchase have been widely studied. However, prospective studies examining the causal relationships in real-world settings using mobile health tools are limited. OBJECTIVE: We used ecological momentary assessment (EMA) to examine both the within-person- and between-person-level effects of alcohol marketing exposure on any alcohol use, amount of alcohol use, any alcohol purchase, and frequency of alcohol purchase among university students. METHODS: From January to June 2020, we conducted a prospective cohort study via EMA among university students in Hong Kong who reported current drinking. Over 14 consecutive days, each participant completed 5 fixed-interval, signal-contingent EMAs daily via a smartphone app. Each EMA asked about the number and types of alcohol marketing exposures, the amount and types of alcohol used, and whether any alcohol was purchased, all within the past 3 hours. We used 2-part models, including multilevel logistic regressions and multilevel gamma regressions, to examine if the number of alcohol marketing exposure was associated with subsequent alcohol use and alcohol purchase. RESULTS: A total of 49 students participated, with 33% (16/49) being male. The mean age was 22.6 (SD 2.6) years. They completed 2360 EMAs (completion rate: 2360/3430, 68.8%). Participants reported exposure to alcohol marketing in 5.9% (140/2360), alcohol use in 6.1% (145/2360), and alcohol purchase in 2.4% (56/2360) of all the EMAs. At the between-person level, exposure to more alcohol marketing predicted a higher likelihood of alcohol use (adjusted odd ratio [AOR]=3.51, 95% CI 1.29-9.54) and a higher likelihood of alcohol purchase (AOR=4.59, 95% CI 1.46-14.49) the following day. Exposure to more alcohol marketing did not increase the amount of alcohol use or frequency of alcohol purchases the following day in participants who used or purchased alcohol. At the within-person level, exposure to more alcohol marketing was not associated with a higher likelihood of alcohol use, amount of alcohol use, higher likelihood of alcohol purchase, or frequency of alcohol purchases the following day (all Ps>.05). Each additional exposure to alcohol marketing within 1 week predicted an increase of 0.85 alcoholic drinks consumed in the following week (adjusted B=0.85, 95% CI 0.09-1.61). On days of reporting alcohol use, the 3 measures for alcohol marketing receptivity were not associated with more alcohol use or purchase (all Ps>.05). CONCLUSIONS: By using EMA, we provided the first evidence for the effect of alcohol marketing exposure on initiating alcohol use and purchase in current-drinking university students. Our findings provide evidence of the regulation of alcohol marketing for the reduction of alcohol use and purchase among young adults.

Mechanism Linking Cigarette Pack Factors, Point-of-Sale Marketing and Individual Factors With Smoking Intention Among School-Going Adolescents.

CONTEXT: Tobacco usage accounts for one of the most preventable causes of death. OBJECTIVE: This study aimed to explore mechanisms linking cigarette pack factors, point-of-sale marketing, and individual factors (psychological reactant trait) to predict smoking intention among school-going adolescents. DESIGN, SETTING, AND PARTICIPANTS: This was a cross-sectional study conducted among 6 urban secondary schools. A pretested and validated self-administered questionnaire was used. Data analysis for structural equation modeling was done using SMART-PLS v3.2.8. MAIN OUTCOME MEASURE: The main outcome measure was to determine the direct and indirect effects of cigarette pack factors, point-of-sale marketing, and individual factors (psychological reactant trait) to predict smoking intention among school-going adolescents in a theory-based model. RESULTS: A total of 386 adolescents fulfilling the inclusion criteria participated. Pictorial warning message reactance (ß = .153, P  ≤ .001), pack receptivity of conventional pack (ß = .297, P  = .004), and psychological reactant trait (ß = .174, P  ≤ .001) were positively related to smoking intention. Pictorial warning negative affect (ß = -.153, P  = .001) was negatively related to smoking intention. The psychological reactant trait was positively related to message reactance (ß = .340, P  ≤ .001). However, recall exposure to point-of-sale marketing and pack appraisal of conventional pack was not positively related to smoking intention (ß = .038, P  = .22 and ß = -.026, P  = .39, respectively). Pictorial warning message reactance also positively mediates the relationship between psychological reactant trait and smoking intention (ß = 0.05, p = .001). The model has strong predictive power. CONCLUSION: In conclusion, cigarette pack factors and psychological reactant traits are essential in predicting smoking intention. Hence, policymakers should consider these factors in developing smoking policies.

Supplemental Nutrition Assistance Program issuance timing is associated with sugar-sweetened beverage marketing in the USA.

OBJECTIVE: Prior research has shown that there are more supermarket displays of sugar-sweetened beverages (SSB) during times when Supplemental Nutrition Assistance Program (SNAP) benefits are distributed ('issuance periods'). This may contribute to inequitable purchasing and consumption. This study examines whether SSB marketing in weekly supermarket circulars, which retailers use to advertise products, is more prevalent during issuance periods compared to non-issuance periods. DESIGN: We conducted longitudinal, difference-in-differences analyses of data extracted from weekly supermarket circulars of randomly selected SNAP-authorised retailers in six states. Analyses tested whether SSB advertisements ('ads') were more prevalent during SNAP issuance periods compared to non-issuance periods within states with distinct issuance periods (3, 5, 10 or 15 d), compared to one state with continuous benefit issuance (28 d; the 'control' state). SETTING: Weekly online supermarket circulars collected from August to September 2019 were analysed in 2021. PARTICIPANTS: The study sample included 5152 circulars from 563 SNAP-authorised retailers in the states California, Connecticut, Nebraska, New Jersey and Texas (distinct issuance period states) as well as Florida ('control' state). RESULTS: The estimated mean percentage of beverage ads classified as SSB ads during issuance days was 51·5 % compared to 48·4 % during non-issuance days (P < 0·001). In difference-in-differences analyses comparing to the 'control' state with continuous issuance, SSB ad counts were 2·9 % higher (95 % CI 1·9 %, 3·9 %) during SNAP issuance relative to non-issuance. CONCLUSIONS: SSB ads are slightly more prevalent in weekly supermarket circulars during SNAP issuance periods. Future research should explore the linkages between circular ads and SSB purchasing and consumption.

IQOS point-of-sale marketing: a comparison between Arab and Jewish neighborhoods in Israel.

BACKGROUND: Philip Morris International's IQOS, with its heatsticks (HEETS), is the heated tobacco product with the largest global market share. IQOS and/or electronic cigarettes use rate is higher among Arabs vs. Jews in Israel. This paper aims to compare IQOS point-of-sale marketing strategies, and regulatory compliance in Arab vs. Jewish neighborhoods in Israel. METHODS: We integrated data from two separate studies including a cross-sectional survey with IQOS retailers (December 2020-April 2021) and audits of points-of-sale that sold IQOS/HEETS (April 2021-July 2021) in 5 large cities in Israel, after marketing restrictions including a points-of-sale display ban and plain packaging became effective in Israel (January 2020). The survey included 69 points-of-sale (21 Arab, 48 Jewish neighborhoods) and the audits included 129 points-of-sale (48 Arab, 81 Jewish neighborhoods). Comparisons of IQOS marketing strategies between points-of-sale in Arab and Jewish neighborhoods were conducted using Chi-Square test, Fisher's exact test or Mann-Whitney test, as appropriate. Thematic analysis was used to analyze open-ended questions. RESULTS: The survey showed that most marketing strategies, such as promotions to customers, were uniform across points-of-sale in Arab and Jewish neighborhoods. The most noteworthy differences were that a higher proportion of retailers from Arab neighborhoods were invited to IQOS parties (47.6% vs. 21.7%, p < 0.05) and reported personal communication with a Philip Morris International's representative (80.0% vs. 51.2%, p < 0.05). Additionally, Philip Morris International's representatives assisted points-of-sale in both Arab and Jewish neighborhoods in implementing the display ban by providing free compliant cabinets and product placement instructions, and directly interacted with customers. The audits showed that points-of-sale in Arab neighborhoods were more compliant with the display ban (25.5% vs. 8.8%, p < 0.05), but less compliant with plain packaging (62.5% vs. 79.3%, p < 0.05). CONCLUSIONS: There were not many notable differences in IQOS marketing across points-of-sale in Arab vs. Jewish neighborhoods, but Philip Morris International utilized marketing elements of cultural significance, especially for points-of-sale in Arab neighborhoods, such as more personal communication and invitation to social events. Continuous surveillance of tobacco points-of-sale marketing and legislation compliance is needed, with a special focus on demographic/location-based differences.

Child and adolescent exposure to unhealthy food marketing across digital platforms in Canada.

BACKGROUND: Children and adolescents are exposed to a high volume of unhealthy food marketing across digital media. No previous Canadian data has estimated child exposure to food marketing across digital media platforms. This study aimed to compare the frequency, healthfulness and power of food marketing viewed by children and adolescents across all digital platforms in Canada. METHODS: For this cross-sectional study, a quota sample of 100 youth aged 6-17 years old (50 children, 50 adolescents distributed equally by sex) were recruited online and in-person in Canada in 2022. Each participant completed the WHO screen capture protocol where they were recorded using their smartphone or tablet for 30-min in an online Zoom session. Research assistants identified all instances of food marketing in the captured video footage. A content analysis of each marketing instance was then completed to examine the use of marketing techniques. Nutritional data were collected on each product viewed and healthfulness was determined using Health Canada's 2018 Nutrient Profile Model. Estimated daily and yearly exposure to food marketing was calculated using self-reported device usage data. RESULTS: 51% of youth were exposed to food marketing. On average, we estimated that children are exposed to 1.96 marketing instances/child/30-min (4067 marketing instances/child/year) and adolescents are exposed to 2.56 marketing instances/adolescent/30-min (8301 marketing instances/adolescent/year). Both children and adolescents were most exposed on social media platforms (83%), followed by mobile games (13%). Both age groups were most exposed to fast food (22% of marketing instances) compared to other food categories. Nearly 90% of all marketing instances were considered less healthy according to Health Canada's proposed 2018 Nutrient Profile Model, and youth-appealing marketing techniques such as graphic effects and music were used frequently. CONCLUSIONS: Using the WHO screen capture protocol, we were able to determine that child and adolescent exposure to the marketing of unhealthy foods across digital media platforms is likely high. Government regulation to protect these vulnerable populations from the negative effects of this marketing is warranted.

Associations between e-cigarette marketing exposure and vaping nicotine and cannabis among U.S. adults, 2021.

INTRODUCTION: Little is known about the influence of e-cigarette marketing on cannabis vaping behaviors. This study examined the associations between e-cigarette marketing exposure and nicotine and cannabis vaping among adults. METHODS: This cross-sectional study included a U.S. nationally representative sample of adults from the Wave 6 survey of the Population Assessment of Tobacco and Health Study. We used multinomial logistic regressions to examine the associations between past 30-day e-cigarette marketing exposure and past 30-day vaping behavior (sole- and dual-vaping of nicotine and cannabis) overall and stratified by age. RESULTS: Overall, 52.0 % of respondents reported e-cigarette marketing exposure, and 89.8 %, 5.6 %, 3.2 %, and 1.4 % reported no vaping, sole-nicotine vaping, sole-cannabis vaping, and dual-vaping, respectively. E-cigarette marketing exposure was associated with increased odds of reporting sole-cannabis vaping versus no vaping (adjusted risk ratio [aRR], 1.31; 95 % confidence interval [CI], 1.09-1.57) and dual-vaping versus no vaping (aRR, 1.26; 95 % CI, 1.01-1.57). This association was found among those aged 18-24 and 25-34 years. It was also associated with increased odds of reporting sole-cannabis vaping versus sole-nicotine vaping (aRR, 1.28; 95 % CI, 1.04-1.58). This association was found among those aged 18-24 years. DISCUSSION: E-cigarette marketing exposure was associated with sole-cannabis vaping and dual-vaping, not sole-nicotine vaping among U.S. adults. Such associations were mainly driven by young adults aged 18-24 and 25-34 years. Greater restrictions on tobacco marketing may have reduced the influence of e-cigarette marketing on nicotine vaping, while gaps in marketing restrictions for cannabis may contribute to e-cigarette marketing influence on cannabis vaping.

Quantifying Cigarette and e-Cigarette Marketing Exposure Among Chinese Adolescents Using Ecological Momentary Assessment.

INTRODUCTION: Addressing cigarette and e-cigarette use in China is key to reducing the global tobacco epidemic. Marketing exposure is one causal factor for adolescent smoking and e-cigarette use. Currently, China restricts cigarette and e-cigarette ads in public places and online; however, there may not be full policy compliance. We collected real-time data in the natural environment to estimate how much and where Chinese adolescents-a group susceptible to smoking and e-cigarette use-are exposed to cigarette and e-cigarette marketing to inform policy responses. AIMS AND METHODS: In June 2022, we conducted a 7-day ecological momentary assessment (EMA) study with 15-16-year-olds (n = 96) across eight Chinese cities. Participants completed up to 42 EMA surveys (six per day), sent at random intervals outside of school hours. In each survey, participants reported whether they saw (1) displays and (2) ads in the past hour (none, cigarette, e-cigarette, both) in the past hour. We also captured the source of cigarette/e-cigarette ad exposure. RESULTS: Most participants were exposed to cigarette and/or e-cigarette displays (89.6%) or ads (79.2%) more than 7 days. On average, participants reported past-hour exposure to displays 12.7 times and past-hour exposure to ads 10.8 times over the week. The most common sources of cigarette ads were public places (eg, kiosks, supermarkets); the most common sources of e-cigarette ad exposure were social media/internet or e-cigarette stores. CONCLUSIONS: Findings highlight the need to enhance enforcement of restrictions on cigarette and e-cigarette ads in public places and online in China and extend restrictions to ban displays. IMPLICATIONS: Marketing exposure is a causal factor in youth smoking and e-cigarette use. We used EMA to estimate cigarette and e-cigarette display and ad exposure among Chinese adolescents. On average, participants reported past-hour exposure to cigarette and/or e-cigarette displays 13 times and past-hour exposure to cigarette and/or e-cigarette ads 11 times more than 1 week. Most saw ads in public places and online. Results suggest strengthening implementation of China's ban on cigarette and e-cigarette ads in public places and online and banning product displays. These are policy responses that can contribute to reducing adolescent cigarette and e-cigarette uptake in China.

Neighborhood Inequities in Tobacco Product Descriptors, Washington, DC, 2018-2019.

BACKGROUND: The tobacco industry uses product descriptors to communicate reduced harm and increase appeal. This cross-sectional study assessed store-level racial, ethnic, and socioeconomic inequities in the distribution of retail tobacco product descriptors in a convenience sample of retailers in Washington, DC. METHODS: Young adults (n = 146) who did not currently use tobacco reported real-time store visits over 14 days. Trained data collectors took high-resolution photographs of all tobacco (including e-cigarette) marketing in each store (n = 96) participants visited. We coded text descriptors on tobacco product advertisements and displays into descriptor categories (eg, fruit, sweet, concept). We fit multilevel models to examine relationships between store neighborhood census tract-level racial, ethnic, and socioeconomic characteristics and tobacco product descriptors in stores. As a supplementary analysis, we used geospatial methods to model predicted patterns of descriptors at the census tract level. RESULTS: Stores located in census tracts with the highest versus lowest percentage of Black residents had a greater count of fruit, sweet or dessert, alcohol, and concept descriptors (p < .05), similar to findings from the geospatial approach. Adjusted models also indicated some inequities in stores in census tracts with higher percentages of Hispanic or Latino residents for fruit, alcohol, and concept descriptors; however, tract-level models showed opposite results for concept flavors. CONCLUSIONS: In this convenience sample, fruit, alcohol, sweet/dessert, and concept FTP descriptors were prevalent in stores in neighborhoods with more Black residents demonstrated through two analytic approaches. Surveillance using representative samples of tobacco retailers could improve the ability to track the extent of this inequity. IMPLICATIONS: We document inequities in the amount of fruit, sweet or dessert, alcohol, and concept flavor descriptors in stores across neighborhoods in Washington, DC. Federal, state, and local regulatory action is needed to reduce inequities in flavored tobacco product availability and marketing, including for concept flavors.

National survey of infant feeding bottles in Germany: Their characteristics and marketing claims.

Bottles and teats are ubiquitously used for feeding infants and young children. Yet there are limited empirical studies on the scope of infant feeding bottles, their attributes, or their marketing claims. We report the first comprehensive survey on infant feeding bottles and teats in Germany. We aimed to explore the extent of bottles and teats available in Germany, describe their physical attributes and analyze their marketing claims. A cross-sectional survey of German bottle and teat manufacturer websites was conducted between June and November 2022. Product attributes are presented with descriptive statistics and photographs. Marketing claims are summarized in a descriptive content analysis. We identified 41 brands encompassing 447 unique products (226 bottles, 221 teats). The majority of bottles were plastic (147, 65%) or glass (64, 28%), and the majority of teats were silicone (188, 85%). Most brands (38, 93%) promoted products using one or more inappropriate marketing claims, including equivalency to breastfeeding (29, 73%), idealization through technical or medical descriptions (23, 58%), claims on disease prevention (31, 78%), references to naturalness (29, 73%), infant autonomy (10, 25%), and endorsements from parents (10, 25%) or health professionals (11, 28%). The majority of bottles and teats available in Germany appear to be marketed inappropriately and hold the potential to undermine public health recommendations on infant and young child feeding. Therefore, we recommend Germany strengthens legislation on the marketing of bottles and teats in accordance with the International Code of Marketing of Breastmilk Substitutes.

Real or fake? Sourcing and marketing of non-prescribed benzodiazepines amongst two samples of people who regularly use illicit drugs in Australia.

INTRODUCTION: There is concern around non-prescribed benzodiazepine use, particularly with increasing detections of counterfeit products containing high-risk novel compounds. The aims of this study were to investigate how and which non-prescribed benzodiazepines are being sourced; forms, appearance and packaging; and awareness of risks associated with non-prescribed benzodiazepines. METHODS: Data were collected from a sample of Australians who inject drugs or use ecstasy and/or other illicit stimulants on a monthly or more frequent basis, and who reported past 6-month use of non-prescribed benzodiazepines (n = 235 and n = 250, respectively). Data were collected on source, diversion from a known/trusted prescription, product name and aesthetic characteristics for the last non-prescribed benzodiazepine obtained. RESULTS: Amongst participants who injected drugs, 71% reported that their last non-prescribed benzodiazepines were diverted from a known/trusted prescription, compared to 59% of participants who used ecstasy/other stimulants. Sourcing via cryptomarkets was rare. Across both samples, the majority reported last obtaining substances sold/marketed as diazepam or alprazolam. Participants sourcing via non-diverted means were twice as likely to obtain alprazolam. Known sourcing of novel compounds was rare. Amongst participants who used ecstasy/other stimulants, 36% reported confidence in the content/dose of non-prescribed benzodiazepines even when the source is unknown. DISCUSSION AND CONCLUSIONS: Most participants obtained substances sold as classic/registered benzodiazepines, mostly via diverted prescriptions, with a substantial minority potentially unaware of counterfeits circulating. While diverted use undeniably presents risks, tightening of prescriptions in Australia could inadvertently lead to greater supply of novel benzodiazepines as seen internationally, reinforcing prioritisation of demand and harm reduction strategies.

Five-Year Sales for Newly Marketed Prescription Drugs With and Without Initial Orphan Drug Act Designation.

This study evaluates sales revenue earned in the first 5 years for newly marketed brand-name drugs with and without an initial orphan drug designation.

Evaluation Method of Human Resource Management Efficiency of Chain Retail Enterprises Based on Distributed Database.

The calculation of human resource management efficiency evaluation method is large, which affects the technical efficiency and scale efficiency of evaluation results. Based on distributed database, an evaluation method of human resource management efficiency of chain retail enterprises is proposed. Genetic algorithm is applied to the design of distributed database to realize the best data allocation scheme. The distributed database is used to store the human resource information of chain retail enterprises to ensure the data consistency and information availability. Select the input and output elements that can best reflect the human resource management status of chain retail enterprises in the distributed database, design the management efficiency evaluation index system, and construct the DEA evaluation model. After testing, the technical efficiency and scale efficiency of the design method in this paper are higher than the evaluation methods of human resource management efficiency of chain retail enterprises based on principal component analysis and fuzzy comprehensive evaluation, which is conducive to management decision-making.

On the relation between COVID-19, mobility, and the stock market.

The Covid-19 pandemic has brought forth a major landscape shock in the mobility sector. Due to its recentness, researchers have just started studying and understanding the implications of this crisis on mobility. We contribute by combining mobility data from various sources to bring a novel angle to understanding mobility patterns during Covid-19. The goal is to expose relations between mobility and Covid-19 variables and understand them by using our data. This is crucial information for governments to understand and address the underlying root causes of the impact.

Examining the Prevalence, Nutritional Quality and Marketing of Foods with Voluntary Nutrient Additions in the Canadian Food Supply.

Foods with voluntary nutritional additions are a fast-growing sector of the global food industry. In Canada, while the addition of nutrients to foods has been regulated through fortification regulations, parallel policies which aim to encourage product innovation have also allowed for the voluntary addition of nutrients and other novel ingredients to 'supplemented' and 'functional' foods. Concerns have been raised that the consumption of these products may have negative repercussions on population health, such as high nutrient intakes inappropriate for certain population subgroups (e.g., children) and the shifting of dietary patterns to include more unhealthy foods. The aim of this study was to evaluate the prevalence, nutritional quality, and marketing characteristics of foods with added nutrients in the Canadian market. We found many nutritionally-enhanced foods contained high levels of nutrients beyond recommended intakes, despite these nutrients having no evidence of inadequacy in the Canadian population. Additionally, a large proportion of foods with added nutrients had poor nutrient profiles (were deemed 'less healthy' than their non-enhanced counterparts) and carried heavy marketing on their labels, regardless of their nutritional quality. Taken together these findings raise concerns about foods with voluntary nutrient additions and suggest the need to further investigate consumer attitudes and decision-making towards these foods.

An improved deep forest model for prediction of e-commerce consumers' repurchase behavior.

As the Internet retail industry continues to rise, more and more consumers choose to shop online, especially Chinese consumers. Using consumer behavior data left on the Internet to predict repurchase behavior is of great significance for companies to achieve precision marketing. This paper proposes an improved deep forest model, and the interactive behavior characteristics of users and goods are added into the original feature model to predict the repurchase behavior of e-commerce consumers. Based on the Alibaba mobile e-commerce platform data set, first construct a feature engineering that includes user characteristics, product characteristics, and interactive behavior characteristics. And then use our proposed model to make predictions. Experiments show that the model's overall performance with increased interactive behavior features is better and has higher accuracy. Compared with the existing prediction models, the improved deep forest model has certain advantages, which not only improves the prediction accuracy but also reduces the cost of training time.

Predicted preference conjoint analysis.

In this paper we propose a new method of eliciting market research information. Instead of asking respondents for their personal choices and preferences, we ask respondents to predict the choices of other respondents to the survey. Such predictions tap respondents' knowledge of peers, whether based on direct social contacts or on more general cultural information. The effectiveness of this approach has already been demonstrated in the context of political polling. Here we extend it to market research, specifically, to conjoint analysis. An advantage of the new approach is that it can elicit reliable responses in situations where people are not comfortable with disclosing their true preferences, but may be willing to give information about people around them. A theoretical argument demonstrates that predictions should yield utility estimates that are more accurate. These theoretical results are confirmed in four online experiments.

The Nature and Extent of Online Marketing by Big Food and Big Alcohol During the COVID-19 Pandemic in Australia: Content Analysis Study.

BACKGROUND: Emerging evidence demonstrates that obesity is associated with a higher risk of COVID-19 morbidity and mortality. Excessive alcohol consumption and "comfort eating" as coping mechanisms during times of high stress have been shown to further exacerbate mental and physical ill-health. Global examples suggest that unhealthy food and alcohol brands and companies are using the COVID-19 pandemic to further market their products. However, there has been no systematic, in-depth analysis of how "Big Food" and "Big Alcohol" are capitalizing on the COVID-19 pandemic to market their products and brands. OBJECTIVE: We aimed to quantify the extent and nature of online marketing by alcohol and unhealthy food and beverage companies during the COVID-19 pandemic in Australia. METHODS: We conducted a content analysis of all COVID-19-related social media posts made by leading alcohol and unhealthy food and beverage brands (n=42) and their parent companies (n=12) over a 4-month period (February to May 2020) during the COVID-19 pandemic in Australia. RESULTS: Nearly 80% of included brands and all parent companies posted content related to COVID-19 during the 4-month period. Quick service restaurants (QSRs), food and alcohol delivery companies, alcohol brands, and bottle shops were the most active in posting COVID-19-related content. The most common themes for COVID-19-related marketing were isolation activities and community support. Promotion of hygiene and home delivery was also common, particularly for QSRs and alcohol and food delivery companies. Parent companies were more likely to post about corporate social responsibility (CSR) initiatives, such as donations of money and products, and to offer health advice. CONCLUSIONS: This is the first study to show that Big Food and Big Alcohol are incessantly marketing their products and brands on social media platforms using themes related to COVID-19, such as isolation activities and community support. Parent companies are frequently posting about CSR initiatives, such as donations of money and products, thereby creating a fertile environment to loosen current regulation or resist further industry regulation. "COVID-washing" by large alcohol brands, food and beverage brands, and their parent companies is both common and concerning. The need for comprehensive regulations to restrict unhealthy food and alcohol marketing, as recommended by the World Health Organization, is particularly acute in the COVID-19 context and is urgently required to "build back better" in a post-COVID-19 world.

Reconstructing dynamics of foodborne disease outbreaks in the US cattle market from monitoring data.

Conventional empirical studies of foodborne-disease outbreaks (FDOs) in agricultural markets are linear-stochastic formulations hardwiring a world in which markets self-correct in response to external random shocks including FDOs. These formulations were unequipped to establish whether FDOs cause market reaction, or whether markets endogenously propagate outbreaks. We applied nonlinear time series analysis (NLTS) to reconstruct annual dynamics of FDOs in US cattle markets from CDC outbreak data, live cattle futures market prices, and USDA cattle inventories from 1967-2018, and used reconstructed dynamics to detect causality. Reconstructed deterministic nonlinear market dynamics are endogenously unstable-not self-correcting, and cattle inventories drive futures prices and FDOs attributed to beef in temporal patterns linked to a multi-decadal cattle cycle undetected in daily/weekly price movements investigated previously. Benchmarking real-world dynamics with NLTS offers more informative and credible empirical modeling at the convergence of natural and economic sciences.