Background: Ultra-processed food (UPF) is currently not included in most countries’ dietary guidance. However, there may be growing public interest and consumer avoidance of UPF due to media reporting of studies on the negative health outcomes associated with UPFs. Methods: We surveyed 2386 UK adults (M age = 45 years, 50% female) during February–April 2024. Participants completed measures on awareness of the term UPF, whether the UPF status of foods affects their dietary decision-making, and confidence in identifying UPFs. Participants categorised a list of 10 foods (5 UPFs and 5 non-UPFs) as UPF vs. not, before rating whether information about studies linking UPF to worse health impacts on their negative affect and acts as a deterrent to consuming UPFs. Results: Most participants (73%) were aware of the term UPF and 58% reported that their food choices are determined by whether they believe a food is ultra-processed or not. Participants with the highest income and education levels were most likely to report both being aware of, and, avoiding consuming UPFs. Most participants could not accurately categorise whether foods were UPFs. Some sociodemographic groups (e.g., higher education levels) were more likely to accurately categorise UPFs but were also more likely to incorrectly believe that non-UPFs were UPFs. Participants tended to report that UPF-health risk information increases negative affect and acts as a deterrent to consuming UPFs. Conclusions: In this study, a large number of UK adults reported avoiding consuming UPFs. This was particularly pronounced among those with the highest education and income levels.

Background: Web-based interventions are thought to overcome barriers to treatment, such as accessibility and geographical location, which can undermine the effectiveness of traditional face-to-face interventions. Owing to these features, researchers are increasingly testing the efficacy of web-based interventions as ways to reduce alcohol misuse, binge eating, and gambling. However, many web-based interventions have poorly defined mechanisms of action; therefore, it is often uncertain how they propose to bring about behavior change. Objective: This systematic review aims to identify effective behavior change techniques (BCTs) present in web-based interventions aimed at reducing alcohol consumption, binge eating, or gambling. Methods: This systematic review covered research conducted in the last 20 years. Inclusion criteria for interventions were web-based administration; targeting alcohol use, binge eating, and/or gambling; and reporting on baseline and postintervention measures of behavior. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines were followed. We coded intervention effectiveness, study quality, and BCTs present in the interventions. Results: Following removal of 4152 ineligible articles, 45 were included in the review: 32 (71%) targeted alcohol misuse, 6 (13%) targeted binge eating, and 7 (16%) targeted gambling. In total, 5 frequency counts were performed to identify the most commonly used BCTs: all studies, effective interventions, high-quality studies at 2 thresholds, and both high quality and effective studies. The results obtained from this were integrated to identify 7 BCTs. These 7 BCTs were problem solving, feedback on behavior, self-monitoring of behavior, self-monitoring of outcomes, instruction on how to perform a behavior, information about social and health consequences, and social comparison. A total of 4 BCTs were found in all frequency counts: feedback on behavior, self-monitoring of behavior, instruction on how to perform a behavior, and social comparison. Self-monitoring of outcomes of behavior was found in 3 of the 5 frequency counts, problem solving was found in 2 frequency counts, and information about social and health consequences was found in 1 frequency count. Conclusions: This systematic review identified 7 of the most frequently used BCTs used in web-based interventions focused on alcohol misuse, binge eating, and gambling. These results can inform the development of evidence-based eHealth interventions that have the potential to lead to effective, positive behavior changes in all 3 areas.

Summary: Videogame livestreaming platforms are an emerging form of digital media, popular with young people, where users watch gaming influencers play videogames. Food and non‐alcoholic beverage (hereafter: food) brands have a substantial presence on these platforms, yet no studies have examined the impact of this food marketing on young people. This systematic review and meta‐analysis examined the evidence (quantitative or mixed‐method) for a relationship between exposure to digital game‐based or influencer food marketing, and food‐related (brand awareness, attitudes, preferences, purchase, and consumption), and post‐consumption (weight, body mass index [BMI], and dental caries) outcomes in young people (≤18 years). Twenty‐three databases were searched in March 2021. Twenty‐two studies met the inclusion criteria, of which 20 were included in the quantitative synthesis. Meta‐analyses indicated food marketing was associated with more positive attitudes and greater preferences (OR = 1.74, p < 0.001 [95%CI: 1.355, 2.232]), and increased consumption (SMD = 0.37, p < 0.001 [95%CI: 0.219, 0.529]). Narrative synthesis indicated that food marketing may increase brand awareness but not pester intent, although data were limited. Evidence suggests that there is a relationship between exposure to food marketing via influencers and digital gaming media, and several food‐related outcomes. This is the first quantitative synthesis to demonstrate these relationships; this work has implications for food marketing policy.

Digital media has become an integral part of adolescents' lives. Mirroring this trend, food and non-alcoholic beverage (hereafter: food) brands increasingly promote products in digital media to maximise reach with young consumers. Videogame livestreaming platforms, where individuals can broadcast or watch streamed videogame footage, are a growing form of digital media. The top three platforms (market share by hours watched) are Twitch (72%), YouTube Gaming (13%), and Facebook Gaming Live (9%), with a combined 34.6 billion hours watched in 2021. These platforms represent a hybridisation of two popular digital trends amongst teenagers: viewing online video content and playing videogames. On these platforms, gaming influencers promote food brands and products, with energy drinks and fast-food restaurants representing the most frequently promoted categories. Evidence suggests that food marketing via Twitch is associated with food craving, purchasing and consumption in adults. Yet, despite the evident teenage appeal and prevalence of food marketing on these platforms, research is yet to explore its associations with adolescent eating behaviour. Adolescents (n = 490, M_age = 16.81, 30.2% female) completed an online cross-sectional questionnaire exploring their recall of food marketing on the top three videogame livestreaming platforms, and relevant behavioural (purchase, consumption) and health (Body Mass Index) outcomes. Structural equation modelling was used to explore hierarchical relationships between the key variables. Results showed that recall of unhealthy food marketing on these platforms was significantly associated with purchase and consumption of marketed food categories. Attitudes towards unhealthy foods mediated this relationship. Findings are the first to demonstrate the relationships between unhealthy food marketing via videogame livestreaming platforms and adolescent eating behaviours, which has implications for the design of policies to restrict digital food marketing to young people.

Food and non-alcoholic beverage (hereafter: food) marketing is prevalent in digital media and predominantly for foods high in fats, salt and/or sugar (HFSS). However, little is known about food marketing in videogame livestreaming platforms - a hybridisation of social and gaming media where individuals can watch influencers (i.e., streamers) play videogames. No studies have explored food cues within the streamed content or content likely to be viewed by adolescents. The current study analysed the food cues in Twitch (the leading videogame livestreaming platform) videos (n = 52, 52h) uploaded to the platform during October 2020-September 2021 by influencers likely to be popular with adolescents. Food cues (n = 133, 2.56 per hour) were coded for exposure (e.g., display type, healthfulness) and power (e.g., presentation) using a World Health Organization (WHO) protocol and the UK Nutrient Profile Model. The majority (70.7%) of cues were HFSS, with energy drinks being the most featured food category (62.4%). Most cues were branded (80.5%) and featured as either product placement (44.4%) or a looping image (40.6%). Influencers were more likely to consume healthy (88.5%) than HFSS items (33.4%). The mean duration of each food cue was 20 min and 25 s per hour. Only 2.3% of cues had an advertising disclosure. This study provides the first empirical assessment of food cues on Twitch in livestreamed content likely to be popular with adolescents and has implications for digital food marketing policy development.