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      The influence of unhealthy food and beverage marketing through social media and advergaming on diet-related outcomes in children-A systematic review.

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          Abstract

          Children are increasingly exposed to food and beverage marketing, but little is known about the specific effects of marketing through media most used by children. This study aims to systematically review the influence of unhealthy food and beverage marketing through social media and advergaming on diet-related outcomes in children. Seven databases were systematically searched for English peer-reviewed quantitative and qualitative scientific studies on the effects of marketing of unhealthy products through social media or advergaming on a range of diet-related outcomes in children. Risk of bias was assessed with tools specific for the different study designs. Twenty-six studies were included, of which 20 examined the effect of food and beverage marketing through advergaming and six through social media. Most studies had a high risk of bias. The results suggested that unhealthy food and beverage marketing through social media and advergaming has a significant effect on pester behaviors, food choice, and food intake of children. The studies demonstrate that unhealthy food and beverage marketing through media popular with children significantly impacts different diet-related outcomes. Combined with existing evidence on this effect in other settings, this review provides clear evidence of the need for policies targeting screen-based marketing.

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          Most cited references98

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          RoB 2: a revised tool for assessing risk of bias in randomised trials

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            Rayyan—a web and mobile app for systematic reviews

            Background Synthesis of multiple randomized controlled trials (RCTs) in a systematic review can summarize the effects of individual outcomes and provide numerical answers about the effectiveness of interventions. Filtering of searches is time consuming, and no single method fulfills the principal requirements of speed with accuracy. Automation of systematic reviews is driven by a necessity to expedite the availability of current best evidence for policy and clinical decision-making. We developed Rayyan (http://rayyan.qcri.org), a free web and mobile app, that helps expedite the initial screening of abstracts and titles using a process of semi-automation while incorporating a high level of usability. For the beta testing phase, we used two published Cochrane reviews in which included studies had been selected manually. Their searches, with 1030 records and 273 records, were uploaded to Rayyan. Different features of Rayyan were tested using these two reviews. We also conducted a survey of Rayyan’s users and collected feedback through a built-in feature. Results Pilot testing of Rayyan focused on usability, accuracy against manual methods, and the added value of the prediction feature. The “taster” review (273 records) allowed a quick overview of Rayyan for early comments on usability. The second review (1030 records) required several iterations to identify the previously identified 11 trials. The “suggestions” and “hints,” based on the “prediction model,” appeared as testing progressed beyond five included studies. Post rollout user experiences and a reflexive response by the developers enabled real-time modifications and improvements. The survey respondents reported 40% average time savings when using Rayyan compared to others tools, with 34% of the respondents reporting more than 50% time savings. In addition, around 75% of the respondents mentioned that screening and labeling studies as well as collaborating on reviews to be the two most important features of Rayyan. As of November 2016, Rayyan users exceed 2000 from over 60 countries conducting hundreds of reviews totaling more than 1.6M citations. Feedback from users, obtained mostly through the app web site and a recent survey, has highlighted the ease in exploration of searches, the time saved, and simplicity in sharing and comparing include-exclude decisions. The strongest features of the app, identified and reported in user feedback, were its ability to help in screening and collaboration as well as the time savings it affords to users. Conclusions Rayyan is responsive and intuitive in use with significant potential to lighten the load of reviewers.
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              The PRISMA 2020 statement: An updated guideline for reporting systematic reviews

              Matthew Page and co-authors describe PRISMA 2020, an updated reporting guideline for systematic reviews and meta-analyses.
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                Author and article information

                Journal
                Obes Rev
                Obesity reviews : an official journal of the International Association for the Study of Obesity
                Wiley
                1467-789X
                1467-7881
                June 2022
                : 23
                : 6
                Affiliations
                [1 ] Department of Epidemiology and Data Science, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands.
                [2 ] Medical Library, Vrije Universiteit, Amsterdam, The Netherlands.
                [3 ] Upstream Team, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
                Article
                10.1111/obr.13441
                35301815
                6be72500-c2cc-4c09-8571-093a8ac5c2f8
                History

                obesity,digital,commercial,advertising
                obesity, digital, commercial, advertising

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