SynthesisNutrients2018
The Effects of Digital Marketing of Unhealthy Commodities on Young People: A Systematic Review.
Synthesis in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it, 148 citations in OpenAlex.
- The food environment in Latin America: a systematic review with a focus on environments relevant to obesity and related chronic diseases.Public health nutrition · 2019Pooled it
- Online Searches for Gun-Related Harm.JAMA network open · 2026Article
- Virtual reality in school-based health promotion: a mixed-methods evaluation of adolescent alcohol, vaping, and other drug use prevention.Health promotion international · 2026Article
- Effects of social media sponsorship disclosure on adolescents' advertising literacy and purchase intention.PloS one · 2026Article
- From scroll to sale: online media engagement predicts adolescents' online supplement purchases in a nationally representative cross-sectional study.Frontiers in psychology · 2026Article
- Examining Canadian youth's engagement with food companies via digital media.PLOS digital health · 2025Article
- Associations between exposure to digital food marketing and food consumption in adolescence: a cross-sectional study in an emerging country.BMC public health · 2025Article
- Article
- Nurturing healthy futures: social and familial influences on childhood obesity.World journal of pediatrics : WJP · 2025Article
- Food digital marketing on social media: trends and strategies of Brazil's leading meal delivery app.Frontiers in nutrition · 2025Article
- Identifying and Understanding Use Trajectories of Cigarettes and E-Cigarettes.Substance use & misuse · 2025Article
- Associations between exposure to advertising of foods high in fats, salt and sugar and purchase of energy and nutrients: a cross-sectional study.Public health nutrition · 2024Article
- Digital Alcohol and Cannabis Ads, Consumption Frequency, and Driving Under the Influence.Journal of studies on alcohol and drugs · 2024Article
- Dietary Intake of Adolescents and Alignment with Recommendations for Healthy and Sustainable Diets: Results of the SI.Menu Study.Nutrients · 2024Article
- The Role of Social Media Advertisement and Physical Activity on Eating Behaviors among the General Population in Saudi Arabia.Nutrients · 2024Article
- Testing a conceptual Hierarchy of Effects model of food marketing exposure and associations with children and adolescents' diet-related outcomes.Public health nutrition · 2023Article
- A systematic review of the adolescent-directed marketing strategies of transnational fast food companies in low- and middle-income countries.Obesity science & practice · 2023Review
- Adolescent Use of Dating Applications and the Associations with Online Victimization and Psychological Distress.Behavioral sciences (Basel, Switzerland) · 2023Article
- Article
- Establishing the Minimum Media Time Sample Required to Obtain Reliable Estimates of Children's Digital Media Food Marketing Exposures.Current developments in nutrition · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The marketing of unhealthy commodities through traditional media is known to impact consumers' product attitudes and behaviors. Less is known about the impacts of digital marketing (online promotional activities), especially among young people who have a strong online presence. This review systematically assesses the relationship between digital marketing and young people's attitudes and behaviors towards unhealthy commodities. Literature was identified in June 2017 by searches in six electronic databases. Primary studies (both qualitative and quantitative) that examined the effect of digital marketing of unhealthy food or beverages, alcohol and tobacco products on young people's (12 to 30 years) attitudes, intended and actual consumption were reviewed. 28 relevant studies were identified. Significant detrimental effects of digital marketing on the intended use and actual consumption of unhealthy commodities were revealed in the majority of the included studies. Findings from the qualitative studies were summarized and these findings provided insights on how digital marketing exerts effects on young people. One of the key findings was that marketers used peer-to-peer transmission of messages on social networking sites (e.g., friends' likes and comments on Facebook) to blur the boundary between marketing contents and online peer activities. Digital marketing of unhealthy commodities is associated with young people's use and beliefs of these products. The effects of digital marketing varied between product types and peer endorsed marketing (earned media) may exert greater negative impacts than owned or paid media marketing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.