ArticleJournal of youth and adolescence2017
Media as a "Super Peer": How Adolescents Interpret Media Messages Predicts Their Perception of Alcohol and Tobacco Use Norms.
Article in Journal of youth and adolescence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses 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
38 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Understanding the mechanisms of change in social norms around tobacco use: A systematic review and meta-analysis of interventions.Addiction (Abingdon, England) · 2025Pooled it
- The Relationship between Moral Climate of Sports and the Moral Behavior of Young Athletes: A Multilevel Meta-analysis.Journal of youth and adolescence · 2019Pooled it
- Profiles of Digital Parenting Styles: Associations With Cyberbullying Among Adolescents.Journal of adolescence · 2026Article
- Bridging Early Adolescents' Online and In-Person Experiences: Qualitative Explorations of Emotional and Relational Well-Being in the Post-COVID-19 Era.Journal of adolescence · 2026Article
- Real-Time Exposure to Alcohol Content in Digital Media in Adolescents: Protocol for a Multiburst Ecological Momentary Assessment Study.JMIR research protocols · 2025Article
- Social media use, risk behavior engagement, and mental health among middle adolescents in the Caribbean.BMC public health · 2025Article
- Mobile phone ownership, social media use, and substance use at ages 11-13 in the ABCD study.Addictive behaviors · 2025Article
- Examining the impact of social media on youth vaping behavior in China: an analysis of the mediating role of perceptions of policy enforcement.Frontiers in public health · 2025Article
- Concurrent Mentions of Vaping and Alcohol on Twitter: Latent Dirichlet Analysis.Journal of medical Internet research · 2024Article
- Understanding Alcohol and Illicit Drug Use in Young College Students: A Qualitative Work from India Based on Social Norms Theory.Indian journal of psychological medicine · 2024Article
- Social media use, brand engagement, and tobacco product initiation among youth: Evidence from a prospective cohort study.Addictive behaviors · 2024Article
- Do you 'like' problems? The linkage between college students' interactions with alcohol-related content on social media and their alcohol-related problems.Drug and alcohol review · 2024Article
- Typology of Adolescents Exposed to Non-medical Cannabis Marketing and Associations with Consumption Patterns.Prevention science : the official journal of the Society for Prevention Research · 2022Article
- Drinking Expectancies among Chinese Young Adults: A Qualitative Study from Hong Kong.International journal of environmental research and public health · 2022Article
- Social Media Exposure and Left-behind Children's Tobacco and Alcohol Use: The Roles of Deviant Peer Affiliation and Parent-Child Contact.Behavioral sciences (Basel, Switzerland) · 2022Article
- Analyzing Twitter Chatter About Tobacco Use Within Intoxication-related Contexts of Alcohol Use: "Can Someone Tell Me Why Nicotine is So Fire When You're Drunk?"Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022Article
- Association of Smartphone Use With Body Image Distortion and Weight Loss Behaviors in Korean Adolescents.JAMA network open · 2022Article
- Perceived and misperceived norms about khat and/or cannabis use among adults in southwest Uganda.The International journal on drug policy · 2022Article
- Marketing of sugar-sweetened beverages to youth through U.S. university pouring rights contracts.Preventive medicine reports · 2022Article
- #Nicotineaddiction on TikTok: A quantitative content analysis of top-viewed posts.Tobacco induced diseases · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Adolescents' media environment offers information about who uses substances and what happens as a result-how youth interpret these messages likely determines their impact on normative beliefs about alcohol and tobacco use. The Message Interpretation Processing (MIP) theory predicts that substance use norms are influenced by cognitions associated with the interpretation of media messages. This cross-sectional study examined whether high school adolescents' (n = 817, 48 % female, 64 % white) media-related cognitions (i.e., similarity, realism, desirability, identification) were related to their perceptions of substance use norms. Results revealed that adolescents' media-related cognitions explained a significant amount of variance in perceived social approval for and estimated prevalence of peer alcohol and tobacco use, above and beyond previous use and demographic covariates. Compared to prevalence norms, social approval norms were more closely related to adolescents' media-related cognitions. Results suggest that critical thinking about media messages can inhibit normative perceptions that are likely to increase adolescents' interest in alcohol and tobacco use.
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.