Evidence map›Paper›PMID 40545301›Full record

ArticleBMJ open2025

Assessing the impact of novel social media policies in the USA restricting youth exposure to food and beverage advertisements: a protocol for a difference-in-difference study.

Stephanie L Albert, Courtney Abrams, Omni Cassidy, Roxanne Dupuis, Zora Hall, Sol Rego, Lloyd Heng, Emil Hafeez, Brian Elbel, Marie A Bragg

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Stephanie L AlbertDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.ORCID http://orcid.org/0000-0003-3233-3742
Courtney AbramsDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Omni CassidyDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Roxanne DupuisDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Zora HallDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Sol RegoDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Lloyd HengDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Emil HafeezDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Brian ElbelDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA marie.bragg@nyulangone.org brian.elbel@nyulangone.org.
Marie A BraggDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA marie.bragg@nyulangone.org brian.elbel@nyulangone.org.

Funding

Unhealthy food and beverage advertising on social media: Examining state policies that restrict adolescents' access to social mediaR01HD116783 · NICHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Marie Bragg, Brian Elbel · 2024 to 2026
$2.1M
The effect of virtual reality-based food marketing on biological hunger signals and purchase intention in young adultsK01MD019320 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Omni Cassidy · 2024 to 2026
$407k
NICHD NIH HHS R01 HD116783NIMHD NIH HHS K01 MD019320
6 · The paper itself

Abstract

introductionSocial media is the most prominent source of online food and beverage advertisements (ads) seen by adolescents. Companies target adolescent social media users with ads that feature calorie-dense, nutrient-poor products, and exposure to ads drives poor diet and risk for future diet-related diseases. Black, Hispanic and lower socio-economic status youth are exposed to significantly more ads than White peers. Several state-level policies in the USA have passed restricting youth from accessing social media without parental approval, and some policies have banned advertising to youth. This protocol paper describes a current study that aims to understand the impact of such policies in two states, Louisiana and Texas, as they were among the first to be implemented with racially/ethnically diverse populations. METHODS AND ANALYSIS: This study employs a repeated cross-sectional difference-in-difference design in which 700 youth ages 13-17 years are being recruited each year for 5 years (Louisiana n=175, Texas n=175, matched comparisons from other states n=350). Youth screen record their mobile devices for 60 minutes while they browse social media platforms (eg, TikTok, Instagram) or use the internet. They also complete a brief survey about a variety of topics (eg, health behaviours, mental health). Adolescents are compensated for screen recording ($75) and the survey ($25). Study team members are coding recordings for several characteristics, including media platforms used, appearances of food or beverages, and food or beverage type. We will estimate the impact of policies on food and beverage ads seen per hour using Ordinary Least Squares regression models and heterogeneity-robust standard errors clustered at the state level (by year and cumulatively). We will run additional models with interaction terms with income and race/ethnicity, separately, to test the role of the policies on health disparities. ETHICS AND DISSEMINATION: Study procedures have been approved by the Institutional Review Board of the NYU Grossman School of Medicine. We will distribute findings in peer-reviewed journals and at local and national conferences. To complement traditional dissemination pathways, we will create infographics to share with relevant community stakeholders. We will also share findings with policymakers in states that have passed or considered similar policies.

Indexed as

AdvertisingBeveragesFoodSocial MediaAdolescentCross-Sectional StudiesFemaleHumansMaleTexasUnited StatesAdolescentsLegislationObesitySocial Media

Identifiers

PMID40545301
PMCPMC12185892

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.