Evidence map›Paper›PMID 31940031›Full record

ArticleThe American journal of clinical nutrition2020

Neural response to fast food commercials in adolescents predicts intake.

Ashley N Gearhardt, Sonja Yokum, Jennifer L Harris, Leonard H Epstein, Julie C Lumeng

Open access · greenAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
7.5field-weighted citation impact, top 3% of its field
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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Structural and Functional Brain Changes in Children and Adolescents With Obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  5. Use of Mukbang in Health Promotion: Scoping Review.Journal of medical Internet research · 2025
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  9. Applying psycho-behavioural phenotyping in obesity characterization.Reviews in endocrine & metabolic disorders · 2023
    Review
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  18. Longitudinal Evidence of a Vicious Cycle Between Nucleus Accumbens Microstructure and Childhood Weight Gain.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2022
    Article
  19. Review
  20. Review
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

5 authors at 4 institutions in 1 country.

Ashley N GearhardtDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA.
Sonja YokumOregon Research Institute, Eugene, OR, USA.
Jennifer L HarrisRudd Center for Food Policy and Obesity, University of Connecticut, Hartford, CT, USA.
Leonard H EpsteinDepartment of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA.
Julie C LumengDepartment of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA.
University of Michigan · USOregon Research Institute · USUniversity at Buffalo, State University of New York · USUniversity of Connecticut · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

backgroundFood advertising is a major contributor to obesity, and fast food (FF) restaurants are top advertisers. Research on the impact of food advertising in adolescents is lacking and no prior research has investigated neural predictors of food intake in adolescents. Neural systems implicated in reward could be key to understanding how food advertising drives food intake.

objectivesTo investigate how neural responses to both unhealthy and healthier FF commercials predict food intake in adolescents.

methodsA cross-sectional sample of 171 adolescents (aged 13-16 y) who ranged from normal weight to obese completed an fMRI paradigm where they viewed unhealthy and healthier FF and nonfood commercials. Adolescents then consumed a meal in a simulated FF restaurant where foods of varying nutritional profiles (unhealthy compared with healthier) were available.

resultsGreater neural activation in reward-related regions (nucleus accumbens, r = 0.29; caudate nucleus, r = 0.27) to unhealthy FF commercials predicted greater total food intake. Greater responses to healthier FF relative to nonfood commercials in regions associated with reward (i.e., nucleus accumbens, r = 0.24), memory (i.e., hippocampus, r = 0.32), and sensorimotor processes (i.e., anterior cerebellum, r = 0.33) predicted greater total food and unhealthier food intake, but not healthier food intake. Lower activation in neural regions associated with visual attention and salience (e.g., precuneus, r = -0.35) to unhealthy relative to healthier FF commercials predicted healthier food intake.

conclusionsThese findings suggest that FF commercials contribute to overeating in adolescents through reward mechanisms. The addition of healthier commercials from FF restaurants is unlikely to encourage healthier food intake, but interventions that reduce the ability of unhealthy FF commercials to capture attention could be beneficial. However, an overall reduction in the amount of FF commercials exposure for adolescents is likely to be the most effective approach.

Indexed as

EatingAdolescentAdvertisingBrainCross-Sectional StudiesFast FoodsFemaleHumansMagnetic Resonance ImagingMaleObesityRewardTelevisionadolescentscommercialseatingfast foodfMRIfood advertising

Identifiers

PMID31940031
PMCPMC7049532
OpenAlexW2998993033

What OpenQuestion holds

Textmetadata
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.