Evidence map›Paper›PMID 42115918›Full record

ArticleJournal of health, population, and nutrition2026

Examining the spread of nutrition-based misinformation by TikTok influencers: an experimental analysis of trust among young adults.

Grace Fox, Lisa van der Werff, Guto Santos, Antonia Egli, Charles Wood, Theo Lynn

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Article in Journal of health, population, and nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Grace FoxSchool of Modeling, Simulation and Training, University of Central Florida, Orlando, USA. grace.fox@ucf.edu.
Lisa van der WerffTrustLab, DCU Institute for Business and Society, Dublin City University, Dublin, Ireland.
Guto SantosTrustLab, DCU Institute for Business and Society, Dublin City University, Dublin, Ireland.
Antonia EgliSchool of Modeling, Simulation and Training, University of Central Florida, Orlando, USA.
Charles WoodCollins College of Business, University of Tulsa, Tulsa, USA.
Theo LynnTrustLab, DCU Institute for Business and Society, Dublin City University, Dublin, Ireland. theo.lynn@dcu.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNutrition misinformation spreads rapidly on social media. Young adults particularly rely on influencers and platforms, such as TikTok, for nutrition information. This study examined young adult TikTok users' trust in nutrition information and nutrition influencers, exploring whether influencer qualifications and message accuracy influence trust.

methodsWe conducted an online experiment using Prolific and Centiment. A total of 1,035 TikTok users aged 18-26 years were recruited from four countries (USA, UK, Australia, Canada), with 1,016 included in the final analysis. Participants were randomly assigned to view one of six TikTok videos manipulating (1) influencer qualification (qualified vs neutral vs not qualified) and (2) information accuracy (accurate vs misinformation). Outcomes were self-reported trust in the influencer and trust in the message content, measured using validated multi-item scales. Differences across conditions were analysed using factorial ANCOVA models in SPSS.

resultsTrust in the influencer and trust in the message differed by qualification condition, with the highest trust observed when the influencer reported a nutrition qualification. Trust in both outcomes was also higher when the video contained accurate information compared with misinformation, with mean differences across conditions ranging from approximately 0.47 to 0.50 points on the scale. Post hoc analyses indicated lower trust in both the influencer and the message among Canadian participants relative to other countries.

conclusionsInfluencer qualifications and information accuracy independently increase young adults' trust in TikTok nutrition content. These findings support encouraging qualified nutrition professionals to prominently disclose relevant credentials, ensure accuracy in original posts, and actively counter inaccurate nutrition content shared by others.

Indexed as

CommunicationSocial MediaTrustAdolescentAdultAustraliaCanadaDigital MediaFemaleHumansMaleMedia ExposureUnited KingdomUnited StatesYoung AdultMisinformationNutritionSocial mediaTikTokTrust

Identifiers

PMID42115918
PMCPMC13330236

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LicenceCC BY-NC-ND
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Registered trials

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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.