Evidence map›Paper›PMID 41061255›Full record

SynthesisJMIR infodemiology2025

Physical Activity Misinformation on Social Media: Systematic Review.

D David Thomas, Linglin Xu, Brian Yu, Octavio Alanis, John Adamek, Imani Canton, Xuan Lin, Yan Luo, Sean P Mullen

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR infodemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

9 authors.

D David ThomasInformatics Programs, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0000-0002-7323-3660
Linglin XuDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0009-0006-9519-8954
Brian YuDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0009-0001-1502-5505
Octavio AlanisDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0009-0002-3765-4190
John AdamekDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0000-0001-5606-2225
Imani CantonDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0009-0008-2227-2812
Xuan LinDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0009-0009-1660-8479
Yan LuoDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0000-0002-5637-7128
Sean P MullenInformatics Programs, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID 0000-0002-8200-4026

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media is a prominent way in which health information is spread. The accuracy and credibility of such sources range widely, with misleading statements, misreported results of studies, and a lack of references causing health misinformation to become a growing problem. However, previous research on health misinformation related to topics including vaccines, nutrition, and cancer has excluded physical activity despite it being highly searched for and discussed online.

objectiveThis systematic review was designed to synthesize the existing literature focused on physical activity misinformation on social media in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines.

methodsKeyword searches were conducted in PubMed, the Cochrane Library, Web of Science, and Scopus databases for records published between January 2016 and May 2025. This search strategy yielded 9039 articles. Titles and abstracts were screened by independent reviewers, resulting in 168 (1.86%) articles selected for full-text review. After further review, 33 (19.6%) articles met the inclusion criteria and were used in the final synthesis.

resultsFor the 33 studies selected, topics included physical rehabilitation and therapeutic exercise recommendations (n=15, 45%), general physical activity and messaging (n=6, 18%), exercising with a specific condition (n=4, 12%), women's health (n=3, 9%), weight loss (n=2, 6%), exercise testing (n=1, 3%), "immune boosting exercise" (n=1, 3%), and workplace sitting versus standing guidelines (n=1, 3%). The social media platforms YouTube (n=13, 39%), TikTok (n=7, 21%), Facebook (n=2, 6%), Instagram (n=1, 3%), and Pinterest (n=1, 3%) were studied, whereas other articles (n=9, 27%) analyzed content that had not explicitly been posted to social media but could be shared widely online. In total, 4 (12%) studies reported research that proactively engaged participants, and the remaining 29 (88%) studies analyzed readily available online content, including social media, news articles, websites, and blogs. Furthermore, 27 (82%) studies reported at least 1 measure of misinformation prevalence, whereas 21 (64%) reported a metric of reach, and 6 (18%) studies reported a measure of misinformation spread.

conclusionsOur findings indicate that research on social media physical activity misinformation spans a diverse array of physical activity topics, with YouTube being the most studied platform due to its widespread use and ease of content evaluation. This review also highlights the prevalence of low-quality information across various platforms and a lack of longitudinal investigations. Our review underscores the need for multifaceted research approaches and suggests several strategies to combat misinformation, including improved messaging, high-quality information dissemination by institutions, detailed debunking efforts, and raising awareness about misinformation. Future research should focus on understanding the spread of physical activity misinformation across platforms and its impact, especially on vulnerable populations.

trial registrationPROSPERO CRD42022316101; https://www.crd.york.ac.uk/PROSPERO/view/CRD42022316101.

Indexed as

CommunicationExerciseSocial MediaHumansAIartificial intelligencedigital healthexercisehealth misinformationkinesiologyonline contentonline misinformationphysical activitysocial mediasystematic review

Identifiers

PMID41061255
PMCPMC12547344

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.