Litcius/Paper detail

Quality of information in gestational diabetes mellitus videos on TikTok: Cross-sectional study

Genyan Jiang, Lei Chen, Lan Geng, Yuhan Zhang, Zhiqi Chen, Yaqi Zhu, Shuangshuang Ma, Mei Zhao

2025PLoS ONE8 citationsDOIOpen Access PDF

Abstract

BACKGROUND: TikTok is an important channel for consumers to obtain and adopt health information. However, misinformation on TikTok could potentially impact public health. Currently, the quality of content related to GDM on TikTok has not been thoroughly reviewed. OBJECTIVE: This study aims to explore the information quality of GDM videos on TikTok. METHODS: A comprehensive cross-sectional study was conducted on TikTok videos related to GDM. The quality of the videos was assessed using three standardized evaluation tools: DISCERN, the Journal of the American Medical Association (JAMA) benchmarks, and the Global Quality Scale (GQS). The comprehensiveness of the content was evaluated through six questions covering definitions, signs/symptoms, risk factors, evaluation, management, and outcomes. Additionally, a correlational analysis was conducted between video quality and the characteristics of the uploaders and the videos themselves. RESULTS: A total of 216 videos were included in the final analysis, with 162 uploaded by health professionals, 40 by general users, and the remaining videos contributed by individual science communicators, for-profit organizations, and news agencies. The average DISCERN, JAMA, and GQS scores for all videos were 48.87, 1.86, and 2.06, respectively. The videos uploaded by health professionals scored the highest in DISCERN, while the videos uploaded by individual science communicators scored significantly higher in JAMA and GQS than those from other sources. Correlation analysis between video quality and video features showed DISCERN scores, JAMA scores and GQS scores were positively correlated with video duration (P<0.001). Content scores were positively correlated with the number of comments (P<0.05), the number of shares (P<0.001), and video duration (P<0.001). CONCLUSION: We found that the quality of GDM video on TikTok is poor and lack of relevant information, highlighting the potential risks of using TikTok as a source of health information. Patients should pay attention to identifying health-related information on TikTok.

Topics & Concepts

MisinformationCross-sectional studyGestational diabetesMedicineQuality (philosophy)UploadContent analysisEnvironmental healthFamily medicinePregnancyComputer scienceWorld Wide WebGeneticsSocial scienceGestationBiologyComputer securityPhilosophyPathologySociologyEpistemologyHealth Literacy and Information AccessibilitySocial Media in Health EducationMobile Health and mHealth Applications
Quality of information in gestational diabetes mellitus videos on TikTok: Cross-sectional study | Litcius