Evidence map›Paper›PMID 42888619›Full record

ArticleMedicine2026

The quality and reliability of short videos about muscle strain on Bilibili and TikTok: Cross-sectional study.

Wenqian Du, Cheng Chen, Xiaolin Yao, Wenling Gou, Yuwen Shangguan, Xiaobo Xu, Taojing Zhuang

Abstract read
In one paragraph

Article in Medicine, 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

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wenqian DuGraduate School, Harbin Sport University, Harbin, China.ORCID 0009-0003-7123-5608
Cheng ChenGraduate School, Harbin Sport University, Harbin, China.
Xiaolin YaoInstitute of Sports Humanities and Society, Harbin Sport University, Harbin, China.
Wenling GouSanTESiH Laboratory, Faculty of Sports Sciences and Techniques, University of Montpellier, Montpellier, France.
Yuwen ShangguanDepartment of Exercise Physiology, Kunsan National University, Kunsan, South Korea.
Xiaobo XuDepartment of Orthopaedics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
Taojing ZhuangDepartment of Orthopaedics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle strain-related information is extensively shared on short video platforms, yet the quality and reliability of such content remain unassessed. This study aimed to evaluate the quality and reliability of muscle strain videos on Bilibili and TikTok. A total of 157 eligible videos were assessed using the Global Quality Score (GQS) and modified DISCERN (mDISCERN) scales. Videos were graded as high (GQS 4 to 5, mDISCERN 4 to 5), medium (GQS 3, mDISCERN 3) or low (GQS 1 to 2, mDISCERN 0-2) based on information completeness, logicality, source reliability, and objectivity. Bilibili's video quality was predominantly medium to high, while TikTok's quality showed polarization with more medium and low-scoring content. Professional institution-generated videos and scientific introduction-themed content achieved the highest scores; therapeutic content accounted for 82.8% of all videos but was mostly low to medium in quality, and causal content only made up 2.5%. TikTok had significantly higher user interaction metrics than Bilibili (all P < .05), and professional individual creators had higher video sharing volumes than professional institutions (P = .034). GQS was strongly positively correlated with mDISCERN (R = 0.86, P < .001); all interaction indicators were highly positively correlated (R ≥ 0.81, P < .001), and no significant correlation was found between interaction metrics and content quality (e.g., correlation coefficient between GQS and likes = 0.18, P > .05). Bilibili demonstrated a better overall quality of muscle strain videos compared to TikTok, which exhibited a more polarized quality distribution with a higher proportion of low-quality content. TikTok showed significantly higher user interactivity, but engagement metrics were not associated with content quality. Both platforms presented an unbalanced topic supply, with an overrepresentation of therapeutic content and a severe scarcity of causal content. These findings highlight the need for optimizing the ecosystem of health popular science short videos, providing targeted references for the public, platforms, and professionals to improve the quality and reliability of muscle strain information online.

Indexed as

Muscle, SkeletalSprains and StrainsVideo RecordingCross-Sectional StudiesDigital MediaHumansReproducibility of ResultsBilibiliinformation qualitymuscle strainshort videosTikTok

Identifiers

PMID42888619
PMCPMC13681164

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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.