Evidence map›Paper›PMID 41644733›Full record

ArticleScientific reports2026

Quality and reliability of weight management short videos on TikTok and Bilibili: cross-sectional study.

Lijun Han, Feifan Liu, Zibing Wang, Ning Tang, Xiaobin Li, Xiaoyan Liu, Yixin Wang, Haizhen Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Lijun HanDepartment of Clinical Nutrition, Weifang People's Hospital, Shandong Second Medical University, Kuiwen District, 151 Guangwen Street, Weifang, Shandong, China.
Feifan LiuDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Zibing WangDepartment of Clinical Nutrition, Weifang People's Hospital, Shandong Second Medical University, Kuiwen District, 151 Guangwen Street, Weifang, Shandong, China.
Ning TangDepartment of Clinical Nutrition, Weifang People's Hospital, Shandong Second Medical University, Kuiwen District, 151 Guangwen Street, Weifang, Shandong, China.
Xiaobin LiDepartment of Clinical Nutrition, Weifang People's Hospital, Shandong Second Medical University, Kuiwen District, 151 Guangwen Street, Weifang, Shandong, China.
Xiaoyan LiuDepartment of Clinical Nutrition, Weifang People's Hospital, Shandong Second Medical University, Kuiwen District, 151 Guangwen Street, Weifang, Shandong, China.
Yixin WangShandong Second Medical University, Weifang, Shandong, China.
Haizhen LiuDepartment of Clinical Nutrition, Weifang People's Hospital, Shandong Second Medical University, Kuiwen District, 151 Guangwen Street, Weifang, Shandong, China. lhzcwsh@126.com.

Funding

the research project on the high-quality development of clinical nutrition work of the National Institute of Hospital Administration, NHC 2025-1-Y-05
6 · The paper itself

Abstract

Weight management has become a major focus in worldwide health, and platforms like TikTok and Bilibili are now popular for health information. However, the quality and reliability of weight management content on these platforms remain uncertain. This research systematically evaluated such videos to provide evidence-based guidance for public health communication. We analyzed the top 100 weight management videos from TikTok and Bilibili, recording their sources, content, and characteristics. The DISCERN instrument, JAMA benchmark criteria, and Global Quality Score (GQS) were used to evaluate video quality and reliability. Further analysis was conducted to explore the relationship between video quality and video characteristics. While TikTok videos attracted more likes, saves, comments, and shares, Bilibili videos were longer and exhibited higher quality and reliability (all P < 0.001). Videos from doctors and non-profit organizations had the highest DISCERN and GQS scores, while those from fitness bloggers and individual users were more popular but of lower quality. Video duration was positively associated with quality, whereas engagement indicators (likes, comments, shares, saves) were negatively associated with both GQS and DISCERN. Overall, the quality of weight management videos on TikTok and Bilibili was poor, although Bilibili performed better than TikTok. Doctors and non-profit organizations produced higher-quality content, highlighting the need for stronger platform review and greater professional contributions to improve the dissemination of reliable health information.

Indexed as

Social MediaVideo RecordingCross-Sectional StudiesDigital MediaHumansReproducibility of ResultsBilibiliSocial mediaTikTokVideo qualityVideo reliabilityWeight management

Identifiers

PMID41644733
PMCPMC12929583

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.