Evidence map›Paper›PMID 41229485›Full record

ArticleFrontiers in public health2025

Videos in short video sharing platforms as a source of information on bipolar disorder: a cross-sectional content analysis study.

Xin Qi, Qi Lu, Bo Li, Sha Liu, Lei Zhang, Runwu Xiang, Qilong Wang, Dongrong Zhao

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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.

Xin Qi *Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Qi Lu *Yan'an University, Xi'an, Shaanxi, China.
Bo Li *Qiqihar Medical College, Qiqihar, Heilongjiang, China.
Sha LiuGansu University of Chinese Medicine, Lanzhou, Gansu, China.
Lei ZhangGansu University of Chinese Medicine, Lanzhou, Gansu, China.
Runwu XiangGansu University of Chinese Medicine, Lanzhou, Gansu, China.
Qilong WangGansu University of Chinese Medicine, Lanzhou, Gansu, China.
Dongrong ZhaoDepartment of Psychiatry, Gansu Provincial People's Hospital, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bipolar disorder is a prevalent mental health issue characterized by recurrent episodes of mania and depression, significantly impacting patients' quality of life. With the rise of short video sharing platforms, there is an urgent need to evaluate the quality and reliability of the medical information disseminated regarding this disorder. Objective: This study aimed to assess the quality and reliability of videos related to bipolar disorder available on popular Chinese short video platforms, including TikTok, Kwai, Bilibili, WeChat, Xiaohongshu, and Baidu. Methods: A cross-sectional content analysis was conducted in May 2025, using keywords related to bipolar disorder to retrieve relevant videos from selected platforms. The quality of the videos was evaluated using multiple standardized assessment tools, including the JAMA Benchmarking Criteria, GQS, modified DISCERN, PEMAT, and HONCODE. Results: Significant differences in video quality and audience engagement metrics were observed across platforms. TikTok and Kwai had higher quality scores, while WeChat resulted in more comments. Most videos were created by medical professionals, although independent users also contributed content. Overall, video quality was inconsistent and not necessarily correlated with engagement metrics, highlighting the necessity for improved standards in disseminating health-related information on social media. Conclusion: On Chinese short video platforms, clinical practitioners are the main creators of bipolar disorder-related content, but their scientific nature, production quality, and information transparency still need to be improved. It is suggested to improve the platform management, creator training, and algorithm optimization, so as to promote the improvement of public mental health literacy.

Indexed as

Bipolar DisorderInformation DisseminationSocial MediaVideo RecordingChinaCross-Sectional StudiesHumansInformation SourcesReproducibility of Resultsbipolar disordercontent analysishealth informationquality and reliability assessmentshort videos

Identifiers

PMID41229485
PMCPMC12602428

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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.