Evidence map›Paper›PMID 41938940›Full record

ArticleFrontiers in public health2026

Reliability and quality assessment of internet videos as guidance for dietary weight loss intervention: a cross-sectional study in China.

Shiqi Zhou, Yongjian Zhang, Xiaohong Chen, Qianqian Zhong, Fengqin Sun, Rui Xu, Zhongli Sun, Junying Sun, Lin Yang, Zhuoxian Xie and 5 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

15 authors.

Shiqi Zhou *School of Future Technology, South China University of Technology, Guangzhou, China.
Yongjian Zhang *Health Management Center, Peking University Shenzhen Hospital, Shenzhen, China.
Xiaohong ChenHealth Management Center, Peking University Shenzhen Hospital, Shenzhen, China.
Qianqian ZhongHealth Management Center, Peking University Shenzhen Hospital, Shenzhen, China.
Fengqin SunShenzhen Family Doctors Association, Shenzhen, China.
Rui XuShenzhen Nanshan District Medical Group Headquarters, Shenzhen, China.
Zhongli SunShenzhen Nanshan District Medical Group Headquarters, Shenzhen, China.
Junying SunShenzhen Nanshan District Medical Group Headquarters, Shenzhen, China.
Lin YangHealth Management Center, Peking University Shenzhen Hospital, Shenzhen, China.
Zhuoxian XieSchool of Future Technology, South China University of Technology, Guangzhou, China.
Qianle ZhangSchool of Future Technology, South China University of Technology, Guangzhou, China.
Shiqi YanSchool of Future Technology, South China University of Technology, Guangzhou, China.
Yongjiang CaiHealth Management Center, Peking University Shenzhen Hospital, Shenzhen, China.
Hanyi YuSchool of Future Technology, South China University of Technology, Guangzhou, China.
Yanwu XuSchool of Future Technology, South China University of Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity, a chronic condition affecting multiple physiological systems, poses major public health challenges. Dietary interventions are widely recognized as effective strategies for weight management. With over 4 billion Internet users worldwide, an increasing number of individuals rely on online platforms for health information. In China, TikTok, Bilibili, and Kwai are major channels for disseminating health-related content. However, the quality of dietary weight loss information on these platforms remains unclear. Objective: This study aims to assess the reliability and quality of the information in Chinese videos on dietary weight loss shared on the BiliBili, TikTok, and Kwai, three video-sharing platforms. Methods: We identified the top 100 dietary weight-loss videos on each platform in February 2024, resulting in a total of 300 videos. Video information quality and reliability were assessed using the Global Quality Score (GQS) and modified DISCERN (mDISCERN). Correlations between video quality and video characteristics were also analyzed. Results: The average GQS scores for BiliBili, TikTok, and Kwai were 2.04, 1.81, and 1.70, respectively, while the average mDISCERN scores were 2.01, 1.81, and 1.73. Median scores for both tools across all platforms were 2. BiliBili showed significantly higher GQS scores than TikTok and Kwai ( Conclusion: While acknowledging limitations regarding cross-sectional design and specific sampling of single keyword and Chinese platforms, our findings highlight that the prevalence of low-quality videos on Chinese social media exposes viewers to significant risks of misinformation and inappropriate dieting. These findings underscore the need to promote digital health literacy and improve strategies for digital health communication.

Indexed as

InternetObesityVideo RecordingWeight LossWeight Reduction ProgramsChinaCross-Sectional StudiesDigital MediaHumansReproducibility of Resultsdietary interventioninternet videosquality assessmentreliability assessmentweight loss

Identifiers

PMID41938940
PMCPMC13044112

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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.