Evidence map›Paper›PMID 42670511›Full record

ArticleNature and science of sleep2026

Quality and Reliability of Social Media Videos on Weight-Loss Interventions for Obstructive Sleep Apnea: A Multi-Platform Cross-Sectional Study.

Rexidanmu Hudabai, Jiaomin Jian, Peng Yang, Yan Yi, Yingxiang Xu, Aiqing Peng, Jingyu Yao, Xianzhen Chen

Abstract read
In one paragraph

Article in Nature and science of sleep, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rexidanmu Hudabai *Department of Anesthesiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong Province, People's Republic of China.
Jiaomin Jian *Department of Anesthesiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong Province, People's Republic of China.
Peng Yang *Department of Anesthesiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong Province, People's Republic of China.ORCID 0009-0004-6914-8027
Yan YiDepartment of Otolaryngology, Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong Province, People's Republic of China.
Yingxiang XuDepartment of Otolaryngology, Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong Province, People's Republic of China.
Aiqing PengDepartment of Otolaryngology, Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong Province, People's Republic of China.
Jingyu YaoDepartment of Anesthesiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong Province, People's Republic of China.ORCID 0009-0007-3570-9668
Xianzhen ChenDepartment of Otolaryngology, Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong Province, People's Republic of China.ORCID 0000-0003-2018-9544

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to evaluate the quality and reliability of social media videos addressing weight loss for OSA across three major platforms (YouTube, TikTok, Bilibili) and to identify key determinants of trustworthy content. Methods: We conducted a cross-platform content analysis of publicly available videos on weight loss for OSA from YouTube, TikTok, and Bilibili, representing major video-sharing platforms with different regional audiences and content formats. The top 100 default search results from each platform were screened using predefined criteria, yielding 235 eligible videos. Video and uploader characteristics, engagement metrics, and quality scores were extracted. Videos were assessed using PEMAT, VIQI, GQS, mDISCERN, and JAMA benchmarks. The primary outcome was overall video quality assessed by the Global Quality Score (GQS), while other assessment tools were considered secondary outcomes. For TikTok, we used English-language search terms ("obstructive sleep apnea and weight loss" and "OSA and weight loss") to capture content comparable with YouTube. The Chinese-language TikTok counterpart (Douyin) was not included because it operates under a distinct platform ecosystem with different content algorithms, regional audience, and moderation policies. Results: YouTube videos scored significantly higher in understandability, actionability, and overall quality compared with TikTok and Bilibili. Content from verified institutions and healthcare professionals consistently received higher ratings across all tools. Engagement metrics (likes, shares, comments) showed weak correlations with information quality. In regression models, production quality (VIQI) and source transparency (JAMA benchmarks) emerged as the strongest predictors of content reliability, while video duration had minimal effect. Conclusion: Within digital health environments, popular engagement does not equate to informational quality for OSA-related weight-loss content. Platform- and uploader-level characteristics-particularly verification status and production standards-are key markers of reliability. These findings underscore the need for platform-level governance that prioritizes verified health sources, algorithmic transparency, and integrated digital health literacy efforts to safeguard patients navigating lifestyle advice for OSA online.

Indexed as

Bilibiliobstructive sleep apneapublic healthsocial mediaTikTokYoutube

Identifiers

PMID42670511
PMCPMC13526332

What OpenQuestion holds

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Registered trials

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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.