Evidence map›Paper›PMID 42717129›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2026

When sleep advice goes viral: medical reliability of insomnia content on TikTok.

Styliani Papadopoulou, Aliki Karkala, Ellen Engelshove, Dries Testelmans, Paschalis Steiropoulos, Alexandros Kalkanis

Abstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep 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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0citing papers in PubMed
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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

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

6 authors.

Styliani PapadopoulouMedical School, Democritus University of Thrace, Alexandroupolis, Greece.
Aliki KarkalaDepartment of Pulmonology, Center for Sleep and Wake Disorders (LUCS), UZ Leuven, Leuven, Belgium.
Ellen EngelshoveDepartment of Pulmonology, Center for Sleep and Wake Disorders (LUCS), UZ Leuven, Leuven, Belgium.
Dries TestelmansDepartment of Pulmonology, Center for Sleep and Wake Disorders (LUCS), UZ Leuven, Leuven, Belgium.
Paschalis SteiropoulosDepartment of Pulmonology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.
Alexandros KalkanisDepartment of Pulmonology, Center for Sleep and Wake Disorders (LUCS), UZ Leuven, Leuven, Belgium. alexandros.kalkanis@uzleuven.be.ORCID 0000-0002-1740-6782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reliability and educational quality of TikTok videos addressing insomnia management remain uncertain. A total of 127 TikTok videos were assessed with Global Quality Score (GQS) for educational value and with Viewing and Engagement Index for popularity. Among these, 66 videos by general users, 20 by physicians, 32 by other healthcare professionals, and 9 by brand-affiliated accounts showed overall poor quality: only 20 videos (15.7%) had high educational value, while another 11 (8.7%) had moderate educational value; only 5 videos received the highest score for consistency with guidelines, only 5 videos recommended consulting a physician, and only 2 included scientific references. Approximately 55% of physicians' videos had GQS ≥ 3, compared with 25%, 18%, and 0% of other healthcare professionals, general users, and brand accounts respectively. GQS was not correlated with engagement metrics. Sponsored videos were associated with lower-quality content. In conclusion, TikTok videos related to insomnia management generally do not provide reliable, guidelines-based information, raising concerns regarding the use of TikTok as a source of insomnia management information.

Indexed as

Patient Education as TopicSleep Initiation and Maintenance DisordersVideo GamesVideo RecordingDigital MediaHumansReproducibility of ResultsGlobal Quality ScoreInsomniaSocial mediaTikTokViewing and Engagement Index

Identifiers

PMID42717129
PMCPMC13558517

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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.