Evidence map›Paper›PMID 35196157›Full record

ArticleCanadian journal of psychiatry. Revue canadienne de psychiatrie2022

TikTok and Attention-Deficit/Hyperactivity Disorder: A Cross-Sectional Study of Social Media Content Quality.

Anthony Yeung, Enoch Ng, Elia Abi-Jaoude

Abstract read
In one paragraph

Article in Canadian journal of psychiatry. Revue canadienne de psychiatrie, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 3 pooled it
–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

139 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Evaluation of Online Patient Education Materials for Acute Myeloid Leukemia.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
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79 more citing papers are in PubMed but not listed here.

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

3 authors.

Anthony YeungDepartment of Psychiatry, 12358University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-2029-4515
Enoch NgDepartment of Psychiatry, 12366University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-4505-8391
Elia Abi-JaoudeDepartment of Psychiatry, 12366University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSocial media platforms are increasingly being used to disseminate mental health information online. User-generated content about attention-deficit/hyperactivity disorder (ADHD) is one of the most popular health topics on the video-sharing social media platform TikTok. We sought to investigate the quality of TikTok videos about ADHD.

methodThe top 100 most popular videos about ADHD uploaded by TikTok video creators were classified as misleading, useful, or personal experience. Descriptive and quantitative characteristics of the videos were obtained. The Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT-A/V) and

resultsOf the 100 videos meeting inclusion criteria, 52% (

conclusionsApproximately half of the analyzed TikTok videos about ADHD were misleading. Clinicians should be aware of the widespread dissemination of health misinformation on social media platforms and its potential impact on clinical care.

Indexed as

Attention Deficit Disorder with HyperactivitySocial MediaCross-Sectional StudiesHumansInformation DisseminationUnited StatesVideo Recordingadhdattention-deficit/hyperactivity disorderdiagnosise-mental healthmisinformationpublic healthsocial mediaTikTok

Identifiers

PMID35196157
PMCPMC9659797

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.