Evidence map›Paper›PMID 35588057›Full record

ArticleJMIR formative research2022

Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis.

Corey H Basch, Lorie Donelle, Joseph Fera, Christie Jaime

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
14.1field-weighted citation impact, top 1% of its field
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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 103 citations in OpenAlex.

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  9. Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2026
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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

4 authors at 3 institutions in 2 countries.

Corey H BaschDepartment of Public Health, William Paterson University, Wayne, NJ, United States.ORCID https://orcid.org/0000-0003-4862-4229
Lorie DonelleArthur Labatt Family School of Nursing, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0001-9276-8639
Joseph FeraDepartment of Mathematics, Lehman College, City University of New York, Bronx, NY, United States.ORCID https://orcid.org/0000-0002-9394-8735
Christie JaimeDepartment of Public Health, William Paterson University, Wayne, NJ, United States.ORCID https://orcid.org/0000-0003-3613-5284
William Paterson University · USLehman College · USWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media platforms that are based on the creation of visual media, such as TikTok, are increasingly popular with adolescents. Online social media networks provide valuable opportunities to connect with each other to share experiences and strategies for health and wellness.

objectiveThe aim of this study was to describe the content of the hashtag #mentalhealth on TikTok.

methodsThis cross-sectional, descriptive content analysis study included 100 videos with the hashtag #mentalhealth on TikTok. All videos that included the hashtag #mentalhealth were analyzed and coded for the presence of content categories. Additionally, the comments to each video were viewed and coded for content in the following themes: offering support or validation; mentioning experience with suicide or suicidal ideation; mentioning experience with self-harm; describing an experience with hospitalization for mental health issues; describing other mental health issues; and sharing coping strategies, experiences of healing, or ways to feel better.

resultsCollectively, the 100 videos studied received 1,354,100,000 views; 266,900,000 likes; and 2,515,954 comments. On average, each video received 13,406,930.69 (SD 8,728,095.52) views; 2,657,425.74 (SD 1,449,920.45) likes; and 24,910.44 (SD 21,035.06) comments. The only content category observed in most (51/100, 51%) of the videos included in the sample was "general mental health." The remaining content categories appeared in less than 50% of the sample. In total, 32% (32/100) of the videos sampled received more than the overall average number of likes (ie, more that 2.67 million likes). Among these 32 videos, 23 (72%) included comments offering support or validation and 20 (62%) included comments that described other mental health issues or struggles.

conclusionsWith over 1 billion cumulative views, almost half of the assessed TikTok videos included in this study reported or expressed symptoms of mental distress. Future research should focus on the potential role of intervention by health care professionals on social media.

Indexed as

adolescentcontent analysisdescriptive content analysisdigital healthhealth care professionalhealth professionalmental distressmental healthonline healthshort video appssocial mediaTikTokvisual media

Identifiers

PMID35588057
PMCPMC9164092
OpenAlexW4280532034

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.