Evidence map›Paper›PMID 39839955›Full record

ArticleDigital health

Do you have depression? A summative content analysis of mental health-related content on TikTok.

Roxanne Turuba, Marco Zenone, Raman Srivastava, Jonathan Stea, Yuri Quintana, Nikki Ow, Kirsten Marchand, Amanda Kwan, Anna-Joy Ong, Xiaoxu Ding and 5 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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.

Roxanne TurubaDepartment of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0002-5355-7932
Marco ZenoneDepartment of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0003-4201-6070
Raman SrivastavaDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
Jonathan SteaDepartment of Psychology, University of Calgary, Calgary, AB, Canada.
Yuri QuintanaDivision of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Nikki OwDepartment of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada.
Kirsten MarchandDepartment of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada.
Amanda KwanFoundry, Providence Health Care, Vancouver, BC, Canada.
Anna-Joy OngFoundry, Providence Health Care, Vancouver, BC, Canada.
Xiaoxu DingDepartment of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada.
Cassia WarrenFoundry, Providence Health Care, Vancouver, BC, Canada.
Alessandro R MarconDepartment of Psychology, University of Calgary, Calgary, AB, Canada.ORCID https://orcid.org/0000-0001-5018-423X
Jo HendersonMargaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Steve MathiasFoundry, Providence Health Care, Vancouver, BC, Canada.
Skye BarbicDepartment of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: TikTok is a global social media platform with over 1 billion active users. Presently, there are few data on how TikTok users navigate the platform for mental health purposes and the content they view. Objective: This study aims to understand the patterns of mental health-related content on TikTok and assesses the accuracy and quality of the advice and information provided. Methods: We performed a summative content analysis on the top 1000 TikTok videos with the hashtag #mentalhealth between October 12 and 16, 2021. Six content themes were developed to code the data: (1) a personal story, perspective, or confessional, (2) advice and information, (3) emoting, (4) references to death, (5) references to science or research, and (6) a product or service for sale. Advice and information were further assessed by clinical experts. Results: A total of 970 mental health-related videos were pulled for our analysis ( Conclusion: Healthcare practitioners and researchers may consider increasing their presence on the platform to promote the dissemination of evidence-based information to a wider and more youth-targeted population. Interventions to reduce the amount of misinformation on the platform and increase people's ability to discern between anecdotal and evidence-based information are also warranted.

Indexed as

health communicationmental healthmisinformationsocial mediaTikTok

Identifiers

PMID39839955
PMCPMC11748085

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.