Evidence map›Paper›PMID 42155025›Full record

ArticleJournal of medical Internet research2026

Why People Conceal Mental Health Problems: Qualitative Analysis of TikTok Posts.

Chloe Roske, Kael Ragnini, Qinchun Zhu, Ashari Palmer, Meredith R Kells, Heather A Davis, Matthew K Nock

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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

7 authors.

Chloe RoskeDepartment of Psychology, Harvard University, 33 Kirkland Ave, Cambridge, MA, 02138, United States, 1 6464775894.ORCID http://orcid.org/0000-0002-3365-7485
Kael RagniniDepartment of Psychology, Harvard University, 33 Kirkland Ave, Cambridge, MA, 02138, United States, 1 6464775894.ORCID http://orcid.org/0000-0001-8728-092X
Qinchun ZhuDepartment of Psychology, Harvard University, 33 Kirkland Ave, Cambridge, MA, 02138, United States, 1 6464775894.ORCID http://orcid.org/0009-0003-7248-6310
Ashari PalmerDepartment of Psychology, Harvard University, 33 Kirkland Ave, Cambridge, MA, 02138, United States, 1 6464775894.ORCID http://orcid.org/0009-0004-4654-5687
Meredith R KellsSchool of Nursing, University of Rochester, Rochester, NY, United States.ORCID http://orcid.org/0000-0002-9982-9964
Heather A DavisDepartment of Psychology, Virginia Tech, Blacksburg, VA, United States.ORCID http://orcid.org/0000-0002-3529-9175
Matthew K NockDepartment of Psychology, Harvard University, 33 Kirkland Ave, Cambridge, MA, 02138, United States, 1 6464775894.ORCID http://orcid.org/0000-0001-6508-1145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Concealment of psychiatric symptoms is a barrier to effective mental health treatment, particularly among patients with suicidal thoughts and behaviors. Prior research on concealment has relied on retrospective self-report or laboratory-based interviews, which may not capture real-world decision-making about disclosure. Social media platforms such as TikTok provide a context in which individuals publicly narrate their experiences about concealing psychiatric symptoms, offering insight into motivations for concealment uninfluenced by experimenter demand characteristics. Objective: To understand patient decision-making about when to conceal and when to disclose psychiatric symptoms, this study examined social media content about patient experiences of concealing mental health symptoms. TikTok was chosen because it is the fastest-growing social media platform, and social media platforms provide an open-ended format for people to express their thoughts and feelings on various topics. Methods: Using a newly created TikTok account to minimize algorithmic bias, we identified and downloaded the 25 most-viewed English-language videos from 4 search terms about concealment in clinical contexts ("lying to therapist," "lying to my therapist," "lying to doctor about mental health," and "lying to doctors about mental health"). After exclusions, 98 videos were included in the analysis. Videos were analyzed using reflexive thematic analysis. Four coders collaboratively developed a codebook through iterative review, triangulation, and consensus discussions. Engagement metrics (views, likes, comments, shares, saves) were recorded and summarized. Results: The 98 videos had 73,252,531 views, 14,356,874 likes, 74,954 comments, 770,027 shares, and 1,204,006 saves. Four themes were constructed among the 90 videos that explicitly discussed motivations for concealment: (1) disclosure perceived as punitive (31/90, 34.4% of videos), including desire to avoid hospitalization (17/90, 18.8%); (2) managing others' feelings and impressions (28/90, 31.1%), including fear of upsetting therapists (5/90, 5.5%) and maintaining a façade of wellness (7/90, 7.7%); (3) negative emotions or inability to identify feelings (21/90, 23.3%), including fear of vulnerability (6/90, 6.6%); and (4) negative opinions of psychiatric treatment (17/90, 18.8%), including concerns about confidentiality (3/90, 3.3%). An exploratory theme captured ambivalence and guilt surrounding nondisclosure. Conclusions: Results provide insight into patient motivations for concealing their suicidal thoughts and behaviors and offer potential avenues for improving rates of disclosure, which is critical to reducing death by suicide. TikTok creators frequently described concealment as a strategy to avoid perceived punitive consequences, manage interpersonal dynamics, or cope with emotional distress. Findings suggest that current risk management practices and stigma surrounding psychiatric care may unintentionally reinforce concealment behaviors. These insights may inform interventions aimed at improving the therapeutic alliance, enhancing transparency around hospitalization criteria, and reducing barriers to honest reporting of suicide risk.

Indexed as

Mental DisordersSocial MediaDigital MediaHumansconcealmentdisclosuresocial mediasuicideTikTok

Identifiers

PMID42155025
PMCPMC13186437

What OpenQuestion holds

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LicenceCC BY
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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.