Evidence map›Paper›PMID 42902775›Full record

Observational studyJMIR formative research2026

Content, Engagement, and Information Quality of Borderline Personality Disorder Videos on TikTok: Mixed Methods Analysis.

Gabrielle Evoy, Simon Poirier, Majorie Vadnais, Alexandre Hudon

Abstract readObservational Study
In one paragraph

Observational study in JMIR formative 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

4 authors.

Gabrielle EvoyDépartement de psychiatrie et d'addictologie, Faculté de médecine, Université de Montréal, 2900 Bd Édouard-Montpetit, Montréal, QC, H3T 1J4, Canada, 1 (514) 343-6111.ORCID http://orcid.org/0009-0000-1897-8849
Simon PoirierDépartement de psychiatrie et d'addictologie, Faculté de médecine, Université de Montréal, 2900 Bd Édouard-Montpetit, Montréal, QC, H3T 1J4, Canada, 1 (514) 343-6111.ORCID http://orcid.org/0009-0004-4307-0372
Majorie VadnaisDépartement de psychiatrie et d'addictologie, Faculté de médecine, Université de Montréal, 2900 Bd Édouard-Montpetit, Montréal, QC, H3T 1J4, Canada, 1 (514) 343-6111.ORCID http://orcid.org/0009-0003-5716-5420
Alexandre HudonDépartement de psychiatrie et d'addictologie, Faculté de médecine, Université de Montréal, 2900 Bd Édouard-Montpetit, Montréal, QC, H3T 1J4, Canada, 1 (514) 343-6111.ORCID http://orcid.org/0000-0002-4868-0928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: TikTok has become a major source of mental health information, yet concerns persist regarding the quality and reliability of psychiatric content disseminated on the platform. While misinformation has been documented for several mental disorders, no study has specifically examined how borderline personality disorder (BPD) is portrayed on TikTok. Objective: This study aims to characterize TikTok content related to BPD by describing its thematic content, engagement patterns, presenter characteristics, and indicators of information quality using a mixed methods secondary analysis. Methods: This mixed methods observational study performed a secondary analysis of a previously established dataset of publicly available TikTok videos related to mental health. A total of 207 videos addressing BPD or BPD-like traits were included. Quantitative analyses summarized video characteristics, engagement metrics, presenter backgrounds, content type, intent, and authenticity indicators using descriptive statistics. Qualitative data were analyzed using reflexive thematic analysis following Braun and Clarke's methodology to identify recurrent narratives related to BPD. Results: Among the 207 included videos, 185 (89.4%) were in English and 199 (96.1%) targeted the general public. Most creators (n=124, 59.9%) did not disclose professional credentials, whereas psychiatrists (n=18, 8.7%) and psychologists (n=16, 7.7%) represented the largest identified professional groups. Seven overarching themes were identified: understanding personality disorders, treatment and management, interpersonal relationships, myths and misconceptions, co-occurring disorders, personal experiences, and diagnosis and classification. Videos focused on personal experiences generated the highest audience engagement (mean weighted likes 2389, SD 6529; favorites 333, SD 707; shares 117, SD 287), whereas treatment-focused videos demonstrated substantially lower engagement (mean weighted likes 222, SD 360; favorites 54, SD 77; shares 19, SD 40). Opinion-based or mixed-content formats predominated across most themes. Reference-based information remained limited, ranging from 0% to 33.3% depending on thematic category, while misinformation was observed across multiple themes, particularly understanding personality disorders (20/81, 24.7%) and diagnosis and classification (14/48, 29.2%). Experiential and relational narratives were substantially more prominent and engaging than evidence-based psychoeducational content. Conclusions: TikTok discourse surrounding BPD is dominated by experiential narratives that foster engagement but frequently rely on opinion-based rather than evidence-based information. Although many videos may provide validation and reduce stigma, the limited use of references and the persistence of misinformation highlight the need for the greater involvement of mental health professionals in producing accessible, accurate, and engaging digital content. To our knowledge, these findings provide the first focused overview of BPD-related content on TikTok and may inform future strategies to improve the quality of online mental health information.

Indexed as

Borderline Personality DisorderDigital MediaHumansQualitative ResearchSecondary Data Analysisborderline personality disorderdigital psychiatryhealth misinformationmental healthpersonality disorderspsychoeducationqualitative researchsocial mediathematic analysisTikTok

Identifiers

PMID42902775
PMCPMC13683317

What OpenQuestion holds

Textmetadata
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.