Evidence map›Paper›PMID 42048667›Full record

ArticleJMIR mental health2026

Prevalence of Cognitive Distortion Markers in a Suicide Prevention Chat Service: Mixed Methods Study.

Marijn Ten Thij, Saskia Mérelle, Renske Gilissen, Johan Bollen

Abstract read
In one paragraph

Article in JMIR mental health, 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.

Marijn Ten ThijDepartment of Intelligent Systems, Tilburg School of Humanities and Digital Sciences, Tilburg University, Warandelaan 2, Tilburg, 5037 AB, The Netherlands.ORCID http://orcid.org/0000-0002-7186-7344
Saskia Mérelle113 Suicide Prevention, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-1748-7700
Renske Gilissen113 Suicide Prevention, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-8009-6326
Johan BollenCentre for Social and Biomedical Complexity, Indiana University Bloomington, Bloomington, IN, United States.ORCID http://orcid.org/0000-0001-7031-9293

Funding

Skin cancer on social media: Analyzing current communications, modeling diffusion potential, and developing innovative prevention-focused messagesR01CA279679 · NCI · TRUSTEES OF INDIANA UNIVERSITY · PI WALSH-BUHI, ERIC RICHARD · 2024 to 2025
$2.2M
#EverythingSucks: Understanding the bidirectional relations between vulnerability to internalizing symptoms in youth (13-20) and social mediacontentR01MH135502 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI Johan L. Bollen, Lorenzo Lorenzo Luaces · 2024 to 2026
$1.8M
Pre-exposure prophylaxis (PrEP) information on social mediaR21HD108052 · NICHD · TRUSTEES OF INDIANA UNIVERSITY · PI WALSH-BUHI, ERIC RICHARD · 2023 to 2024
$445k
NCI NIH HHS R01 CA279679NICHD NIH HHS R21 HD108052NIMH NIH HHS R01 MH135502
6 · The paper itself

Abstract

Background: Suicide helplines increasingly employ chat services to aid those in urgent need, but the wording and structure of text-driven exchanges may affect their effectiveness. Objective: Given the association of cognitive distortions with depression and anxiety, this study investigated their prevalence in the language of individuals seeking help from the Dutch 113 suicide helpline. Methods: We observed the prevalence of cognitive distortions for both help seekers and counselors in a large volume of chat sessions (N=71,148) of the Dutch 113 suicide chat helpline using natural language processing. The results were compared to 2 large collections of online text data from Dutch social media and web content. Results: We found that nearly all types of cognitive distortions are more prevalent in the language of help seekers compared to the control group of helpline counselors. Distortions of the personalizing, emotional reasoning, and mental filtering types were, respectively, 20.22, 7.87, and 4.53 times more prevalent among help seekers, revealing a distinct pattern of thought and language among individuals affected by suicidality. Conclusions: Our results raise the prospect of improving the effectiveness of online therapeutic interventions that target cognitive distortions through lexical analysis that detects the cognitive and lexical markers of suicidality.

Indexed as

HotlinesSuicide PreventionAdultCounselorsFemaleHumansMaleMental Health TeletherapyMiddle AgedNetherlandsPrevalencecognitive behavioral therapycognitive distortionsnatural language processingonline suicide prevention helplinesuicide prevention

Identifiers

PMID42048667
PMCPMC13124084

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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.