Evidence map›Paper›PMID 40629100›Full record

ArticleNpj mental health research2025

Psychosocial dynamics of suicidality and nonsuicidal self-injury: a digital linguistic perspective.

Charlotte Entwistle, Katie Hoemann, Sophie J Nightingale, Ryan L Boyd

Abstract read
In one paragraph

Article in Npj mental health research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Charlotte EntwistleLancaster University, Lancaster, UK. charlotte.entwistle@liverpool.ac.uk.ORCID http://orcid.org/0000-0002-2739-2644
Katie HoemannUniversity of Kansas, Lawrence, KS, USA.ORCID http://orcid.org/0000-0002-9938-7676
Sophie J NightingaleLancaster University, Lancaster, UK.ORCID http://orcid.org/0000-0002-6779-9203
Ryan L BoydUniversity of Texas at Dallas, Dallas, TX, USA.ORCID http://orcid.org/0000-0002-1876-6050

Funding

Large-scale Data Scientific Assessment of Unhealthy Alcohol Consumption Among Front-Line Restaurant WorkersR01AA028032 · NIAAA · STATE UNIVERSITY NEW YORK STONY BROOK · PI SCHWARTZ, HANSEN ANDREW · 2020 to 2023
$2.5M
SCH: Advancing Language-based Analyses of Social Media to Reliably Monitor Variation in PopulationR01MH125702 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI EICHSTAEDT, JOHANNES C., SCHWARTZ, HANSEN ANDREW · 2021 to 2024
$1.2M
Engineering and Physical Sciences Research Council EP/R513076/1Fonds Wetenschappelijk Onderzoek 12A3923NNIAAA NIH HHS NIH-NIAAA R01 AA028032NIAAA NIH HHS R01 AA028032NIMH NIH HHS NIH-NIMH R01 MH125702NIMH NIH HHS R01 MH125702
6 · The paper itself

Abstract

Self-harm-encompassing suicidality and nonsuicidal self-injury (NSSI)-presents a critical public health concern, particularly as it is a major risk factor of death by suicide. Understanding the psychosocial dynamics of self-harm is imperative. Accordingly, in a large-scale, naturalistic study, we leveraged modern language analysis methods to provide a comprehensive perspective on suicidality and NSSI, specifically in the context of borderline personality disorder (BPD), where self-harm is particularly prevalent. We utilised natural language processing techniques to analyse Reddit data (i.e., BPD forum posts) of 992 users with self-identified BPD (combined N posts = 66,786). The present findings generated further insight into the psychosocial dynamics of suicidality and NSSI, while also uncovering meaningful interactions between the online BPD community and these behaviours. By integrating advanced computational methods with psychological theory, our findings provide a nuanced understanding of self-harm, with implications for clinical practice, clinical and personality theory, and computational social science.

Identifiers

PMID40629100
PMCPMC12238424

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LicenceCC BY
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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.