Evidence map›Paper›PMID 38110995›Full record

ArticleMolecular autism2023

The biosocial correlates and predictors of emotion dysregulation in autistic adults compared to borderline personality disorder and nonclinical controls.

Doha Bemmouna, Amine Lagzouli, Luisa Weiner

Open access · goldAbstract read
In one paragraph

Article in Molecular autism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% of its field
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Autistic Traits and Camouflaging: A Meta-Analysis.Autism : the international journal of research and practice · 2026
    Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Psychiatric Emergency Visits of Autistic Adults With or Without Documented Borderline Personality Disorder.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  7. Article
  8. Dialectical Behavior Therapy in Autism.Current psychiatry reports · 2025
    Review
  9. Article
  10. 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

3 authors at 3 institutions in 2 countries.

Doha BemmounaDepartment of Psychology, University of Strasbourg, 12 Rue Goethe, 67000, Strasbourg, France. contact@bemmouna-psytcc.com.
Amine LagzouliMSME, CNRS UMR 8208, Paris-Est Créteil University, Gustave Eiffel University, 94010, Créteil, France.
Luisa WeinerDepartment of Psychology, University of Strasbourg, 12 Rue Goethe, 67000, Strasbourg, France. weiner@unistra.fr.
Centre National de la Recherche Scientifique · FRHôpital Civil, Strasbourg · FRUniversité de Strasbourg · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmotion dysregulation (ED) is a core symptom of borderline personality disorder (BPD), whose aetiology has been attributed to biosocial factors. In autism spectrum condition (ASC), although ED is prevalent and is associated with decreased well-being (e.g. self-harm, suicidality), it has been understudied, especially in adults. It is therefore crucial to further understand ED in autistic adults to improve its treatment. Our study investigates ED, its behavioural correlates (e.g. self-harm, suicidality) and biosocial predictors in autistic adults relative to BPD and nonclinical controls (NC).

methodsA total of 724 participants (ASC = 154; BPD = 111; NC = 459) completed 11 self-reported questionnaires assessing ED, ASC and BPD traits, co-occurring disorders, alexithymia, emotional vulnerability and invalidating experiences (e.g. bullying, autistic camouflaging). The occurrence of ED behavioural correlates (i.e. self-harm, history of suicide attempts, and psychiatric hospitalizations) was collected. In addition, between-groups analyses, linear regressions and machine learning (ML) models were used to identify ED predictors in each group.

resultsED and its behavioural correlates were higher in ASC compared to NC, but milder than in BPD. While gender did not predict ED scores, autistic women had increased risk factors to ED, including sexual abuse and camouflaging. Interestingly, BPD traits, emotional vulnerability and alexithymia strongly predicted ED scores across the groups. Using ML models, sensory sensitivity and autistic camouflaging were associated with ED in ASC, and ADHD symptoms with ED in BPD. LIMITATIONS: ASC and BPD diagnoses were self-reported, which did not allow us to check their accuracy. Additionally, we did not explore the transactional and the moderating/mediating relationships between the different variables. Moreover, our research is cross-sectional and cannot draw conclusions regarding the direction and causality of relationships between ED and other clinical dimensions.

conclusionsED and its behavioural correlates are heightened in BPD compared to ASC and nonclinical controls. In the ASC group, there were no gender differences in ED, despite the heightened exposure of autistic women to ED risk factors. BPD traits, emotional vulnerability, and alexithymia are core to ED regardless of diagnosis. Although less central, sensory sensitivity and autistic camouflaging seem to be specific predictors of ED in autistic adults.

Indexed as

Autistic DisorderBorderline Personality DisorderAdultCross-Sectional StudiesEmotionsFemaleHumansSurveys and QuestionnairesAetiologyAutism spectrum conditionBiosocialBorderline personality disorderEmotion dysregulationNon-suicidal self-injurySuicidality

Identifiers

PMID38110995
PMCPMC10726572
OpenAlexW4389884580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.