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Record W4406779254 · doi:10.1192/bjo.2024.831

Understanding social behaviours across neurodiverse young people: roles of social cognition and self-regulation

2025· article· en· W4406779254 on OpenAlexafffundabout
Iciar Iturmendi-Sabater, Evdokia Anagnostou, Marc A. Fournier, Jennifer Crosbie, Russell Schachar, Rob Nicolson, Stelios Georgiadis, Elizabeth Kelley, Jessica Jones, Jessica Brian, Hsiang‐Yuan Lin, Meng‐Chuan Lai

Bibliographic record

VenueBJPsych Open · 2025
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsQueen's UniversityMcMaster UniversityLawson Health Research InstituteWestern UniversityHospital for Sick ChildrenThe Scarborough HospitalUniversity of TorontoHolland Bloorview Kids Rehabilitation HospitalCentre for Addiction and Mental Health
FundersInstitute of Gender and HealthTemerty Faculty of Medicine, University of TorontoCanadian Institutes of Health ResearchGovernment of OntarioCampbell Family Mental Health Research InstituteOntario Brain InstituteHospital for Sick ChildrenUniversity of TorontoBloorview Research InstituteChildren's Health Research InstituteUniversity of Toronto ScarboroughLawson Health Research Institute“la Caixa” FoundationQueen's UniversityMcMaster University
KeywordsPsychologySocial cognitionCognitionTheory of mindSocial cognitive theoryDevelopmental psychologyAssociation (psychology)NeuropsychologyPsychiatry

Abstract

fetched live from OpenAlex

Background Differences in social behaviours are common in young people with neurodevelopmental conditions (NDCs). Recent research challenges the long-standing hypothesis that difficulties in social cognition explain social behaviour differences. Aims We examined how difficulties regulating one's behaviour, emotions and thoughts to adapt to environmental demands (i.e. dysregulation), alongside social cognition, explain social behaviours across neurodiverse young people. Method We analysed cross-sectional behavioural and cognitive data of 646 6- to 18-year-old typically developing young people and those with NDCs from the Province of Ontario Neurodevelopmental Network. Social behaviours and dysregulation were measured by the caregiver-reported Adaptive Behavior Assessment System Social domain and Child Behavior Checklist Dysregulation Profile, respectively. Social cognition was assessed by the Neuropsychological Assessment Affect-Recognition and Theory-of-Mind, Reading the Mind in the Eyes Test, and Sandbox continuous false-belief task scores. We split the sample into training ( n = 324) and test ( n = 322) sets. We investigated how social cognition and dysregulation explained social behaviours through principal component regression and hierarchical regression in the training set. We tested social cognition-by-dysregulation interactions, and whether dysregulation mediated the social cognition–social behaviours association. We assessed model fits in the test set. Results Two social cognition components adequately explained social behaviours (13.88%). Lower dysregulation further explained better social behaviours ( β = −0.163, 95% CI −0.191 to −0.134). Social cognition-by-dysregulation interaction was non-significant ( β = −0.001, 95% CI −0.023 to 0.021). Dysregulation partially mediated the social cognition–social behaviours association (total effect: 0.544, 95% CI 0.370–0.695). Findings were replicated in the test set. Conclusions Self-regulation, beyond social cognition, substantially explains social behaviours across neurodiverse young people.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.106
GPT teacher head0.387
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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