Evidence map›Paper›PMID 41688813›Full record

ArticleJournal of autism and developmental disorders2026

Evaluating Emotion Dysregulation in Autism: Validation and Application of the Emotion Dysregulation Inventory to Identify Subgroup Profiles.

Monica S Treviño, Emily D Gerstein

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Article in Journal of autism and developmental disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Monica S TreviñoDepartment of Psychological Sciences, University of Missouri - St. Louis, 1 University Blvd, St. Louis, MO, 63121, USA.ORCID https://orcid.org/0000-0002-1369-8044
Emily D GersteinDepartment of Psychological Sciences, University of Missouri - St. Louis, 1 University Blvd, St. Louis, MO, 63121, USA. gersteine@umsl.edu.ORCID http://orcid.org/0000-0001-5218-0785

Funding

University of Missouri-St. Louis University of Missouri-St. Louis
6 · The paper itself

Abstract

purposeAutistic youth experience high rates of emotion dysregulation, which can significantly impact functioning and quality of life. Despite its clinical significance, emotion dysregulation remains understudied and misunderstood, with few validated measures for use in autistic youth. This study aimed to further validate the Emotion Dysregulation Inventory (EDI) and explore its utility in understanding emotion dysregulation, its relationship with autism symptoms, and its associations with treatment-relevant factors.

methodsCaregivers of autistic youth aged 6-11, recruited through the SPARK initiative, completed questionnaires on child behaviors, emotions, and experiences. A total of 320 families were included, with oversampling of minoritized racial and ethnic backgrounds. Structural equation modeling was used to confirm the EDI's two-factor structure and measurement invariance across diverse groups. Latent profile analysis (LPA) and the R3STEP procedure were used to identify subgroups based on emotion dysregulation and autism symptom severity and examine associations with child and family factors.

resultsThe EDI demonstrated robust psychometric properties, with measurement invariance supporting its use across diverse racial and ethnic groups, as well as for youth with or without a history of language disorder. LPA identified three phenotypic subgroups, each showing meaningful associations with child and family characteristics, including behavioral problems, parental stress, and sleep disturbances.

conclusionThis study contributes to our understanding of emotion dysregulation in autism by supporting the EDI's validity in diverse samples and highlighting associations with autism symptoms, comorbidities, and other challenges. Integrating emotion dysregulation into clinical conceptualizations can improve the quality of care for autistic youth.

Indexed as

AutismEmotion dysregulationEmotion dysregulation inventory

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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.