Evidence map›Paper›PMID 42138030›Full record

ArticlePsychological medicine2026

The emotion dysregulation inventory - self-report: development and psychometric evaluation.

Caitlin M Conner, Lan Yu, Katharine N Zeglen, Paul A Pilkonis, Carla A Mazefsky

Abstract read
In one paragraph

Article in Psychological medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Caitlin M Connerhttps://ror.org/01an3r305University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Lan Yuhttps://ror.org/01an3r305University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Katharine N Zeglenhttps://ror.org/01an3r305University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0003-3864-9537
Paul A Pilkonishttps://ror.org/01an3r305University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0003-1075-0617
Carla A Mazefskyhttps://ror.org/01an3r305University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Funding

Change-sensitive Measurement of Emotion Dysregulation in ASDR01HD079512 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Carla A Mazefsky · 2014 to 2026
$6.3M
National Institute of Child Health and Human Development R01HD079512NICHD NIH HHS R01 HD079512
6 · The paper itself

Abstract

backgroundEmotion dysregulation is a transdiagnostic construct associated with multiple mental health conditions and shown to be an amenable target for treatment. The original Emotion Dysregulation Inventory (EDI) was created as a proxy-report measure validated in autistic and nonautistic youth. The goal of the current study was to develop a self-report version, the EDI-Self-Report (EDI-SR), that captures a first-person perspective and creates the option of multi-reporter measurement from adolescence through adulthood.

methodsUsing methods developed by the Patient-Reported Outcomes Measurement Information System (PROMIS), potential items and response options were written and tested in cognitive interviews. Two samples (996 participants who are autistic or have other intellectual and developmental disabilities and 1,000 participants selected to be representative of the US census as a nonclinical comparison group) completed the initial item pool. Items were assessed using exploratory and confirmatory factor analyses, item response theory analyses, concurrent calibrations, convergent correlations with comparable legacy measures, internal consistency reliability, and test-retest reliability.

resultsExploratory factor analyses suggested splitting Reactivity and Dysphoria items for confirmatory factor analyses and subsequent analyses. Following analyses, a 25-item Reactivity scale, a 7-item Dysphoria scale, and a 6-item Reactivity short-form scale were finalized. EDI-SR subscales showed convergent validity and superior total information when compared with similar measures, strong internal consistency reliability, and good test-retest reliability.

conclusionsThe EDI-SR provides an efficient, precise measure of ED in autistic individuals, individuals with other intellectual and developmental disabilities, and a US census-matched representative sample, and allows for multi-reporter assessment in clinical and research contexts.

Indexed as

Affective SymptomsEmotional RegulationPsychiatric Status Rating ScalesPsychometricsSelf ReportAdolescentAdultAutistic DisorderChildDevelopmental DisabilitiesFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedReproducibility of Resultsautismemotion dysregulationirritabilityitem response theorypatient-reported outcomesPROMIS®self-report

Identifiers

PMID42138030
PMCPMC13200144

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LicenceCC BY-NC-ND
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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.