Characterizing the Nature of Alexithymia in Autistic Adults: Validation of the Perth Alexithymia Questionnaire

Background: Alexithymia—a trait characterized by difficulties in emotion processing—is of high interest in the autism field. However, the lack of validated alexithymia measures for autistic individuals limits progress. This study aimed to address this gap by examining the psychometric properties of the Perth Alexithymia Questionnaire (PAQ) across autistic and non-autistic samples. Using the PAQ, we investigated how alexithymia manifests in autistic individuals and its links with poor mental health outcomes (anxiety). Methods: Autistic individuals (who reported having a diagnosis from a health professional; n = 244) and non-autistic individuals ( n = 383; age range: 16–62 years) completed the PAQ and a trait anxiety questionnaire online. We conducted confirmatory factor analysis, item response theory (IRT), and moderated nonlinear factor analyses to investigate the psychometric properties of the PAQ and alexithymia differences between autistic and non-autistic individuals. Regression analyses investigated the relationships between alexithymia and anxiety and whether these relationships differ for autistic or non-autistic populations. Results: As operationalized by the PAQ, alexithymia manifested similarly in autistic and non-autistic individuals, comprising a general alexithymia factor and five subfactors: positively and negatively valenced difficulties identifying feelings, positively and negatively valenced difficulties describing feelings, and externally oriented thinking. All factors exhibited good to excellent classical test theory and IRT-derived reliability. The PAQ did not meaningfully bias scores for autistic individuals, who reported greater alexithymia across all its components. Alexithymia predicted greater anxiety, with nuances regarding externally oriented thinking particularly for autistic individuals. Conclusions: For the first time, our study illustrates that all facets of alexithymia can be validly and comprehensively assessed in autistic populations. As measured via the PAQ, alexithymia manifests similarly across autistic and non-autistic individuals, and on average, autistic individuals have greater challenges across all aspects of alexithymia. The PAQ, therefore, represents a critical assessment advancement for the field, providing a foundation for future work on alexithymia and autism.

Authors

Institutions

Publication Details

Journal
Autism in Adulthood
Published
2025-10-24
DOI
https://doi.org/10.1177/25739581251371420
Primary Topic
Psychosomatic Disorders and Their Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterizing the Nature of Alexithymia in Autistic Adults: Validation of the Perth Alexithymia Questionnaire

Andrew Whitehouse, James J. Gross, Jack D. Brett, David Preece et al.
Autism in Adulthood
Psychosomatic Disorders and Their Treatments
article

Characterizing the Nature of Alexithymia in Autistic Adults: Validation of the Perth Alexithymia Questionnaire

Andrew Whitehouse, James J. Gross, Jack D. Brett, David Preece, Irina Jarvers, Andrea Christiane Samson, Mirko Uljarević
article en

Abstract

Background: Alexithymia—a trait characterized by difficulties in emotion processing—is of high interest in the autism field. However, the lack of validated alexithymia measures for autistic individuals limits progress. This study aimed to address this gap by examining the psychometric properties of the Perth Alexithymia Questionnaire (PAQ) across autistic and non-autistic samples. Using the PAQ, we investigated how alexithymia manifests in autistic individuals and its links with poor mental health outcomes (anxiety). Methods: Autistic individuals (who reported having a diagnosis from a health professional; n = 244) and non-autistic individuals ( n = 383; age range: 16–62 years) completed the PAQ and a trait anxiety questionnaire online. We conducted confirmatory factor analysis, item response theory (IRT), and moderated nonlinear factor analyses to investigate the psychometric properties of the PAQ and alexithymia differences between autistic and non-autistic individuals. Regression analyses investigated the relationships between alexithymia and anxiety and whether these relationships differ for autistic or non-autistic populations. Results: As operationalized by the PAQ, alexithymia manifested similarly in autistic and non-autistic individuals, comprising a general alexithymia factor and five subfactors: positively and negatively valenced difficulties identifying feelings, positively and negatively valenced difficulties describing feelings, and externally oriented thinking. All factors exhibited good to excellent classical test theory and IRT-derived reliability. The PAQ did not meaningfully bias scores for autistic individuals, who reported greater alexithymia across all its components. Alexithymia predicted greater anxiety, with nuances regarding externally oriented thinking particularly for autistic individuals. Conclusions: For the first time, our study illustrates that all facets of alexithymia can be validly and comprehensively assessed in autistic populations. As measured via the PAQ, alexithymia manifests similarly across autistic and non-autistic individuals, and on average, autistic individuals have greater challenges across all aspects of alexithymia. The PAQ, therefore, represents a critical assessment advancement for the field, providing a foundation for future work on alexithymia and autism.

Autism in Adulthood
University of Fribourg (CH), The University of Western Australia (AU), Curtin University (AU), University of Regensburg (DE), Stanford University (US)
Openalex Percentile: Top 63%
Psychosomatic Disorders and Their Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.