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Brett SG, den Houting JE, Black MH, Lawson LP, Trollor J, Arnold SRC. Suitability of the DSM-5 social anxiety disorder severity scale for autistic adults. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2025; 29:659-672. [PMID: 39699032 PMCID: PMC11894854 DOI: 10.1177/13623613241290547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2024]
Abstract
In autistic adults, measurement tools may not adequately differentiate between autistic characteristics and features of anxiety. This may be particularly evident in the case of social anxiety disorder; however, few measures of social anxiety disorder have been validated for autistic adults. Instead, assessments are often made using measures designed and validated for non-autistic adults. To address this, we examined the suitability of the self-report Severity Measure for Social Anxiety Disorder in 284 autistic adults. We evaluated its psychometric properties, explored a rescored version that aimed to account for autistic differences in reporting and conducted content analysis on qualitative feedback from autistic participants. Confirmatory Factor Analysis did not confirm the unidimensional structure of the Severity Measure for Social Anxiety Disorder for autistic adults and over half attributed at least one response to a factor other than social anxiety (e.g. fatigue). Exploratory Factor Analysis of a rescored version of the Severity Measure for Social Anxiety Disorder based on autistic adults' responses to reflect those just due to social anxiety, revealed that a two-factor solution was most appropriate, again suggesting social anxiety was not a solitary latent variable. Our findings recommend caution be applied when using the Severity Measure for Social Anxiety Disorder with autistic adults and our content analysis may inform more precise future measurement.Lay abstractMental health measures used with autistic adults are often only evaluated for use with non-autistic adults, which may cause inaccurate measurement. This is important when measuring social anxiety disorder as some features overlap with social characteristics of autism. This study evaluated one self-report questionnaire measure of social anxiety disorder, the Severity Measure for Social Anxiety Disorder. The Severity Measure for Social Anxiety Disorder is based upon criteria for diagnosis of social anxiety disorder, and we aimed to understand its suitability for autistic adults. The Severity Measure for Social Anxiety Disorder was completed by 284 autistic adults and 80 non-autistic adults who were then asked five follow-up questions about ambiguous questions on the Severity Measure for Social Anxiety Disorder. We found that over half our sample of autistic adults, on at least one question, attributed their answer to something other than anxiety. Furthermore, in autistic adults, one underlying construct of social anxiety did not link their answers on the Severity Measure for Social Anxiety Disorder together, suggesting the Severity Measure for Social Anxiety Disorder might not be suited to capturing social anxiety disorder in autistic adults. To improve measurement, we rescored answers where participants said their response was due to something other than social anxiety, however, the rescored Severity Measure for Social Anxiety Disorder did not only capture social anxiety in autistic adults either. Finally, we analysed the reasons other than social anxiety autistic adults said influenced their answers. We grouped their responses into 10 categories, for example, 'fatigue', 'sensory overwhelm', and 'masking'. Overall, our findings suggest caution when using the Severity Measure for Social Anxiety Disorder with autistic adults, and the categories identified may suggest how to measure social anxiety more accurately in autistic adults.
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Affiliation(s)
- Simon G Brett
- Macquarie University, Australia
- University of East Anglia, UK
| | | | - Melissa H Black
- Karolinska Institutet and Region Stockholm, Sweden
- Curtin University, Australia
| | - Lauren P Lawson
- La Trobe University, Australia
- Cooperative Research Centre for Living with Autism (Autism CRC), Australia
| | - Julian Trollor
- Cooperative Research Centre for Living with Autism (Autism CRC), Australia
- UNSW Sydney, Australia
| | - Samuel RC Arnold
- Cooperative Research Centre for Living with Autism (Autism CRC), Australia
- Western Sydney University, Australia
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Spackman E, Lerh JW, Rodgers J, Hollocks MJ, South M, McConachie H, Ozsivadjian A, Vaughan Van Hecke A, Libove R, Hardan AY, Leekam SR, Simonoff E, Frazier TW, Alvares GA, Schwartzman JM, Magiati I, Uljarević M. Understanding the heterogeneity of anxiety in autistic youth: A person-centered approach. Autism Res 2022; 15:1742-1754. [PMID: 35642170 DOI: 10.1002/aur.2744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 04/18/2022] [Indexed: 11/10/2022]
Abstract
The present study aimed to examine anxiety profiles among children and adolescents on the autism spectrum. It further aimed to characterize the association between the identified anxiety profiles and key clinical and developmental variables. The Spence Children's Anxiety Scale-Parent Version (SCAS-P) data from a large international pooled sample of 870 caregivers of autistic children and adolescents (Mage = 11.6 years, SDage = 2.77; 107 females) was used. Latent profile analysis identified a three-anxiety profile solution exhibiting high entropy (0.80) and high latent profile probabilities, with good classification accuracy. Identified profiles fell along the severity spectrum and were named as the mild (n = 498), moderate (n = 272) and severe (n = 100) anxiety profiles. There were no statistically significant differences between the three anxiety profiles in terms of sex distribution. Participants in the mild profile were significantly younger than those in the severe profile, had significantly fewer social communication difficulties than youth in the moderate anxiety profile group and had significantly fewer restricted and repetitive behaviors and lower cognitive functioning scores compared to participants in moderate and severe anxiety profiles. This is the first study to move beyond identifying associations and group-level differences to exploring and identifying characteristics of anxiety-based subgroups at an individual level that differ on key clinical and developmental variables. The subgroups identified in this study are a preliminary, yet important, first step towards informing future assessment and individualized interventions aiming to support young people on the autism spectrum to reduce and manage anxiety. LAY SUMMARY: This study tried to understand if there are subgroups of autistic young people who may have similar anxiety profiles. We found that we could meaningfully group young people into three groups based on how severe the anxiety symptoms their caregivers reported were: a group with low levels of anxiety, those with moderate anxiety, and those with more severe anxiety. We also found that the young people in the mild group were younger, had fewer autism traits and lower levels of intellectual functioning than young people in the other two groups.
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Affiliation(s)
- Emily Spackman
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Jian Wei Lerh
- Department of Psychology, National University of Singapore, Singapore, Singapore
| | - Jacqui Rodgers
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Matthew J Hollocks
- Department of Child & Adolescent Psychiatry, King's College London, London, UK.,Central and North West London NHS Foundation Trust, London, UK
| | - Mikle South
- Emory University School of Medicine, Emory University, Atlanta, Georgia, USA
| | - Helen McConachie
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Ann Ozsivadjian
- Evelina London Children's Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK
| | | | - Robin Libove
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford University, Stanford, California, USA
| | - Antonio Y Hardan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford University, Stanford, California, USA
| | - Susan R Leekam
- Wales Autism Research Centre, School of Psychology, Cardiff University, Cardiff, UK
| | - Emily Simonoff
- Department of Child & Adolescent Psychiatry, King's College London, London, UK
| | - Thomas W Frazier
- Department of Psychology, John Carroll University, University Heights, Ohio, USA
| | - Gail A Alvares
- School of Psychological Science, University of Western Australia, Perth, Western Australia, Australia
| | - Jessica M Schwartzman
- Vanderbilt Child and Adolescent Psychiatry, Vanderbilt University, Nashville, Tennessee, USA
| | - Iliana Magiati
- School of Psychological Science, University of Western Australia, Perth, Western Australia, Australia
| | - Mirko Uljarević
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia
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Kim SY, Lecavalier L. Evaluating the Use of Self-reported Measures in Autistic Individuals in the Context of Psychiatric Assessment: A Systematic Review. J Autism Dev Disord 2021; 52:4355-4374. [PMID: 34643862 DOI: 10.1007/s10803-021-05323-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/02/2021] [Indexed: 11/24/2022]
Abstract
The current review examined the use of self-report measures in autistic individuals in the context of psychiatric assessments. It focused on inter-rater agreement, internal consistency, test-retest reliability, and criterion validity with clinical diagnoses. It also gathered information on constructs measured, the nature of the samples, and the quality of the studies. Thirty-six out of 10,557 studies met inclusion criteria. We found that the majority of studies (1) targeted young people with average or above average cognitive abilities, (2) measured anxiety symptoms, and (3) evaluated parent-child agreement. More studies are needed on individuals with lower cognitive abilities, adults, and other constructs. Studies assessing criterion validity and test-retest reliability are also needed.
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Affiliation(s)
- Soo Youn Kim
- Nisonger Center, The Ohio State University, 1581 Dodd Drive, Columbus, OH, 43210, USA
| | - Luc Lecavalier
- Nisonger Center, The Ohio State University, 1581 Dodd Drive, Columbus, OH, 43210, USA.
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