Livingston, Lucy Anne ORCID: https://orcid.org/0000-0002-8597-6525, Shah, Punit, Milner, Victoria and Happé, Francesca 2020. Quantifying compensatory strategies in adults with and without diagnosed autism. Molecular Autism 11 , 15. 10.1186/s13229-019-0308-y |
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Abstract
Background There is growing recognition that some autistic people engage in ‘compensation’, showing few behavioural symptoms (e.g. neurotypical social skills), despite continuing to experience autism-related cognitive difficulties (e.g. difficulties in social cognition). One way this might be achieved is by individuals consciously employing ‘compensatory strategies’ during everyday social interaction. However, very little is currently known about the broad range of these strategies, their mechanisms and consequences for clinical presentation and diagnosis. Methods We aimed to measure compensatory strategies in autism for the first time. Using a novel checklist, we quantified self-reported social compensatory strategies in 117 adults (58 with autism, 59 without autism) and explored the relationships between compensation scores and autism diagnostic status, autistic traits, education level, sex and age at diagnosis. Results Higher compensation scores—representing a greater repertoire of compensatory strategies—were associated with having an autism diagnosis, more autistic traits and a higher education level. The link between autism diagnostic status and compensation scores was, however, explained by autistic traits and education level. Compensation scores were unrelated to sex or age at diagnosis. Limitations Our sample was self-selected and predominantly comprised of intellectually able females; therefore, our findings may not generalise to the wider autistic population. Conclusions Together, our findings suggest that many intellectually able adults, with and without a clinical diagnosis of autism, report using compensatory strategies to modify their social behaviour. We discuss the clinical utility of measuring self-reported compensation (e.g., using our checklist), with important implications for the accurate diagnosis and management of autism and related conditions.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Psychology |
Additional Information: | This article is distributed under the terms of the Creative Commons Attribution 4.0 International License. |
Publisher: | Biomed Central |
ISSN: | 2040-2392 |
Date of First Compliant Deposit: | 12 February 2020 |
Date of Acceptance: | 18 December 2019 |
Last Modified: | 05 May 2023 21:05 |
URI: | https://orca.cardiff.ac.uk/id/eprint/129594 |
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