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Towards identifying a method of screening for autism amongst women with restrictive eating disorders
OBJECTIVE: Up to 37% of patients with anorexia nervosa score above cut‐off on autism screening measures. These individuals typically have poorer outcomes from standard eating disorder interventions and could therefore benefit from adaptations. Accurately identifying these individuals is important fo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540024/ https://www.ncbi.nlm.nih.gov/pubmed/35791612 http://dx.doi.org/10.1002/erv.2918 |
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author | Adamson, James Brede, Janina Babb, Charli Serpell, Lucy Jones, Catherine R. G. Fox, John Mandy, Will |
author_facet | Adamson, James Brede, Janina Babb, Charli Serpell, Lucy Jones, Catherine R. G. Fox, John Mandy, Will |
author_sort | Adamson, James |
collection | PubMed |
description | OBJECTIVE: Up to 37% of patients with anorexia nervosa score above cut‐off on autism screening measures. These individuals typically have poorer outcomes from standard eating disorder interventions and could therefore benefit from adaptations. Accurately identifying these individuals is important for improving autism referral processes and clinical pathway decisions. This study's aim was to identify subscales of questionnaires measuring constructs associated with either autism or eating disorders that, when combined with traditional autism screening measures, would improve the ability to identify women with restrictive eating disorders who might benefit from a full autism assessment. METHOD: One hundred and sixty women with restrictive eating disorders, with (n = 42) or without (n = 118) an autism diagnosis completed a battery of questionnaires. Using conditional stepwise binary logistic regression, we attempted to improve the autism spectrum quotient 10 item's (AQ‐10) ability to discriminate between autistic and non‐autistic women in a restrictive eating disorder sample. RESULTS: In a binary logistic regression model, the AQ‐10 reliably discriminated between autistic and non‐autistic women with an accuracy rate of 85% but had relatively low (69%) sensitivity, reflecting a high rate of false negatives. Adding three subscales to the model (Glasgow Sensory Questionnaire Auditory, Camouflaging Autistic Traits Questionnaire Compensation and Toronto Alexithymia Scale Externally Orientated Thinking) significantly improved its differentiating ability (accuracy = 88%, sensitivity = 76%, specificity = 92%). CONCLUSIONS: We have identified three subscales that, when used in combination with the AQ‐10, may help clinicians understand the pattern of autistic traits in their patients with a restrictive eating disorder. This can inform clinical decisions about whether to refer for a full autism assessment and whether to adapt standard eating disorder treatments to accommodate autistic traits. Future studies are needed to test the model in samples where participants have undergone a full autism assessment. |
format | Online Article Text |
id | pubmed-9540024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95400242022-10-14 Towards identifying a method of screening for autism amongst women with restrictive eating disorders Adamson, James Brede, Janina Babb, Charli Serpell, Lucy Jones, Catherine R. G. Fox, John Mandy, Will Eur Eat Disord Rev Qualitative Studies and Mixed Method Design OBJECTIVE: Up to 37% of patients with anorexia nervosa score above cut‐off on autism screening measures. These individuals typically have poorer outcomes from standard eating disorder interventions and could therefore benefit from adaptations. Accurately identifying these individuals is important for improving autism referral processes and clinical pathway decisions. This study's aim was to identify subscales of questionnaires measuring constructs associated with either autism or eating disorders that, when combined with traditional autism screening measures, would improve the ability to identify women with restrictive eating disorders who might benefit from a full autism assessment. METHOD: One hundred and sixty women with restrictive eating disorders, with (n = 42) or without (n = 118) an autism diagnosis completed a battery of questionnaires. Using conditional stepwise binary logistic regression, we attempted to improve the autism spectrum quotient 10 item's (AQ‐10) ability to discriminate between autistic and non‐autistic women in a restrictive eating disorder sample. RESULTS: In a binary logistic regression model, the AQ‐10 reliably discriminated between autistic and non‐autistic women with an accuracy rate of 85% but had relatively low (69%) sensitivity, reflecting a high rate of false negatives. Adding three subscales to the model (Glasgow Sensory Questionnaire Auditory, Camouflaging Autistic Traits Questionnaire Compensation and Toronto Alexithymia Scale Externally Orientated Thinking) significantly improved its differentiating ability (accuracy = 88%, sensitivity = 76%, specificity = 92%). CONCLUSIONS: We have identified three subscales that, when used in combination with the AQ‐10, may help clinicians understand the pattern of autistic traits in their patients with a restrictive eating disorder. This can inform clinical decisions about whether to refer for a full autism assessment and whether to adapt standard eating disorder treatments to accommodate autistic traits. Future studies are needed to test the model in samples where participants have undergone a full autism assessment. John Wiley and Sons Inc. 2022-07-05 2022-09 /pmc/articles/PMC9540024/ /pubmed/35791612 http://dx.doi.org/10.1002/erv.2918 Text en © 2022 The Authors. European Eating Disorders Review published by Eating Disorders Association and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Qualitative Studies and Mixed Method Design Adamson, James Brede, Janina Babb, Charli Serpell, Lucy Jones, Catherine R. G. Fox, John Mandy, Will Towards identifying a method of screening for autism amongst women with restrictive eating disorders |
title | Towards identifying a method of screening for autism amongst women with restrictive eating disorders |
title_full | Towards identifying a method of screening for autism amongst women with restrictive eating disorders |
title_fullStr | Towards identifying a method of screening for autism amongst women with restrictive eating disorders |
title_full_unstemmed | Towards identifying a method of screening for autism amongst women with restrictive eating disorders |
title_short | Towards identifying a method of screening for autism amongst women with restrictive eating disorders |
title_sort | towards identifying a method of screening for autism amongst women with restrictive eating disorders |
topic | Qualitative Studies and Mixed Method Design |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540024/ https://www.ncbi.nlm.nih.gov/pubmed/35791612 http://dx.doi.org/10.1002/erv.2918 |
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