Exploring the quantitative nature of empathy, systemising and autistic traits using factor mixture modelling
- Publisher:
- CAMBRIDGE UNIV PRESS
- Publication Type:
- Journal Article
- Citation:
- British Journal of Psychiatry, 2015, 207, (5), pp. 400-406
- Issue Date:
- 2015
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Filename | Description | Size | |||
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Grove et al 2015 BJP.pdf | Published version | 327.1 kB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author |
Grove, R https://orcid.org/0000-0001-6669-9385 |
|
dc.contributor.author | Baillie, A | |
dc.contributor.author | Allison, C | |
dc.contributor.author | BaronCohen, S | |
dc.contributor.author | Hoekstra, RA | |
dc.date.accessioned | 2022-01-19T02:54:44Z | |
dc.date.available | 2015-01-22 | |
dc.date.available | 2022-01-19T02:54:44Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | British Journal of Psychiatry, 2015, 207, (5), pp. 400-406 | |
dc.identifier.issn | 0007-1250 | |
dc.identifier.issn | 1472-1465 | |
dc.identifier.uri | http://hdl.handle.net/10453/153354 | |
dc.description.abstract | BACKGROUND: Autism research has previously focused on either identifying a latent dimension or searching for subgroups. Research assessing the concurrently categorical and dimensional nature of autism is needed. AIMS: To investigate the latent structure of autism and identify meaningful subgroups in a sample spanning the full spectrum of genetic vulnerability. METHOD: Factor mixture models were applied to data on empathy, systemising and autistic traits from individuals on the autism spectrum, parents and general population controls. RESULTS: A two-factor three-class model was identified, with two factors measuring empathy and systemising. Class one had high systemising and low empathy scores and primarily consisted of individuals with autism. Mainly comprising controls and parents, class three displayed high empathy scores and lower systemising scores, and class two showed balanced scores on both measures of systemising and empathy. CONCLUSIONS: Autism is best understood as a dimensional construct, but meaningful subgroups can be identified based on empathy, systemising and autistic traits. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | CAMBRIDGE UNIV PRESS | |
dc.relation.ispartof | British Journal of Psychiatry | |
dc.relation.isbasedon | 10.1192/bjp.bp.114.155101 | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | 11 Medical and Health Sciences, 17 Psychology and Cognitive Sciences | |
dc.subject.classification | Psychiatry | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Autism Spectrum Disorder | |
dc.subject.mesh | Empathy | |
dc.subject.mesh | Female | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Male | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Models, Psychological | |
dc.subject.mesh | Neuropsychological Tests | |
dc.subject.mesh | Parents | |
dc.subject.mesh | Psychiatric Status Rating Scales | |
dc.subject.mesh | Self Report | |
dc.subject.mesh | Severity of Illness Index | |
dc.subject.mesh | Social Behavior | |
dc.subject.mesh | United Kingdom | |
dc.subject.mesh | Young Adult | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Severity of Illness Index | |
dc.subject.mesh | Social Behavior | |
dc.subject.mesh | Empathy | |
dc.subject.mesh | Parents | |
dc.subject.mesh | Psychiatric Status Rating Scales | |
dc.subject.mesh | Neuropsychological Tests | |
dc.subject.mesh | Models, Psychological | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Female | |
dc.subject.mesh | Male | |
dc.subject.mesh | Young Adult | |
dc.subject.mesh | Self Report | |
dc.subject.mesh | Autism Spectrum Disorder | |
dc.subject.mesh | United Kingdom | |
dc.title | Exploring the quantitative nature of empathy, systemising and autistic traits using factor mixture modelling | |
dc.type | Journal Article | |
utslib.citation.volume | 207 | |
utslib.location.activity | England | |
utslib.for | 11 Medical and Health Sciences | |
utslib.for | 17 Psychology and Cognitive Sciences | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health/Public Health | |
utslib.copyright.status | closed_access | * |
dc.date.updated | 2022-01-19T02:54:43Z | |
pubs.issue | 5 | |
pubs.publication-status | Published | |
pubs.volume | 207 | |
utslib.citation.issue | 5 |
Abstract:
BACKGROUND: Autism research has previously focused on either identifying a latent dimension or searching for subgroups. Research assessing the concurrently categorical and dimensional nature of autism is needed. AIMS: To investigate the latent structure of autism and identify meaningful subgroups in a sample spanning the full spectrum of genetic vulnerability. METHOD: Factor mixture models were applied to data on empathy, systemising and autistic traits from individuals on the autism spectrum, parents and general population controls. RESULTS: A two-factor three-class model was identified, with two factors measuring empathy and systemising. Class one had high systemising and low empathy scores and primarily consisted of individuals with autism. Mainly comprising controls and parents, class three displayed high empathy scores and lower systemising scores, and class two showed balanced scores on both measures of systemising and empathy. CONCLUSIONS: Autism is best understood as a dimensional construct, but meaningful subgroups can be identified based on empathy, systemising and autistic traits.
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