Latent profiles of autism symptoms in children and adolescents with Down syndrome.
Autism spectrum disorder
Down syndrome
Mixture modelling
Social relatedness
Journal
Journal of intellectual disability research : JIDR
ISSN: 1365-2788
Titre abrégé: J Intellect Disabil Res
Pays: England
ID NLM: 9206090
Informations de publication
Date de publication:
03 2022
03 2022
Historique:
revised:
12
11
2021
received:
04
06
2021
accepted:
14
11
2021
pubmed:
6
1
2022
medline:
19
4
2022
entrez:
5
1
2022
Statut:
ppublish
Résumé
Down syndrome (DS) is associated with elevated rates of autism spectrum disorder (ASD) and autism symptomatology. To better characterise heterogeneity in ASD symptomatology in DS, profiles of caregiver-reported ASD symptoms were modelled for children and adolescents with DS. Participants (n = 125) were recruited through several multi-site research studies on cognition and language in DS. Using the Social Responsiveness Scale-2 (SRS-2; Constantino and Gruber 2012), two latent profile analyses (LPA) were performed, one on the broad composite scores of social communication and interaction and restricted interests and repetitive behaviour, and a second on the four social dimensions of social communication, social motivation, social awareness, and social cognition. A three-profile model was the best fit for both analyses, with each analysis yielding a low ASD symptom profile, an elevated or mixed ASD symptom profile and a high ASD symptom profile. Associations were observed between profile probability scores and IQ, the number of co-occurring biomedical conditions reported, sex, and SRS-2 form. Characterising heterogeneity in ASD symptom profiles can inform more personalised supports in this population, and implications for potential therapeutic approaches for individuals with DS are discussed.
Sections du résumé
BACKGROUND
Down syndrome (DS) is associated with elevated rates of autism spectrum disorder (ASD) and autism symptomatology. To better characterise heterogeneity in ASD symptomatology in DS, profiles of caregiver-reported ASD symptoms were modelled for children and adolescents with DS.
METHODS
Participants (n = 125) were recruited through several multi-site research studies on cognition and language in DS. Using the Social Responsiveness Scale-2 (SRS-2; Constantino and Gruber 2012), two latent profile analyses (LPA) were performed, one on the broad composite scores of social communication and interaction and restricted interests and repetitive behaviour, and a second on the four social dimensions of social communication, social motivation, social awareness, and social cognition.
RESULTS
A three-profile model was the best fit for both analyses, with each analysis yielding a low ASD symptom profile, an elevated or mixed ASD symptom profile and a high ASD symptom profile. Associations were observed between profile probability scores and IQ, the number of co-occurring biomedical conditions reported, sex, and SRS-2 form.
CONCLUSIONS
Characterising heterogeneity in ASD symptom profiles can inform more personalised supports in this population, and implications for potential therapeutic approaches for individuals with DS are discussed.
Identifiants
pubmed: 34984734
doi: 10.1111/jir.12910
pmc: PMC9009451
mid: NIHMS1792086
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
265-281Subventions
Organisme : NICHD NIH HHS
ID : R21 HD101000
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD099150
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD093654
Pays : United States
Organisme : NICHD NIH HHS
ID : P50 HD103526
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000002
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD093754
Pays : United States
Informations de copyright
© 2022 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.
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