Latent profiles of autism symptoms in children and adolescents with Down syndrome.

D J Fidler, M A Prince, K Van Deusen, A J Esbensen, A J Thurman, L Abbeduto, L Patel, C Mervis, E K Schworer, N R Lee, J O Edgin, S Hepburn, S Davis, L A Daunhauer
Author Information
  1. D J Fidler: Human Development and Family Studies, Colorado State University, Fort Collins, CO, USA. ORCID
  2. M A Prince: Human Development and Family Studies, Colorado State University, Fort Collins, CO, USA.
  3. K Van Deusen: Human Development and Family Studies, Colorado State University, Fort Collins, CO, USA.
  4. A J Esbensen: Department of Pediatrics, Cincinnati Children's Hospital Medical Campus, Cincinnati, OH, USA. ORCID
  5. A J Thurman: Department of Psychiatry, MIND Institute, University of California - Davis Health, Sacramento, CA, USA.
  6. L Abbeduto: Department of Psychiatry, MIND Institute, University of California - Davis Health, Sacramento, CA, USA.
  7. L Patel: Department of Psychiatry, University of Colorado-Anschutz Medical Campus, Aurora, CO, USA.
  8. C Mervis: Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, USA. ORCID
  9. E K Schworer: Department of Pediatrics, Cincinnati Children's Hospital Medical Campus, Cincinnati, OH, USA. ORCID
  10. N R Lee: Department of Psychology, Drexel University, Philadelphia, PA, USA.
  11. J O Edgin: Sonoran University Center for Excellence in Developmental Disabilities, University of Arizona, Tucson, AZ, USA.
  12. S Hepburn: Human Development and Family Studies, Colorado State University, Fort Collins, CO, USA.
  13. S Davis: Department of Psychology, Colorado State University, Fort Collins, CO, USA.
  14. L A Daunhauer: Human Development and Family Studies, Colorado State University, Fort Collins, CO, USA.

Abstract

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.

Keywords

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Grants

  1. R21 HD101000/NICHD NIH HHS
  2. R01 HD099150/NICHD NIH HHS
  3. R01 HD093654/NICHD NIH HHS
  4. P50 HD103526/NICHD NIH HHS
  5. UL1 TR000002/NCATS NIH HHS
  6. R01 HD093754/NICHD NIH HHS

MeSH Term

Adolescent
Autism Spectrum Disorder
Autistic Disorder
Child
Down Syndrome
Humans
Motivation

Word Cloud

Created with Highcharts 10.0.0ASDsocialDSprofilesymptomsyndromeautismprofileselevatedspectrumdisordersymptomatologyheterogeneitysymptomschildrenadolescentscognitionSocialSRS-2analysesscorescommunicationBACKGROUND:associatedratesbettercharacterisecaregiver-reportedmodelledMETHODS:Participantsn=125recruitedseveralmulti-siteresearchstudieslanguageUsingResponsivenessScale-2ConstantinoGruber2012twolatentLPAperformedonebroadcompositeinteractionrestrictedinterestsrepetitivebehavioursecondfourdimensionsmotivationawarenessRESULTS:three-profilemodelbestfitanalysisyieldinglowmixedhighAssociationsobservedprobabilityIQnumberco-occurringbiomedicalconditionsreportedsexformCONCLUSIONS:CharacterisingcaninformpersonalisedsupportspopulationimplicationspotentialtherapeuticapproachesindividualsdiscussedLatentAutismMixturemodellingrelatedness

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