D J Fidler1, M A Prince1,2, K Van Deusen1, A J Esbensen3, A J Thurman4, L Abbeduto4, L Patel5, C Mervis6, E K Schworer3, N R Lee7, J O Edgin8, S Hepburn1, S Davis2, L A Daunhauer1. 1. Human Development and Family Studies, Colorado State University, Fort Collins, CO, USA. 2. Department of Psychology, Colorado State University, Fort Collins, CO, USA. 3. Department of Pediatrics, Cincinnati Children's Hospital Medical Campus, Cincinnati, OH, USA. 4. Department of Psychiatry, MIND Institute, University of California - Davis Health, Sacramento, CA, USA. 5. Department of Psychiatry, University of Colorado-Anschutz Medical Campus, Aurora, CO, USA. 6. Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, USA. 7. Department of Psychology, Drexel University, Philadelphia, PA, USA. 8. Sonoran University Center for Excellence in Developmental Disabilities, University of Arizona, Tucson, AZ, 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.
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.
Authors: Marie Moore Channell; B Allyson Phillips; Susan J Loveall; Frances A Conners; Paige M Bussanich; Laura Grofer Klinger Journal: J Neurodev Disord Date: 2015-01-17 Impact factor: 4.025
Authors: Jon Baio; Lisa Wiggins; Deborah L Christensen; Matthew J Maenner; Julie Daniels; Zachary Warren; Margaret Kurzius-Spencer; Walter Zahorodny; Cordelia Robinson Rosenberg; Tiffany White; Maureen S Durkin; Pamela Imm; Loizos Nikolaou; Marshalyn Yeargin-Allsopp; Li-Ching Lee; Rebecca Harrington; Maya Lopez; Robert T Fitzgerald; Amy Hewitt; Sydney Pettygrove; John N Constantino; Alison Vehorn; Josephine Shenouda; Jennifer Hall-Lande; Kim Van Naarden Braun; Nicole F Dowling Journal: MMWR Surveill Summ Date: 2018-04-27