Literature DB >> 34967132

Features that best define the heterogeneity and homogeneity of autism in preschool-age children: A multisite case-control analysis replicated across two independent samples.

Lisa D Wiggins1, Lin H Tian1, Eric Rubenstein2, Laura Schieve1, Julie Daniels3, Karen Pazol1, Carolyn DiGuiseppi4, Brian Barger5, Eric Moody6, Steven Rosenberg4, Chyrise Bradley3, Melanie Hsu7, Cordelia Robinson Rosenberg4, Deborah Christensen1, Tessa Crume4, Juhi Pandey8, Susan E Levy8.   

Abstract

The heterogeneous nature of children with symptoms of autism spectrum disorder (ASD) makes it difficult to identify risk factors and effective treatment options. We sought to identify behavioral and developmental features that best define the heterogeneity and homogeneity in 2-5-year-old children classified with ASD and subthreshold ASD characteristics. Children were enrolled in a multisite case-control study of ASD. Detailed behavioral and developmental data were gathered by maternal telephone interview, parent-administered questionnaires, child cognitive evaluation, and ASD diagnostic measures. Participants with a positive ASD screen score or prior ASD diagnosis were referred for comprehensive evaluation. Children in the ASD group met study criteria based on this evaluation; children who did not meet study criteria were categorized as having subthreshold ASD characteristics. There were 1480 children classified as ASD (81.6% boys) and 594 children classified as having subthreshold ASD characteristics (70.2% boys) in the sample. Factors associated with dysregulation (e.g., aggression, anxiety/depression, sleep problems) followed by developmental abilities (e.g., expressive and receptive language skills) most contributed to heterogeneity in both groups of children. Atypical sensory response contributed to homogeneity in children classified as ASD but not those with subthreshold characteristics. These findings suggest that dysregulation and developmental abilities are clinical features that can impact functioning in children with ASD and other DD, and that documenting these features in pediatric records may help meet the needs of the individual child. Sensory dysfunction could be considered a core feature of ASD and thus used to inform more targeted screening, evaluation, treatment, and research efforts. LAY
SUMMARY: The diverse nature of autism spectrum disorder (ASD) makes it difficult to find risk factors and treatment options. We identified the most dissimilar and most similar symptom(s) in children classified as ASD and as having subthreshold ASD characteristics. Factors associated with dysregulation and developmental abilities contributed to diversity in both groups of children. Sensory dysfunction was the most common symptom in children with ASD but not those with subthreshold characteristics. Findings can inform clinical practice and research.
© 2021 International Society for Autism Research and Wiley Periodicals LLC. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

Entities:  

Keywords:  autism; characteristics; heterogeneity; homogeneity; phenotypes

Mesh:

Year:  2021        PMID: 34967132      PMCID: PMC9048225          DOI: 10.1002/aur.2663

Source DB:  PubMed          Journal:  Autism Res        ISSN: 1939-3806            Impact factor:   4.633


  43 in total

1.  Variation in the Early Trajectories of Autism Symptoms Is Related to the Development of Language, Cognition, and Behavior Problems.

Authors:  Janne C Visser; Nanda N J Rommelse; Martijn Lappenschaar; Iris J Servatius-Oosterling; Corina U Greven; Jan K Buitelaar
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2017-06-09       Impact factor: 8.829

2.  Autism spectrum disorder and co-occurring developmental, psychiatric, and medical conditions among children in multiple populations of the United States.

Authors:  Susan E Levy; Ellen Giarelli; Li-Ching Lee; Laura A Schieve; Russell S Kirby; Christopher Cunniff; Joyce Nicholas; Judy Reaven; Catherine E Rice
Journal:  J Dev Behav Pediatr       Date:  2010-05       Impact factor: 2.225

3.  Using the PDD Behavior Inventory as a Level 2 Screener: A Classification and Regression Trees Analysis.

Authors:  Ira L Cohen; Xudong Liu; Melissa Hudson; Jennifer Gillis; Rachel N S Cavalari; Raymond G Romanczyk; Bernard Z Karmel; Judith M Gardner
Journal:  J Autism Dev Disord       Date:  2016-09

4.  Developmental trajectories of adaptive behaviors from early childhood to adolescence in a cohort of 152 children with autism spectrum disorders.

Authors:  Amaria Baghdadli; Brigitte Assouline; Sandrine Sonié; Eric Pernon; Céline Darrou; Cécile Michelon; Marie-Christine Picot; Charles Aussilloux; René Pry
Journal:  J Autism Dev Disord       Date:  2012-07

5.  Children born prematurely have atypical sensory profiles.

Authors:  A C Wickremasinghe; E E Rogers; B C Johnson; A Shen; A J Barkovich; E J Marco
Journal:  J Perinatol       Date:  2013-02-14       Impact factor: 2.521

6.  Validation of proposed DSM-5 criteria for autism spectrum disorder.

Authors:  Thomas W Frazier; Eric A Youngstrom; Leslie Speer; Rebecca Embacher; Paul Law; John Constantino; Robert L Findling; Antonio Y Hardan; Charis Eng
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2011-11-21       Impact factor: 8.829

7.  The Study to Explore Early Development (SEED): a multisite epidemiologic study of autism by the Centers for Autism and Developmental Disabilities Research and Epidemiology (CADDRE) network.

Authors:  Diana E Schendel; Carolyn Diguiseppi; Lisa A Croen; M Daniele Fallin; Philip L Reed; Laura A Schieve; Lisa D Wiggins; Julie Daniels; Judith Grether; Susan E Levy; Lisa Miller; Craig Newschaffer; Jennifer Pinto-Martin; Cordelia Robinson; Gayle C Windham; Aimee Alexander; Arthur S Aylsworth; Pilar Bernal; Joseph D Bonner; Lisa Blaskey; Chyrise Bradley; Jack Collins; Casara J Ferretti; Homayoon Farzadegan; Ellen Giarelli; Marques Harvey; Susan Hepburn; Matthew Herr; Kristina Kaparich; Rebecca Landa; Li-Ching Lee; Brooke Levenseller; Stacey Meyerer; Mohammad H Rahbar; Andria Ratchford; Ann Reynolds; Steven Rosenberg; Julie Rusyniak; Stuart K Shapira; Karen Smith; Margaret Souders; Patrick Aaron Thompson; Lisa Young; Marshalyn Yeargin-Allsopp
Journal:  J Autism Dev Disord       Date:  2012-10

8.  Correspondence analysis is a useful tool to uncover the relationships among categorical variables.

Authors:  Nadia Sourial; Christina Wolfson; Bin Zhu; Jacqueline Quail; John Fletcher; Sathya Karunananthan; Karen Bandeen-Roche; François Béland; Howard Bergman
Journal:  J Clin Epidemiol       Date:  2009-11-06       Impact factor: 6.437

9.  Investigating phenotypic heterogeneity in children with autism spectrum disorder: a factor mixture modeling approach.

Authors:  Stelios Georgiades; Peter Szatmari; Michael Boyle; Steven Hanna; Eric Duku; Lonnie Zwaigenbaum; Susan Bryson; Eric Fombonne; Joanne Volden; Pat Mirenda; Isabel Smith; Wendy Roberts; Tracy Vaillancourt; Charlotte Waddell; Teresa Bennett; Ann Thompson
Journal:  J Child Psychol Psychiatry       Date:  2012-08-01       Impact factor: 8.982

10.  Elevated lead levels from e-waste exposure are linked to sensory integration difficulties in preschool children.

Authors:  Haoxing Cai; Xijin Xu; Yu Zhang; Xiaowei Cong; Xueling Lu; Xia Huo
Journal:  Neurotoxicology       Date:  2019-01-18       Impact factor: 4.294

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  1 in total

1.  Early measurement of autism risk constructs in the general population: A new factor structure of the First Years Inventory (FYIv3.1) for ages 6-16 months.

Authors:  Grace T Baranek; John Sideris; Yun-Ju Chen; Elizabeth R Crais; Lauren Turner-Brown; Linda R Watson
Journal:  Autism Res       Date:  2022-03-03       Impact factor: 4.633

  1 in total

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