Literature DB >> 35332402

Spoken Language Change in Children on the Autism Spectrum Receiving Community-Based Interventions.

David Trembath1, Matt Stainer2, Teena Caithness2, Cheryl Dissanayake3, Valsamma Eapen4, Kathryn Fordyce5, Veronica Frewer6, Grace Frost7, Kristelle Hudry3, Teresa Iacono3, Nicole Mahler2, Anne Masi4, Jessica Paynter2, Katherine Pye3, Shannon Quan2, Leanne Shellshear2, Rebecca Sutherland2,8, Stephanie Sievers2, Abirami Thirumanickam9, Marleen F Westerveld10, Madonna Tucker11.   

Abstract

We assessed the spoken language of 73 preschool aged children on the autism spectrum receiving community-based early intervention at two time points, approximately 7 months apart. Using the Spoken Language Benchmarks, there was a small non-significant change in the proportion of children transitioning from below, to at or above, Phase 3 (word combinations). Using binomial regression, a model comprising seven of nine clinician-proposed child-related predictors explained 64% of the variance. None of the predictors were individually significant, although a large effect size (OR = 16.71) was observed for children's baseline rate of communicative acts. The findings point to substantial unmet clinical need in children with minimal verbal language, but also the relevance of clinician-proposed predictors of their spoken language outcomes.
© 2022. The Author(s).

Entities:  

Keywords:  Autism; Communication; Intervention; Language; Minimally verbal; Preschool

Year:  2022        PMID: 35332402     DOI: 10.1007/s10803-022-05511-4

Source DB:  PubMed          Journal:  J Autism Dev Disord        ISSN: 0162-3257


  28 in total

1.  Communication and symbolic research in autism spectrum disorder: linking method and theory.

Authors:  Melissa L Allen; Charlie Lewis
Journal:  J Autism Dev Disord       Date:  2015-01

Review 2.  New and emerging AAC technology supports for children with complex communication needs and their communication partners: State of the science and future research directions.

Authors:  Janice Light; David McNaughton; Jessica Caron
Journal:  Augment Altern Commun       Date:  2019-01-16       Impact factor: 2.214

3.  Behavioral predictors of improved speech output in minimally verbal children with autism.

Authors:  Karen Chenausky; Andrea Norton; Helen Tager-Flusberg; Gottfried Schlaug
Journal:  Autism Res       Date:  2018-09-19       Impact factor: 5.216

4.  Eliciting Language Samples for Analysis (ELSA): A New Protocol for Assessing Expressive Language and Communication in Autism.

Authors:  Mihaela D Barokova; Chelsea La Valle; Sommer Hassan; Collin Lee; Mengyuan Xu; Riley McKechnie; Emily Johnston; Manon A Krol; Jennifer Leano; Helen Tager-Flusberg
Journal:  Autism Res       Date:  2020-09-09       Impact factor: 5.216

5.  Definitions of Nonverbal and Minimally Verbal in Research for Autism: A Systematic Review of the Literature.

Authors:  Lynn Kern Koegel; Katherine M Bryan; Pumpki L Su; Mohini Vaidya; Stephen Camarata
Journal:  J Autism Dev Disord       Date:  2020-08

6.  Language Predictors in Autism Spectrum Disorder: Insights from Neurodevelopmental Profile in a Longitudinal Perspective.

Authors:  Susana Mouga; Bárbara Regadas Correia; Cátia Café; Frederico Duque; Guiomar Oliveira
Journal:  J Abnorm Child Psychol       Date:  2020-01

7.  The development and predictive relations of play and language across the second year.

Authors:  P Lyytinen; M L Laakso; A M Poikkeus; N Rita
Journal:  Scand J Psychol       Date:  1999-09

8.  Using Spoken Language Benchmarks to Characterize the Expressive Language Skills of Young Children With Autism Spectrum Disorders.

Authors:  Allison Bean Ellawadi; Susan Ellis Weismer
Journal:  Am J Speech Lang Pathol       Date:  2015-11       Impact factor: 2.408

9.  Communication interventions for autism spectrum disorder in minimally verbal children.

Authors:  Amanda Brignell; Karen V Chenausky; Huan Song; Jianwei Zhu; Chen Suo; Angela T Morgan
Journal:  Cochrane Database Syst Rev       Date:  2018-11-05

10.  Comparison of Regression and Machine Learning Methods in Depression Forecasting Among Home-Based Elderly Chinese: A Community Based Study.

Authors:  Shaowu Lin; Yafei Wu; Ya Fang
Journal:  Front Psychiatry       Date:  2022-01-17       Impact factor: 4.157

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.