Literature DB >> 29195157

A meta-analysis of the association between vocalizations and expressive language in children with autism spectrum disorder.

Jena McDaniel1, Kathryn D'Ambrose Slaboch2, Paul Yoder3.   

Abstract

BACKGROUND: Targeting the frequency or complexity of prelinguistic vocalizations might improve the language trajectory of children with autism spectrum disorder (ASD) who exhibit continued expressive language deficits. AIMS: This meta-analysis evaluates the strength of the association between various measures of vocalizations and expressive language in young children with ASD and five putative moderators of that association to inform prelinguistic intervention development: consonant-centricity, communicativeness, concurrent versus longitudinal research design, risk for correlated measurement error, and publication status. METHODS AND PROCEDURES: We systematically searched databases and other sources for correlations between vocalizations and expressive language in children with ASD less than 9 years old. Using robust variance estimation, we calculated the weighted mean effect size and conducted moderator analyses. OUTCOMES AND
RESULTS: Nine studies (19 reports), which included 362 participants and 109 unique effect sizes, met inclusion criteria. The weighted mean effect size between vocalizations and expressive language was significant (r=0.50, 95% CI [0.23, 0.76]). As predicted, concurrent correlations were significantly stronger than longitudinal correlations. Other moderator effects were not detected. CONCLUSIONS AND IMPLICATIONS: Young children with ASD demonstrate a strong association between vocalizations and expressive language skills. Future experimental studies should investigate causal relations to guide intervention development.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Autism spectrum disorder; Language; Meta-analysis; Vocalizations

Mesh:

Year:  2017        PMID: 29195157      PMCID: PMC5772739          DOI: 10.1016/j.ridd.2017.11.010

Source DB:  PubMed          Journal:  Res Dev Disabil        ISSN: 0891-4222


  36 in total

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2.  Bias in meta-analysis detected by a simple, graphical test.

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3.  Stability and validity of an automated measure of vocal development from day-long samples in children with and without autism spectrum disorder.

Authors:  Paul J Yoder; D Kimbrough Oller; Jeffrey A Richards; Sharmistha Gray; Jill Gilkerson
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4.  Value-added predictors of expressive and receptive language growth in initially nonverbal preschoolers with autism spectrum disorders.

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Journal:  J Autism Dev Disord       Date:  2015-05

5.  Developmental and cross-linguistic variation in the infant vowel space: the case of Canadian English and Canadian French.

Authors:  Susan Rvachew; Karen Mattock; Linda Polka; Lucie Ménard
Journal:  J Acoust Soc Am       Date:  2006-10       Impact factor: 1.840

Review 6.  Learning words and learning sounds: Advances in language development.

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Journal:  Br J Psychol       Date:  2016-07-23

7.  The stability and validity of automated vocal analysis in preverbal preschoolers with autism spectrum disorder.

Authors:  Tiffany Woynaroski; D Kimbrough Oller; Bahar Keceli-Kaysili; Dongxin Xu; Jeffrey A Richards; Jill Gilkerson; Sharmistha Gray; Paul Yoder
Journal:  Autism Res       Date:  2016-07-26       Impact factor: 5.216

8.  Language outcomes of toddlers with autism spectrum disorders: a two year follow-up.

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Journal:  Autism Res       Date:  2008-04       Impact factor: 5.216

9.  Brief report: parent verbal responsiveness and language development in toddlers on the autism spectrum.

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10.  Individual differences in phonological development: ages one and three years.

Authors:  M M Vihman; M Greenlee
Journal:  J Speech Hear Res       Date:  1987-12
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3.  Predicting Expressive Language From Early Vocalizations in Young Children With Autism Spectrum Disorder: Which Vocal Measure Is Best?

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Journal:  J Autism Dev Disord       Date:  2020-01

5.  "Did I just do that?"-Six-month-olds learn the contingency between their vocalizations and a visual reward in 5 minutes.

Authors:  Tamar Keren-Portnoy; Helena Daffern; Rory A DePaolis; Christopher M M Cox; Ken I Brown; Florence A R Oxley; Mona Kanaan
Journal:  Infancy       Date:  2021-09-27

6.  Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life.

Authors:  L D Yankowitz; V Petrulla; S Plate; B Tunc; W Guthrie; S S Meera; K Tena; J Pandey; M R Swanson; J R Pruett; M Cola; A Russell; N Marrus; H C Hazlett; K Botteron; J N Constantino; S R Dager; A Estes; L Zwaigenbaum; J Piven; R T Schultz; J Parish-Morris
Journal:  Mol Autism       Date:  2022-06-27       Impact factor: 6.476

7.  When Will He Talk? An Evidence-Based Tutorial for Measuring Progress Toward Use of Spoken Words in Preverbal Children With Autism Spectrum Disorder.

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8.  Functional Brain Connectivity of Language Functions in Children Revealed by EEG and MEG: A Systematic Review.

Authors:  Isabelle Gaudet; Alejandra Hüsser; Phetsamone Vannasing; Anne Gallagher
Journal:  Front Hum Neurosci       Date:  2020-03-12       Impact factor: 3.169

  8 in total

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