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Observation of Spontaneous Expressive Language (OSEL): a new measure for spontaneous and expressive language of children with autism spectrum disorders and other communication disorders.

ABSTRACT: A new language measure, the Observation of Spontaneous Expressive Language (OSEL), is intended to document spontaneous use of syntax, pragmatics, and semantics in 2-12-year-old children with Autism Spectrum Disorder (ASD) and other communication disorders with expressive language levels comparable to typical 2-5 year olds. Because the purpose of the OSEL is to provide developmental norms for use of language, the first step involves assessment of the scale's feasibility, validity, and reliability using a sample of 180 2-5 year-old typically developing children. Pilot data from the OSEL shows strong internal consistency, high reliabilities and validity. Once replicated with a large population-based sample and in special populations, the scale should be helpful in designing appropriate interventions for children with ASD and other communication disorders.

SUBMITTER: Kim SH

PROVIDER: S-EPMC4224614 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature

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Observation of Spontaneous Expressive Language (OSEL): a new measure for spontaneous and expressive language of children with autism spectrum disorders and other communication disorders.

Kim So Hyun SH Junker Dörte D Lord Catherine C

Journal of autism and developmental disorders 20141201 12

A new language measure, the Observation of Spontaneous Expressive Language (OSEL), is intended to document spontaneous use of syntax, pragmatics, and semantics in 2-12-year-old children with Autism Spectrum Disorder (ASD) and other communication disorders with expressive language levels comparable to typical 2-5 year olds. Because the purpose of the OSEL is to provide developmental norms for use of language, the first step involves assessment of the scale's feasibility, validity, and reliability ...[more]

PMID: 25022249

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Project description:BACKGROUND:The prevalence of Autism Spectrum Disorder (ASD) appears to be increasing globally due to the complex interaction of multiple biopsychosocial and environmental factors. Mobile phones, tablets, and other electronic gadgets have transformed our means of communication, and have also changed both healthcare and how we learn. These technological enhancements may have a positive impact on the lives of children, but there is currently a global scarcity of information on how information technology influences the education of children with ASD. OBJECTIVE:This study was conducted in Rwandan schools and communities, and aimed to understand the perceptions of students with ASD, their parents, and their teachers, on the use of Information and Communication Technology (ICT) in the education of those with ASD. METHODS:This qualitative descriptive study was conducted from December 2017 to July 2018. Researchers conducted four focus group discussions (FGDs) with 54 participants from different backgrounds: teachers, parents, and students with ASD. Each of the FGDs took approximately two and a half hours. A predefined set of open-ended questions were selected to discover people's perceptions regarding assistive technologies used in ASD, their effectiveness, the scope of using them in their context, and upcoming challenges during implementation. The interviews were recorded, transcribed, and analyzed. RESULTS:The findings of the study revealed seven key themes: (1) the use of ICT for the education of children with ASD; (2) existing augmentative facilities for learning; (3) current patterns of use of ICT in education; (4) preferred areas of learning for ASD students; (5) integration of ICT into educational programs; (6) areas of interest outside the classroom; and (7) future opportunities and challenges in Rwanda. We found most of the study participants assumed that appropriate technology and related innovations might solve the challenges faced by learners with ASD in classrooms. Moreover, they thought that children with ASD more so enjoyed watching television, playing digital games, and drawing objects using gadgets than interacting with people or playing with other children. CONCLUSIONS:The use of various low-cost technical devices can aid with teaching and the education of children with autism in Rwanda. However, this area requires further research to discover the impact ICT can have on the education of children with ASD, so this study may become a starting point for further research in the area.

Project description:Flourishing is an indicator of positive mental health and is important for children's development and well-being. We used variables from the National Survey of Children's Health 2016 as indicators of flourishing (difficulty making friends, is bullied, bullies others, shares ideas with family, argues, finishes tasks, does all homework, shows curiosity, stays calm, and cares about doing well in school) to compare differences in parent perceptions of their children with and without autism spectrum disorder (ASD). We anticipate that these findings will help identify intervention targets to support the well-being of individuals with ASD. Children between 6 and 17 years of age, without intellectual disability, brain injury, cerebral palsy, or Down syndrome were included. Total participants were 34,171 controls (male/female = 17,116/17,155) and 812 with ASD (male/female = 668/144). Factor analysis resulted in three-factor structures (social competence, behavioral control, and school motivation) with good model fit (root mean square error of approximation = 0.08, comparative fit index = 0.92, Tucker-Lewis index = 0.89). The multivariate regression model and propensity score with inverse probability of treatment weighting (PS-IPTW) method revealed that children with ASD had lower scores in the social competence and behavioral control factors compared to the control group (all P < 0.05). However, no significant differences were found in the school motivation factor between the two groups (P > 0.05) in both multivariate regression model and PS-IPTW method. Findings suggest that social competence and behavioral control are indicators of flourishing and are important intervention targets to increase flourishing among children with ASD. Autism Res 2019, 12: 952-966. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Flourishing is an indicator of positive mental health and is important for children's development and well-being. We used variables from The National Survey of Children's Health 2016 to examine differences in parent perceptions of the indicators of flourishing (difficulty making friends, is bullied, bullies others, shares ideas with family, argues, finishes tasks, does all homework, shows curiosity, stays calm, and cares about doing well in school) between children with and without autism spectrum disorders (ASD). We anticipate that this information will help to identify therapeutic targets to support the well-being of individuals with ASD. Children between 6 and 17 years old, without intellectual disability (ID), brain injury (BI), cerebral palsy (CP), or Down syndrome (DS) were included. From the total (N = 50,212), we excluded children under age 6 (n = 14,494), those who once, but do not currently have ASD (n = 81), and those with ID (n = 432), BI (n = 170), CP (n = 35), and DS (n = 17), resulting in 34,983 records used. Total participants, age 6-17 years, were 34,171 controls (male/female = 17,116/17,155) and 812 with ASD (male/female = 668/144). Factor analysis resulted in the identification of three flourishing categories among the indicator variables (social competence, behavioral control, and school motivation). Children with ASD had lower scores in the social competence and behavioral control factors compared to the control group. However, there were no significant differences in the school motivation factor between the two groups. Findings suggest that social competence and behavioral control are indicators of flourishing and are important intervention targets to increase flourishing among children with ASD.

Project description:BackgroundStudies estimate that 30% of individuals with autism are minimally verbal. Understanding what factors predict longer-term expressive development in children with language delays is critical to inform identification and treatment of those at-risk for persistent language impairments. The present study examined predictors of expressive language development in language-delayed preschoolers followed through later school-age and young adulthood.MethodsChildren using single words or less on the Autism Diagnostic Observation Schedule (ADOS) at approximately 3 years old were drawn from the Early Diagnosis (EDX) and Pathways in ASD longitudinal cohorts. Age-3 predictors of Age-19 ADOS language level were identified using Classification and Regression Trees (CART) in the EDX sample. Linear mixed models examined the effects of CART-identified predictors on Vineland expressive communication (VExp) trajectories from Age-3 to Age-19. The same linear mixed models were examined in the Pathways sample, identifying predictors of VExp from ages 3 to 10.5 years.ResultsSignificantly delayed fine motor skills (T-score < 20) was the strongest CART predictor of Age-19 language. In the linear mixed models, time, Age-3 fine motor skills and initiation of joint attention (IJA) predicted VExp trajectories in the EDX sample, even when controlling for Age-3 visual receptive abilities. In the Pathways sample, time and Age-3 fine motor skills were significant predictors of VExp trajectories; IJA and cognitive skills were not significant predictors.ConclusionsMarked deficits in fine motor skills may be a salient proxy marker for identifying language-delayed children with ASD who are at risk for persistent language impairments. This finding adds to the literature demonstrating a relation between motor and language development in ASD. Investigating individual skill areas (e.g., fine motor and nonverbal problem-solving skills), rather than broader indices of developmental level (e.g., nonverbal IQ) may provide important cues to understanding longer-term language outcomes that can be targeted in early intervention.

Project description:Both children with autism spectrum disorders (ASD) and children with specific language impairment (SLI) have been shown to have difficulties with grammatical processing. A comparison of these two populations with neurodevelopmental disorders was undertaken to examine similarities and differences in the mechanisms that may underlie grammatical processing. Research has shown that working memory (WM) is recruited during grammatical processing. The goal of this study was to examine morphosyntactic processing on a grammatical judgment task in children who varied in clinical diagnosis and language abilities and to assess the extent to which performance is predicted by nonverbal working memory (WM). Two theoretical perspectives were evaluated relative to performance on the grammatical judgment task-the "working memory" account and the "wrap-up" account. These accounts make contrasting predictions about the detection of grammatical errors occurring early versus late in the sentence.Participants were 84 school-age children with SLI (n = 21), ASD (n = 27), and typical development (TD, n = 36). Performance was analyzed based on diagnostic group as well as language status (normal language, NL, n = 54, and language impairment, LI, n = 30). A grammatical judgment task was used in which the position of the error in the sentence (early versus late) was manipulated. A visual WM task (N-back) was administered and the ability of WM to predict morphosyntactic processing was assessed.Groups differed significantly in their sensitivity to grammatical errors (TD > SLI and NL > LI) but did not differ in nonverbal WM. Overall, children in all groups were more sensitive and quicker at detecting errors occurring late in the sentence than early in the sentence. Nonverbal WM predicted morphosyntactic processing across groups, but the specific profile of association between WM and early versus late error detection was reversed for children with and without language impairment.Findings primarily support a "wrap up" account whereby the accumulating sentence context for errors positioned late in the sentence (rather than early) appeared to facilitate morphosyntactic processing. Although none of the groups displayed deficits in visual WM, individual differences in these nonverbal WM resources predicted proficiency in morphosyntactic processing.

Dataset Information

Observation of Spontaneous Expressive Language (OSEL): a new measure for spontaneous and expressive language of children with autism spectrum disorders and other communication disorders.

Publications

Observation of Spontaneous Expressive Language (OSEL): a new measure for spontaneous and expressive language of children with autism spectrum disorders and other communication disorders.

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