Objective: Autism spectrum disorder is a lifelong neurodevelopmental condition encompassing complex physical and neurological symptoms, including complex sensory symptoms. This review explores the interface between autism spectrum disorder and paediatric ENT.
Methods: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses ('PRISMA') guideline, a robust literature search and review was conducted by two researchers. Thirty-four papers were filtered into the final review.
Results: Published literature clearly demonstrates potential for autism spectrum disorder to present in the form of auditory and other sensory symptoms to ENT surgeons and audiologists who may not fully appreciate this complex condition. Despite this well-documented link, auditory symptoms, auditory processing disorders and hearing loss within autism spectrum disorder remain poorly understood.
Conclusion: Improved recognition and understanding of autism spectrum disorder by otolaryngologists could enable more effective diagnostic and management strategies for autistic children who present with auditory and other sensory symptoms. In light of the current 'autism epidemic,' there is an urgent need for further research on this theme.
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http://dx.doi.org/10.1017/S0022215122001980 | DOI Listing |
Behav Anal Pract
December 2024
Simmons University, Boston, MA USA.
Unlabelled: One of the most critical intervention strategies when working with individuals with significant language delays associated with autism spectrum disorder and related developmental delays is teaching mands. For mand training to be effective, an establishing operation (EO) must be in effect, yet EOs are often difficult to observe. Before learning to mand, an individual may point to or approach a reinforcer, which likely indicates an EO related to that reinforcer, and may be considered an indicating response (IR).
View Article and Find Full Text PDFBehav Anal Pract
December 2024
Department of Special Education, The University of Texas at Austin, 1 University Station/D5300, Austin, TX 78712 USA.
Culturally and linguistically diverse (CLD) families of autistic children face unique challenges in accessing services that are appropriate for their cultures and languages. The purpose of the current study was to evaluate the impact of training language on caregiver skill acquisition. Using behavioral skills training (BST) through telehealth, three Latino caregivers whose first language is Spanish were taught to implement two different behavioral protocols with their autistic children.
View Article and Find Full Text PDFBehav Anal Pract
December 2024
Department of Special Education and Rehabilitation Counseling, Utah State University, Logan, UT USA.
Unlabelled: Children with autism spectrum disorder (ASD) may have difficulty engaging in cooperative communication during classroom learning center activities with peers. This study examined the effects of using an activity schedule intervention package on the rate of contextually appropriate cooperative exchanges for children with ASD during classroom learning centers. In this study, children with ASD worked together in participant partnerships to complete learning center activities.
View Article and Find Full Text PDFBehav Anal Pract
December 2024
The New England Center for Children, 33 Turnpike Road, Southborough, MA 01772 USA.
Unlabelled: We evaluated the effects of a video modeling training package on the implementation of graduated guidance instruction for three caregivers of young children with autism spectrum disorder. The video model was narrated and featured a generic model of graduated guidance that was different from the tasks used in the study. One of the caregiver-child dyads participated via telehealth during the COVID-19 pandemic.
View Article and Find Full Text PDFBehav Anal Pract
December 2024
Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA.
Unlabelled: Collecting data and logging behaviors of clients who have autism spectrum disorder (ASD) during applied behavior analysis (ABA) therapy sessions can be challenging in real time, especially when the behaviors require a rapid response, like self-injury or aggression. Little information is available about the automation of data collection in ABA therapy, such as through machine learning (ML). Our survey of ABA therapists nationally revealed mixed levels of familiarity with ML and generally neutral responses to statements endorsing the benefits of ML.
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