scholarly journals A Systematic Review of Polyvictimization among Children with Attention Deficit Hyperactivity or Autism Spectrum Disorder

2019 ◽  
Vol 16 (13) ◽  
pp. 2280 ◽  
Author(s):  
Hellström
Keyword(s):  
Autism Spectrum Disorder ◽  
Attention Deficit ◽  
Empirical Studies ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Future Research ◽  
Prevalence Rates ◽  
Children With Asd ◽  
Increased Risk ◽  
Methodological Considerations

Children with Autism Spectrum Disorder (ASD) or Attention Deficit Hyperactivity Disorder (ADHD) have shown an increased risk for violence and victimization. However, research on exposure to multiple forms of victimization in different contexts are scarce. Hence, the current aim is to review the evidence about polyvictimization among children with ASD or ADHD. PsycInfo, ERIC, ERC, Scopus, and PubMed databases were systematically searched until 12 March 2019 to identify empirical studies with reported prevalence rates of at least four forms of victimization among children with ASD or ADHD. A total of 6/1300 articles were included in the review, ranging in sample sizes from 92 to 4114. The reported prevalence rates for polyvictimization were 1.8% and 23.1% for children with ASD and 7.3% for children with ADHD. The results emphasize the high prevalence of violence and victimization, including polyvictimization, among children with ASD or ADHD. Polyvictimization among children with ASD or ADHD is a highly under researched area. Significant knowledge gaps and important methodological considerations that provide important implications for future research include lack of information on cyber bullying, frequency or intensity of victimization, and the failure to include children as informants and to report health outcomes associated with polyvictimization.

Exploring Growth in Expressive Communication of Infants and Toddlers With Autism Spectrum Disorder

2021 ◽  
pp. 105381512199557
Author(s):  
Jay Buzhardt ◽  
Anna Wallisch ◽  
Dwight Irvin ◽  
Brian Boyd ◽  
Brenda Salley ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Progress Monitoring ◽  
Autism Spectrum ◽  
Growth Patterns ◽  
Spectrum Disorder ◽  
Future Research ◽  
Infants And Toddlers ◽  
Early Communication ◽  
Children With Asd ◽  
Language Growth

One of the earliest indicators of autism spectrum disorder (ASD) is delay in language and social communication. Despite consensus on the benefits of earlier diagnosis and intervention, our understanding of the language growth of children with ASD during the first years of life remains limited. Therefore, this study compared communication growth patterns of infants and toddlers with ASD to growth benchmarks of a standardized language assessment. We conducted a retrospective analysis of growth on the Early Communication Indicator (ECI) of 23 infants and toddlers who received an ASD diagnosis in the future. At 42 months of age, children with ASD had significantly lower rates of gestures, single words, and multiple words, but significantly higher rates of nonword vocalizations. Children with ASD had significantly slower growth of single and multiple words, but their rate of vocalization growth was significantly greater than benchmark. Although more research is needed with larger samples, because the ECI was designed for practitioners to monitor children’s response to intervention over time, these findings show promise for the ECI’s use as a progress monitoring measure for young children with ASD. Limitations and the need for future research are discussed.

scholarly journals Acquisition of Verb Meaning From Syntactic Distribution in Preschoolers With Autism Spectrum Disorder

2018 ◽  
Vol 49 (3S) ◽  
pp. 668-680 ◽  
Author(s):  
Sabrina Horvath ◽  
Elizabeth McDermott ◽  
Kathleen Reilly ◽  
Sudha Arunachalam
Keyword(s):  
Autism Spectrum Disorder ◽  
Social Context ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Future Research ◽  
The Novel ◽  
Prior Work ◽  
Verb Learning ◽  
Children With Asd ◽  
Syntactic Frames

Purpose Our goal was to investigate whether preschool children with autism spectrum disorder (ASD) can begin to learn new word meanings by attending to the linguistic contexts in which they occur, even in the absence of visual or social context. We focused on verbs because of their importance for subsequent language development. Method Thirty-two children with ASD, ages 2;1–4;5 (years;months), participated in a verb-learning task. In a between-subjects design, they were randomly assigned to hear novel verbs in either transitive or intransitive syntactic frames while watching an unrelated silent animation or playing quietly with a toy. In an eye-tracking test, they viewed two video scenes, one depicting a causative event (e.g., boy spinning girl) and the other depicting synchronous events (e.g., boy and girl waving). They were prompted to find the referents of the novel verbs, and their eye gaze was measured. Results Like typically developing children in prior work, children with ASD who had heard the verbs in transitive syntactic frames preferred to look to the causative scene as compared to children who had heard intransitive frames. Conclusions This finding replicates and extends prior work on verb learning in children with ASD by demonstrating that they can attend to a novel verb's syntactic distribution absent relevant visual or social context, and they can use this information to assign the novel verb an appropriate meaning. We discuss points for future research, including examining individual differences that may impact success and contrasting social and nonsocial word-learning tasks directly.

Robots and Autism Spectrum Disorder

2016 ◽  
pp. 905-924
Author(s):  
Amie Senland
Keyword(s):  
Autism Spectrum Disorder ◽  
Critical Review ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Future Research ◽  
Future Directions ◽  
Children With Asd ◽  
Technological Intervention ◽  
Educational Applications ◽  
Potential Use

Technology featuring robots is a promising innovative technological intervention for treating and educating children with Autism Spectrum Disorder (ASD). This chapter reviews, critiques, and presents future directions for research on clinical and educational applications of robots for these children. Specifically, this chapter reviews current research on: (1) robots that act as social mediators for children with ASD and (2) robots that assist them in developing social skills such as joint attention and imitation. A critical review of the research suggests that robots may have the capacity to assist some of these children, but additional rigorous studies are necessary to demonstrate their efficacy and effectiveness. Future research must (1) examine whether robots have differential effects for specific subgroups of children with ASD and (2) contribute to a deeper understanding of robots' potential use in educational settings.

scholarly journals Risk Factors for Unhealthy Weight Gain and Obesity among Children with Autism Spectrum Disorder

2019 ◽  
Vol 20 (13) ◽  
pp. 3285 ◽  
Author(s):  
Khushmol K. Dhaliwal ◽  
Camila E. Orsso ◽  
Caroline Richard ◽  
Andrea M. Haqq ◽  
Lonnie Zwaigenbaum
Keyword(s):  
Risk Factors ◽  
Autism Spectrum Disorder ◽  
Weight Gain ◽  
Autism Spectrum ◽  
Lifestyle Factors ◽  
Repetitive Behaviors ◽  
Spectrum Disorder ◽  
Future Research ◽  
Children With Asd ◽  
Unhealthy Weight

Autism Spectrum Disorder (ASD) is a developmental disorder characterized by social and communication deficits and repetitive behaviors. Children with ASD are also at a higher risk for developing overweight or obesity than children with typical development (TD). Childhood obesity has been associated with adverse health outcomes, including insulin resistance, diabetes, heart disease, and certain cancers. Importantly some key factors that play a mediating role in these higher rates of obesity include lifestyle factors and biological influences, as well as secondary comorbidities and medications. This review summarizes current knowledge about behavioral and lifestyle factors that could contribute to unhealthy weight gain in children with ASD, as well as the current state of knowledge of emerging risk factors such as the possible influence of sleep problems, the gut microbiome, endocrine influences and maternal metabolic disorders. We also discuss some of the clinical implications of these risk factors and areas for future research.

Stability of Variables Derived From Measures of Multisensory Function in Children With Autism Spectrum Disorder

2020 ◽  
Vol 125 (4) ◽  
pp. 287-303 ◽  
Author(s):  
Kacie Dunham ◽  
Jacob I. Feldman ◽  
Yupeng Liu ◽  
Margaret Cassidy ◽  
Julie G. Conrad ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Multisensory Processing ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Mcgurk Effect ◽  
Spectrum Disorder ◽  
Future Research ◽  
Children With Asd ◽  
Listening In Noise ◽  
The Stability

Abstract Children with autism spectrum disorder (ASD) display differences in multisensory function as quantified by several different measures. This study estimated the stability of variables derived from commonly used measures of multisensory function in school-aged children with ASD. Participants completed: a simultaneity judgment task for audiovisual speech, tasks designed to elicit the McGurk effect, listening-in-noise tasks, electroencephalographic recordings, and eye-tracking tasks. Results indicate the stability of indices derived from tasks tapping multisensory processing is variable. These findings have important implications for measurement in future research. Averaging scores across repeated observations will often be required to obtain acceptably stable estimates and, thus, to increase the likelihood of detecting effects of interest, as it relates to multisensory processing in children with ASD.

scholarly journals Disorder-specific brain volumetric abnormalities in Attention-Deficit/Hyperactivity Disorder relative to Autism Spectrum Disorder

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241856
Author(s):  
Ariadna Albajara Sáenz ◽  
Peter Van Schuerbeek ◽  
Simon Baijot ◽  
Mathilde Septier ◽  
Nicolas Deconinck ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Intracranial Volume ◽  
Children With Adhd ◽  
Hyperactivity Disorder ◽  
Children With Asd ◽  
Neurocognitive Profiles

The overlap/distinctiveness between Attention-Deficit/Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) has been increasingly investigated in recent years, particularly since the DSM-5 allows the dual diagnosis of ASD and ADHD, but the underlying brain mechanisms remain unclear. Although both disorders are associated with brain volumetric abnormalities, it is necessary to unfold the shared and specific volume abnormalities that could contribute to explain the similarities and differences in the clinical and neurocognitive profiles between ADHD and ASD. In this voxel-based morphometry (VBM) study, regional grey matter volumes (GMV) were compared between 22 children with ADHD, 18 children with ASD and 17 typically developing (TD) children aged 8 to 12 years old, controlling for age and total intracranial volume. When compared to TD children or children with ASD, children with ADHD had a larger left precuneus, and a smaller right thalamus, suggesting that these brain abnormalities are specific to ADHD relative to ASD. Overall, this study contributes to the delineation of disorder-specific structural abnormalities in ADHD and ASD.

Parent-Implemented Trial-Based Functional Analysis for Young Children With ASD

2018 ◽  
Vol 34 (1) ◽  
pp. 29-40 ◽  
Author(s):  
Stephanie Gerow ◽  
Mandy Rispoli ◽  
Emily Gregori ◽  
Lisa Sanchez
Keyword(s):  
Autism Spectrum Disorder ◽  
Functional Analysis ◽  
Young Children ◽  
Challenging Behavior ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Future Research ◽  
Children With Asd ◽  
Function Based Intervention ◽  
Multiple Probe

There is growing support for the use of trial-based functional analysis (TBFA) in applied settings. The purpose of the present study was to assess the accuracy and social validity of parent-implemented TBFAs. The participants were three young children (ages 3–7 years old) with autism spectrum disorder (ASD) and their mothers. Each mother implemented the TBFA with coaching from a behavior consultant. Following the TBFA, parent-implemented function-based interventions were evaluated using a multiple-probe across parent–child dyads design. Child challenging behavior decreased and communication increased following the implementation of the function-based intervention. TBFAs required approximately 5 to 7 hr of consultant time, and each mother rated the TBFA as socially valid. The results of this study indicate parent-implemented TBFAs may be an accurate and socially valid method to evaluate the function of challenging behavior in homes. The discussion includes implications for practice and directions for future research.

Self-Injurious Behavior in Individuals With Autism Spectrum Disorder

2020 ◽  
pp. 325-348
Author(s):  
Cara E. Pugliese ◽  
Gregory L. Wallace ◽  
Laura Gutermuth Anthony ◽  
Lauren Kenworthy
Keyword(s):  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Future Research ◽  
Case Examples ◽  
Self Injury ◽  
Increased Risk ◽  
Evidence Based Treatments ◽  
Property Destruction

Individuals with autism spectrum disorder (ASD) and other intellectual and neurodevelopmental disabilities are at increased risk for engaging in one or more types of problem behavior (e.g., aggression, property destruction, self-injury). Self-injurious behavior (SIB), the focus of the current chapter, refers to behaviors that produce (or could produce) physical injury to an individual’s own body and is common among individuals with ASD. SIB poses immediate and long-term risks for the individuals and their caregivers. This chapter summarizes the prevalence and developmental course of SIB in individuals with ASD, as well as research on the etiology, diagnosis, assessment, and evidence-based treatments for SIB. Case examples and suggestions for future research are provided.

Robots and Autism Spectrum Disorder

2014 ◽  
pp. 178-196 ◽  
Author(s):  
Amie Senland
Keyword(s):  
Autism Spectrum Disorder ◽  
Critical Review ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Future Research ◽  
Future Directions ◽  
Children With Asd ◽  
Technological Intervention ◽  
Educational Applications ◽  
Potential Use

Technology featuring robots is a promising innovative technological intervention for treating and educating children with Autism Spectrum Disorder (ASD). This chapter reviews, critiques, and presents future directions for research on clinical and educational applications of robots for these children. Specifically, this chapter reviews current research on: (1) robots that act as social mediators for children with ASD and (2) robots that assist them in developing social skills such as joint attention and imitation. A critical review of the research suggests that robots may have the capacity to assist some of these children, but additional rigorous studies are necessary to demonstrate their efficacy and effectiveness. Future research must (1) examine whether robots have differential effects for specific subgroups of children with ASD and (2) contribute to a deeper understanding of robots’ potential use in educational settings.

scholarly journals Autism Spectrum Disorder and Neonatal Serum Magnesium Levels in Preterm Infants

2018 ◽  
Vol 5 ◽  
pp. 2329048X1880056 ◽  
Author(s):  
Amanda V. Bakian ◽  
Deborah A. Bilder ◽  
E. Kent Korgenski ◽  
Joshua L. Bonkowsky
Keyword(s):  
Autism Spectrum Disorder ◽  
Premature Infants ◽  
Serum Magnesium ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Future Research ◽  
Adjusted Relative Risk ◽  
Increased Risk ◽  
Autism Spectrum Disorder Risk ◽  
Spectrum Disorders

Premature birth is associated with increased risk of autism spectrum disorder. Antenatal maternal magnesium administration is known to reduce subsequent risk of cerebral palsy including among premature infants, suggesting a potentially broader neuroprotective role for magnesium. Our objective was to determine whether magnesium could be protective against autism spectrum disorders in premature infants. A cohort of 4855 preterm children was identified, magnesium levels from 24 to 48 hours of life recorded, and subsequent autism spectrum disorder status determined. Adjusted relative risk of autism spectrum disorder with each 1 mg/dL increase in neonatal magnesium level was 1.15 (95% confidence interval: 0.86-1.53). Analysis of variance indicated that magnesium levels varied by gestational age and maternal antenatal magnesium supplementation, but not autism spectrum disorder status ( F1,4824 = 1.43, P = .23). We found that neonatal magnesium levels were not associated with decreased autism spectrum disorder risk. Future research into autism spectrum disorder risks and treatments in premature infants is needed.

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