Objective: This study investigated the differences in sociality, communication, and autism severity in children with autism spectrum disorder (ASD) according to the presence or absence of siblings, the number of siblings, the order of birth, and the sex of sibling.
Methods: We included 71 children with autism spectrum disorder who visited University Hospital as outpatients. We compared the communication and socialization scores using the Korean Version of the Vineland Adaptive Behavior Scale, second edition (K-VABS II); social interaction, communication, and language using the autism diagnostic interview-revised (ADI-R); and the total score of the Korean-Childhood Autism Rating Scale 2 (K-CARS 2) according to the presence or absence of siblings, the number of siblings, the order of birth and the sex of sibling. Data were evaluated with independent -tests and analysis of variance (ANOVA) tests.
Results: The patient's average age was 48.8 ± 13.6 months. There was a significant difference in the total score of K-CARS-2 according to the sex of siblings. The male sibling group was 34.36 ± 6.11 and the female sibling group was 30.29 ± 6.41 points, respectively.
Conclusion: This result indicates that the quality of sibling interactions in families with a child with ASD may play a significant role in reducing ASD severity and improving the quality of sibling interactions, rather than the number of siblings alone affecting the social interactions of children with ASD.
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http://dx.doi.org/10.5152/alphapsychiatry.2024.241645 | DOI Listing |
J Neurodev Disord
January 2025
Graduate Neuroscience Program, University of California, Riverside, CA, USA.
Background: Fragile X syndrome (FXS) is a leading known genetic cause of intellectual disability and autism spectrum disorders (ASD)-associated behaviors. A consistent and debilitating phenotype of FXS is auditory hypersensitivity that may lead to delayed language and high anxiety. Consistent with findings in FXS human studies, the mouse model of FXS, the Fmr1 knock out (KO) mouse, shows auditory hypersensitivity and temporal processing deficits.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, Republic of Korea.
Autism spectrum disorder (ASD) affects up to 1 in 59 children, and is one of the most common neurodevelopmental disorders. Recent genomic studies have highlighted the role of rare variants in ASD. This study aimed to identify genes affected by rare variants shared by siblings with ASD and validate the function of a candidate gene FRRS1L.
View Article and Find Full Text PDFJ Intellect Disabil
January 2025
Pro Vice Chancellor, Staffordshire University, UK.
Background: Autism spectrum disorder poses challenges in social communication and behavior, while Intellectual disabilities are characterized by deficits in cognitive, social, and adaptive skills, frequently accompanied by stereotypies and challenging behaviors. Despite the progress made in autism spectrum disorder research, there is often a lack of research focusing on individuals with co-occurring autism spectrum disorder and intellectual disability. Robot-assisted autism therapies are effective in addressing these needs.
View Article and Find Full Text PDFJ Commun Disord
November 2024
Department of English Literature and Linguistics, Bar-Ilan University, Israel; Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Israel. Electronic address:
Introduction: Autism spectrum disorder (ASD) is characterized by impairments in social interactions, social communication, and repetitive and stereotyped patterns of behavior. Previous studies have reported mixed findings regarding the links between language (i.e.
View Article and Find Full Text PDFInt J Dev Neurosci
February 2025
Department of Psychiatry and Clinical Psychology, Chonggang General Hospital, Chongqing, China.
Background: Autism spectrum disorder (ASD) appears to be a common neurological developmental deficit disorder in pediatric patients, resulting in a tremendous burden on society.
Purpose: The article aimed to explore early diagnostic markers for ASD.
Methods: Levels of long non-coding RNA (lncRNA) H19 and microRNA-484 (miR-484) were detected using fluorescence quantitative polymerase chain reaction (PCR).
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