ArticleDigital health
Assessing technology usage in relation to the quality of life of autistic children.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Caught in the Web of the Net? Part II: A Motivation-Based Developmental Psychopathology Model for the Aberrant Internet Use in (Young) People with Autism Spectrum Disorder.Clinical child and family psychology review · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The aim of this study was to investigate the frequency and duration of technology use by autistic children, their primary activities when engaging with technology, and the association between technology use and quality of life. We assumed that technology serves as a means of communication with peers, and it is associated with an improved quality of life. Methods: The study sample consisted of 61 parents of autistic children aged 5-10 years old. The Quality of Life for Children with Autism Spectrum Disorder Scale was used to measure children's quality of life based on parent report, and the Technology Use Scale was used to measure the amount of time spent using technology and its purpose. Data collected were analyzed to identify correlations between technology use and quality of life. Results: Findings indicate that autistic children primarily use technology for relaxation purposes and a smaller proportion of children in the sample used technology for socialization. A positive correlation was found between technology use for social interactions and higher parental perceptions of quality of life. These findings suggest that while social use of technology is less frequent, it is associated with improved well-being. Conclusions: We concluded that technology use among autistic children is predominantly for leisure activities; however, when used for socialization, it is linked to a better perceived quality of life. Future research should further explore the specific benefits and potential risks of technology use for communication and socialization in autistic children. Additionally, the efficacy of technology-based interventions in improving social skills and overall well-being should be evaluated.
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