ArticleInternational journal of environmental research and public health2022
Sleep Disturbance Scale for Children: Italian Validation in Autism Spectrum Disorder Population.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- The Relationship Between ADHD Symptom Severity and Sleep Disturbance Using Accelerometer and the Subjective Sleep Disturbance Scale.Journal of attention disorders · 2026Article
- Sleep problems in autistic children and adolescents: an age-stratified approach.Frontiers in psychology · 2026Article
- Sleep Mediates the Association Between Emotion Dysregulation and Repetitive Behaviors in Autistic Children.Journal of autism and developmental disorders · 2025Article
- The Prevalence and Clinical Significance of Toe Walking in Autism Spectrum Disorder: A Cross-Sectional Study in an Italian Pediatric Sample.Medicina (Kaunas, Lithuania) · 2025Observational
- Assessment of Psychometric Characteristics of Parkinson's Disease Sleep Scale 2 and Analysis of a Cut-Off Score for Detecting Insomnia in Italian Patients with Parkinson's Disease: A Validation Study.Journal of personalized medicine · 2024Article
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Authors and funding
6 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Sleep disorders in children with autism spectrum disorders (ASDs) are well-described. However, there is a lack of specific assessment tools to investigate sleep disturbance in this target population. The present investigation reports the Italian validation of the Sleep Disturbance Scale for Children (SDSC) in the ASD population, also investigating the correlation between sleep disorders In both children and parents. Internal consistency and test−retest reliability were investigated using Cronbach’s alpha and intraclass correlation coefficient (ICC), respectively. Concurrent validity was analyzed by comparing the score of the SDSC with the Pittsburgh Sleep Quality Index (PSQI), while the correlation between the SDCS score and the General Sleep Disturbance Scale (GSDS) was used to analyze the correlation between sleep disorders in children and sleep disorders in their parents. In total, 99 children with a diagnosis of ASD participated in the study. Cronbach’s alpha revealed satisfactory value (0.853), as well as reliability (ICC 0.972) and concurrent validity (0.745). Our results also revealed a significant linear correlation between children’s and parents’ sleep disorders (p < 0.05). In conclusion, we found the SDSC to be a useful tool for measuring sleep disorders in ASD children. Our findings offer concrete inputs to achieve adequate pathways for taking care of children with ASDs and their parents.
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