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Sleep Disturbance Scale for Children

Italian Validation in Autism Spectrum Disorder Population

Bibliographic Data

ID15475307
AuthorsEster Mignolli (Sapienza University of Rome), Alessia Scialpi (Sapienza University of Rome), Donatella Valente (0000-0002-4566-1473, Istituto Neurologico Mediterraneo, corresponding author), Anna Berardi (0000-0003-0670-5303, Sapienza University of Rome), Giovanni Galeoto (0000-0002-9043-5686, Istituto Neurologico Mediterraneo), Marco Tofani (0000-0003-2071-4513, Bambino Gesù Children's Hospital)
Year2022
Volume19
Issue16
Pages10163-10163
Publication date2022-08-16
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph191610163
PMID36011798
OpenAlexW4292295320
LanguageEN
References cited45

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

Autism · Autism spectrum disorder · Concurrent validity · Correlation · Cronbach's alpha · Insomnia · Internal consistency · Intraclass correlation · Pittsburgh Sleep Quality Index · Population · Psychiatry · Psychometrics · Reliability (semiconductor · Sleep (system call · Sleep disorder · Sleep quality · Child Nutrition and Feeding Issues · Clinical Psychology · Family and Disability Support Research · Medicine · Psychology · Sleep and related disorders

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