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.

Sleep Disturbance Scale for Children: Italian Validation in Autism Spectrum Disorder Population / Mignolli, E.; Scialpi, A.; Valente, D.; Berardi, A.; Galeoto, G.; Tofani, M.. - In: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. - ISSN 1660-4601. - 19:16(2022), p. 10163. [10.3390/ijerph191610163]

Sleep Disturbance Scale for Children: Italian Validation in Autism Spectrum Disorder Population

Berardi A.;Galeoto G.
Co-primo
Conceptualization
;
Tofani M.
2022

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.
2022
autism spectrum disorder; children; insomnia; outcome measure; parents; quality of sleep; sleep; sleep disorder; validation; Child; Humans; Italy; Psychometrics; Reproducibility of Results; Sleep; Surveys and Questionnaires; Autism Spectrum Disorder; Sleep Wake Disorders
01 Pubblicazione su rivista::01a Articolo in rivista
Sleep Disturbance Scale for Children: Italian Validation in Autism Spectrum Disorder Population / Mignolli, E.; Scialpi, A.; Valente, D.; Berardi, A.; Galeoto, G.; Tofani, M.. - In: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. - ISSN 1660-4601. - 19:16(2022), p. 10163. [10.3390/ijerph191610163]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1655878
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