A J Esbensen1, E K Hoffman1. 1. Cincinnati Children's Hospital Medical Center, Division of Developmental and Behavioral Pediatrics, Cincinnati, OH,, USA.
Abstract
BACKGROUND: Behavioural sleep disturbances are common among children with Down syndrome (DS). However, tools used to detect and evaluate behavioural sleep disturbances were developed for typically developing children and have not been evaluated for use among children with DS. The current study evaluates the psychometric properties of three measures of behavioural sleep disturbances that are currently being used with children with intellectual and developmental disabilities, including children with DS. METHOD: Caregivers of 30 children with DS rated their child's sleep with the Behavioral Evaluation of Disorders of Sleep (BEDS), Children's Sleep Habits Questionnaire (CSHQ) and Sleep Disturbances Scale for Children (SDSC). Caregivers also provided information on sleep diagnoses and completed a 7-night sleep and behaviour diary. RESULTS: The study investigated the rate of detecting sleep problems, internal consistency, and convergent and concurrent validity of the BEDS, CSHQ and SDSC. Children with DS were reported to exhibit behavioural sleep disturbances at different rates depending on the measure used; 0% BEDS, 79.3% CSHQ and 17.2% SDSC. Internal consistency was comparable for all three measures for their total scores. However, when evaluating the internal consistency of subscale scores, those on the CSHQ and SDSC performed more strongly. The subscales of the CSHQ performed best when evaluating convergent and concurrent validity, with the SDSC subscales performing moderately well. CONCLUSION: The study findings suggest that, among children with DS, the CSHQ and its subscales performed in a psychometrically sound and theoretically appropriate manner in relation to other measures of sleep, medical history of sleep problems, and daily reports of sleep and associated behaviours. The SDSC performed moderately well. When evaluating behavioural sleep disturbances among children with DS, the CSHQ is recommended based on its stronger psychometric properties.
BACKGROUND: Behavioural sleep disturbances are common among children with Down syndrome (DS). However, tools used to detect and evaluate behavioural sleep disturbances were developed for typically developing children and have not been evaluated for use among children with DS. The current study evaluates the psychometric properties of three measures of behavioural sleep disturbances that are currently being used with children with intellectual and developmental disabilities, including children with DS. METHOD: Caregivers of 30 children with DS rated their child's sleep with the Behavioral Evaluation of Disorders of Sleep (BEDS), Children's Sleep Habits Questionnaire (CSHQ) and Sleep Disturbances Scale for Children (SDSC). Caregivers also provided information on sleep diagnoses and completed a 7-night sleep and behaviour diary. RESULTS: The study investigated the rate of detecting sleep problems, internal consistency, and convergent and concurrent validity of the BEDS, CSHQ and SDSC. Children with DS were reported to exhibit behavioural sleep disturbances at different rates depending on the measure used; 0% BEDS, 79.3% CSHQ and 17.2% SDSC. Internal consistency was comparable for all three measures for their total scores. However, when evaluating the internal consistency of subscale scores, those on the CSHQ and SDSC performed more strongly. The subscales of the CSHQ performed best when evaluating convergent and concurrent validity, with the SDSC subscales performing moderately well. CONCLUSION: The study findings suggest that, among children with DS, the CSHQ and its subscales performed in a psychometrically sound and theoretically appropriate manner in relation to other measures of sleep, medical history of sleep problems, and daily reports of sleep and associated behaviours. The SDSC performed moderately well. When evaluating behavioural sleep disturbances among children with DS, the CSHQ is recommended based on its stronger psychometric properties.
Authors: Anna J Esbensen; Emily K Hoffman; Dean W Beebe; Kelly Byars; Adam C Carle; Jeffery N Epstein; Cynthia Johnson Journal: Am J Intellect Dev Disabil Date: 2022-03-01
Authors: Sarah Grantham-Hill; Hazel J Evans; Catherine Tuffrey; Emma Sanders; Heather E Elphick; Paul Gringras; Ruth N Kingshott; Jane Martin; Janine Reynolds; Anna Joyce; Catherine M Hill; Karen Spruyt Journal: Front Psychiatry Date: 2020-04-28 Impact factor: 4.157
Authors: Elisa Fucà; Floriana Costanzo; Laura Celestini; Alessandra Mandarino; Stefano Vicari Journal: Int J Environ Res Public Health Date: 2021-05-09 Impact factor: 3.390