PURPOSE: The study was conducted to explore the degree to which caregiver burden is associated with sleep quality in parents of children with autism spectrum disorder, and to determine a statistically valid cutoff score for the Caregiver Burden Inventory (CBI) in order to identify parents of risk of poor sleep quality. DESIGN AND METHODS: We conducted a cross-sectional analysis. We assessed caregiver burden with the CBI, sleep quality with the Pittsburgh Sleep Quality Index, emotional status with the Hospital Anxiety and Depression Scale, and impact on family with the Impact on Family Scale. Caregiver burden was evaluated with a logistic regression analysis. The best fit model was used in a receiver operating characteristic analysis. Likelihood ratios and post-test probabilities were calculated. RESULTS: A total of 116 parents were included in this study. Higher caregiver burden was associated with a reduction in sleep quality in the logistic regression analysis (p < 0.001). The area under the curve for the univariate burden test model (best fit) was 76.70 (p < 0.001). The cutoff score for poor sleep quality was caregiver burden ≥26.50. The post-test probability of poor sleep quality increased to 82.02% from a pre-test probability of 76.72%. CONCLUSIONS: Our findings suggest that caregiver burden is associated with sleep quality among parents of children with autism spectrum disorder. The findings suggest that a CBI cutoff score of 26.50 may help to detect risk of poor sleep quality in parents of children with autism spectrum disorder.
PURPOSE: The study was conducted to explore the degree to which caregiver burden is associated with sleep quality in parents of children with autism spectrum disorder, and to determine a statistically valid cutoff score for the Caregiver Burden Inventory (CBI) in order to identify parents of risk of poor sleep quality. DESIGN AND METHODS: We conducted a cross-sectional analysis. We assessed caregiver burden with the CBI, sleep quality with the Pittsburgh Sleep Quality Index, emotional status with the Hospital Anxiety and Depression Scale, and impact on family with the Impact on Family Scale. Caregiver burden was evaluated with a logistic regression analysis. The best fit model was used in a receiver operating characteristic analysis. Likelihood ratios and post-test probabilities were calculated. RESULTS: A total of 116 parents were included in this study. Higher caregiver burden was associated with a reduction in sleep quality in the logistic regression analysis (p < 0.001). The area under the curve for the univariate burden test model (best fit) was 76.70 (p < 0.001). The cutoff score for poor sleep quality was caregiver burden ≥26.50. The post-test probability of poor sleep quality increased to 82.02% from a pre-test probability of 76.72%. CONCLUSIONS: Our findings suggest that caregiver burden is associated with sleep quality among parents of children with autism spectrum disorder. The findings suggest that a CBI cutoff score of 26.50 may help to detect risk of poor sleep quality in parents of children with autism spectrum disorder.