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ABSTRACT
BACKGROUND@#AND PURPOSE: This study aimed to determine the clinimetric properties of the Korean version of Parkinson's Disease Sleep Scale-2 (K-PDSS-2) and whether distinct subtypes of sleep disturbance can be empirically identified in patients with Parkinson's disease (PD) using the cross-culturally validated K-PDSS-2.@*METHODS@#The internal consistency, test–retest reliability, scale precision, and convergent validity of K-PDSS-2 were assessed in a nationwide, multicenter study of 122 patients with PD. Latent class analysis (LCA) was used to derive subgroups of patients who experienced similar patterns of sleep-related problems and nocturnal disabilities.@*RESULTS@#The total K-PDSS-2 score was 11.67±9.87 (mean±standard deviation) at baseline and 12.61±11.17 at the retest. Cronbach's α coefficients of the total K-PDSS-2 scores at baseline and follow-up were 0.851 and 0.880, respectively. The intraclass correlation coefficients over the 2-week study period ranged from 0.672 to 0.848. The total K-PDSS-2 score was strongly correlated with health-related quality of life measures and other corresponding nonmotor scales. LCA revealed three distinct subtypes of sleep disturbance in the study patients: “less-troubled sleepers,”“PD-related nocturnal difficulties,” and “disturbed sleepers.”@*CONCLUSIONS@#K-PDSS-2 showed good clinimetric attributes in accordance with previous studies that employed the original version of the PDSS-2, therefore confirming the cross-cultural usefulness of the scale. This study has further documented the first application of an LCA approach for identifying subtypes of sleep disturbance in patients with PD.
Texto completo: 1 Base de datos: WPRIM Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Journal of Clinical Neurology Año: 2020 Tipo del documento: Article
Texto completo: 1 Base de datos: WPRIM Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Journal of Clinical Neurology Año: 2020 Tipo del documento: Article