Objective: To use the Italian version of the General Sleep Disturbance Scale (GSDS-IT) to assess the psychometric properties in a sample of orthopedic patients. Methods: Participants were divided into sleepless and non-sleepless according to the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-V). Reliability was assessed with Cronbach’s alpha. To evaluate responsiveness, the scale was administered a second time after the rehabilitation program. Results: The scale was administered to the 158 patients recruited. The GSDS-IT had good internal consistency (Cronbach’s α of 0.752) and good responsiveness (ICC of 0.78). The optimal cut-off point for the GSDS-IT was 48.5. Conclusion: The GSDS-IT was demonstrated to be a valid and rapid tool to detect the presence of sleep disorders in a clinical setting in patients admitted to an intensive care unit and allowed the detection of the onset one week after admission and persisting until the time of discharge.
The Italian version of the General Sleep Disturbance Scale (GSDS-IT): Psychometric properties in a sample with hip and knee replacement / Galeoto, G.; Scialpi, A.; Grassi, M. L.; Berardi, A.; Valente, D.; Tofani, M.; Paoloni, M.. - In: CRANIO. - ISSN 0886-9634. - (2020), pp. 1-5-5. [10.1080/08869634.2020.1817649]
The Italian version of the General Sleep Disturbance Scale (GSDS-IT): Psychometric properties in a sample with hip and knee replacement
Galeoto G.;Berardi A.;Valente D.;Tofani M.;Paoloni M.
2020
Abstract
Objective: To use the Italian version of the General Sleep Disturbance Scale (GSDS-IT) to assess the psychometric properties in a sample of orthopedic patients. Methods: Participants were divided into sleepless and non-sleepless according to the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-V). Reliability was assessed with Cronbach’s alpha. To evaluate responsiveness, the scale was administered a second time after the rehabilitation program. Results: The scale was administered to the 158 patients recruited. The GSDS-IT had good internal consistency (Cronbach’s α of 0.752) and good responsiveness (ICC of 0.78). The optimal cut-off point for the GSDS-IT was 48.5. Conclusion: The GSDS-IT was demonstrated to be a valid and rapid tool to detect the presence of sleep disorders in a clinical setting in patients admitted to an intensive care unit and allowed the detection of the onset one week after admission and persisting until the time of discharge.File | Dimensione | Formato | |
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