The Italian version of the General Sleep Disturbance Scale (GSDS-IT): Psychometric properties in a sample with hip and knee replacement.

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.

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

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.

Italian Validation of the Pittsburgh Sleep Quality Index (PSQI) in a Population of Healthy Children: A Cross Sectional Study.

BACKGROUND: Sleep disorders are one of the most discussed topics in scientific literature every year. Although they are one of the most studied topics, in both adults and children, knowledge of sleep disorders and their treatment is still not completely clear, and there is a need to deepen and analyze these disorders on a country-by-country basis. However, research in the Italian literature reveals a scarce quantity of tools to evaluate sleep quality in children. The Pittsburgh Sleep Quality Index (PSQI) is probably the most commonly used retrospective self-assessment questionnaire in the adult population. PURPOSE: We aimed to validate and analyze the psychometric characteristics of this tool in order to detect and explore the presence of sleep disorders in a healthy Italian population of children throughout the country. METHODS: Individuals aged between 3 and 16 years without symptoms of insomnia were included in this study. The reliability and construct validity of the PSQI were assessed according to Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) guidelines. RESULTS: We enrolled 222 individuals in this study (mean age 11 years). The PSQI demonstrated good internal consistency (Cronbach's α = 0.719). Test-retest reliability was assessed on a randomized subgroup of the sample (n = 35). The PSQI showed good test-retest reliability with an intraclass correlation coefficient of 0.829 for the total score (95% confidence interval: 0.662-0.914). The Pearson correlation coefficient, used for construct validity, showed a statistically significant positive correlation with the Sleep Disturbance Scale for Children (SDSC). CONCLUSION: The PSQI proved to be a very reliable and valid tool to investigate sleep experiences in children.

General Sleep Disturbance Scale: Translation, cultural adaptation, and psychometric properties of the Italian version.

Objective: The aim of this study was to translate, culturally adapt, and test the psychometric characteristics of the General Sleep Disturbance Scale (GSDS) and to detect and explore the presence of sleep disorders in the healthy Italian population.Methods: Reliability was assessed through Cronbach's alpha and intraclass correlation coefficient; concurrent validity was assessed with the Pittsburgh Sleep Quality Index (PSQI).Results: The scale was administered to 426 subjects recruited all over Italy. The Italian GSDS was found to have good internal consistency (Cronbach's α was 0.77) and a good test-retest reliability (ICC of 0.78). The optimal cut-off point for the GSDS-IT was 38.5.Conclusion: The GSDS-IT is a valid and reliable tool, which can be completed in less than five minutes and is a noninvasive method for measuring sleep disturbances consistent with the DSM-V insomnia criteria, during a past week.

General Sleep Disturbance Scale (GSDS-IT) in people with spinal cord injury: a psychometric study.

STUDY DESIGN: Psychometric study. OBJECTIVE: This study sought to analyze the psychometric properties of the Italian version of the General Sleep Disturbance Scale (GSDS-IT) in a population of individuals with spinal cord injury (SCI). SETTING: Italy. METHODS: Its reliability was assessed using the Cronbach's alpha and intraclass correlation coefficient (ICC), while its concurrent validity was assessed using the Pearson's correlation coefficient in relation to the Pittsburgh Sleep Quality Index (PSQI). The obtained scores were compared with the cut-off score for the GSDS-IT among a healthy Italian population (38.5). RESULTS: The GSDS-IT was administered to 57 participants with SCI who were recruited from all over Italy. The GSDS-IT was found to have good internal consistency (Cronbach's α of 0.76) and good test-retest reliability (ICC of 0.7), and it showed positive and significant values for all the PSQI domains. Based on the cut-off score of 38.5, 56% of participants tested positive for sleep disturbances upon admission (t0), while among the randomized participants submitted for the test-retest after 24 h (t1), 75% tested positive for sleep disturbances. CONCLUSION: The GSDS-IT is a valid, reliable, and time-efficient tool for measuring sleep disturbances over the past week in a population with SCI.