Validation and Analysis of the Psychometric Properties of Two Irritability-Measuring Tools: The Affective Reactivity Index (ARI) and the Born-Steiner Irritability Scale (BSIS) in the Italian Adult and Adolescent Populations.

Irritability is a transdiagnostic symptom that affects quality of life during the lifespan of individuals. The objective of the present research was to validate two assessment tools, namely the Affective Reactivity Index (ARI) and the Born-Steiner Irritability Scale (BSIS). We investigated internal consistency as measured with Cronbach's alpha, test-retest with intraclass correlation coefficient (ICC) and convergent validity confronting ARI and BSIS scores with the strength and difficulties questionnaire (SDQ). Our results revealed ARI good internal consistency with a Cronbach's α of 0.79 for adolescent and 0.78 for adults. The BSIS also demonstrated good internal consistency for both samples with Cronbach's α = 0.87. Test-retest analysis showed excellent values for both tools. Convergent validity showed positive and significant correlation with SDW, albeit weak for some sub-scales. In conclusion, we found ARI and BSIS to be good tools for measuring irritability in adolescents and adults, and now, Italian healthcare professionals can use it with more confidence.

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.

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.