Laura Palagini1, Gloria Ragno2, Lisa Caccavale3, Alessia Gronchi3, Michele Terzaghi2, Mauro Mauri3, Simon Kyle4, Colin A Espie4, Raffaele Manni2. 1. Sleep Disorder Clinic, Department of Clinical Experimental Medicine, Psychiatric Unit, University of Pisa, Pisa Italy. Electronic address: lpalagini@tiscali.it. 2. Unit of Sleep Medicine, National Neurological Institute C. Mondino Pavia, Italy. 3. Sleep Disorder Clinic, Department of Clinical Experimental Medicine, Psychiatric Unit, University of Pisa, Pisa Italy. 4. Sleepio Limited, London, UK; Nuffield Department of Clinical Neurosciences/Sleep & Circadian Neuroscience Institute, University of Oxford, UK.
Abstract
STUDY OBJECTIVES: The present study investigated the validity, reliability and, as novel aspects, the temporal stability and discriminant validity of the Italian version of the Sleep Condition Indicator (SCI), a new brief tool to appraise Insomnia Disorder (ID) according to the new criteria of the DSM-5. METHODS: Subjects with ID (DSM-5), Obstructive Sleep Apnea Syndrome (OSAS) (ICSD3) and a group of healthy subjects (H) were recruited. At the first evaluation (T1), SCI, the Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI) were administered. ID patients also completed the SCI 2months later (T2). Statistical analyses included Cronbach's alpha co-efficient calculation, Intraclass Correlation, Receiver Operating Characteristic (ROC) curves and Pearson correlations. RESULTS: Eighty-eight ID (n=50 F, mean age 49.9±15.1 years), 43 OSAS (n=22 F, mean age 50.2±9.1 years) and 40 H (n=22 F, 49.3±13 years) were recruited at T1. SCI, PSQI and ISI scores were significantly higher in the ID group vs H and OSAS (both p<.001). ROC analysis revealed cut off of >18 to correctly identify 100% of H, cut off of >17 the 100% of OSAS and <17 the 100% of ID. Cronbach's alpha were 0.71 at T0, 0.78 at T2 for ID, 0.76 and 0.81 respectively for H and OSAS. SCI showed a negative correlation with ISI (p<.01) and PSQI (p<.05). CONCLUSION: The Italian version of SCI shows good internal consistency, temporal stability and concurrent validity in insomnia, confirming data on the original version. Importantly, the present study shows that the SCI effectively discriminates insomnia from both normal sleep and OSAS.
STUDY OBJECTIVES: The present study investigated the validity, reliability and, as novel aspects, the temporal stability and discriminant validity of the Italian version of the Sleep Condition Indicator (SCI), a new brief tool to appraise Insomnia Disorder (ID) according to the new criteria of the DSM-5. METHODS: Subjects with ID (DSM-5), Obstructive Sleep Apnea Syndrome (OSAS) (ICSD3) and a group of healthy subjects (H) were recruited. At the first evaluation (T1), SCI, the Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI) were administered. ID patients also completed the SCI 2months later (T2). Statistical analyses included Cronbach's alpha co-efficient calculation, Intraclass Correlation, Receiver Operating Characteristic (ROC) curves and Pearson correlations. RESULTS: Eighty-eight ID (n=50 F, mean age 49.9±15.1 years), 43 OSAS (n=22 F, mean age 50.2±9.1 years) and 40 H (n=22 F, 49.3±13 years) were recruited at T1. SCI, PSQI and ISI scores were significantly higher in the ID group vs H and OSAS (both p<.001). ROC analysis revealed cut off of >18 to correctly identify 100% of H, cut off of >17 the 100% of OSAS and <17 the 100% of ID. Cronbach's alpha were 0.71 at T0, 0.78 at T2 for ID, 0.76 and 0.81 respectively for H and OSAS. SCI showed a negative correlation with ISI (p<.01) and PSQI (p<.05). CONCLUSION: The Italian version of SCI shows good internal consistency, temporal stability and concurrent validity in insomnia, confirming data on the original version. Importantly, the present study shows that the SCI effectively discriminates insomnia from both normal sleep and OSAS.
Authors: Laura Palagini; Raffaele Manni; Eugenio Aguglia; Mario Amore; Roberto Brugnoli; Paolo Girardi; Luigi Grassi; Claudio Mencacci; Giuseppe Plazzi; Antonino Minervino; Lino Nobili; Giovanni Biggio Journal: Front Psychiatry Date: 2020-06-26 Impact factor: 4.157
Authors: Amanda Hellström; Peter Hagell; Anders Broström; Martin Ulander; Annemarie I Luik; Colin A Espie; Kristofer Årestedt Journal: PLoS One Date: 2019-03-14 Impact factor: 3.240
Authors: Nicola Magnavita; Paolo Maurizio Soave; Walter Ricciardi; Massimo Antonelli Journal: Int J Environ Res Public Health Date: 2020-11-08 Impact factor: 3.390