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Proposing the Clinical Inventory of Sleep Quality

INTRODUCTION: The aim of the study was to propose the Clinical Inventory of Sleep Quality (CISQ), and compared it with the Pittsburgh sleep quality index (PSQI). METHODS: We studied 400 subjects with the CISQ. Cronbach’s alpha coefficient was calculated to measure the reliability, and to determine t...

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Detalles Bibliográficos
Autores principales: Fernández-Cruz, Karen A., Jiménez-Correa, Ulises, Marín-Agudelo, Hernán A., Castro-López, Claudio, Poblano, Adrián
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241619/
https://www.ncbi.nlm.nih.gov/pubmed/28123664
http://dx.doi.org/10.1016/j.slsci.2016.10.002
Descripción
Sumario:INTRODUCTION: The aim of the study was to propose the Clinical Inventory of Sleep Quality (CISQ), and compared it with the Pittsburgh sleep quality index (PSQI). METHODS: We studied 400 subjects with the CISQ. Cronbach’s alpha coefficient was calculated to measure the reliability, and to determine the concurrent validity, a Canonical correlation analysis was performed. At next, we used an exploratory and confirmatory Factorial analysis with Varimax rotation for validity construct calculation. RESULTS: Cronbach alpha coefficient of the scale was significantly strong (α=0.81). Canonic correlation was=0.93, suggesting that data proved that the CISQ and PSQI are measuring identical subject. Confirmatory Factorial analysis model grouped items of the scale in four factors: 1. Daytime symptoms, 2. Nocturnal symptoms, 3. Sleep disordered breathing symptoms, and 4. Sleep-related movement disorders symptoms. We proposed five categories to score CISQ in a range of 0–52 points, as follows: Good quality of sleep, Mild bad sleep quality, Moderate bad sleep quality, Severe bad sleep quality, and Profound bad sleep quality. CONCLUSION: CISQ is a promising tool to measure sleep quality and deserve more research to confirm its utility.