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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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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 |
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. |
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