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提出睡眠质量临床量表。

Proposing the Clinical Inventory of Sleep Quality.

作者信息

Fernández-Cruz Karen A, Jiménez-Correa Ulises, Marín-Agudelo Hernán A, Castro-López Claudio, Poblano Adrián

机构信息

Department of Statistics, Universidad Veracruzana, Xalapa, México.

Clinic of Sleep Disorders, Universidad Nacional Autónoma de México, Mexico City, México.

出版信息

Sleep Sci. 2016 Jul-Sep;9(3):216-220. doi: 10.1016/j.slsci.2016.10.002. Epub 2016 Oct 20.

Abstract

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 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 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.

摘要

引言

本研究旨在提出睡眠质量临床量表(CISQ),并将其与匹兹堡睡眠质量指数(PSQI)进行比较。

方法

我们使用CISQ对400名受试者进行了研究。计算克朗巴哈系数以测量可靠性,并进行典型相关分析以确定同时效度。接下来,我们使用探索性和验证性因子分析及方差最大化旋转来计算效度结构。

结果

该量表的克朗巴哈系数显著较高(α = 0.81)。典型相关系数为0.93,表明数据证明CISQ和PSQI测量的是同一主题。验证性因子分析模型将量表项目分为四个因子:1. 日间症状,2. 夜间症状,3. 睡眠呼吸紊乱症状,4. 睡眠相关运动障碍症状。我们提出了五类来对CISQ进行评分,范围为0至52分,如下:睡眠质量良好、轻度睡眠质量差、中度睡眠质量差、重度睡眠质量差和极重度睡眠质量差。

结论

CISQ是一种有前景的测量睡眠质量的工具,值得更多研究来证实其效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1955/5241619/3f8c642d7d7b/gr1.jpg

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