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Comparison of a Sleep Item From the General Health Questionnaire-12 With the Jenkins Sleep Questionnaire as Measures of Sleep Disturbance

机译:将《一般健康状况调查表12》中的睡眠项目与詹金斯睡眠调查表中的睡眠干扰进行比较

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Background: The objective of this study was to examine whether a widely available single-item measure of sleep disturbances is an acceptable alternative to a multi-item sleep questionnaire. Methods: Data were derived from Finnish Helsinki Health Study postal questionnaires administered in 2000–2002 ( n = 7777, response rate 67%). The measures were the 4-item Jenkins Sleep Questionnaire (JSQ) on difficulties initiating and maintaining sleep, and nonrestorative sleep, and an item on sleep loss due to worry, from the General Health Questionnaire-12 (GHQ-12). Receiver operating characteristics (ROC) curve analyses were done to compare the predictive performance of the GHQ-12 item with the JSQ scale. Using the above 2 measures of sleep, logistic regression models were used to examine associations between sociodemographic factors, working conditions, health-related factors, and sleep disturbance. Results: The estimated area under the ROC curve was 0.68 among both women and men, which suggests that the ability of the GHQ-12 item to discriminate true positives from false positives was modest. However, the associations of sleep disturbance with its key determinants were largely similar using the GHQ-12 and the JSQ. Conclusions: A widely available, GHQ-12-based, single-item sleep measure was not an adequate substitute for a multi-item measure of overall sleep disturbance. Although the measures produced largely similar associations for key determinants of poor sleep, the discrepancies between responses must be considered when analyzing data from a measure that uses a single sleep item.
机译:背景:这项研究的目的是检查是否可以使用一种广泛使用的单项睡眠障碍测量方法来代替多项睡眠问卷。方法:数据来自2000-2002年间芬兰芬兰赫尔辛基健康研究邮政调查表(n = 7777,回复率67%)。措施包括《一般健康问题调查表12》(GHQ-12)的4项詹金斯睡眠调查表(JSQ),涉及开始和维持睡眠困难以及非恢复性睡眠,以及关于因担心而导致的睡眠丧失的项目。进行接收器工作特性(ROC)曲线分析,以比较GHQ-12项目与JSQ量表的预测性能。使用上述两种睡眠测量方法,使用逻辑回归模型检查社会人口统计学因素,工作条件,健康相关因素和睡眠障碍之间的关联。结果:男女之间在ROC曲线下的估计面积均为0.68,这表明GHQ-12项目区分真阳性和假阳性的能力中等。然而,使用GHQ-12和JSQ时,睡眠障碍与其主要决定因素的关联在很大程度上相似。结论:广泛可用的基于GHQ-12的单项睡眠指标不能完全替代多项整体睡眠障碍指标。尽管这些度量对于睡眠不良的关键决定因素产生了相似的关联,但是在分析来自使用单个睡眠项目的度量的数据时,必须考虑响应之间的差异。

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