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良好睡眠者量表 - 15项:一份用于对良好睡眠者进行标准化评估的问卷。

The Good Sleeper Scale-15 items: a questionnaire for the standardised assessment of good sleepers.

作者信息

Manners Jack, Appleton Sarah L, Reynolds Amy C, Melaku Yohannes Adama, Gill Tiffany K, Lovato Nicole, Sweetman Alexander, Bickley Kelsey, Adams Robert, Lack Leon, Scott Hannah

机构信息

College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia.

Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.

出版信息

J Sleep Res. 2023 Apr;32(2):e13717. doi: 10.1111/jsr.13717. Epub 2022 Sep 5.

Abstract

Research with 'good sleepers' is ubiquitous, yet there are no standardised criteria to identify a 'good sleeper'. The present study aimed to create and validate a questionnaire for identifying good sleepers for use in research studies known as the Good Sleeper Scale-15 items (GSS-15). Data were derived from a population-based survey of Australian adults (n = 2,044). A total of 23 items were chosen for possible inclusion. An exploratory factor analysis (EFA) was conducted on ~10% of the survey dataset (n = 191) for factor identification and item reduction. A confirmatory factor analysis (CFA) was conducted on the remaining data (n = 1,853) to test model fit. Receiver operating characteristic curves and correlations were conducted to derive cut-off scores and test associations with sleep, daytime functioning, health, and quality-of-life. The EFA identified six factors: 'Sleep Difficulties', 'Timing', 'Duration', 'Regularity', 'Adequacy', and 'Perceived Sleep Problem'. The CFA showed that model fit was high and comparable to other sleep instruments, χ (63) = 378.22, p < 0.001, root mean square error of approximation = 0.05, with acceptable internal consistency (α = 0.76). Strong correlations were consistently found between GSS-15 global scores and outcomes, including 'a good night's sleep' (r = 0.7), 'feeling un-refreshed' (r = -0.59), and 'experienced sleepiness' (r = -0.51), p < 0.001. Cut-off scores were derived to categorise individuals likely to be a good sleeper (GSS-15 score ≥40) and those very likely to be a good sleeper (GSS-15 score ≥45). The GSS-15 is a freely available, robust questionnaire that will assist in identifying good sleepers for the purpose of sleep research. Future work will test relationships with other sleep measures in community and clinical samples.

摘要

针对“睡眠良好者”的研究无处不在,但却没有用于识别“睡眠良好者”的标准化标准。本研究旨在创建并验证一份用于识别睡眠良好者的问卷,即“良好睡眠者量表 - 15项”(GSS - 15),以供研究使用。数据源自一项针对澳大利亚成年人的基于人群的调查(n = 2044)。总共选择了23个项目以供纳入。对约10%的调查数据集(n = 191)进行探索性因素分析(EFA)以进行因素识别和项目精简。对其余数据(n = 1853)进行验证性因素分析(CFA)以检验模型拟合度。绘制接受者操作特征曲线并进行相关性分析,以得出临界分数并检验与睡眠、日间功能、健康和生活质量的关联。探索性因素分析确定了六个因素:“睡眠困难”、“时间安排”、“时长”、“规律性”、“充足性”和“感知到的睡眠问题”。验证性因素分析表明模型拟合度很高,与其他睡眠工具相当,χ(63) = 378.22,p < 0.001,近似均方根误差 = 0.05,内部一致性可接受(α = 0.7)。在GSS - 15总体得分与各项结果之间始终发现强相关性,包括“一夜好眠”(r = 0.7)、“感觉未恢复精力”(r = -0.59)和“经历过困倦”(r = -0.51),p < 0.001。得出临界分数以对可能是睡眠良好者(GSS - 15得分≥40)和极有可能是睡眠良好者(GSS - 15得分≥45)的个体进行分类。GSS - 15是一份免费提供的、可靠的问卷,将有助于为睡眠研究目的识别睡眠良好者。未来的工作将在社区和临床样本中测试其与其他睡眠测量方法的关系。

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