Department of Health Sciences, Faculty of Science, University of York, York, UK.
Department of Psychology, Sociology and Politics, Sheffield Hallam University, Sheffield, UK.
J Public Health (Oxf). 2020 Feb 28;42(1):e34-e41. doi: 10.1093/pubmed/fdz016.
Sleep health is a relatively new multidimensional concept, however, there is no consensus on its underlying dimensions. A previous study examined potential indicators of sleep health using an aggregated sleep health measure. However, the psychometric properties are yet to be determined. The primary aim was to assess the factor structure, reliability and validity of this measure. A secondary aim was to explore the relationships with perceived stress, and physical and mental health.
A cross-sectional online survey was conducted with 257 adults from the UK aged 18-65 (78.4% female, mean age = 29.39 [SD = 11.37]). Participants completed 13 Sleep health items, the Pittsburgh Sleep Quality Inventory, Insomnia Severity Scale, Epworth Sleepiness Scale, Perceived Stress Scale and SF-12 Health Survey.
The measure exhibited good internal consistency (α = 0.785) and construct validity as determined by associations with existing measures. Principle components analysis produced four factors e; sleep quality (α = 0.818), sleep adaptability (α = 0.917), sleep wellness (α = 0.621) and daytime functioning (α = 0.582). Adaptability (β = -241) was strongest predictor of perceived stress, and daytime functioning was strongest predictor of physical (β = 0.322) and mental health (β = 0.312).
Sleep health is a multidimensional construct comprising four distinct but related dimensions. The importance of sleep health in terms of perceived stress and mental and physical health is highlighted.
睡眠健康是一个相对较新的多维概念，但对于其潜在维度尚未达成共识。先前的一项研究使用综合睡眠健康测量法来检验睡眠健康的潜在指标。然而，其心理测量学特性尚待确定。主要目的是评估该测量方法的结构、信度和效度。次要目的是探索其与感知压力以及身心健康的关系。
采用横断面在线调查方法，对来自英国的 257 名 18-65 岁成年人（78.4%为女性，平均年龄=29.39[标准差=11.37]）进行了调查。参与者完成了 13 项睡眠健康指标、匹兹堡睡眠质量指数、失眠严重程度量表、Epworth 嗜睡量表、感知压力量表和 SF-12 健康调查。
该测量方法表现出良好的内部一致性（α=0.785）和结构效度，与现有测量方法的关联得到了证实。主成分分析产生了四个因子，即睡眠质量（α=0.818）、睡眠适应性（α=0.917）、睡眠健康（α=0.621）和日间功能（α=0.582）。适应性（β=-241）是感知压力的最强预测因素，而日间功能是身体（β=0.322）和精神健康（β=0.312）的最强预测因素。
睡眠健康是一个多维结构，包含四个不同但相关的维度。强调了睡眠健康在感知压力以及身心健康方面的重要性。
