Allen, SF, Akram, Umair and Ellis, JG (2020) Examination of sleep health dimensions and their associations with perceived stress and health in a UK sample. Journal of public health (Oxford, England), 42 (1). e34-e41. ISSN 1741-3842
Full content URL: https://doi.org/10.1093/pubmed/fdz016
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Item Type: | Article |
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Item Status: | Live Archive |
Abstract
<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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).<h4>Conclusions</h4>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.
Keywords: | Sleep, Stress |
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Subjects: | C Biological Sciences > C800 Psychology |
Divisions: | College of Social Science > School of Psychology |
ID Code: | 52588 |
Deposited On: | 20 Dec 2022 14:17 |
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