Literature DB >> 29028524

Sleep health assessment: A scale validation.

Nathália Brandolim Becker1, Rute Isabel Santos Martins2, Saul de Neves Jesus3, Roberto Chiodelli4, Michael Stephen Rieber2.   

Abstract

Sleep health is a new and important concept. Considering the need to expand the research on sleep from the health perspective, this research proposes to validate a Sleep Health Scale (SHS) for use with the Portuguese adult population. A sample of 540 community-dwelling adults aged 18-90 years old was included. The SHS scores ranged from 0 to 30 with a mean of 19.09 (SD ± 6.49). The distribution indicated that all socio demographic variables (age, gender, and literacy) influenced sleep health. Exploratory factor analysis (EFA) demonstrated one factor for this measurement model with poor indices (Chi-square (df) = 55.02(9), p < 0.001). Confirmatory factor analysis (CFA) was performed on the single factor and showed a well-adjusted model except for question 5 (Chi-square (df) = 11.443(4), p = 0.022; RMSEA = 0.084; CFI=0.99; GFI = 0.98; AGFI = 0.94), the convergent validity (AVE = 0.55) and reliability values (α = 0.85 /CR = 0.86) were good. In conclusion, the Sleep Health Scale (SHS) is valid and reliable for the assessment of the several sleep health indicators of Portuguese adults. An investigation on the relationship between sleep health and well-being in promoting quality of life with this scale is recommended for future research.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adults; Portugal; Sleep Health; Sleep Health Scale; Validation

Mesh:

Year:  2017        PMID: 29028524     DOI: 10.1016/j.psychres.2017.10.014

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  12 in total

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2.  Mental health and sleep disparities in an urban college sample: A longitudinal examination of White and Black students.

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4.  Longitudinal Association Between Depressive Symptoms and Multidimensional Sleep Health: The SWAN Sleep Study.

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6.  Age Trends in Actigraphy and Self-Report Sleep Across the Life Span: Findings From the Pittsburgh Lifespan Sleep Databank.

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7.  Effect of a physical activity and sleep m-health intervention on a composite activity-sleep behaviour score and mental health: a mediation analysis of two randomised controlled trials.

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8.  Sleep Health as Measured by RU SATED: A Psychometric Evaluation.

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Journal:  Behav Sleep Med       Date:  2019-12-12       Impact factor: 2.964

9.  Multidimensional sleep health domains in older men and women: an actigraphy factor analysis.

Authors:  Meredith L Wallace; Lan Yu; Daniel J Buysse; Katie L Stone; Susan Redline; Stephen F Smagula; Marcia L Stefanick; Donna Kritz-Silverstein; Martica H Hall
Journal:  Sleep       Date:  2021-02-12       Impact factor: 5.849

10.  Multidimensional Sleep Health and Physical Functioning in Older Adults.

Authors:  Caitlan A Tighe; Ryan C Brindle; Sarah T Stahl; Meredith L Wallace; Adam D Bramoweth; Daniel E Forman; Daniel J Buysse
Journal:  Gerontol Geriatr Med       Date:  2021-05-20
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