Sleep Health as Measured by RU SATED: A Psychometric Evaluation

Ravyts, Scott G.; Dzierzewski, Joseph M.; Perez, Elliottnell; Donovan, Emily K.; Dautovich, Natalie D.

doi:10.1080/15402002.2019.1701474

Cited by 56 publications

(43 citation statements)

References 20 publications

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“…Similarly, in a sample of adults studied in the United States in nonpandemic times, while women reported more insomnia symptoms and lower sleep self-efficacy than men, reflecting the common finding that women report a poorer sleep quality than do men, overall sleep health did not differ according to gender. 23 …”

Section: Discussionmentioning

confidence: 99%

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Sleeping when the world locks down: Correlates of sleep health during the COVID-19 pandemic across 59 countries

et al. 2021

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Section: Discussionmentioning

confidence: 99%

“… 18 , 22 The scale has been shown to be psychometrically valid. 23 Psychological distress was measured using 2 scales. DASS-21 24 was used to assess stress and depression over the past week, and the GAD-7 25 for assessing anxiety over the past 2 weeks.…”

Section: Methodsmentioning

confidence: 99%

Sleeping when the world locks down: Correlates of sleep health during the COVID-19 pandemic across 59 countries

et al. 2021

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“…spindles, k-complexes) has yet to be established despite emerging data on the unique information contained in these measures (27,46). These limitations highlight that sleep health is undergoing conceptual advances and scale development (1, 6), scale validation (5,6), implementations of sleep health in cohort studies and community samples (21,47), innovations in methodological approaches (4,7,41,48), optimal range and threshold determination (18,22), and many practical choices on how best to analyze multidimensional sleep data. We suggest that statistical dependencies are an additional factor to contend with.…”

Section: Limitationsmentioning

confidence: 99%

“…First, sleep health approaches multiple sleep dimensions (conceptually, operationally, analytically) as contributors to a unitary or a composite concepta metric of global sleep health (1,4). Extant scales include Buysse's Ru SATED scale and the National Sleep Foundation's Sleep Health Index (5,6). Consistent and valid scales are necessary for scalable, longitudinal data collection that enables quantification of population shifts in global sleep health.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Sleep Health: Concepts, Advances, and Implications for Research and Intervention

Chung

Goodman

Huang

et al. 2021

Preprint

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The new paradigm of multidimensional sleep health (‘sleep health’) offers both challenges and opportunities for sleep science. Buysse (2014) has described sleep health to be multidimensional, framed as positive attributes, operationalizable into composite measures of global sleep health, sensitive to upstream exposures, and consequential for downstream health. We highlight two paradigm-shifting effects of a multidimensional sleep health perspective. The first is the use of composite sleep metrics which i) enable quantification of population shifts in sleep health, ii) with possibly reduced measurement error, iii) greater statistical stability, and iv) reduced multiple-testing burdens. The second is that sleep dimensions do not occur in isolation, that is, they are commonly biologically or statistically dependent. These dependencies complicate hypothesis tests yet can be leveraged to inform scale construction, model interpretation, and inform targeted interventions. To illustrate these points, we i) extended Buysse’s Ru SATED model; ii) constructed a conceptual model of sleep health; and iii) showed exemplar analyses from the Multi-Ethnic Study of Atherosclerosis (n=735). Our findings support that sleep health is a distinctively useful paradigm to facilitate interpretation of a multitude of sleep dimensions. Nonetheless, the field of sleep health is still undergoing rapid development and is currently limited by: i) a lack of evidence-based cut-offs for defining optimal sleep health; ii) longitudinal data to define utility for predicting health outcomes; and iii) methodological research to inform how to best combine multiple dimensions for robust and reproducible composites.

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“…Scores on this 6-item scale range from 0 (poor sleep health) to 12 (good sleep health). Preliminary evidence suggests that the scale is a valid and reliable measure for the assessment of sleep health indicators (Ravyts, Dzierzewski, Perez, Donovan, & Dautovich, 2019…”

Section: Sleepmentioning

confidence: 99%

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

et al. 2020

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Objective Racial disparities in sleep may be consequential among college students given high rates of dysfunctional sleep among this population. The present study sought to investigate whether disparities in sleep explain existing mental health disparities. Method Data included secondary analysis of a college risk behaviors and health study (n = 1242, mean age = 18.5). Race was dichotomized as White or Black, excluding all others, with participants completing measures of sleep at baseline and measures of depression and anxiety at follow‐up 1 to 2 years later. Results Compared to White students, Black students were more likely to report lower rates of depression and anxiety, but poorer sleep outcomes. Mediation analyses revealed that sleep partially mediated (suppressed) the association between race and depressive and anxiety symptoms. Conclusions Results indicate that disparities in sleep may play an important role in the association between race and mental health symptoms among college students. Future health disparity research would benefit from exploring the potentially bidirectional relationship between sleep and mental health symptoms among college students.

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Sleep Health as Measured by RU SATED: A Psychometric Evaluation

Cited by 56 publications

References 20 publications

Sleeping when the world locks down: Correlates of sleep health during the COVID-19 pandemic across 59 countries

Sleeping when the world locks down: Correlates of sleep health during the COVID-19 pandemic across 59 countries

Multidimensional Sleep Health: Concepts, Advances, and Implications for Research and Intervention

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

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