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Domains included in multidimensional sleep health composite scores: A scoping review

Siengsukon, C.; Robichaud, J.; Barry, A.; Vaduvathiriyan, P.; Bock, K.

2025-05-07 public and global health
10.1101/2025.05.06.25327078 medRxiv
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While the SATED/Ru-SATED sleep health framework is well-recognized, there is no consensus for how many or which domains should be included in the construct of a multidimensional sleep health (MDSH) composite score or how the domains are defined. Therefore, the purpose of this scoping review is determine what domains are included in MDSH composite scores and how are those domains assessed. The Preferred Reporting Items for Systematic Reviews and Meta- Analyses extension for scoping reviews (PRISMA - ScR) and the Joanna Briggs Institutes (JBI) updated methodology for scoping reviews were used. Two authors independently reviewed titles/abstracts, full-texts, and performed data extraction, and one author resolved any discrepancies with discussion as needed. The search strategy generated 1,481 references, 107 underwent a full-text screening, and 39 were eligible for inclusion in this scoping review. Five and six domains were the most common number of domains included in the MDSH composite scores (n=17 for both). Seventeen articles included only self-report measures and n=19 articles included a mix of self-report and objective measures. Thirteen unique domains were identified with Duration being the most common (n=38), followed by Alertness/Sleepiness (n=35), Satisfaction/Quality (n=32), and Timing (n=31). In conclusion, while the domains most often included in the MDSH composite scores followed the SATED/Ru-SATED framework, there was variability in the domains included as well as variability in how the domains were assessed. Consensus is needed on the definition of sleep health domains or, at a minimum, clear reporting on the definitions used. Further research is needed to determine which MDSH domains are most associated with health outcomes.

Published in Sleep Health · not in our set (fewer than 10 published preprints to learn from) · training set

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