Actigraphy-derived sleep health profiles and mortality in older men and women

Meredith L. Wallace, Soomi Lee, Katie L. Stone, Martica H. Hall, Stephen F. Smagula, Susan Redline, Kristine Ensrud, Sonia Ancoli-Israel, Daniel J. Buysse

Research output: Contribution to journalArticlepeer-review

Abstract

STUDY OBJECTIVES: To identify actigraphy sleep health profiles in older men (Osteoporotic Fractures in Men Study; N = 2640) and women (Study of Osteoporotic Fractures; N = 2430), and to determine whether profile predicts mortality. METHODS: We applied a novel and flexible clustering approach (Multiple Coalesced Generalized Hyperbolic mixture modeling) to identify sleep health profiles based on actigraphy midpoint timing, midpoint variability, sleep interval length, maintenance, and napping/inactivity. Adjusted Cox models were used to determine whether profile predicts time to all-cause mortality. RESULTS: We identified similar profiles in men and women: High Sleep Propensity [HSP] (20% of women; 39% of men; high napping and high maintenance); Adequate Sleep [AS] (74% of women; 31% of men; typical actigraphy levels); and Inadequate Sleep [IS] (6% of women; 30% of men; low maintenance and late/variable midpoint). In women, IS was associated with increased mortality risk (Hazard Ratio [HR] = 1.59 for IS vs. AS; 1.75 for IS vs. HSP). In men, AS and IS were associated with increased mortality risk (1.19 for IS vs. HSP; 1.22 for AS vs. HSP). CONCLUSIONS: These findings suggest several considerations for sleep-related interventions in older adults. Low maintenance with late/variable midpoint is associated with increased mortality risk and may constitute a specific target for sleep health interventions. High napping/inactivity co-occurs with high sleep maintenance in some older adults. Although high napping/inactivity is typically considered a risk factor for deleterious health outcomes, our findings suggest that it may not increase risk when it occurs in combination with high sleep maintenance.

Original languageEnglish (US)
Article numberzsac015
JournalSleep
Volume45
Issue number4
DOIs
StatePublished - Apr 1 2022

Bibliographical note

Publisher Copyright:
© 2022 The Author(s) 2022. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Keywords

  • actigraphy
  • clustering
  • mixture model
  • mortality
  • older adult
  • skewed data
  • sleep health

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural

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