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Multi-Modal Home Sleep Monitoring in Older Adults
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Self-reported sleep problems among the elderly: A latent class analysis.

Junhong Yu1, Rathi Mahendran2, Fadzillah Nur Mohd Abdullah1

  • 1Department of Psychological Medicine, National University Hospital, Singapore.

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Summary
This summary is machine-generated.

This study identified four distinct sleep problem profiles in older adults, with the "multiple problems" group showing higher depression and anxiety. These profiles significantly improve predicting anxiety symptoms in the elderly.

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Area of Science:

  • Gerontology
  • Sleep Medicine
  • Psychiatry

Background:

  • Sleep problems are prevalent and heterogeneous among the elderly.
  • Understanding distinct sleep profiles is crucial for targeted interventions.

Purpose of the Study:

  • To identify profiles of sleep problems in a community-based elderly sample.
  • To explore demographic and psychiatric correlates of these sleep profiles.
  • To assess the predictive value of sleep profiles on mental health outcomes.

Main Methods:

  • A person-centered approach using latent class analysis on self-report measures.
  • Involved 515 elderly participants (mean age 67), with 230 analyzed for sleep profiles.
  • Assessed sleep problems, depression, and anxiety.

Main Results:

  • Four sleep problem profiles were identified: 'inadequate sleep', 'disturbed sleep', 'trouble falling asleep', and 'multiple problems'.
  • The 'multiple problems' group exhibited significantly higher depression and anxiety than the control group.
  • Sleep profiles significantly enhanced the prediction of anxiety, beyond sleep severity and demographics.

Conclusions:

  • Elderly sleep problems, despite heterogeneity, can be classified into four main profiles.
  • Identifying specific sleep profiles is valuable for understanding and predicting anxiety symptoms in older adults.
  • This classification aids in developing more precise interventions for sleep disturbances in the elderly.