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Author Notes:

Glenna S. Brewster

Nell Hodgson Woodruff School of Nursing, 1520 Clifton Road, Atlanta, GA 30322.

(404) 712-9164

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Subjects:

Research Funding:

This research was supported by the National Institute on Aging (grant number R01AG054079).

Keywords:

  • cognitive behavioral therapy for insomnia
  • cognitive decline
  • early morning awakenings
  • socioeconomic status
  • walking

Insomnia in Older Adults

Tools:

Journal Title:

Current Geriatrics Reports

Volume:

Volume 8, Number 4

Publisher:

, Pages 271-290

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Purpose of Review: To evaluate and summarize recent research articles pertaining to insomnia in older adults that can guide healthcare providers on factors to consider when assessing and managing insomnia. Recent Findings: Up to 75% of older adults experience symptoms of insomnia. Insomnia is associated with socioeconomic status, racial and ethnic classification, family relationships, medical and mental health disorders, cognitive function, and dementia. Although one-fifth of older adults are still prescribed sleep medications, cognitive behavioral therapy for insomnia is the first-line treatment for insomnia and has resulted in short-term and long-term benefits for older adults. Summary: To manage insomnia safely and effectively, healthcare providers need to consistently assess for insomnia during baseline and annual assessments, evaluate medical and social factors associated with insomnia, minimize the use of sleep medications, and provide referrals to and/or collaborate with providers who perform cognitive behavioral therapy for insomnia. Insomnia screening is important as it facilitates early intervention, reduces the potential for pharmacological management, and enables further assessment and early identification of associated outcomes, such as cognitive impairment.

Copyright information:

2019

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/rdf).
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