| Literature DB >> 30853130 |
Glenna S Brewster1, Karen B Hirschman2, Barbara J Riegel3, Alexandra L Hanlon4, Liming Huang5, Miranda V McPhillips6, Katherine M Abbott7, Mary D Naylor8.
Abstract
Excessive daytime sleepiness (EDS) is prevalent in older adults; however, data are lacking that examine EDS across living environments. The aims of this secondary data analysis were to identify the prevalence and predictors of EDS among older adults receiving long-term services and supports (LTSS) in assisted living communities (ALCs), nursing homes (NHs), and the community. Participants (n = 470) completed multiple measures including daytime sleepiness. Logistic regression modeling was used to identify EDS predictors. Participants were primarily female and white with a mean age of 81 ± 9 years. The overall prevalence of EDS was 19.4%; the prevalence differed across living environment. Older adults in ALCs and NHs had higher odds of EDS than those living in the community. Also, depressive symptoms and number of bothersome symptoms predicted EDS. Upon admission for LTSS, evaluating older adults, especially those in ALCs and NHs, for depression and bothersome symptoms may reveal modifiable factors of EDS.Entities:
Keywords: Assisted living communities; Depression; Home and community-based services; Long-term care; Sleep disturbances
Mesh：
Year: 2019 PMID： 30853130 PMCID： PMC6708490 DOI： 10.1016/j.gerinurse.2019.01.006
Source DB: PubMed Journal: Geriatr Nurs ISSN： 0197-4572 Impact factor: 2.361