Emory University, Nell Hodgson Woodruff School of Nursing, United States; University of Pennsylvania, School of Medicine, Center for Sleep and Circadian Neurobiology, United States.
University of Pennsylvania, School of Nursing, United States.
Geriatr Nurs. 2019 Jul-Aug;40(4):417-423. doi: 10.1016/j.gerinurse.2019.01.006. Epub 2019 Mar 7.
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.
日间嗜睡（EDS）在老年人中很常见；然而，缺乏在不同生活环境中评估 EDS 的数据。本二次数据分析的目的是确定在辅助生活社区（ALC）、养老院（NH）和社区接受长期服务和支持（LTSS）的老年人中 EDS 的患病率和预测因素。参与者（n=470）完成了多项包括日间嗜睡的测量。使用逻辑回归模型确定 EDS 的预测因素。参与者主要为女性和白人，平均年龄为 81±9 岁。EDS 的总体患病率为 19.4%；患病率因生活环境而异。在 ALC 和 NH 中的老年人比在社区中生活的老年人患 EDS 的几率更高。此外，抑郁症状和困扰症状的数量预测了 EDS。在接受 LTSS 入院时，评估老年人，尤其是那些在 ALC 和 NH 中的老年人，评估抑郁和困扰症状可能会发现 EDS 的可改变因素。
