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养老院居民的睡眠模式及其与心理健康的关系:潜在剖面分析。

The sleep patterns and their associations with mental health among nursing home residents: a latent profile approach.

机构信息

School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, 250012, China.

The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.

出版信息

BMC Geriatr. 2023 Aug 3;23(1):468. doi: 10.1186/s12877-023-04124-5.

Abstract

BACKGROUND

Nursing home residents commonly experience poor sleep conditions. However, few studies have explored the potential sleep patterns among nursing home residents. This study aimed to identify the sleep patterns in nursing home residents, compare residents' characteristics across sleep patterns, and examine the relationships between sleep patterns and residents' mental health (i.e., depressive and anxiety symptoms).

METHODS

This cross-sectional study was conducted in 27 nursing homes in Jinan, China, from March to June 2018. In total, 353 participants were recruited via convenience sampling, and of which, 326 completed the survey. A latent profile analysis was performed to identify sleep patterns based on the seven dimensions of the Pittsburgh Sleep Quality Index. Bivariate analyses were conducted to compare residents' characteristics among the sleep patterns. Mixed-effects logistic regression analyses were adopted to investigate the relationships between sleep patterns and residents' mental health.

RESULTS

Three sleep patterns were identified, including 'good sleepers', 'poor sleepers without hypnotic use', and 'poor sleepers with hypnotic use'. Residents' gender, education, pain, instrumental activities of daily living, and number of chronic conditions were significantly differentiated across the sleep patterns. Compared with 'good sleepers', 'poor sleepers without hypnotic use' were significantly associated with more depressive symptoms (OR = 3.73, 95% CI = 2.09, 6.65, p < 0.001), but not with anxiety symptoms (OR = 2.04, 95% CI = 0.97, 4.29, p = 0.062); whereas 'poor sleepers with hypnotic use' had significantly more depressive (OR = 5.24, 95% CI = 2.54, 10.79, p < 0.001) and anxiety symptoms (OR = 5.02, 95% CI = 2.13, 11.83, p < 0.001).

CONCLUSIONS

This study reveals three distinct sleep patterns in nursing home residents and their significant associations with residents' mental health. These findings can inform future research to develop appropriate and tailored intervention strategies for improving sleep and promoting mental health for nursing home residents.

摘要

背景

养老院居民普遍存在睡眠质量差的问题。然而,很少有研究探讨养老院居民的潜在睡眠模式。本研究旨在确定养老院居民的睡眠模式,比较不同睡眠模式下居民的特征,并研究睡眠模式与居民心理健康(即抑郁和焦虑症状)之间的关系。

方法

这是一项在中国济南的 27 家养老院中进行的横断面研究,于 2018 年 3 月至 6 月期间采用便利抽样法招募了 353 名参与者,其中 326 名完成了调查。基于匹兹堡睡眠质量指数的七个维度,采用潜在剖面分析确定睡眠模式。采用二变量分析比较不同睡眠模式下居民的特征。采用混合效应逻辑回归分析研究睡眠模式与居民心理健康之间的关系。

结果

确定了三种睡眠模式,包括“睡眠良好者”、“无催眠药物使用的睡眠差者”和“使用催眠药物的睡眠差者”。居民的性别、教育程度、疼痛、日常生活活动工具性能力和慢性疾病数量在睡眠模式之间存在显著差异。与“睡眠良好者”相比,“无催眠药物使用的睡眠差者”与更多的抑郁症状显著相关(OR=3.73,95%CI=2.09,6.65,p<0.001),但与焦虑症状无关(OR=2.04,95%CI=0.97,4.29,p=0.062);而“使用催眠药物的睡眠差者”则具有更显著的抑郁(OR=5.24,95%CI=2.54,10.79,p<0.001)和焦虑症状(OR=5.02,95%CI=2.13,11.83,p<0.001)。

结论

本研究揭示了养老院居民三种不同的睡眠模式及其与居民心理健康的显著关联。这些发现可以为未来的研究提供信息,以便为养老院居民开发改善睡眠和促进心理健康的适当和定制的干预策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f367/10401828/0ffd4e6cfb0e/12877_2023_4124_Fig1_HTML.jpg

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