The Cross-Sectional Association Between Multimorbidity and Sleep Quality and Duration Among the Elderly Community Dwellers in Northwest China.

IF 3 2区医学 Q2 CLINICAL NEUROLOGY Nature and Science of Sleep Pub Date : 2024-12-25 eCollection Date: 2024-01-01 DOI:10.2147/NSS.S497036

Qiaolifanayi Nuermaimaiti, Mulalibieke Heizhati, Qin Luo, Nanfang Li, Lin Gan, Ling Yao, Wenbo Yang, Mei Li, Xiufang Li, Xiayire Aierken, Jing Hong, Hui Wang, Miaomiao Liu, Adalaiti Maitituersun, Aketilieke Nusufujiang, Li Cai

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Abstract

Background: Multimorbidity, defined as the coexistence of two or more chronic diseases, is highly prevalent among the elderly population and is associated with adverse outcomes. However, little is known about its relationship with sleep issues, particularly in this demographic. Therefore, this study aimed to investigate its association with sleep quality and duration among the elderly.

Methods: This cross-sectional study was conducted in Emin County, Xinjiang, China, which included a population aged 60 years and above. We employed the Pittsburgh Sleep Quality Index (PSQI) score to assess sleep quality and duration. Multimorbidity was determined through self-reports, physical examination, blood tests, and imaging. Logistic regression analyses were used to explore the association between multimorbidity and sleep patterns, adjusting for confounders.

Results: A total of 8205 elderly participants were included, of whom 66.8% suffered from multimorbidity. Participants with multimorbidity exhibited higher total PSQI scores [6 (3,9)], and a higher percentage of poor sleep quality (50.6%), compared to those without multimorbidity. Multimorbidity was significantly associated with the presence of poor sleep quality (OR = 1.27, 95% CI: 1.14-1.41, P < 0.001) before and after adjusting for confounders. The risk of having poor sleep quality significantly increased as the number of multimorbidities increased. The OR (95% CI) values were 1.16 (1.02,1.32) for two diseases, 1.54 (1.26,1.90) for ≥5 diseases. In the adjusted model for total participants, having four diseases (OR = 1.26, 95% CI: 1.05-1.51, p = 0.013) and five or more diseases (OR = 1.29, 95% CI: 1.03-1.61, p = 0.029) were associated with shorter sleep duration. Furthermore, those with five or more diseases associated with longer sleep duration (OR = 1.40, 95% CI: 1.00-1.95, p = 0.057).

Conclusion: There is a significant association between multimorbidity and poor sleep quality in older community dwellers, which may provide clues for disease prevention.

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西北地区老年社区居民多病与睡眠质量和持续时间的横断面关系

背景：多病，定义为两种或两种以上慢性疾病的共存，在老年人群中非常普遍，并与不良后果相关。然而，人们对其与睡眠问题的关系知之甚少，尤其是在这一人群中。因此，本研究旨在探讨其与老年人睡眠质量和持续时间的关系。方法：横断面研究在中国新疆额民县进行，其中包括60岁及以上的人口。我们采用匹兹堡睡眠质量指数（PSQI）评分来评估睡眠质量和持续时间。通过自我报告、体格检查、血液检查和影像学检查确定多病性。采用逻辑回归分析探讨多病与睡眠模式之间的关系，并对混杂因素进行调整。结果：共纳入8205名老年受试者，其中66.8%患有多病。与没有多重疾病的参与者相比，多重疾病的参与者表现出更高的PSQI总分[6(3,9)]，以及更高的睡眠质量差百分比（50.6%）。校正混杂因素前后，多发病与睡眠质量差显著相关（OR = 1.27, 95% CI: 1.14-1.41, P < 0.001）。随着多重疾病数量的增加，睡眠质量差的风险也显著增加。2种疾病的OR （95% CI）值为1.16(1.02,1.32)，≥5种疾病的OR （95% CI）值为1.54（1.26,1.90）。在调整后的总参与者模型中，患有四种疾病（OR = 1.26, 95% CI: 1.05-1.51, p = 0.013）和五种或五种以上疾病（OR = 1.29, 95% CI: 1.03-1.61, p = 0.029）与较短的睡眠时间相关。此外，患有五种或五种以上疾病的人睡眠时间更长（or = 1.40, 95% CI: 1.00-1.95, p = 0.057）。结论：老年社区居民多病与睡眠质量差存在显著相关性，可为疾病预防提供线索。

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来源期刊

Nature and Science of Sleep Neuroscience-Behavioral Neuroscience

CiteScore

5.70

自引率

5.90%

发文量

245

审稿时长

16 weeks

期刊介绍： Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep. Specific topics covered in the journal include: The functions of sleep in humans and other animals Physiological and neurophysiological changes with sleep The genetics of sleep and sleep differences The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness Sleep changes with development and with age Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause) The science and nature of dreams Sleep disorders Impact of sleep and sleep disorders on health, daytime function and quality of life Sleep problems secondary to clinical disorders Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health) The microbiome and sleep Chronotherapy Impact of circadian rhythms on sleep, physiology, cognition and health Mechanisms controlling circadian rhythms, centrally and peripherally Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms Epigenetic markers of sleep or circadian disruption.