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秘鲁半城市地区成年人的多重疾病与睡眠模式

Multimorbidity and Sleep Patterns among Adults in a Peruvian Semi-Urban Area.

作者信息

Méndez-Flores Jhonatan J, Marroquín-Cosar Ruth E, Bernabé-Ortiz Antonio

机构信息

Universidad Científica del Sur, Facultad de Ciencias de la Salud, Lima, Lima, Peru.

出版信息

Sleep Sci. 2023 Apr 19;16(1):51-58. doi: 10.1055/s-0043-1767755. eCollection 2023 Mar.

Abstract

To assess if the duration and quality of sleep vary due to the presence of multimorbidity.  We performed a secondary analysis using data from a population-based study involving adult subjects aged between 30 and 69 years residing in a semi-urban area of Tumbes, Peru. The duration (normal, short or prolonged) and quality (good or poor) of sleep were our outcome variables, whereas the exposure was multimorbidity (two or more chronic conditions). Crude and adjusted Poisson regression models were built to assess the association of interest, and prevalence ratios (PRs) and 95% confidence intervals (95%CIs) were reported.  We analyzed data from 1,607 subjects with a mean age of 48.2 (standard deviation [SD]: ± 10.6) years, 809 (50.3%) of whom were women. Multimorbidity was present in 634 (39.5%; 95%CI: 37.1-41.9%) subjects, and 193 (12.1%; 95%CI: 10.5-13.7%) were short sleepers, 131 (8.2%; 95%CI: 6.9-9.6%) were long sleepers, and 312 (19.5%; 95%CI: 17.5-21.5%) had poor sleep quality. In the multivariable model, multimorbidity was associated with prolonged sleep duration (PR = 1.45; 95%CI: 1.03-2.04) and poor sleep quality (PR = 2.04; 95%CI: 1.65-2.52).  Multimorbidity was associated with prolonged, but not short, sleep duration, as well as with poor sleep quality. Our results suggest the need of assessing sleep patterns among adults with multimorbidity.

摘要

为评估睡眠时长和质量是否因存在多种疾病而有所不同。我们使用了一项基于人群的研究数据进行二次分析,该研究涉及居住在秘鲁通贝斯半城市地区、年龄在30至69岁之间的成年受试者。睡眠时长(正常、短或长)和质量(好或差)是我们的结局变量,而暴露因素是多种疾病(两种或更多种慢性病)。构建了粗泊松回归模型和调整泊松回归模型来评估感兴趣的关联,并报告了患病率比(PRs)和95%置信区间(95%CIs)。我们分析了1607名受试者的数据,这些受试者的平均年龄为48.2(标准差[SD]:±10.6)岁,其中809名(50.3%)为女性。634名(39.5%;95%CI:37.1 - 41.9%)受试者存在多种疾病,193名(12.1%;95%CI:10.5 - 13.7%)为睡眠短者,131名(8.2%;95%CI:6.9 - 9.6%)为睡眠长者,312名(19.5%;95%CI:17.5 - 21.5%)睡眠质量差。在多变量模型中,多种疾病与睡眠时间延长(PR = 1.45;95%CI:1.03 - 2.04)和睡眠质量差(PR = 2.04;95%CI:1.65 - 2.52)相关。多种疾病与睡眠时间延长而非缩短相关,也与睡眠质量差相关。我们的结果表明需要评估患有多种疾病的成年人的睡眠模式。

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