Evaluation of Sleep Quality by Actigraphy in Women with Systemic Lupus Erythematosus (SLE)

Lílian Kcr, K. Cristiane, Branca Dbs, Marco Tm, Virgínia Fmt
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Abstract

Despite the small number of studies about sleep quality and its possible occurrence in SLE, it is a frequent complaint among patients. This study evaluated sleep quality using actigraphy and the Pittsburgh sleep quality index (PSQI) in 46 women with SLE and the relationship between disease activity, cumulative damage, quality of life, pain intensity, fatigue, and medication to treat the disease, as well as the influence of pain intensity (subgroups) on quality of life. The short-form 36 health survey (SF-36) assessed health related quality of life (HRQoL), the fatigue severity scale (FSS) assessed fatigue, and the visual analog scale (VAS) was used to evaluate pain intensity. The significance level was 5%. Objective and subjective measures were concordant in sleep latency. Univariate logistic regression analysis was performed using categorized VAS pain as a dependent variable, we found an association with sleep latency (actigraphy), PSQI global score, six components of the SF-36 (physical functioning, role physical or role limitations due to physical problems, bodily pain, vitality, social functioning, role emotional or role limitations due to emotional problems), and fatigue. In the final analyses, using multivariate logistic regression, the model showed that the predicting variables for HPG (high pain group) and LPG (low pain group) were sleep latency and fatigue. Perhaps we did not find associations between sleep and quality of life as other factors were more relevant, such as pain and fatigue.
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活动描记法评价女性系统性红斑狼疮(SLE)患者睡眠质量
尽管关于睡眠质量及其在系统性红斑狼疮中可能发生的研究数量很少,但它是患者中常见的主诉。本研究使用活动描记术和匹兹堡睡眠质量指数(PSQI)评估了46名SLE女性的睡眠质量,以及疾病活动性、累积损伤、生活质量、疼痛强度、疲劳和治疗药物之间的关系,以及疼痛强度(亚组)对生活质量的影响。简短的36项健康调查(SF-36)评估了健康相关的生活质量(HRQoL),疲劳严重程度量表(FSS)评估了疲劳,视觉模拟量表(VAS)用于评估疼痛强度。显著性水平为5%。客观和主观测量在睡眠潜伏期方面是一致的。使用分类的VAS疼痛作为因变量进行单变量逻辑回归分析,我们发现它与睡眠潜伏期(活动描记术)、PSQI总体评分、SF-36的六个组成部分(身体功能、由于身体问题引起的角色-身体或角色限制、身体疼痛、活力、社会功能、,以及疲劳。在最后的分析中,使用多变量逻辑回归,模型显示HPG(高疼痛组)和LPG(低疼痛组)的预测变量是睡眠潜伏期和疲劳。也许我们没有发现睡眠和生活质量之间的联系,因为其他因素更相关,比如疼痛和疲劳。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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