74 Neurobehavioral Symptoms of Dementia as a Risk Factor for Poor Caregiver Sleep Quality

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Rylea M Ranum, Andrew M Kiselica, Kimberly O’Leary
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引用次数: 0

Abstract

Objective:Caregivers to persons with dementia (PWD) consistently report lower sleep quality than non-caregiving controls. Low sleep quality, in addition to being unhealthy for the caregiver, may also impact the quality of care provided to the PWD. One factor that may contribute to poor sleep among caregivers is neurobehavioral symptoms (NBS) of the PWD. NBS, such as mood changes, lack of motivation, and disinhibition, are consistently rated as some of the most distressing symptoms by caregivers. Furthermore, they can include some symptoms related to sleep, such as nighttime wandering and REM sleep behaviors. Prior correlational research indicates a very strong association between NBS of the PWD and sleep quality of the caregiver. However, there are third variables, particularly demographics of the caregiver, which may better explain this relationship. When these variables are controlled in research, findings on the association between PWD NBS and caregiver sleep quality are mixed. Thus, we sought to investigate the relation between PWD NBS and caregiver sleep quality while controlling for caregiver demographics.Participants and Methods:Fifty caregivers to PWD completed a survey containing the Mild Behavioral Impairment Checklist as a measure of PWD NBS, the Pittsburgh Sleep Quality Index as a measure of caregiver sleep quality, and caregiver demographics. The relationship between PWD NBS and caregiver sleep quality was assessed using hierarchical linear regression. First, we examined the relationship between caregiver demographics (age, gender, income) and caregiver sleep quality. Second, we added NBS to the model to assess for incremental predictive utility by examining change in R2.Results:A significant correlation was found between PWD NBS and caregiver sleep quality, with higher PWD NBS associated with worse caregiver sleep quality (r(48) = .34, p = .014). A hierarchal regression found that caregiver demographics explained a non-significant proportion of variance in reported caregiver sleep quality (F(3, 44) = 1.05, p = .382, R2 = .07). When PWD NBS was added in model two, there was a significant change in variance explained in the overall model (F(1,43) = 2.65, p = .046, AR2 = .13, R2 = .20). Across both models, PWD NBS was the only variable significantly associated with caregiver sleep quality (B = .08, p = .011).Conclusions:In line with previous studies, these results indicate a moderate relationship between PWD NBS and caregiver sleep quality. Furthermore, findings suggested that PWD NBS is a risk factor for poor caregiver sleep quality, above and beyond caregiver demographic characteristics. Individuals designing interventions aimed at improving caregiver sleep quality should consider including PWD NBS as an intervention target. Future research should replicate these findings in a longitudinal sample to further evaluate causality.
74 痴呆症的神经行为症状是护理人员睡眠质量差的风险因素之一
目标:痴呆症患者(PWD)的护理人员报告的睡眠质量一直低于非护理人员。低睡眠质量除了对照顾者不利外,还可能影响为痴呆症患者提供的护理质量。导致护理人员睡眠质量低下的一个因素可能是残疾人的神经行为症状(NBS)。情绪变化、缺乏动力和抑制等神经行为症状一直被护理人员评为最令人痛苦的症状。此外,它们还包括一些与睡眠有关的症状,如夜间徘徊和快速眼动睡眠行为。先前的相关研究表明,残疾人的 NBS 与照顾者的睡眠质量之间存在着非常密切的联系。然而,还有第三个变量,尤其是照顾者的人口统计学特征,可以更好地解释这种关系。如果在研究中对这些变量加以控制,关于残疾人睡眠质量与护理者睡眠质量之间关系的研究结果就会好坏参半。因此,我们试图在控制照顾者人口统计学因素的情况下,调查残疾人NBS与照顾者睡眠质量之间的关系。参与者和方法:50名残疾人照顾者完成了一项调查,调查内容包括轻度行为障碍检查表(作为残疾人NBS的测量指标)、匹兹堡睡眠质量指数(作为照顾者睡眠质量的测量指标)和照顾者人口统计学因素。我们使用层次线性回归法评估了残疾人 NBS 与护理人员睡眠质量之间的关系。首先,我们研究了护理人员人口统计学特征(年龄、性别、收入)与护理人员睡眠质量之间的关系。其次,我们在模型中加入了NBS,通过检查R2的变化来评估增量预测效用。结果:发现残疾人NBS与护理者睡眠质量之间存在显著相关性,残疾人NBS越高,护理者睡眠质量越差(r(48) = .34, p = .014)。分层回归发现,护理者人口统计学解释了所报告的护理者睡眠质量变异的非显著部分(F(3, 44) = 1.05, p = .382, R2 = .07)。在模型二中加入 PWD NBS 后,整个模型解释的方差发生了显著变化(F(1,43) = 2.65, p = .046, AR2 = .13, R2 = .20)。结论:与之前的研究结果一致,这些结果表明,残疾人睡眠质量与护理者睡眠质量之间的关系适中。此外,研究结果表明,除了护理人员的人口统计学特征外,残疾人NBS也是导致护理人员睡眠质量差的一个风险因素。在设计旨在改善护理者睡眠质量的干预措施时,应考虑将残疾人营养不良状况作为干预目标。未来的研究应在纵向样本中重复这些发现,以进一步评估因果关系。
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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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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