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认知障碍会影响阿尔茨海默病患者照料者的负担吗?

Does cognitive impairment influence burden in caregivers of patients with Alzheimer's disease?

作者信息

Germain Sophie, Adam Stéphane, Olivier Catherine, Cash Helen, Ousset Pierre Jean, Andrieu Sandrine, Vellas Bruno, Meulemans Thierry, Reynish Emma, Salmon Eric

机构信息

Unité de Neuropsychologie, Département des Sciences cognitives, Université de Liège, Liège, Belgium.

出版信息

J Alzheimers Dis. 2009;17(1):105-14. doi: 10.3233/JAD-2009-1016.

Abstract

Alzheimer's disease (AD) is characterized by a progressive deterioration of various cognitive and behavioral abilities, and it also has a health impact on the patients' caregiver. Our aim was to determine the patient (and to a lesser extent the caregiver) characteristics that contribute most to the caregiver burden. We used the baseline data from the ICTUS study, a European longitudinal cohort of patients with mild to moderate AD. Data from 1091 patients and their caregivers was used for analysis. Three principal components analyses were performed on variables from the domains of cognition, neuropsychiatric symptoms, and daily function using the MMSE plus the ADAS-Cog, NPI, and IADL subscores, respectively. These were followed by a stepwise logistic regression to identify patient characteristics which best predict caregiver burden. The regression model (R2 = 0.35, p < 0.001) shows that the best explanatory variables are: 1) neuropsychiatric symptoms (NPI); 2) difficulties in the IADL; 3) time taken by caregiving; 4) demographic variables such as caregiver's age and patient sex; and 5) severity of cognitive impairment. In conclusion, our results demonstrate that although the strongest determinant of the caregiver burden is behavioral disturbance, the impact of the degree of cognitive impairment on burden is also significant.

摘要

阿尔茨海默病(AD)的特征是各种认知和行为能力逐渐衰退,并且它也会对患者的照料者的健康产生影响。我们的目的是确定对照料者负担影响最大的患者(以及在较小程度上照料者)特征。我们使用了ICTUS研究的基线数据,这是一项针对轻度至中度AD患者的欧洲纵向队列研究。来自1091名患者及其照料者的数据用于分析。分别使用简易精神状态检查表(MMSE)加上阿尔茨海默病协作研究认知量表(ADAS - Cog)、神经精神症状问卷(NPI)和日常生活活动能力量表(IADL)子分数,对认知、神经精神症状和日常功能领域的变量进行了三次主成分分析。随后进行逐步逻辑回归,以确定最能预测照料者负担的患者特征。回归模型(R2 = 0.35,p < 0.001)表明,最佳解释变量为:1)神经精神症状(NPI);2)IADL方面的困难;3)照料所需时间;4)人口统计学变量,如照料者年龄和患者性别;5)认知障碍的严重程度。总之,我们的结果表明,尽管照料者负担的最强决定因素是行为障碍,但认知障碍程度对负担的影响也很显著。

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