Bansal Symron, Hirdes John P, Maxwell Colleen J, Papaioannou Alexandra, Giangregorio Lora M
Department of Kinesiology,University of Waterloo.
School of Public Health and Health Systems,University of Waterloo.
Can J Aging. 2016 Sep;35(3):319-31. doi: 10.1017/S0714980816000325. Epub 2016 Jul 18.
Few studies have focused on falls among home care (HC) clients with neurological conditions. This study identified factors that increase risk of falling among HC clients with no recent history of falls, and explored whether risk profiles varied among those with dementia or parkinsonism compared to those without selected neurological conditions. A retrospective cohort design was used and analysis of data from community-based HC clients across Ontario was conducted on a sample of ambulatory clients with dementia, parkinsonism, or none of the selected neurological conditions. Data were obtained from the Resident Assessment Instrument for HC (RAI-HC) assessment. The outcome used in multivariable analyses was whether clients fell during follow-up. Unsteady gait was a strong predictor of falls across all three groups. Co-morbid parkinsonism most strongly predicted falls in the dementia group. Clients with borderline intact to mild cognitive impairment had higher odds of falling within the parkinsonism and comparison groups.
很少有研究关注患有神经系统疾病的家庭护理(HC)客户中的跌倒情况。本研究确定了近期无跌倒史的HC客户中增加跌倒风险的因素,并探讨了与无特定神经系统疾病的客户相比,患有痴呆症或帕金森症的客户的风险概况是否有所不同。采用回顾性队列设计,并对安大略省社区HC客户中患有痴呆症、帕金森症或无特定神经系统疾病的非卧床客户样本进行数据分析。数据来自HC居民评估工具(RAI-HC)评估。多变量分析中使用的结果是客户在随访期间是否跌倒。步态不稳是所有三组跌倒的有力预测因素。合并帕金森症最强烈地预测了痴呆症组的跌倒情况。边缘完好至轻度认知障碍的客户在帕金森症组和对照组中跌倒的几率更高。