Suppr超能文献

康复环境下右半球卒中患者跌倒的预测因素。

Predictors of falls among right-hemisphere stroke patients in the rehabilitation setting.

作者信息

Rapport L J, Webster J S, Flemming K L, Lindberg J W, Godlewski M C, Brees J E, Abadee P S

机构信息

Department of Psychology, Veterans Administration Medical Center, Long Beach, CA 90822.

出版信息

Arch Phys Med Rehabil. 1993 Jun;74(6):621-6. doi: 10.1016/0003-9993(93)90160-c.

Abstract

The purpose of the study was to examine neuropsychological and general medical risk factors for falls among a high-risk patient group in an inpatient rehabilitation setting. The sample consisted of 32 nonambulatory males who had sustained a right-hemisphere stroke (R-CVA). The Fall Assessment Questionnaire (FAQ) was introduced as a measure of known risk factors for falls in an inpatient setting. Neuropsychological assessment included measures of attention, perceptual deficits, hemispatial neglect, and impulsivity. A predictive model generated using multiple regression found that the FAQ combined with a measure of behavioral impulsivity successfully predicted fall status in 78% to 81% of cases, depending upon the cutting score used (p < .003). R-CVA patients who fell were more impulsive (p < .001) and received higher FAQ scores (p < .001). Perceptual deficit as measured by the Rey-Osterreith Complex Figure and general inattention as measured by Digit Span (reverse) were associated with falls (p < .04); however, they did not add to the model predicting which of the R-CVA patients would fall. It was suggested that impulsivity may act as an important mediating factor in determining individual risk for fall.

摘要

本研究的目的是在住院康复环境中,对高危患者群体跌倒的神经心理学和一般医学风险因素进行检查。样本包括32名非行走男性,他们均患有右半球中风(R-CVA)。引入跌倒评估问卷(FAQ)作为衡量住院环境中已知跌倒风险因素的指标。神经心理学评估包括注意力、感知缺陷、半侧空间忽视和冲动性的测量。使用多元回归生成的预测模型发现,根据所使用的临界分数,FAQ与行为冲动性测量相结合能够成功预测78%至81%的病例的跌倒状态(p < .003)。跌倒的R-CVA患者更冲动(p < .001),且FAQ得分更高(p < .001)。用雷-奥斯特里赫复杂图形测量的感知缺陷和用数字广度(倒序)测量的一般性注意力不集中与跌倒相关(p < .04);然而,它们并未增加预测哪些R-CVA患者会跌倒的模型的预测能力。研究表明,冲动性可能是决定个体跌倒风险的重要中介因素。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验