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运动行为变化可预测跌倒并识别急性事件。

Changes in Motor Behavior Predict Falls and Identify Acute Events.

机构信息

School of Nursing, University of Delaware, Newark, DE, USA.

Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.

出版信息

West J Nurs Res. 2022 Dec;44(12):1100-1107. doi: 10.1177/01939459211031981. Epub 2021 Jul 20.

Abstract

This study aimed to examine how changes in motor behavior are associated with falls, delirium, and urinary tract infections (UTIs). Twenty-three (128 observations) skilled nursing residents were examined for up to 18 months. In multilevel models, motor behaviors (e.g., time and distance traveled, gait speed), measured by a real-time locating system, were used to predict falls, UTIs, and delirium. Falls were associated with decreased gait speed ( = 0.01;  ≤ 0.001) and path distance ( = 0.99;  ≤ 0.05); delirium was associated with increased distance traveled ( = 1.01;  ≤ 0.001), path distance ( = 1.02;  ≤ 0.001), and decreased time traveled ( = 0.99;  ≤ 0.001) and path time ( = 0.99;  ≤ 0.001); UTIs were associated with increased distance traveled ( = 1.01;  ≤ 0.001), decreased time traveled ( = 0.99;  ≤ 0.001), and the number of paths ( = 0.91;  ≤ 0.01). Subtle changes in motor behavior may be an early warning sign of falls and acute events. Continuous monitoring may enable clinical staff to prevent, identify early, and/or delay these poor health outcomes.

摘要

本研究旨在探讨运动行为的变化如何与跌倒、谵妄和尿路感染(UTI)相关。对 23 名(128 次观察)熟练护理居民进行了长达 18 个月的检查。在多层次模型中,使用实时定位系统测量的运动行为(例如,行走速度、行走时间和距离)用于预测跌倒、UTI 和谵妄。跌倒与行走速度降低( = 0.01; ≤ 0.001)和路径距离增加( = 0.99; ≤ 0.05)相关;谵妄与行走距离增加( = 1.01; ≤ 0.001)、路径距离增加( = 1.02; ≤ 0.001)、行走时间减少( = 0.99; ≤ 0.001)和路径时间减少( = 0.99; ≤ 0.001)相关;UTI 与行走距离增加( = 1.01; ≤ 0.001)、行走时间减少( = 0.99; ≤ 0.001)和路径数量增加( = 0.91; ≤ 0.01)相关。运动行为的细微变化可能是跌倒和急性事件的早期预警信号。连续监测可能使临床工作人员能够预防、及早发现和/或延迟这些不良健康结局。

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