Use of Clinical and Impairment-Based Tests to Predict Falls by Community-Dwelling Older Adults

Author:

Boulgarides Lois K1,McGinty Susan M2,Willett Jayne A3,Barnes Carole W4

Affiliation:

1. LK Boulgarides, PT, MS, is Lecturer, Kinesiology and Health Science Department, California State University, Sacramento, 6000 J St, Sacramento, CA 95819-6073 (USA), and Faculty Director, CSUS LIFE Center for Senior Fitness and Wellness.

2. SM McGinty, PT, EdD, is Chair, Department of Physical Therapy, California State University, Sacramento

3. JA Willett, PhD, ATC, is Associate Professor, Kinesiology and Health Science Department, California State University, Sacramento

4. CW Barnes, PhD, is Professor, Department of Sociology, California State University, Sacramento, and Director, CSUS Institute for Social Research

Abstract

Abstract Background and Purpose. Few tests have been found to be strongly predictive of falls in community-dwelling older adults. The purpose of this study was to determine whether data from 5 balance tests—combined with data regarding fall history, number of medications, dizziness, visual problems, use of an assistive device, physical activity level, sex, and age—could predict falls in community-dwelling older adults who were independent. Subjects. Ninety-nine community-dwelling older adults aged 65 to 90 years (X̄= 74.02, SD=5.64) were tested. Methods. Subjects were tracked for falls over a 1-year period following testing. Impairment-based tests, which are tests that attempt to specifically identify which sensory systems are impaired or how motor control is impaired (eg, speed, accuracy of movement), were the Modified Clinical Tests of Sensory Interaction for Balance (Modified CTSIB) and the 100% Limits of Stability Test, both of which were done on the Balance Master 6.1. Performance-based tests, which are functional tests that identify functional limitations without necessarily identifying their causes, were the Berg Balance Scale, the Timed “Up & Go” Test, and the Dynamic Gait Index. Demographic and health data included age, sex, number of medications, physical activity level, presence of dizziness, vision problems, and history of falls over the previous year. Logistic regression was used to determine which combinations of data from balance tests, demographics, and health factors were predictive of falls. Results. Two models—(1) the “standing on a firm surface with eyes closed” (FEC) condition of the Modified CTSIB and (2) the FEC combined with age and sex—were predictive of falls, but predicted only 1 and 2 subjects who were at risk for falling, respectively, out of 20 people who were at risk for falling. Discussion and Conclusion. Five balance tests combined with health and demographic factors did not predict falls in a sample of community-dwelling older adults who were active and independent.

Publisher

Oxford University Press (OUP)

Subject

Physical Therapy, Sports Therapy and Rehabilitation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3