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跌倒风险评估(FRA)系统介绍及社区居住老年人的横断面验证

Introduction of Fall Risk Assessment (FRA) System and Cross-Sectional Validation Among Community-Dwelling Older Adults.

作者信息

Park Woo-Chul, Kim Miji, Kim Sunyoung, Yoo Jinho, Kim Byung Sung, Chon Jinmann, Jeong Su Jin, Won Chang Won

机构信息

Department of Family Medicine, Kyung Hee University Medical Center, Seoul, Korea.

Department of Biomedical Science and Technology, Graduate School of Kyung Hee University, Seoul, Korea.

出版信息

Ann Rehabil Med. 2019 Feb;43(1):87-95. doi: 10.5535/arm.2019.43.1.87. Epub 2019 Feb 28.

Abstract

OBJECTIVE

To predict the risk of falls, Fall Risk Assessment (FRA) system has been newly developed to measure multi-systemic balance control among community-dwelling older adults. The aim of this study was to examine the association between FRA and fall-related physical performance tests.

METHODS

A total of 289 community-dwelling adults aged 65 years and older participated in this cross-sectional study. All participants underwent FRA test and physical performance tests such as Short Physical Performance Battery (SPPB), Berg Balance Scale (BBS), and Timed Up and Go Test (TUG).

RESULTS

Participants who were younger, male, highly educated, living with family members, having high body mass index, having high appendicular lean mass index, and having no irritative lower urinary tract syndrome were more likely to have higher FRA scores. SPPB (β=1.012), BBS (β=0.481), and TUG (β=-0.831) were significantly associated with FRA score after adjusting for the variables (all p<0.001).

CONCLUSION

FRA composite score was closely correlated with SPPB, BBS, and TUG, suggesting that FRA is a promising candidate as a screening tool to predict falls among community-dwelling elderly people.

摘要

目的

为预测跌倒风险,新开发了跌倒风险评估(FRA)系统,以测量社区居住老年人的多系统平衡控制能力。本研究旨在探讨FRA与跌倒相关身体功能测试之间的关联。

方法

共有289名65岁及以上社区居住成年人参与了这项横断面研究。所有参与者均接受了FRA测试以及身体功能测试,如简短身体功能测试(SPPB)、伯格平衡量表(BBS)和计时起立行走测试(TUG)。

结果

年龄较小、男性、受教育程度高、与家庭成员同住、身体质量指数高、四肢瘦体重指数高且无刺激性下尿路综合征的参与者更有可能获得较高的FRA分数。在对变量进行调整后,SPPB(β=1.012)、BBS(β=0.481)和TUG(β=-0.831)与FRA分数显著相关(所有p<0.001)。

结论

FRA综合评分与SPPB、BBS和TUG密切相关,这表明FRA作为预测社区居住老年人跌倒的筛查工具具有很大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/992c/6409653/67df7d15a1c0/arm-2019-43-1-87f1.jpg

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