Suppr超能文献

年龄、肥胖及药物不良反应对非卧床老年人平衡和活动能力测试分数的影响。

Influences of Age, Obesity, and Adverse Drug Effects on Balance and Mobility Testing Scores in Ambulatory Older Adults.

作者信息

Anson Eric, Thompson Elizabeth, Odle Brian L, Jeka John, Walls Zachary F, Panus Peter C

机构信息

Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University, Baltimore, School of Medicine, Maryland.

Departments of Kinesiology and Physical Therapy, Temple University, Philadelphia, Pennsylvania.

出版信息

J Geriatr Phys Ther. 2018 Oct/Dec;41(4):218-229. doi: 10.1519/JPT.0000000000000124.

Abstract

BACKGROUND AND PURPOSE

The adverse effects of drugs may influence results on tests of mobility and balance, but the drug-specific impact is not identified when using these tests. We propose that a quantitative drug index (QDI) will assist in assessing fall risk based on these tests, when combined with other fall risk variables.

METHODS

Fifty-seven community-dwelling older adults who could walk independently on a treadmill and had Mini-Mental State Examination (MMSE) scores equal to or greater than 24 participated. Mobility and balance outcome measures included the Balance Evaluation Systems Test (BESTest), Berg Balance Scale (BBS), Timed Up and Go (TUG) and cognitive dual task TUG (TUGc). Fall history, current drug list, and Activity-Specific Balance Confidence (ABC) scale scores were also collected. Body mass index (BMI) was calculated. The QDI was derived from the drug list for each individual, and based on fall-related drug adverse effects. Multiple linear regression analyses were conducted using age, BMI, and QDI as predictor variables for determining mobility and balance test scores, and ABC scale scores. Subsequently, participants were divided into (QDI = 0) low-impact drug group (LIDG) and (QDI > 0) high-impact drug group (HIDG) for Mann-Whitney 2-group comparisons.

RESULTS

Age, BMI, and QDI were all significant (P < .001) independent variables in multiple regression analyses for mobility and balance test scores, but not for the ABC scale. Separately, the 2 group comparisons for the BESTest, BBS, TUG, and TUGc demonstrated that HIDG scored significantly (P < .05) worse on these tests compared with the LIDG. Drug counts were also significantly higher for the HIDG than for the LIDG. In contrast, age, BMI, MMSE, and reported falls in the last 12 months were not significantly different between groups.

CONCLUSION

Age, BMI, and QDI-all contributed independently to the mobility and balance test scores examined, and may provide health care professionals a screening tool to determine whether additional mobility and balance testing is required. In addition, the QDI is a more precise marker of adverse effects of drugs compared with drug counts, as the latter does not quantitate the influence of drugs on physiologic function.

摘要

背景与目的

药物的不良反应可能会影响运动能力和平衡测试的结果,但在使用这些测试时,药物的具体影响尚未明确。我们提出,当与其他跌倒风险变量相结合时,定量药物指数(QDI)将有助于基于这些测试评估跌倒风险。

方法

57名能够在跑步机上独立行走且简易精神状态检查表(MMSE)得分等于或高于24分的社区居住老年人参与了研究。运动能力和平衡结果测量包括平衡评估系统测试(BESTest)、伯格平衡量表(BBS)、定时起立行走测试(TUG)以及认知双重任务TUG(TUGc)。还收集了跌倒史、当前用药清单以及特定活动平衡信心(ABC)量表得分。计算了体重指数(BMI)。QDI是根据每个个体的用药清单得出的,且基于与跌倒相关的药物不良反应。进行了多元线性回归分析,使用年龄、BMI和QDI作为预测变量来确定运动能力和平衡测试得分以及ABC量表得分。随后,将参与者分为(QDI = 0)低影响药物组(LIDG)和(QDI > 0)高影响药物组(HIDG)进行曼-惠特尼两组比较。

结果

在对运动能力和平衡测试得分的多元回归分析中,年龄、BMI和QDI均为显著(P < .001)的自变量,但对ABC量表而言并非如此。另外,对BESTest、BBS、TUG和TUGc的两组比较表明,与LIDG相比,HIDG在这些测试中的得分显著(P < .05)更低。HIDG的用药数量也显著高于LIDG。相比之下,两组之间的年龄、BMI、MMSE以及过去12个月内报告的跌倒情况并无显著差异。

结论

年龄、BMI和QDI均独立地对所检查的运动能力和平衡测试得分产生影响,并且可能为医护人员提供一种筛查工具,以确定是否需要进行额外的运动能力和平衡测试。此外,与用药数量相比,QDI是药物不良反应更精确的指标,因为后者无法量化药物对生理功能的影响。

相似文献

6
Erratum.勘误
Mult Scler. 2016 Oct;22(12):NP9-NP11. doi: 10.1177/1352458515585718. Epub 2015 Jun 3.

引用本文的文献

6
Inappropriate medications and physical function: a systematic review.不适当用药与身体功能:一项系统综述
Ther Adv Drug Saf. 2021 Jul 16;12:20420986211030371. doi: 10.1177/20420986211030371. eCollection 2021.

本文引用的文献

1
Physical factors underlying the Timed "Up and Go" test in older adults.老年人定时起立行走测试背后的物理因素。
Geriatr Nurs. 2016 Mar-Apr;37(2):122-7. doi: 10.1016/j.gerinurse.2015.11.002. Epub 2015 Dec 17.

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