通过综合体能测试预测社区老年人的肌肉疏松症。

IF 3.4 2区 医学 Q2 GERIATRICS & GERONTOLOGY
Wang-Sheng Lin, Nai-Wei Hsu, Shung-Haur Yang, Yu-Ting Chen, Chih-Chun Tsai, Po-Jung Pan
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引用次数: 0

摘要

背景:肌肉疏松症通常通过手部握力、行走速度和椅子站立测试进行评估。然而,对于社区老年人的其他体能(PF)指标却研究不足。因此,在本研究中,我们探讨了影响社区老年人肌少症风险的因素。此外,我们还分析了患有或不患有肌肉疏松症的老年人的临床人口学特征,并研究了性别对其体能的影响:这项横断面研究纳入了来自台湾一个社区健康促进项目的 745 名老年人。方法:这项横断面研究纳入了来自台湾一个社区健康促进项目的 745 名老年人,记录了他们的临床人口学特征。方法:这项横断面研究纳入了 745 名来自台湾社区健康促进项目的老年人,记录了他们的临床人口学特征,并通过各种测试评估了 PF,如手部握力评估、8 英尺站立行走测试(8-UGT)、2 分钟台阶测试和 6 米步行测试。比较了患有肌肉疏松症的老年人(肌肉疏松症组)和未患有肌肉疏松症的老年人(非肌肉疏松症组)的肌力和影响肌肉疏松症风险的因素。采用逻辑回归模型来确定与肌肉疏松症相关的关键因素。通过计算接收者操作特征曲线(ROC)下的面积来评估其预测性能:不分性别,肌肉疏松症组在几乎所有的PF指标上的表现都比非肌肉疏松症组差,例如上下肢肌肉力量和耐力、心肺功能和平衡能力。然而,就男性而言,在柔韧性方面没有观察到明显的组间差异。逻辑回归模型显示,年龄(几率比[OR]:1.107)、性别(OR:2.881)、迷你营养评估-短表得分(OR:0.690)和 8-UGT(OR:1.346)是影响肌肉疏松症风险的因素。曲线下面积值为 0.867(95% 置信区间:0.827-0.906;P 结论:该模型在预测肌肉疏松症方面表现出卓越的鉴别能力:无论性别如何,未患肌肉疏松症的老年人在几乎所有 PF 指标上都优于患肌肉疏松症的老年人。年龄大、性别为男性、迷你营养评估短表得分低、8-UGT表现差与肌肉疏松症的高风险有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting sarcopenia in community-dwelling older adults through comprehensive physical fitness tests.

Background: Sarcopenia is typically assessed through hand grip strength, walking speed, and chair stand tests. However, it has been inadequately examined in terms of other physical fitness (PF) components in community-dwelling older adults. Thus, in this study, we explored factors influencing the risk of sarcopenia in community-dwelling older adults. In addition, we analyzed the clinicodemographic characteristics of older adults with or without sarcopenia and investigated the effect of sex on their PF.

Methods: This cross-sectional study included 745 older adults from a community health promotion program in Taiwan. Their clinicodemographic characteristics were recorded. PF was assessed through various tests, such as hand grip strength evaluation, 8-foot up-and-go test (8-UGT), 2-min step test, and 6-m walk test. PF and factors influencing sarcopenia risk were compared between older adults with sarcopenia (sarcopenia group) and those without it (nonsarcopenia group). A logistic regression model was performed to identify key factors associated with sarcopenia. Its predictive performance was evaluated by calculating the area under the receiver operating characteristic curve (ROC) curve.

Results: Regardless of sex, the sarcopenia group performed worse in almost all components of PF-for example, upper and lower limb muscular strength and endurance, cardiopulmonary fitness, and balance-than did the nonsarcopenia group. However, for men, no significant between-group difference was observed in flexibility. The logistic regression model indicated age (odds ratio [OR]: 1.107), sex (OR: 2.881), Mini Nutritional Assessment-Short Form scores (OR: 0.690), and performance in 8-UGT (OR: 1.346) as factors influencing the risk of sarcopenia. The model exhibited excellent discriminative ability in predicting sarcopenia, as indicated by an area under the curve value of 0.867 (95% confidence interval: 0.827-0.906; p < 0.05).

Conclusion: Older adults without sarcopenia tend to outperform those with sarcopenia in almost all PF measures, regardless of sex. Older age, male sex, low Mini Nutritional Assessment-Short Form scores, and poor performance in 8-UGT are associated with a high risk of sarcopenia.

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来源期刊
BMC Geriatrics
BMC Geriatrics GERIATRICS & GERONTOLOGY-
CiteScore
5.70
自引率
7.30%
发文量
873
审稿时长
20 weeks
期刊介绍: BMC Geriatrics is an open access journal publishing original peer-reviewed research articles in all aspects of the health and healthcare of older people, including the effects of healthcare systems and policies. The journal also welcomes research focused on the aging process, including cellular, genetic, and physiological processes and cognitive modifications.
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