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有老年护理服务需求的社区居住成年人的肌少症功能(Sarc-F)与肌肉功能:基线与训练后关系

Sarc-F and muscle function in community dwelling adults with aged care service needs: baseline and post-training relationship.

作者信息

Keogh Justin W L, Henwood Tim, Gardiner Paul A, Tuckett Anthony G, Hetherington Sharon, Rouse Kevin, Swinton Paul

机构信息

Faculty of Health Sciences and Medicine, Bond University, Robina, Queensland, Australia.

Human Potential Centre, Auckland University of Technology, Auckland, New Zealand.

出版信息

PeerJ. 2019 Nov 27;7:e8140. doi: 10.7717/peerj.8140. eCollection 2019.

DOI:10.7717/peerj.8140
PMID:31799080
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6884990/
Abstract

BACKGROUND

This study sought to better understand the psychometric properties of the SARC-F, by examining the baseline and training-related relationships between the five SARC-F items and objective measures of muscle function. Each of the five items of the SARC-F are scored from 0 to 2, with total score of four or more indicative of likely sarcopenia.

METHODS

This manuscript describes a sub-study of a larger step-wedge, randomised controlled 24-week progressive resistance and balance training (PRBT) program trial for Australian community dwelling older adults accessing government supported aged care. Muscle function was assessed using handgrip strength, isometric knee extension, 5-time repeated chair stand and walking speed over 4 m. Associations within and between SARC-F categories and muscle function were assessed using multiple correspondence analysis (MCA) and multinomial regression, respectively.

RESULTS

Significant associations were identified at baseline between SARC-F total score and measures of lower-body muscle function ( =  - 0.62 to 0.57;  ≤ 0.002) in 245 older adults. MCA analysis indicated the first three dimensions of the SARC-F data explained 48.5% of the cumulative variance. The initial dimension represented overall sarcopenia diagnosis, Dimension 2 the ability to displace the body vertically, and Dimension 3 walking ability and falls status. The majority of the 168 older adults who completed the PRBT program reported no change in their SARC-F diagnosis or individual item scores (56.5-79.2%). However, significant associations were obtained between training-related changes in SARC-F total and item scores and changes in walking speed and chair stand test performance ( =  - 0.30 to 0.33;  < 0.001 and relative risk ratio = 0.40-2.24;  < 0.05, respectively). MCA analysis of the change score data indicated that the first two dimensions explained 32.2% of the cumulative variance, with these dimensions representing whether a change occurred and the direction of change, respectively.

DISCUSSION

The results advance our comprehension of the psychometric properties on the SARC-F, particularly its potential use in assessing changes in muscle function. Older adults' perception of their baseline and training-related changes in their function, as self-reported by the SARC-F, closely matched objectively measured muscle function tests. This is important as there may be a lack of concordance between self-reported and clinician-measured assessments of older adults' muscle function. However, the SARC-F has a relative lack of sensitivity to detecting training-related changes, even over a period of 24 weeks.

CONCLUSIONS

Results of this study may provide clinicians and researchers a greater understanding of how they may use the SARC-F and its potential limitations. Future studies may wish to further examine the SARC-F's sensitivity of change, perhaps by adding a few additional items or an additional category of performance to each item.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5458/6884990/a13b73517898/peerj-07-8140-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5458/6884990/0eeb38dab78e/peerj-07-8140-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5458/6884990/803ea2b332e2/peerj-07-8140-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5458/6884990/5ffa193dedfb/peerj-07-8140-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5458/6884990/a13b73517898/peerj-07-8140-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5458/6884990/0eeb38dab78e/peerj-07-8140-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5458/6884990/803ea2b332e2/peerj-07-8140-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5458/6884990/5ffa193dedfb/peerj-07-8140-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5458/6884990/a13b73517898/peerj-07-8140-g004.jpg
摘要

背景

本研究旨在通过检查SARC-F五项内容与肌肉功能客观指标之间的基线关系和训练相关关系,更好地了解SARC-F的心理测量特性。SARC-F的五项内容每项得分从0到2,总分4分及以上表明可能存在肌肉减少症。

方法

本手稿描述了一项更大规模的阶梯式随机对照24周渐进性抗阻和平衡训练(PRBT)项目试验的子研究,该试验针对接受政府支持的老年护理服务的澳大利亚社区居住老年人。使用握力、等长膝关节伸展、5次重复坐立试验和4米步行速度评估肌肉功能。分别使用多重对应分析(MCA)和多项回归评估SARC-F类别内部和之间与肌肉功能的关联。

结果

在245名老年人中,基线时SARC-F总分与下肢肌肉功能指标之间存在显著关联(r = -0.62至0.57;P≤0.002)。MCA分析表明,SARC-F数据的前三个维度解释了48.5%的累积方差。第一个维度代表总体肌肉减少症诊断,第二个维度代表垂直移动身体的能力,第三个维度代表步行能力和跌倒状态。完成PRBT项目的168名老年人中,大多数报告其SARC-F诊断或单项得分没有变化(56.5 - 79.2%)。然而,SARC-F总分和单项得分的训练相关变化与步行速度和坐立试验表现的变化之间存在显著关联(r = -0.30至0.33;P<0.001和相对风险比 = 0.40 - 2.24;P<0.05)。对变化分数数据的MCA分析表明,前两个维度解释了32.2%的累积方差,这些维度分别代表是否发生了变化以及变化的方向。

讨论

研究结果增进了我们对SARC-F心理测量特性的理解,特别是其在评估肌肉功能变化方面的潜在用途。SARC-F自我报告所反映的老年人对其基线和训练相关功能变化的感知,与客观测量的肌肉功能测试密切匹配。这很重要,因为老年人肌肉功能的自我报告评估与临床医生测量的评估之间可能缺乏一致性。然而,即使在24周的时间内,SARC-F对检测训练相关变化的敏感性相对较低。

结论

本研究结果可能使临床医生和研究人员更好地理解如何使用SARC-F及其潜在局限性。未来的研究可能希望进一步研究SARC-F的变化敏感性,或许可以通过增加一些额外项目或为每个项目增加一个额外的表现类别来实现。

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