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超声评估肌肉成分和姿势稳定性的年龄相关性变化。

Age-related changes in ultrasound-assessed muscle composition and postural stability.

机构信息

Laboratory of Neurophysiology and Movement Biomechanics, UNI-ULB Neuroscience Institute Université libre de Bruxelles (ULB), 1070, Brussels, Belgium.

Laboratoire de Neuroanatomie et Neuroimagerie Translationnelles, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), 1070, Brussels, Belgium.

出版信息

Sci Rep. 2024 Aug 12;14(1):18688. doi: 10.1038/s41598-024-69374-8.

Abstract

While the simultaneous degradation of muscle composition and postural stability in aging are independently highly investigated due to their association with fall risk, the interplay between the two has received little attention. Thus, the purpose of this study is to explore how age-related changes in muscle composition relate to postural stability. To that aim, we collected posturography measures and ultrasound images of the dominant Vastus Lateralis and Biceps Brachii from 32 young (18-35 year old) and 34 older (65-85 year old) participants. Muscle properties were quantified with echo-intensity and texture-based metrics derived from gray-level co-occurrence matrix analysis, and postural stability with the variability of the center of pressure during bipedal stance tasks. Ultrasound parameters revealed that young muscle possessed lower echo-intensity and higher homogeneity compared to the elderly. Echo-intensity and muscle thickness, and several texture-based parameters possessed outstanding young versus older classification performance. A canonical correlation analysis demonstrated a significant relationship between ultrasound and postural measures only within the young group (r = 0.53, p < 0.002), where those with 'better' muscle composition displayed larger postural sways. Our results indicate that, in older individuals, postural stability and muscle composition, two common fall risk factors, are unrelated. In view of this decoupling, both may contribute independently to fall risk. Furthermore, our data support the view that texture-based parameters provide a robust alternative to echo-intensity in providing markers of muscle composition.

摘要

尽管肌肉成分和姿势稳定性在衰老过程中同时下降,由于它们与跌倒风险相关,因此各自受到高度关注,但两者之间的相互作用却很少受到关注。因此,本研究的目的是探讨与年龄相关的肌肉成分变化与姿势稳定性之间的关系。为此,我们收集了 32 名年轻(18-35 岁)和 34 名老年(65-85 岁)参与者的动态姿势图测量和优势股外侧肌和肱二头肌的超声图像。通过灰阶共生矩阵分析得出的回声强度和基于纹理的指标来量化肌肉特性,并通过双足站立任务期间的压力中心变异性来评估姿势稳定性。超声参数显示,与老年人相比,年轻人的肌肉回声强度较低,均匀性较高。与老年人相比,回声强度和肌肉厚度以及一些基于纹理的参数具有出色的分类性能。典型相关分析仅在年轻组中显示出超声和姿势测量之间存在显著关系(r=0.53,p<0.002),其中“更好”的肌肉成分具有更大的姿势摆动。我们的结果表明,在老年人中,姿势稳定性和肌肉成分这两个常见的跌倒风险因素之间没有关联。鉴于这种脱钩,两者都可能独立导致跌倒风险。此外,我们的数据支持基于纹理的参数提供了比回声强度更可靠的肌肉成分标志物的观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9790/11319795/78bdfb39332b/41598_2024_69374_Fig1_HTML.jpg

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