Dustin J Oranchuk, Stephan G Bodkin, Katie L Boncella, Michael O Harris-Love
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Thus, we aimed to (a) synthesize the literature to assess the relationships between skeletal muscle echogenicity and physical function in older adults (≥60 years), (b) perform pooled analyses of relationships between skeletal muscle echogenicity and physical function, and (c) perform sub-analyses to determine between-muscle relationships.</p><p><strong>Methods: </strong>CINAHL, Embase, MEDLINE, PubMed, and Web of Science databases were systematically searched to identify articles relating skeletal muscle echogenicity to physical function in older adults. Risk-of-bias assessments were conducted along with funnel plot examination. Meta-analyses with and without sub-analyses for individual muscles were performed utilizing Fisher's Z transformation for the most common measures of physical function. Fisher's Z was back-transformed to Pearson's r for interpretation.</p><p><strong>Results: </strong>Fifty-one articles (n = 5095, female = ∼2759, male = ∼2301, 72.5 ± 5.8 years, mean ± SD (1 study did not provide sex descriptors)) were extracted for review, with previously unpublished data obtained from the authors of 13 studies. The rectus femoris (n = 34) and isometric knee extension strength (n = 22) were the most accessed muscle and physical qualities, respectively. The relationship between quadriceps echogenicity and knee extensor strength was moderate (n = 2924, r = -0.36 (95% confidence interval: -0.38 to -0.32), p < 0.001), with all other meta-analyses (grip strength, walking speed, sit-to-stand, timed up-and-go) resulting in slightly weaker correlations (r: -0.34 to -0.23, all p < 0.001). Sub-analyses determined minimal differences in predictive ability between muscle groups, although combining muscles (e.g., rectus femoris + vastus lateralis) often resulted in stronger correlations with maximal strength.</p><p><strong>Conclusion: </strong>While correlations are modest, the affordable, portable, and noninvasive ultrasonic assessment of muscle quality is a consistent predictor of physical function in older adults. Minimal between-muscle differences suggest that echogenicity estimates of muscle quality are systemic. Therefore, practitioners may be able to scan a single muscle to estimate full-body skeletal muscle quality/composition, while researchers should consider combining multiple muscles to strengthen the model.</p>","PeriodicalId":48897,"journal":{"name":"Journal of Sport and Health Science","volume":null,"pages":null},"PeriodicalIF":9.7000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11336328/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring the associations between skeletal muscle echogenicity and physical function in aging adults: A systematic review with meta-analyses.\",\"authors\":\"Dustin J Oranchuk, Stephan G Bodkin, Katie L Boncella, Michael O Harris-Love\",\"doi\":\"10.1016/j.jshs.2024.05.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Assessment and quantification of skeletal muscle within the aging population is vital for diagnosis, treatment, and injury/disease prevention. The clinical availability of assessing muscle quality through diagnostic ultrasound presents an opportunity to be utilized as a screening tool for function-limiting diseases. However, relationships between muscle echogenicity and clinical functional assessments require authoritative analysis. Thus, we aimed to (a) synthesize the literature to assess the relationships between skeletal muscle echogenicity and physical function in older adults (≥60 years), (b) perform pooled analyses of relationships between skeletal muscle echogenicity and physical function, and (c) perform sub-analyses to determine between-muscle relationships.</p><p><strong>Methods: </strong>CINAHL, Embase, MEDLINE, PubMed, and Web of Science databases were systematically searched to identify articles relating skeletal muscle echogenicity to physical function in older adults. Risk-of-bias assessments were conducted along with funnel plot examination. 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引用次数: 0
摘要
背景:评估和量化老龄人口的骨骼肌对于诊断、治疗和预防损伤/疾病至关重要。临床上可通过超声诊断评估肌肉质量,这为利用超声诊断作为功能限制性疾病的筛查工具提供了机会。然而,肌肉回声与临床功能评估之间的关系需要权威的分析。因此,我们的目标是:(a)综合文献以评估老年人(≥60 岁)骨骼肌回声与身体功能之间的关系;(b)对骨骼肌回声与身体功能之间的关系进行汇总分析;(c)进行子分析以确定肌肉之间的关系:对 CINAHL、Embase、MEDLINE、PubMed 和 Web of Science 数据库进行了系统检索,以确定与老年人骨骼肌回声性和身体功能有关的文章。在进行漏斗图检查的同时,还进行了偏倚风险评估。利用费舍尔 Z 变换对最常见的身体功能测量方法进行了元分析,并对单块肌肉进行了子分析或未进行子分析。费舍尔Z转换为皮尔逊r进行解释:提取了 51 篇文章(n = 5095,女性 = ∼2759,男性 = ∼2301,72.5 ± 5.8 岁,平均 ± SD(1 项研究未提供性别描述))进行审查,并从 13 项研究的作者处获得了之前未发表的数据。股直肌(34 人)和等长膝关节伸展力量(22 人)分别是获得最多的肌肉和身体素质。股四头肌回声性与膝关节伸展力量之间的关系为中等(n = 2924,r = -0.36 (95%CI: -0.38 to -0.32),p < 0.001),所有其他荟萃分析(握力、行走速度、坐立、定时起立)的相关性稍弱(r = -0.34 to -0.23,所有 p < 0.001)。子分析表明,不同肌群之间的预测能力差异极小,但组合肌肉(如股直肌+股外侧肌)往往与最大力量的相关性更强:虽然相关性不大,但经济、便携、无创的超声波肌肉质量评估是预测老年人身体功能的一致指标。肌肉之间的差异很小,这表明肌肉质量的回声估计值是系统性的。因此,从业人员可以通过扫描单块肌肉来估计全身骨骼肌质量/构成,而研究人员则应考虑结合多块肌肉来加强模型。
Exploring the associations between skeletal muscle echogenicity and physical function in aging adults: A systematic review with meta-analyses.
Background: Assessment and quantification of skeletal muscle within the aging population is vital for diagnosis, treatment, and injury/disease prevention. The clinical availability of assessing muscle quality through diagnostic ultrasound presents an opportunity to be utilized as a screening tool for function-limiting diseases. However, relationships between muscle echogenicity and clinical functional assessments require authoritative analysis. Thus, we aimed to (a) synthesize the literature to assess the relationships between skeletal muscle echogenicity and physical function in older adults (≥60 years), (b) perform pooled analyses of relationships between skeletal muscle echogenicity and physical function, and (c) perform sub-analyses to determine between-muscle relationships.
Methods: CINAHL, Embase, MEDLINE, PubMed, and Web of Science databases were systematically searched to identify articles relating skeletal muscle echogenicity to physical function in older adults. Risk-of-bias assessments were conducted along with funnel plot examination. Meta-analyses with and without sub-analyses for individual muscles were performed utilizing Fisher's Z transformation for the most common measures of physical function. Fisher's Z was back-transformed to Pearson's r for interpretation.
Results: Fifty-one articles (n = 5095, female = ∼2759, male = ∼2301, 72.5 ± 5.8 years, mean ± SD (1 study did not provide sex descriptors)) were extracted for review, with previously unpublished data obtained from the authors of 13 studies. The rectus femoris (n = 34) and isometric knee extension strength (n = 22) were the most accessed muscle and physical qualities, respectively. The relationship between quadriceps echogenicity and knee extensor strength was moderate (n = 2924, r = -0.36 (95% confidence interval: -0.38 to -0.32), p < 0.001), with all other meta-analyses (grip strength, walking speed, sit-to-stand, timed up-and-go) resulting in slightly weaker correlations (r: -0.34 to -0.23, all p < 0.001). Sub-analyses determined minimal differences in predictive ability between muscle groups, although combining muscles (e.g., rectus femoris + vastus lateralis) often resulted in stronger correlations with maximal strength.
Conclusion: While correlations are modest, the affordable, portable, and noninvasive ultrasonic assessment of muscle quality is a consistent predictor of physical function in older adults. Minimal between-muscle differences suggest that echogenicity estimates of muscle quality are systemic. Therefore, practitioners may be able to scan a single muscle to estimate full-body skeletal muscle quality/composition, while researchers should consider combining multiple muscles to strengthen the model.
期刊介绍:
The Journal of Sport and Health Science (JSHS) is an international, multidisciplinary journal that aims to advance the fields of sport, exercise, physical activity, and health sciences. Published by Elsevier B.V. on behalf of Shanghai University of Sport, JSHS is dedicated to promoting original and impactful research, as well as topical reviews, editorials, opinions, and commentary papers.
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