功能性锻炼诱导甲组大学生蝶泳运动员肌肉氧饱和度的适应性变化:随机对照试验

IF 2.6 3区 工程技术 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jack Grotke, Austin Alcantara, Joe Amitrano, Dhruv R. Seshadri
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引用次数: 0

摘要

本研究调查了为期五周的功能锻炼干预的影响,该干预旨在增强肩部后部肌肉的耐力,从而减轻肩部疲劳和过度使用损伤。研究人员招募了 12 名一级大学蝶泳运动员,并将他们平均随机分为锻炼组(EX)和对照组(CTRL)。每周进行 100 码蝶泳冲刺,并使用可穿戴式近红外光谱仪(NIRS)持续监测肌肉氧饱和度(SmO2)。这项研究是首批利用可穿戴近红外光谱设备监测游泳时水下 SmO2 的研究之一,结果表明,与 CTRL 组相比,EX 组的肩关节后耐力测试 (PSET) 分数提高,SmO2 适应性明显增强,这表明为期 5 周的针对性锻炼计划能显著提高肩关节后耐力。这些研究结果表明,有针对性的旱地锻炼可以增强肩关节后部耐力,对降低受伤风险和提高运动成绩具有长远意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional Exercise Induces Adaptations in Muscle Oxygen Saturation in Division One Collegiate Butterfly Swimmers: A Randomized Controlled Trial
This study investigates the impact of a five-week functional exercise intervention designed to enhance the muscular endurance of the posterior shoulder musculature, aiming to mitigate shoulder fatigue and overuse injury. Twelve Division I collegiate butterfly swimmers were recruited and evenly randomized into exercise (EX) and control (CTRL) groups. Weekly 100-yard butterfly sprints were performed, with Muscle Oxygen Saturation (SmO2) continuously monitored using a wearable near-infrared spectroscopy (NIRS) device. This study is among the first to utilize wearable NIRS devices to monitor SmO2 underwater during swimming, demonstrating that a targeted 5-week exercise program significantly improves posterior shoulder endurance, as evidenced by increased Posterior Shoulder Endurance Test (PSET) scores and distinctive SmO2 adaptations in the EX-group compared to the CTRL group. These findings suggest that targeted dryland exercises can enhance posterior shoulder endurance with long-term implications for potentially reducing injury risk and improving performance.
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来源期刊
Electronics
Electronics Computer Science-Computer Networks and Communications
CiteScore
1.10
自引率
10.30%
发文量
3515
审稿时长
16.71 days
期刊介绍: Electronics (ISSN 2079-9292; CODEN: ELECGJ) is an international, open access journal on the science of electronics and its applications published quarterly online by MDPI.
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