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对于患有皮症的老年人来说,自主确定序列炼计划:随机对照试验,由可解释的人工智能提供临床辅助.

Shichun He1, Meiqi Wei1, Deyu Meng1

  • 1Chinese Center of Exercise Epidemiology, Northeast Normal University, Renmin Street, Changchun, 130024, Jilin, China.

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概括

一个新的自定义序列炼计划显著改善了老年人的肌肉质量和握力,有效地逆转了sarcopenia. 这种综合方法的表现优于单一模式的炼,以改善骨肌肉健康.

关键词:
中国传统的运动习惯.进行干预运动.可解释的机器学习马尔科夫连锁是什么意思萨尔科佩尼亚是什么意思 萨尔科佩尼亚

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科学领域:

  • 老年学是一门学科.
  • 运动生理学 运动生理学
  • 麻症研究研究 麻症研究

背景情况:

  • 骨肌肉质量和力量的渐进性损失萨尔科佩尼亚严重影响老年人的健康和独立性.
  • 目前针对肉症的干预措施通常涉及单一的炼模式,具有不同程度的有效性.

研究的目的:

  • 开发和评估一种新型的自我确定序列炼计划 (SDSG),以改善和潜在地逆转老年人肉症.
  • 为了比较SDSG与传统力量训练组 (STG) 和对照组 (CG) 的有效性.

主要方法:

  • 九十四个社区居住的老年人患有皮症被随机分为三个组:SDSG,STG或CG24周.
  • 干预措施包括力量训练,炼运动和SDSG内的混合训练.
  • 测量的主要结果包括L3骨肌脂肪密度,L3骨肌脂肪面积,L3骨肌密度,L3骨肌面积,肌脂肪透,相对骨肌量指数 (RSMI) 和握力.

主要成果:

  • 在SDSG和STG参与者中观察到握力,RSMI,L3骨肌脂肪区域 (L3 SMFA) 和L3骨肌区域 (L3 SMA) 的显著改善.
  • 与STG和CG相比,SDSG在RSMI和握力方面表现出明显更大的改善.
  • 在老年人中,SDSG在逆转缩症和增强骨肌肉区域方面表现优异.

结论:

  • 自主确定序列的炼计划是有效的干预措施,可以逆转肉症并改善老年人的骨肌肉健康.
  • 这种多元组件的练习方法比单一模式的培训提供了优势,用于治疗肉症.
  • 机器学习模型,特别是堆叠模型,在预测老年人肉症逆转方面显示出可行性.