亚特拉斯研究:在希腊人口中设计,运动表现和肌肉力量的性别特异回归模型
Natia A Pogosova1, Despoina Brekou1, Ioanna E Gavra1
1Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671, Athens, Greece.
Sports medicine and health science
|February 6, 2026
概括
这项研究研究了希腊运动员的肌肉力量表现 (MSP),发现年龄,健身和性别显著影响了结果. 基于个体因素的定制增强策略被推用于最佳的运动发展.
科学领域:
- 运动科学 运动科学 运动科学
- 人体生理学 人体生理学
- 运动科学 运动科学
背景情况:
- 亚特拉斯研究调查了影响希腊竞技运动员 (CA) 运动表现的环境和遗传因素.
- 了解肌肉力量性能 (MSP) 对于优化训练和预防运动员受伤至关重要.
- 之前的研究已经强调了各种因素的重要性,但在不同人群中预测MSP的综合模型仍在开发中.
研究的目的:
- 为了研究竞争运动员 (CA),运动员和身体不活跃的个体 (PI) 的肌肉力量表现 (MSP).
- 确定体育表现的环境和遗传决定因素.
- 为成人MSP提出预测模型,考虑年龄,性别和身体组成等因素.
主要方法:
- 一项涉及289名参与者的横截面研究 (成人/青少年CA,运动者,PI).
- 肌肉最大,速度和爆炸强度 (MMS/MSS/MES) 通过Biodex System 3 PROTM和实地人体测试进行评估.
- 收集关于生活方式,饮食,体育活动,受伤史,病史,身体组成和遗传学的数据;使用SPSS和R.分析.
主要成果:
- 年龄,健康状况和性别与MSP和身体组成有显著的相关性 (p < 0.05).
- 雌性在准确度方面表现出色,而雄性表现出优越的无氧功率,MSP,速度和耐力 (p < 0.001).
- 成年CA在MMS,MSS和MES中表现优于运动者和PI (p <0.05);回归模型解释了力量测量的显著差异.
结论:
- 肌肉增强策略应根据身体健康,身体组成和人体测量测量进行个性化.
- 对MMS,MSS和MES的性别回归模型为个性化康复和特定技能培训提供了一个框架.
- 这些发现为优化运动训练和性能增强计划提供了宝贵的见解.
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