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二元性输入对新陈代谢或肺部变量没有影响:对象内部的观察研究

Olivia R Perez¹, Michael W H Wong¹, Dustin W Davis¹

¹Department of Kinesiology and Nutrition Sciences, University of Nevada, Las Vegas, Las Vegas, NV 89154, USA.

Sports (Basel, Switzerland)

|August 27, 2025

概括

将双性 (女性或男性) 输入代谢分析系统不会在走路或跑步时改变代谢或肺部变量. 这一发现支持对性别多样性个体的包容性数据收集,而不会损害研究完整性.

科学领域:

运动生理学
代谢分析
性别和性别研究

背景情况:

代谢分析系统通常需要二元性输入,将生物性与性别认同混为一谈.
这种二元方法限制了包容性,并可能影响不同人群的研究准确性.

研究的目的:

调查双性输入 (女性状况与男性状况) 在自动步行和跑步时是否会影响代谢和肺部变量.
评估性别输入对代谢分析中的关键生理指标的影响.

主要方法:

20名成年人参加了两次5分钟的步行和跑步试验.
参与者在女性 (FC) 和男性 (MC) 输入条件下完成了随机试验.
使用依赖性t测试来比较条件之间的变量,p值<0.05被认为是显著的.

主要成果:

在行走或跑步期间,FC和MC之间的相对VO2 (mL/ kg/ min) 或能量消耗 (kcal) 没有显著差异.
步行:相对的VO2 (p=0.08),能量消耗 (p=0.12). 运行:相对VO2 (p=0.90),能源消耗 (p=0.99).
影响大小 (R^2) 很高,表明因性别输入而产生的差异很小.

结论:

在TrueOne 2400系统中,双性输入不会影响测量的代谢或肺部变量.
这支持使用包容性的性别和性别数据收集实践.
包容性数据收集可以提高研究伦理,准确性和代表性,而不会损害科学完整性.

关键词:

能源支出性别多样性的包容性代谢分析性别输入

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