预测全身出汗率:户外跑步和骑自行车运动
Ollie Jay1, Julien D Périard2, Brad Clark2
1Heat and Health Research Center, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
概括
开发准确的全身出汗率预测模型,用于户外跑步和骑自行车. 这些模型使用简单的输入,并且可以在线获得,以指导运动员的水化策略.
科学领域:
- 运动生理学 运动生理学
- 环境生理学环境生理学
- 运动科学 运动科学 运动科学
背景情况:
- 运动员在长时间炼期间,精确的水分管理对运动员至关重要.
- 现有的出汗率预测模型往往缺乏针对不同活动或环境条件的具体性.
研究的目的:
- 为户外跑步和骑自行车开发和验证不同的全身出汗率预测方程.
- 在这些预测模型中评估主观环境估计的有用性.
主要方法:
- 在澳大利亚进行了182次跑步和158次骑自行车试验.
- 数据被分为模型开发和验证集.
- 模型使用测量和主观估计的环境数据进行了测试.
主要成果:
- 开发了运行和骑自行车的单独预测模型,平均绝对误差低 (分别为0.03和0.02 L·h-1).
- 模型展示了可接受的置信区间来预测出汗率.
- 主观环境输入对跑步的模型准确性略有降低,但对骑自行车的模型准确性最小.
结论:
- 新的,验证的全身出汗率预测模型可用于户外跑步和骑自行车.
- 这些模型可以通过在线计算器访问,可以帮助个性化水化规划.
- 这些模型为运动员在训练和娱乐期间管理水分的实用工具.
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