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首页> 外文期刊>International Journal of Environmental Research and Public Health >Relationship between Firefighter Physical Fitness and Special Ability Performance: Predictive Research Based on Machine Learning Algorithms
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Relationship between Firefighter Physical Fitness and Special Ability Performance: Predictive Research Based on Machine Learning Algorithms

机译：消防员身体健康与特殊能力性能之间的关系：基于机器学习算法的预测研究

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摘要

Firefighters require a high level of physical fitness to meet the demands of their job. The correlations and contributions of individual physical health parameters to the tasks of firefighting would enable firefighters to focus on the effects of specific physical conditions during their physical training programs. Therefore, the purpose of the present study was to identify the relationships between various physical health parameters (weight, maximum oxygen uptake, body fat percentage, upper body muscular power and lower body muscular power) and performance on simulated firefighting ability tasks, which included a set of seven tasks (rope climb, run 200 m round trip with load, 60 m carrying a ladder, climb stairs with load, evacuation of 400 m with supplies, run 5 km with an air respirator, run 100 m with the water hose). Through use of a partial least-squares regression (PLSR) algorithm to analyze the linear correlation, we revealed the change in various training performances of specific ability tests with physical fitness parameters. The present study demonstrated significant relationships among physical health parameters and performance on simulated firefighting ability tasks, which also represent that those parameters contributed significantly to the model’s predictive power and were suitable predictors of the simulated firefighting tasks score.
机译：消防员需要高水平的身体素质，以满足他们的工作需求。个人身体健康参数对消防任务的相关性和贡献将使消防员能够在其体育培训计划期间专注于特定物理条件的影响。因此，本研究的目的是识别各种物理健康参数（重量，最大氧吸收，体脂百分比，上半身肌肉动力和低于身体肌肉力量）和模拟消防能力任务的性能之间的关系，其中包括一个套七项任务（绳索爬升，跑200米往返负荷，60米携带梯子，爬楼梯装载，疏散400米用耗材，跑5公里，带空气呼吸器，用水软管运行100米） 。通过使用局部最小二乘回归（PLSR）算法来分析线性相关性，我们揭示了具有物理健身参数的特定能力测试的各种训练性能的变化。本研究表明了物理卫生参数和模拟消防能力任务的性能之间的显着关系，这也代表了这些参数对模型的预测力作出的显着贡献，并且是模拟消防任务分数的合适预测因子。

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