Sakinala Vikram, Paul P S
Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), India.
Int J Occup Saf Ergon. 2025 Jun;31(2):529-537. doi: 10.1080/10803548.2025.2454129. Epub 2025 Feb 6.
This study aims to evaluate the aerobic fitness of miners and develop a predictive equation to assess their maximum oxygen uptake (), which is crucial for ensuring their safety and health in harsh working conditions. Measurement of via indirect calorimetry is costly and requires skilled personnel; developing a predictive equation is a viable alternative. Existing predictive equations, e.g., Hunt, Kline and Dolgener equations, were tested using the Pearson correlation coefficient, constant error, standard error of estimate and total error. The aerobic fitness of shearer operators, bolters miners, jackhammer drillers and road header operators was very low. Bland-Altman analysis revealed that predicted measurements of all three equations had a total error of >10%, which is unacceptable for usage. Therefore, a new predictive equation was developed with a total error of 9.78%. The developed predictive equation is useful to evaluate miners' functional capacity with higher precision and assist in allocating work.
本研究旨在评估矿工的有氧适能,并建立一个预测方程来评估他们的最大摄氧量(),这对于确保他们在恶劣工作条件下的安全和健康至关重要。通过间接量热法测量成本高昂且需要技术人员;建立预测方程是一种可行的替代方法。使用皮尔逊相关系数、恒定误差、估计标准误差和总误差对现有的预测方程,如亨特、克莱因和多尔根纳方程进行了测试。采煤机操作员、锚杆支护工、风钻工和掘进机操作员的有氧适能非常低。布兰德-奥特曼分析表明,所有三个方程的预测测量总误差均>10%,这在使用中是不可接受的。因此,开发了一个总误差为9.78%的新预测方程。所开发的预测方程有助于更精确地评估矿工的功能能力,并协助分配工作。