Estimation of aerobic fitness of underground coal mine workers and development of a predictive equation to determine their VO2max.

IF 1.6 4区 医学 Q3 ERGONOMICS
Vikram Sakinala, P S Paul
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引用次数: 0

Abstract

This study aims to evaluate the aerobic fitness of miners and develop a predictive equation to assess their maximum oxygen uptake (VO2max), which is crucial for ensuring their safety and health in harsh working conditions. Measurement of VO2max 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 VO2max 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.

煤矿井下工人有氧适能估计及最大摄氧量预测方程的建立。
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(VO2max),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VO2max是昂贵的,需要熟练的人员;开发一个预测方程是一个可行的选择。现有的预测方程,如Hunt、Kline和Dolgener方程,采用Pearson相关系数、常数误差、估计标准误差和总误差进行检验。采煤机操作员、锚杆矿工、手提钻和掘进机操作员的有氧适宜度很低。Bland-Altman分析显示,所有三个方程的预测VO2max测量值的总误差为1010%,这是不可接受的。因此,建立了一个总误差为9.78%的预测方程。所建立的预测方程可以较高的精度评价矿工的工作能力,辅助分配工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.80
自引率
8.30%
发文量
152
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