Estimation of aerobic fitness of underground coal mine workers and development of a predictive equation to determine their <i>V</i> <sub>O2max</sub>

This study aims to evaluate the aerobic fitness of miners and develop a predictive equation to assess their maximum oxygen uptake (<i>V</i><sub>O2max</sub>), which is crucial for ensuring their safety and health in harsh working conditions. Measurement of <i>V</i><sub>O2max</sub> 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 <i>V</i><sub>O2max</sub> 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.

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Publication Details

Journal
International Journal of Occupational Safety and Ergonomics
Published
2025-02-06
DOI
https://doi.org/10.1080/10803548.2025.2454129
Primary Topic
Cardiovascular and exercise physiology
Type
article
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article

Estimation of aerobic fitness of underground coal mine workers and development of a predictive equation to determine their V O2max

Partha Sarathi Paul, Vikram Sakinala
International Journal of Occupational Safety and Ergonomics
Cardiovascular and exercise physiology
article

Estimation of aerobic fitness of underground coal mine workers and development of a predictive equation to determine their V O2max

Partha Sarathi Paul, Vikram Sakinala
article en

Abstract

This study aims to evaluate the aerobic fitness of miners and develop a predictive equation to assess their maximum oxygen uptake (<i>V</i><sub>O2max</sub>), which is crucial for ensuring their safety and health in harsh working conditions. Measurement of <i>V</i><sub>O2max</sub> 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 <i>V</i><sub>O2max</sub> 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.

International Journal of Occupational Safety and ErgonomicsVol. 31(2)
Indian Institute of Technology Dhanbad (IN)
Decent work and economic growth
Openalex Percentile: Top 97%
Cardiovascular and exercise physiology
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Estimation of aerobic fitness of underground coal mine workers and development of a predictive equation to determine their <i>V</i> <sub>O2max</sub> — Partha Sarathi Paul, Vikram Sakinala · International Journal of Occupational Safety and Ergonomics (2025) | TGRS Research Map | TGRS