测定体力活动能量消耗评价井下矿工职业健康感知

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Vikram Sakinala, P.S. Paul
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引用次数: 0

摘要

矿工疲劳是井下开采的重要危害之一。年龄、体质指数(BMI)、生活方式、有氧强度、体力活动能量消耗(PAEE)等因素对矿工疲劳强度有显著影响。因此,本研究通过分析最大耗氧量(VO2 max)时的PAEE与轮班时所需峰值PAEE之间的差异来研究地下矿工的疲劳。结果表明,55.81%的有氧能力非常低的矿工在完成一个有效的工作班次后,只剩下45-590千卡的能量。Pearson相关分析显示,疲劳与剩余有氧能势(RAEP)呈显著负相关(R = - 0.79, p = 0.01)。随后,使用结构方程模型(SEM)探讨了关键个人因素(年龄、BMI、生活方式)与感知健康之间的关系,其中VO2 max时PAEE、RAEP和疲劳是介导因素。扫描电镜分析表明,BMI和生活方式通过VO2 max、RAEP和疲劳时的PAEE对感知健康有显著的间接影响。这些发现为矿山管理人员制定疲劳管理策略以提高矿工的健康和福祉提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of physical activity energy expenditure to evaluate occupational health perception of underground mine workers
Miner fatigue is a critical hazard in underground mining. Factors such as age, Body Mass Index (BMI), lifestyle, aerobic strength, and Physical Activity Energy Expenditure (PAEE) of miners significantly influence fatigue intensity. Therefore, this study investigated underground miner’s fatigue by analyzing the difference between PAEE at the maximum volume of oxygen consumed (VO2 max) and the peak PAEE required during a work shift. The results showed that 55.81 % of miners with very low aerobic capacity had only 45–590 kcal of energy remaining after completing an effective working shift. A Pearson correlation revealed a strong negative association (R = −0.79, p = 0.01) between fatigue and Remaining Aerobic Energy Potential (RAEP). Later, Structural Equation Modelling (SEM) was used to explore the relationships between key personal factors (age, BMI, lifestyle) and perceived health, mediated by PAEE at VO2 max, RAEP, and fatigue. The SEM analysis demonstrated that BMI and lifestyle had significant indirect effects on perceived health through PAEE at VO2 max, RAEP, and fatigue. These findings provide valuable insights for mine management in developing fatigue management strategies to enhance the health and well-being of miners.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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