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<p>This research delves into the significant physiological health, specifically blood pressure (BP) and pulse rate (PR) implications of occupational noise exposure on public bus drivers during work shifts. For this, 63 drivers were selected, and comprehensive noise level data, including time-weighted average sound&#xa0;pressure level and noise dose, were collected across various bus routes. Simultaneously, key hypertension indicators such as BP and PR were recorded. Furthermore, other relevant factors, such as age, experience, passenger load, etc., that could affect the drivers' BP and PR were also recorded. To unravel the intricate relationships between these factors, a statistical technique, variance-based PLS-SEM: Partial Least Squares Structural Equation Modeling, was utilized. The findings unveiled that most of the studied drivers were exposed to noise levels that exceeded the permissible limits documented by the National Institute for Occupational Safety and Health. The PLS-SEM analysis underscored noise exposure as the second most influential factors affecting drivers’ BP and PR, preceded by BMI: Body Mass Index. These results highlight the urgent need for implementing effective noise control measures to mitigate occupational noise exposure and its potential long-term health consequences, particularly concerning cardiovascular health. This study also suggests potential policy interventions to reduce noise exposure levels and mitigate their adverse impacts on bus drivers.</p>

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Evaluating the Association of Occupational Noise Exposure with Hypertension Prevalence in Public Transport Bus Drivers

  • 期刊论文

  • 发表日期：

    2025年11月5日

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  • Anirudh Mishra,
  • Bhaven N. Tandel,
  • Mehul Tandel

摘要

This research delves into the significant physiological health, specifically blood pressure (BP) and pulse rate (PR) implications of occupational noise exposure on public bus drivers during work shifts. For this, 63 drivers were selected, and comprehensive noise level data, including time-weighted average sound pressure level and noise dose, were collected across various bus routes. Simultaneously, key hypertension indicators such as BP and PR were recorded. Furthermore, other relevant factors, such as age, experience, passenger load, etc., that could affect the drivers' BP and PR were also recorded. To unravel the intricate relationships between these factors, a statistical technique, variance-based PLS-SEM: Partial Least Squares Structural Equation Modeling, was utilized. The findings unveiled that most of the studied drivers were exposed to noise levels that exceeded the permissible limits documented by the National Institute for Occupational Safety and Health. The PLS-SEM analysis underscored noise exposure as the second most influential factors affecting drivers’ BP and PR, preceded by BMI: Body Mass Index. These results highlight the urgent need for implementing effective noise control measures to mitigate occupational noise exposure and its potential long-term health consequences, particularly concerning cardiovascular health. This study also suggests potential policy interventions to reduce noise exposure levels and mitigate their adverse impacts on bus drivers.