Background <p>Workplace exposure to low-frequency whole-body vibration (WBV) is closely associated with musculoskeletal disorders, particularly chronic low back pain (LBP) and lumbar disc herniation. Current biomechanical models assess health risks, but lack validation against actual incidence rates in affected populations.</p> Methodology <p>Self-reported LBP among dumper operators (n = 61) was assessed using the Standard Nordic Questionnaire. WBV exposure levels were measured in an open-cast coal mine, and biomechanical models predicted health risks related to WBV and its cumulative impact on the lumbar spine. Structured interviews gathered data on individual characteristics and work-related risk factors. To explore the influence of these factors on the risk of lumbar injury (R<sup>A</sup>), regression analysis was performed, linking personal and occupational risk factors to R<sup>A</sup> values derived from the biomechanical models.</p> Results <p>Fast Fourier transform of the input seat-pad acceleration showed peaks dominant in the lower frequency range of 2–8&#xa0;Hz. Operators reporting LBP had significantly higher mean R<sup>A</sup> value compared to those without LBP (<i>p</i> &lt; 0.001). Regression analysis found that years of exposure (B = 0.011, <i>p</i> &lt; 0.001) and age at the start of exposure (B = 0.009, <i>p</i> &lt; 0.001) significantly affect R<sup>A</sup> values, with increased spinal acceleration linked to higher injury risk. BMI had no significant impact. The Variance Inflation Factor (VIF) values were below the threshold of 5, indicating an acceptable level of multicollinearity in the dataset. The model demonstrated high accuracy (R<sup>2</sup> = 0.964) and statistical significance (F = 370.2, <i>p</i> &lt; 0.001).</p> Conclusion <p>R<sup>A</sup> values obtained from biomechanical model demonstrate significant associations with lumbar spine health risks, emphasizing the necessity for further research and targeted preventive strategies. To improve the accuracy of R<sup>A</sup> thresholds and integrate them with epidemiological data, studies involving a broader range of ethnic groups are necessary.</p>

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Evaluating risk of lumbar injury among dumper operators from occupational exposure to low-frequency seat vibration

  • Amit Sharma,
  • Ashish Kumar,
  • Bibhuti Bhusan Mandal,
  • Jhareswar Maiti

摘要

Background

Workplace exposure to low-frequency whole-body vibration (WBV) is closely associated with musculoskeletal disorders, particularly chronic low back pain (LBP) and lumbar disc herniation. Current biomechanical models assess health risks, but lack validation against actual incidence rates in affected populations.

Methodology

Self-reported LBP among dumper operators (n = 61) was assessed using the Standard Nordic Questionnaire. WBV exposure levels were measured in an open-cast coal mine, and biomechanical models predicted health risks related to WBV and its cumulative impact on the lumbar spine. Structured interviews gathered data on individual characteristics and work-related risk factors. To explore the influence of these factors on the risk of lumbar injury (RA), regression analysis was performed, linking personal and occupational risk factors to RA values derived from the biomechanical models.

Results

Fast Fourier transform of the input seat-pad acceleration showed peaks dominant in the lower frequency range of 2–8 Hz. Operators reporting LBP had significantly higher mean RA value compared to those without LBP (p < 0.001). Regression analysis found that years of exposure (B = 0.011, p < 0.001) and age at the start of exposure (B = 0.009, p < 0.001) significantly affect RA values, with increased spinal acceleration linked to higher injury risk. BMI had no significant impact. The Variance Inflation Factor (VIF) values were below the threshold of 5, indicating an acceptable level of multicollinearity in the dataset. The model demonstrated high accuracy (R2 = 0.964) and statistical significance (F = 370.2, p < 0.001).

Conclusion

RA values obtained from biomechanical model demonstrate significant associations with lumbar spine health risks, emphasizing the necessity for further research and targeted preventive strategies. To improve the accuracy of RA thresholds and integrate them with epidemiological data, studies involving a broader range of ethnic groups are necessary.