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Related Experiment Videos

Dose-response patterns for vibration-induced white finger.

M J Griffin1, M Bovenzi, C M Nelson

  • 1Human Factors Research Unit, Institute of Sound and Vibration Research, University of Southampton, Southampton SO17 1BJ, UK. M.J.Griffin@soton.ac.uk

Occupational and Environmental Medicine
|December 25, 2002
PubMed
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A linear relationship between vibration magnitude and exposure duration effectively predicts hand-arm vibration syndrome (HAVS), also known as white finger. Current frequency weighting standards for assessing vibration exposure may need improvement for better prediction of HAVS.

Area of Science:

  • Occupational Health
  • Ergonomics
  • Vibration Science

Background:

  • Hand-transmitted vibration (HTV) from powered tools is a known cause of occupational ill-health.
  • White finger (Raynaud's phenomenon) is a common condition linked to prolonged HTV exposure.
  • Existing models for predicting white finger may not fully capture the complex relationship between exposure parameters.

Purpose of the Study:

  • To explore alternative models for cumulative HTV exposure.
  • To determine the optimal weighting of vibration magnitude, exposure duration, and frequency for predicting white finger.
  • To evaluate the efficacy of current frequency weighting standards in predicting vibration-induced white finger.

Main Methods:

  • Combined data from three previous studies involving 1557 powered tool users across seven occupations.

Related Experiment Videos

  • Calculated seven different cumulative exposure measures, incorporating vibration magnitude (acceleration) and lifetime exposure duration (m=0, 1, 2, 4).
  • Assessed the predictive power of each exposure measure for white finger occurrence, adjusting for age and smoking.

    • Main Results:

    • All seven tested cumulative exposure measures significantly correlated with white finger occurrence.
    • Measures giving equal weight to acceleration and exposure duration (m=1) outperformed those with higher powers of acceleration (m>1).
    • Unweighted acceleration measures predicted white finger better than frequency-weighted measures, including those adhering to current standards.

    Conclusions:

    • A linear relationship between vibration magnitude and exposure duration appears most suitable for predicting white finger.
    • Current frequency weighting standards may be less effective than using unweighted acceleration for predicting vibration-induced white finger.
    • Improvements in frequency weighting and time dependency models are recommended for current standards to enhance prediction accuracy.