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How to Assess the Biomechanical Risk Levels in Beekeeping.

G Maina1, F Rossi2, A Baracco3

  • 1a Department of Clinical and Biological Sciences , University of Turin , Turin , Italy.

Journal of Agromedicine
|January 15, 2016
PubMed
Summary

Beekeepers face significant biomechanical risks during tasks like lifting heavy supers, potentially leading to musculoskeletal disorders. A new toolkit helps assess and mitigate these risks in beekeeping and similar agricultural jobs.

Keywords:
Biomechanical risk assessmentcomputer-assisted toolkitexposure levelfarmersmusculoskeletal disorders

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Area of Science:

  • Occupational health and safety
  • Ergonomics
  • Agricultural science

Background:

  • Beekeepers are susceptible to work-related musculoskeletal disorders.
  • Existing studies often lack detailed exposure assessments for beekeeping tasks.
  • Biomechanical overload is a key concern in manual agricultural activities.

Purpose of the Study:

  • To evaluate biomechanical overload exposure in beekeeping.
  • To develop and apply a multitasking model for risk assessment.
  • To create a computer-assisted toolkit for beekeepers.

Main Methods:

  • Characterization of 37 basic beekeeping operational tasks.
  • Application of Occupational Repetitive Actions (OCRA) Checklist and NIOSH Lifting Index.
  • Time-weighted averaging of risk indices and development of a risk assessment toolkit.

Main Results:

  • Upper limb biomechanical overload risk varies from acceptable to high, with 'distribution of top supers' posing the highest risk.
  • Back injury risk is borderline for women and increases with exposure, while it ranges from acceptable to borderline for men.
  • Identified specific tasks with varying levels of acceptable, borderline, and high biomechanical risk.

Conclusions:

  • Biomechanical risk levels in beekeeping necessitate targeted interventions (engineering, administrative, behavioral) to prevent musculoskeletal disorders.
  • The developed methodology and toolkit can aid beekeepers in risk assessment and management.
  • The approach is adaptable for risk assessment in other manual agricultural settings.