Musculoskeletal pain among Midwest farmers and associations with agricultural activities

Am J Ind Med. 2015 Mar;58(3):319-30. doi: 10.1002/ajim.22398. Epub 2014 Oct 23.

Abstract

Background: Although agricultural workers experience a high prevalence of musculoskeletal pain, associations between specific agricultural activities and musculoskeletal pain are not well characterized.

Methods: Among 518 regional farmers, responses to a mailed questionnaire were used to estimate (i) the 2-week prevalence of low back, neck/shoulder, and elbow/wrist/hand pain, and (ii) associations between the average hours per week performing common agricultural activities and musculoskeletal pain.

Results: The low back was the most common location of musculoskeletal pain (33.2%), followed by the neck/shoulder (30.8%) and elbow/wrist/hand (21.6%). Statistically significant adjusted associations were observed between performing equipment repair and maintenance and low back pain; milking animals and neck/shoulder pain; and manual material handling and elbow/wrist/hand pain, among others.

Conclusions: The observed prevalence estimates are consistent with previous literature, and the associations between agricultural activities and musculoskeletal pain provide an initial basis for targeted intervention research.

Keywords: agriculture; epidemiology; ergonomics; musculoskeletal pain.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Aged
  • Agriculture / methods
  • Agriculture / statistics & numerical data*
  • Equipment and Supplies / adverse effects
  • Female
  • Humans
  • Low Back Pain / epidemiology
  • Low Back Pain / etiology
  • Male
  • Middle Aged
  • Midwestern United States / epidemiology
  • Musculoskeletal Pain / epidemiology*
  • Musculoskeletal Pain / etiology*
  • Neck Pain / epidemiology
  • Neck Pain / etiology
  • Occupational Injuries / epidemiology*
  • Occupational Injuries / etiology*
  • Prevalence
  • Surveys and Questionnaires
  • Upper Extremity / injuries
  • Work / statistics & numerical data