Predicting musculoskeletal symptoms in workers of a manufacturing company

Int J Occup Saf Ergon. 2021 Dec;27(4):1136-1144. doi: 10.1080/10803548.2019.1693112. Epub 2020 Feb 24.

Abstract

Background. Musculoskeletal symptoms are the leading factor responsible for sickness absence. Factors associated with the development of musculoskeletal symptoms must be identified and addressed. Objective. To investigate the 7-day prevalence of musculoskeletal symptoms by body regions, and assess the contribution of individual, lifestyle and occupational risk factors to the development of musculoskeletal disorders. Methods. The sample comprised 202 white-collar and blue-collar workers. Musculoskeletal symptoms were assessed with the Nordic questionnaire, and physical activity level and sitting time with the international physical activity questionnaire. Statistical analyses were conducted to assess the associations between individual, lifestyle and occupational category factors and musculoskeletal symptoms. Results. The 7-day prevalence of work-related musculoskeletal symptoms was 41.6% (n = 84). The highest prevalence of symptoms was reported in the lower back (18.8%), followed by the wrists/hands (17.3%), neck (15.8%), shoulder (15.3%) and ankles/feet (11.4%). A significant association was found between reporting musculoskeletal symptoms and work category. In addition, musculoskeletal symptoms were reported more often by older workers. Work category was a significant predictor of pain in the lower back and shoulder regions, and gender was a significant predictor for neck pain. Conclusions. Our results emphasize the need for worksite interventions to prevent musculoskeletal symptoms in this population.

Keywords: blue-collar workers; musculoskeletal pain; risk factors; white-collar workers.

MeSH terms

  • Humans
  • Musculoskeletal Diseases* / epidemiology
  • Neck Pain / epidemiology
  • Occupational Diseases* / epidemiology
  • Shoulder
  • Workplace