The examination of work-related musculoskeletal discomforts and risk factors in veterinarians

Arh Hig Rada Toksikol. 2017 Sep 26;68(3):198-205. doi: 10.1515/aiht-2017-68-3011.

Abstract

This study aimed to determine the frequency of work-related musculoskeletal discomforts (WMSDs) observed in veterinarians and the risk factors that may bring about these. Two hundred and seven veterinarians working in three provinces in south west Turkey were included in the study. The demographic and occupational information on the participants was recorded. The Modified Nordic Musculoskeletal Questionnaire was used to evaluate the musculoskeletal problems of different body parts, which cause difficulties at work and result in staying away from work. 49.8 % of veterinarians mostly have problems with lower back, 41.1 % with back, and 39.1 % with neck. The frequency of WMSDs tends to increase with the progress of professional experience. Three work-related activities during which veterinarians experience most difficulties while at work are obstetric procedures (28 %), vaccination (25.6 %), and driving (23.2 %). It is statistically significant that arm problems are observed more in veterinarians working with large animal types (p<0.05). The high level of job related stress and low job satisfaction statistically significantly affect the formation of WMSDs (p<0.05). The study showed that a large number of veterinarians experienced work-related musculoskeletal pain and discomforts that could be caused by some physical and psychosocial risk factors. Therefore, it is recommended for veterinarians to receive education on ergonomics and exercise from the beginning of their professional lives to prevent WMSDs.

Keywords: ergonomics; job related stress; lower back; neck; prevalence.

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Female
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Musculoskeletal Diseases / epidemiology*
  • Occupational Diseases / epidemiology*
  • Risk Factors
  • Surveys and Questionnaires
  • Turkey / epidemiology
  • Veterinarians / statistics & numerical data*