Prevalence of musculoskeletal symptoms among garment workers in Kandal province, Cambodia

J Occup Health. 2016;58(1):107-17. doi: 10.1539/joh.15-0100-FS. Epub 2015 Nov 21.

Abstract

Objectives: The main objectives of this cross-sectional descriptive study were to identify the prevalence of musculoskeletal symptoms and workstation biomechanical risk levels for garment workers in Kandal Province, Cambodia.

Methods: This cross-sectional descriptive study used multistage sampling techniques to select 714 workers from three garment factories among 22 medium-size factories (250-1,000 workers). Face-to-face interviews and direct observation using the rapid upper limb assessment scale (RULA) were used to collect data.

Results: The response rate was 98.3% (702/714), and the majority (89.3%) of the respondents were female. Ninety-two percent (95% CI=90.0-94.0) of the workers reported musculoskeletal symptoms in at least one body region in the previous 12 months and 89.0% (95% CI=86.7-91.3) of the workers reported such symptoms in the past seven-day period. The neck, shoulder, and lower back were the most affected body regions. In addition, the RULA data showed that 81.2% of the workers' postures were rated as action level 3, indicating that investigation and change were required soon, and that 7.5% their postures were rated as action level 4, indicating that investigation and change were required immediately.

Conclusions: Cambodian garment workers reported a high prevalence of musculoskeletal symptoms in upper body regions, and their workplaces were rated as high risk ergonomically.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Cambodia / epidemiology
  • Clothing
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Musculoskeletal Diseases / epidemiology*
  • Musculoskeletal Diseases / etiology
  • Occupational Diseases / epidemiology*
  • Occupational Diseases / etiology
  • Posture
  • Prevalence
  • Risk Factors
  • Surveys and Questionnaires
  • Textile Industry / statistics & numerical data*
  • Upper Extremity / physiopathology
  • Workplace
  • Young Adult