Korean J Occup Environ Med.  2012 Sep;24(3):239-251.

Risk Factors for Absenteeism due to Work related Musculo-skeletal Disorders among Korean Employees

Affiliations
  • 1Department of Preventive and Occupational Medicine, School of Medicine, Pusan National University, Korea.
  • 2Department of Occupational & Environmental Medicine, Pusan National University Yangsan Hospital, Korea. kim-jongeun@hanmail.net
  • 3Occupational Safety & Health Research Institute,Korea Occupational Safety & Health Agency, OSHRI, Korea.

Abstract


OBJECTIVES
Absenteeism due to musculo-skeletal disorders (MSDs) of workers is an important index of occupational health. Since research on its causes is rare in Korea, the risk factors for absenteeism due to MSDs should be studied.
METHODS
Using the 2nd Korean working condition survey data, we investigated the prevalence of absenteeism due to MSDs. We also analyzed the risk factors for absenteeism by multiple logistic regression analysis in Korean employees.
RESULTS
Prevalence of absenteeism due to MSDs was 0.7% in all employees, 0.5% in men, and 0.9% in women. In logistic regression analysis, gender, age, presence of a representative worker organization, working on tight deadlines, and pace of work dependent on automated equipment/machine were risk factors of absenteeism due to MSDs for both sexes. For males, working time, working at a very high speed were additional risk factors. For females, pace of work dependent on numerical production, performance, and targets were additional risk factors. Although not included in the multiple logistic regression analysis, handling heavy loads in both sexes and average monthly income for women were risk factors in the univariate analysis.
CONCLUSIONS
For absenteeism due to MSDs, the presence of a representative worker organization, along with work pace and its determinants were important risk factors.

Keyword

Sickness absence; Musculo-skeletal disorders; Working condition survey

MeSH Terms

Absenteeism
Female
Handling (Psychology)
Humans
Korea
Logistic Models
Male
Occupational Health
Prevalence
Risk Factors

Reference

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