Journal of Korean Society of Occupational and Environmental Hygiene (한국산업보건학회지)

Korean Industrial Hygiene Association (한국산업보건학회)
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The Analysis of Risk Exposure and Ill Health Symptom by Difference Depending on the Special Type of Employment

특수형태근로 종사 여부에 따른 작업위험요인과 건강상 문제의 차이 분석

  • Shin, Saemi (Health and Safety Convergence Science Introduction, College of Health Science, Korea University) ;
  • Byeon, Sang Hoon (Health and Safety Convergence Science Introduction, College of Health Science, Korea University)
  • 신새미 (고려대학교 보건과학대학 보건안전융합과학과) ;
  • 변상훈 (고려대학교 보건과학대학 보건안전융합과학과)
  • Received : 2018.09.10
  • Accepted : 2018.09.22
  • Published : 2018.09.30
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Abstract

Objectives: The object of this paper is to analyze difference of general and occupational characters, risk exposure and ill health symptom depending on the special type of employment. Methods: 50,007 participants from Fourth Korean Working Condition Survey conducted in 2014 was analyzed. Cross-tabulation analysis was conducted for deriving difference in general and occupational characters, mulitvariate logistic regression analysis was conducted after controlling general and occupational characters for deriving difference in risk exposure and ill health symptom depending on the special type of employment. Results: In the special type of employment, female, ages of 50, education levels of high school, monthly income of 2,000-3,000 thousand won, job types of sales person, enterprises of less than 100 workers, working duration of 2-10 years and long working hours worker's proportion was higher than general employment. Physical(OR: 0.84, 95% CI: 0.76-0.94) and ergonomic (OR: 0.48, 95% CI: 0.42-0.55) risk exposure was lower, psychological(OR: 1.77, 95% CI: 1.54-2.04) risk exposure was higher than general employment, and there was no significant difference between the special type of employment and general employment in chemical/biological risk exposure(OR: 1.06, 95% CI: 0.94-1.20) and ill health symptom(OR: 0.98, 95% CI: 0.89-1.09). Conclusions: This article offers the analysing difference between the special type of employment and general employment using huge size cross sectional data represent Korean employees.

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