Occupational Injury and Disease by the Hired Proportion of Precarious Employee in Manufacturing Industry with 50 Employees or More

50인 이상 제조업 사업장의 비정규직 근로자 고용비율에 따른 재해율

  • 신철임 (한국쓰리엠) ;
  • 강태선 (노동부 성남지청) ;
  • 이관형 (한국산업안전공단) ;
  • 김원기 (와이즈에이치) ;
  • 김수근 (성균관대학교 의과대학 산업의학교실 강북삼성병원 산업의학과)
  • Received : 2008.01.21
  • Accepted : 2008.09.09
  • Published : 2008.09.30

Abstract

Objectives: The purpose of this study is to analyze the occupational safety and health(OSH) state of precarious employee. Methods: The questionnaire of this survey is composed of 9 categories that are the workplace general information and the state of occupational injury and disease, OSH organization, OSH education and training. The subjects of this survey were the Manufacturing. The hypothesis of this study is where the proportion of precarious employee is higher, the OSH state is worse. To verify this hypothesis, we grouped the subjects into three categories by the proportion of precarious employee like as 0%(all standard employee), less than 30% and 30% or more. Using the SPSS 12.0 program to analyze the data, logistic regression analysis were implemented to find affective factors for the rate of occupational injury and disease. Results: 2,633 manufacturing workplaces were included for subjects. The proportions of precarious employee were 9.6 %. In manufacturing industry, about 70 % companies had no precarious employee. 16.8 % companies were in less than 30 % group, 13.2 % companies were in 30% or more group. For the rate of occupational injury and disease, the precarious group were 0.85(${\pm}1.8$), 1.19(${\pm}2.9$), 0.59(${\pm}1.1$). There was a trend that the higher precarious proportion groups was the higher rate of occupational injury and disease by the logistic regression analysis. It is more strong relationship than company size and OSH committee. Conclusions: We could find a significant result there was a positive relationship between the hiring proportion of precarious employee and the rate of occupational injury and disease in manufacturing industry with 50 employees and more.

Keywords

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