• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.18 no.3
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• pp.185-188
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• 2008

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.

• Safety and Health at Work
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• v.8 no.4
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• pp.371-377
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• 2017

Background: Social status might be a determinant of occupational health inequalities. This study analyzed the effects of social status on both work environments and health outcomes. Methods: The study sample consisted of 27,598 wage employees aged 15 years and older from among the Korean Working Condition Survey participants in 2011. Work environments included atypical work, physical risks, ergonomic risks, work demands, work autonomy, social supports, and job rewards. Health outcomes comprised general health, health and safety at risk because of work, the World Health Organization-5 Well-being Index, work-related musculoskeletal disease, and work-related injury. Multivariable logistic-regression models were used to identify the associations between social status and work environments and health outcomes. Results: Employees in the demographically vulnerable group had lower occupational status compared with their counterparts. Low social status was largely related to adverse work environments. Especially, precarious employment and manual labor occupation were associated with both adverse work environments and poor health outcomes. Conclusion: Precarious and manual workers should take precedence in occupational health equity policies and interventions. Their cumulative vulnerability, which is connected to demographics, occupational status, adverse work environments, or poor health outcomes, can be improved through a multilevel approach such as labor market, organizations, and individual goals.