This study examines factors influencing occupational injuries among plant and machine operators using the Semi-supervised MarginBoost algorithm. Data from the 2007-2009 Korean National Health and Nutrition Examination Survey (KNHANES) were analyzed, covering 4,062 employed participants. The MarginBoost model achieved 84.3% accuracy, outperforming other models. Key factors identified included exposure to hazardous substances, ergonomic conditions, and psychosocial stress. The findings emphasize the need for targeted interventions to enhance workplace safety and offer a robust predictive tool for the effective management of occupational health.

Occupational injury rate of Korea recently slides slightly downward after stagnating around 0.7%'s for more than 10 years. To accelerate this trend, injury prevention for small enterprises is crucially important because vast majority of injuries take place in small enterprises. Considering huge number of small enterprises, we need to focus our efforts to type of riskier industries. By analysing detailed injury data, we select type of industries which need our concentrated prevention efforts. Several preventive measures are recommended, after we made literature survey of case studies for small enterprises. The result identifies riskier type of industries including transportation machinery manufacturing industry type(B), woods & veneer manufacturing industry, etc. Safety of machinery, new enterprises less than 2 years in service and new employees serving less than 6 months are in need for focused prevention efforts. To cope with these vulnerable spots, recommended preventive measures include strengthening of machinery safety standards, early assistance for safety to new enterprises, mandatory safety education before employment, etc.

OSHA(Occupational Safety and Health Act) generally regulates employer's business principles in the workplace to maintain safety environment. This act has the fundamental purpose to protect employee's safety and health in the workplace by reducing industrial accidents. Authors tried to investigate the correlation between 'occupational injuries and illnesses' and level of regulation compliance using Survey on Current Status of Occupational Safety & Health data by the various statistical methods, such as generalized regression analysis, logistic regression analysis and poison regression analysis in order to compare the results of those methods. The results have shown that the significant affecting compliance factors were different among those statistical methods. This means that specific interpretation should be considered based on each statistical method. In the future, relevant statistical technique will be developed considering the distribution type of occupational injuries.

This study was planned to analyze the effect of the types of employment on work-related injury experience. The types of employment may have influenced on working conditions including the exposure to risk factors. Korean Working Conditions Survey have collected the various working conditions as household survey with structured questionnaire. The probability of work-related injury of self-employed is more than that of regular worker. But there is no difference of probability of work-related injury experience between regular and irregular worker controlled by general characteristics and the exposure to risk factors. Authors have found that the type of employment have indirect effect on work-related injury experience via the exposure to risk factors. The result of this study may be heuristic one because of data limitation as cross sectional survey data. In future, well designed survey data can evaluate the effect of the type of employment on safety and health status.

This paper reviewed the relationship between job quality, job satisfaction and occupational injuries, and the mediating effect of job satisfaction. Based on the responses from 278 employees in manufacturing sector, the results of multiple regression analysis showed that all job quality factors(job variety, autonomy, job importance, feedback) have positive relationship with job satisfaction and job satisfaction has negative relationship with number of injuries. Also, job satisfaction was found to mediates the relationship between all job quality factors and occupational injuries.

목적 : 본 연구에서는 작업치료 서비스를 이용하고 있는 산업재해 환자와 일반 환자의 일반적 특성과 건강관련 삶의 질(SF-36)을 측정하여, 이들 두 군의 삶의 질 수준과 이에 영향을 주는 요소들을 조사하고자 하였다. 연구방법 : 산업재해 환자와 일반 환자의 일반적 특성 및 삶의 질을 알아보기 위하여 2007년 3월부터 8월까지 산재의료관리원 산하 3개 병원과 서울, 인천과 서산에서 4개 종합병원의 작업치료실에 조사를 의뢰하였다. 조사대상자는 사고나 질병발생 이전에 선천적인 장애가 없었고 직업을 가졌던 경험이 있으며, 설문의 문항을 이해하고 응답하는 데 인지적인 문제가 없는 산업재해 환자 121명과 일반 환자 74명이었다. 결과 : SF-36의 총점에서 산업재해 환자는 일반 환자에 비해 삶의 질이 유의하게 낮았고, SF-36의 8개 범주 중에서는 신체적 기능과 정신건강 범주에서 산업재해 환자의 삶의 질이 일반 환자에 비해 유의하게 낮았다. 일반적 특성이 삶의 질에 영향을 미치는 요인으로는 산업재해 환자에서는 연령과 직업복귀 가능성이었으며, 일반 환자에서는 치료기간이 삶의 질에 영향을 미치는 요인임을 알 수 있었다.