Well being, work environment and work accidents.
We examine factors that influence accident proneness among employees. We agree that the determinants of accident proneness include organizational, emotional and personal factors. Using logistic regression we estimated three models, and their predictability for accident proneness among sample of 200 injured workers interviewed upon entering hospital emergency wards in Israel. Work injuries were not contingent on age, religion, nor education. The effects of gender were strong but non-significant. Subcontracted and higher-paid workers are more likely to get repeat injuries. Prior injury experience sensitized employees to stronger perceptions of risk associated with unsafe practices. Large family households, ameliorates stress feelings and lessens the likelihood of accident proneness while poor housing conditions have the opposite effect. The full model demonstrates considerable prediction of injuries when focusing on type of employment, personal income level, being involved in dangerous jobs, emotional distress and a poor housing environment. The model contains most of the significant results of interest and provides a high level of predictability for work injuries.
Kirschenbaum
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A
Faculty of Industrial Engineering and Managment, Technion-Israel Institute of Technology, Haifa. avik@teckunix.technion.ac.il
Oigenblick
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L
Goldberg
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AI
D000057:Accident Proneness; D000062:Accidents, Occupational / Q000706:statistics & numerical data*; D000328:Adult; D004777:Environment; D005260:Female; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D012307:Risk Factors; D012959:Socioeconomic Factors; D013315:Stress, Psychological / Q000453:epidemiology; D011795:Surveys and Questionnaires