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个体及工作特征作为工业事故的预测因素

Individual and job characteristics as predictors of industrial accidents.

作者信息

Leigh J P

出版信息

Accid Anal Prev. 1986 Jun;18(3):209-16. doi: 10.1016/0001-4575(86)90005-9.

DOI:10.1016/0001-4575(86)90005-9
PMID:3730095
Abstract

This study asks whether individual or job characteristics are better predictors of industrial accidents. Data include a subset of employees drawn from the nationally-based Panel Study of Income Dynamics for 1978 and 1979. Individuals are classified as suffering a new accident if they began receiving workers' compensation during the study year. Evidence is produced that job characteristics such as frequent overtime, operative or laborer occupational categories, length of time with the job and hazardous working conditions are better predictors of industrial accidents than are personal characteristics such as age, marital status and schooling.

摘要

本研究探讨个人特征或工作特征是否能更好地预测工业事故。数据包括从1978年和1979年全国性收入动态面板研究中抽取的一部分员工。如果个人在研究年度开始领取工人赔偿金,则被归类为遭遇新事故。有证据表明,与年龄、婚姻状况和受教育程度等个人特征相比,频繁加班、操作工或劳工职业类别、工作时长和危险工作条件等工作特征能更好地预测工业事故。

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