Alali Hanan, Abdel Wahab Magd, Van Hecke Tanja, Braeckman Lutgart
a Faculty of Engineering and Architecture , Ghent University , Gent , Belgium.
b Department of Industrial Technology and Construction , Ghent University , Ghent , Belgium.
Int J Occup Environ Health. 2016 Apr;22(2):99-106. doi: 10.1080/10773525.2016.1168588. Epub 2016 Apr 19.
The fast growth of non-standard employment in developed countries highlights the importance of studying the influence of contract type on worker's safety and health.
The main purpose of our study is to investigate whether non-standard workers are more injured than standard workers or not. Additionally, other risk factors for occupational accidents are investigated.
Data from the Belgian surveys on work ability in 2009 and 2011 are used. During their annual occupational health examination, workers were asked to fill in a self-administered questionnaire. In total, 1886 complete responses are collected and analyzed using logistic regression.
Temporary workers did not have higher injury rates than permanent workers [OR 0.5, 95% confidence interval 0.2-1.2]. Low-educated, less-experienced workers and those exposed to dangerous conditions are more frequent victims of occupational accidents.
The present data do not support the hypothesis that non-standard workers have more injuries than standard workers. Our results about occupational accidents derived from a non-representative sample of the Belgian workforce and cannot be generalized due to the heterogeneity in job organization and labor regulations between countries. Further research is needed to extend our findings and to seek other factors that may be associated with work accidents.
发达国家非标准就业的快速增长凸显了研究合同类型对工人安全与健康影响的重要性。
我们研究的主要目的是调查非标准工人是否比标准工人更容易受伤。此外,还对职业事故的其他风险因素进行了调查。
使用了2009年和2011年比利时工作能力调查的数据。在年度职业健康检查期间,要求工人填写一份自填式问卷。总共收集了1886份完整回复,并使用逻辑回归进行分析。
临时工的受伤率并不高于长期工[比值比0.5,95%置信区间0.2 - 1.2]。受教育程度低、经验不足的工人以及那些暴露于危险环境中的工人更容易成为职业事故的受害者。
目前的数据不支持非标准工人比标准工人更容易受伤的假设。我们关于职业事故的结果来自比利时劳动力的非代表性样本,由于各国工作组织和劳动法规的异质性,不能一概而论。需要进一步研究以扩展我们的发现,并寻找可能与工作事故相关的其他因素。