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Socio-economic and occupational determinants of work injury absence

机译:工伤缺位的社会经济和职业决定因素

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Background: Measures of socio-economic position, such as education, occupational class and income, are well-known determinants of ill-health, injury and sickness absence. The aim was to analyse socio-economic and occupational determinants of work injury absence and their contribution to overall socio-economic inequalities in all-cause sickness absence. Methods: A register-based follow-up study included municipal employees of the City of Helsinki aged 25-59 years in 2004. The number of participants was 16 471 women and 5033 men. The mean follow-up time was 3.0 years. Education, occupational class and individual income were used as measures of socio-economic position. The main outcome was medically confirmed work injury and all-cause sickness absence of ≥4 days. Inequality indices were calculated using Poisson regression analysis. Results: High education, occupational class and individual income were consistently associated with lower work injury absence among both women and men. The inequalities in work injury absence were larger than in all-cause sickness absence, especially among men, but the contribution to overall socio-economic inequalities was limited. Among women, bus drivers, cooks and hospital attendants had the highest rates of work injuries. Among men, youth mentors, firemen and janitors had the highest rates. Conclusions: Our results indicate that relative socio-economic inequalities in work injury absence are larger than in all-cause sickness absence. Prevention of work injuries provides a source of reducing socio-economic inequalities in health, but their effect is not very large. Prevention of work injuries should be targeted to lower white-collar and manual workers and vulnerable occupations.
机译:背景:社会经济地位的度量标准,例如教育程度,职业等级和收入,是疾病,受伤和缺病的众所周知的决定因素。目的是分析工伤缺勤的社会经济和职业决定因素及其在全因病缺勤中对整体社会经济不平等的贡献。方法:基于登记的随访研究包括2004年赫尔辛基市25至59岁的市政雇员。参与者为16 471名女性和5033名男性。平均随访时间为3.0年。受教育程度,职业等级和个人收入被用作衡量社会经济地位的指标。主要结局为医学确诊的工伤和≥4天的全因疾病。使用Poisson回归分析计算不平等指数。结果:男女之间,较高的教育程度,职业水平和个人收入与较低的工伤缺勤率一直相关。工伤缺勤的不平等比全因疾病缺勤的不平等要大,尤其是在男性中,但对总体社会经济不平等的贡献是有限的。在女性中,公交车司机,厨师和医院服务员的工伤率最高。在男性中,青年导师,消防员和看门人的比例最高。结论:我们的结果表明,工伤缺勤的相对社会经济不平等程度大于全因疾病缺勤的社会经济不平等程度。预防工伤提供了减少健康方面的社会经济不平等的来源,但是其影响不是很大。预防工伤的对象应是下层白领和体力劳动者以及易受伤害的职业。

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