职业不平等和性别差异:工伤事故,巴西,2019 年

Luciana de Melo Gomides, M.N.S. Abreu, A. Assunção
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摘要

摘要 目的 在巴西人口的代表性样本中,分析社会人口和职业因素的分布及其与自我报告的工伤事故(WA)之间的关联,重点是职业等级,并研究这种分布中的性别差异。方法 这是一项基于人口的横断面研究,使用了 2019 年全国健康调查(PNS)的数据,分析了 18 岁或以上成年人样本的回答。采用二元逻辑回归和分块层次分析法(社会人口和职业变量)调查了与 WA 相关的因素。采用 5%的显著性水平,根据所有区块的变量对最终模型进行调整。得出了几率比(OR)值和相应的置信区间。结果 在参与者中,有 2.69% 的人表示曾遭受过 WA,其中男性的发病率(3.37%;95%CI 2.97-3.82%)高于女性(1.86%;95%CI 1.55-2.23%)。分析表明,年龄组、夜间工作、工作时间和接触职业风险与 WA 有关,重点是性别差异。与管理人员/专业人员相比,体力劳动者阶层,无论是有资质的(ORwomen = 2.87; 95%CI 1.33-6.21 and ORmen = 2.46; 95%CI 1.37-4.40)还是无资质的(ORwomen = 2.55; 95%CI 1.44-4.50 and ORmen = 3.70; 95%CI 1.95-7.03),其患腰椎间盘突出症的几率都更高。结论 职业因素在很大程度上增加了男性和女性患腰椎间盘突出症的几率,在职业结构中处于较低层次的人群中这一几率更大。研究结果为制定预防工作提供了线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Occupational inequalities and gender differences: work accidents, Brazil, 2019
ABSTRACT OBJECTIVE To analyze the distribution and association of sociodemographic and occupational factors with self-reported work accidents (WA) in a representative sample of the Brazilian population, with emphasis on occupational class, and to examine gender differences in this distribution. METHODS A population-based cross-sectional study, using data from the 2019 National Health Survey (PNS), analyzed the responses of a sample of adults aged 18 or over. Factors associated with WA were investigated using binary logistic regression and hierarchical analysis using blocks (sociodemographic and occupational variables). The final model was adjusted by variables from all blocks, adopting a significance level of 5%. The values of odds ratios (OR) and respective confidence intervals were obtained. RESULTS Among the participants, 2.69% reported having suffered a WA, with a higher prevalence in men (3.37%; 95%CI 2.97–3.82%) than in women (1.86%; 95%CI 1.55–2.23%). The analysis identified that age group, night work, working hours, and exposure to occupational risks were associated with WA, with emphasis on gender differences. The class of manual workers, both qualified (ORwomen = 2.87; 95%CI 1.33–6.21 and ORmen = 2.46; 95%CI 1.37–4.40) and unskilled (ORwomen = 2.55; 95%CI 1.44–4.50 and ORmen = 3.70; 95%CI 1.95–7.03), had a higher chance of WA than the class of managers/professionals. CONCLUSION Occupational factors contributed significantly to the increase in the probability of WA for men and women, with greater magnitude among those positioned in the lower strata of the occupational structure. The results obtained are clues for working out WA prevention actions.
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