Rehabilitation Foundation, Finland.
Social Insurance Institution of Finland.
Scand J Public Health. 2021 Mar;49(2):237-244. doi: 10.1177/1403494820960653. Epub 2020 Nov 6.
Most high mortality-risk occupations are manual occupations. We examined to what extent high mortality of such occupations could be explained by education, income, unemployment or industry and whether there were differences in these effects among different manual occupations.
We used longitudinal individual-level register-based data, the study population consisting of employees aged 30-64 at the end of the year 2000 with the follow-up period 2001-2015. We used Cox proportional hazard regression models in 31 male and 11 female occupations with high mortality.
There were considerable differences between manual occupations in how much adjusting for education, income, unemployment and industry explained the excess mortality. The variation was especially large among men: controlling for these variables explained over 50% of the excess mortality in 23 occupations. However, in some occupations the excess mortality even increased in relation to unadjusted mortality. Among women, these variables explained a varying proportion of the excess mortality in every occupation. After adjustment of all variables, mortality was no more statistically significantly higher than average in 14 occupations among men and 2 occupations among women.
The high mortality in manual occupations was mainly explained by education, income, unemployment and industry. However, the degree of explanation varied widely between occupations, and considerable variation in mortality existed between manual occupations after controlling for these variables. More research is needed on other determinants of mortality in specific high-risk occupations.
大多数高死亡率风险职业都是体力劳动职业。本研究旨在探讨这些职业的高死亡率在多大程度上可以归因于教育、收入、失业或行业,并分析这些因素对不同体力劳动职业的影响是否存在差异。
我们使用了基于个体层面的纵向登记数据,研究人群为 2000 年底年龄在 30-64 岁之间、随访期为 2001-2015 年的员工。我们在 31 个男性和 11 个女性高死亡率职业中使用了 Cox 比例风险回归模型。
在体力劳动职业中,调整教育、收入、失业和行业因素对超额死亡率的解释程度存在显著差异。这种差异在男性中尤为明显:在 23 个职业中,控制这些变量可以解释超过 50%的超额死亡率。然而,在某些职业中,与未经调整的死亡率相比,超额死亡率甚至有所增加。在女性中,这些变量在每个职业中都解释了超额死亡率的不同比例。在调整所有变量后,14 个男性职业和 2 个女性职业的死亡率与平均水平相比不再具有统计学显著性差异。
体力劳动职业的高死亡率主要归因于教育、收入、失业和行业因素。然而,各职业之间的解释程度差异很大,而且在控制这些变量后,体力劳动职业之间的死亡率存在相当大的差异。需要进一步研究特定高风险职业中其他死亡率决定因素。