Mortality by education, occupational class and income in Finland in the 1990s and 2000s

IF 1.2 4区 社会学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Longitudinal and Life Course Studies Pub Date : 2020-10-01 DOI:10.1332/175795920x15923650647106
R. Hoffmann, Hannes Kröger, L. Tarkiainen, P. Martikainen
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引用次数: 1

Abstract

Differences in mortality by socio-economic position (SEP) are well established, but there is uncertainty as to which dimension of SEP is most important in what context. This study compares the relationship between three SEP dimensions and mortality in Finland, during the periods 1990–97 and 2000–07, and to existing results for Sweden. We use an 11% random sample from the Finnish population with information on education, occupational class, individual income and mortality (age groups 35–59 and 60–84) (n = 810,902; 274,316 deaths). Cox proportional hazard models produce hazard ratios (HR) for categories of SEP variables in bivariate and multivariate models. Multivariate HRs are smaller than bivariate HRs, but all dimensions have a net effect on mortality. Overall, income shows the steepest mortality gradient: HR = 2.49 among men in the lowest income quintile aged 35–59 in the 1990s. The importance of the various SEP dimensions is modified by gender and age group, reflecting the significance of gendered life course differences in analyses of health inequality. Except for the declining disadvantage of poor men aged 35–59, inequalities are very stable over time and similar between Finland and Sweden. In such studies, the use of only one SEP indicator functions well as a broad marker of SEP. However, only analyses of multiple dimensions allow for comprehensive measurements of SEP, take into account the fact that some SEP dimensions are mediated by others, and provide insights into the social mechanisms underlying the stable structure of inequalities in mortality.
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20世纪90年代和21世纪初芬兰按教育、职业阶层和收入划分的死亡率
不同社会经济地位(SEP)的死亡率差异已得到很好的证实,但在什么情况下,SEP的哪个维度最重要还不确定。本研究比较了芬兰1990–97年和2000–07年期间SEP三个维度与死亡率之间的关系,并与瑞典的现有结果进行了比较。我们使用了来自芬兰人口的11%随机样本,其中包含教育、职业类别、个人收入和死亡率(35-59岁和60-84岁年龄组)的信息(n=810902;274316例死亡)。Cox比例风险模型在双变量和多变量模型中产生SEP变量类别的风险比(HR)。多变量HR比双变量HR小,但所有维度对死亡率都有净影响。总体而言,收入显示出最大的死亡率梯度:20世纪90年代,35-59岁的最低收入五分之一男性的死亡率为2.49。不同SEP维度的重要性根据性别和年龄组进行了修改,反映了性别生命历程差异在健康不平等分析中的重要性。除了35-59岁的贫困男性的劣势在下降之外,随着时间的推移,不平等现象非常稳定,芬兰和瑞典之间的情况相似。在这类研究中,仅使用一个SEP指标是SEP的广泛标志。然而,只有多个维度的分析才能对SEP进行全面测量,考虑到一些SEP维度是由其他维度介导的,并深入了解死亡率不平等稳定结构背后的社会机制。
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来源期刊
CiteScore
2.50
自引率
11.10%
发文量
43
期刊最新文献
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