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Shape of the association between income and mortality: a cohort study of Denmark, Finland, Norway and Sweden in 1995 and 2003.收入与死亡率之间关联的形态:1995年和2003年丹麦、芬兰、挪威及瑞典的队列研究
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Changes in mortality inequalities over two decades: register based study of European countries.二十年间死亡率不平等的变化:基于登记数据对欧洲国家的研究
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What causes health inequality? A systematic review on the relative importance of social causation and health selection.健康不平等的成因是什么?关于社会因果关系和健康选择相对重要性的系统综述。
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Calculating population attributable fraction for cardiovascular risk factors using different methods in a population based cohort study.在一项基于人群的队列研究中,使用不同方法计算心血管危险因素的人群归因分数。
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Patterns and causes of health inequalities in later life: a Bourdieusian approach.晚年健康不平等的模式与成因:一种布迪厄主义方法
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Trends in inequalities in premature mortality: a study of 3.2 million deaths in 13 European countries.不平等导致的过早死亡率变化趋势:对 13 个欧洲国家 320 万人死亡的研究。
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Skills, education, and the rise of earnings inequality among the "other 99 percent".技能、教育与“其他 99%”人群的收入不平等加剧
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社会分层维度及其与死亡率的关系:芬兰不同性别和生命历程阶段的比较

Dimensions of Social Stratification and Their Relation to Mortality: A Comparison Across Gender and Life Course Periods in Finland.

作者信息

Hoffmann Rasmus, Kröger Hannes, Tarkiainen Lasse, Martikainen Pekka

机构信息

1European University Institute, Via Dei Roccettini 9, 50014 San Domenico di Fiesole, Italy.

2Max Planck Institute for Demographic Research, Konrad-Zuse-Straße 1, 18057 Rostock, Germany.

出版信息

Soc Indic Res. 2019;145(1):349-365. doi: 10.1007/s11205-019-02078-z. Epub 2019 Mar 18.

DOI:10.1007/s11205-019-02078-z
PMID:31363299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6620240/
Abstract

Differences in mortality between groups with different socioeconomic positions (SEP) are well-established, but the relative contribution of different SEP measures is unclear. This study compares the correlation between three SEP dimensions and mortality, and investigates differences between gender and age groups (35-59 vs. 60-84). We use an 11% random sample with an 80% oversample of deaths from the Finnish population with information on education, occupational class, individual income, and mortality (n = 496,658; 274,316 deaths between 1995 and 2007). We estimate bivariate and multivariate Cox proportional hazard models and population attributable fractions. The total effects of education are substantially mediated by occupation and income, and the effects of occupation is mediated by income. All dimensions have their own net effect on mortality, but income shows the steepest mortality gradient (HR 1.78, lowest vs. highest quintile). Income is more important for men and occupational class more important among elderly women. Mortality inequalities are generally smaller in older ages, but the relative importance of income increases. In health inequality studies, the use of only one SEP indicator functions well as a broad marker of SEP. However, only analyses of multiple dimensions allow insights into social mechanisms and how they differ between population subgroups.

摘要

社会经济地位(SEP)不同的群体之间的死亡率差异已得到充分证实,但不同SEP衡量指标的相对贡献尚不清楚。本研究比较了三个SEP维度与死亡率之间的相关性,并调查了性别和年龄组(35 - 59岁与60 - 84岁)之间的差异。我们使用了芬兰人口11%的随机样本,并对死亡数据进行了80%的过采样,样本包含教育程度、职业类别、个人收入和死亡率等信息(n = 496,658;1995年至2007年间有274,316例死亡)。我们估计了双变量和多变量Cox比例风险模型以及人群归因分数。教育的总体影响在很大程度上由职业和收入介导,职业的影响由收入介导。所有维度对死亡率都有各自的净影响,但收入显示出最陡峭的死亡率梯度(风险比1.78,最低五分位数与最高五分位数相比)。收入对男性更重要,职业类别对老年女性更重要。死亡率不平等在老年人群中总体较小,但收入的相对重要性增加。在健康不平等研究中,仅使用一个SEP指标可以很好地作为SEP的广泛标志。然而,只有对多个维度进行分析才能深入了解社会机制以及它们在不同人群亚组之间的差异。