From the Conservatoire national des arts et metiers, Paris, France.
Inserm U900, In-stitut Curie, Saint Cloud, France.
Epidemiology. 2019 Jul;30(4):569-572. doi: 10.1097/EDE.0000000000001022.
Quantifying socioeconomic inequalities in health in absolute terms is of prime interest for decision-making and for international comparisons. The Slope Index of Inequality (SII), an index that quantifies absolute socioeconomic inequalities, was recently formalized, particularly in the context of mortality differences measured in the rate or hazard scale. However, absolute inequalities using either rates or hazards do not translate into a time dimension, which makes their interpretation difficult for policymakers. We propose an extension of the (Equation is included in full-text article.)in terms of the expected number of life years lost before an upper age, as well as its decomposition by cause of death. The (Equation is included in full-text article.)in the life years lost metric quantifies the extent to which life expectancy is shortened when comparing the higher and lower ends of the socioeconomic scale. The methodology proposed builds on recent developments in survival analysis for decomposing the number of life years lost according to cause of death using a pseudo-value approach. We illustrate our proposal using a representative 1% sample of the French population. On average, the least educated men lost 7 years of life from age 30 up to age 90 compared to the most educated. The loss for women is twice as much with 3.5 years. The (Equation is included in full-text article.)in the life years lost metric is easily understood, and the decomposition of the all-cause mortality (Equation is included in full-text article.)into parts attributable to given causes provides a sound estimation of the burden of different causes of death on absolute socioeconomic inequalities in mortality.
从绝对意义上衡量健康的社会经济不平等程度,对于决策和国际比较至关重要。斜率指数不平等(SII)是一种衡量绝对社会经济不平等的指数,最近已经得到了正式化,特别是在死亡率差异的比率或风险尺度上。然而,使用比率或风险衡量的绝对不平等并不能转化为时间维度,这使得政策制定者难以理解。我们提出了一种扩展(方程包含在全文中),以期望在达到上限年龄之前失去的生命年数,以及按死因进行的分解。在生命年数损失指标中,衡量了在比较社会经济规模的高低端时,预期寿命缩短的程度。所提出的方法基于生存分析的最新进展,使用伪值方法根据死因分解失去的生命年数。我们使用法国人口的代表性 1%样本来说明我们的建议。平均而言,与受教育程度最高的人相比,受教育程度最低的男性从 30 岁到 90 岁失去了 7 年的生命。女性的损失是两倍,为 3.5 年。在生命年数损失指标中,(方程包含在全文中)很容易理解,并且将全因死亡率(方程包含在全文中)分解为归因于特定原因的部分,为不同死因对死亡率的绝对社会经济不平等造成的负担提供了合理的估计。