Lifespan Inequalities Group, Max Planck Institute for Demographic Research, Rostock, Germany.
Centre d'Estudis Demogràfics, Universitat Autònoma de Barcelona, Barcelona, Spain.
Demography. 2022 Feb 1;59(1):187-206. doi: 10.1215/00703370-9637380.
Lifespan variation is a key metric of mortality that describes both individual uncertainty about the length of life and heterogeneity in population health. We propose a novel and timely lifespan variation measure, which we call the cross-sectional average inequality in lifespan, or CAL†. This new index provides an alternative perspective on the analysis of lifespan inequality by combining the mortality histories of all cohorts present in a cross-sectional approach. We demonstrate how differences in the CAL† measure can be decomposed between populations by age and cohort to explore the compression or expansion of mortality in a cohort perspective. We apply these new methods using data from 10 low-mortality countries or regions from 1879 to 2013. CAL† reveals greater uncertainty in the timing of death than the period life table-based indices of variation indicate. Also, country rankings of lifespan inequality vary considerably between period and cross-sectional measures. These differences raise intriguing questions as to which temporal dimension is the most relevant to individuals when considering the uncertainty in the timing of death in planning their life courses.
寿命变化是衡量死亡率的一个关键指标,它描述了个体对寿命长短的不确定性和人口健康的异质性。我们提出了一种新颖而及时的寿命变化衡量指标,称为“寿命横截面上的平均不平等”(CAL)。这个新指数通过结合横截面上所有队列的死亡史,为寿命不平等的分析提供了一个替代视角。我们展示了如何通过年龄和队列将 CAL 度量的差异在人群之间进行分解,以从队列角度探索死亡率的压缩或扩展。我们使用了 1879 年至 2013 年来自 10 个低死亡率国家或地区的数据来应用这些新方法。CAL 揭示了死亡时间的不确定性比基于时期生命表的变异指数所表明的更大。此外,寿命不平等的国家排名在时期和横截面上的衡量标准之间存在很大差异。这些差异提出了一个有趣的问题,即当考虑到在规划人生轨迹时死亡时间的不确定性时,个体认为哪个时间维度最相关。