Princeton University, USA.
University of Pennsylvania, USA.
Soc Sci Med. 2021 Mar;272:113712. doi: 10.1016/j.socscimed.2021.113712. Epub 2021 Jan 23.
Recent research has proposed that shifting education distributions across cohorts are influencing estimates of educational gradients in mortality. We use data from the United States and Finland covering four decades to explore this assertion. We base our analysis around our new finding: a negative logarithmic relationship between relative education and relative mortality. This relationship holds across multiple age groups, both sexes, two very different countries, and time periods spanning four decades. The inequality parameters from this model indicate increasing relative mortality differentials over time. We use these findings to develop a method that allows us to compute life expectancy for any given segment of the education distribution (e.g., education quintiles). We apply this method to Finnish and American data to compute life expectancy gradients that are adjusted for changes in the education distribution. In Finland, these distribution-adjusted education differentials in life expectancy between the top and bottom education quintiles have increased by two years for men, and remained stable for women between 1971 and 2010. Similar distribution-adjusted estimates for the U.S. suggest that educational disparities in life expectancy increased by 3.3 years for non-Hispanic white men and 3.0 years for non-Hispanic white women between the 1980s and 2000s. For men and women, respectively, these differentials between the top and bottom education quintiles are smaller than the differentials between the top and bottom education categories by 18% and 39% in the U.S. and by 39% and 100% in Finland. Had the relative inequality parameters of mortality governing the Finnish and U.S. populations remained constant at their earliest period values, the difference in life expectancy between the top and bottom education quintiles would - because of overall mortality reductions - have declined moderately. The findings suggest that educational expansion may bias estimates of trends in educational differences in life expectancy upwards.
最近的研究表明,教育分布在各队列之间的变化正在影响死亡率的教育梯度估计。我们使用来自美国和芬兰的四十年数据来探索这一说法。我们的分析基于我们的新发现:相对教育与相对死亡率之间存在负对数关系。这种关系在多个年龄组、两性、两个非常不同的国家和跨越四十年的时间段内都成立。该模型的不平等参数表明,随着时间的推移,相对死亡率差异不断增加。我们利用这些发现开发了一种方法,使我们能够为教育分布的任何给定部分(例如,教育五分位数)计算预期寿命。我们将该方法应用于芬兰和美国的数据,以计算调整教育分布变化后的预期寿命梯度。在芬兰,1971 年至 2010 年间,男女顶级和底层教育五分位数之间的预期寿命分布调整教育差异增加了两年。美国类似的分布调整估计表明,20 世纪 80 年代至 2000 年代期间,非西班牙裔白人男性和非西班牙裔白人女性的受教育程度差异导致预期寿命差距分别增加了 3.3 年和 3.0 年。对于男性和女性,分别是美国的最高和最低五分位数教育之间的差异比最高和最低教育类别的差异小 18%和 39%,而芬兰的差异比最高和最低教育类别的差异小 39%和 100%。如果控制芬兰和美国人口死亡率的相对不平等参数保持在最早时期的值不变,由于整体死亡率降低,最高和最低教育五分位数之间的预期寿命差异将适度下降。这些发现表明,教育扩张可能会使教育对预期寿命的差异趋势的估计向上偏倚。