Agència de Salut Pública de Barcelona, Barcelona (ASPB), Spain; Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain.
Agència de Salut Pública de Barcelona, Barcelona (ASPB), Spain; Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Departament de Cièncias Experimentales i de la Salut, Facultat de Ciències de la Salut i de la Vida, Universitat Pompeu Fabra, Barcelona, Spain.
Gac Sanit. 2022 Nov-Dec;36(6):520-525. doi: 10.1016/j.gaceta.2021.11.008. Epub 2022 Mar 22.
To analyse the gap in life expectancy by educational level in the city of Barcelona from 2004 to 2018 and to decompose this gap by age and causes of death.
We computed abridged life tables at the age of 25 years by sex from 2004 to 2018 using standard methods. Educational level was categorised in two groups (lower secondary or less vs. upper secondary or higher education). The life expectancy gap was further decomposed by age and by causes of death based in Arriaga's method in 5-year age blocks up to the age of ≥ 90 years and broad causes of death using ICD-10 codes.
The life expectancy gap at 25 years by educational level oscillated without trend at around 3.08 years for men and 1.93 years for women. Decomposition by age showed a favourable significant shift in the contribution to this gap from young to older ages for men, with few changes for women. Decomposition by causes of death showed that the diseases concentrating the largest share of the contribution were neoplasms and respiratory and circulatory disease. There was a significant downward trend in external causes for men and in infectious diseases for both men and women but a significant upward trend for respiratory disease for both sexes.
The stability of the life expectancy gap by educational level during the period analysed resulted from a combination of divergent trends by age and causes of death among high and low educational levels.
分析 2004 年至 2018 年巴塞罗那市按教育水平划分的预期寿命差距，并按年龄和死因对这一差距进行分解。
我们使用标准方法计算了 2004 年至 2018 年按性别和年龄为 25 岁的简略生命表。教育水平分为两组（中学以下或更低 vs. 中学以上或更高教育）。根据 Arriaga 方法，在 5 岁年龄组中进一步按年龄和死因分解预期寿命差距，在 90 岁及以上年龄和广泛死因中使用 ICD-10 编码。
按教育水平划分的 25 岁预期寿命差距在男性约为 3.08 年，女性约为 1.93 年，呈无趋势波动。按年龄分解表明，男性对这一差距的贡献从年轻到老年的有利显著转变，而女性则几乎没有变化。按死因分解表明，集中了最大贡献份额的疾病是肿瘤、呼吸和循环系统疾病。男性的外部原因和男女的传染病呈显著下降趋势，但男女的呼吸系统疾病呈显著上升趋势。
在分析期间，教育水平预期寿命差距的稳定性是由高、低教育水平之间的年龄和死因的不同趋势共同作用的结果。
