Trias-Llimós Sergi, Spijker Jeroen J A, Blanes Amand, Permanyer Iñaki
Centre d'Estudis Demogràfics, Centres de Recerca de Catalunya (CERCA), Carrer de Ca n'Altayó, Edifici E2, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.
ICREA, Passeig Lluís Companys 23, 08010, Barcelona, Spain.
SSM Popul Health. 2023 Jul 7;23:101461. doi: 10.1016/j.ssmph.2023.101461. eCollection 2023 Sep.
We aim to assess the age- and cause-specific contributions to differences in life expectancy and lifespan variation between the high- and low-educated groups in Spain.
We use sex-, age-, education- and cause-specific mortality and population data for individuals aged 30 and over for 2016-19 in Spain. We estimated life expectancies, and standard deviations of the age-at-death distribution (lifespan variation), and we disentangled the contribution of age-causes of death to educational differences in both indicators.
Life expectancy at age 30 was higher for high-educated groups compared to low-educated groups, 5.5 years for males and 3.0 years for females. Lifespan variation was higher for low-educated groups compared to high-educated groups, 2.9 years for males and 2.2 years for females. The main contributors to the life expectancy gaps in males were lung cancer (0.58 years) and ischaemic heart diseases (0.42 years), and in females were other cardiovascular causes (0.26 years), and ischaemic heart diseases (0.22 years). The main contributors to the lifespan variation gaps were in males lung cancer (-0.25 years) and ischaemic heart diseases (-0.22 years), while in females were other neoplasms and other diseases of the nervous system.
Whereas behavioural causes are more important in explaining educational inequalities in mortality among men, ageing-related causes of death seem more important among women. Attempts at narrowing socioeconomic gaps in mortality may benefit from applying gender-specific preventive policy measures.
我们旨在评估年龄和死因对西班牙高学历和低学历群体预期寿命差异以及寿命变化的影响。
我们使用了2016 - 19年西班牙30岁及以上人群按性别、年龄、教育程度和死因分类的死亡率及人口数据。我们估计了预期寿命以及死亡年龄分布的标准差(寿命变化),并剖析了年龄别死因对这两个指标教育差异的影响。
30岁时,高学历群体的预期寿命高于低学历群体,男性高出5.5岁,女性高出3.0岁。低学历群体的寿命变化高于高学历群体,男性高出2.9岁,女性高出2.2岁。男性预期寿命差距的主要贡献因素是肺癌(0.58岁)和缺血性心脏病(0.42岁),女性则是其他心血管病因(0.26岁)和缺血性心脏病(0.22岁)。寿命变化差距的主要贡献因素,男性是肺癌(-0.25岁)和缺血性心脏病(-0.22岁),而女性是其他肿瘤和其他神经系统疾病。
行为原因在解释男性死亡率的教育不平等方面更为重要,而与衰老相关的死因在女性中似乎更为重要。缩小死亡率方面的社会经济差距的努力可能受益于应用针对性别的预防政策措施。