ArticleSSM - population health2023
Age and cause-of-death contributions to educational inequalities in life expectancy and lifespan variation in a low-mortality country: A cross-sectional study of 1.67 million deaths in Spain (2016-19).
Article in SSM - population health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- The role of cardiovascular risk factors on educational and regional inequalities in mortality in Spain 2016-2022: An analysis using multiple causes of death.SSM - population health · 2026Article
- Predictors of tobacco smoking among youth in an urban slum in Kampala, Uganda: A cross-sectional study.PloS one · 2026Article
- The health production function in South Asia: panel evidence on education, health expenditure, governance, and longevity.Frontiers in public health · 2026Article
- The Gender Gap in Life Expectancy in the United States and Deaths of Despair: Trends from 1979 to 2022.Population and development review · 2025Article
- Tobacco use patterns and associated factors among youth in Kampala's informal settlements: a cross-sectional study in Bwaise.BMC public health · 2025Article
- Educational inequalities in dementia-related mortality using a multiple cause of death approach and their contribution to life expectancy differences in Spain.Scientific reports · 2025Article
- All-cause and cause-specific mortality attributable to educational inequalities in Spain.BMC public health · 2025Article
- Reassessing socioeconomic inequalities in mortality via distributional similarities.Population health metrics · 2025Article
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Authors and funding
4 authors.
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Abstract
Background: 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. Methods: 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. Findings: 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. Interpretation: 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.
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