TY - JOUR
AU - Chen-Xu, José
AU - Varga, Orsolya
AU - Mahrouseh, Nour
AU - Eikemo, Terje Andreas
AU - Grad, Diana A
AU - Wyper, Grant M.A.
AU - Badache, Andreea
AU - Balaj, Mirza
AU - Charalampous, Periklis
AU - Economou, Mary
AU - Haagsma, Juanita A.
AU - Haneef, Romana
AU - Mechili, Enkeleint A.
AU - Unim, Brigid
AU - Baravelli, Carl Michael
AU - Von der Lippe, Elena
PY - 2024
DA - February
TI - Subnational inequalities in years of life lost and associations with socioeconomic factors in pre-pandemic Europe, 2009–19: an ecological study
JO - Lancet Public Health
EP - e177
VL - 9
IS - 3
DO - http://dx.doi.org/10.1016/S2468-2667(24)00004-5
AB - Background: Health inequalities have been associated with shorter lifespans. We aimed to investigate subnational geographical inequalities in all-cause years of life lost (YLLs) and the association between YLLs and socioeconomic factors, such as household income, risk of poverty, and educational attainment, in countries within the European Economic Area (EEA) before the COVID-19 pandemic. Methods: In this ecological study, we extracted demographic and socioeconomic data from Eurostat for 1390 small regions and 285 basic regions for 32 countries in the EEA, which was complemented by a time-trend analysis of subnational regions within the EEA. Age-standardised YLL rates per 100 000 population were estimated from 2009 to 2019 based on methods from the Global Burden of Disease study. Geographical inequalities were assessed using the Gini coefficient and slope index of inequality. Socioeconomic inequalities were assessed by investigating the association between socioeconomic factors (educational attainment, household income, and risk of poverty) and YLLs in 2019 using negative binomial mixed models. Findings: Between Jan 1, 2009, and Dec 31, 2019, YLLs lowered in almost all subnational regions. The Gini coefficient of YLLs across all EEA regions was 14·2% (95% CI 13·6–14·8) for females and 17·0% (16·3 to 17·7) for males. Relative geographical inequalities in YLLs among women were highest in the UK (Gini coefficient 11·2% [95% CI 10·1–12·3]) and among men were highest in Belgium (10·8% [9·3–12·2]). The highest YLLs were observed in subnational regions with the lowest levels of educational attainment (incident rate ratio [IRR] 1·19 [1·13–1·26] for females; 1·22 [1·16–1·28] for males), household income (1·35 [95% CI 1·19–1·53]), and the highest poverty risk (1·25 [1·18–1·34]). Interpretation: Differences in YLLs remain within, and between, EEA countries and are associated with socioeconomic factors. This evidence can assist stakeholders in addressing health inequities to improve overall disease burden within the EEA.
PB - Elsevier
UR - https://eprints.gla.ac.uk/321716/
KW - Coronavirus (COVID-19)
KW - Socioeconomic factors
ER