Regional inequalities in years of life lost within the European Economic Area: Using the Gini coefficient and slope index of inequality to assess spatial disparities

Abstract Background Health inequalities have been linked to reduced life expectations. This study aimed to investigate regional variations in all-cause years of life lost (YLLs) in European Economic Area (EEA) countries prior to the COVID-19 pandemic. Methods Demographic data were extracted from Eurostat for 1390 small regions 32 EEA countries. Age-standardised sex specific YLL rates per 100,000 population in 2019 were estimated for EEA regions (Eurostat NUTS level 3) using methodologies derived from the Global Burden of Disease study. Relative spatial disparities were evaluated using the Gini coefficient (GC) and absolute spatial disparities assessed using the slope index of inequality (SII). Results Between EEA countries, relative geographical inequality in age-standardized YLL rates was higher than within them, slightly more so for males (GC = 16.96% [95% CI = 16.26-17.65]) than females (14.22% [13.62-14.82]). Among females, the UK (11.21% [95% CI 10.11-12.30]), Greece, and Croatia had the highest relative spatial inequality, while Ireland (3.37% [2.26-4.48]), Slovakia, and the Netherlands had the lowest. For males, Belgium (10.76% [9.34-12.17]), the UK, and Croatia exhibited the highest relative spatial inequality, while Ireland (1.99% [1.18-2.81]), Lithuania, and Slovakia had the lowest. Germany had the largest absolute geographical inequality in YLLs among females (SII=16.86% [16.28 to 17.44]), followed by Estonia and the UK. Among males, Estonia had the largest absolute spatial inequality (36.60% [-10.88 to 84.07]), followed by Latvia and Hungary. Ireland had the lowest absolute spatial inequality for both females and males. Conclusions Relative and absolute disparities in premature mortality rates are evident across regions of the EEA, both within countries and across the entire region. These findings offer insights for national and local stakeholders, aiding them in customising public health interventions to target spatial health disparities.