Comprehensive Health Research Centre, Public Health Research Centre, National School of Public Health, NOVA University of Lisbon, Lisbon, Portugal; Public Health Unit, Local Health Unit Baixo Mondego, Figueira da Foz, Portugal.
Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary; Syreon Research Institute, Budapest, Hungary.
Lancet Public Health. 2024 Mar;9(3):e166-e177. doi: 10.1016/S2468-2667(24)00004-5.
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.
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.
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]).
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.
Research Council of Norway; Development, and Innovation Fund of Hungary; Norwegian Institute of Public Medicine; and COST Action 18218 European Burden of Disease Network.
健康不平等与预期寿命缩短有关。我们旨在调查欧洲经济区(EEA)国家在 COVID-19 大流行之前所有原因导致的生命损失年(YLL)的亚国家地理不平等,以及 YLL 与家庭收入、贫困风险和教育程度等社会经济因素之间的关联。
在这项生态研究中,我们从 Eurostat 提取了 EEA 32 个国家的 1390 个小地区和 285 个基本地区的人口统计学和社会经济数据,并通过对 EEA 内的次国家地区进行时间趋势分析进行了补充。根据全球疾病负担研究的方法,我们根据 2009 年至 2019 年的数据估计了每 100000 人年龄标准化的 YLL 率。使用基尼系数和不平等斜率指数评估地理不平等。通过使用负二项混合模型,研究了 2019 年社会经济因素(教育程度、家庭收入和贫困风险)与 YLL 之间的关联,评估了社会经济不平等。
2009 年 1 月 1 日至 2019 年 12 月 31 日期间,几乎所有的亚国家地区的 YLL 都有所下降。EEA 所有地区的 YLL 基尼系数为女性 14.2%(95%CI 13.6-14.8),男性 17.0%(16.3-17.7)。女性 YLL 相对地理不平等程度最高的是英国(基尼系数 11.2%[95%CI 10.1-12.3]),男性最高的是比利时(10.8%[9.3-12.2])。亚国家地区的 YLL 最高,教育程度最低(女性发病率比[IRR]1.19[1.13-1.26];男性 1.22[1.16-1.28]),家庭收入(1.35[95%CI 1.19-1.53])和最高贫困风险(1.25[1.18-1.34])。
EEA 国家内部和国家之间的 YLL 差异仍然存在,并与社会经济因素有关。这一证据可以帮助利益攸关方解决健康不平等问题,以改善 EEA 内的整体疾病负担。
挪威研究理事会;匈牙利发展与创新基金;挪威公共卫生研究所;和 COST 行动 18218 欧洲疾病负担网络。