Timonin Sergey, Adair Tim, Welsh Jennifer, Canudas-Romo Vladimir
School of Demography, Research School of Social Sciences, College of Arts and Social Sciences, Australian National University, Canberra, ACT, Australia; Centre of Epidemiology for Policy and Practice, National Centre for Epidemiology and Population Health, College of Law, Governance and Policy, Australian National University, Canberra, ACT, Australia.
Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia.
Lancet Public Health. 2025 Jul;10(7):e599-e608. doi: 10.1016/S2468-2667(25)00138-0.
Despite having one of the highest life expectancies in the world, Australia has considerable subnational variation in health. Our aim was to examine contemporary trends in area-based socioeconomic inequalities in life expectancy, including age-specific and cause-specific components.
In this ecological study, we used individual death records and estimated resident population (ERP) to calculate life expectancy and cause-specific life-years lost for each decile of the Australian Bureau of Statistics (ABS) Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD) for the whole population in Australia for 2013-22. We used the ABS Death Registrations data in the Person Linked Integrated Data Asset for individual-level records on all deaths that occurred and were registered in Australia, including year of death, age, sex, underlying cause of death, and Statistical Area Level 2 (SA2). We excluded death records in which SA2 was unknown and deaths and ERPs for people living in SA2 where IRSAD could not be defined due to small population counts. We measured inequality by the Slope Index of Inequality (SII) and the absolute gap between the most advantaged (D10) and most disadvantaged (D1) deciles.
Socioeconomic inequalities in life expectancy widened before reaching a maximum in 2016-18 at SII 4·7 years (95% CI 4·4-5·0) for females and in 2017-19 for males (6·8 years [6·4-7·1]), reflecting little improvement or even deterioration in life expectancy in the more disadvantaged areas. During the COVID-19 pandemic (from 2020) inequalities continued to narrow for males (they had begun to narrow just before the pandemic) but widened for females, largely due to COVID-19 mortality. The effect of other causes of death varied over time and differed by sex, with ischaemic heart disease, lung cancer, and chronic obstructive pulmonary disease consistently being the largest contributors to life expectancy inequalities.
Socioeconomic inequalities in life expectancy in Australia were larger in 2020-22 than in 2013-15, despite some reductions just before and during (for males only) the COVID-19 pandemic. Sustained public health efforts to prevent and manage specific chronic conditions, as well as to reduce premature mortality from injuries (particularly suicide and traffic accidents) and substance misuse among populations in the most disadvantaged areas are needed to reduce socioeconomic inequalities in life expectancy and further increase longevity in Australia FUNDING: Australian Research Council.
尽管澳大利亚是世界上预期寿命最高的国家之一,但其国内各地区的健康状况仍存在显著差异。我们的目的是研究基于地区的社会经济不平等在预期寿命方面的当代趋势,包括特定年龄和特定病因的组成部分。
在这项生态学研究中,我们使用个体死亡记录和估计常住人口(ERP)来计算澳大利亚统计局(ABS)相对社会经济优势和劣势指数(IRSAD)各十分位数人群在2013 - 2022年期间的预期寿命以及特定病因的寿命损失年数。我们使用了个人关联综合数据资产中的ABS死亡登记数据,以获取在澳大利亚发生并登记的所有死亡的个体层面记录,包括死亡年份、年龄、性别、潜在死因以及统计区域2级(SA2)。我们排除了SA2未知的死亡记录以及由于人口数量过少而无法定义IRSAD的SA2地区居民的死亡记录和ERP。我们通过不平等斜率指数(SII)以及最具优势(D10)和最弱势(D1)十分位数之间的绝对差距来衡量不平等程度。
预期寿命方面的社会经济不平等在2016 - 2018年达到最大值之前有所扩大,女性的SII为4.7年(95%置信区间4.4 - 5.0),男性在2017 - 2019年达到最大值(6.8年[6.4 - 7.1]),这反映出较弱势地区的预期寿命几乎没有改善甚至有所恶化。在新冠疫情期间(从2020年起),男性的不平等继续缩小(在疫情之前就已开始缩小),但女性的不平等却扩大了,这主要是由于新冠疫情导致的死亡。其他死因的影响随时间变化,且存在性别差异,缺血性心脏病、肺癌和慢性阻塞性肺疾病一直是预期寿命不平等的最大贡献因素。
尽管在新冠疫情之前及期间(仅针对男性)不平等有所减少,但2020 - 2022年澳大利亚预期寿命方面的社会经济不平等仍高于2013 - 2015年。需要持续开展公共卫生工作,以预防和管理特定慢性病,减少最弱势地区人群因伤害(特别是自杀和交通事故)和药物滥用导致的过早死亡,从而减少预期寿命方面的社会经济不平等,并进一步提高澳大利亚的人均寿命。资金来源:澳大利亚研究理事会。