Reversals in past long-term trends in educational inequalities in life expectancy for selected European countries

被引:5
|
作者
Zazueta-Borboa, Jesus Daniel [1 ,2 ]
Martikainen, Pekka [3 ]
Aburto, Jose Manuel [4 ,5 ,6 ,7 ]
Costa, Giuseppe [8 ]
Peltonen, Riina [9 ]
Zengarini, Nicolas [10 ]
Sizer, Alison [11 ]
Kunst, Anton E. [12 ]
Janssen, Fanny [1 ,2 ]
机构
[1] Univ Groningen, Netherlands Interdisciplinary Demog Inst KNAW, Aging & Longev, The Hague, Netherlands
[2] Univ Groningen, Fac Spatial Sci, Populat Res Ctr, Groningen, Netherlands
[3] Univ Helsinki, Fac Social Sci, Populat Res Unit, Helsinki, Finland
[4] London Sch Hyg & Trop Med, Dept Populat Hlth, London, England
[5] Univ Oxford, Dept Sociol, Oxford, England
[6] Univ Oxford, Nuffield Coll, Oxford, England
[7] Southern Denmark Univ, Interdisciplinary Ctr Populat Dynam, Odense, Denmark
[8] Univ Turin, Dept Publ Hlth & Microbiol, Turin, Italy
[9] Univ Helsinki, Dept Social Res, Helsinki, Finland
[10] ASL TO3 Piedmont Reg, Epidemiol Unit, Turin, Italy
[11] UCL, Dept Informat Studies, London, England
[12] Amsterdam UMC, Social Med, Locatie AMC, Amsterdam, Netherlands
基金
欧洲研究理事会; 芬兰科学院;
关键词
MORTALITY; Health inequalities; DEMOGRAPHY; MORTALITY; DECOMPOSITION; EXPLANATION; PERSISTENCE; POPULATION; ENGLAND; INCOME;
D O I
10.1136/jech-2023-220385
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundAcross Europe, socioeconomic inequalities in mortality are large and persistent. To better understand the drivers of past trends in socioeconomic mortality inequalities, we identified phases and potential reversals in long-term trends in educational inequalities in remaining life expectancy at age 30 (e30), and assessed the contributions of mortality changes among the low-educated and the high-educated at different ages. MethodsWe used individually linked annual mortality data by educational level (low, middle and high), sex and single age (30+) from 1971/1972 onwards for England and Wales, Finland and Italy (Turin). We applied segmented regression to trends in educational inequalities in e30 (e30 high-educated minus e30 low-educated) and employed a novel demographic decomposition technique. ResultsWe identified several phases and breakpoints in the trends in educational inequalities in e30. The long-term increases (Finnish men, 1982-2008; Finnish women, 1985-2017; and Italian men, 1976-1999) were driven by faster mortality declines among the high-educated aged 65-84, and by mortality increases among the low-educated aged 30-59. The long-term decreases (British men, 1976-2008, and Italian women, 1972-2003) were driven by faster mortality improvements among the low-educated than among the high-educated at age 65+. The recent stagnation of increasing inequality (Italian men, 1999) and reversals from increasing to decreasing inequality (Finnish men, 2008) and from decreasing to increasing inequality (British men, 2008) were driven by mortality trend changes among the low-educated aged 30-54. ConclusionEducational inequalities are plastic. Mortality improvements among the low-educated at young ages are imperative for achieving long-term decreases in educational inequalities in e30.
引用
收藏
页码:421 / 429
页数:9
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