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Reversals in past long-term trends in educational inequalities in life expectancy for selected European countries
BACKGROUND: Across 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 expecta...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314064/ https://www.ncbi.nlm.nih.gov/pubmed/37173136 http://dx.doi.org/10.1136/jech-2023-220385 |
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author | Zazueta-Borboa, Jesus Daniel Martikainen, Pekka Aburto, Jose Manuel Costa, Giuseppe Peltonen, Riina Zengarini, Nicolas Sizer, Alison Kunst, Anton E Janssen, Fanny |
author_facet | Zazueta-Borboa, Jesus Daniel Martikainen, Pekka Aburto, Jose Manuel Costa, Giuseppe Peltonen, Riina Zengarini, Nicolas Sizer, Alison Kunst, Anton E Janssen, Fanny |
author_sort | Zazueta-Borboa, Jesus Daniel |
collection | PubMed |
description | BACKGROUND: Across 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. METHODS: We 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. RESULTS: We 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. CONCLUSION: Educational inequalities are plastic. Mortality improvements among the low-educated at young ages are imperative for achieving long-term decreases in educational inequalities in e30. |
format | Online Article Text |
id | pubmed-10314064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-103140642023-07-02 Reversals in past long-term trends in educational inequalities in life expectancy for selected European countries Zazueta-Borboa, Jesus Daniel Martikainen, Pekka Aburto, Jose Manuel Costa, Giuseppe Peltonen, Riina Zengarini, Nicolas Sizer, Alison Kunst, Anton E Janssen, Fanny J Epidemiol Community Health Original Research BACKGROUND: Across 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. METHODS: We 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. RESULTS: We 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. CONCLUSION: Educational inequalities are plastic. Mortality improvements among the low-educated at young ages are imperative for achieving long-term decreases in educational inequalities in e30. BMJ Publishing Group 2023-07 2023-04-26 /pmc/articles/PMC10314064/ /pubmed/37173136 http://dx.doi.org/10.1136/jech-2023-220385 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Zazueta-Borboa, Jesus Daniel Martikainen, Pekka Aburto, Jose Manuel Costa, Giuseppe Peltonen, Riina Zengarini, Nicolas Sizer, Alison Kunst, Anton E Janssen, Fanny Reversals in past long-term trends in educational inequalities in life expectancy for selected European countries |
title | Reversals in past long-term trends in educational inequalities in life expectancy for selected European countries |
title_full | Reversals in past long-term trends in educational inequalities in life expectancy for selected European countries |
title_fullStr | Reversals in past long-term trends in educational inequalities in life expectancy for selected European countries |
title_full_unstemmed | Reversals in past long-term trends in educational inequalities in life expectancy for selected European countries |
title_short | Reversals in past long-term trends in educational inequalities in life expectancy for selected European countries |
title_sort | reversals in past long-term trends in educational inequalities in life expectancy for selected european countries |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314064/ https://www.ncbi.nlm.nih.gov/pubmed/37173136 http://dx.doi.org/10.1136/jech-2023-220385 |
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