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Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data

BACKGROUND: Socioeconomic inequalities in mortality are evident in all high-income countries, and ongoing monitoring is recommended using linked census-mortality data. Using such data, we provide the first estimates of education-related inequalities in cause-specific mortality in Australia, suitable...

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Autores principales: Welsh, Jennifer, Joshy, Grace, Moran, Lauren, Soga, Kay, Law, Hsei-Di, Butler, Danielle, Bishop, Karen, Gourley, Michelle, Eynstone-Hinkins, James, Booth, Heather, Moon, Lynelle, Biddle, Nicholas, Blakely, Antony, Banks, Emily, Korda, Rosemary J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743133/
https://www.ncbi.nlm.nih.gov/pubmed/34999874
http://dx.doi.org/10.1093/ije/dyab080
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author Welsh, Jennifer
Joshy, Grace
Moran, Lauren
Soga, Kay
Law, Hsei-Di
Butler, Danielle
Bishop, Karen
Gourley, Michelle
Eynstone-Hinkins, James
Booth, Heather
Moon, Lynelle
Biddle, Nicholas
Blakely, Antony
Banks, Emily
Korda, Rosemary J
author_facet Welsh, Jennifer
Joshy, Grace
Moran, Lauren
Soga, Kay
Law, Hsei-Di
Butler, Danielle
Bishop, Karen
Gourley, Michelle
Eynstone-Hinkins, James
Booth, Heather
Moon, Lynelle
Biddle, Nicholas
Blakely, Antony
Banks, Emily
Korda, Rosemary J
author_sort Welsh, Jennifer
collection PubMed
description BACKGROUND: Socioeconomic inequalities in mortality are evident in all high-income countries, and ongoing monitoring is recommended using linked census-mortality data. Using such data, we provide the first estimates of education-related inequalities in cause-specific mortality in Australia, suitable for international comparisons. METHODS: We used Australian Census (2016) linked to 13 months of Death Registrations (2016–17). We estimated relative rates (RR) and rate differences (RD, per 100 000 person-years), comparing rates in low (no qualifications) and intermediate (secondary school) with high (tertiary) education for individual causes of death (among those aged 25–84 years) and grouped according to preventability (25–74 years), separately by sex and age group, adjusting for age, using negative binomial regression. RESULTS: Among 13.9 M people contributing 14 452 732 person-years, 84 743 deaths occurred. All-cause mortality rates among men and women aged 25–84 years with low education were 2.76 [95% confidence interval (CI): 2.61–2.91] and 2.13 (2.01–2.26) times the rates of those with high education, respectively. We observed inequalities in most causes of death in each age-sex group. Among men aged 25–44 years, relative and absolute inequalities were largest for injuries, e.g. transport accidents [RR = 10.1 (5.4–18.7), RD = 21.2 (14.5–27.9)]). Among those aged 45–64 years, inequalities were greatest for chronic diseases, e.g. lung cancer [men RR = 6.6 (4.9–8.9), RD = 57.7 (49.7–65.8)] and ischaemic heart disease [women RR = 5.8 (3.7–9.1), RD = 20.2 (15.8–24.6)], with similar patterns for people aged 65–84 years. When grouped according to preventability, inequalities were large for causes amenable to behaviour change and medical intervention for all ages and causes amenable to injury prevention among young men. CONCLUSIONS: Australian education-related inequalities in mortality are substantial, generally higher than international estimates, and related to preventability. Findings highlight opportunities to reduce them and the potential to improve the health of the population.
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spelling pubmed-87431332022-01-11 Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data Welsh, Jennifer Joshy, Grace Moran, Lauren Soga, Kay Law, Hsei-Di Butler, Danielle Bishop, Karen Gourley, Michelle Eynstone-Hinkins, James Booth, Heather Moon, Lynelle Biddle, Nicholas Blakely, Antony Banks, Emily Korda, Rosemary J Int J Epidemiol Socioeconomic Inequalities BACKGROUND: Socioeconomic inequalities in mortality are evident in all high-income countries, and ongoing monitoring is recommended using linked census-mortality data. Using such data, we provide the first estimates of education-related inequalities in cause-specific mortality in Australia, suitable for international comparisons. METHODS: We used Australian Census (2016) linked to 13 months of Death Registrations (2016–17). We estimated relative rates (RR) and rate differences (RD, per 100 000 person-years), comparing rates in low (no qualifications) and intermediate (secondary school) with high (tertiary) education for individual causes of death (among those aged 25–84 years) and grouped according to preventability (25–74 years), separately by sex and age group, adjusting for age, using negative binomial regression. RESULTS: Among 13.9 M people contributing 14 452 732 person-years, 84 743 deaths occurred. All-cause mortality rates among men and women aged 25–84 years with low education were 2.76 [95% confidence interval (CI): 2.61–2.91] and 2.13 (2.01–2.26) times the rates of those with high education, respectively. We observed inequalities in most causes of death in each age-sex group. Among men aged 25–44 years, relative and absolute inequalities were largest for injuries, e.g. transport accidents [RR = 10.1 (5.4–18.7), RD = 21.2 (14.5–27.9)]). Among those aged 45–64 years, inequalities were greatest for chronic diseases, e.g. lung cancer [men RR = 6.6 (4.9–8.9), RD = 57.7 (49.7–65.8)] and ischaemic heart disease [women RR = 5.8 (3.7–9.1), RD = 20.2 (15.8–24.6)], with similar patterns for people aged 65–84 years. When grouped according to preventability, inequalities were large for causes amenable to behaviour change and medical intervention for all ages and causes amenable to injury prevention among young men. CONCLUSIONS: Australian education-related inequalities in mortality are substantial, generally higher than international estimates, and related to preventability. Findings highlight opportunities to reduce them and the potential to improve the health of the population. Oxford University Press 2021-06-14 /pmc/articles/PMC8743133/ /pubmed/34999874 http://dx.doi.org/10.1093/ije/dyab080 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the International Epidemiological Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Socioeconomic Inequalities
Welsh, Jennifer
Joshy, Grace
Moran, Lauren
Soga, Kay
Law, Hsei-Di
Butler, Danielle
Bishop, Karen
Gourley, Michelle
Eynstone-Hinkins, James
Booth, Heather
Moon, Lynelle
Biddle, Nicholas
Blakely, Antony
Banks, Emily
Korda, Rosemary J
Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data
title Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data
title_full Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data
title_fullStr Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data
title_full_unstemmed Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data
title_short Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data
title_sort education-related inequalities in cause-specific mortality: first estimates for australia using individual-level linked census and mortality data
topic Socioeconomic Inequalities
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743133/
https://www.ncbi.nlm.nih.gov/pubmed/34999874
http://dx.doi.org/10.1093/ije/dyab080
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