Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data
| Autor: | Lynelle Moon, Emily Banks, Nicholas Biddle, Jennifer Welsh, James Eynstone-Hinkins, Grace Joshy, Lauren V. Moran, Kay Soga, Michelle Gourley, Karen Bishop, Danielle Butler, Heather Booth, Hsei Di Law, A Blakely, Rosemary J. Korda |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Higher education Inequality Epidemiology cause-specific mortality media_common.quotation_subject Population 030209 endocrinology & metabolism Socioeconomic Inequalities 03 medical and health sciences 0302 clinical medicine Cause of Death Injury prevention Humans Medicine AcademicSubjects/MED00860 030212 general & internal medicine education Aged media_common Aged 80 and over education.field_of_study business.industry Mortality rate International comparisons Australia Cause specific mortality Censuses socioeconomic position health inequalities linked data General Medicine Middle Aged Census mortality Confidence interval Socioeconomic Factors Educational Status Female business Demography |
| Zdroj: | International Journal of Epidemiology |
| ISSN: | 1464-3685 0300-5771 |
| Popis: | BackgroundSocioeconomic 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 first estimates of education-related inequalities in cause-specific mortality in Australia, suitable for international comparisons.MethodsUsing Australian Census (2016) linked to 13-months of Death Registrations data (2016-17), we estimated relative rates (RR) and rate differences (RD, per100 000 person-years), comparing rates in low (no qualifications) and intermediate (secondary school) with high education (tertiary), for individual causes of death (among those 25-84y) and grouped according to preventability (25-74y), separately by sex and age group, adjusting for age, using negative binomial regression.ResultsAmong 13.9M people contributing 14 452 732 person-years, 84 743 deaths occurred. We observed inequalities in most causes of death for each age-sex group. Among men aged 25-44y, absolute and relative inequalities (low versus high education) were largest for injuries, e.g. transport accidents (RR=10.1 [95%CI: 5.4-18.7], RD=21.1 [15.9-26.3]). Among those aged 45-64y, inequalities were greatest for chronic diseases, e.g. lung cancer (men RR=6.6 [4.9-8.9], RD=55.6 [51.1-60.1]) and ischaemic heart disease (women RR=5.8 [3.7-9.1], RD=19.2 [17.0-21.5]), with similar patterns for people aged 65-84y. 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.ConclusionsAustralian 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.Key messagesUsing linked Australian Census (2016) and Death Registrations data (2016-17), we provide the first estimates of education-related inequalities in cause-specific mortality for Australia, broadly suitable for international comparisons.Among men aged 25-44 years, inequalities were largest for injuries, with mortality rates among those with low education six-to-ten times that of those with high education. Among the mid- and older-age groups, inequalities were largest for chronic diseases, where mortality rates among those with the lowest education were between two- and seven-times those with the highest education.In 2016-17, around half of all deaths for men and one-third of deaths for women aged 25-84 were associated with less than tertiary education. The majority of these excess deaths were attributable to leading causes.The substantial inequalities seen in preventable deaths highlight ongoing opportunities to reduce inequalities in mortality and to improve the overall health of the Australian population.Australian estimates are generally consistent with, but higher than, those for comparable countries and earlier time periods, but further standardisation of methods and reporting would enhance the validity of such comparisons |
| Databáze: | OpenAIRE |
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