Evidence map›Paper›PMID 31581296›Full record

ArticleInternational journal of epidemiology2020

Education inequalities in adult all-cause mortality: first national data for Australia using linked census and mortality data.

Rosemary J Korda, Nicholas Biddle, John Lynch, James Eynstone-Hinkins, Kay Soga, Emily Banks, Naomi Priest, Lynelle Moon, Tony Blakely

Abstract read
In one paragraph

Article in International journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
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  3. Inequalities in Mortality in the Asia-Pacific: A Cross-National Comparison of Socioeconomic Gradients.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
    Article
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  12. Article
  13. Intelligence, health and death.Nature human behaviour · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Rosemary J KordaNational Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra ACT, Australia.
Nicholas BiddleCentre for Social Research and Methods, Research School of Social Sciences, Australian National University, Canberra ACT, Australia.
John LynchSchool of Public Health, University of Adelaide, Adelaide, Australia.
James Eynstone-HinkinsHealth and Vital Statistics Section, Australian Bureau of Statistics, Brisbane, Australia.
Kay SogaNational Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra ACT, Australia.
Emily BanksNational Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra ACT, Australia.
Naomi PriestCentre for Social Research and Methods, Research School of Social Sciences, Australian National University, Canberra ACT, Australia.
Lynelle MoonAustralian Institute of Health and Welfare, Canberra, Australia.
Tony BlakelyMelbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNational linked mortality and census data have not previously been available for Australia. We estimated education-based mortality inequalities from linked census and mortality data that are suitable for international comparisons.

methodsWe used the Australian Bureau of Statistics Death Registrations to Census file, with data on deaths (2011-2012) linked probabilistically to census data (linkage rate 81%). To assess validity, we compared mortality rates by age group (25-44, 45-64, 65-84 years), sex and area-inequality measures to those based on complete death registration data. We used negative binomial regression to quantify inequalities in all-cause mortality in relation to five levels of education ['Bachelor degree or higher' (highest) to 'no Year 12 and no post-secondary qualification' (lowest)], separately by sex and age group, adjusting for single year of age and correcting for linkage bias and missing education data.

resultsMortality rates and area-based inequality estimates were comparable to published national estimates. Men aged 25-84 years with the lowest education had age-adjusted mortality rates 2.20 [95% confidence interval (CI): 2.08‒2.33] times those of men with the highest education. Among women, the rate ratio was 1.64 (1.55‒1.74). Rate ratios were 3.87 (3.38‒4.44) in men and 2.57 (2.15‒3.07) in women aged 25-44 years, decreasing to 1.68 (1.60‒1.76) in men and 1.44 (1.36‒1.53) in women aged 65-84 years. Absolute education inequalities increased with age. One in three to four deaths (31%) was associated with less than Bachelor level education.

conclusionsThese linked national data enabled valid estimates of education inequality in mortality suitable for international comparisons. The magnitude of relative inequality is substantial and similar to that reported for other high-income countries.

Indexed as

Educational StatusHealth Status DisparitiesMortalityAdultAgedAged, 80 and overAustraliaCause of DeathCensusesDeath CertificatesFemaleHumansMaleMiddle AgedAustraliacensuseducationhealth inequalitiesMortalitysocioeconomic position

Identifiers

PMID31581296
PMCPMC7266531

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.