Evidence map›Paper›PMID 40827111›Full record

ArticleThe Medical journal of Australia2025

Socio-economic position and the prevalence of ten chronic diseases in Australia, 2021: a whole of population census data analysis.

Joanna Y Gong, Emily D Williams, Agus Salim, Spiros Fourlanos, Jonathan E Shaw, Dianna J Magliano

Abstract read
In one paragraph

Article in The Medical journal of Australia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Joanna Y GongBaker Heart and Diabetes Institute, Melbourne, VIC.ORCID 0000-0002-0702-5740
Emily D WilliamsKing's College London, London, United Kingdom.
Agus SalimBaker Heart and Diabetes Institute, Melbourne, VIC.
Spiros FourlanosThe Royal Melbourne Hospital, Melbourne, VIC.
Jonathan E ShawBaker Heart and Diabetes Institute, Melbourne, VIC.ORCID 0000-0002-6187-2203
Dianna J MaglianoBaker Heart and Diabetes Institute, Melbourne, VIC.

Funding

National Health and Medical Research CouncilNational Heart Foundation
6 · The paper itself

Abstract

objectivesTo investigate differences in the prevalence of specific chronic diseases in Australia by selected measures of socio-economic position, and by age group and sex, using representative national census population data. STUDY

designCross-sectional, whole of population study; analysis of 2021 Australian census data. PARTICIPANTS,

settingPeople aged 40 years or older for whom 2021 Australian census health status and socio-economic position-related data were available.

main outcome measuresAge-standardised prevalence of ten chronic diseases (arthritis, asthma, cancer, dementia, diabetes, heart disease, kidney disease, lung disease, mental health conditions, and stroke), by socio-economic position (Index of Relative Socio-economic Disadvantage [IRSD], income category, educational level, occupational grade), age group, and sex; mean change in prevalence across socio-economic position categories.

resultsHealth status responses and data that allowed IRSD categorisation were available for 11.3 million people aged 40 years or older (92% of all adults aged 40 years or older). The proportions of people who reported nine chronic diseases (exception: cancer) increased with increasing socio-economic disadvantage as measured by IRSD decile and income. The increases were less marked for people aged 80 years or older than for those aged 40-79 years, and more marked for women than men. For people aged 40-59 or 60-79 years, the increase in age-standardised chronic disease prevalence per one decile decrease in IRSD was greatest for lung disease in both women (40-59 years, 18.4% per decile; 60-79 years, 10.6% per decile) and men (40-59 years, 16.9% per decile; 60-79 years, 11.0% per decile). In people aged 80 years or older, the increase in prevalence per one decile decrease in IRSD was greatest for kidney disease in women (6.0% per decile) and for mental health conditions in men (7.1% per decile). The age-standardised prevalence of cancer decreased by 0.4-1.1% per one decile decrease in IRSD for all age groups and both sexes, except for men aged 40-59 years (increased by 0.1% per IRSD decile). Consistent relationships with educational level or occupational grade were not found.

conclusionsThe prevalence of chronic disease differs by socio-economic position, but the direction, magnitude, and consistency of the effect differs by disease, socio-economic position measure, age, and sex. Understanding the relationship between different socio-economic position measures and chronic diseases facilitates the formulation of directed interventions.

Indexed as

Social ClassAdultAgedAged, 80 and overAge DistributionAsthmaAustraliaCensusesChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeoplasmsPrevalenceChronic diseaseEpidemiologySocial determinants of healthSocioeconomic factors

Identifiers

PMID40827111
PMCPMC12620606

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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.