Evidence map›Paper›PMID 42290016›Full record

ArticleThe Australian journal of rural health2026

Mapping the Aggregated Behavioural Risk Factors for Colorectal Cancer by Small Areas Across Australia.

Belinda C Goodwin, Larry S Myers, Nicole Perry, Jessica K Cameron, Peter Baade, Matthew Browne, Beatrice Murawski, Louisa G Collins

Abstract read
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Article in The Australian journal of rural health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Belinda C GoodwinViertel Cancer Research Centre, Cancer Council Queensland, Fortitude Valley, Queensland, Australia.ORCID 0000-0002-3425-4848
Larry S MyersViertel Cancer Research Centre, Cancer Council Queensland, Fortitude Valley, Queensland, Australia.
Nicole PerryViertel Cancer Research Centre, Cancer Council Queensland, Fortitude Valley, Queensland, Australia.
Jessica K CameronViertel Cancer Research Centre, Cancer Council Queensland, Fortitude Valley, Queensland, Australia.
Peter BaadeViertel Cancer Research Centre, Cancer Council Queensland, Fortitude Valley, Queensland, Australia.
Matthew BrowneSchool of Medical, Health & Applied Sciences, Central Queensland University, Norman Gardens, Queensland, Australia.
Beatrice MurawskiViertel Cancer Research Centre, Cancer Council Queensland, Fortitude Valley, Queensland, Australia.
Louisa G CollinsViertel Cancer Research Centre, Cancer Council Queensland, Fortitude Valley, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDisparities in colorectal cancer exist for incidence and survival in disadvantaged and rural areas. This study created a composite indicator of multiple modifiable risk factors for colorectal cancer to visualise relative prevalence across Australia at the small-area level and by socio-economic status.

designCross-sectional ecological analysis.

settingThe Australian 2020-2021 National Health Survey.

participants9796 participants sampled from the Australian adult population (18 years +), living in 2350 small areas.

methodsData on the prevalence of smoking, alcohol consumption, body mass index, and physical activity were used to generate colorectal cancer risk index scores. Index scores were calculated for each person, and mean scores were created for each small area using Bayesian spatial modelling. Index scores were compared across area-level socio-economic quintiles and geographical remoteness subgroups.

resultsAlthough limited data was available in remote areas, observed patterns indicated that locations outside of major cities tended to have moderate-to-high index scores (mean 0.44, SD 0.25), while major cities showed higher proportions of areas with lower but more variable scores overall (mean 0.34 SD 0.21). Risk scores were higher in disadvantaged areas (0.39, SD 0.21) than advantaged areas (0.33. SD 0.21). This trend was consistent across education, occupation, and economic resources indices.

conclusionPeople living further away from major cities and in socioeconomically disadvantaged areas may be more likely to have multiple modifiable health behaviours for colorectal cancer. When applied to a geographically representative dataset, the Index may be used to inform targeted health promotion interventions and localised community-based actions to reduce colorectal cancer risk and close the socio-economic and geographical gaps in incidence and mortality.

Indexed as

Colorectal NeoplasmsHealth BehaviorRural PopulationAdultAgedAustraliaCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedPrevalenceRisk FactorsSmokingSocioeconomic Disparities in HealthAustraliacolorectal neoplasmshealth status disparitiesrisk factorsrural populationsocioeconomic factors

Identifiers

PMID42290016
PMCPMC13266280

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LicenceCC BY-NC-ND
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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.