{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T05:48:09Z","timestamp":1782539289618,"version":"3.54.5"},"reference-count":37,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T00:00:00Z","timestamp":1781395200000},"content-version":"vor","delay-in-days":13,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Australian J Rural Health"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Disparities 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\u2010area level and by socio\u2010economic status.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Cross\u2010sectional ecological analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>The Australian 2020\u20132021 National Health Survey.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>9796 participants sampled from the Australian adult population (18\u2009years +), living in 2350 small areas.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data 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\u2010level socio\u2010economic quintiles and geographical remoteness subgroups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Although limited data was available in remote areas, observed patterns indicated that locations outside of major cities tended to have moderate\u2010to\u2010high 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>People 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\u2010based actions to reduce colorectal cancer risk and close the socio\u2010economic and geographical gaps in incidence and mortality.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ajr.70221","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T05:55:59Z","timestamp":1781502959000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mapping the Aggregated Behavioural Risk Factors for Colorectal Cancer by Small Areas Across Australia"],"prefix":"10.1111","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3425-4848","authenticated-orcid":false,"given":"Belinda C.","family":"Goodwin","sequence":"first","affiliation":[{"name":"Viertel Cancer Research Centre Cancer Council Queensland  Fortitude Valley Queensland 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