{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T09:04:41Z","timestamp":1780391081337,"version":"3.54.1"},"reference-count":33,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T00:00:00Z","timestamp":1776384000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Diabetes is a recognized risk factor for dementia, but its impact on dementia burden across sociodemographic groups in Australia is not well characterized.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To compare prevalence of dementia among Australians with and without diabetes and examine variation across key sociodemographic factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a cross-sectional analysis of the 2021 Australian national census among respondents aged 60\u201399 years. Prevalence was stratified by education, income, socioeconomic disadvantage, remoteness, and country of birth.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Age- and sex-standardized prevalence of dementia was higher in Australians with diabetes (3.83%) than in those without (3.33%), representing a 15% higher prevalence in the diabetes population. Women with diabetes had a higher prevalence than women without diabetes and men with diabetes. Across all sociodemographic strata, the prevalence of dementia was consistently higher among Australians with diabetes; however, the gap between Australians with and without diabetes widened in certain sociodemographic groups. The largest differences were observed among Australians with no education (6.56% versus 4.78%, 37% higher), those in remote areas (4.37% versus 3.22%, 36% higher) and those born in Vietnam (4.71% versus 3.79%, 24% higher) or China (3.81% versus 2.95%, 29% higher). Differences were also observed for those living in the most socioeconomically disadvantaged areas (4.72% versus 4.29%, 10% higher) and earning &lt;$500\/week (4.00% versus 3.47%, 15% higher). After adjusting for age and sex, the prevalence of dementia was 15% higher in the diabetes population, with this elevated risk persisting across sociodemographic strata.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Dementia is more prevalent among Australians with diabetes as compared with Australians without diabetes, particularly in socioeconomically and culturally disadvantaged populations. Addressing sociodemographic inequities is essential to reduce the burden of diabetes-related dementia in Australia's aging population.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877261442227","type":"journal-article","created":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T13:56:04Z","timestamp":1776434164000},"page":"1385-1395","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparing dementia prevalence in Australians with and without diabetes across sociodemographic groups: Findings from the 2021 national census"],"prefix":"10.1177","volume":"111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0678-1165","authenticated-orcid":false,"given":"Kanika","family":"Mehta","sequence":"first","affiliation":[{"name":"Diabetes and Population Health, Baker Heart and Diabetes Institute"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joanna Y.","family":"Gong","sequence":"additional","affiliation":[{"name":"Diabetes and Population Health, Baker Heart and Diabetes Institute"},{"name":"Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, VIC, Australia"},{"name":"Department of Endocrinology and Diabetes, Western Health, Melbourne, VIC, Australia"},{"name":"Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia"},{"name":"School of Translational Medicine, Monash University, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jovan A.","family":"Santoso","sequence":"additional","affiliation":[{"name":"School of Science, STEM College, RMIT University, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agus","family":"Salim","sequence":"additional","affiliation":[{"name":"Diabetes and Population Health, Baker Heart and Diabetes Institute"},{"name":"Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia"},{"name":"Faculty of Science, School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Blossom C. M.","family":"Stephan","sequence":"additional","affiliation":[{"name":"Curtin University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaarin J.","family":"Anstey","sequence":"additional","affiliation":[{"name":"School of Psychology, University of New South Wales, Sydney, NSW, Australia"},{"name":"Neuroscience Research Australia, Sydney, NSW, Australia"},{"name":"UNSW Ageing Futures Institute, University of New South Wales, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan E.","family":"Shaw","sequence":"additional","affiliation":[{"name":"Diabetes and Population Health, Baker Heart and Diabetes Institute"},{"name":"School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia"},{"name":"School of Life Sciences, La Trobe University, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dianna J.","family":"Magliano","sequence":"additional","affiliation":[{"name":"Diabetes and Population Health, Baker Heart and Diabetes Institute"},{"name":"School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,4,17]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(24)01296-0"},{"key":"e_1_3_3_3_2","article-title":"Potentially modifiable dementia risk factors in all Australians and within population groups: an analysis using cross-sectional survey data","volume":"8","author":"See RS","year":"2023","unstructured":"See RS, Thompson F, Russell S, et al. 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Socio-Economic Indexes for Areas (SEIFA) Australia [Internet]. https:\/\/www.abs.gov.au\/statistics\/people\/people-and-communities\/socio-economic-indexes-areas-seifa-australia\/latest-release (2021 accessed 7 May 2025)."},{"key":"e_1_3_3_18_2","unstructured":"Australian Bureau of Statistics. Remoteness Areas [Internet]. https:\/\/www.abs.gov.au\/statistics\/standards\/australian-statistical-geography-standard-asgs-edition-3\/jul2021-jun2026\/remoteness-structure\/remoteness-areas (accessed 17 June 2025)."},{"key":"e_1_3_3_19_2","unstructured":"Australian Bureau of Statistics. 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