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dc.contributor.authorCameron, Ewan-
dc.contributor.authorZhang, Song-
dc.contributor.authorHaynes, Aveni-
dc.contributor.authorGething, Peter W.-
dc.date.accessioned2025-06-28T03:29:32Z-
dc.date.available2025-06-28T03:29:32Z-
dc.date.issued2025-02-25-
dc.identifier.issn1753-6405-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/10860-
dc.description.abstractAbstract Objectives: To characterise small-area geographical variation in the prevalence of diabetes in Australian youth. Methods: A combined statistical reconstruction and small-area estimation algorithm was applied to privacy-modulated data from the 2021 Australian Census. The census instrument and reconstruction accuracy was examined by comparisons against a hospital-based register and community register. Diabetes prevalence maps were created from the small-area estimates. Results: The median and interquartile range of estimated diabetes prevalence by small-area unit under our geospatial smoothing model were 1.76 [1.49–1.97] cases per 1000 population for those aged 0–14 years and 5.2 [4.4–5.9] cases per 1000 population for those aged 15–19 years old. Concentrations of elevated prevalence were identified in the vicinities of regional towns across South-East Queensland, regional New South Wales and regional Victoria. Across each of Australia’s five largest cities a gradient of decreasing youth diabetes prevalence from the outer suburbs to the urban centre was identified. Conclusion: Diabetes burden is systematically higher among rural and peri-urban resident youth in Australia compared with their urban counterparts. Implications for Public Health: Hotspots of prevalence in regional areas deserve attention from public health authorities. Key words: diabetes mellitus, type 1—juvenile-onset diabetes, epidemiologic factors, spatial regressionen_US
dc.language.isoenen_US
dc.publisherElsevier B.V. on behalf of Public Health Association of Australiaen_US
dc.subjectdiabetes mellitus,en_US
dc.subjecttype 1—juvenile-onset diabetes,en_US
dc.subjectepidemiologic factors,en_US
dc.subjectspatial regressionen_US
dc.titleSmall-area geographical variation in the prevalence of diabetes amongst Australian youth aged <20 years in 2021en_US
dc.typeArticleen_US
Appears in Collections:VOL 49. NO 3

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