Wendy A Davis1, Kirsten E Peters1, Ashley Makepeace2,3, Shaye Griffiths4, Christine Bundell4, Struan F A Grant5,6, Sian Ellard7, Andrew T Hattersley7, Stephen A Paul Chubb8, David G Bruce1, Timothy M E Davis1. 1. Medical School, University of Western Australia, Perth, Western Australia, Australia. 2. Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, Western Australia, Australia. 3. Department of Endocrinology and Diabetes, Fremantle Hospital, Fremantle, Western Australia, Australia. 4. Department of Clinical Immunology, PathWest Laboratory Medicine, QEII Medical Centre, Perth, Western Australia, Australia. 5. Divisions of Human Genetics and Endocrinology, Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania, USA. 6. Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. 7. Molecular Genetics Department, Peninsula Medical School, Exeter, UK. 8. Biochemistry Department, PathWest Laboratory Medicine, Fiona Stanley Hospital, Perth, Western Australia, Australia.
Abstract
BACKGROUND: Accurate diabetes prevalence estimates are important for health service planning and prioritisation. Available data have limitations, suggesting that the contemporary burden of diabetes in Australia is best assessed from multiple sources. AIMS: To use systematic active detection of diabetes cases in a postcode-defined urban area through the Fremantle Diabetes Study Phase II (FDS2) to complement other epidemiological and survey data in estimating the national prevalence of diabetes and its types. METHODS: People with known diabetes in a population of 157 000 were identified (n = 4639) from a variety of sources and those providing informed consent (n = 1668 or 36%) were recruited to the FDS2 between 2008 and 2011. All FDS2 participants were assigned a type of diabetes based on clinical and laboratory (including serological and genetic) features. Data from people identified through the FDS2 were used to complement Australian Health Survey and National Diabetes Services Scheme prevalence estimates (the proportions of people well controlled on no pharmacotherapy and registering with the National Diabetes Services Scheme respectively) in combination with Australian Bureau of Statistics data to generate the prevalence of diabetes in Australia. RESULTS: Based on data from multiple sources, 4.8% or 1.1 million Australians had diabetes in 2011-2012, of whom 85.8% had type 2 diabetes, 7.9% type 1 diabetes and 6.3% other types (latent autoimmune diabetes of adults, monogenic diabetes and secondary diabetes). CONCLUSIONS: Approximately 1 in 20 Australians has diabetes. Although most have type 2 diabetes, one in seven has other types that may require more specialised diagnosis and/or management.
BACKGROUND: Accurate diabetes prevalence estimates are important for health service planning and prioritisation. Available data have limitations, suggesting that the contemporary burden of diabetes in Australia is best assessed from multiple sources. AIMS: To use systematic active detection of diabetes cases in a postcode-defined urban area through the Fremantle Diabetes Study Phase II (FDS2) to complement other epidemiological and survey data in estimating the national prevalence of diabetes and its types. METHODS:People with known diabetes in a population of 157 000 were identified (n = 4639) from a variety of sources and those providing informed consent (n = 1668 or 36%) were recruited to the FDS2 between 2008 and 2011. All FDS2 participants were assigned a type of diabetes based on clinical and laboratory (including serological and genetic) features. Data from people identified through the FDS2 were used to complement Australian Health Survey and National Diabetes Services Scheme prevalence estimates (the proportions of people well controlled on no pharmacotherapy and registering with the National Diabetes Services Scheme respectively) in combination with Australian Bureau of Statistics data to generate the prevalence of diabetes in Australia. RESULTS: Based on data from multiple sources, 4.8% or 1.1 million Australians had diabetes in 2011-2012, of whom 85.8% had type 2 diabetes, 7.9% type 1 diabetes and 6.3% other types (latent autoimmune diabetes of adults, monogenic diabetes and secondary diabetes). CONCLUSIONS: Approximately 1 in 20 Australians has diabetes. Although most have type 2 diabetes, one in seven has other types that may require more specialised diagnosis and/or management.
Authors: S Shackleton; D J Lloyd; S N Jackson; R Evans; M F Niermeijer; B M Singh; H Schmidt; G Brabant; S Kumar; P N Durrington; S Gregory; S O'Rahilly; R C Trembath Journal: Nat Genet Date: 2000-02 Impact factor: 38.330
Authors: S de Lusignan; K Khunti; J Belsey; A Hattersley; J van Vlymen; H Gallagher; C Millett; N J Hague; C Tomson; K Harris; A Majeed Journal: Diabet Med Date: 2010-02 Impact factor: 4.359
Authors: David W Dunstan; Paul Z Zimmet; Timothy A Welborn; Maximilian P De Courten; Adrian J Cameron; Richard A Sicree; Terry Dwyer; Stephen Colagiuri; Damien Jolley; Matthew Knuiman; Robert Atkins; Jonathan E Shaw Journal: Diabetes Care Date: 2002-05 Impact factor: 19.112
Authors: David W Dunstan; Paul Z Zimmet; Timothy A Welborn; Adrian J Cameron; Jonathan Shaw; Maximilian de Courten; Damien Jolley; Daniel J McCarty Journal: Diabetes Res Clin Pract Date: 2002-08 Impact factor: 5.602
Authors: Goodarz Danaei; Mariel M Finucane; Yuan Lu; Gitanjali M Singh; Melanie J Cowan; Christopher J Paciorek; John K Lin; Farshad Farzadfar; Young-Ho Khang; Gretchen A Stevens; Mayuree Rao; Mohammed K Ali; Leanne M Riley; Carolyn A Robinson; Majid Ezzati Journal: Lancet Date: 2011-06-24 Impact factor: 79.321
Authors: Zhiyuan Cheng; Yuanyuan Li; Jamie L Young; Ning Cheng; Chenhui Yang; George D Papandonatos; Karl T Kelsey; John Pierce Wise; Kunchong Shi; Tongzhang Zheng; Simin Liu; Yana Bai Journal: Sci Total Environ Date: 2021-11-22 Impact factor: 7.963
Authors: S A Paul Chubb; Kirsten E Peters; David G Bruce; Wendy A Davis; Timothy M E Davis Journal: Acta Diabetol Date: 2022-09-09 Impact factor: 4.087
Authors: Matthew J L Hare; Yuejen Zhao; Steven Guthridge; Paul Burgess; Elizabeth L M Barr; Elna Ellis; Deborah Butler; Amy Rosser; Henrik Falhammar; Louise J Maple-Brown Journal: BMJ Open Date: 2022-05-15 Impact factor: 3.006
Authors: Sze-Yen Tan; Annie R Curtis; Rebecca M Leech; Nicola D Ridgers; David Crawford; Sarah A McNaughton Journal: Eur J Nutr Date: 2022-01-31 Impact factor: 4.865
Authors: Wendy A Davis; Valentina Hellbusch; Michael L Hunter; David G Bruce; Timothy M E Davis Journal: J Clin Med Date: 2020-05-11 Impact factor: 4.241
Authors: Yu Jiang; Guobei Xiao; Xiaotong Han; Zhuoting Zhu; Xianwen Shang; Ruilin Xiong; Jane Scheetz; Lei Zhang; Katerina V Kiburg; Mingguang He Journal: Ann Transl Med Date: 2022-08