2015
DOI: 10.1016/j.diabres.2015.05.029
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Residential distance from major urban areas, diabetes and cardiovascular mortality in Australia

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Cited by 10 publications
(9 citation statements)
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“…Similarly, a measure of remoteness (major cities or regional and remote areas) was assigned to each woman's postcode based on the Accessibility and Remoteness Index of Australia (ARIA) produced by the Australian Population and Migration Research Centre at the University of Adelaide. This index quantifies geographic access to health care services in Australia using road distances to the nearest service centres (ABS, 2011c;Magliano et al, 2014).…”
Section: Data Sourcesmentioning
confidence: 99%
“…Similarly, a measure of remoteness (major cities or regional and remote areas) was assigned to each woman's postcode based on the Accessibility and Remoteness Index of Australia (ARIA) produced by the Australian Population and Migration Research Centre at the University of Adelaide. This index quantifies geographic access to health care services in Australia using road distances to the nearest service centres (ABS, 2011c;Magliano et al, 2014).…”
Section: Data Sourcesmentioning
confidence: 99%
“…In addition, while diabetes prevalence varies only slightly by remoteness, those in remote areas have twice the diabetes-related hospitalisation rate than people living in major cities [10]. Moreover, allcause and cardiovascular mortality rates among people with type 2 diabetes in Australia increase with remoteness [11]. Because the new GLDs are associated with a lower risk of hypoglycaemia and, for SGLT2is and GLP-1RAs, reduction in cardiovascular and renal disease, disparity in their use would be concerning and may contribute to socioeconomic disparities in outcomes.…”
Section: Introductionmentioning
confidence: 99%
“…The methods of linkage were not provided in most of the included studies ( n = 78; 66.1%) ( 19 21 , 23 35 , 37 , 38 , 40 47 , 49 , 51 , 52 , 54 59 , 61 , 63 65 , 68 71 , 75 , 79 , 81 83 , 85 91 , 93 , 94 , 96 98 , 101 , 102 , 104 , 106 , 107 , 112 , 113 , 116 , 118 , 120 122 , 124 , 125 , 127 , 128 , 133 135 ). The probabilistic method was predominantly used in the remaining studies ( n = 31; 26.3%) ( 22 , 36 , 39 , 48 , 50 , 53 , 60 , 62 , 66 , 67 , 72 74 , 76 , 77 , 80 , 92 , 99 , 100 , 103 , 105 , 108 , 117 , …”
Section: Resultsmentioning
confidence: 99%