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Type: Journal article
Title: Mortality variation across Australia: descriptive data for States and Territories, and statistical divisions
Author: Wilkinson, D.
Hiller, J.
Moss, J.
Ryan, P.
Worsley, A.
Citation: Australian and New Zealand Journal of Public Health, 2000; 24(3):226-233
Publisher: Public Health Assoc Australia Inc
Issue Date: 2000
ISSN: 1326-0200
Statement of
Wilkinson, David, Hiller, Janet, Moss, John, Ryan, Philip, Worsley, Tony
Abstract: <h4>Objective</h4>To describe variation in all cause and selected cause-specific mortality rates across Australia.<h4>Methods</h4>Mortality and population data for 1997 were obtained from the Australian Bureau of Statistics. All cause and selected cause-specific mortality rates were calculated and directly standardised to the 1997 Australian population in 5-year age groups. Selected major causes of death included cancer, coronary artery disease, cerebrovascular disease, diabetes, accidents and suicide. Rates are reported by statistical division, and State and Territory.<h4>Results</h4>All cause age-standardised mortality was 6.98 per 1000 in 1997 and this varied 2-fold from a low in the statistical division of Pilbara, Western Australia (5.78, 95% confidence interval 5.06-6.56), to a high in Northern Territory--excluding Darwin (11.30, 10.67-11.98). Similar mortality variation (all p < 0.0001) exists for cancer (1.01-2.23 per 1000) and coronary artery disease (0.99-2.23 per 1000), the two biggest killers. Larger variation (all p < 0.0001) exists for cerebrovascular disease (0.7-11.8 per 10,000), diabetes (0.7-6.9 per 10,000), accidents (1.7-7.2 per 10,000) and suicide (0.6-3.8 per 10,000). Less marked variation was observed when analysed by State and Territory, but Northern Territory consistently has the highest age-standardised mortality rates.<h4>Conclusions</h4>Analysed by statistical division, substantial mortality gradients exist across Australia, suggesting an inequitable distribution of the determinants of health. Further research is required to better understand this heterogeneity.
Keywords: Humans
Data Collection
Cause of Death
Age Factors
DOI: 10.1111/j.1467-842X.2000.tb01561.x
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