Burden of disease and injury in Australia in the new millennium: measuring health loss from diseases, injuries and risk factors
Abstract
OBJECTIVE: To describe the magnitude and distribution of health problems in Australia, in order to identify key opportunities for health gain. DESIGN: Descriptive epidemiological models for a comprehensive set of diseases and injuries of public health importance in Australia were developed using a range of data sources, methods and assumptions. Health loss associated with each condition was derived using normative techniques and quantified for various subpopulations, risks to health, and points in time. The baseline year for comparisons was 2003. MAIN OUTCOME MEASURES: Health loss expressed as disability-adjusted life years (DALYs) and presented as proportions of total DALYs and DALY rates (crude and age-standardised) per 1000 population. RESULTS: A third of total health loss in 2003 was explained by 14 selected health risks. DALY rates were 31.7% higher in the lowest socioeconomic quintile than in the highest, and 26.5% higher in remote areas than in major cities. Total DALY rates were estimated to decline for most conditions over the 20 years from 2003 to 2023, but for some causes, most notably diabetes, they were projected to increase. CONCLUSION: Despite steady improvements in Australia's health over the past decade, there are still opportunities for further progress. Significant gains can be made through achievable changes in exposure to a limited number of well established health risks.
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Similar national comparative risk assessments were done in Australia, Iran, Japan, Mexico, South Africa, Thailand, the USA, and Vietnam.
“National comparative risk assessments (including in Australia, Iran, Japan, Mexico, South Africa, Thailand, USA, and Vietnam) have also been undertaken with similar approaches.11–16”
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- Authors
- Begg, S. J., Vos, T., Barker, B., Stanley, L., & Lopez, A. D.
- Affiliations
- The University of Queensland (AU)
- School of Population Health, University of Queensland, Brisbane, QLD.
- Venue
- Medical Journal of Australia
- Publisher
- AMPCo
- Published
- 2008-01
- Volume
- 188
- Issue
- 1
- Pages
- 36-40
- ISSN
- 0025-729X (ISSN-L)
- 1326-5377
- OpenAlex
- W1538627990
- Cited by
- 239
- References
- 19
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 4 · 2022: 2 · 2021: 5 · 2020: 8 · 2019: 12 · 2018: 11 · 2017: 11 · 2016: 20 · 2015: 21 · 2014: 29 · 2013: 35 · 2012: 20
- FWCI
- 45.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- The Medical Journal of Australia (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Australian Government
- Cancer Australia
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Health Professions › General Health Professions › Health and Medical Studies
- Health Sciences › Health Professions › Health Information Management › Global Health and Epidemiology
- Keywords
- disease burden, injuries, disability-adjusted life years, health loss, health risk factors, socioeconomic inequalities in health, diabetes mellitus, Australia
- MeSH terms
- Australia, Chronic Disease, Epidemiologic Methods, Persons with Disabilities, Humans, Risk Factors, Wounds and Injuries, Health Behavior, Cost of Illness, Quality-Adjusted Life Years
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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