ArticleInternational journal of epidemiology2023
Quantifying cause-related mortality in Australia, incorporating multiple causes: observed patterns, trends and practical considerations.
Article in International journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 17 citations in OpenAlex.
- Post-pandemic mortality patterns and COVID-19 burden considering multiple death causes.European journal of epidemiology · 2026Article
- Reclassification and weighting of multiple causes of death: US death certificates 2003-2023.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Re-classification and Weighting of Multiple Causes of Death: US Death Certificates 2003-2023.medRxiv : the preprint server for health sciences · 2026Article
- Cardiovascular Disease Mortality Patterns Among People With Cancer in New South Wales, Australia: A Population-Wide Data Linkage Study.Cancer medicine · 2026Article
- Multiple cause of death during the COVID-19 pandemic: a population study In Colombia and Brazil.International journal of public health · 2026Article
- [Dementia(associated) deaths in Bavaria-analysis of comorbidities based on multiple cause of death statistics from 2020 to 2022].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Article
- Are contributory causes of death in part 2 of the death certificate mediators of chains of morbid events leading to death?Population health metrics · 2025Article
- Coronary heart disease and stroke mortality trends in Australia and New Zealand: comparison of official national mortality data and Global Burden of Disease estimates.International journal of epidemiology · 2025Article
- Beyond the underlying cause of death: an algorithm to study multi-morbidity at death.Population health metrics · 2024Article
- Applying an ICD-10 to ICD-11 mapping tool to identify causes of death codes in an Alberta dataset.Population health metrics · 2024Article
- Quantifying years of life lost in Australia: a multiple cause of death analysis.International journal of epidemiology · 2024Article
- What can multiple causes of death tell about cardiovascular mortality during COVID-19 pandemic in the United States?Journal of public health (Oxford, England) · 2024Article
- Analysis of Multiple Causes of Death: A Review of Methods and Practices.Epidemiology (Cambridge, Mass.) · 2023Review
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMortality statistics using a single underlying cause of death (UC) are key health indicators. Rising multimorbidity and chronic disease mean that deaths increasingly involve multiple conditions. However, additional causes reported on death certificates are rarely integrated into mortality indicators, partly due to complexities in data and methods. This study aimed to assess trends and patterns in cause-related mortality in Australia, integrating multiple causes (MC) of death.
methodsDeaths (n = 1 773 399) in Australia (2006-17) were mapped to 136 ICD-10-based groups and MC indicators applied. Age-standardized cause-related rates (deaths/100 000) based on the UC (ASRUC) were compared with rates based on any mention of the cause (ASRAM) using rate ratios (RR = ASRAM/ASRUC) and to rates based on weighting multiple contributing causes (ASRW).
resultsDeaths involved on average 3.4 causes in 2017; the percentage with >4 causes increased from 20.9 (2006) to 24.4 (2017). Ischaemic heart disease (ASRUC = 73.3, ASRAM = 135.8, ASRW = 63.5), dementia (ASRUC = 51.1, ASRAM = 98.1, ASRW = 52.1) and cerebrovascular diseases (ASRUC = 39.9, ASRAM = 76.7, ASRW = 33.5) ranked as leading causes by all methods. Causes with high RR included hypertension (ASRUC = 2.2, RR = 35.5), atrial fibrillation (ASRUC = 8.0, RR = 6.5) and diabetes (ASRUC = 18.5, RR = 3.5); the corresponding ASRW were 12.5, 12.6 and 24.0, respectively. Renal failure, atrial fibrillation and hypertension ranked among the 10 leading causes by ASRAM and ASRW but not by ASRUC. Practical considerations in working with MC data are discussed.
conclusionsDespite the similarities in leading causes under the three methods, with integration of MC several preventable diseases emerged as leading causes. MC analyses offer a richer additional perspective for population health monitoring and policy development.
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