Australian Institute of Health and Welfare (2021) Australian Burden of Disease Study 2018 – Key findings, AIHW, Australian Government, accessed 01 February 2023.
Australian Institute of Health and Welfare. (2021). Australian Burden of Disease Study 2018 – Key findings. Retrieved from https://www.aihw.gov.au/reports/burden-of-disease/burden-of-disease-study-2018-key-findings
Australian Burden of Disease Study 2018 – Key findings. Australian Institute of Health and Welfare, 18 August 2021, https://www.aihw.gov.au/reports/burden-of-disease/burden-of-disease-study-2018-key-findings
Australian Institute of Health and Welfare. Australian Burden of Disease Study 2018 – Key findings [Internet]. Canberra: Australian Institute of Health and Welfare, 2021 [cited 2023 Feb. 1]. Available from: https://www.aihw.gov.au/reports/burden-of-disease/burden-of-disease-study-2018-key-findings
Australian Institute of Health and Welfare (AIHW) 2021, Australian Burden of Disease Study 2018 – Key findings, viewed 1 February 2023, https://www.aihw.gov.au/reports/burden-of-disease/burden-of-disease-study-2018-key-findings
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As this study (ABDS 2018) provides estimates of disease burden for the 2018 reference year, estimates of the burden due to COVID-19 are not included. However, as part of a separate project, AIHW calculated estimates of the fatal and non-fatal burden due to COVID-19 in Australia for 2020, presented in: The first year of COVID-19 in Australia: direct and indirect health effects. For 2021 estimates, see 'Chapter 1 The impact of a new disease: COVID-19 from 2020, 2021 and into 2022’ in Australia’s health 2022: data insights. The forthcoming ABDS 2022 will present COVID-19 estimates for 2022.
Burden of disease analysis is a way of measuring the impact of diseases and injuries on a population (in this report, the population of Australia). It looks at the fatal and non-fatal burden—both premature deaths and living with health impacts from disease or injury. These measures combined are referred to as ‘total burden’. Burden of disease measures the difference between a population’s actual health and its ideal health (that is, if everyone lived as long as possible and no one lived with illness or injury).
Disease burden is measured using the summary metric of disability-adjusted life years (DALY). One DALY is one year of healthy life lost to disease and injury. DALY caused by living in poor health (non-fatal burden) are known as ‘years lived with disability’ (or YLD). DALY caused by premature death (fatal burden) are known as ‘years of life lost’ (YLL) and are measured against an ideal life expectancy.
If a disease has a high number of DALY, it is considered to have a high burden on the population. Some diseases have a high fatal burden due to the number of premature deaths they cause (e.g. cancers), while others have a low fatal burden but cause a lot of non-fatal burden (e.g. musculoskeletal conditions). Burden of disease studies allow the impact of both deaths and living with illness to be compared and reported in a consistent manner.
Many diseases are linked to risk factors, such as smoking, alcohol consumption, or being overweight or obese. The ‘attributable burden’ refers to how much of the burden could be avoided if the risk factor were removed or reduced to the lowest possible exposure.
In 2018, Australians lost 5 million years of healthy life (total burden, DALY) due to:
Living with illness (non-fatal)
of total burden
Dying prematurely (fatal)
of total burden
Living with illness or injury (non-fatal burden) caused slightly more total disease burden than dying prematurely (fatal). There has been a moderate shift from fatal to non-fatal burden being the biggest contributor to total burden between 2003 and 2018, driven by less premature deaths.
Over the 15-year period from 2003 to 2018, and after adjusting for population growth and ageing, there was a 24% decline in fatal burden, with non-fatal burden rates remaining stable. This meant that the total burden decreased by 13%.
In 2018, the 5 disease groups that caused the most burden were cancer, musculoskeletal conditions, cardiovascular diseases, mental & substance use disorders and injuries.
Together these disease groups accounted for around two-thirds (65%) of the total burden. With the exception of injuries, which includes acute injuries, these disease groups include mostly chronic, or long-lasting, conditions.
The cancer & other neoplasms disease group contributed the most burden across all years of the study.
When considering individual diseases, coronary heart disease was the leading cause of burden, and also showed the largest reduction in total burden over time—from 21 to 10 DALY per 1,000 people between 2003 and 2018. This reduction was mainly driven by large declines in fatal burden.
The leading 5 diseases causing burden (% of total DALY) in 2018:
ASR = Age-standardised rate.
A decline in total burden (based on age-standardised DALY rates) was also seen for stroke, lung and bowel cancer and rheumatoid arthritis. The total burden from dementia increased from 4.5 to 6.1 DALY per 1,000 (partly due to changes in practices of coding deaths due to dementia), and the rank increased from 12 in 2003 to 4 in 2018.
The leading diseases causing fatal burden were coronary heart disease (which had a large decline between 2003 and 2018), lung cancer (slight decline) and suicide & self-inflicted injuries (slight increase). Back pain & problems (which increased slightly between 2003 and 2018) was the leading cause of non-fatal burden, followed by anxiety disorders and depressive disorders (which remained stable).
Males experienced more total burden than females for most age groups. In 2018, males suffered 1.6 times the rate of fatal burden (104 YLL per 1,000 population) experienced by females (65 YLL per 1,000 population). Males suffered almost 3 times the amount of burden due to suicide & self-inflicted injuries (ranked third in males) and more burden from lung cancer than females, while females experienced more burden from dementia (ranked first in females).
In 2018, 38% of the burden of disease could have been prevented by reducing or avoiding exposure to the modifiable risk factors examined in this study.
The risk factors contributing the most burden in 2018 were tobacco use (8.6%), overweight (including obesity) (8.4%), followed by dietary risks (5.4%), high blood pressure (5.1%), and alcohol use (4.5%).
Tobacco use was the leading risk factor for both males and females and contributed the most to fatal burden, with almost 20,500 attributable deaths (13% of all deaths) in 2018. Overweight (including obesity) contributed the most to non-fatal burden.
After adjusting for population growth and ageing, the rates of burden attributable to the top 2 risk factors were shown to decrease over the period 2003 to 2018. For tobacco use, the decline in attributable burden was mainly driven by continued declines in smoking prevalence and major linked diseases. For overweight (including obesity), small declines were evident between 2003 and 2015, followed by a small increase between 2015 and 2018. These trends were partly driven by increasing rates of burden attributable to obesity and some linked diseases such as dementia; and declining rates in burden attributable to overweight (but not obesity) and linked diseases such as cardiovascular diseases.
Declines were observed for most leading risk factors with the exception of illicit drug use for which the age-standardised DALY rate increased by 35% between 2003 and 2018, resulting in change in ranking from the 8th leading risk factor in 2003 to 6th in 2018.
The overall rate of total, fatal and non-fatal burden was similar across states and territories, except the Northern Territory where the age-standardised DALY rate was 1.4 times as high as the national rate. The Northern Territory has the smallest population, but also a younger population and a higher proportion identifying as Aboriginal or Torres Strait Islander than in other states and territories.
Large inequalities were also found across socioeconomic groups and remoteness areas. The total burden (DALY rate) in:
Remote and very remote areas is
Lowest socioeconomic group is
Highest socioeconomic group
Australians are, on average, living longer and spending more years in full health (meaning no disease or injury; also referred to as health-adjusted life expectancy). However, years lived in ill health are also increasing, resulting in little change in the proportion of life spent in full health.
Males and females born in 2018 could expect to live an average of 89% and 87% of their lives in full health respectively (71.5 years of the 80.7 years of average life expectancy for males and 74.1 years of the 84.9 years of average life expectancy for females).
Between 2003 and 2018, the average proportion of life spent in full health remained largely the same for males (89%), but decreased slightly for females (from 88% to 87%).
The gap in both life expectancy and health-adjusted life expectancy between Major cities and Remote and very remote areas reduced between 2011 and 2018.
In 2018, males and females in the lowest (most disadvantaged) socioeconomic group lived fewer years in full health, and a smaller proportion of life expectancy (at birth) in full health, compared to those in the highest (least disadvantaged) socioeconomic group.
The proportion of life expectancy at birth lived in full health for the period 2011 to 2018 remained largely the same for males and females in the highest socioeconomic group, and declined for females in the lowest socioeconomic group (there was no change for males). Similar patterns were observed at age 65 except that declines in the lowest socioeconomic group were observed for both males and females, suggesting a slight widening of the gap in health-adjusted life expectancy between the lowest and highest socioeconomic groups at that age.
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