Burden attributable to risk factors
On this page
The Australian Burden of Disease Study (ABDS) 2024 estimated the disease burden and deaths due to 40 risk factor components or exposures (such as cannabis use) that combine into 20 individual risk factors (such as illicit drug use).
These estimates reflect the amount of disease burden that could have been avoided if exposure to the risk factor had been avoided or reduced to the lowest possible exposure.
How much burden was attributable to individual risk factors?
Use the interactive graph to explore the top 10 linked diseases due to the selected risk factor (by the selected measure).
How to navigate the interactive visualisation
Use the drop-down lists at the top of the visualisation to filter the data by risk factor, measure, year and sex.
Hover over the bars on the chart for additional information.
The toolbar at the bottom of the visualisation enables users to interact with the data in different ways:
Undo = Undo the latest filter applied.
Redo = Redo the latest filter applied.
Revert = Clears all filters applied and reverts visualisation to default filters.
Refresh = Connects to the underlying data source and updates the visualisation with any changes in the data (not applicable to this visualisation).
Pause = Stops the visualisation from updating each time a filter is changed, enabling multiple filters to be changed at once. Clicking ‘Resume’ will update the visualisation according to the selected filters.
Download = Allows a downloadable file as either an image (PNG), PDF or PowerPoint file. This is a useful way to save a snapshot of the visualisation to include in a document or presentation.
Full screen = Displays the dashboard in full screen mode (press Esc to return to original view).
Share = Generates a link that can be shared (note that filters will not be applied when link is shared).
Figure 4.3: Burden attributable to linked diseases in Australia, by risk factor
This interactive visualisation shows the burden from the top 10 linked diseases, by selected risk factor, measure, data year and sex.
How did burden attributable to individual risk factors vary by age and sex?
Use the interactive graphs to explore how the burden attributable to the selected risk factor (by the selected measure) varies by sex and age.
Use the drop-down lists at the top of the visualisation to filter the data by risk factor, measure, year, sex and disease group.
Hover over the bars on the chart for additional information.
The toolbar at the bottom of the visualisation enables users to interact with the data in different ways:
Undo = Undo the latest filter applied.
Redo = Redo the latest filter applied.
Revert = Clears all filters applied and reverts visualisation to default filters.
Refresh = Connects to the underlying data source and updates the visualisation with any changes in the data (not applicable to this visualisation).
Pause = Stops the visualisation from updating each time a filter is changed, enabling multiple filters to be changed at once. Clicking ‘Resume’ will update the visualisation according to the selected filters.
Download = Allows a downloadable file as either an image (PNG), PDF or PowerPoint file. This is a useful way to save a snapshot of the visualisation to include in a document or presentation.
Full screen = Displays the dashboard in full screen mode (press Esc to return to original view).
Share = Generates a link that can be shared (note that filters will not be applied when link is shared).
Figure 4.4: Attributable burden in Australia, by risk factor, age and linked disease
This interactive visualisation shows the burden by age group from all linked diseases, by selected risk factor, measure, data year and sex.
