Back

Future health gain from increasing physical activity in Australia, including multiple physiological effects of physical activity, and falls and injury risk: A simulation study

Bourke, E. J.; Wilson, T.; Maddison, R.; Blakely, T.

2026-03-30 public and global health
10.64898/2026.03.28.26349629 medRxiv
Show abstract

Abstract Background: Previous physical activity simulation studies only account for the effects of cardiovascular diseases, diabetes, dementia, and some cancers, which neglects many of its costs and benefits. We estimate the health and economic impacts of increased physical activity in Australia, including those on mental health, increased injury rate, and conditions mediated by other risk factors, commencing 2021, over 20 years. Methods: We used a Proportional Multistate Lifetable Model specified with disease rate and risk factor forecasts, and causal associations, derived from the Global Burden of Disease study and other sources. Findings: If all Australians shifted to the maximum physical activity level of 4200+ MET-min/week, there would be: 653,000 (230,000 - 1,210,000) or 0.16% more HALYs lived; 9,720 (7,400 to 12,700) or 1.33% fewer deaths before age 75; increased working age income of AUD$16.8 billion ($12.8 - $22.2 billion); and decreased health expenditure of $748 million (-$4.46 billion - $6.98 billion) or 0.02%. Net health gains diminish for each additional 600 MET-min/week increase in physical activity, and above 4,200 MET-min/week the health costs from injuries outweigh the reduction in health costs from avoided disease. Because of injuries, increasing physical activity in the lowest activity group to meet the physical activity guidelines reduces health expenditure more ($1.86 billion; 896 million - 3.13 billion) than shifting to maximum activity levels. Interpretation: Increasing physical activity levels in Australia would improve population health (even allowing for injuries due to participation), reduce health spending, and increase income. Funding: Australian Sports Commission. TB is funded by NHMRC Investigator Grant (2023) #2026992

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
International Journal of Behavioral Nutrition and Physical Activity
15 papers in training set
Top 0.1%
40.9%
2
PLOS Medicine
98 papers in training set
Top 0.3%
7.1%
3
PLOS ONE
4510 papers in training set
Top 26%
6.6%
50% of probability mass above
4
BMC Medicine
163 papers in training set
Top 0.8%
4.5%
5
BMJ Open
554 papers in training set
Top 5%
3.7%
6
JAMA Network Open
127 papers in training set
Top 1%
2.4%
7
International Journal of Public Health
17 papers in training set
Top 0.1%
2.0%
8
Social Science & Medicine
15 papers in training set
Top 0.4%
2.0%
9
Journal of Epidemiology and Community Health
32 papers in training set
Top 0.3%
2.0%
10
Scientific Reports
3102 papers in training set
Top 54%
1.9%
11
BMC Public Health
147 papers in training set
Top 3%
1.8%
12
The Lancet Public Health
20 papers in training set
Top 0.2%
1.7%
13
Nature Communications
4913 papers in training set
Top 53%
1.5%
14
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 34%
1.5%
15
Trials
25 papers in training set
Top 1%
0.9%
16
eLife
5422 papers in training set
Top 54%
0.8%
17
Annals of Epidemiology
19 papers in training set
Top 0.5%
0.8%
18
Emerging Infectious Diseases
103 papers in training set
Top 3%
0.7%
19
The Lancet Regional Health - Europe
32 papers in training set
Top 0.5%
0.7%
20
Clinical Infectious Diseases
231 papers in training set
Top 5%
0.7%
21
PeerJ
261 papers in training set
Top 18%
0.5%
22
Journal of Public Health
23 papers in training set
Top 1%
0.5%
23
Current Developments in Nutrition
15 papers in training set
Top 1%
0.5%