Understanding ageing in older Australians: the contribution of the Dynamic Analyses to Optimise Ageing (DYNOPTA) project to the evidence base and policy.
OBJECTIVE
To describe the Dynamic Analyses to Optimise Ageing (DYNOPTA) project and illustrate its contributions to understanding ageing through innovative methodology, and investigations on outcomes based on the project themes. DYNOPTA provides a platform and technical expertise that may be used to combine other national and international datasets.


METHODS
The DYNOPTA project has pooled and harmonised data from nine Australian longitudinal studies to create the largest available longitudinal dataset (n= 50652) on ageing in Australia.


RESULTS
A range of findings have resulted from the study to date, including methodological advances, prevalence rates of disease and disability, and mapping trajectories of ageing with and without increasing morbidity. DYNOPTA also forms the basis of a microsimulation model that will provide projections of future costs of disease and disability for the baby boomer cohort.


CONCLUSIONS
DYNOPTA contributes significantly to the Australian evidence base on ageing to inform key social and health policy domains.
Centre for Mental Health Research, Australian National University, Canberra, Australian Capital Territory, Australia. kaarin.anstey@anu.edu.au
Kaarin J
KJ
Anstey
Allison A M
AA
Bielak
Carole L
CL
Birrell
Colette J
CJ
Browning
Richard A
RA
Burns
Julie
J
Byles
Kim M
KM
Kiely
Binod
B
Nepal
Lesley A
LA
Ross
David
D
Steel
Timothy D
TD
Windsor
D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D001315:Australia; D003704:Dementia / Q000453:epidemiology; D005260:Female; D015438:Health Behavior; D006291:Health Policy; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D001523:Mental Disorders / Q000453:epidemiology; D008875:Middle Aged; D015995:Prevalence