Understanding ageing in older Australians: The contribution of the Dynamic Analyses to Optimise Ageing (DYNOPTA) project to the evidence base and policy

Kaarin Anstey, Allison Bielak, Carole Birrell, Colette Browning, Richard Burns, Julie Byles, Kim Kiely, Binod Nepal, Lesley Ross, David Steel, Timothy Windsor

    Research output: Contribution to journalArticle

    8 Citations (Scopus)

    Abstract

    Aim:  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. Conclusion:  DYNOPTA contributes significantly to the Australian evidence base on ageing to inform key social and health policy domains
    Original languageEnglish
    Pages (from-to)24-31
    Number of pages8
    JournalAustralasian Journal on Ageing
    Volume30
    Issue numberSupp 2
    DOIs
    Publication statusPublished - 2011

    Fingerprint

    Professional Competence
    Cost of Illness
    Public Policy
    Health Policy
    Longitudinal Studies
    Morbidity
    Datasets

    Cite this

    Anstey, Kaarin ; Bielak, Allison ; Birrell, Carole ; Browning, Colette ; Burns, Richard ; Byles, Julie ; Kiely, Kim ; Nepal, Binod ; Ross, Lesley ; Steel, David ; Windsor, Timothy. / Understanding ageing in older Australians: The contribution of the Dynamic Analyses to Optimise Ageing (DYNOPTA) project to the evidence base and policy. In: Australasian Journal on Ageing. 2011 ; Vol. 30, No. Supp 2. pp. 24-31.
    @article{1f890cbe24d143c0b7a8fc43fa038eae,
    title = "Understanding ageing in older Australians: The contribution of the Dynamic Analyses to Optimise Ageing (DYNOPTA) project to the evidence base and policy",
    abstract = "Aim:  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. Conclusion:  DYNOPTA contributes significantly to the Australian evidence base on ageing to inform key social and health policy domains",
    author = "Kaarin Anstey and Allison Bielak and Carole Birrell and Colette Browning and Richard Burns and Julie Byles and Kim Kiely and Binod Nepal and Lesley Ross and David Steel and Timothy Windsor",
    year = "2011",
    doi = "10.1111/J.1741-6612.2011.00533.X",
    language = "English",
    volume = "30",
    pages = "24--31",
    journal = "Australian journal on ageing",
    issn = "1440-6381",
    publisher = "Wiley-Blackwell",
    number = "Supp 2",

    }

    Anstey, K, Bielak, A, Birrell, C, Browning, C, Burns, R, Byles, J, Kiely, K, Nepal, B, Ross, L, Steel, D & Windsor, T 2011, 'Understanding ageing in older Australians: The contribution of the Dynamic Analyses to Optimise Ageing (DYNOPTA) project to the evidence base and policy', Australasian Journal on Ageing, vol. 30, no. Supp 2, pp. 24-31. https://doi.org/10.1111/J.1741-6612.2011.00533.X

    Understanding ageing in older Australians: The contribution of the Dynamic Analyses to Optimise Ageing (DYNOPTA) project to the evidence base and policy. / Anstey, Kaarin; Bielak, Allison; Birrell, Carole; Browning, Colette; Burns, Richard; Byles, Julie; Kiely, Kim; Nepal, Binod; Ross, Lesley; Steel, David; Windsor, Timothy.

    In: Australasian Journal on Ageing, Vol. 30, No. Supp 2, 2011, p. 24-31.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Understanding ageing in older Australians: The contribution of the Dynamic Analyses to Optimise Ageing (DYNOPTA) project to the evidence base and policy

    AU - Anstey, Kaarin

    AU - Bielak, Allison

    AU - Birrell, Carole

    AU - Browning, Colette

    AU - Burns, Richard

    AU - Byles, Julie

    AU - Kiely, Kim

    AU - Nepal, Binod

    AU - Ross, Lesley

    AU - Steel, David

    AU - Windsor, Timothy

    PY - 2011

    Y1 - 2011

    N2 - Aim:  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. Conclusion:  DYNOPTA contributes significantly to the Australian evidence base on ageing to inform key social and health policy domains

    AB - Aim:  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. Conclusion:  DYNOPTA contributes significantly to the Australian evidence base on ageing to inform key social and health policy domains

    U2 - 10.1111/J.1741-6612.2011.00533.X

    DO - 10.1111/J.1741-6612.2011.00533.X

    M3 - Article

    VL - 30

    SP - 24

    EP - 31

    JO - Australian journal on ageing

    JF - Australian journal on ageing

    SN - 1440-6381

    IS - Supp 2

    ER -