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Associations and correlates of general versus specific successful ageing components

Author

Listed:
  • Myriam V. Thoma

    (University of Zurich
    University Research Priority Program, University of Zurich)

  • Luca Kleineidam

    (University of Bonn
    DZNE, German Center for Neurodegenerative Diseases)

  • Simon Forstmeier

    (University of Siegen)

  • Andreas Maercker

    (University of Zurich
    University Research Priority Program, University of Zurich)

  • Siegfried Weyerer

    (Heidelberg University)

  • Marion Eisele

    (University Medical Center Hamburg-Eppendorf)

  • Hendrik den Bussche

    (University Medical Center Hamburg-Eppendorf)

  • Hans-Helmut König

    (University Medical Center Hamburg-Eppendorf)

  • Susanne Röhr

    (Occupational Health and Public Health (ISAP), University of Leipzig)

  • Janine Stein

    (Occupational Health and Public Health (ISAP), University of Leipzig)

  • Birgitt Wiese

    (WG Medical Statistics and IT-Infrastructure, Institute of General Practice)

  • Michael Pentzek

    (Heinrich-Heine University Düsseldorf)

  • Horst Bickel

    (Technical University of Munich)

  • Wolfgang Maier

    (University of Bonn
    DZNE, German Center for Neurodegenerative Diseases)

  • Martin Scherer

    (University Medical Center Hamburg-Eppendorf)

  • Steffi G. Riedel-Heller

    (Occupational Health and Public Health (ISAP), University of Leipzig)

  • Michael Wagner

    (University of Bonn
    DZNE, German Center for Neurodegenerative Diseases)

Abstract

The heterogeneity in the operationalisation of successful ageing (SA) hinders a straightforward examination of SA associations and correlates, and in turn, the identification of potentially modifiable predictors of SA. It is unclear which SA associations and correlates influence all facets of the SA construct, and whether psychosocial reserve models developed in neuropathological ageing research can also be linked to SA. It was therefore the aim of this study to disentangle the effect of various previously identified SA associations and correlates on (1) a general SA factor, which represents the shared underpinnings of three SA facets, and (2) more confined, specific factors, using bifactor modelling. The associations and correlates of three recently validated SA operationalisations were compared in 2478 participants from the German AgeCoDe study, aged 75 years and above. Based on participants’ main occupation, cognitive reserve (CR) and motivational reserve (MR) models were built. Younger age, male gender, more education, higher socio-economic status, being married or widowed, as well as more physical exercise and cognitive activities in old age were found to correlate positively with the general SA factor, indicating a simultaneous effect on all aspects of SA. Smoking and ApoE-ε4 were related only to the physiological facet of SA. CR models were significantly related to the general SA factor. Among all SA associations and correlates, proxy indicators of lifelong cognitive activity and physical exercise showed the strongest effects on SA. Future intervention studies should assess the influence of the preservation of active lifestyle across the life span on SA.

Suggested Citation

  • Myriam V. Thoma & Luca Kleineidam & Simon Forstmeier & Andreas Maercker & Siegfried Weyerer & Marion Eisele & Hendrik den Bussche & Hans-Helmut König & Susanne Röhr & Janine Stein & Birgitt Wiese & Mi, 2021. "Associations and correlates of general versus specific successful ageing components," European Journal of Ageing, Springer, vol. 18(4), pages 549-563, December.
    • Handle: RePEc:spr:eujoag:v:18:y:2021:i:4:d:10.1007_s10433-020-00593-4
    DOI: 10.1007/s10433-020-00593-4
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    References listed on IDEAS

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