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Associations and correlates of general versus specific successful ageing components
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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563891/ https://www.ncbi.nlm.nih.gov/pubmed/34786016 http://dx.doi.org/10.1007/s10433-020-00593-4 |
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author | Thoma, Myriam V. Kleineidam, Luca Forstmeier, Simon Maercker, Andreas Weyerer, Siegfried Eisele, Marion van den Bussche, Hendrik König, Hans-Helmut Röhr, Susanne Stein, Janine Wiese, Birgitt Pentzek, Michael Bickel, Horst Maier, Wolfgang Scherer, Martin Riedel-Heller, Steffi G. Wagner, Michael |
author_facet | Thoma, Myriam V. Kleineidam, Luca Forstmeier, Simon Maercker, Andreas Weyerer, Siegfried Eisele, Marion van den Bussche, Hendrik König, Hans-Helmut Röhr, Susanne Stein, Janine Wiese, Birgitt Pentzek, Michael Bickel, Horst Maier, Wolfgang Scherer, Martin Riedel-Heller, Steffi G. Wagner, Michael |
author_sort | Thoma, Myriam V. |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10433-020-00593-4) contains supplementary material, which is available to authorised users. |
format | Online Article Text |
id | pubmed-8563891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-85638912021-11-15 Associations and correlates of general versus specific successful ageing components Thoma, Myriam V. Kleineidam, Luca Forstmeier, Simon Maercker, Andreas Weyerer, Siegfried Eisele, Marion van den Bussche, Hendrik König, Hans-Helmut Röhr, Susanne Stein, Janine Wiese, Birgitt Pentzek, Michael Bickel, Horst Maier, Wolfgang Scherer, Martin Riedel-Heller, Steffi G. Wagner, Michael Eur J Ageing Original Investigation 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10433-020-00593-4) contains supplementary material, which is available to authorised users. Springer Netherlands 2020-12-12 /pmc/articles/PMC8563891/ /pubmed/34786016 http://dx.doi.org/10.1007/s10433-020-00593-4 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Investigation Thoma, Myriam V. Kleineidam, Luca Forstmeier, Simon Maercker, Andreas Weyerer, Siegfried Eisele, Marion van den Bussche, Hendrik König, Hans-Helmut Röhr, Susanne Stein, Janine Wiese, Birgitt Pentzek, Michael Bickel, Horst Maier, Wolfgang Scherer, Martin Riedel-Heller, Steffi G. Wagner, Michael Associations and correlates of general versus specific successful ageing components |
title | Associations and correlates of general versus specific successful ageing components |
title_full | Associations and correlates of general versus specific successful ageing components |
title_fullStr | Associations and correlates of general versus specific successful ageing components |
title_full_unstemmed | Associations and correlates of general versus specific successful ageing components |
title_short | Associations and correlates of general versus specific successful ageing components |
title_sort | associations and correlates of general versus specific successful ageing components |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563891/ https://www.ncbi.nlm.nih.gov/pubmed/34786016 http://dx.doi.org/10.1007/s10433-020-00593-4 |
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