What Is Successful Aging? A Psychometric Validation Study of Different Construct Definitions

Author:

Kleineidam Luca12,Thoma Myriam V34,Maercker Andreas34,Bickel Horst5,Mösch Edelgard5,Hajek André6ORCID,König Hans-Helmut6,Eisele Marion7ORCID,Mallon Tina7,Luck Tobias89,Röhr Susanne8,Weyerer Siegfried10,Werle Jochen10,Pentzek Michael11,Fuchs Angela11,Wiese Birgitt12,Mamone Silke12,Scherer Martin7,Maier Wolfgang12,Riedel-Heller Steffi G8,Wagner, Michael12

Affiliation:

1. Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Germany

2. DZNE, German Center for Neurodegenerative Diseases, Bonn, Germany

3. Division of Psychopathology and Clinical Intervention, Department of Psychology, University of Zurich, Switzerland

4. University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Switzerland

5. Department of Psychiatry, Technical University of Munich, Germany

6. Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Germany

7. Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center, Hamburg-Eppendorf, Germany

8. Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Germany

9. Department of Economic and Social Sciences, University of Applied Sciences Nordhausen, Germany

10. Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany

11. Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Germany

12. WG Medical Statistics and IT-Infrastructure, Institute of General Practice, Hannover Medical School, Germany

Abstract

Abstract Background and Objectives We examined the validity of 5 successful aging (SA) operationalizations that assessed different facets of the SA construct (cognitive and physical health and disability; well-being; social engagement). Research Design and Methods A total of 2,478 participants (mean age = 82.5 years, standard deviation [SD] = 3.47) were studied. We used confirmatory factor analysis to investigate the relationships between facets and to determine the convergent validity as well as short-term (1.5 years) and long-term (4.5 years) predictive validity of the 5 SA operationalizations for measures of quality of life (QoL) and objective health outcomes. Results A general SA operationalization that included all SA facets but also allowed differences between them showed the best model fit and construct validity. A biomedical operationalization of SA that excluded either the well-being or the social engagement facet showed lower convergent and predictive validity for subjective measures (e.g., QoL) but higher associations with objective measures (e.g., health). A purely psychosocial SA operationalization that excluded the physiological facet did not allow good prediction of objective health outcomes. Discussion and Implications Our results suggest that a well-balanced SA operationalization should include measures assessing health, disability, well-being, and social engagement.

Funder

German Federal Ministry of Education and Research

Health Service Research Initiative

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Gerontology,General Medicine

Reference46 articles.

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