Are Self-perceptions of Aging Associated With Health Trajectories Among Middle-Aged and Older Adults?
Abstract Background and Objectives Older adults’ health trajectory is often pictured as loss and decline. Recent literature has questioned this assumption. Conceptualizing health as a multidimensional construct, encompassing physical disabilities, functional limitations, chronic diseases, depressive...
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Veröffentlicht in: | The Gerontologist 2020-08, Vol.60 (5), p.841-850 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Abstract
Background and Objectives
Older adults’ health trajectory is often pictured as loss and decline. Recent literature has questioned this assumption. Conceptualizing health as a multidimensional construct, encompassing physical disabilities, functional limitations, chronic diseases, depressive symptoms, memory problems, and self-rated health, we investigated patterns of health trajectories among middle-aged and older adults in the United States. Moreover, we investigated the relationship between self-perceptions of aging (SPAs) and health trajectory patterns.
Research Design and Methods
We used latent class growth modeling to examine health trajectory patterns, based on longitudinal data with 4 measurement points over a 7-year period from a national sample of 10,212 middle-aged and older adults (aged 51 and older). Multinomial logit models were used to examine how health trajectory patterns were associated with baseline SPA.
Results
We identified 4 health trajectory patterns: accelerated aging, usual aging, depressed aging, and healthy aging. The full model shows that with each one-unit increase in negative SPA, the odds of belonging to an accelerated aging group, depressed aging group, and usual aging group (vs healthy aging group) increased by 26%, 17%, and 9%, respectively.
Discussion and Implications
The combination of health changes across different domains results in health trajectories that cannot be understood as simply a declining process. SPAs are associated with individuals’ trajectories of health. |
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ISSN: | 0016-9013 1758-5341 |
DOI: | 10.1093/geront/gnz092 |