Cognition-Mortality Associations Are More Pronounced When Estimated Jointly in Longitudinal and Time-to-Event Models Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.3389/fpsyg.2021.708361
With aging populations worldwide, there is growing interest in links between cognitive decline and elevated mortality risk—and, by extension, analytic approaches to further clarify these associations. Toward this end, some researchers have compared cognitive trajectories of survivors vs. decedents while others have examined longitudinal changes in cognition as predictive of mortality risk. A two-stage modeling framework is typically used in this latter approach; however, several recent studies have used joint longitudinal-survival modeling (i.e., estimating longitudinal change in cognition conditionally on mortality risk, and vice versa). Methodological differences inherent to these approaches may influence estimates of cognitive decline and cognition-mortality associations. These effects may vary across cognitive domains insofar as changes in broad fluid and crystallized abilities are differentially sensitive to aging and mortality risk. We compared these analytic approaches as applied to data from a large-sample, repeated-measures study of older adults ( N = 5,954; ages 50–87 years at assessment; 4,453 deceased at last census). Cognitive trajectories indicated worse performance in decedents and when estimated jointly with mortality risk, but this was attenuated after adjustment for health-related covariates. Better cognitive performance predicted lower mortality risk, and, importantly, cognition-mortality associations were more pronounced when estimated in joint models. Associations between mortality risk and crystallized abilities only emerged under joint estimation. This may have important implications for cognitive reserve, which posits that knowledge and skills considered well-preserved in later life (i.e., crystallized abilities) may compensate for declines in abilities more prone to neurodegeneration, such as recall memory and problem solving. Joint longitudinal-survival models thus appear to be important (and currently underutilized) for research in cognitive epidemiology.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpsyg.2021.708361
- https://www.frontiersin.org/articles/10.3389/fpsyg.2021.708361/pdf
- OA Status
- gold
- Cited By
- 10
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3189353284
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- OpenAlex ID
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https://openalex.org/W3189353284Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fpsyg.2021.708361Digital Object Identifier
- Title
-
Cognition-Mortality Associations Are More Pronounced When Estimated Jointly in Longitudinal and Time-to-Event ModelsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-08-06Full publication date if available
- Authors
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Stephen Aichele, Sezen Cekic, Patrick Rabbitt, Paolo GhislettaList of authors in order
- Landing page
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https://doi.org/10.3389/fpsyg.2021.708361Publisher landing page
- PDF URL
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https://www.frontiersin.org/articles/10.3389/fpsyg.2021.708361/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.frontiersin.org/articles/10.3389/fpsyg.2021.708361/pdfDirect OA link when available
- Concepts
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Cognition, Cognitive decline, Health and Retirement Study, Psychology, Longitudinal study, Demography, Gerontology, Recall, Covariate, Estimation, Developmental psychology, Medicine, Dementia, Cognitive psychology, Psychiatry, Disease, Econometrics, Internal medicine, Pathology, Management, Economics, SociologyTop concepts (fields/topics) attached by OpenAlex
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10Total citation count in OpenAlex
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2025: 3, 2024: 2, 2023: 2, 2022: 3Per-year citation counts (last 5 years)
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53Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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