Verbal Fluency Selectively Predicts Survival in Old and Very Old Age
Intelligence is known to predict survival, but it remains unclear whether cognitive abilities differ in their relationship to survival in old age. We analyzed longitudinal data of 516 healthy adults (age: <i>M</i> = 84.92 years, <i>SD</i> = 8.66 years at Wave 1) from the Berlin Aging Study (Germany) on nine tasks of perceptual speed, episodic memory, verbal fluency, and verbal knowledge, and a general composite intelligence score. There were eight waves, with up to 18 years of follow-up; all participants were deceased by the time of analysis. We used a joint multivariate longitudinal survival model to estimate the unique contribution of each cognitive ability in terms of true (i.e., error-free) current value and current rate of change when predicting survival. Additional survival covariates included age at first occasion, sex, sociobiographical status, and suspected dementia. Only the two verbal-fluency measures were uniquely predictive of mortality risk. Thus, verbal fluency showed more salient associations with mortality risk than did measures of perceptual speed, episodic memory, and verbal knowledge.
Authors
- Denis Gerstorf (ORCID: https://orcid.org/0000-0002-2133-9498)
- Stephen Aichele (ORCID: https://orcid.org/0000-0002-3397-7921)
- Angela Carollo (ORCID: https://orcid.org/0000-0002-5625-6553)
- Paolo Ghisletta (ORCID: https://orcid.org/0000-0001-7731-2406)
- Ulman Lindenberger (ORCID: https://orcid.org/0000-0001-8428-6453)
Institutions
- University of Geneva (CH)
- German Institute for Economic Research (DE)
- Colorado School of Public Health (US)
- Cal Poly Humboldt (US)
- Max Planck Institute for Human Development (DE)
- Max Planck Institute for Demographic Research (DE)
- Max Planck Institute for Biology of Ageing (DE)
- Colorado State University (US)
Publication Details
- Journal
- Psychological Science
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1177/09567976241311923
- Citations
- 3
- Primary Topic
- Aging and Gerontology Research
- Type
- article
- Field-Weighted Citation Impact
- 10.80
Funders
- Max-Planck-Gesellschaft
- Bundesministerium für Forschung und Technologie
- Freie Universität Berlin