Scientific article
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Verbal Fluency Selectively Predicts Survival in Old and Very Old Age

Published inPsychological science, 09567976241311923
Publication date2025-02-24
First online date2025-02-24
Abstract

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: M = 84.92 years, SD = 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.

Keywords
  • Cognition
  • Aging
  • Verbal fluency
  • Joint multivariate longitudinal survival model
  • Mixed-effects model
  • Cox survival model
Funding
  • max-planck-gesellschaft [1989–1991]
  • freie universität berlin [13 TA 011]
  • bundesministerium für forschung und technologie [13 TA 011/A]
  • the German Federal Ministry for Family, Senior Citizens, Women, and Youth [1992–1998, 314-1722-102/9 and 314-1722-102/9a]
  • Berlin-Brandenburg Academy of Sciences [1994–1999]
Citation (ISO format)
GHISLETTA, Paolo et al. Verbal Fluency Selectively Predicts Survival in Old and Very Old Age. In: Psychological science, 2025, p. 09567976241311923. doi: 10.1177/09567976241311923
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Article (Published version)
Identifiers
Journal ISSN0956-7976
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328downloads

Technical informations

Creation25/02/2025 01:30:49
First validation07/03/2025 16:19:51
Update14/10/2025 12:35:23
Status update14/10/2025 12:35:23
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