Retirement and cognition: a life course view
Open accessAbstract
This study examines the relationship between retirement and cognitive aging. We build on previous research by exploring how different specifications of retirement that reflect diverse pathways out of the labor market, including reason for leaving the pre-retirement job and duration spent in retirement, impact three domains of cognitive functioning. We further assess how early-life factors, including adolescent cognition, and mid-life work experiences, condition these relationships. To do so, we draw on longitudinal data from the Wisconsin Longitudinal Study, a cohort study of Wisconsin high school graduates collected prospectively starting in 1957 until most recently in 2011 when individuals were aged 71. Results indicate that retirement, on average, is associated with improved abstract reasoning, but not with verbal memory or verbal fluency. Yet, when accounting for the reason individuals left their pre-retirement job, those who had retired for health reasons had both lower verbal memory and verbal fluency scores and those who had retired voluntarily or for family reasons had improved abstract memory scores. Together, the results suggest that retirement has an inconsistent effect on cognitive aging across cognitive domains and that the conditions surrounding the retirement decision are important to understanding cognitive functioning at older ages.
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Those retiring because of ill health had lower verbal memory and fluency scores than those retiring for other reasons.
“Those retiring because of ill health had lower verbal memory and fluency scores than those retiring for other reasons.47”
From Dementia prevention, intervention, and care: 2020 report of the Lancet Commission (2020) · cites this paper as [47]
The Results and Discussion report lower word recall (verbal memory) and verbal fluency scores among people who retired for health reasons. However, the Results explicitly compare verbal fluency with people who remained working, not with people who retired for other reasons; the claimed comparator is not established. (LLM, conf=0.85)
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- Authors
- Denier, N., Clouston, S. A. P., Richards, M., & Hofer, S. M.
- Affiliations
- Colby College (US)
- Stony Brook Medicine (US)
- MRC Unit for Lifelong Health and Ageing (GB)
- University of Victoria (CA)
- Corresponding author
- Denier, Nicole
- Venue
- Advances in Life Course Research
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 31
- Pages
- 11-21
- ISSN
- 1040-2608 (ISSN-L)
- 1569-4909
- PMC
- PMC5539912
- OpenAlex
- W2534695715
- Cited by
- 39
- References
- 58
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 2 · 2023: 4 · 2022: 4 · 2021: 5 · 2020: 11 · 2019: 2 · 2017: 3
- FWCI
- 4.66
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Advances in Life Course Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wisconsin Longitudinal Study Pilot Grant
- UK Medical Research Council
- National Institute on Aging (AG-9775, AG-21079, AG-033285, AG-041868)
- Vilas Estate Trust
- National Science Foundation
- Spencer Foundation
- Graduate School of the University of Wisconsin-Madison
- Topics
- Social Sciences › Demography › Retirement, Disability, and Employment
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- retirement, cognitive aging, abstract thinking, verbal memory, verbal fluency, voluntary retirement, life course, adolescent cognition, Wisconsin Longitudinal Study
- MeSH terms
- Aged, Aging, Cognition, Female, Humans, Life Change Events, Longitudinal Studies, Male, Middle Aged, Retirement, Wisconsin
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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