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Selective review of cognitive aging
Open accessAbstract
Research concerned with relations between adult age and cognitive functioning is briefly reviewed. The coverage is necessarily selective, and is organized in terms of five major questions. These are what abilities are related to age, how many distinct influences are contributing to the relations between age and cognitive functioning, do the differences between people increase with advancing age, what is responsible for the discrepancies between cross-sectional and longitudinal age comparisons of cognitive functioning, and what methods can be used to identify causes of age-related influences on cognition. Although definitive answers are not yet possible, quite a bit of information relevant to the questions is now available. Moreover, the existing information has implications for the design, analysis, and interpretation of cognitive and neuropsychological research concerned with aging. ( JINS , 2010, 16 , 754–760.)
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“While crystallized cognition (e.g., acquired knowledge, vocabulary) is relatively preserved in late life, older adults’ ability to successfully manage day-to-day tasks can be negatively impacted by prototypical declines in fluid cognitive abilities (e.g., processing speed, attention, executive functioning) [2–4].”
From Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial (2023) · cites this paper as [3]
Experimental — accuracy not yet measuredIn the citing paper
“These changes typically manifest at ages younger than those at which plaque deposition typically begins.”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [245]
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“Lastly, it is worth noting that at least some elements of cognitive decline evolve throughout adulthood [195, 242-245].”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [245]
In the citing paper
“Cognitive speed and multitasking abilities, for example, become less robust with advancing age.”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [245]
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Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
When does age-related cognitive decline begin?
Salthouse, T. A. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.09.023 · Cited by 1,848
Self-citationExecutive Functioning as a Potential Mediator of Age-Related Cognitive Decline in Normal Adults.
Salthouse, T. A., Atkinson, T. M., & Berish, D. E. (2003) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.132.4.566 · Cited by 1,057
Self-citationIndividual differences in rates of change in cognitive abilities of older persons.
Wilson, R. S., Beckett, L. A., Barnes, L. L., Schneider, J. A., Bach, J., Evans, D. A., & Bennett, D. A. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.2.179 · Cited by 842
Rönnlund, M., Nyberg, L., Bäckman, L., & Nilsson, L.-G. (2005) · Psychology and Aging · doi:10.1037/0882-7974.20.1.3 · Cited by 839
The measurement of adult intelligence.
Cattell, R. B. (1943) · Psychological Bulletin · doi:10.1037/h0059973 · Cited by 698
der Elst, W. V., van Boxtel, M. P. J., van Breukelen, G., & Jolles, J. (2006) · Assessment · doi:10.1177/1073191105283427 · Cited by 687
Relations Between Cognitive Abilities and Measures of Executive Functioning.
Salthouse, T. A. (2005) · Neuropsychology · doi:10.1037/0894-4105.19.4.532 · Cited by 539
Self-citationDouble dissociation between item and source memory.
Glisky, E. L., Polster, M. R., & Routhieaux, B. C. (1995) · Neuropsychology · doi:10.1037/0894-4105.9.2.229 · Cited by 463
Developmental Influences on Adult Intelligence: The Seattle Longitudinal Study
Schaie, K. W. (2012) · Medical Entomology and Zoology · Cited by 449
Research works printed but not linked: 1
- Craik, 2008, Handbook of cognitive aging
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Fast Periodic Visual Stimulation indexes preserved semantic memory in healthy ageing
Milton, A., Rowland, A., Stothart, G., Clatworthy, P. L., Pennington, C. M., & Kazanina, N. (2020) · Scientific Reports · doi:10.1038/s41598-020-69929-5 · Cited by 11
Rouch, I., Dorey, J., Strippoli, M. F., Gholam‐Rezaee, M., Marques-Vidal, P. M., Laurent, B., von Gunten, A., & Preisig, M. (2021) · Journal of Pain · doi:10.1016/j.jpain.2021.01.007 · Cited by 11
McKay, N. S., Dincer, A., Mehrotra, V., Aschenbrenner, A. J., Balota, D. A., Hornbeck, R. C., Hassenstab, J. J., Morris, J. C., Benzinger, T. L. S., & Gordon, B. A. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.12.012 · Cited by 11
Age-Related Differences in Decision-Making: Evidence Accumulation is More Gradual in Older Age
Wieschen, E. M., Makani, A., Radev, S. T., Voß, A., & Spaniol, J. (2023) · Experimental Aging Research · doi:10.1080/0361073x.2023.2241333 · Cited by 13
Structural imaging in early pre-states of dementia
Smith, C. D. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.07.002 · Cited by 11
Hughes, J., Banerjee, T., Goodman, G., & Lawhorne, L. W. (2017) · Journal of Technology in Human Services · doi:10.1080/15228835.2017.1347553 · Cited by 11
Vandenberghe, V. (2020) · International Labour Review · doi:10.1111/ilr.12174 · Cited by 11
Gabel, V., Kass, M., Joyce, D. S., Spitschan, M., & Zeitzer, J. M. (2019) · Sleep And Breathing · doi:10.1007/s11325-019-01859-7 · Cited by 9
Physical fitness mediates the association between age and cognition in healthy adults
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Hamilton, O. K., Cox, S. R., Ballerini, L., Bastin, M., Corley, J., Gow, A. J., Maniega, S. M., Redmond, P. H., Hernández, M. D. C. V., Wardlaw, J. M., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.04.007 · Cited by 15
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Piazzi, L., Balata, D., Cecchi, E., Gennaro, P., & Serena, F. (2014) · Scientia Marina · doi:10.3989/scimar.03989.28a · Cited by 11
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Sanderson‐Cimino, M. E., Chen, R., Tu, X. M., Elman, J. A., Jak, A. J., & Kremen, W. S. (2023) · Neuropsychology · doi:10.1037/neu0000903 · Cited by 10
Atkin, C., Stacey, J. E., Roberts, K. L., Allen, H. A., Henshaw, H., & Badham, S. P. (2023) · Scientific Reports · doi:10.1038/s41598-023-41791-1 · Cited by 10
Jeong, D., & Hills, T. T. (2024) · Cognitive Science · doi:10.1111/cogs.70008 · Cited by 10
Boggero, I. A., Eisenlohr-Moul, T. A., & Segerstrom, S. C. (2015) · British Journal of Health Psychology · doi:10.1111/bjhp.12178 · Cited by 10
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Massaldjieva, R. (2018) · InTech eBooks · doi:10.5772/intechopen.73385 · Cited by 10
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Sullivan, K. L., Neighbors, C., Bucks, R. S., Weinborn, M., Gavett, B. E., & Woods, S. P. (2020) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2020.1849534 · Cited by 11
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Eschen, A. (2012) · GeroPsych · doi:10.1024/1662-9647/a000073 · Cited by 10
Wulff, D. U., Deyne, S. D., Aeschbach, S., & Mata, R. (2021) · doi:10.31234/osf.io/z3ebt · Cited by 10
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Kliesch, M., Giroud, N., & Meyer, M. E. (2021) · Brain Plasticity · doi:10.3233/bpl-200117 · Cited by 9
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McPhee, G. M., Downey, L. A., Noble, A., & Stough, C. K. K. (2016) · Medical Hypotheses · doi:10.1016/j.mehy.2016.09.002 · Cited by 9
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Schütz, H., Caspers, S., Moebus, S., & Lux, S. (2020) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5359 · Cited by 9
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Metadata
- Authors
- SALTHOUSE, T. A.
- Affiliations
- University of Virginia (US)
- Corresponding author
- SALTHOUSE, TIMOTHY A.
- Venue
- Journal of the International Neuropsychological Society
- Publisher
- Cambridge University Press (CUP)
- Published
- 2010-08-02
- Volume
- 16
- Issue
- 5
- Pages
- 754-760
- ISSN
- 1355-6177 (ISSN-L)
- 1469-7661
- PMC
- PMC3637655
- OpenAlex
- W2077435037
- Cited by
- 1,166
- References
- 35
- Citations by year
- 2026: 84 · 2025: 80 · 2024: 112 · 2023: 105 · 2022: 81 · 2021: 140 · 2020: 124 · 2019: 92 · 2018: 66 · 2017: 64 · 2016: 57 · 2015: 46 · 2014: 47 · 2013: 34 · 2012: 19
- FWCI
- 1.80
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of the International Neuropsychological Society (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Public Health Service (R37 024270)
- National Institute on Aging (R37AG024270)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- cognitive aging, age-related cognitive decline, individual differences in aging
- MeSH terms
- Aging, Cognition, Cognition Disorders, Cross-Sectional Studies, Humans
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