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Training versus engagement as paths to cognitive enrichment with aging.
Open accessAbstract
While a training model of cognitive intervention targets the improvement of particular skills through instruction and practice, an engagement model is based on the idea that being embedded in an intellectually and socially complex environment can impact cognition, perhaps even broadly, without explicit instruction. We contrasted these 2 models of cognitive enrichment by randomly assigning healthy older adults to a home-based inductive reasoning training program, a team-based competitive program in creative problem solving, or a wait-list control. As predicted, those in the training condition showed selective improvement in inductive reasoning. Those in the engagement condition, on the other hand, showed selective improvement in divergent thinking, a key ability exercised in creative problem solving. On average, then, both groups appeared to show ability-specific effects. However, moderators of change differed somewhat for those in the engagement and training interventions. Generally, those who started either intervention with a more positive cognitive profile showed more cognitive growth, suggesting that cognitive resources enabled individuals to take advantage of environmental enrichment. Only in the engagement condition did initial levels of openness and social network size moderate intervention effects on cognition, suggesting that comfort with novelty and an ability to manage social resources may be additional factors contributing to the capacity to take advantage of the environmental complexity associated with engagement. Collectively, these findings suggest that training and engagement models may offer alternative routes to cognitive resilience in late life.
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“This attempt to seek engagement in the intellectually challenging and enriched lifestyle could also lead to long-term cognitive resilience and socioemotional well-being during our late lifespan (e.g., [2,16,64,86,92,97,103]).”
From OK Google, Let's Learn: Using Voice User Interfaces for Informal Self-Regulated Learning of Health Topics among Younger and Older Adults (2023) · cites this paper as [103]
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Attendance at cultural events and physical exercise and health a randomized controlled study
Konlaan, B. B. (2000) · Public Health · doi:10.1016/s0033-3506(00)00354-1 · Cited by 35
Payne, B. R., & Stine‐Morrow, E. A. L. (2014) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbu103 · Cited by 33
Self-citationMethodological issues in behavioral intervention research with the elderly.
Willis, S. L. (2001) · Cited by 30
Stites, M. C., Federmeier, K. D., & Stine‐Morrow, E. A. L. (2013) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0032860 · Cited by 27
Self-citationChapter 5 Cognitive Resilience in Adulthood
Stine‐Morrow, E. A. L., & Chui, H. C. (2012) · Annual Review of Gerontology and Geriatrics · doi:10.1891/0198-8794.32.93 · Cited by 20
Self-citationAging Brain from a Network Science Perspective: Something to Be Positive About?
Voss, M. W., Wong, C. N., Baniqued, P. L., Burdette, J. H., Erickson, K. I., Prakash, R. S., McAuley, E., Laurienti, P. J., & Kramer, A. F. (2013) · PLoS ONE · doi:10.1371/journal.pone.0078345 · Cited by 17
Self-citationPredictors of crossword puzzle proficiency and moderators of age-cognition relations.
Hambrick, D. Z., Salthouse, T. A., & Meinz, E. J. (1999) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.128.2.131 · Cited by 10
The doctrine of formal discipline in the light of experimental investigation.
Hewins, N. P. (1914) · Journal of Educational Psychology · doi:10.1037/h0070498 · Cited by 9
A Practical Guide to Senior Odyssey
Stine‐Morrow, E. A. L., & Parisi, J. M. (2011) · Springer eBooks · doi:10.1007/978-1-4419-0636-6_9 · Cited by 6
Self-citationEducation and Learning: Lifespan Perspectives
Stine‐Morrow, E. A. L., & Payne, B. R. (2015) · Elsevier eBooks · doi:10.1016/b978-0-08-097086-8.92003-8 · Cited by 4
Self-citation
Flagged first, then by citations
1 of the 118 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
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Cited by
Sorted by citations
Does Cognitive Training Prevent Cognitive Decline?: A Systematic Review
Butler, M., McCreedy, E., Nelson, V. A., Desai, P., Ratner, E., Fink, H. A., Hemmy, L. S., McCarten, J. R., Barclay, T. R., Brasure, M., et al. (2018) · Annals of Internal Medicine · doi:10.7326/m17-1531 · Cited by 236
Cassarino, M., & Setti, A. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.06.003 · Cited by 200
Computerised cognitive training for preventing dementia in people with mild cognitive impairment
Gates, N. J., Vernooij, R. W. M., Nisio, M. D., Karim, S., March, E. G., Martínez, G., & Rutjes, A. W. (2019) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012279.pub2 · Cited by 186
The Role of Cognition, Personality, and Trust in Fraud Victimization in Older Adults
Judges, R. A., Gallant, S. N., Yang, L., & Lee, K. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00588 · Cited by 128
Cognitive effects of social media use: A case of older adults
Quinn, K. (2018) · Social Media + Society · doi:10.1177/2056305118787203 · Cited by 120
Metadata
- Authors
- Stine-Morrow, E. A. L., Payne, B. R., Roberts, B. W., Kramer, A. F., Morrow, D. G., Payne, L., Hill, P. L., Jackson, J. J., Gao, X., Noh, S. R., Janke, M. C., & Parisi, J. M.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Carleton University (CA)
- Washington University in St. Louis (US)
- Max Planck Society (DE)
- Sungkyunkwan University (KR)
- East Carolina University (US)
- Johns Hopkins University (US)
- ORCID
- Venue
- Psychology and Aging
- Published
- 2014-12
- Volume
- 29
- Issue
- 4
- Pages
- 891-906
- ISSN
- 0882-7974 (ISSN-L)
- 1939-1498
- PMC
- PMC4361254
- OpenAlex
- W2094522386
- Semantic Scholar
- 906dd53be07b6506ef38320c9f2b26ca2853a954
- Cited by
- 109
- References
- 118
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 6 · 2023: 7 · 2022: 11 · 2021: 5 · 2020: 9 · 2019: 13 · 2018: 12 · 2017: 13 · 2016: 15 · 2015: 7 · 2014: 1
- FWCI
- 18.07
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychology and Aging (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion, public-domain)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- National Institute on Aging (R01 AG029475)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- cognitive enrichment, cognitive aging, older adults, cognitive training, environmental enrichment, inductive reasoning, divergent thinking, creative problem solving, team-based intervention, cognitive resilience, openness to experience, social network size, home-based intervention
- MeSH terms
- Aged, Aged, 80 and over, Aging, Cognition, Competitive Behavior, Environment, Female, Group Processes, Humans, Human Activities, Logic, Male, Middle Aged, Models, Psychological, Patient Compliance, Patient Dropouts, Problem Solving, Social Support, Biomedical Enhancement
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.
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