Cited by 1,495Aging and Gerontology ResearchCognitive Abilities and TestingCognitive Functions and Memory

The DOI matches its Crossref record; 627 of the 627 references it cites were found in a registry or an index; 37 of the 405 sources its claims cite were checked for support.

Enrichment Effects on Adult Cognitive Development: Can the Functional Capacity of Older Adults Be Preserved and Enhanced?

Open access
Hertzog, Christopher, Kramer, Arthur F., Wilson, Robert S., Lindenberger, Ulman·2008·Psychological Science in the Public Interest

Abstract

In this monograph, we ask whether various kinds of intellectual, physical, and social activities produce cognitive enrichment effects—that is, whether they improve cognitive performance at different points of the adult life span, with a particular emphasis on old age. We begin with a theoretical framework that emphasizes the potential of behavior to influence levels of cognitive functioning. According to this framework, the undeniable presence of age-related decline in cognition does not invalidate the view that behavior can enhance cognitive functioning. Instead, the course of normal aging shapes a zone of possible functioning, which reflects person-specific endowments and age-related constraints. Individuals influence whether they function in the higher or lower ranges of this zone by engaging in or refraining from beneficial intellectual, physical, and social activities. From this point of view, the potential for positive change, or plasticity, is maintained in adult cognition. It is an argument that is supported by newer research in neuroscience showing neural plasticity in various aspects of central nervous system functioning, neurochemistry, and architecture. This view of human potential contrasts with static conceptions of cognition in old age, according to which decline in abilities is fixed and individuals cannot slow its course. Furthermore, any understanding of cognition as it occurs in everyday life must make a distinction between basic cognitive mechanisms and skills (such as working-memory capacity) and the functional use of cognition to achieve goals in specific situations. In practice, knowledge and expertise are critical for effective functioning, and the available evidence suggests that older adults effectively employ specific knowledge and expertise and can gain new knowledge when it is required. We conclude that, on balance, the available evidence favors the hypothesis that maintaining an intellectually engaged and physically active lifestyle promotes successful cognitive aging. First, cognitive-training studies have demonstrated that older adults can improve cognitive functioning when provided with intensive training in strategies that promote thinking and remembering. The early training literature suggested little transfer of function from specifically trained skills to new cognitive tasks; learning was highly specific to the cognitive processes targeted by training. Recently, however, a new generation of studies suggests that providing structured experience in situations demanding executive coordination of skills—such as complex video games, task-switching paradigms, and divided attention tasks—train strategic control over cognition that does show transfer to different task environments. These studies suggest that there is considerable reserve potential in older adults' cognition that can be enhanced through training. Second, a considerable number of studies indicate that maintaining a lifestyle that is intellectually stimulating predicts better maintenance of cognitive skills and is associated with a reduced risk of developing Alzheimer's disease in late life. Our review focuses on longitudinal evidence of a connection between an active lifestyle and enhanced cognition, because such evidence admits fewer rival explanations of observed effects (or lack of effects) than does cross-sectional evidence. The longitudinal evidence consistently shows that engaging in intellectually stimulating activities is associated with better cognitive functioning at later points in time. Other studies show that meaningful social engagement is also predictive of better maintenance of cognitive functioning in old age. These longitudinal findings are also open to important rival explanations, but overall, the available evidence suggests that activities can postpone decline, attenuate decline, or provide prosthetic benefit in the face of normative cognitive decline, while at the same time indicating that late-life cognitive changes can result in curtailment of activities. Given the complexity of the dynamic reciprocal relationships between stimulating activities and cognitive function in old age, additional research will be needed to address the extent to which observed effects validate a causal influence of an intellectually engaged lifestyle on cognition. Nevertheless, the hypothesis that an active lifestyle that requires cognitive effort has long-term benefits for older adults' cognition is at least consistent with the available data. Furthermore, new intervention research that involves multimodal interventions focusing on goal-directed action requiring cognition (such as reading to children) and social interaction will help to address whether an active lifestyle enhances cognitive function. Third, there is a parallel literature suggesting that physical activity, and aerobic exercise in particular, enhances older adults' cognitive function. Unlike the literature on an active lifestyle, there is already an impressive array of work with humans and animal populations showing that exercise interventions have substantial benefits for cognitive function, particularly for aspects of fluid intelligence and executive function. Recent neuroscience research on this topic indicates that exercise has substantial effects on brain morphology and function, representing a plausible brain substrate for the observed effects of aerobic exercise and other activities on cognition. Our review identifies a number of areas where additional research is needed to address critical questions. For example, there is considerable epidemiological evidence that stress and chronic psychological distress are negatively associated with changes in cognition. In contrast, less is known about how positive attributes, such as self-efficacy, a sense of control, and a sense of meaning in life, might contribute to preservation of cognitive function in old age. It is well known that certain personality characteristics such as conscientiousness predict adherence to an exercise regimen, but we do not know whether these attributes are also relevant to predicting maintenance of cognitive function or effective compensation for cognitive decline when it occurs. Likewise, more information is needed on the factors that encourage maintenance of an active lifestyle in old age in the face of elevated risk for physiological decline, mechanical wear and tear on the body, and incidence of diseases with disabling consequences, and whether efforts to maintain an active lifestyle are associated with successful aging, both in terms of cognitive function and psychological and emotional well-being. We also discuss briefly some interesting issues for society and public policy regarding cognitive-enrichment effects. For example, should efforts to enhance cognitive function be included as part of a general prevention model for enhancing health and vitality in old age? We also comment on the recent trend of business marketing interventions claimed to build brain power and prevent age-related cognitive decline, and the desirability of direct research evidence to back claims of effectiveness for specific products.

Overview

AI snapshot

Written from a shortened version of the paper’s full text (it is longer than we read).

TL;DR

This monograph reviews whether intellectual, physical, and social enrichment can preserve or improve adult cognition, especially in old age. It concludes that the evidence favors an active, engaged lifestyle, with the strongest support for aerobic exercise, but that causal mechanisms and long-term effects remain uncertain.

Key findings

  • Cognitive training can improve older adults’ performance on trained tasks. Early studies found narrow transfer, but newer executive-control, working-memory, and metacognitive training studies show some broader transfer. In the ACTIVE trial, more than 2,500 adults over 65 received about 10 sessions; gains were largely specific, with some 5-year benefits for reasoning training on self-reported instrumental activities.
  • Longitudinal studies link mentally stimulating activity to less cognitive decline and lower dementia incidence. In one study of 775 older adults, 90 developed Alzheimer’s disease; low activity was associated with about 2.5 times the risk of high activity. Another study of about 500 people aged 75+ found reduced dementia risk with more cognitive activity over up to 20 years.
  • Aerobic exercise shows the most consistent enrichment effects. A meta-analysis of 18 randomized fitness-training studies found a moderate overall effect size of .48, with the largest benefit for executive-control processes at .68. A separate meta-analysis in cognitively impaired older adults found an effect size of .57. In a study of 5,925 women, 24% of the least-active quartile declined cognitively versus 17% of the most-active quartile, about a 30% risk reduction.
  • Social engagement and lower chronic distress are also associated with better cognitive outcomes. High neuroticism was linked to nearly twice the Alzheimer’s risk in one study and to a nearly tenfold higher rate of episodic-memory decline; frequent social activity was associated with about 40% lower dementia risk in one population.

Methods

  • Design: integrative narrative review/monograph, not a new primary study. It develops a life-span theoretical framework and evaluates evidence for cognitive-enrichment effects.
  • Data/sample: synthesizes human and animal research, including cross-sectional studies, longitudinal panel studies, randomized interventions, meta-analyses, clinical-pathologic studies, neuroimaging, and enriched-environment/exercise animal models.
  • Main analysis: qualitative synthesis of evidence, with attention to rival explanations, methodological problems, effect sizes, transfer, maintenance, and policy/research implications.

Limitations

  • Stated: the literature is not definitive; enrichment effect sizes are often small; self-report activity measures have uncertain validity; observational studies cannot establish causality; training transfer is often narrow; maintenance is rarely assessed beyond 1–2 years; many training studies use fewer than 10 sessions; mechanisms remain unclear; long-term, multimodal, midlife, and biological research is needed.
  • Stated: cognitive enrichment is not a panacea; biological aging can be delayed but not prevented, and the limits of intervention have not been tested.
  • Evident from the text: as a narrative review, it does not use a systematic search or pooled meta-analytic estimate across all domains; conclusions depend on selected cited studies, and heterogeneity in designs, activity measures, and cognitive outcomes complicates direct comparison.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1111/j.1539-6053.2009.01034.x

Cites

627 of 627 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

37 of 405 cited sources checked · 19 supported · 0 flagged · accuracy not yet measured

Show all 325 claims

  • It may state two separate claims as one. 158
  • Probably not a substantial claim. 100
  • The quote only partly states this claim. 8
235 of 235
  • The authors state this as an assumption.

    Individuals possess at least some plasticity, this plasticity can be influenced by multiple factors, and its upper limits change with age.

    “it is useful to assume that individuals have at least some degree of plasticity, that is, potential for improvement (or decline); that this plasticity can be influenced by a number of factors; and that plasticity has upper limits that change with age.”
  • The authors state this as an assumption.

    The lower limit of the zone of possible development excludes acute pathological insult or traumatic incidents that harm cognition.

    “The lower limit as drawn in Figure 1 assumes that we are ruling out acute pathological insult or traumatic incidents that harm cognition (e.g., brain injury following an automobile accident).”
  • The authors state this as an assumption.

    The lower limit assumes a representative set of causal influences on cognition operating without producing cognitive enrichment.

    “it depicts an expected minimal level of function for this individual across the life course, assuming a representative set of causal influences on cognition are operating, but in a manner that produces no cognitive enrichment.”
  • The authors state this as an assumption.

    Cognitive function is influenced by the extent to which individuals develop relevant knowledge and expertise for and in a given cognitive domain.

    “Our treatment of the issue assumes that cognitive function is influenced by the extent to which individuals develop relevant knowledge and expertise for and in a given cognitive domain”
  • The authors state this as an assumption.

    Individuals' neurobiological status is influenced by their social context and personal behavior, and vice versa.

    “Another aspect of our perspective is the assumption that individuals' neurobiological status is influenced by their social context and personal behavior, and vice versa (e.g., Baltes, Reuter-Lorenz, & Ro ¨sler, 2006; Cacioppo, 2002; Li & Lindenberger, 2002).”
  • The paper relies on this without support.

    Findings from animal models of exercise, neurogenesis, neurotrophic factors, and distress can be extrapolated to human cognitive aging.

    “Extrapolating the animal data to the situation in humans, Kempermann (2008) proposes that”
    “That this animal research may have relevance to humans is suggested by studies of persons with psychiatric conditions characterized by very high levels of psychological distress.”
  • The paper relies on this without support.

    Findings from animal models of enriched environments and exercise generalize to human cognitive aging.

    “The exercise-intervention studies and animal population studies provide strong corroborative evidence for enrichment effects for social and physical activities.”
  • The paper relies on this without support.

    Self-report measures of activity validly index the relevant cognitive, physical, and social engagement for testing enrichment effects.

    “One influence limiting the magnitude of effect sizes is the typical use of somewhat crude self-report measures of activities that do not scale intellectual challenge or aerobic-exercise benefits in ways that validly measure individual differences in challenge and potential benefit.”
  • The paper relies on this without support.

    Biological aging mechanisms that influence brain functioning can only be delayed, not prevented, at least at present.

    “Moreover, at least at the present time, biological-aging mechanisms that influence brain functioning can only be delayed, not prevented.”
  • The paper relies on this without support.

    A wide range of variables can lead to cognitive decline.

    “A wide range of variables can lead to cognitive decline”
  • The paper relies on this without support.

    Physical activity can delay the onset of cognitive loss associated with dementia and normal aging.

    “For instance, physical activity can delay the onset of cognitive loss associated with dementia and normal aging.”
11 of 11

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Sturman study has conflicting publication years

    Minor

    The text cites the Sturman study as a 2006 publication, but its reference entry dates it to 2005.

  • Scarmeas study has conflicting publication years

    Minor

    The in-text citation gives 2001 for the Scarmeas, Albert, Manly, and Stern study, whereas the matching reference entry gives 2006.

  • Conflicting claims about adjustment for cognitive activity

    Minor

    The same discussion says the physical-activity association persisted after adjustment for cognitive activities, then says it was no longer significant after that adjustment. This reverses the stated interpretation of the result.

3 of 3

Citations

Cites

Items 201–400 of 627

Flagged first, then by citations

Research works printed but not linked: 30

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  2. Carlson M.C., Colcombe S.J., Kramer A.F., Mielke M., Fried L.P. (2006). Exploring effects of experience corps on neurocognitive function. Paper presented at the Cognitive Aging Conference, Atlanta, GA .
  3. Cherry K.E., 1999, Journal of Clinical Gerontology, 5, 159
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  6. Costa P.T., 1992, Revised NEO personality inventory (NEO-PI-R) and NEO five-factor inventory (NEO-FFI) professional manual
  7. Cotman C.W., 1995, Synaptic plasticity
  8. Dellenbach M., 2008, Aging, Neuropsychology, and Cognition, 27, 6
  9. Dunlosky J., 2005, Cognitive Technology, 10, 4
  10. Eysenck H.J., 1968, Manual of the Eysenck Personality Inventory
  11. Fries J.F., 1981, Vitality and aging
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  14. Hertzog C., Cognition in aging: Methodologies and applications
  15. Kausler D.H., 1994, Learning and memory in normal aging
  16. Langer E.J., 1989, Mindfulness
  17. Li S.-C., Imaging the aging brain
  18. Lindenberger U., 2006, Neuroscience and Biobehavioral Reviews, 30, 10.1016/j.neubiorev.2006.06.006 · DOI
  19. Martin L.G., 1994, The demography of aging
  20. Molenaar P.C.M., Current Directions in Psychological Research
  21. Nesselroade J.R., 1991, Visions of aesthetics, the environment and development: The legacy of Joachim Wohlwill, 213
  22. Raz N., 2000, Handbook of aging and cognition, 1
  23. Ribot T., 1882, Diseases of memory
  24. Rogers W.A., 1994, Journal of Experimental Psychology, 20, 710
  25. Salthouse T.A., 1991, Towards a general theory of expertise: Prospects and limits, 286
  26. Schneider B., 2000, Handbook of aging and cognition, 155
  27. 10.1093/geronj/48.5.P233 · DOI
  28. Tetens J.N., 1777, Philosophische Versuche über die menschliche Natur und ihre Entwicklung (Philosophical essays on human nature and its development)
  29. Willis S.L., 1996, Handbook of the psychology of aging, 287
  30. Wilson R.S., 2004, Journal of Neurology: Neurosurgery & Psychiatry, 75, 126

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Metadata

Authors
Hertzog, C., Kramer, A. F., Wilson, R. S., & Lindenberger, U.
Affiliations
  • Georgia Institute of Technology (US)
  • University of Illinois Urbana-Champaign (US)
  • Rush University Medical Center (US)
  • Max Planck Institute for Human Development (DE)
Venue
Psychological Science in the Public Interest
Published
2008-10
Volume
9
Issue
1
Pages
1-65
ISSN
  • 1539-6053 (ISSN-L)
  • 1529-1006
OpenAlex
W2115123524
Cited by
1,495
References
601
Citations by year
2026: 85 · 2025: 92 · 2024: 101 · 2023: 71 · 2022: 86 · 2021: 87 · 2020: 82 · 2019: 94 · 2018: 95 · 2017: 121 · 2016: 101 · 2015: 81 · 2014: 87 · 2013: 96 · 2012: 74
FWCI
50.47
Type
journal article
Language
en
Open access
Locations
  • Gothic.net (publishedVersion)
  • PubMed (publishedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • Max Planck Digital Library (submittedVersion, other-oa)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
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, transfer of training, neuroplasticity, intellectual engagement, physical activity, social engagement, cognitive reserve, Alzheimer's disease risk, cognitive decline, executive function, video games, task switching, divided attention, knowledge and expertise, adult cognitive development, cognitive plasticity

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