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5 - Resilience in the face of cognitive aging:

experience, adaptation, and compensation

Published online by Cambridge University Press:  06 December 2010

By
Christopher Hertzog  and
Daniela S. Jopp
Edited by
Prem S. Fry  and
Corey L. M. Keyes
Prem S. Fry
Affiliation:
Trinity Western University, British Columbia
Corey L. M. Keyes
Affiliation:
Emory University, Atlanta
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Summary

Abstract

We articulate a lifespan developmental perspective on gains and losses in cognitive functioning during adulthood. This perspective argues that older adults function effectively in ways that preserve goal attainment in cognitively demanding situations despite age-related cognitive decline. Moreover, because individuals grow and age in self-selected contexts, they can successfully use expertise and knowledge, practiced routines of behavior, and reliance on sources of support in their environment to maximize their functional capacity. Metacognitive self-regulation and an active lifestyle can be important means for older adults to preserve cognitive capacity and to effectively compensate for declines in cognitive mechanisms as they occur.

Introduction

A chapter on cognitive resilience should probably start with a definition about it. Is it to think as fast as one did in younger years? Does it involve being as bright and sharp as possible, despite advancing age? Is it about recovering from strokes or other age-related insults to the brain? Is it manifested by showing no signs of decline in all or most cognitive abilities? Or is it about maintaining an active mind until old age? Does it concern keeping one's functional autonomy through preserving the ability to manage one's own affairs in everyday life? Proposing such a definition is not a trivial task, and it requires some insight into theoretical background and ongoing discussions. We begin by treating some core theoretical issues before coming back to propose a definition of cognitive resilience, framed within an important theoretical perspective on development and growth from lifespan developmental psychology.

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Information
New Frontiers in Resilient Aging
Life-Strengths and Well-Being in Late Life
 , pp. 130 - 161
Publisher: Cambridge University Press
Print publication year: 2010

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References

Abbott, R. D., White, L. R., Ross, G. W., Masaki, K. H., Curb, J. D., and Petrovitch, H. (2004). Walking and dementia in physically capable elderly. Journal of the American Medical Association, 292, 1447–1453.CrossRefGoogle ScholarPubMed
Ackerman, P. L. (2000). Domain-specific knowledge as the ‘dark matter’ of adult intelligence: Gf/Gc personality and interest correlates. Journal of Gerontology: Psychological Sciences, 55, P69–P84.CrossRefGoogle Scholar
Andel, R., Cowe, M., Pedersen, N. L., et al. (2005). Complexity of work and risk of Alzheimer's disease: A population-based study of Swedish twins. Journal of Gerontology: Psychological Science, 60B, P251−P258.Google Scholar
Andersen-Ranberg, K., Schroll, M., and Jeune, B. (2001). Healthy centenar­ians do not exist, but autonomous do: A population-based study of morbidity among Danish centenarians. Journal of the American Geriatrics Society, 49, 900–908.CrossRefGoogle Scholar
Anstey, K. J., Luszcz, M. A., Giles, L. C. and Andrews, G. R. (2001). Demographic, health, cognitive, and sensory variables as predictors of mortality in very old age. Psychology and Aging, 16, 3–11.CrossRefGoogle Scholar
Artistico, D., Cervone, D., and Pezzuti, L. (2003). Perceived self-efficacy and everyday problem solving among young and older adults. Psychology and Aging, 18, 68–79.CrossRefGoogle ScholarPubMed
Bäckman, L, and Dixon, R. A. (1987). Psychological compensation: A theoretical framework. Psychological Bulletin, 112, 259–283.CrossRefGoogle Scholar
Bäckman, L., and Karlsson, T. (1985). The relation between level of general knowledge and feeling-of-knowing: An adult age study. Scandinavian Journal of Psychology, 26, 249–258.CrossRefGoogle ScholarPubMed
Baltes, P. B. (1987). Theoretical propositions of life-span developmental psychology: On the dynamics between growth and decline. Developmental Psychology, 23, 611–626.CrossRefGoogle Scholar
Baltes, P. B. (1997). On the incomplete architecture of human ontogeny: Selection, optimization, and compensation as a foundation for developmental theory. American Psychologist, 52, 366–380.CrossRefGoogle ScholarPubMed
Baltes, P. B., and Baltes, M. M. (eds.) (eds.). (1990). Successful aging: Perspectives from the behavioral sciences. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Baltes, P. B., and Staudinger, U. M. (2000). Wisdom: A metaheuristic (pragmatic) to orchestrate mind and virtue toward excellence. American Psychologist, 55, 122–136.CrossRefGoogle ScholarPubMed
Baltes, P. B., Staudinger, U. M., and Lindenberger, U. (1999). Lifespan psychology: Theory and application to intellectual development. Annual Review of Psychology, 50, 471–507.CrossRefGoogle Scholar
Baltes, P. B., and Willis, S. W. (1977). Toward psychological theories of aging and development. In Birren, J. E. and Schaie, K. W. (eds.), Handbook of the psychology of aging (pp. 128–154). New York: Van Nostrand Reinhold.Google Scholar
Bandura, A. (1989). Regulation of cognitive processes through self-efficacy. Developmental Psychology, 25, 729–735.CrossRefGoogle Scholar
Bandura, A. (1997). Self efficacy: The exercise of control. New York: Freeman.Google Scholar
Beier, M., and Ackerman, P. L. (2005). Age, ability, and the role of prior knowledge on the acquisition of new domain knowledge: Promising results in a real-world learning environment. Psychology and Aging, 20, 341–355.CrossRefGoogle Scholar
Berry, J. M. (1999). Memory self-efficacy in its social cognitive context. In Hess, T. M. and Blanchard-Fields, F. (eds.), Social cognition and aging (pp. 69–96). San Diego, CA: Academic Press.Google Scholar
Birren, J. E. (1964). The psychology of aging. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Bissig, D., and Lustig, C. (2007). Who benefits from memory training?Psychological Science, 18, 720–726.CrossRefGoogle ScholarPubMed
Black, J. E., Isaacs, K. S., Anderson, B. J., Alcantara, A. A., and Greenough, W. T. (1990). Learning causes synaptogenesis, whereas motor activity causes angiogenesis in cerebellar cortex of adult rats. Proceedings of the National Academy of Sciences, USA, 87, 5568–5572.CrossRefGoogle ScholarPubMed
Boerner, K., and Jopp, D. (2007). Improvement/maintenance and reorientation as central features of coping with major life change and loss: Contributions of three life-span theories. Human Development, 50, 171–195.CrossRefGoogle Scholar
Boerner, K., and Jopp, D. (2009). Resilience in response to loss. In Reich, J. W., Zautra, A. J., and Hall, J. S. (Eds), Handbook of adult resilience (pp. 126–145). New York: Guilford.Google Scholar
Bosworth, H. B., Schaie, K. W., and Willis, S. L. (1999). Cognitive and sociodemographic risk factors for mortality in the Seattle Longitudinal Study. The Journals of Gerontology: Psychological Sciences, 54B, P273–P282.CrossRefGoogle Scholar
Brandtstädter, J. (1999). Sources of resilience in the aging self. In Blanchard-Fields, F. and Hess, T. (eds.), Social cognition and aging (pp. 123–141). New York: Academic Press.Google Scholar
Brehmer, Y., Li, S. C., Müller, V., Oertzen, T. V., and Lindenberger, U. (2007). Memory plasticity across the life span: Uncovering children's latent potential. Developmental Psychology, 43, 465–478.CrossRefGoogle ScholarPubMed
Butterfield, E. C., Nelson, T. O., and Peck, V. (1988). Developmental aspects of the feeling-of-knowing. Developmental Psychology, 24, 654–663.CrossRefGoogle Scholar
Cabeza, R., Nyberg, L., and Park, D. C. (eds.) (2005). Cognitive neuroscience of aging. Oxford: Oxford University Press.Google Scholar
Camp, C. J. (2006). Spaced retrieval: A model for dissemination of a cognitive intervention with persons of dementia. In Attix, D. K. and Welsh-Mohmer, K. A. (eds.), Geriatric neuropsychology: Assessment and intervention (pp. 275–292). New York: Guilford.Google Scholar
Camp, C. J., Foss, J. W., O'Hanlon, A. M., and Stevens, A. B. (1996). Memory interventions for persons with dementia. Applied Cognitive Psychology, 10, 193–210.3.0.CO;2-4>CrossRefGoogle Scholar
Cianciolo, A. T., Grigorenko, E. L., Jarvin, L, Gil, G., Drebot, M. E., and Sternberg, R. J. (2006). Practical intelligence and tacit knowledge: Advances in the measurement of developing expertise. Learning and Individual Differences, 16, 235–253.CrossRefGoogle Scholar
Clarkson-Smith, L., and Hartley, A. A. (1990). Structural equation models of relationships between exercise and cognitive abilities. Psychology and Aging, 5, 437–446.CrossRefGoogle ScholarPubMed
Colcombe, S., and Kramer, A. F. (2003). Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychological Science, 14, 125–130.CrossRefGoogle ScholarPubMed
Colonia-Willner, R. (1998). Practical intelligence at work: Relationships between aging and cognitive efficiency among managers in a bank environment. Psychology and Aging, 13, 45–57.CrossRefGoogle Scholar
Connor, L. T., Dunlosky, J., and Hertzog, C. (1997). Age-related differences in absolute but not relative memory accuracy. Psychology and Aging, 12, 50–71.CrossRefGoogle ScholarPubMed
Davidson, H., Dixon, R. A., and Hultsch, D. F. (1991). Memory anxiety and memory performance in adulthood. Applied Cognitive Psychology, 5, 423–433.CrossRefGoogle Scholar
Frias, C. M., Dixon, R. A., and Bäckman, L. (2003). Use of memory compensation strategies is related to psychosocial and health indicators. The Journals of Gerontology: Psychological Sciences and Social Sciences, 58B, P12–P22.CrossRefGoogle Scholar
DiPietro, L. (2001). Physical activity in aging: Changes in patterns and their relationship to health and function. The Journals of Gerontology: Biological Sciences and Medical Sciences, 56A (special issue II), M13–M22.CrossRefGoogle Scholar
Dixon, R. A. (2000). Concepts and mechanisms of gains in cognitive aging. In Park, D. C. and Schwarz, N. (eds.), Cognitive aging: A primer (pp. 23–41). Philadelphia, PA: Psychology Press.Google Scholar
Dixon, R. A., and Hertzog, C. (1988). A functional approach to memory and metamemory development in adulthood. In Weinert, F. and Perlmutter, M. (eds.), Memory development: Universal changes and individual differences (pp. 293–330). Hillsdale, NJ: Erlbaum.Google Scholar
Dixon, R. A., and Hertzog, C. (1996). Theoretical issues in cognitive aging. In Blanchard-Fields, F. and Hess, T. (eds.), Perspectives on cognitive change in adult development and aging (pp. 25–65). New York: McGraw-Hill.Google Scholar
Dunlosky, J., Cavallini, E., Roth, H., McGuire, C. L., Vecchi, T., and Hertzog, C. (2007). Do self-monitoring interventions improve older adults' learning?The Journals of Gerontology: Psychological Sciences, 62B (special issue I), 70–76.CrossRefGoogle Scholar
Dunlosky, J., and Hertzog, C. (1997). Older and younger adults use a functionally identical algorithm to select items for restudy during multi-trial learning. Journal of Gerontology: Psychological Sciences, 52, 178–186.CrossRefGoogle Scholar
Dunlosky, J., and Hertzog, C. (2000). Updating knowledge about encoding strategies: A componential analysis of learning about strategy effectiveness from task experience. Psychology and Aging, 15, 462–474.CrossRefGoogle ScholarPubMed
Dunlosky, J., and Hertzog, C. (2001). Measuring strategy production during associative learning: The relative utility of concurrent versus retrospective reports. Memory and Cognition, 29, 247–253.CrossRefGoogle ScholarPubMed
Dunlosky, J., Hertzog, C., and Powell-Moman, A. (2005). The contribution of five mediator-based deficiencies to age-related differences in associative learning. Developmental Psychology, 41, 389–400.CrossRefGoogle Scholar
Dunlosky, J., Kubat-Silman, A., and Hertzog, C. (2003). Training metacognitive skills improves older adults' associative learning. Psychology and Aging, 18, 340–345.CrossRefGoogle Scholar
Dunlosky, J., and Metcalfe, J. (2009). Metacognition. Thousand Oaks, CA: Sage.Google Scholar
Dweck, C. S., and Leggett, E. L. (1988). A social-cognitive approach to motivation and personality. Psychological Review, 95, 256–273.CrossRefGoogle Scholar
Ebner, N. C., Freund, A. M., and Baltes, P. B. (2006). Developmental changes in personal goal orientation from young to late adulthood: From striving for gains to maintenance and prevention of losses. Psychology and Aging, 21, 664–678.CrossRefGoogle Scholar
Edwards, J. D., Ross, L. A., Ackerman, M. L., et al. (2008). Longitudinal predictors of driving cessation among older adults from the ACTIVE clinical trial. The Journals of Gerontology: Psychological Sciences and Social Sciences, 63B, P6–P12.CrossRefGoogle Scholar
Elliott, E. and Lachman, M. E. (1989). Enhancing memory by modifying control beliefs, attributions, and performance goals in the elderly. In Fry, P.S. (ed.), Psychological perspectives of helplessness and control in the elderly (pp. 339–367). Oxford: North-Holland.Google Scholar
Fordyce, D. E., and Farrar, R. P. (1991). Enhancement of spatial learning in F344 rats by physical activity and related learning-associated alterations in hippocampal and cortical cholinergic functioning. Behavioral Brain Research, 46, 123–133.CrossRefGoogle ScholarPubMed
Fratiglioni, L., Wang, H. X., Ericsson, K., Maytan, M., and Winblad, B. (2000). Influence of social network on occurrence of dementia: A community-based longitudinal study. Lancet, 355, 1315–1319.CrossRefGoogle ScholarPubMed
Freund, A. M., and Baltes, P. B. (1999). Selection, optimization, and compensation as strategies of life management: Corrections to Freund and Baltes (1998). Psychology and Aging, 14, 700–702.CrossRefGoogle Scholar
Freund, A. M., and Baltes, P. B. (2002). The adaptiveness of selection, optimization, and compensation as strategies of life management: Evidence from a preference study on ­proverbs. The Journals of Gerontology: Psychological Sciences, 57B, P426–P434.CrossRefGoogle Scholar
Greenwood, P. M. (2007). Functional plasticity in cognitive aging: Review and hypothesis. Neuropsychology, 21, 657–673.CrossRefGoogle ScholarPubMed
Greve, W., and Staudinger, U. M. (2006). Resilience in later adulthood and old age: Resources and potentials for successful aging. In Cicchetti, D. and Cohen, A. (eds.), Developmental psychopathology (2nd edn., pp. 796–840).
Henry, J. D., MacLeod, M., phillips, L. H., and Crawford, J. R. (2004). Meta-analytic review of prospective memory and aging. Psychology and Aging, 19, 27–39.CrossRefGoogle ScholarPubMed
Hertzog, C. ( 2002). Metacognition in older adults: Implications for application. In Perfect, T. J. and Schwartz, B. L. (eds.), Applied metacognition (pp. 169–196). New York: Cambridge University Press.Google Scholar
Hertzog, C. (2008). Theoretical approaches to the study of cognitive aging: An individual differences perspective. In Hofer, S. M. and Alwin, D. F. (eds.), Handbook of cognitive aging (pp. 34–49). Thousand Oaks, CA: Sage Publications.Google Scholar
Hertzog, C., Cooper, B. P., and Fisk, A. D. (1996). Aging and individual differences in the development of skilled memory search performance. Psychology and Aging, 11, 497–520.CrossRefGoogle ScholarPubMed
Hertzog, C., Dixon, R. A., Hultsch, D. F., and MacDonald, S. W. S. (2003). Latent change models of adult cognition: Are changes in processing speed and working memory associated with changes in episodic memory?Psychology and Aging, 18, 755–769.CrossRefGoogle ScholarPubMed
Hertzog, C., Dunlosky, J., and Robinson, A. E. (2008). Intellectual abilities and metacognitive beliefs influence spontaneous use of effective encoding strategies. Unpublished manuscript.
Hertzog, C., Kidder, D. P., Powell-Moman, A., and Dunlosky, J. (2002). Aging and monitoring associative learning: Is monitoring accuracy spared or impaired?Psychology and Aging, 17, 209–225.CrossRefGoogle ScholarPubMed
Hertzog, C., Kramer, A. F., Wilson, R. S., and Lindenberger, U. (2009). Enrichment effects on adult cognitive development: Can the functional capacity of older adults be preserved and enhanced? Psychological Science in the Public Interest (Supplement to Psychological Science). Washington, DC: Association for Psychological Science.Google Scholar
Hertzog, C., McGuire, C. L., Horhota, M., and Jopp, D. (2010). Age differences in theories about memory control: Does believing in “use it or lose it” have implications for self-rated memory control, strategy use, and free recall performance? International Journal of Aging and Human Development, 70, 61–87.
Hertzog, C., McGuire, C. L., and Lineweaver, T. T. (1998). Aging, attributions, perceived control, and strategy use in a free recall task. Aging, Neuropsychology, and Cognition, 5, 85–106.CrossRefGoogle Scholar
Hess, T. M. (2005). Memory and aging in context. Psychological Bulletin, 131, 383–406.CrossRefGoogle ScholarPubMed
Hess, T. M. (2006). Attitudes toward aging and their effects on behavior. In Birren, J. E. and Schaie, K. W. (eds.), Handbook of the psychology of aging (6th edn., pp. 379–406). San Diego, CA: Academic Press.Google Scholar
Hess, T. M., Auman, C., Colcombe, S. J., and Rahhal, T. A. (2003). The impact of stereotype threat on age differences in memory performance. The Journals of Gerontology: Psychological Sciences, 58B, P3–P11.CrossRefGoogle Scholar
Horn, J. L. (1989). Models of intelligence. In Linn, R. L. (ed.), Intelligence: Measurement, theory, and public policy (pp. 29–73). Urbana, IL: University of Illinois Press.Google Scholar
Hoyer, W. J., and Verhaeghen, P. (2006). Memory aging. In Birren, J. E. and Schaie, K. W. (eds.), Handbook of the psychology of aging (6th edn., pp. 209–232). San Diego, CA: Academic Press.Google Scholar
Hultsch, D. F., Hertzog, C., and Dixon, R. (1987). Age differences in metamemory: Resolving the inconsistencies. Canadian Journal of Psychology, 41, 193–208.CrossRefGoogle ScholarPubMed
Hultsch, D. F., Hertzog, C., Dixon, R. A., and Small, B. J. (1998). Memory change in the aged. New York: Cambridge University Press.Google Scholar
Hultsch, D. F., Small, B. J., Hertzog, C., and Dixon, R. A. (1999). Use it or lose it: Engaged lifestyle as a buffer of cognitive decline in aging. Psychology and Aging, 14, 245–263.CrossRefGoogle Scholar
Isaacowitz, D. M, and Smith, J. (2003). Positive and negative affect in very old age. The Journals of Gerontology: Psychological Sciences, 58B, P143–152.CrossRefGoogle Scholar
Jennings, J. M., Webster, L. M., Kleykamp, B. A., and Dagenbach, D. (2005). Recollection training and transfer effects in older adults: Successful use of a repetition-lag procedure. Aging, Neuropsychology and Cognition, 12, 278–298.CrossRefGoogle ScholarPubMed
Jopp, D. (2003). Erfolgreiches Altern: Zum funktionalen Zusammenspiel von personalen Ressourcen und adaptiven Strategien des Lebensmanagements [Successful aging: On the functional interplay between personal resources and adaptive life-management strategies]. Doctoral dissertation, Free University of Berlin, Germany.
Jopp, D., and Hertzog, C. (2007). Activities, self-referent memory beliefs, and cognitive performance: Evidence for direct and mediated effects. Psychology and Aging, 22, 811–825.CrossRefGoogle Scholar
Jopp, D., and Hertzog, C. (2010). Assessing adult leisure activities: An extension of a self-report activity questionnaire. Psychological Assessment, 22, 108–120CrossRefGoogle ScholarPubMed
Jopp, D., and Lindenberger, U. (2009). Adults' beliefs about cognition: Age-based increase in the relation to performance. Unpublished manuscript.
Jopp, D., and Smith, J. (2006). Resources and life-management strategies as determinants of successful aging: On the protective effect of selection, optimization, and compensation. Psychology and Aging, 21, 253–265.CrossRefGoogle ScholarPubMed
Kanfer, R., and Ackerman, P. L. (2004). Aging, adult development, and work motivation. Academy of Management Review, 29, 440–458.CrossRefGoogle Scholar
Kausler, D. H. (1994). Learning and memory in normal aging. San Diego, CA: Academic Press.Google Scholar
Kempermann, G. (2008). The neurogenic reserve hypothesis: What is adult hippocampal neurogenesis good for?Trends in Neuroscience, 31, 163–169.CrossRefGoogle Scholar
Kliegel, M., Moor, C., and Rott, C. (2004). Cognitive status and development in the oldest old: A longitudinal analysis from the Heidelberg Centenarian Study. Archives of Gerontology and Geriatrics, 39, 143–156.CrossRefGoogle ScholarPubMed
Kramer, A. F., and Willis, S. L. (2002). Enhancing the cognitive vitality of older adults. Current Directions in Psychological Science, 11, 173–177.CrossRefGoogle Scholar
Labouvie-Vief, G. (1982). Dynamic development and mature autonomy: A theoretical prologue. Human Development, 25, 161–191.CrossRefGoogle Scholar
Lachman, M. E., and Andreoletti, C. (2006). Strategy use mediates the relationship between control beliefs and memory performance for ­middle-aged and older adults. The Journals of Gerontology: Psychological Sciences and Social Sciences, 61B, P88–P94.CrossRefGoogle Scholar
Lachman, M. E., Andreoletti, C., and Pearman, A. (2006). Memory control beliefs: How are they related to age, strategy use, and memory improvement?Social Cognition, 24, 359–385.CrossRefGoogle Scholar
Lane, C. J., and Zelinski, E. M. (2003). Longitudinal hierarchical linear ­models of the Memory Functioning Questionnaire. Psychology and Aging, 18, 38–53.CrossRefGoogle ScholarPubMed
Lerner, R. M. (1984). On the nature of human plasticity. New York: Cambridge University Press.CrossRefGoogle Scholar
Levy, B. (1996). Improving memory in old age by implicit self-stereotyping. Journal of Personality and Social Psychology, 71, 1092–1107.CrossRefGoogle ScholarPubMed
Lindenberger, U., and Baltes, P. B. (1997). Intellectual functioning in old and very old age: Cross-sectional results from the Berlin Aging Study. Psychology and Aging, 12, 410–432.CrossRefGoogle ScholarPubMed
Lineweaver, T. T., Berger, A. K., and Hertzog, C. (2009). Expectations about memory change are impacted by aging stereotypes. Psychology and Aging, 24, 169–176.CrossRefGoogle ScholarPubMed
Lineweaver, T. T., and Hertzog, C. (1998). Adults' efficacy and control beliefs regarding memory and aging: Separating general from personal beliefs. Aging, Neuropsychology, and Cognition, 5, 264–296.CrossRefGoogle Scholar
Loewen, E. R., Shaw, R. J., and Craik, F. I. M. (1990). Age differences in components of metamemory. Experimental Aging Research, 16, 43–48.CrossRefGoogle ScholarPubMed
Lövdén, M., Ghisletta, P., and Lindenberger, U. (2005). Social participation attenuates decline in perceptual speed in old and very old age. Psychology and Aging, 20, 423–434.CrossRefGoogle ScholarPubMed
Luszcz, M., and Hinton, M. (1995). Domain- and task-specific beliefs about memory in adulthood: A microgenetic approach. (Special issue: Cognitive development). Australian Journal of Psychology, 47, 54–59.CrossRefGoogle Scholar
Masunaga, H., and Horn, J. L. (2001). Expertise and age-related changes in components of intelligence. Psychology and Aging, 16, 293–311.CrossRefGoogle ScholarPubMed
McDaniel, M. A., Einstein, G. O., and Rendell, P. G. (2008). The puzzle of inconsistent age-related declines in prospective memory: A multiprocess explanation. In Kliegel, M., McDaniel, M. A., and Einstein, G. O. (eds.), Prospective memory: Cognitive, neuroscience, developmental, and applied perspectives (pp. 141–160). Mahwah, NJ: Erlbaum.Google Scholar
McDonald-Miszczak, L., Hertzog, C., and Hultsch, D. F. (1995). Stability and accuracy of metamemory in adulthood and aging. Psychology and Aging, 10, 553–564.CrossRefGoogle ScholarPubMed
Ng, T. W. H., and Feldman, D. C. (2008). The relationship of age to ten dimensions of job performance. Journal of Applied Psychology, 93, 392–423.CrossRefGoogle ScholarPubMed
Ong, A. D., Bergeman, C. S., Bisconti, T. L., and Wallace, K. A. (2006). Psychological resilience, positive emotions, and successful adaptation to stress in later life. Journal of Personality and Social Psychology, 91, 730–749.CrossRefGoogle ScholarPubMed
Orrell, M., Butler, R., and Bebbington, P. (2000). Social factors and the outcome of dementia. International Journal of Geriatric Psychiatry, 15, 515–520.3.0.CO;2-U>CrossRefGoogle Scholar
Park, D. C., Hertzog, C., Leventhal, H.et al. (1999). Medication adherence in rheumatoid arthritis patients: Older is wiser. Journal of the American Geriatrics Society, 47, 172–183.CrossRefGoogle ScholarPubMed
Park, D. C., and Reuter-Lorenz, P. (2009). The adaptive brain: Aging and neurocognitive scaffolding. Annual Review of Psychology, 60, 173–196.CrossRefGoogle ScholarPubMed
Park, D. C., and Schwarz, N. (eds.) (2000). Cognitive aging: A primer. Philadelphia, PA: Psychology Press.Google Scholar
Price, J., Hertzog, C., and Dunlosky, J. (2008). Age-related differences in strategy knowledge updating: Blocked testing produces greater improvements in metacognitive accuracy for younger than older adults. Aging, Neuropsychology, and Cognition, 15, 601–626.CrossRefGoogle ScholarPubMed
Price, J., Hertzog, C., and Dunlosky, J. (in press). Self-regulated learning in younger and older adults: Does aging affect cognitive control? Aging, Neuropsychology and Cognition.
Raz, N. (2000). Aging of the brain and its impact on cognitive performance: Integration of structural and functional findings. In Craik, F. I. M. and Salthouse, T. A. (eds.), Handbook of aging and cognition (2nd edn., pp. 1–90). Mahwah, NJ: Erlbaum.Google Scholar
Riediger, M., Li, S-C., and Lindenberger, U. (2006). Selection, optimization, and compensation as developmental mechanisms of adaptive resource allocation: Review and preview. In Birren, J. E. and Schaie, K. W. (eds.), Handbook of the psychology of aging (6th edn., pp. 289–310). San Diego, CA: Academic Press.Google Scholar
Roring, R. W., and Charness, N. (2007). A multilevel model of expertise in chess across the life span. Psychology and Aging, 22, 291–299.CrossRefGoogle ScholarPubMed
Rott, C. (2008). Selbständigkeit in einer Gesellschaft des langen Lebens – die Rolle von körperlicher Aktivität [Independence in a society of long lives – the role of physical activities]. In Mess, F., Dugandzic, D., and Woll, A. (eds.), Erfolgreiches Altern durch Sport (pp. 9–33). Konstanz, Germany: UVK Verlagsgesellschaft.Google Scholar
Rowe, J. W., and Kahn, R. L. (1998). Successful aging. New York: Pantheon.Google ScholarPubMed
Ryan, E. B., and Kwong See, S. T. (1993). Age-based beliefs about memory changes for self and others across adulthood. The Journals of Gerontology: Psychological Sciences, 48, P108–P118.Google ScholarPubMed
Rybash, J. M., Hoyer, W. J., and Roodin, P. A. (1986). Adult cognition and aging: Developmental changes in processing, knowing, and thinking. New York: Pergamon Press.Google Scholar
Salthouse, T. A. (1991). Theoretical perspectives on cognitive aging. Hillsdale, NJ: Erlbaum.Google Scholar
Salthouse, T. S. (2006). Mental exercise and mental aging: Evaluating the validity of the “use it or lose it” hypothesis. Perspectives on Psychological Science, 1, 68–87.CrossRefGoogle ScholarPubMed
Schaie, K. W. (2005). Developmental influences on adult intelligence: The Seattle Longitudinal Study. New York: Oxford University Press.CrossRefGoogle Scholar
Schooler, C., Mulatu, M. S., and Oates, G. (1999). The continuing effects of substantively complex work on the intellectual functioning of older workers. Psychology and Aging, 14, 483–506.CrossRefGoogle ScholarPubMed
Schroll, M. (2003). Physical activity in an aging population. Scandinavian Journal of Medicine and Science in Sport, 13, 63–69.CrossRefGoogle Scholar
Schulz, R., Musa, D., Staszewski, J., and Siegler, R. S. (1994). The relationship between age and major league baseball performance: Implications for development. Psychology and Aging, 9, 274–286.CrossRefGoogle Scholar
Shing, Y. L., Werkle-Bergner, M., Li, S.-C, and Lindenberger, U. (2007). Associative and strategic components of memory: A life-span dissociation. Journal of Experimental Psychology: General, 137, 495–513.CrossRefGoogle Scholar
Simonton, D. K. (1991). Career landmarks in science: Individual differences and interdisciplinary contrasts. Developmental Psychology, 27, 119–130.CrossRefGoogle Scholar
Small, B. J. and Bäckman, L. (1997). Cognitive correlates of mortality: Evidence from a population-based sample of very old adults. Psychology and Aging, 12, 309–313.CrossRefGoogle ScholarPubMed
Small, B. J., and McEvoy, C. M. (2008). Does participation in cognitive activities buffer age-related cognitive decline? In Hofer, S. M. and Alwin, D. F. (eds.), Handbook of cognitive aging (pp. 575–586). Thousand Oaks, CA: Sage Publications.Google Scholar
Smith, J., and Baltes, P. B. (1990). Wisdom-related knowledge: Age/cohort differences in response to life-planning problems. Developmental Psychology, 26, 494–505.CrossRefGoogle Scholar
Smith, J., Staudinger, U. M., and Baltes, P. B. (1994). Occupational settings facilitating wisdom-related knowledge: The sample case of clinical ­psychologists. Journal of Consulting and Clinical Psychology, 62, 989–999.CrossRefGoogle ScholarPubMed
Soederberg Miller, L. M., and Gagne, D. D. (2005). Effect of age and control beliefs on resource allocation during reading. Aging, Neuropsychology, and Cognition, 12, 129–148.CrossRefGoogle Scholar
Souchay, C., Moulin, C. J. A., Clarys, D., Taconnat, L., and Isingrini, M. (2007). Diminished episodic memory awareness in older adults: Evidence from feeling-of-knowing and recollection. Consciousness and Cognition, 16, 769–784.CrossRefGoogle ScholarPubMed
Stern, Y. (2002). What is cognitive reserve? Theory and research application of the reserve concept. Journal of the International Neuropsychological Society, 8, 448–460.CrossRefGoogle ScholarPubMed
Stern, Y., Alexander, G. E., Prohovinik, I.et al., (1995). Relationship between lifetime occupation and parietal flow: Implications for a reserve against Alzheimer's disease pathology. Neurology, 45, 55–60.CrossRefGoogle ScholarPubMed
Stine-Morrow, E. A. L. (2007). The Dumbledore hypothesis of cognitive aging. Current Directions in Psychological Science, 16, 295–299.CrossRefGoogle Scholar
Thomae, H. (1987). Altersformen – Wege zu ihrer methodischen und begrifflichen Erfassung. In Lehr, U. and Thomae, H. (eds.), Formen seelischen Alterns: Ergebnisse der Bonner Gerontologischen Längsschnittstudie (BOLSA) (pp. 173–195). Stuttgart, Germany:Enke.Google Scholar
Wagner, R. K., and Sternberg, R. J. (1985). Practical intelligence in real-world pursuits: The role of tacit knowledge. Journal of Personality and Social Psychology, 49, 436–458.CrossRefGoogle Scholar
Waite, A., Bebbington, P., Skelton-Robinson, M., and Orrell, M. (2004). Life events, depression, and social support in dementia. British Journal of Clinical Psychology, 43, 313–324.CrossRefGoogle ScholarPubMed
West, R. L., Thorn, R. M., and Bagwell, D. K. (2003). Memory performance and beliefs as a function of goal setting and aging. Psychology and Aging, 18, 111–125.CrossRefGoogle ScholarPubMed
Willis, S. L. (2001). Methodological issues in behavioral intervention research with the elderly. In Birren, J. E. and Schaie, K. W. (eds.), Handbook of the psychology of aging (5th edn., pp. 78–108). San Diego, CA: Academic Press.Google Scholar
Wilson, R. J., and Bennett, D. A. (2003). Cognitive activity and risk of Alzheimer's disease. Current Directions in Psychological Science, 12, 87–91.CrossRefGoogle Scholar
Zacks, R., Hasher, L., Li, K. Z. H. (2000). Human memory. In Craik, F. I. M. and Salthouse, T. A. (eds.), The handbook of aging and cognition (2nd edn., pp. 293–357). Mahwah, NJ: Erlbaum.Google Scholar

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