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37 - Maximizing the Impact of Cognitive Engagement Interventions for Older Adults

from Part V - Later Life and Interventions

Published online by Cambridge University Press:  28 May 2020

By
Rachel Wu  and
George W. Rebok
Edited by
Ayanna K. Thomas  and
Angela Gutchess
Ayanna K. Thomas
Affiliation:
Tufts University, Massachusetts
Angela Gutchess
Affiliation:
Brandeis University, Massachusetts
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Summary

In the past few decades, there has been a surge of research on cognitive interventions to increase cognitive abilities in older adults, many of whom experience age-related cognitive and functional declines. It has become increasingly clear that although cognitive interventions with older adults can increase cognitive abilities that are directly targeted in the training program, increasing untrained cognitive abilities and abilities related to daily life activities has not been as effective as originally anticipated. Instead of taking a pessimistic view that it is impossible to substantially increase cognitive and functional abilities across a variety of domains in older adults, we propose that cognitive interventions could benefit from developing theory-driven research programs, especially by incorporating findings from earlier in the life span and models of behavior change, to optimize intervention gains in later adulthood. Moreover, intervention gains can also be increased by taking into consideration participant characteristics, situations, and preferences when designing interventions. Instead of considering these factors as “noise,” they provide meaningful information about differences in individual experiences in the past, present, and future. This chapter focuses mostly on cognitive engagement interventions, which are holistic interventions employing real-world skills and tasks. After briefly reviewing the current state of the literature, we discuss ways in which researchers have begun to investigate how to maximize the impact of engagement interventions on cognitive abilities and functional independence (i.e., the ability to perform daily activities independently). In addition, we consider unique cognitive, social, and environmental aspects of the older adult that can be leveraged for maximizing the impact of cognitive engagement interventions.

Keywords

functional independencecognitive agingcognitive developmentlifestyle interventionmotivationengagement
Type
Chapter
Information
The Cambridge Handbook of Cognitive Aging
A Life Course Perspective
 , pp. 685 - 700
Publisher: Cambridge University Press
Print publication year: 2020

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References

Anguera, J., Boccanfuso, J., Rintoul, J., et al. (2013). Video game training enhances cognitive control in older adults. Nature, 501, 97–101. http://doi.org/10.1038/nature12486Google Scholar
Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55(5), 469–480. http://doi.org/10.1037//0003-066X.55.5.469CrossRefGoogle ScholarPubMed
Ball, K., Berch, D. B., Helmers, K. F., et al. (2002). Effects of cognitive training interventions with older adults: A randomized controlled trial. JAMA, 288(18), 2271–2281. http://doi.org/10.1001/jama.288.18.2271Google Scholar
Baltes, P. B., Lindenberger, U., & Staudinger, U. M. (2006). Life span theory in developmental psychology. In Lerner, R. M. & Damon, W. (Eds.), Handbook of child psychology: Theoretical models of human development (pp. 569–664). Hoboken, NJ: Wiley.Google Scholar
Bielak, A. A. M. (2010). How can we not “lose it” if we still don’t understand how to “use it”? Unanswered questions about the influence of activity participation on cognitive performance in older age – A mini-review. Gerontology, 56, 507–519. http://doi.org/10.1159/000264918Google Scholar
Boot, W. R., Simons, D. J., Stothart, C., & Stutts, C. (2013). The pervasive problem with placebos in psychology: Why active control groups are not sufficient to rule out placebo effects. Perspectives on Psychological Science, 8(4), 445–454. http://doi.org/10.1177/1745691613491271CrossRefGoogle Scholar
Bugos, J. A., Perlstein, W. M., McCrae, C. S., Brophy, T. S., & Bedenbaugh, P. H. (2007). Individualized piano instruction enhances executive functioning and working memory in older adults. Aging and Mental Health, 11(4), 464–471. http://doi.org/10.1080/13607860601086504Google Scholar
Bures, V., Cech, P., Mikulecká, J., Ponce, D., & Kuca, K. (2016). The effect of cognitive training on the subjective perception of well-being in older adults. PeerJ, 4, e2785. http://doi.org/10.7717/peerj.2785Google Scholar
Cacioppo, J. T., & Hawkley, L. C. (2009). Perceived social isolation and cognition. Trends in Cognitive Sciences, 13(10), 447–454. http://doi.org/10.1016/j.tics.2009.06.005Google Scholar
Carlson, M. C., Parisi, J. M., Xia, J., et al. (2012). Lifestyle activities and memory: Variety may be the spice of life. The women’s health and aging study II. Journal of the International Neuropsychological Society, 18(2), 286–294. http://doi.org/10.1017/S135561771100169XGoogle Scholar
Carlson, M. C., Saczynski, J. S., Rebok, G. W., et al. (2008). Exploring the effects of an “everyday” activity program on executive function and memory in older adults: Experience Corps®. Gerontologist, 48, 793–801. http://doi.org/10.1093/geront/48.6.793Google Scholar
Chan, M. Y., Haber, S., Drew, L. M., & Park, D. C. (2016). Training older adults to use tablet computers: Does it enhance cognitive functioning? Gerontologist, 56(3), 475–484. http://doi.org/10.1093/geront/gnu057Google Scholar
Charness, N., & Boot, W. R. (2009). Aging and information technology use: Potential and barriers. Current Directions in Psychological Science, 18(5), 253–258. https://doi.org/10.1111/j.1467-8721.2009.01647.xCrossRefGoogle Scholar
Clark, D. O., Xu, H., Unverzagt, F. W., & Hendrie, H. (2016). Does targeted cognitive training reduce educational disparities in cognitive function among cognitively normal older adults? International Journal of Geriatric Psychiatry, 31(7), 809–817. https://doi.org/10.1002/gps.4395CrossRefGoogle ScholarPubMed
Czaja, S. J., & Sharit, J. (2003). Practically relevant research: Capturing real world tasks, environments, and outcomes. Gerontologist, 43 (Suppl. 1), 9–18. https://doi.org/10.1093/geront/43.suppl_1.9Google Scholar
Darling-Hammond, L., Wilhoit, G., & Pittenger, L. (2014). Accountability for college and career readiness: Developing a new paradigm. Education Policy Analysis Archives, 22(86), 1–34. http://dx.doi.org/10.14507/epaa.v22n86.2014Google Scholar
Depp, C. A., & Jeste, D. V. (2006). Definitions and predictors of successful aging: A comprehensive review of larger quantitative studies. American Journal of Geriatric Psychiatry, 14, 6–20. http://doi.org/10.1097/01.jgp.0000192501.03069.bcGoogle Scholar
Deveau, J., Jaeggi, S. M., Zordan, V., Phung, C., & Seitz, A. R. (2015). How to build better memory training games. Frontiers in Systems Neuroscience, 8, 243. https://doi.org/10.3389/fnsys.2014.00243Google Scholar
Dodge, H. H., Du, Y., Saxton, J. A., & Ganguli, M. (2006). Cognitive domains and trajectories of functional independence in non-demented elderly. Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, 61(12), 1330–1337. https://doi.org/10.1093/gerona/61.12.1330Google Scholar
Ennis, G. E., Hess, T. M., & Smith, B. T. (2013). The impact of age and motivation on cognitive effort: Implications for cognitive engagement in older adulthood. Psychology and Aging, 28, 495–504. http://doi.org/10.1037/a0031255Google Scholar
Fried, L. P., Carlson, M. C., McGill, S., et al. (2013). Experience Corps: A dual trial to promote the health of older adults and children’s academic success. Contemporary Clinical Trials, 36, 1–13. http://doi.org/10.1016/j.cct.2013.05.003Google Scholar
Goldberg, J., & Kiernan, M. (2004). Innovative techniques to address retention in a behavioral weight-loss trial. Health Education Research, 20(4), 439–447. https://doi.org/10.1093/her/cyg139Google Scholar
Grady, C. (2012). The cognitive neuroscience of ageing. Nature Reviews Neuroscience, 13(7), 491–505. http://doi.org/10.1038/nrn3256Google Scholar
Hastings, E. C., & West, R. L. (2009). The relative success of a self-help and a group-based memory training program for older adults. Psychology and Aging, 24, 586–594. http://doi.org/10.1037/a0016951CrossRefGoogle Scholar
Hertzog, C., Kramer, A. F., Wilson, R. S., & 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, 9(1), 1–65. http://doi.org/10.1111/j.1539-6053.2009.01034.xGoogle Scholar
Hertzog, C., & Nesselroade, J. R. (2003). Assessing psychological change in adulthood: An overview of methodological issues. Psychology and Aging, 18(4), 639–657. http://doi.org/10.1037/0882-7974.18.4.639Google Scholar
Hess, T. M., (2014). Selective engagement of cognitive resources: Motivational influences on older adults’ cognitive functioning. Perspectives on Psychological Science, 9, 388–407. http://doi.org/10.1177/1745691614527465CrossRefGoogle ScholarPubMed
Hess, T. M., Growney, C. M., O’Brien, E. L., Neupert, S. D., & Sherwood, A. (2018). The role of cognitive costs, attitudes about aging, and intrinsic motivation in predicting engagement in everyday activities. Psychology and Aging, 33(6), 953–964. https://doi.org/10.1037/pag0000289Google Scholar
Hopkins, C. D., Roster, C. A., & Wood, C. M. (2006). Making the transition to retirement: Appraisals, post-transition lifestyle, and changes in consumption patterns. Journal of Consumer Marketing, 23(2), 87–99. https://doi.org/10.1108/07363760610655023Google Scholar
Hughes, T. F. (2010). Promotion of cognitive health through cognitive activity in the aging population. Aging and Health, 6(1), 111–121. http://doi.org/10.2217/ahe.09.89Google Scholar
Hultsch, D. F., Hertzog, C., Small, B. J., & Dixon, R. A. (1999). Use it or lose it: Engaged lifestyle as a buffer of cognitive decline in aging? Psychology and Aging, 14(2), 245–263. http://doi.org/10.1037/0882-7974.14.2.245Google Scholar
Ihle, A., Oris, M., Fagot, D., et al. (2015). The association of leisure activities in middle adulthood with cognitive performance in old age: The moderating role of educational level. Gerontology, 61(6), 543–550. http://doi.org/10.1159/000381311Google Scholar
Jackson, J. J., Hill, P. L., Payne, B. R., et al. (2012). Can an old dog learn (and want to experience) new tricks? Cognitive training increases openness to experience in older adults. Psychology and Aging, 27(2), 286–292. http://doi.org/10.1037/a0025918CrossRefGoogle ScholarPubMed
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academy of Sciences USA, 105, 6829–6833. http://doi.org/10.1073/pnas.0801268105Google Scholar
Jaeggi, S. M., Buschkuehl, M., Shah, P., & Jonides, J. (2014). The role of individual differences in cognitive training and transfer. Memory and Cognition, 42, 464–480. http://doi.org/10.1073/pnas.0801268105Google Scholar
Karbach, J., Konen, T., & Spengler, M. (2017). Who benefits the most? Individual differences in the transfer of executive control training across the life span. Journal of Cognitive Enhancement, 1, 394–405. http://doi.org/10.1007/s41465-017-0054-zGoogle Scholar
Karp, A., Paillard-Borg, S., Wang, H. X., et al. (2006). Mental, physical and social components in leisure activities equally contribute to decrease dementia risk. Dementia and Geriatric Cognitive Disorders, 21(2), 65–73. http://doi.org/10.1159/000089919Google Scholar
Katz, B., Jaeggi, S., Buschkuehl, M., Stegman, A., & Shah, P. (2014). Differential effect of motivational features on training improvements in school-based cognitive training. Frontiers in Human Neuroscience, 8, 242. http://doi.org/10.3389/fnhum.2014.00242Google Scholar
Katz, B., Jones, M. R., Shah, P., Buschkuehl, M., & Jaeggi, S. M. (2016). Individual differences and motivational effects in cognitive training research. In Strobach, T. & Karbach, J. (Eds.), Cognitive training: An overview of features and applications (pp. 157–166). Berlin: Springer.Google Scholar
Kim, S., McMaster, M., Torres, S., et al. (2018). Protocol for a pragmatic randomized controlled trial of Body Brain Life – General Practice and a lifestyle modification programme to decrease dementia risk exposure in a primary care setting. BMJ Open, 8, e019329. http://doi.org/10.1136/bmjopen-2017-019329CrossRefGoogle Scholar
Kramer, A. F., Bherer, L., Colcombe, S. J., Dong, W., & Greenough, W. T. (2004). Environmental influences on cognitive and brain plasticity during aging. Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, 59(9), M940–M957. http://doi.org/10.1093/gerona/59.9.M940Google Scholar
Lachman, M. E., Andreoletti, C., & Pearman, A. (2006). Memory control beliefs: How are they related to age, strategy use, and memory improvement? Social Cognition, 24, 359–385. http://doi.org/10.1521/soco.2006.24.3.359Google Scholar
Lachman, M. E., Lipsitz, L., Lubben, J., Castaneda-Sceppa, C., & Jette, A. M. (2018). When adults don’t exercise: Behavioral strategies to increase physical activity in sedentary middle-aged and older adults. Innovation in Aging, 2(1), 1–12. http://doi.org/10.1093/geroni/igy007Google Scholar
Langbaum, J. B., Rebok, G. W., Bandeen-Roche, K., & Carlson, M. C. (2009). Predicting memory training response patterns: Results from ACTIVE. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 64, 14–23. http://dx.doi.org/10.1093/geronb/gbn026Google Scholar
Leanos, S., Coons, J., Rebok, G. W., Ozer, D. J., & Wu, R. (2019). Development of the Broad Learning Adult Questionnaire (BLAQ). International Journal of Aging and Human Development, 88(3), 286–311. http://doi.org/10.1177/0091415018784695Google Scholar
Leanos, S., Kurum, E., Strickland-Hughes, C., Ditta, A., Nguyen, G., Felix, M., Yum, H., Rebok, G. W., & Wu, R. (2019). The impact of learning multiple real-world skills on cognitive abilities and functional independence in healthy older adults. Journals of Gerontology: Series B Psychological Sciences, gbz084. http://doi.org/10.1093/geronb/gbz084Google Scholar
Levkoff, S., & Sanchez, H. (2003). Lessons learned about minority recruitment and retention from the Centers on Minority Aging and Health Promotion. Gerontologist, 43, 8–26. http://doi.org/10.1093/geront/43.1.18Google Scholar
Levy, B. R., Ferrucci, L., Zonderman, A. B., Slade, M. D., Troncoso, J., & Resnick, S. M. (2016). A culture–brain link: Negative age stereotypes predict Alzheimer’s-disease biomarkers. Psychology and Aging, 31(1), 82–88. http://doi.org/10.1037/pag0000062Google Scholar
Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57(9), 705–717. http://doi.org/10.1037//0003-066X.57.9.705Google Scholar
Mani, A., Mullainathan, S., Shafir, E., & Zhao, J. (2013). Poverty impedes cognitive function. Science, 341(6149), 976–980. http://doi.org/10.1126/science.1238041CrossRefGoogle ScholarPubMed
McGillivray, S., Murayama, K., & Castel, A. D. (2015). Thirst for knowledge: The effects of curiosity and interest in memory in younger and older adults. Psychology and Aging, 30(4), 835–841. http://doi.org/10.1037/a0039801Google Scholar
Michie, S., & Abraham, C. (2004). Interventions to change health behaviours: Evidence-based or evidence-inspired? Psychology and Health, 19(1), 29–49. http://doi.org/10.1080/0887044031000141199CrossRefGoogle Scholar
Michie, S., Johnston, M., Francis, J., Hardeman, W., & Eccles, M. (2008). From theory to intervention: Mapping theoretically derived behavioural determinants to behavior change techniques. Applied Psychology: An International Review, 57, 660–680. http://doi.org/10.1111/j.1464-0597.2008.00341.xGoogle Scholar
Michie, S., van Stralen, M. M., & West, R. (2011). The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implementation Science, 6, 42. http://doi.org/10.1186/1748-5908-6-42CrossRefGoogle ScholarPubMed
Middleton, K. R., Anton, S. D., & Perri, M. G. (2013). Long-term adherence to health behavior change. American Journal of Lifestyle Medicine, 7(6), 395–404. http://doi.org/10.1177/1559827613488867Google Scholar
Nguyen, C., Leanos, S., Natsuaki, M. N., Rebok, G. W., & Wu, R. (2018). Adaptation via learning new skills as a means to long-term functional independence in older adulthood: Insights from emerging adulthood. Gerontologist. October 12 [Epub ahead of print]. http://doi.org/10.1093/geront/gny128Google Scholar
Noice, T., Noice, H., & Kramer, A. F. (2014). Participatory arts for older adults: A review of benefits and challenges. Gerontologist, 54(5), 741–753. http://doi.org/10.1093/geront/gnt138Google Scholar
Noom, M. J., Dekovic, M., & Meeus, W. (2001). Conceptual analysis and measurement of adolescent autonomy. Journal of Youth and Adolescence, 30, 577–595. http://doi.org/10.1023/A:1010400721676Google Scholar
Parisi, J. M., Gross., A. L., Marsiske, M., Willis, S. L., & Rebok, G. W. (2017). Control beliefs and cognition over a 10-year period: Findings from the ACTIVE trial. Psychology and Aging, 32(1), 69–75. http://doi.org/10.1037/pag0000147Google Scholar
Park, D. C., Gutchess, A., Meade, M., & Stine-Morrow, E. (2007). Improving cognitive function in older adults: Nontraditional approaches. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 62, 45–52. http://doi.org/10.1093/geronb/62.special_issue_1.45Google Scholar
Park, D. C., Lodi-Smith, J., Drew, L. M., et al. (2014). The impact of sustained engagement on cognitive function in older adults: The Synapse Project. Psychological Science, 25(1), 103–112. http://doi.org/10.1177/0956797613499592Google Scholar
Park, D. C., & Reuter-Lorenz, P. (2009). The adaptive brain: Aging and neurocognitive scaffolding. Annual Review of Psychology, 60, 173–196. http://dx.doi.org/10.1146/annurev.psych.59.103006.093656Google Scholar
Raz, N., & Rodrigue, K. M. (2006). Differential aging of the brain: Patterns, cognitive correlates and modifiers. Neuroscience and Biobehavioral Reviews, 30(6), 730–748. http://doi.org/10.1016/j.neubiorev.2006.07.001Google Scholar
Rebok, G. W., Ball, K., Guey, L. T., et al. (2014). Ten-year effects of the ACTIVE cognitive training trial on cognition and everyday functioning in older adults. Journal of the American Geriatrics Society, 62(1), 16–24. http://doi.org/10.1111/jgs.12607Google Scholar
Rebok, G. W., Carlson, M. C., Barron, J. S., et al. (2011). Experience Corps®: A civic engagement-based public health intervention in the public schools. In Hartman-Stein, P. E. & La Rue, A. (Eds.), Enhancing cognitive fitness in adults: A guide to the use and development of community-based programs (pp. 469–487). New York: Springer.Google Scholar
Rebok, G. W., Langbaum, J. B. S., Jones, R. N., et al. (2013). Memory training in the ACTIVE study: How much is needed and who benefits? Journal of Aging and Health, 25, 21S–42S. http://doi.org/10.1177/0898264312461937Google Scholar
Reuter-Lorenz, P. A., & Park, D. C. (2014). How does it STAC up? Revisiting the scaffolding theory of aging and cognition. Neuropsychology Review, 24(3), 355–370. http://doi.org/10.1007/s11065-014-9270-9CrossRefGoogle ScholarPubMed
Robertson, D. A., King-Kallimanis, B. L., & Kenny, R. A. (2016). Negative perceptions of aging predict longitudinal decline in cognitive function. Psychology and Aging, 31, 71–81. http://doi.org/10.1037/pag0000061Google Scholar
Roth, T. L., Lubin, F. D., Funk, A. J., & Sweatt, D. (2009). Lasting epigenetic influence of early-life adversity on the BDNF gene. Biological Psychiatry, 65(9), 760–769. http://doi.org/10.1016/j.biopsych.2008.11.028Google Scholar
Rowe, J. W., & Kahn, R. L. (1997). Successful aging. Gerontologist, 37(4), 433–440. http://doi.org/10.1093/geront/37.4.433Google Scholar
Salthouse, T. A. (2006). Mental exercise and mental aging. Evaluating the validity of the “use it or lose it” hypothesis. Perspectives on Psychological Science, 1(1), 68–87. http://doi.org/10.1111/j.1745-6916.2006.00005.xGoogle Scholar
Shipstead, Z., Redick, T. S., & Engle, R. W. (2012). Is working memory training effective? Psychological Bulletin, 138(4), 628–654. http://doi.org/10.1037/a0027473Google Scholar
Simons, D. J., Boot, W. R., Charness, N., et al. (2016).Do “brain-training” programs work? Psychological Science in Public Interest, 17(3), 103–186. http://doi.org/10.1177/1529100616661983Google Scholar
Stephan, Y., Fouquereau, E., & Fernandez, A. (2008). The relation between self-determination and retirement satisfaction among active retired individuals. International Journal of Aging and Human Development, 66(4), 329–345. http://doi.org/10.2190/AG.66.4.dGoogle Scholar
Stine-Morrow, E. A. L., Parisi, J. M., Morrow, D. G., & Park, D. C. (2008). The effects of an engaged lifestyle on cognitive vitality: A field experiment. Psychology and Aging, 23(4), 778–786. http://doi.org/10.1037/a0014341Google Scholar
Stine-Morrow, E. A. L., Payne, B. R., Roberts, B. W., et al. (2014). Training versus engagement as paths to cognitive enrichment with aging. Psychology and Aging, 29(4), 891–906. http://doi.org/10.1037/a0038244Google Scholar
Thøgersen-Ntoumani, C., & Ntoumanis, N. (2006). The role of self-determined motivation in the understanding of exercise-related behaviours, cognitions, and physical self-evaluations. Journal of Sports Science, 24(4), 393–404. http://doi.org/10.1080/02640410500131670Google Scholar
Torres, W. J., & Beier, M. E. (2018). Adult development in the wild: The determinants of autonomous learning in a Massive Open Online Course. Learning and Individual Differences, 65, 207–217. https://doi.org/10.1016/j.lindif.2018.06.003Google Scholar
Tzuang, M., Owusu, J., Spira, A. P., Albert, M. S., & Rebok, G. W. (2018). Cognitive training for ethnic minority older adults in the US: A review. Gerontologist, 58(5), e311–e324. http://doi.org/10.1093/geront/gnw260Google Scholar
van der Bij, A. K., Laurant, M. G., & Wensing, M. (2002). Effectiveness of physical activity interventions for older adults: A review. American Journal of Preventive Medicine, 22, 120–133. http://doi.org/10.1016/S0749-3797(01)00413-5Google Scholar
Willis, S. L., & Caskie, G. I. L. (2013). Reasoning training in the ACTIVE study: How much is needed and who benefits? Journal of Aging and Health, 25 (Suppl. 8), 43–64. http://doi.org/10.1177/0898264313503987Google Scholar
Willis, S. L., & Schaie, K. W. (1986). Training the elderly on the ability factors of spatial orientation and inductive reasoning. Psychology and Aging, 1(3), 239–247. http://doi.org/10.1037/0882-7974.1.3.239Google Scholar
Wilson, R. S., Scherr, P. A., Schneider, J. A., Tang, Y., & Bennett, D. A. (2007). Relation of cognitive activity to risk of developing Alzheimer disease. Neurology, 69(20), 1911–1920. http://doi.org/10.1212/01.wnl.0000271087.67782.cbGoogle Scholar
Wolfgang, M. E., & Dowling, W. D. (1981). Differences in motivation of adult and younger undergraduates. Journal of Higher Education, 52(6), 640–648. http://doi.org/10.1080/00221546.1981.11778136Google Scholar
Wu, R., Rebok, G. W., & Lin, F. V. (2017). A novel theoretical life course framework for triggering cognitive development across the lifespan. Human Development, 59(6), 342–365. http://doi.org/10.1159/000458720CrossRefGoogle Scholar
Wu, R., & Strickland-Hughes, C. (2019). Adaptation for growth as a common goal throughout the lifespan: Why and how. Psychology of Learning and Motivation, 71, 387-414. http://doi.org/10.1016/bs.plm.2019.07.005Google Scholar
Zhao, X., Xu, Y., Fu, J., & Maes, J. H. R. (2018). Are training and transfer effects of working memory updating training modulated by achievement motivation? Memory and Cognition, 46, 398–409. http://doi.org/10.3758/s13421-017-0773-5Google Scholar
Zinke, K., Zeintl, M., Rose, N. S., et al. (2014). Working memory training and transfer in older adults: Effects of age, baseline performance, and training gains. Developmental Psychology, 50, 304–315. http://doi.org/10.1037/a0032982Google Scholar

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