The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Video game training enhances cognition of older adults: A meta-analytic study.
Abstract
It has been suggested that video game training enhances cognitive functions in young and older adults. However, effects across studies are mixed. We conducted a meta-analysis to examine the hypothesis that training healthy older adults with video games enhances their cognitive functioning. The studies included in the meta-analysis were video game training interventions with pre- and posttraining measures. Twenty experimental studies published between 1986 and 2013, involving 474 trained and 439 healthy older controls, met the inclusion criteria. The results indicate that video game training produces positive effects on several cognitive functions, including reaction time (RT), attention, memory, and global cognition. The heterogeneity test did not show a significant heterogeneity (I(2) = 20.69%) but this did not preclude a further examination of moderator variables. The magnitude of this effect was moderated by methodological and personal factors, including the age of the trainees and the duration of the intervention. The findings suggest that cognitive and neural plasticity is maintained to a certain extent in old age. Training older adults with video games enhances several aspects of cognition and might be a valuable intervention for cognitive enhancement.
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Citations
Cites
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
The processing-speed theory of adult age differences in cognition
Salthouse, T. A. (1996) · Psychological Review · doi:10.1037/0033-295x.103.3.403 · Cited by 5,902 · cited 1×
“Specifically, declines occur with age in several processes including processing speed, attention, executive control, working memory, and episodic memory (e.g., Hoyer & Verhaeghen, 2006; Nilsson, 2003; Rönnlund, Nyberg, Bäckman, & Nilsson, 2005; Salthouse, 1996).”
BackgroundThe adaptive brain: aging and neurocognitive scaffolding
Park, D. C., & Reuter-Lorenz, P. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093656 · Cited by 2,790
Publication Bias in Meta‐Analysis: Prevention, Assessment and Adjustments
(2005) · doi:10.1002/0470870168 · Cited by 2,368
Insights into the ageing mind: a view from cognitive neuroscience
Hedden, T., & Gabrieli, J. D. E. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1323 · Cited by 2,223
Effects of Cognitive Training Interventions With Older Adults: A Randomized Controlled Trial
Ball, K., Berch, D. B., Helmers, K. F., Jobe, J. B., Leveck, M. D., Marsiske, M., Morris, J. N., Rebok, G. W., Smith, D. M., Tennstedt, S. L., et al. (2002) · JAMA · doi:10.1001/jama.288.18.2271 · Cited by 2,049
The plastic human brain cortex
Pascual-Leone, A., Amedi, A., Fregni, F., & Merabet, L. B. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144216 · Cited by 1,929
Video game training enhances cognitive control in older adults
Anguera, J. A., Boccanfuso, J., Rintoul, J. L., Al-Hashimi, O., Faraji, F., Janowich, J., Kong, E., Larraburo, Y., Rolle, C., Johnston, E., et al. (2013) · Nature · doi:10.1038/nature12486 · Cited by 1,666
Long-term Effects of Cognitive Training on Everyday Functional Outcomes in Older Adults
Willis, S. L., Tennstedt, S. L., Marsiske, M., Ball, K., Elias, J., Koepke, K. M., Morris, J. N., Rebok, G. W., Unverzagt, F. W., Stoddard, A. M., et al. (2006) · JAMA · doi:10.1001/jama.296.23.2805 · Cited by 1,496
Hertzog, C., Kramer, A. F., Wilson, R. S., & Lindenberger, U. (2008) · Psychological Science in the Public Interest · doi:10.1111/j.1539-6053.2009.01034.x · Cited by 1,495
Putting brain training to the test
Owen, A. M., Hampshire, A., Grahn, J. A., Stenton, R., Dajani, S., Burns, A. S., Howard, R. J., & Ballard, C. G. (2010) · Nature · doi:10.1038/nature09042 · Cited by 1,056
Can training in a real-time strategy video game attenuate cognitive decline in older adults?
Basak, C., Boot, W. R., Voss, M. W., & Kramer, A. F. (2008) · Psychology and Aging · doi:10.1037/a0013494 · Cited by 855
Rönnlund, M., Nyberg, L., Bäckman, L., & Nilsson, L.-G. (2005) · Psychology and Aging · doi:10.1037/0882-7974.20.1.3 · Cited by 839
Brain plasticity through the life span: Learning to learn and action video games
Bavelier, D., Green, C. S., Pouget, A., & Schrater, P. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-152832 · Cited by 541
Lifespan CognitionMechanisms of Change
Bialystok, E., & Craik, F. I. M. (2006) · doi:10.1093/acprof:oso/9780195169539.001.0001 · Cited by 525
Dahlin, E., Nyberg, L., Bäckman, L., & Neely, A. S. (2008) · Psychology and Aging · doi:10.1037/a0014296 · Cited by 457
Working memory plasticity in old age: practice gain, transfer, and maintenance
Li, S.-C., Schmiedek, F., Huxhold, O., Röcke, C., Smith, J., & Lindenberger, U. (2008) · Psychology and Aging · doi:10.1037/a0014343 · Cited by 369
Cited by
Meta-analysis of action video game impact on perceptual, attentional, and cognitive skills.
Bediou, B., Adams, D. M., Mayer, R. E., Tipton, E., Green, C. S., & Bavelier, D. (2018) · Psychological Bulletin · doi:10.1037/bul0000130 · Cited by 807
Gamification Science, Its History and Future: Definitions and a Research Agenda
Landers, R. N., Auer, E. M., Collmus, A. B., & Armstrong, M. B. (2018) · Simulation & Gaming · doi:10.1177/1046878118774385 · Cited by 388
Cognitive Training Does Not Enhance General Cognition
Sala, G., & Gobet, F. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.10.004 · Cited by 303
Video game training does not enhance cognitive ability: A comprehensive meta-analytic investigation
Sala, G., Tatlidil, K. S., & Gobet, F. (2018) · Psychological Bulletin · doi:10.1037/bul0000139 · Cited by 257
Ballesteros, S., Prieto, A., Mayas, J., Toril, P., Pita, C., Ponce de León, L., Reales, J. M., & Waterworth, J. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00277 · Cited by 189
Self-citation
Metadata
- Authors
- Toril, P., Reales, J. M., & Ballesteros, S.
- Venue
- Psychology and Aging
- Published
- 2014
- Volume
- 29
- Issue
- 3
- Pages
- 706-716
- ISSN
- 0882-7974 (ISSN-L)
- 1939-1498
- OpenAlex
- W2331630337
- Cited by
- 308
- References
- 18
- FWCI
- 27.94
- Type
- journal article
- Language
- en
- Open access
- closed
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