Working memory training does not enhance older adults' cognitive skills: A comprehensive meta-analysis

Sala, G ORCID: 0000-0002-1589-3759, Aksayli, ND, Tatlidil, KS, Gondo, Y and Gobet, F ORCID: 0000-0002-9317-6886
(2019) Working memory training does not enhance older adults' cognitive skills: A comprehensive meta-analysis. Intelligence, 77. p. 101386.

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© 2019 The Authors In the last two decades, considerable efforts have been devoted to finding a way to enhance cognitive function by cognitive training. To date, the attempt to boost broad cognitive functions in the general population has failed. However, it is still possible that some cognitive training regimens exert a positive influence on specific populations, such as older adults. In this meta-analytic review, we investigated the effects of working memory (WM) training on older adults' cognitive skills. Three robust-variance-estimation meta-analyses (N = 2140, m = 43, and k = 698) were run to analyze the effects of the intervention on (a) the trained tasks, (b) near-transfer measures, and (c) far-transfer measures. While large effects were found for the trained tasks (g¯ = 0.877), only modest (g¯ = 0.274) and near-zero (g¯ = 0.121) effects were obtained in the near-transfer and far-transfer meta-analyses, respectively. Publication-bias analysis provided adjusted estimates that were slightly lower. Moreover, when active control groups were implemented, the far-transfer effects were null (g¯ = −0.008). Finally, the effects were highly consistent across studies (i.e., low or null true heterogeneity), especially in the near- and far-transfer models. While confirming the difficulty in obtaining transfer effects with cognitive training, these results corroborate recent empirical evidence suggesting that WM is not isomorphic with other fundamental cognitive skills such as fluid intelligence.

Item Type: Article
Uncontrolled Keywords: WM training, Meta-analysis, Transfer, Older adults
Depositing User: Symplectic Admin
Date Deposited: 11 Nov 2019 09:39
Last Modified: 19 Jan 2023 00:20
DOI: 10.1016/j.intell.2019.101386
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