Aging Brain (Jan 2023)

EngAge – A metacognitive intervention to supplement working memory training: A feasibility study in older adults

  • Susanne M. Jaeggi,
  • Alexandria N. Weaver,
  • Elena Carbone,
  • Francesca E. Trane,
  • Rachel N. Smith-Peirce,
  • Martin Buschkuehl,
  • Christoph Flueckiger,
  • Madison Carlson,
  • John Jonides,
  • Erika Borella

Journal volume & issue
Vol. 4
p. 100083

Abstract

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Working Memory (WM) training has shown promise in supporting cognitive functioning in older adult populations, but effects that generalize beyond the trained task have been inconsistent. Targeting cognitive processes in isolation might be a limiting factor given that metacognitive and motivational factors have been shown to impact older adults’ engagement with challenging cognitive activities, such as WM training. The current feasibility study implemented a novel metacognitive intervention in conjunction with WM training in older adults and examined its potential amplifying short- and long-term effects on cognitive and self-report outcomes as compared to WM or active control training alone. One-hundred and nineteen older adults completed a cognitive training over the course of 20 sessions at home. The cognitive training targeted either WM or general knowledge. In addition, one of the WM training groups completed a metacognitive program via group seminars. We tested for group differences in WM, inhibitory control, and episodic memory, and we assessed participants’ perceived self-efficacy and everyday memory failures. At post-test, we replicated earlier work by demonstrating that participants who completed the WM intervention outperformed the active control group in non-trained WM measures, and to some extent, in inhibitory control. However, we found no evidence that the supplemental metacognitive program led to benefits over and above the WM intervention. Nonetheless, we conclude that our metacognitive program is a step in the right direction given the tentative long-term effects and participants’ positive feedback, but more longitudinal data with larger sample sizes are needed to confirm these early findings.

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