Multisensory training based on an APP for enhanced verbal working memory in older adults

With the increasing aging population, contemporary society faces the imperative to develop approaches that efficiently delay the age-related decline in working memory capacity, which is a critical area within cognitive aging research. Nevertheless, there is insufficient evidence to support the efficacy of verbal working memory training across various sensory modalities (visual, auditory, and audiovisual) in enhancing the verbal working memory capacity of older adults. In this study, 60 healthy older adults (mean age = 67.07 ± 3.79 years, comprising 34 women and 26 men, mean education = 15.55 ± 2.53 years) were randomly assigned to one of four groups: visual verbal working memory (V-VWM) group, auditory verbal working memory (A-VWM) group, visual-auditory verbal working memory (VA-VWM) group, and a control group. The training duration spanned 12 days. We also investigated whether baseline level and education predicted the outcomes. Findings indicated that V-VWM training had a large effect on improving V-VWM task performance (<i>Cohen's d</i> = 1.765), A-VWM training showed a substantial effect on A-VWM task performance (<i>Cohen's d</i> = 1.904), and VA-VWM training demonstrated a significant effect on VA-VWM task performance (<i>Cohen's d</i> = 2.319) over pretest scores in older adults. Enhancements achieved through V-VWM training exhibited near transfer effects, improving performance in both A-VWM and VA-VWM tasks. In contrast, gains from A-VWM training were selectively transferred to the VA-VWM task. Furthermore, VA-VWM training led to improvements not only in V-VWM and A-VWM tasks but also extended to verbal operation span task with a significant 29.7 % increase. However, no significant transfer effects were observed for the DSF and DSB tasks across the three training groups. The maintenance effect of VA-VWM training persisted for two weeks across tasks involving VA-VWM, V-VWM, and A-VWM. The baseline of VWM span score influence the effect of V-VWM training and transfer effect of VA-VWM training. Education level did not predict the training effects of V-VWM, A-VWM, and VA-VWM. These findings highlight the nuanced effects of sensory-specific verbal working memory training in older adults, emphasizing the potential of tailored interventions to enhance specific aspects of cognitive function, while also highlighting the promising applications of mobile device training in enhancing cognitive skills among the elderly.

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Publication Details

Journal
Internet Interventions
Published
2024-08-16
DOI
https://doi.org/10.1016/j.invent.2024.100767
Citations
2
Primary Topic
Cognitive Abilities and Testing
Type
article
Field-Weighted Citation Impact
1.02

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article

Multisensory training based on an APP for enhanced verbal working memory in older adults

Rongjuan Zhu, Qi Hui, Xuan Wang, Ziyu Wang et al.
2 citations
Internet Interventions
Cognitive Abilities and Testing
1.02
article

Multisensory training based on an APP for enhanced verbal working memory in older adults

Rongjuan Zhu, Qi Hui, Xuan Wang, Ziyu Wang, Xuqun You, Xiaoliang Ma
article en
2 citations

Abstract

With the increasing aging population, contemporary society faces the imperative to develop approaches that efficiently delay the age-related decline in working memory capacity, which is a critical area within cognitive aging research. Nevertheless, there is insufficient evidence to support the efficacy of verbal working memory training across various sensory modalities (visual, auditory, and audiovisual) in enhancing the verbal working memory capacity of older adults. In this study, 60 healthy older adults (mean age = 67.07 ± 3.79 years, comprising 34 women and 26 men, mean education = 15.55 ± 2.53 years) were randomly assigned to one of four groups: visual verbal working memory (V-VWM) group, auditory verbal working memory (A-VWM) group, visual-auditory verbal working memory (VA-VWM) group, and a control group. The training duration spanned 12 days. We also investigated whether baseline level and education predicted the outcomes. Findings indicated that V-VWM training had a large effect on improving V-VWM task performance (<i>Cohen's d</i> = 1.765), A-VWM training showed a substantial effect on A-VWM task performance (<i>Cohen's d</i> = 1.904), and VA-VWM training demonstrated a significant effect on VA-VWM task performance (<i>Cohen's d</i> = 2.319) over pretest scores in older adults. Enhancements achieved through V-VWM training exhibited near transfer effects, improving performance in both A-VWM and VA-VWM tasks. In contrast, gains from A-VWM training were selectively transferred to the VA-VWM task. Furthermore, VA-VWM training led to improvements not only in V-VWM and A-VWM tasks but also extended to verbal operation span task with a significant 29.7 % increase. However, no significant transfer effects were observed for the DSF and DSB tasks across the three training groups. The maintenance effect of VA-VWM training persisted for two weeks across tasks involving VA-VWM, V-VWM, and A-VWM. The baseline of VWM span score influence the effect of V-VWM training and transfer effect of VA-VWM training. Education level did not predict the training effects of V-VWM, A-VWM, and VA-VWM. These findings highlight the nuanced effects of sensory-specific verbal working memory training in older adults, emphasizing the potential of tailored interventions to enhance specific aspects of cognitive function, while also highlighting the promising applications of mobile device training in enhancing cognitive skills among the elderly.

Internet InterventionsVol. 38
Xi'an University of Science and Technology (CN), Xidian University (CN), Shaanxi Normal University (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, China Postdoctoral Science Foundation, Natural Science Foundation of Shaanxi Province, Natural Science Basic Research Program of Shaanxi Province, Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China
Openalex Percentile: Top 22%
Cognitive Abilities and Testing
1.02
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