Computerized Cognitive Training in Healthy Older Adults: Baseline Cognitive Level and Subjective Cognitive Concerns Predict Training Outcome

Kalbe, Elke; Bintener, Christophe; Ophey, Anja; Reuter, Christian; Göbel, Stefan; Klöters, Silvie; Baller, Gisela; Kessler, Josef

doi:10.4236/health.2017.101003

Health

2018

DOI: 10.4236/health.2017.101003

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Computerized Cognitive Training in Healthy Older Adults: Baseline Cognitive Level and Subjective Cognitive Concerns Predict Training Outcome

Elke Kalbe¹,

Christophe Bintener²,

Anja Ophey³

et al.

Abstract: Computerized cognitive training (CCT) can improve cognition in older adults. However, specific programs for this target group have rarely been developed, and predictors of training success are largely unclear. In a randomized controlled pilot trial, we examined effects of a six-week CCT, tailored to the cognitive profile of healthy older adults (EG, n = 21) as compared to a nonspecific CCT (CG, n = 18) matched in frequency and intensity. No interaction effects between Group and Time were found. However, within… Show more

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Cited by 3 publications

References 66 publications

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Differential effects of cognitive training modules in healthy aging and mild cognitive impairment: A comprehensive meta-analysis of randomized controlled trials.

Basak

Qin

O’Connell

2020

Psychology and Aging

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This meta-analysis was designed to compare the effectiveness of 2 cognitive training modules, singlecomponent training, which targets 1 specific cognitive ability, versus multicomponent training, which trains multiple cognitive abilities, on both trained abilities (near transfer) and untrained abilities (far transfer) in older adults. The meta-analysis also assessed whether individual differences in mental status interacted with the extent of transfer. Eligible randomized controlled trials (215 training studies) examined the immediate effects of cognitive training in either healthy aging (HA) or mild cognitive impairment (MCI). Results yielded an overall net-gain effect size (g) for the cognitive training of 0.28 (p Ͻ .001). These effects were similar across mental status and training modules, and were significant for both near (g ϭ 0.37) and far (g ϭ 0.22) transfer. Although all training modules yielded significant near transfer, only a few yielded significant far transfer. Single-component training of executive functions was most effective on near and far transfer, with processing speed training improving everyday functioning. All modules of multicomponent training (specific and nonspecific) yielded significant near and far transfer, including everyday functioning. Training effects on cognition were moderated by educational attainment and number of cognitive outcomes, but only in HA. These findings suggest that, in older adults, all modules of multicomponent training are more effective in engendering near and far transfer, including everyday functioning, when compared with single-component training modules.

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Differential effects of cognitive training modules in healthy aging and mild cognitive impairment: A comprehensive meta-analysis of randomized controlled trials.

Basak

Qin

O’Connell

2020

Psychology and Aging

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Technology Acceptance among Older Adults With Mild Cognitive Impairement

Damayanti

Ali

Surin

2019

J. Phys.: Conf. Ser.

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An increase in the population of older adults raises major and serious problems faced by developing countries, especially in the problem of decreasing memory function. With the increase in population of older adults, there is also an increase in the occurrence of a decline in memory which leads to the stage of diagnosis, namely a decrease in mild cognitive function called Mild Cognitive Impairment. However, technology use is among the population of older adults who should be able to help improve memory most of them do not know. This paper reports educating older adults about technology and technology acceptance in helping the memory of older adults. In-depth interviews were conducted with older adults to gather information about demographics, experiences, and their opinions about using technology to help memory. Thus, this study provides education about the technology in the reception of older adults to help memory. Respondents consisted of men aged 60-65 years and women aged 60-63 years were interviewed using a semi-structured interview method. The results of the study of all Older adults accept technology to help with cognitive function problems in preventing and reducing the risk of dementia, such as using technology is very helpful and not lazy to train the brain.

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A Systematic Review on Predictors of Working Memory Training Responsiveness in Healthy Older Adults: Methodological Challenges and Future Directions

Ophey

Roheger

Folkerts

et al. 2020

Front. Aging Neurosci.

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Background: Research on predictors of working memory training responsiveness, which could help tailor cognitive interventions individually, is a timely topic in healthy aging. However, the findings are highly heterogeneous, reporting partly conflicting results following a broad spectrum of methodological approaches to answer the question “who benefits most” from working memory training. Objective: The present systematic review aimed to systematically investigate prognostic factors and models for working memory training responsiveness in healthy older adults. Method: Four online databases were searched up to October 2019 (MEDLINE Ovid, Web of Science, CENTRAL, and PsycINFO). The inclusion criteria for full texts were publication in a peer-reviewed journal in English/German, inclusion of healthy older individuals aged ≥55 years without any neurological and/or psychiatric diseases including cognitive impairment, and the investigation of prognostic factors and/or models for training responsiveness after targeted working memory training in terms of direct training effects, near-transfer effects to verbal and visuospatial working memory as well as far-transfer effects to other cognitive domains and behavioral variables. The study design was not limited to randomized controlled trials. Results: A total of 16 studies including n = 675 healthy older individuals with a mean age of 63.0–86.8 years were included in this review. Within these studies, five prognostic model approaches and 18 factor finding approaches were reported. Risk of bias was assessed using the Quality in Prognosis Studies checklist, indicating that important information, especially regarding the domains study attrition, study confounding, and statistical analysis and reporting, was lacking throughout many of the investigated studies. Age, education, intelligence, and baseline performance in working memory or other cognitive domains were frequently investigated predictors across studies. Conclusions: Given the methodological shortcomings of the included studies, no clear conclusions can be drawn, and emerging patterns of prognostic effects will have to survive sound methodological replication in future attempts to promote precision medicine approaches in the context of working memory training. Methodological considerations are discussed, and our findings are embedded to the cognitive aging literature, considering, for example, the cognitive reserve framework and the compensation vs. magnification account. The need for personalized cognitive prevention and intervention methods to counteract cognitive decline in the aging population is high and the potential enormous. Registration: PROSPERO, ID CRD42019142750.

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Computerized Cognitive Training in Healthy Older Adults: Baseline Cognitive Level and Subjective Cognitive Concerns Predict Training Outcome

Cited by 3 publications

References 66 publications

Differential effects of cognitive training modules in healthy aging and mild cognitive impairment: A comprehensive meta-analysis of randomized controlled trials.

Differential effects of cognitive training modules in healthy aging and mild cognitive impairment: A comprehensive meta-analysis of randomized controlled trials.

Technology Acceptance among Older Adults With Mild Cognitive Impairement

A Systematic Review on Predictors of Working Memory Training Responsiveness in Healthy Older Adults: Methodological Challenges and Future Directions

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