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Computerized cognitive training for older diabetic adults at risk of dementia: Study protocol for a randomized controlled trial

dc.contributor.authorBloom, Rachel
dc.contributor.authorSchnaider-Beeria, Michal
dc.contributor.authorRavona-Springer, Ramit
dc.contributor.authorHeymann, Anthony
dc.contributor.authorDabush, Hai
dc.contributor.authorBar, Lior
dc.contributor.authorSlater, Shirel
dc.contributor.authorRassovsky, Yuri
dc.contributor.authorBahar-Fuchs, Alex
dc.date.accessioned2021-05-26T04:47:45Z
dc.date.available2021-05-26T04:47:45Z
dc.date.issued2017
dc.date.updated2020-11-23T10:21:02Z
dc.description.abstractIntroduction Older adults with type 2 diabetes are at high risk of cognitive decline and dementia and form an important target group for dementia risk reduction studies. Despite evidence that computerized cognitive training (CCT) may benefit cognitive performance in cognitively healthy older adults and those with mild cognitive impairment, whether CCT may benefit cognitive performance or improve disease self-management in older diabetic adults has not been studied to date. In addition, whether adaptive difficulty levels and tailoring of interventions to individuals' cognitive profile are superior to generic training remains to be established. Methods Ninety community-dwelling older (age ≥ 65) diabetic adults are recruited and randomized into a tailored and adaptive computerized cognitive training condition or to a generic, nontailored, or adaptive CCT condition. Both groups complete an 8-week training program using the commercially available CogniFit program. The intervention is augmented by a range of behavior-change techniques, and participants in each condition are further randomized into a global or cognition-specific phone-based self-efficacy (SE) condition, or a no-SE condition. The primary outcome is global cognitive performance immediately after the intervention. Secondary outcomes include diabetes self-management, meta-memory, mood, and SE. Discussion This pilot study is the first trial evaluating the potential benefits of home-based tailored and adaptive CCT in relation to cognitive and disease self-management in older diabetic adults. Methodological strengths of this trial include the double-blind design, the clear identification of the proposed active ingredients of the intervention, and the use of evidence-based behavior-change techniques. Results from this study will indicate whether CCT has the potential to lower the risk of diabetes-related cognitive decline. The outcomes of the trial will also advance our understanding of essential intervention parameters required to improve or maintain cognitive function and enhance disease self-management in this at-risk group.en_AU
dc.description.sponsorshipThis study was conducted with the support of an MHS grant to Michal Schnaider-Beeri (grant no. 25860). The funding source played no role in the design and implementation of the trial, analysis and interpretation of the data, or preparation of the article. The CCT platform was donated by CogniFit. CogniFit or its employees played no role in the design and implementation of the trial, analysis and interpretation of the data, or preparation of the article. Rachel Bloom is supported by the Vice-Chancellor Award awarded to her by Bar Ilan University. Alex Bahar-Fuchs is supported by an Australian National Health and Medical Research Council fellowship (grant no. 1072688).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2352-8737en_AU
dc.identifier.urihttp://hdl.handle.net/1885/233817
dc.language.isoen_AUen_AU
dc.provenanceThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_AU
dc.publisherElsevier Inc.en_AU
dc.rights© 2017 The Authorsen_AU
dc.rights.licenseCreative Commons Attribution licenceen_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceAlzheimer's & Dementia: Translational Research & Clinical Interventionsen_AU
dc.source.urihttps://alz-journals.onlinelibrary.wiley.com/doi/full/10.1016/j.trci.2017.10.003en_AU
dc.subjectDiabetes mellitusen_AU
dc.subjectDementiaen_AU
dc.subjectMild cognitive impairmenten_AU
dc.subjectComputerized cognitive trainingen_AU
dc.subjectBrain trainingen_AU
dc.subjectSelf-managementen_AU
dc.titleComputerized cognitive training for older diabetic adults at risk of dementia: Study protocol for a randomized controlled trialen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue4en_AU
local.bibliographicCitation.lastpage650en_AU
local.bibliographicCitation.startpage636en_AU
local.contributor.affiliationBloom, Rachel, Sheba Medical Centeren_AU
local.contributor.affiliationSchnaider-Beeria, Michal, Sheba Medical Centeren_AU
local.contributor.affiliationRavona-Springer, Ramit, Sheba Medical Centeren_AU
local.contributor.affiliationHeymann, Anthony, Maccabi Healthcare Servicesen_AU
local.contributor.affiliationDabush, Hai, Sheba Medical Centeren_AU
local.contributor.affiliationBar, Lior, Sheba Medical Centeren_AU
local.contributor.affiliationSlater, Shirel, Sheba Medical Centeren_AU
local.contributor.affiliationRassovsky, Yuri, Bar-Ilan Universityen_AU
local.contributor.affiliationBahar-Fuchs, Alex, College of Health and Medicine, ANUen_AU
local.contributor.authoruidBahar-Fuchs, Alex, u5076397en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor111702 - Aged Health Careen_AU
local.identifier.ariespublicationa383154xPUB8942en_AU
local.identifier.citationvolume3en_AU
local.identifier.doi10.1016/j.trci.2017.10.003en_AU
local.identifier.scopusID2-s2.0-85034767934
local.publisher.urlhttps://alz-journals.onlinelibrary.wiley.comen_AU
local.type.statusPublished Versionen_AU

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