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

Introduction 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.This 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)

Computerized cognitive training for older adults at higher dementia risk due to diabetes: Findings from a randomized controlled trial

To evaluate the effects of adaptive and tailored computerized cognitive training on cognition and disease self-management in older adults with diabetesThis work was supported by Maccabi Health Services (MHS; grant no. 25860 to M.S.B.). The funding source played no role in the design and implementation of the trial, analysis and interpretation of the data, or preparation of the manuscript. 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 manuscript. R.B. was supported by the Vice-Chancellor Award from Bar Ilan University, Israel. A.B-F. was supported by an Australian National Health and Medical Research Council fellowship (grant no. 1072688). M.S.B. was supported by the National Institute on Aging (grant no. R01-AG-034087). A.H. is an employee of MHS who provided funding for this study. The authors declare that they have no competing interests