Background: To evaluate the effects of adaptive and tailored computerized cognitive training on cognition and disease self-management in older adults with diabetes. Methods: This was a single-blind trial. Eighty-four community-dwelling older adults with diabetes were randomized into a tailored and adaptive computerized cognitive training or a generic, non-tailored or adaptive computerized cognitive training condition. Both groups trained for 8 weeks on the commercially available CogniFit program and were supported by a range of behavior change techniques. Participants in each condition were further randomized into a global or cognition-specific self-efficacy intervention, or to a no self-efficacy condition. The primary outcome was global cognition immediately following the intervention. Secondary outcomes included diabetes self-management, meta-memory, mood, and self-efficacy. Assessments were conducted at baseline, immediately after the training, and at a 6-month follow-up. Results: Adherence and retention were lower in the generic computerized cognitive training condition, but the self-efficacy intervention was not associated with adherence. Moderate improvements in performance on a global cognitive composite at the posttreatment assessments were observed in both cognitive training conditions, with further small improvement observed at the 6-month follow-up. Results for diabetes self-management showed a modest improvement on self-rated diabetes care for both intervention conditions following the treatment, which was maintained at the 6-month follow-up. Conclusions: Our findings suggest that older adults at higher dementia risk due to diabetes can show improvements in both cognition and disease self-management following home-based multidomain computerized cognitive training. These findings also suggest that adaptive difficulty and individual task tailoring may not be critical components of such interventions. Trial registration: NCT02709629.
|Number of pages||8|
|Journal||Journals of Gerontology - Series A Biological Sciences and Medical Sciences|
|State||Published - 9 Mar 2020|
Bibliographical noteFunding Information:
This 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.
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