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Computer-based cognitive training for older adults: Determinants of adherence
Merita Turunen1, Laura Hokkanen2, Lars Bäckman3
1Public Health Promotion Unit, National Institute for Health and Welfare (THL), Helsinki, Finland.
Plos One
|July 11, 2019
Summary
Computer-based cognitive training (CCT) adherence varies significantly in older adults at risk for dementia. Previous computer experience and better memory predict starting CCT, while only computer use predicts completing more sessions.
Area of Science:
- Gerontology
- Cognitive Neuroscience
- Digital Health
Background:
- Computer-based cognitive training (CCT) shows promise for delaying dementia onset, but adherence in older adults remains a challenge.
- Understanding factors influencing adherence is crucial for optimizing CCT interventions within broader lifestyle programs like the FINGER study.
Purpose of the Study:
- To investigate adherence rates to a long-term CCT program among older adults at increased dementia risk.
- To identify participant characteristics associated with both initiating and completing CCT sessions.
Main Methods:
- Utilized data from 631 participants (aged 60-77) in the FINGER study, randomized to a multi-domain intervention including CCT.
- Employed zero-inflated negative binomial regression to analyze predictors of starting CCT and completing sessions (max 144).
- Examined cognitive, demographic, lifestyle, and health variables as potential adherence predictors.
Main Results:
- 63% of participants engaged in CCT at least once; 20% completed ≥50% of sessions, and 12% completed all sessions.
- Initiating CCT was associated with prior computer experience, marital status, better memory, and positive study expectations.
- Only previous computer use predicted a higher number of completed CCT sessions.
Conclusions:
- Adherence to long-term CCT in at-risk older adults is highly variable.
- Interventions should consider promoting computer use and assessing cognitive function to enhance CCT engagement.
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