Semantic-based memory-encoding strategy for older adults with mild cognitive impairment
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Semantic-based memory-encoding strategy for older adults with mild cognitive impairment

Introduction: Approximately 20% of adults over 65 are affected by mild cognitive impairment (MCI), with up to 70% progressing to dementia. This highlights a critical need for research into early interventions that can help manage cognitive decline and its impact on occupational performance.

Objective: The objective was to explore the efficacy of a semantic-based memory-encoding strategy intervention in enhancing cognitive function and occupational performance in people with MCI. 

Methods: We conducted a two-arm, single-blind, non-randomized controlled trial with 39 participants assigned to either the semantic-based memory-encoding group or the cognitive stimulation group. Each group attended one session at a community center and one home-based session weekly for 10 weeks. Outcome measures, including occupational performance, memory, and general cognition, were evaluated before and after the intervention.

Results: No statistically significant differences were observed in demographic data or clinical baseline measures between the two groups. The semantic-based memory-encoding strategy group exhibited significant improvements in memory (p=.001-.033), general cognition (p=.001-.039), and occupational performance (p=.005). In contrast, the cognitive stimulation group showed significant enhancements in cognition (p=.029) and occupational performance (p=.029-.030). Between-group analysis revealed statistically significant differences in favour of the semantic-based memory-encoding strategy group, with improvements in memory (p=.001) and general cognition (p=.001).

Conclusion: The findings indicate that the semantic-based memory encoding strategy is effective for enhancing memory and cognitive abilities, which may help sustain occupational performance in individuals with MCI, supporting healthier aging in older adults.

Reference

  1. Mraz, H., Tong, C. Y., & Liu, K. P. Y. (2023). PloS one. 2023;18(3):e0283449