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25 Specific Facets of Trait Mindfulness Show Differences in Associations with Affective and Cognitive Measures in Older Adults
Published online by Cambridge University Press: 21 December 2023
Abstract
Trait mindfulness is associated with reduced stress and psychological well-being. However, evidence regarding its effects on cognitive function is mixed and certain facets of trait mindfulness are associated with higher negative affect (NA). This study investigated whether specific mindfulness skills were associated with cognitive performance and affective traits.
165 older adults from the Maine Aging Behavior Learning Enrichment (M-ABLE) Study completed the National Alzheimer’s Coordinating Center T-Cog battery, the Five Facet Mindfulness Questionnaire, and the Positive and Negative Affect Schedule-SF.
All five facets of trait mindfulness were associated with higher Positive Affect and lower NA, with the exception that Observation was not associated with trait NA. Partial correlations adjusting for age indicated that better episodic memory was associated with Observation, Describing, and Nonreactivity. Verbal fluency performance was associated with Observation, while Working Memory was associated with Nonjudgment. Executive Attention/Processing speed was associated with total mindfulness scores and showed a trend relationship with Nonreactivity.
Mindfulness skills showed specific patterns with affective traits and cognitive function. These findings suggest that the ability to maintain awareness, describe, and experience internal and external states without reacting to them may partly rely on episodic memory. Mindful awareness skills also may depend on frontal and language functions, while the ability to experience emotional states without reacting may require Executive Attention. Global mindfulness and a non-judgmental stance may require auditory attention. Alternatively, mindfulness skills may serve to enhance these functions. Hence, longitudinal research is needed to determine the directionality of these findings.
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- Poster Session 04: Aging | MCI
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- Copyright © INS. Published by Cambridge University Press, 2023