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Record W2328633916 · doi:10.1177/2156587214553940

The Importance of Cultivating Mindfulness for Cognitive and Emotional Well-Being in Late Life

2014· article· en· W2328633916 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Evidence-Based Complementary & Alternative Medicine · 2014
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMindfulnessAssociation (psychology)PsychologyTraitCognitionMediationClinical psychologyQuality of life (healthcare)Cognitive flexibilityPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

The cultivation of mindfulness has received increasing attention over the past 2 decades because of its association with increased psychological well-being and reduced stress-related health disorders. Given the robust positive association between perceived stress and cognitive impairment in late life, the current study evaluated the association between trait mindfulness, psychological well-being, and cognitive function in 73 healthy community-dwelling older adults. Controlling for a priori covariates, multivariate regression analyses showed a significant association between trait mindfulness and measures of psychological well-being, including self-reported depressive symptoms, quality of life, and stress profile. Analyses further showed a significant association between trait mindfulness and executive function, namely set shifting. No association was found for declarative memory. Mediation analyses showed that the association between mindfulness and cognitive function is mediated by perceived stress. This research supports the importance of cultivating mindfulness in late life to ensure cognitive and emotional well-being.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.130
GPT teacher head0.409
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it