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Record W4205299684 · doi:10.1002/alz.051111

Mindfulness is associated with amyloid, tau and cognition in preclinical AD

2021· article· en· W4205299684 on OpenAlexaff
Cherie Strikwerda‐Brown, Hazal Ozlen, Alexa Pichet Binette, Marianne Chapleau, Sylvia Villeneuve

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsMindfulnessPsychologyClinical psychologyAnxietyNeuroticismCognitionNeuropsychologyDiseasePersonalityPsychiatryMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Mindfulness refers to the ability to engage in non‐judgmental awareness of the present moment. This psychological trait is gaining increased attention in both scientific and general public settings, given its association with an array of health benefits. While psychological traits such as depression, anxiety, and neuroticism have been associated with increased risk for Alzheimer’s disease (AD), the potential protective benefit of ‘positive’ psychological factors, such as mindfulness, remains to be explored. Here, we examined the relationship between mindfulness and AD markers in the preclinical phase of the disease. Method Two hundred and sixty cognitively normal older adults, including 124 with amyloid and tau‐PET scans, were included from the PREVENT‐AD cohort. All participants completed the Five Facet Mindfulness Questionnaire and a comprehensive neuropsychological battery. Multivariate partial least squares (PLS) analyses were used to examine the relationships between different facets of mindfulness (Observing, Describing, Acting with Awareness, Nonjudgment, and Nonreactivity), AD pathology, and cognition. Result Higher levels of mindful nonjudgment and nonreactivity were associated with less amyloid deposition in bilateral temporoparietal and frontal cortices (p = .003; Figure 1A). Higher levels of mindful acting with awareness, nonjudgment, nonreactivity, and describing were also related to less tau deposition in bilateral medial and lateral temporal regions (p < .006; Figure 1B). Finally, higher levels of mindful nonjudgment and describing were associated with better performance on measures of global cognition, immediate and delayed memory, and attention (p = .002; Figure 2). These relationships remained significant when additional psychological (depression, anxiety, stress, perseverative thinking and personality traits) and demographic (age, sex, education and APOE status) variables were included in analyses. Conclusion Higher trait mindfulness was associated with less amyloid and tau pathology and better cognition in the preclinical phase of AD, with distinct combinations of mindfulness facets differentially related to each of the AD markers. These findings suggest that, in addition to its other established health benefits, mindfulness may also represent an independent psychological protective factor for AD. Moreover, this study provides empirical support for the potential utility of mindfulness interventions in early AD, which represents an area of significant ongoing international research interest.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.084
GPT teacher head0.395
Teacher spread0.312 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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