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Record W3164682312 · doi:10.1101/2021.05.17.21257320

Trait mindfulness is associated with less amyloid, tau, and cognitive decline in individuals at risk for Alzheimer’s disease

2021· preprint· en· W3164682312 on OpenAlexafffund
Cherie Strikwerda‐Brown, Hazal Ozlen, Alexa Pichet Binette, Marianne Chapleau, Natalie L. Marchant, John C.S. Breitner, Sylvia Villeneuve

Bibliographic record

VenuemedRxiv · 2021
Typepreprint
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsMontreal Neurological Institute and HospitalMcGill UniversityDouglas Mental Health University Institute
FundersCanadian Institutes of Health ResearchGovernment of CanadaAlzheimer's SocietyPfizerFondation Brain CanadaMcGill UniversityPfizer CanadaAlzheimer's Association
KeywordsMindfulnessPsychologyDementiaCognitive declineCognitionTraitClinical psychologyDiseasePsychiatryMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract BACKGROUND AND OBJECTIVES Mindfulness, defined as non-judgmental awareness of the present moment, has been associated with an array of mental and physical health benefits, including improved cognitive functioning and changes to brain structure and function. Mindfulness may also represent a protective factor for Alzheimer’s disease (AD). Here, we tested the potential protective effect of trait mindfulness on cognitive decline and AD pathology in older adults at risk for AD dementia. METHODS Two hundred sixty-one nondemented older adults with a family history of AD dementia were included from the PREVENT-AD observational cohort study, including 124 with Aβ- and tau-positron emission tomography (PET) scans. All participants completed measures of trait mindfulness and longitudinal cognitive assessments. Multivariate partial least squares analyses were used to examine relationships between combinations of different facets of trait mindfulness and (1) cognitive decline, (2) Aβ, and (3) tau. RESULTS Higher levels of mindful nonjudgment, describing, and nonreactivity were associated with less cognitive decline in attention, global cognition, and immediate and delayed memory. Higher levels of mindful nonjudgment and nonreactivity were related to less Aβ-PET signal in bilateral medial and lateral temporoparietal and frontal regions. Higher levels of mindful acting with awareness, describing, nonjudgment, and nonreactivity were associated with less tau-PET signal in bilateral temporal regions, namely entorhinal cortex, amygdala, and parahippocampal, fusiform, and inferior temporal gyri. These relationships remained significant when additional demographic (age, sex, education and APOE status) and psychological (personality traits and neuropsychiatric symptoms) were included in analyses. When mindfulness, personality traits, and neuropsychiatric symptoms were entered into the same model, mindful nonjudgment showed the strongest association with cognitive decline and Aβ. DISCUSSION Trait mindfulness is associated with less cognitive decline and less Aβ and tau in the brain in older adults at risk for AD dementia. In addition to its other health benefits, trait mindfulness may also represent a psychological protective factor for AD dementia. Longitudinal studies examining the temporal relationship between trait mindfulness and AD markers, along with mindfulness intervention studies with cognition and pathology as outcome variables, will be important for further clarifying the potential protective benefits of mindfulness on AD risk.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0010.000

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 head0.058
GPT teacher head0.339
Teacher spread0.281 · 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

Citations6
Published2021
Admission routes2
Has abstractyes

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