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Record W4405382616 · doi:10.1111/aphw.12634

Does mindfulness facilitate letting be? A longitudinal investigation of nonattachment as a mediator in the association between mindfulness, well‐being, and affect at trait and state levels

2024· article· en· W4405382616 on OpenAlexfundno aff
Ben C. L. Yu, Jacky C. K. Ng, Floria H. N. Chio, Winnie W. S. Mak

Bibliographic record

VenueApplied Psychology Health and Well-Being · 2024
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
FundersHong Kong Polytechnic UniversityManitoba Health Research Council
KeywordsMindfulnessTraitAssociation (psychology)Affect (linguistics)PsychologyClinical psychologyLongitudinal studyMediatorDevelopmental psychologyMedicinePsychotherapistInternal medicine

Abstract

fetched live from OpenAlex

This research investigated the mediating role of nonattachment in the association between mindfulness and well-being. Study 1, a 2-week ecological momentary assessment (EMA) study with 2446 responses from 69 participants, showed that state mindfulness at time (t) - 1 was not significantly associated with nonattachment at t and (positive and negative) affect at t + 1. However, nonattachment at t significantly mediated the association between state mindfulness at t and (positive and negative) affect at t. Study 2, a 2-month study with three waves of measurement (n = 224), showed that trait mindfulness at baseline could not predict psychological well-being at 2-month follow-up through nonattachment at 1-month follow-up. However, this mediating relationship was significant when all these variables were measured at baseline. People who are mindful at one moment may experience higher nonattachment and better well-being at the same moment; the beneficial effect could not be sustained over time among people who are largely non-meditators.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.308
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.351
Teacher spread0.319 · 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 teacher head, 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

Citations2
Published2024
Admission routes1
Has abstractyes

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