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Record W4398246860 · doi:10.1002/jclp.23708

A self‐determination theory perspective on the relationship between emotion regulation styles, mindfulness facets, and well‐being in adults with self‐injury

2024· article· en· W4398246860 on OpenAlexaff
Julia Petrovic, Devin J. Mills, Nancy L. Heath

Bibliographic record

VenueJournal of Clinical Psychology · 2024
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsMcGill University
Fundersnot available
KeywordsMindfulnessPsychologyVitalityMediationWell-beingClinical psychologyPerspective (graphical)Developmental psychologyPsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: The relevance of emotion regulation (ER) difficulties to nonsuicidal self-injury (NSSI; the deliberate destruction of one's bodily tissue without suicidal intent) has been repeatedly documented. Recently, specific mindfulness facets (i.e., awareness, nonjudging, describing) have been proposed as mechanisms that explain this relationship. The present study sought to extend this line of inquiry by exploring the mediating role of mindfulness facets in the relation between self-determination theory-based ER styles (i.e., integrative ER, suppressive ER, emotion dysregulation) and indices of positive and negative well-being (i.e., subjective vitality, NSSI difficulties), while controlling for gender, in adults with recent NSSI engagement. METHODS: US adults with a history of more than one occurrence of NSSI within the last year (n = 222) completed online measures of ER styles, mindfulness facets, subjective vitality, and NSSI difficulties. RESULTS: A mediation model indicated that the effects of ER styles on positive and negative well-being were explained by specific mindfulness facets (i.e., awareness, nonjudging, nonreactivity, describing). CONCLUSIONS: The present study provides preliminary evidence that facets of dispositional mindfulness may be mechanisms through which ER styles impact positive and negative indices of well-being in adults with lived experience of NSSI.

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)0.004
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 integrity0.0000.001
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 head0.078
GPT teacher head0.454
Teacher spread0.376 · 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.

Study designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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