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Record W4389453006 · doi:10.1037/per0000640

The role of mindfulness and emotion regulation in dialectical behavioral therapy for borderline personality disorder.

2023· article· en· W4389453006 on OpenAlexafffund
Philippa Hood, Michael D. Maraun, Shelley McMain, Janice R. Kuo, Alexander L. Chapman

Bibliographic record

VenuePersonality Disorders Theory Research and Treatment · 2023
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsCentre for Addiction and Mental HealthSimon Fraser University
FundersCanadian Institutes of Health Research
KeywordsDialectical behavior therapyPsychologyBorderline personality disorderMindfulnessPsychotherapistBehavioral therapyDialecticClinical psychologyPersonalityPsychoanalysis

Abstract

fetched live from OpenAlex

= 27.75) with BPD who were randomly assigned to receive either 6 or 12 months of standard DBT. Primary hypotheses were that: (a) changes in mindfulness would occur before changes in emotion regulation, and (b) changes in emotion regulation would mediate the association of changes in mindfulness with changes in BPD symptoms. Results from changepoint analysis illuminated the proportion of participants for whom first changes occurred in emotion regulation (40.7%), mindfulness (32.4%), or both (26.9%). Contrary to hypotheses, five-wave, cross-lagged analyses did not indicate mediational effects of either mindfulness or emotion regulation on the association of either variable with change in BPD symptoms. Supplemental analyses, however, suggested that changes in emotion regulation mediated the inverse association of changes in mindfulness with changes in BPD symptoms. Findings highlight patterns of change in key, proposed mechanisms of change in DBT and suggest important future research directions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.072
GPT teacher head0.419
Teacher spread0.347 · 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

Citations8
Published2023
Admission routes2
Has abstractyes

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