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Record W2801942407

Efficacy of Mindfulness-Based Cognitive Behavior Therapy in Adults with Stuttering: A Preliminary Study

2016· article· en· W2801942407 on OpenAlexaboutno aff
Sanjeev Kumar Gupta

Bibliographic record

VenueIndian journal of clinical psychology · 2016
Typearticle
Languageen
FieldPsychology
TopicStuttering Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsStutteringMindfulnessBeck Anxiety InventoryClinical psychologyQuality of life (healthcare)AnxietyFluencyCognitionPsychologyIntervention (counseling)MedicinePsychotherapistBeck Depression InventoryPsychiatryDevelopmental psychology
DOInot available

Abstract

fetched live from OpenAlex

The aim of this preliminary study was to examine the efficacy of mindfulness-based cognitive behavior therapy (CBT) for enhancing communication attitude, quality of life, self-esteem and speech fluency in adults who stutter. A pre-post interventional design was employed. The sample consisted of 5 adults with the diagnosis of stuttering. The the rapeutic program included 15–20 sessions of one hour each. The pre and post intervention assessments were done using Toronto Mindfulness Scale, Modified Erickson Scale of Communication Attitudes, WHO Quality of Life-BREF Scale, Beck Anxiety Inventory, Rosenberg's Self-Esteem Scale, Perceptions of Stuttering Inventory and Stuttering Severity Instrument. The finding of the study shows that mindfulness-based CBT is effective in treatment of adults who stutter.

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)0.001
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 score0.350
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.135
GPT teacher head0.508
Teacher spread0.372 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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