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Record W2522423518 · doi:10.1080/10615806.2016.1239083

Self-focused attention and safety behaviors across group therapies for social anxiety disorder

2016· article· en· W2522423518 on OpenAlexafffund
Amanda Desnoyers, Nancy L. Kocovski, Jan E. Fleming, Martin M. Antony

Bibliographic record

VenueAnxiety Stress & Coping · 2016
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsCentre for Addiction and Mental HealthUniversity of TorontoToronto Metropolitan UniversityWilfrid Laurier University
FundersOntario Ministry of Research, Innovation and ScienceOntario Mental Health Foundation
KeywordsMindfulnessPsychologyMediationClinical psychologySocial anxietySafety behaviorsAnxietyCognitive behavioral therapyCognitionPoison controlHuman factors and ergonomicsMedicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Self-focused attention (SFA) and safety behaviors are two variables implicated in the maintenance of social anxiety disorder (SAD). DESIGN: The present study examined SFA and safety behaviors across two therapies for SAD, cognitive behavioral group therapy (CBGT) and mindfulness and acceptance-based group therapy (MAGT). METHOD: Participants with symptoms meeting criteria for SAD (N = 137) were randomly assigned to the 12-week-treatment groups (n = 53 for each condition) or a waitlist control (n = 31). Variables were assessed at baseline, midtreatment, posttreatment, and a 3-month follow-up. RESULTS: Both treatment conditions reported significantly lower SFA and safety behaviors compared to control, but did not differ from one another at posttreatment. Mediation analyses supported the following models: (1) safety behaviors mediating the relationship between SFA and social anxiety, and (2) SFA mediating the relationship between safety behaviors and social anxiety. These models were supported for both treatment groups. CONCLUSIONS: Both treatments may have the potential to reduce the SFA and safety behaviors that serve to maintain SAD.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.027
GPT teacher head0.343
Teacher spread0.316 · 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 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

Citations21
Published2016
Admission routes2
Has abstractyes

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