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Record W1900276456 · doi:10.1002/jts.21952

Social Anxiety Disorder Is Associated With PTSD Symptom Presentation: An Exploratory Study Within A Nationally Representative Sample

2014· article· en· W1900276456 on OpenAlexaff
Katherine A. McMillan, Jitender Sareen, Gordon J. G. Asmundson

Bibliographic record

VenueJournal of Traumatic Stress · 2014
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsUniversity of ManitobaUniversity of Regina
Fundersnot available
KeywordsComorbidityPsychiatryAnxietyPsychologyEpidemiologyClinical psychologySocial anxietyNational Comorbidity SurveyAnxiety disorderPopulationDepression (economics)MedicineInternal medicine

Abstract

fetched live from OpenAlex

Posttraumatic stress disorder (PTSD) and social anxiety disorder (SAD) demonstrate a high degree of comorbidity (ranging from 14.8% to 46.0%); however, little is known about the nature of this association. Contemporary research has largely focused on treatment-seeking or veteran samples, and may not generalize to the population as a whole. Large-scale epidemiological studies are needed to fill existing gaps in the literature and to clarify this association for the general population. The current study examined whether the presence of comorbid SAD influenced PTSD symptom presentation. The rate of individual PTSD symptoms was investigated among individuals with PTSD and SAD in comparison to those with PTSD alone. Data were obtained from Wave 2 of the National Epidemiological Survey of Alcohol and Related Conditions, a large, nationally representative survey of American adults (n = 34,653). Analyses revealed elevated rates of PTSD symptoms among those with comorbid PTSD and SAD across all symptom clusters, with significant odds ratios ranging from 1.5 to 4.87. Adjusting for depression and other Axis I disorders did not substantially alter study findings. Results suggest that the presence of SAD is associated with differences in the expression of PTSD symptoms.

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)0.001
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 score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.065
GPT teacher head0.383
Teacher spread0.318 · 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

Citations29
Published2014
Admission routes1
Has abstractyes

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