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Record W4377981261 · doi:10.18863/pgy.1231762

Relationship between Alexithymia and Coping Attitudes in Generalized Anxiety Disorder

2023· article· en· W4377981261 on OpenAlexaboutno aff
Hayriye Baykan, Merve Şahin Can

Bibliographic record

VenuePsikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry · 2023
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaToronto Alexithymia ScaleGeneralized anxiety disorderPsychologyAnxietyClinical psychologyCoping (psychology)Dysfunctional familyTraitCorrelationPsychiatry

Abstract

fetched live from OpenAlex

Among anxiety disorders, the incidence of alexithymic features is found in a wide range of 12.5-58%, and it is a personality trait that can also be seen in healthy individuals. Our study investigated the relationship between alexithymic features and coping attitudes in patients with generalized anxiety disorder. Forty patients diagnosed with Generalized Anxiety Disorder and 39 healthy volunteers participated in the study. Participants were divided into groups using the Toronto Alexithymia Scale, and the Hamilton Anxiety Scale and Coping Attitudes Scale were applied to all participants. Nineteen patients with alexithymia and Generalized anxiety disorder, 21 patients with Generalized anxiety disorder without alexithymia, and 39 healthy volunteers participated in this study. Statistically significant differences were observed between the problem-focused coping and emotion-focused coping subscale scores, but there was no difference in dysfunctional coping styles between the three groups. In the correlation analysis performed to determine the relationship between the total alexithymia and Coping attitudes subscale scores, there was a moderate negative correlation between the alexithymia scores and problem-focused (r=-0.442) and emotion-focused coping (r=-0.425) subscale scores. Alexithymia is often accompanied by generalized anxiety disorder and negatively affects coping attitudes.

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 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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.103
GPT teacher head0.345
Teacher spread0.242 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuePsikiyatride Guncel Yaklasimlar - Current Approaches in PsychiatrySame topicPsychosomatic Disorders and Their TreatmentsFrench-language works237,207