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Study of stress and vulnerability in patients with somatoform and dissociative disorders in a psychiatric clinic in North India

2006· article· en· W1982720661 on OpenAlexaboutno aff
Anand S. Irpati, Ajit Avasthi, Pratap Sharan

Bibliographic record

VenuePsychiatry and Clinical Neurosciences · 2006
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPsychoticismNeuroticismDissociativeExtraversion and introversionPsychologyDissociative Experiences ScalePsychiatryClinical psychologyDissociative disordersVulnerability (computing)PsychosisBig Five personality traitsPersonalitySchizotypy

Abstract

fetched live from OpenAlex

The authors compared perceived stress in subgroups of patients defined by vulnerability (high and low) and disorder (somatoform and dissociative). A total of 30 patients each of somatoform and dissociative disorders diagnosed according to the classification of mental and behavioral disorders criteria were assessed with Presumptive Stressful Life Event Scale, The Hassles Scale, Psychoticism Extraversion Neuroticism Inventory, Dissociative Experience Scale, Twenty-Item Toronto Alexithyma Scale, and Illness Behavior Questionnaire. Somatoform and dissociative disorder groups had comparable scores on measures of perceived stress and vulnerability. Two-way anova showed significant main effect of neuroticism (F = 13.65, d.f. = 1.56, P < 0.01), psychoticism (F = 7.92, d.f. = 1.56, P < 0.01), illness behavior (F = 5.82, d.f. = 1.56, P < 0.05), and dissociative experience (F = 8.45, d.f. = 1.56, P < 0.01) on total hassles score, but no significant main effect of disorder groups or interaction effect for disorder and vulnerability was seen on total hassles score. No significant main or interaction effect was seen on life events score. Similarities were seen in stress and vulnerability factors in the two disorders. Neuroticism, psychoticism, dissociative experience, and abnormal illness behavior were significantly related to stress (daily hassles) perceived by the patient, irrespective of the disorder.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.011
GPT teacher head0.307
Teacher spread0.296 · 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

Citations11
Published2006
Admission routes1
Has abstractyes

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