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Record W2042992559 · doi:10.2466/pr0.105.3.935-944

Alexithymia in Severely Obese Patients Seeking Surgical Treatment

2009· article· en· W2042992559 on OpenAlexaboutno aff
Virginie Maréchal, Gwenolé Loas, Alain Legrand, Maurice Corcos

Bibliographic record

VenuePsychological Reports · 2009
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaToronto Alexithymia ScalePsychologyAnhedoniaBody mass indexImpulsivityNeuroticismClinical psychologyMoodPersonalityPsychiatryMedicineInternal medicineSchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

The purpose of the study was to examine the rate of alexithymia as measured by the Toronto Alexithymia Scale in a sample of severely obese subjects, as well as the relationships between this dimension and five other dimensions found in obesity: depression, anhedonia, external locus of control, impulsivity, and interpersonal dependency. A second purpose was to test the hypothesis that alexithymia could be a prognosis factor in severely obese subjects seeking bariatric surgery. 49 severely obese and 40 psychiatric patients presenting mood, neurotic, or personality disorders participated. Analyses showed a significantly lower rate of alexithymia in severely obese (42.9%) than in psychiatric patients (67.5%). Interpersonal dependency was the main predictor of alexithymia in the two samples and impulsivity as well as anhedonia were independent predictors of alexithymia only in the severely obese sample. Preoperative Body Mass Index was the sole predictor of 1-yr. postoperative Body Mass Index in severely obese subjects receiving surgical treatment.

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 score0.104
Threshold uncertainty score0.700

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 studies0.0000.000
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 head0.027
GPT teacher head0.333
Teacher spread0.306 · 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

Citations9
Published2009
Admission routes1
Has abstractyes

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