Alexithymia, depression, anxiety and binge eating in obese women
Bibliographic record
Abstract
Background and Objectives: Alexithymia is a personality trait that may affect the development and course of obesity and effectiveness of treatment. The aim of the study is to assess the prevalence of alexithymia in obese women beginning a weight reduction program and determine the relationships between alexithymia and anxiety, depression, and binge eating. Methods: Obese women (n = 100; age 45 ± 13 yr) completed the following self-report inventories: Toronto Alexithymia Scale (TAS 26), Hospital Anxiety and Depression Scale (HADS), and Binge Eating Scale (BES). Results: Alexithymia was found in 46 patients and was more frequent among women who had attained only primary and vocational education than in those with a higher education level (39.1% vs. 10.9%; p = 0.002) and in those >45 years old than in younger women (30.4% vs. 69.6%; p = 0.03). The frequency of severe depression symptoms was higher in alexithymic women than in non-alexithymic women (19.6% vs. 5.6%; p = 0.03); however, the anxiety state was equally prevalent in both subgroups. The prevalence of alexithymia (52.6% vs. 44.4%) and its level (73.2 ± 8.9 vs. 71.2 ± 11.3 points) were similar in women with and without binge eating disorder. Multivariate mixed linear regression analysis revealed that higher body mass index was associated with primary and vocational education (odds ratio [OR] = 16.69) and severe depression symptoms (OR = 52.45), but not alexithymia. Conclusions: In addition to severe depression and low education level, obesity may predispose for the development of alexithymia. However, alexithymia does not affect the severity of obesity in women.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".