P02-310 - Alexithymia Predicts Triglyceride Level, Systolic Blood Pressure, and Diabetic Status in Metabolic Syndrome
Bibliographic record
Abstract
Objectives The current study elucidates the relations between alexithymia and several biological components of the Metabolic Syndrome (MS). We hypothesized that various facets of the alexithymia construct are differentially related to single components characterizing the MS. Methods Investigated were N = 101 patients with MS. To establish the diagnosis of MS according to IDFC criteria, both laboratory (lipid profile, fasting plasma glucose, type 2 diabetes) and non-laboratory (blood pressure, waist circumference, BMI) tests were included. Alexithymia was measured using the Toronto Alexithymia Scale (TAS-20). Results Based on alexithymia scores, patients were classified as low- (TAS-20 score ≤ 51; N = 31), moderate- (51 < TAS-20 score < 61; N = 33), or high-alexithymic (TAS-20 score ≥ 61; N = 37). The amount of moderate and high alexithymic patients proved highly significant amongst patients with MS with readily established diabetes type 2. The alexithymia score showed overall correlations with diabetes type 2 (r = 0.380, p < 0.001) and triglyceride levels (r = 0.214, p < 0.016). Correlations with non-laboratory measures were significant for high blood pressure levels (r = 0.233, p < 0.010). Linear regression models confirmed the existence of linear causal relationships for the observed correlations. Conclusions The present results suggest that the alexithymia trait is related to specific biological marker variables in the metabolic syndrome. Alexithymia may, according to our study, contribute to the aggravation of the MS.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".