Alexithymia in patients with type 2 diabetes mellitus: the role of anxiety, depression, and glycemic control
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: This study was aimed at determining the prevalence of alexithymia in patients with type 2 DM and the factors affecting it. METHODS: This cross-sectional study was conducted with 326 patients with type 2 DM. Study data were collected with the Personal Information Form, Toronto Alexithymia Scale, and Hospital Anxiety and Depression Scale. Glycemic control was assessed by glycated haemoglobin (HbA1c) results. The analysis was performed using descriptive statistics, chi-square test, Pear-son's correlation, and logistic regression analysis. RESULTS: Of the patients, 37.7% were determined to have alexithymia. A significant relationship was determined between alexithymia and HbA1c, depression, and anxiety. According to binary logistic regression analyses, alexithymia was 2.63 times higher among those who were in a paid employment than those who were not, 2.09 times higher among those whose HbA1c levels were ≥7.0% than those whose HbA1c levels were <7.0%, 3.77 times higher among those whose anxiety subscale scores were ≥11 than those whose anxiety subscale scores were ≤10, and 2.57 times higher among those whose depression subscale scores were ≥8 than those whose depression subscale scores were ≤7. CONCLUSION: In this study, it was determined that two out of every five patients with DM had alexithymia. Therefore, their treatment should be arranged to include mental health care services.
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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) | 0.000 | 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 | 0.000 |
| 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 it