P-470 - The effect of alexithymia on somatization and sleep quality in major depressive patients
Bibliographic record
Abstract
The main description of alexithymia is a personality construct characterized by difficulties in experiencing and verbalizing emotions, and a poor capacity for symbolic thought reflected as a tendency toward externally oriented thinking. The aim of the present study is to investigate the effects of alexithymia on tendency of somatization and sleep quality in depressive patients. Eighty-five major depression patientswere included in the study. The Beck Depression Inventory (BDI), Toronto Alexithmia Scale, Symptom Interpretation Questionairre (SIQ) and Pittsburgh Sleep Quality Index (PSQI) were used for assesments and measurements. Patients with major depression were divided into two groups that alexithymic and non-alexithymic according to the aim of the study. There were significant differences in the BDI scores, the number of somatizating symptoms and psychologizing and somatizing scale scores in the SIQ, and daytime functionality scores in PSQI between alexithmic and non-alexithymic depressive patients. Alexithymia seems to be related with depressive symptomatology. Depressive patients with alexithymia may display abnormal health belief and difficulty in expressing their complaints. Therefore, alexithymia is a feature that affects the pattern of depressive symptoms. This present study confirmed that depressive patients have high prevalence of alexithymia, somatization and difficulty in expressing the feelings. Because of the loss of daytime functionality in the alexithymic depressive patients, clinicians should consider alexithymia in clinical practices.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".