Psychological functioning of patients with type I diabetes: the relevant role of alexithymia and intolerance to uncertainty
Bibliographic record
Abstract
Introduction: Type 1 Diabetes Mellitus (T1DM) represents a serious condition with high prevalence and increasing incidence. Phenomena such as alexithymia, intolerance to uncertainty and psychopathology are recognized as generally affecting individuals' health status and contributing to the worsening of T1DM. The present study aimed to study the relationships between these variables and differences relative to age and gender of T1DM patients. Methods: A sample of 150 participants aged between 11 and 18 years old with T1DM was recruited. All participants completed the diagnostic protocol, consisting of a sociodemographic questionnaire, Toronto Alexithymia Scale, Intolerance to Uncertainty Scale and Self Administrated Psychiatric Scales for Children and Adolescents (different psychopathological domains). Descriptive, correlational, regression and differential analyses were conducted. Results: Alexithymia and intolerance to uncertainty predicted psychopathology and significant differences were found among age and gender groups. Discussion: Despite this, more studies are necessary to improve knowledge in the field of psychological functioning in T1DM. Further research to deepen understanding of how alexithymia and intolerance of uncertainty influence psychological functioning in T1DM are indicated.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".