The effect of family APGAR on alexithymia in elderly patients with type 2 diabetes: The mediating role of fear of progression
Bibliographic record
Abstract
Abstract Objectives This study would investigate the role of fear of progression in mediating the relationship between family APGAR and alexithymia. Methods A convenience sampling method was used to survey 402 elderly patients with type 2 diabetes in a hospital of Liaoning province. They were surveyed using the general demographic questionnaire, twenty-item Toronto alexithymia scale (TAS-20), family APGAR scale, and fear of progression questionnaire-short form (FoP-Q-SF). Results Family APGAR has a negative correlation with alexithymia (r=-0.364, p < 0.01). The fear of progression was positively correlated with alexithymia (r = 0.777, p < 0.01). The mediating effect of fear of progression accounted for 61.17% of the total effect. Conclusions This study had shown that the fear of progression plays a mediating role in reducing alexithymia in elderly patients with type 2 diabetes.
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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 | 0.001 |
| 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".