Behavioral Characteristics,Alexithymia and Coping Styles of Patients with Acute Leukemia
Bibliographic record
Abstract
Objective: To investigate psychosocial factors of acute leukemia patients.Methods: 59 patients with acute leukemia(AL) ,45 hematopathy patients with non-malignant tumor (NMT) and 63 health persons were included and tested with three Questionnaires (Behavioral Characteristics Questionnaire ,Totronto Alexithymia scale,simple coping style questionnaire). Results: AL group had lower scores in Expression of Anger Inward (14.2±2.8)and total of Alexithymia(68.8±8.7) than NMT group(15.2±2.1,73.3±8.5, P0.05),and had higher scores in Optimism and Social Support than health group(21.9±3.6/20.6±3.0,17.7±2.1/16.4±2.4,P0.05).AL patients used less coping strategies than other two groups. Mutual-factors Analysis using Logistic regression model revealed three variables that demonstrated a statistically significant discrimination between AL group and NMT group:Age (OR=0.93), Expression of Anger Inward (OR=0.77)and Emotional Control(OR=1.05). It revealed three variables that demonstrated a statistically significant discrimination between AL group and health group: Optimism(OR=1.15), Social Support(OR=1.25) and Positive Copingstyles(OR=0.90).Conclusion: AL patients' Optimism and fantasy is likely to be helpful to fit their inner world to coping disease. It should deserved the clinician's attention to help AL patients to face disease better.
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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 | 0.001 | 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 | 0.001 | 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".