Self-Efficacy, Perceived Preparedness, and Psychological Distress in Women Completing Primary Treatment for Breast Cancer
Bibliographic record
Abstract
The present analyses were conducted to examine demographic and clinical variables associated with mood and health-related distress in a sample of 440 women completing primary treatment for early-stage breast cancer. The authors' aim was to test the hypothesis that higher levels of self-efficacy and perceived preparedness for the end of treatment--the reentry phase--are associated with better mood and lower health-related distress in this sample. Women who had received chemotherapy and who were younger (<50 years) had significantly higher mood disturbance and health-related distress scores. Younger age, preparedness, and self-efficacy predicted 36% of the variance in mood disturbance scores. Self-efficacy and age predicted 26% of the variance in health-related distress. Although further research is needed, our findings suggest that self-efficacy and perceived preparedness represent important constructs to target in the development of interventions for women at the reentry transition.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".