Association of cancer response styles and alexithymia with posttraumatic growth in breast cancer patients
Bibliographic record
Abstract
Objective: Breast cancer (BC) is one of the most common types of cancer seen in women. Many studies have been conducted to examine negative changes observed in patients diagnosed with BC. However, the traumatic experience of a cancer diagnosis can also have positive consequences, including post-traumatic growth (PTG), a positive life change that develops following a stressful experience. This study was an investigation of the relationship between PTG seen in female BC patients, cancer response style, and alexithymia, the inability to recognize and express one’s emotions. Method: A total of 89 female patients who were diagnosed with BC and receiving treatment were enrolled in the study. The Mental Adjustment to Cancer scale, the Toronto Alexithymia Scale, and the Posttraumatic Growth Inventory (PGTI) were administered to the participants. Pearson correlation and multiple linear regression analyses and structural equation modeling (SEM) were used to assess the relationships between normally distributed variables. Results: There was a significant, positive relationship between the fighting spirit reaction style and the PTGI total score (r=0.49; p<0.001), and a significant, negative relationship between the helplessness hopelessness reaction style and the PTGI total score (r=-0.46; p<0.001). Multiple regression analyses revealed that education level (years) was associated with PTG (β=1.13; t[82]=2.31; p=0.02) (F[6, 82=1.47]; p=0.2; R2=0.10), and the subfactors of changes in philosophy of life (CPL) (β=0.59; t[82]=3.28; p=0.002) and changes in self perception (CSP) (β=0.54; t[82]=2.21; p=0.03); and the length of time since diagnosis was associated with CPL (β=3.91; t[82]=2.37; p=0.02). SEM analysis showed that a fighting spirit response style to cancer partially mediated the relationship between alexithymia and PTG (χ2[12, n=89]=14.24; p=0.29; χ2/df=1.19; root mean square error of approximation [RMSEA]=0.05; comparative fit index [CFI]=0.99; incremental fit index [IFI]=0.99; normed fit index [NFI]=0.93). The other cancer response styles did not have a mediating effect on the relationship between alexithymia and PTG. Conclusion: Alexithymia is an important consideration in BC patients. Promoting a fighting spirit response in BC patients, and particularly alexithymic patients, could contribute to the development of PTG.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".