Associations Between Extreme/Adventure Sport, Exercise Growth and Posttrauamtic Growth Among Gynecologic Cancer Survivors
Bibliographic record
Abstract
PURPOSE: Exercise is associated with posttraumatic growth in gynecologic cancer survivors (GCS) but the role of extreme/adventure sport has not been investigated. The primary objective of this study was to examine the prevalence and interest in extreme/adventure sport in GCS and determine any associations with posttraumatic growth. METHODS: A Canadian provincial cancer registry generated a random sample of 2,064 GCS stratified by cancer type (i.e., cervical, endometrial, and ovarian) who were mailed a self-report survey that assessed demographic and medical variables, participation and interest in extreme/adventure sports, posttraumatic growth using several scales, and exercise growth. Exercise growth examined the extent to which the gynecologic cancer diagnosis itself prompted participation in more challenging, novel, and/or high risk activities. RESULTS: Of the 621 completed surveys, only 12.1% of GCS reported participating in extreme/adventure sports in the past year. Of 309 GCS interested in a future exercise study, 41.1% were interested in trying extreme/adventure sports. The strongest interest was for cross country skiing (56.9%) followed by horseback riding (51.5%) and river rafting (41.5%). After adjustment for key covariates, neither participation nor interest in extreme/adventure sport was associated with posttraumatic growth. However, all exercise growth items were significantly associated with all posttraumatic growth scales (all p’s<0.05). In multivariate regression analyses, exercise growth items explained 37.2 % of the variance in the posttraumatic growth inventory, 7.2% of the variance in the negative impact of cancer scale, 19.9% of the variance in the positive impact of cancer scale, and 23% of the variance in the benefit finding scale (all p’s<0.001). CONCLUSIONS: Participation and interest in extreme/adventure sports were not associated with posttraumatic growth; however, exercise growth was strongly associated with posttraumatic growth in GCS.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".