Body image concerns of young adult cancer survivors: A brief report
Bibliographic record
Abstract
Background The purpose of this study was to describe body image among young adult (YA) cancer survivors and examine relationships between body image and personal, medical, and psychosocial variables. Methods: YAs (n = 522; Mage = 34 ± 6 years) completed an online survey and data were analyzed using descriptive statistics, bivariate correlations, and appropriate tests of mean differences. Results: Higher body image concerns were related to less time since diagnosis, lower post-traumatic growth and social support, greater distress, and a higher number of treatments received (rs = .09 to .42; ps < .05). Body image concerns were higher for those currently on treatment (p < .05). Conclusions: Findings suggest greater attention to YAs’ body image is necessary. Specifically, longitudinal research and the development of strategies dedicated to reducing body image concerns among YAs are needed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".