Describing and Exploring Coping Strategies among Those Diagnosed with Cancer as an Adolescent or Young Adult: A YACPRIME Study
Bibliographic record
Abstract
A greater understanding of how young people cope with a cancer diagnosis is needed in order to inform age-appropriate supportive care. This paper describes the coping strategies used and explores relationships between coping strategies and personal, medical, and psychological variables among young adults (YAs) diagnosed with cancer. YAs (n = 547, mean age = 34.05 ± 6.00 years) completed an online survey, including the Brief COPE and measures of psychological functioning. Descriptive statistics and bivariate correlations were computed. Acceptance, self-distraction, positive reframing, and planning were the most used coping strategies by this sample. There were small (r = −0.09) to large (r = 0.51) significant relationships between personal, medical, and psychological variables and selected coping strategies. Coping with a cancer diagnosis early in life remains poorly understood. Identifying additional correlates and exploring inter- and intrapersonal variation in coping strategy use is required.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".