Evaluating Questionnaires Used to Assess Self-Reported Physical Activity and Psychosocial Outcomes Among Survivors of Adolescent and Young Adult Cancer: A Cognitive Interview Study
Bibliographic record
Abstract
Physical activity is increasingly being studied as a way to improve psychosocial outcomes (e.g., quality of life, self-efficacy, physical self-perceptions, self-esteem, body image, posttraumatic growth) among survivors of adolescent and young adult (AYA) cancer. Assessing levels of and associations between self-reported physical activity and psychosocial outcomes requires clear, appropriate, and relevant questionnaires. To explore how survivors of AYA cancer interpreted and responded to the following eight published questionnaires: Leisure Time Exercise Questionnaire, Exercise Self-Efficacy Scale, Physical Self-Description Questionnaire, Rosenberg Global Self-Esteem Scale, Multidimensional Body-Self Relations Questionnaire, Posttraumatic Growth Inventory, Functional Assessment of Cancer Therapy-General (FACT-G), RAND 36-Item Health Survey 1.0 (RAND-36), cognitive interviews were conducted with three men and four women age 18-36 years who were diagnosed with cancer at age 16-35 years. Initially, the first seven questionnaires listed above were assessed. Summaries of the interviews were prepared and compared across participants. Potential concerns were identified with the FACT-G; thus, a second interview was conducted with participants to explore the clarity, appropriateness, and relevance of the RAND-36. Concerns identified for the FACT-G related mostly to the lack of relevance of items pertaining to cancer-specific aspects of quality of life given that participants were posttreatment. No or few concerns related to comprehension and/or structure/logic were identified for the other questionnaires. In general, the questionnaires assessed were clear, appropriate, and relevant. Participants' feedback suggested they could be used to assess self-reported physical activity and varied psychosocial outcomes in studies with survivors of AYA cancer, either with or without slight modifications.
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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 | 0.013 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".