Understanding rural-living young adult cancer survivors’ motivation during a telehealth behavior change intervention within a single-arm feasibility trial
Bibliographic record
Abstract
A single-arm feasibility trial was conducted to explore rural-living young adult cancer survivors’ physical activity, fruit and vegetable consumption, and motivational processes underlying any behavior changes during a telehealth behavior change intervention grounded in self-determination theory. Participants ( n = 7; 85.7% female; Mage = 33.9, range = 28–37) met with a health coach once a week for 60 min for 12 weeks. Participants completed pre- and post-intervention surveys that assessed their behaviors, basic psychological needs satisfaction, and behavioral regulations. Participants also completed a semi-structured interview post-intervention. Quantitative results indicate behavioral outcomes, basic psychological needs satisfaction, and behavioral regulations increased from pre- to post-intervention. Five themes provide context for the observed increases. Results provide preliminary evidence that motivation for physical activity and fruit and vegetable consumption may be facilitated by a one-on-one telehealth intervention among rural-living young adult cancer survivors. Large scale studies are needed to determine effectiveness of the intervention and identify mechanisms underpinning behavioral outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".