The relationship between fear of cancer recurrence and health behaviors: A nationwide longitudinal study of cancer survivors.
Bibliographic record
Abstract
OBJECTIVE: The goal of this study was to examine fear of cancer recurrence (FCR) and 2 health behaviors, physical activity and fruit and vegetable intake, from early to long-term survivorship in a large cohort of mixed cancer survivors. METHOD: Group-based trajectory analyses and repeated measures analysis of variance were conducted on data collected in the American Cancer Society's Studies of Cancer Survivorship-I. Two thousand three hundred thirty-seven survivors of 10 cancers completed the survey at 3 time points (M = 1.3, 2.2, and 8.8 years postdiagnosis). RESULTS: The current study found 3 FCR trajectories clustering cancer survivors by FCR severity: low (33.6%), moderate (58.1%), and high (8.3%). FCR significantly decreased over time and remained distinct for each trajectory group. Patient characteristics prevalent in the high FCR group were being female, of younger age, Hispanic ethnicity, having advanced cancer stage (II to III) and non-Hodgkin lymphoma, and low adherence to physical activity and fruit and vegetable intake recommendations. The high FCR group also reported significantly fewer of these health behaviors compared with the other groups, albeit the effect size was small. CONCLUSIONS: Across the survivorship trajectory, FCR severity decreased but remained distinct for the 3 trajectory groups. Future investigations should inquire about the specific needs of each FCR group to subsequently develop targeted interventions. A weak association between FCR and health behaviors was found, with individuals in the high FCR group reporting less health behaviors. Future research should assess the direction of this relationship over time to inform intervention targets within this subgroup. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".