Fear of cancer recurrence among cancer survivors in Singapore
Bibliographic record
Abstract
INTRODUCTION: Fear of cancer recurrence (FCR) among cancer survivors is a persistent and distressing psychosocial concern that affects recovery and quality of life. The prevalence of FCR in Singapore is unknown. This cross-sectional study was designed to examine FCR and identify factors associated with FCR in mixed-cancer survivors locally. METHODS: Cancer survivors in remission (n = 404) were assessed for: FCR using the Fear of Cancer Recurrence Inventory (FCRI); emotional distress using the Hospital Anxiety and Depression Scale; and quality of life using the World Health Organization Quality of Life-BREF. Clinical and severe/pathological FCR was determined based on the severity scale of FCRI, known as FCRI-Short Form. Multivariate logistic regression was performed to examine factors associated with FCR. RESULTS: The mean score on the FCRI was 59.5 ± 30.4. 43.6% of cancer survivors had clinical FCR and 32.1% had severe/pathological FCR. Younger age (odds ratio [OR] 0.952, 95% confidence interval [CI] 0.911-0.995, p < 0.05), higher educational status (OR 2.55, 95% CI 1.15-5.65, p < 0.05) and higher levels of emotional distress (OR 1.17, 95% CI 1.10-1.24, p < 0.001) were significantly associated with severe/pathological levels of FCR. CONCLUSION: The present study is the first to determine levels of FCR among cancer survivors in Singapore. While the total FCR scores were similar to those of international studies, severe/pathological levels of FCR were found to be four times higher. These findings highlight a problem that is not widely recognised or acknowledged, but which deserves greater attention.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".