Spiritual or religious struggle in hematopoietic cell transplant survivors
Bibliographic record
Abstract
BACKGROUND: This study describes the prevalence of religious or spiritual (R/S) struggle in long-term survivors after hematopoietic cell transplantation (HCT), demographic and medical correlates of R/S struggle, and its associations with depression and quality of life. METHODS: Data were collected in conjunction with an annual survey of adult (age ≥18 years) survivors of HCT. Study measures included R/S struggle (negative religious coping, NRC, from Brief RCOPE), measures of quality of life (subscales from 36-item Short Form Health Survey and McGill), and the Patient Health Questionnaire 8. R/S struggle was defined as any non-zero response on the NRC. Factors associated with R/S struggle were identified using multi-variable logistic regression models. RESULTS: The study analyzed data from 1449 respondents who ranged from 6 months to 40 years after HCT. Twenty-seven percent had some R/S struggle. In a multi-variable logistic regression model, R/S struggle was associated with greater depression and poorer quality of life. R/S struggle was also associated with younger age, non-White race, and self-identification as either religious but not spiritual or spiritual but not religious. R/S struggle was not associated with any medical variables, including time since transplant. CONCLUSIONS: Religious or spiritual struggle is common among HCT survivors, even many years after HCT. Survivors should be screened and, as indicated, referred to a professional with expertise in R/S struggle. Further study is needed to determine causal relationships, longitudinal trajectory, impact of struggle intensity, and effects of R/S struggle on health, mood, and social roles for HCT survivors. Copyright © 2015 John Wiley & Sons, Ltd.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".