Spiritual/religious struggle in hematopoietic cell transplant survivors.
Bibliographic record
Abstract
9573 Background: Spiritual/religious (SR) struggle (e.g., feeling abandoned or punished by God) has been associated with poorer coping and quality of life (QOL), greater depression and pain, and health declines in general cancer populations. Few studies have been conducted among survivors of hematopoietic cell transplantation (HCT). This study examined the prevalence and predictors of SR struggle in HCT survivors. Methods: Data were collected as part of an annual questionnaire of adult (age >18 years) survivors of HCT at Fred Hutchinson Cancer Research Center in Seattle, WA. The 2011 survey included a SR module that incorporated the following items: Negative Religious Coping subscale of Brief RCOPE, subscales from the McGill QOL Questionnaire and the SF-36, Patient Health Questionnaire-8, disease information and socio-demographics. SR struggle was defined as any non-zero response on the Negative Religious Coping subscale of the Brief RCOPE. A multi-variable logistic regression model was used to determine factors associated with SR struggle. Results: Of 2113 returned surveys (52% response rate), 83% returned the SR module (n=1745) and of those 1586 were included in this analysis. Subjects were 49% female; 67% Christian and 20% Agnostic/Atheist/No preference; and 91% white. Mean age was 55 years; survivors ranged from 6 months to 40 years post-transplant. Primary indications for transplant were leukemia (49%), lymphoma (20%), and multiple myeloma (15%). Twenty-eight percent indicated SR struggle. In a multi-variable model, SR struggle showed statistically significant associations with age >=65 years (odds ratio [OR] .57, p=.02); patient report of being religious only (OR 3.5, p<.001) or spiritual only (OR 1.8, p<.001) compared to being both religious and spiritual; depression (OR 1.1, p<.001); and better social support (OR 0.77, p<.001). Time since HCT, religious affiliation and race/ethnicity did not show statistically significant associations with SR struggle. Conclusions: SR struggle is common among HCT survivors, even years after HCT.Further study is needed to determine causal relations, longitudinal trajectory, impact of struggle intensity, and effects of SR struggle on health, mood and social roles for HCT survivors.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".