Health-related unemployment trends among survivors of childhood cancer: A report from the Childhood Cancer Survivor Study (CCSS).
Bibliographic record
Abstract
10048 Background: The impact of treatment era and chronic health conditions on health-related unemployment among childhood cancer survivors has not been studied. Methods: Childhood cancer survivors (age ≥25 years) enrolled in the CCSS (3,420 diagnosed in the 1970s, 3,564 in the 1980s, and 2,853 in the 1990s) were matched 1:5 on sex, race/ethnicity, census bureau division, age, and year of survey to the Behavioral Risk Factor Surveillance System (BRFSS), a nationally representative population. Among survivors, health-related unemployment was defined as self-reported unemployment due to illness/disability and for BRFSS participants as self-reported inability to work. To standardize follow-up, health-related unemployment was assessed either in 2002-05 or 2014-16 for both cohorts. Sex stratified standardized prevalence ratio (SPR) and relative SPR (rSPR) with 95% confidence intervals (CI) for health-related unemployment were estimated using multivariable generalized linear models, with BRFSS background rates to assess the impact of treatment era and moderate to severe health conditions (per the Common Terminology Criteria for Adverse Events). Results: Prevalence of health-related unemployment in survivors (median age 9 years [range 0-20] at diagnosis and 33 years [25-54] at follow-up) was significantly higher compared to BRFSS participants (females: 11.3% vs 3.7%; SPR 3.0, 95% CI 2.7-3.3; males: 10.5% vs 3.0%; SPR 3.5, 95% CI 3.1-3.9). Health-related unemployment risks declined among survivors in more recent decades (ptrend< 0.001) for females: 1970s SPR 3.8, 95% CI 3.2-4.5, 1980s SPR 2.9, 95% CI 2.5-3.5, 1990s SPR 2.5, 95% CI 2.1-3.0; and males: 1970s SPR 3.6, 95% CI 2.9-4.4, 1980s SPR 3.8, 95% CI 3.1-4.7, 1990s SPR 3.0, 95% CI 2.5-3.7. Among survivors, multivariable models identified associations between presence of specific health conditions and elevated health-related unemployment (Table) adjusting for all statistically significant health conditions, race/ethnicity, treatment era, age at survey, and diagnosis. Among females, rSPR for endocrine conditions differed between 1970s and 1990s (interaction p = 0.04); fewer significant health conditions remained in the final model for males. Conclusions: While prevalence for health-related unemployment has declined over time, childhood cancer survivors remain at higher risk compared to the general population. These elevated risks are associated with chronic health conditions and affect female survivors more than male survivors.[Table: see text]
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".