How Does Job Insecurity and Workplace Activity Limitations Relate to Rheumatic Disease Symptom Trajectories in Young Adulthood? A Longitudinal Study
Bibliographic record
Abstract
OBJECTIVE: Workplace and labor market conditions are associated with the health of the working population. A longitudinal study was conducted among young adults with rheumatic disease to examine workplace activity limitations and job insecurity and their relationship with disease symptom trajectories. METHODS: Three online surveys were administered to young adults with rheumatic disease over 27 months. Self-reported data on pain, fatigue, and disease activity were collected. Workplace activity limitations and job insecurity were measured. Group-based discrete mixture models determined pain, fatigue, and disease activity trajectory groups. Robust Poisson regression models were fitted to examine the relationship among workplace activity limitations, job insecurity, and trajectory group membership. RESULTS: In total, 124 participants (mean ± SD age 29 ± 4.5 years) with rheumatic disease were recruited. At baseline, participants reported considerable workplace activity limitations (10.35 ± 5.8), and 36% of participants indicated experiencing job insecurity. We identified 2 latent rheumatic disease symptom trajectory groups. The first group had high persistent pain, fatigue, or disease activity; the second group had low persistent disease symptoms over time. Greater workplace activity limitations were associated with an increased relative risk (RR) of being in the high persistent severe pain (RR 1.02 [95% confidence interval (95% CI) 1.01, 1.03]), fatigue (RR 1.02 [95% CI 1.01, 1.03]), and disease activity trajectory groups (RR 1.02 [95% CI 1.01, 1.03]). Job insecurity was associated with an increased RR of membership in the high persistent pain (RR 1.14 [95% CI 1.04, 1.25]) and disease activity trajectory groups (RR 1.11 [95% CI 1.00, 1.22]). CONCLUSION: Workplace activity limitations and job insecurity represent working conditions that are associated with the health of young adults with rheumatic disease and should be examined as potential targets for intervention.
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 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".