Better marital adjustment is associated with lower disease activity in early inflammatory arthritis
Bibliographic record
Abstract
The aim of this study was to examine the association between marital adjustment and disease outcomes in patients with early inflammatory arthritis. Materials and methods: Patients with average disease duration of 7.66 ± 3.79 months were recruited from a larger early inflammatory arthritis registry, which recorded sociodemographic data and disease characteristics. The acute phase reactant C-reactive protein (CRP) levels were measured and disease activity was estimated using the Disease Activity Score in 28 joints (DAS28). Patient and spouse perceived marital adjustment was assessed by the Dyadic Adjustment Scale (DAS). Results: The study sample consisted of 73 patients living with their spouses. The mean age of the study participants was 54.30 ± 12.09 years and 64.4% were female. Patient-perceived marital adjustment (DAS-Patient) was negatively correlated to CRP (P = 0.007) and DAS28 (P = 0.002). On multivariate analysis, DAS-Patient contributed to the dependent variable DAS28 after controlling for CRP. Conclusion: The current study indicates that better marital adjustment is associated with lower disease activity. The possible reciprocal relationship between marital adjustment and illness highlights the relevance for clinicians to include both patients and their spouses in interventions.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".