Interpersonal Process of Dyadic Coping in Rheumatoid Arthritis: A Perspective From the Australian Rheumatology Association Database
Bibliographic record
Abstract
OBJECTIVE: Dyadic coping, the process of coping that transpires between couples challenged by one partner's illness, is an important predictor of disease adjustment and patient well-being. However, the extent of dyadic coping in rheumatoid arthritis (RA) remains unclear. This study examines the effect of dyadic coping on psychological distress and relationship quality from the perspectives of both participants with RA and their spouses. METHODS: Participants and their spouses were invited to participate in an online survey study if they were aged ≥ 18 years and had lived together for more than a year. The survey included the Chronic Pain Grade Scale, Dyadic Coping Inventory, Depression Anxiety Stress Scale, and Dyadic Adjustment Scale. Participants and spouses completed the survey independently. The actor-partner interdependence model was used to analyze the dyadic data. RESULTS: One hundred sixty-three couples participated. Our findings showed that participants who reported higher supportive dyadic coping reported lower depression, anxiety, and stress, and higher relationship quality, whereas participants who reported higher negative dyadic coping reported higher depression, anxiety, and stress, and lower relationship quality. Spouses who reported higher supportive dyadic coping reported higher relationship quality, but no effect on depression, anxiety, and stress was observed. In contrast, spouses who reported higher negative dyadic coping reported higher levels of depression, anxiety, and stress, and lower relationship quality. CONCLUSION: Participants' and spouses' perceptions of supportive and negative dyadic coping closely influenced their psychological distress and relationship quality. Further, having a partner with RA also seemed to affect the spouse, especially when there was a negative dyadic coping pattern.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".