Depressive Symptoms and Rheumatoid Arthritis: Spouse Empathic Responding as a Buffer
Bibliographic record
Abstract
OBJECTIVE: To examine the effects of depressive symptoms and spouse empathic responding on patient disability and marital quality over time and to identify factors that contribute to patients perceiving their spouses as responding empathically to their rheumatoid arthritis (RA). METHODS: Patients diagnosed with RA and their spouses (n = 133 couples) independently completed mailed questionnaires at baseline and 1 year later. Patients completed measures of functional impairment, marital quality, depressive symptoms, and perceived empathic responding from their spouse. Spouses reported their own depressive symptoms and empathic responding behavior. RESULTS: Perceived empathic responding was found to interact with spouse depressive symptoms, contributing significantly to the prediction of patient functional impairment at followup. Only when spouse empathic responding was low was spouse depression associated with greater patient functional impairment 1 year later. Similarly, in the model predicting patient marital quality at followup, there were significant 2-way interactions between perceived empathic responding and both spouse depressive symptoms and patient depressive symptoms. Only when spouse empathic responding was low did patient or spouse depression significantly predict poorer marital quality at followup. Patient perceptions of spouse empathic responding were found to depend on spouse reports of their own empathic responding, patient marital satisfaction, and the interaction of patient depressive symptoms and marital satisfaction. CONCLUSION: Empathic responding from the spouse was found to buffer against the negative effects of spouse depression on functional and marital outcomes for patients with RA. In developing couple-oriented RA treatments, increasing perceived empathic responding could serve as a useful target for intervention.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".