Cultural syndromes and age moderate the emotional impact of illness intrusiveness in rheumatoid arthritis.
Bibliographic record
Abstract
OBJECTIVE: The authors investigated cultural syndromes (multidimensional vectors comprising culturally based attitudes, values, and beliefs) and age as moderators of the emotional impact of illness intrusiveness--illness-induced lifestyle disruptions--in rheumatoid arthritis (RA) and examined illness intrusiveness effects in total and separately for three life domains (relationships and personal development, intimacy, and instrumental). RESEARCH METHOD/DESIGN: People with RA (n = 105) completed the Illness Intrusiveness Ratings, Individualism-Collectivism, and Center for Epidemiologic Studies--Depression scales in a one-on-one interview. RESULTS: Controlling for disease and background characteristics, the association between illness intrusiveness (total score and the Relationships and Personal Development subscale) and distress was inverse when young adults with RA endorsed high horizontal individualism. Illness intrusiveness into intimacy was associated with increased distress, and this intensified when respondents endorsed high vertical individualism, horizontal collectivism, vertical collectivism, or low horizontal individualism. The negative emotional impact of illness intrusiveness into intimacy diminished with increasing age. CONCLUSION: Given an aging and increasingly pluralistic society, diversity can no longer be ignored in addressing the psychosocial impact of chronic, disabling disease.
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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) | 0.000 | 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 | 0.001 |
| 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".