Pain, Executive Functioning, and Affect in Patients With Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVES: Rheumatoid arthritis (RA) is a chronic inflammatory disease resulting in substantial pain. The physical and emotional effects of RA are well known, but little attention has been given to the potential cognitive effects of RA pain, although intact executive functioning in patients with chronic illness is crucial for the successful completion of many daily activities. We examined the relationship between pain and executive functioning in patients with RA, and also considered the influence of positive and negative affect in the relationship between pain and executive functioning. METHODS: A sample of 157 adults with RA completed measures of pain and positive and negative affect and were tested for working memory and selective attention using the Letter Number Sequencing subtest from the Wechsler Adult Intelligence Scale-Third Edition and the Stroop Color Word Test tests, respectively. RESULTS: Consistent with prior research, pain was inversely related to executive functioning, with higher pain levels associated with poorer performance on executive functioning tasks. This relationship was not moderated or mediated by negative affect; however, positive affect moderated the relationship between pain and executive functioning. For patients high in positive affect there was a significant inverse relationship between pain and executive functioning, whereas there was no such relationship for patients low in positive affect. DISCUSSION: These findings are discussed in the context of cognitive research on the effects of positive affect on executive functioning and functional neuroanatomical research suggesting neurocognitive mechanisms for such moderation.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".