Psychological symptoms and perceived cognitive impairment in multiple sclerosis: The role of rumination.
Bibliographic record
Abstract
PURPOSE/OBJECTIVE: Perceived cognitive impairment is a common concern among individuals with multiple sclerosis (MS) and is associated with prevalent psychological symptoms, namely depression and anxiety. The mechanisms by which these psychological symptoms are associated with perceived cognitive impairment among people diagnosed with MS have been unexplored. A possible mechanism is rumination, a maladaptive form of self-reflection that is commonly associated with anxiety and depression. The purpose of this study was to examine the associations of symptoms of anxiety and depression with perceived cognitive impairment, and to examine whether anxiety and depression indirectly affect cognitive impairment through rumination. Research Method/Design: The study utilized a cross-sectional observational design. People diagnosed with MS (N = 111) were recruited from an MS clinic in Toronto, and through the community. Participants completed self-report questionnaires that included the Multiple Sclerosis Neuropsychological Screening Questionnaire (MSNQ), the Hospital Anxiety and Depression Scale (HADS), and the Rumination-Reflection Questionnaire (RRQ). Two indirect effect statistical analyses were conducted using bootstrapping techniques. RESULTS: We found a positive association between both symptoms of depression and anxiety and perceived cognitive impairment. Moreover, psychological symptoms were related to perceived cognitive impairment indirectly through rumination, indicating ruminative thinking style may be implicated in the relationship between anxiety, depression, and perceived cognitive impairment. CONCLUSIONS/IMPLICATIONS: These findings provide additional support for previous research examining the relationship between psychological symptoms (e.g., anxiety and depression) and perceived cognitive impairment, and enrich our understanding of a potential mechanism driving these relationships. (PsycINFO Database Record
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".