Sensory processing, cognitive fatigue, and quality of life in multiple sclerosis
Bibliographic record
Abstract
BACKGROUND: Quality of life for persons living with multiple sclerosis (MS) is significantly lower than population norms. Fatigue, both physical and cognitive, is one of the most prevalent and debilitating symptoms of MS that decrease quality of life. Cognitive fatigue presents similarly to sensory overresponsiveness, but the connection has not been explored. PURPOSE: This study aims to describe how sensory-processing preferences and cognitive fatigue relate to variances in quality of life for people with MS. METHOD: A cross-sectional design was used with 30 people living with MS to complete the Adolescent/Adult Sensory Profile (AASP), Modified Fatigue Impact Scale, and RAND-36. Spearman's coefficient measured nonparametric correlations between variables. FINDINGS: People with MS who have high scores in low registration, sensory sensitivity, and sensation avoidant quadrants of the AASP also have higher levels of cognitive fatigue and poorer quality of life. Those with high scores in sensory seeking experience greater quality of life and less cognitive fatigue. IMPLICATIONS: The findings shape clinical practice by supporting the assessment of sensory processing alongside fatigue, offering individualized intervention planning to shape fatigue management, and fostering hope and quality of life for persons living with MS.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".