Occupational performance in multiple sclerosis and its relationship with quality of life and fatigue
Bibliographic record
Abstract
BACKGROUND: Performance and perceived satisfaction of daily occupations in people with multiple sclerosis (MS) can affect the perception of their quality of life and be impacted by the level of fatigue. AIM: To describe the performance and occupational self-perception, as well as to analyze whether there is a relationship between the perception of occupational performance and the quality of life and perceived fatigue. DESIGN: A descriptive cross-sectional study. SETTING: Participants were referred by the services of Neurology of the various hospitals in Madrid. The assessment process was performed either at the MS' associations, in the participants' home, or at the Laboratory of Cognitive Intervention of the Health Sciences Faculty of the University. POPULATION: A total sample of 30 people with MS (pwMS) selected by non-probabilistic consecutive sampling during a three-months uptake patient recruitment period. METHODS: The outcome measures used were the Canadian Occupational Performance Measure (COPM), the Modified Fatigue Impact Scale (MFIS) and the Multiple Sclerosis Quality of Life 54 (MSQoL-54). Descriptive analysis, parametric and non-parametric tests and multiple linear regression models were used. RESULTS: A statistically significant positive correlation was found between occupational performance and physical and mental health. Also, high physical health scores were associated with high satisfaction scores. Multiple regression models indicated that high levels of satisfaction were associated with high levels of physical health (P= 0.013). CONCLUSIONS: The better the perception of the physical aspects that influence the quality of life, the better the perceived satisfaction of pwMS. Fatigue may not influence self-perceived satisfaction and performance. CLINICAL REHABILITATION IMPACT: The physical factors affecting perceived satisfaction should be considered when planning interventions to promote quality of life in pwMS. Although fatigue associated with MS may influence perceived performance and satisfaction, no relevant associations were found between variables.
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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 | 0.007 |
| 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 | 0.000 |
| 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".