Within-person fluctuations over three years in depression, anxiety, fatigue, and health-related quality of life in multiple sclerosis
Bibliographic record
Abstract
BACKGROUND: Longitudinal studies of health-related quality of life (HRQoL) in multiple sclerosis (MS) are limited. Most have examined average changes within the population, rather than dynamic changes within individuals. OBJECTIVE: To assess the between- and within-individual association between depression, anxiety, fatigue, cognition, physical functioning, and physical comorbidities and HRQoL. METHODS: = 4 visits). We evaluated associations of elevated symptoms of anxiety (HADS-A) and depression (HADS-D), fatigue, physical function (timed-walk and nine-hole peg test), cognitive function and comorbidity count with physical (PCS-36) and mental (MCS-36) HRQoL using multivariable linear models-estimating between-person and within-person effects. RESULTS: Of 255 participants with MS enrolled, 81.6% were women. After adjustment, within-person increases in depression and fatigue were associated with decreases in physical HRQoL. Increases in depression, anxiety, and comorbidity count were associated with decreases in mental HRQoL. CONCLUSIONS: Within-person increases in symptoms of depression, anxiety and fatigue, and comorbidity count are associated with HRQoL decreases among adults with MS, highlighting the potential magnitude of individual benefit of intervention for these symptoms.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".