Fatigue and Mood States in Nursing Home and Nonambulatory Home-Based Patients with Multiple Sclerosis
Bibliographic record
Abstract
Background: Multiple sclerosis (MS) is a chronic, progressively disabling condition of the central nervous system. We sought to evaluate and compare mood states in patients with MS with increased disability residing in nursing homes and those receiving home-based care. Methods: We conducted a cross-sectional analysis of the New York State Multiple Sclerosis Consortium to identify patients with MS using a Kurtzke Expanded Disability Status Scale (EDSS) score of 7.0 or greater. The nursing home group was compared with home-based care patients regarding self-reported levels of loneliness, pessimism, tension, panic, irritation, morbid thoughts, feelings of guilt, and fatigue using independent-samples t tests and χ2 tests. Multivariate logistic regression analyses were used to investigate risk-adjusted differences in mood states. Results: Ninety-four of 924 patients with EDSS scores of at least 7.0 lived in a nursing home (10.2%). Nursing home patients were less likely to use disease-modifying therapy and had higher mean EDSS scores compared with home-based patients. However, nursing home patients were less likely than home-based patients to report fatigue (odds ratio [OR] for no fatigue, 3.8; 95% CI, 2.1–7.2), feeling tense (OR for no tension, 1.7; 95% CI, 1.1–2.7), and having feelings of pessimism (OR for no pessimism, 1.8; 95% CI, 1.2–2.8). Conclusions: The nursing home patients with MS were less likely to report fatigue, pessimism, and tension than those receiving home-based care. Further studies should examine ways of facilitating a greater degree of autonomy and decision-making control in MS patients receiving home-based care.
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 | 0.000 | 0.000 |
| 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".