Disability in a Community Population with MS with and without Mental Disorders
Bibliographic record
Abstract
OBJECTIVE: Psychiatric conditions are known to have a detrimental impact on functioning and may therefore influence patterns of disability associated with MS. Population-based studies are needed to evaluate such interactions. The objective of this study was to describe the pattern of interaction of MS and mental disorders on health-related impairments. METHODS: The Participation and Activity Limitation Survey (PALS) was a post-censual survey conducted by Statistics Canada in association with the 2006 Canadian Census. PALS collected detailed data from a random sample of n = 28,640 respondents with health-related impairments reported on their census form. The PALS interview collected self-reported diagnostic data and included scales to assess functioning and participation in society. RESULTS: PALS identified 245 individuals with MS, leading to an estimated (weighted) population prevalence of 0.2% (200 per 100,000), consistent with other Canadian estimates. As expected, impaired agility, vision, communication, mobility, pain, and memory were strongly associated with MS. Mental disorders were also associated with impairment, but interactions between these conditions and MS were generally not evident. CONCLUSIONS: Mental disorders are associated with a higher level of disability in MS but, with the exception of communication, there was no evidence of synergistic interaction between mental disorders and MS in contributing to health-related impairments.
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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 | 0.002 | 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 | 0.001 |
| 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".