Is There an Association Between Social Support and Pain Among Individuals Living With Multiple Sclerosis?
Bibliographic record
Abstract
CONTEXT: Pain is one of the most common symptoms reported by patients living with Multiple Sclerosis (MS). Risk factors associated with pain may include individual's cognitive thinking process, emotional and behavioural response to pain and amount of social support. There is a lack of research on the influence on the amount of social support and its association to pain outcomes. OBJECTIVE: The primary objective of this study was to determine the association between amount and of social support and its association with odds of pain among individuals with MS. METHODS: The Survey on Living with Neurological Conditions in Canada (SLNCC) 2011-2012 linked to the Canadian Community Health Survey (CCHS) 2010-2011 was used to carry out a logistic regression model for this analysis (N = 78,623). MAIN OUTCOME MEASURES: The factors that were assessed were psychological factors, problems with sleeping, self-perceived general health, self-perceived level of stress, number of years living with MS, as well as social factors. The outcome variable was pain. RESULTS: The amount of social support was found to be significant in that individuals who had 3 or fewer types of social support were 3.02 times more likely (95% CI 1.06 to 8.59) to report being in pain as opposed to individuals who had 4 types of support. The results indicate the importance of self efficacy in overcoming symptoms of MS and the need for more home care services.
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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 | 0.007 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".