Changes in nutrient intake and inflammation following an anti-inflammatory diet in spinal cord injury
Bibliographic record
Abstract
Objective: The objective of the current study was to describe the observed changes in nutrient intakes following a 3-month anti-inflammatory diet, and to explore potential relationships between the change in nutrients and the change in various inflammatory mediators.Design: A secondary analysis of a prior randomized controlled clinical trial.Setting: Individuals with SCI within the Niagara region.Participants: Twenty individuals with various levels and severities of SCI.Intervention: Three-month anti-inflammatory diet.Outcome Measures: The change in nutrient intake and corresponding changes to various inflammatory mediators.Results: The treatment group demonstrated a significant reduction in fat intake (P = 0.02), a significant increase in protein intake (P = 0.02), and no change in carbohydrates (P = 0.23) or energy intake (P = 0.10). The treatment group showed a significant increase in some nutrients with established anti-inflammatory properties including vitamins A, C, and E, and omega-3 fatty acids (P < 0.01). Significant reductions in proinflammatory nutrients were observed including trans fatty acids (P = 0.05), caffeine (P < 0.01), and sodium (P = 0.02). The treatment group also showed significant reductions in the proinflammatory mediators interferon-y (P = 0.01), interleukin-1β (P < 0.01), and interleukin-6 (P < 0.05). Further, several proinflammatory mediators were negatively correlated with anti-inflammatory nutrients, including vitamin A, carotenoids, omega-3 fatty acids, and zinc.Conclusion: This study provides evidence that dietary alterations are effective at reducing chronic inflammation in individuals with SCI and provides a preliminary assessment of the related nutrient changes.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".