Assessing Diet and Musculoskeletal Pain in Adults: Results From a Cross-Sectional Analysis of the National Health and Nutrition Examination Survey (NHANES)
Bibliographic record
Abstract
Musculoskeletal (MSK) pain is highly prevalent worldwide and is associated with high levels of disability. Systemic inflammation may contribute to MSK pain, and diet is a crucial modulator of systemic inflammation. The Dietary Inflammatory Index (DII ® ) assesses the tendency of diets to cause inflammation. Higher DII scores, indicating pro-inflammatory diets, were hypothesized to be associated with a higher prevalence of MSK pain symptoms and duration. Data from 4118 subjects from the 2003-2004 NHANES survey were included to assess the association between DII scores and the presence and duration of osteoarthritis symptoms and neck and low back pain. After adjusting for potential confounders, the multivariable analysis showed that DII scores were significantly associated ( P < .05) with increased risk of osteoarthritis symptoms (joint pain, aching, and stiffness) in the past year (OR = 1.099; 95% CI 1.029,1.174), low back pain (OR = 1.070; 95% CI 1.003,1.142), and any pain lasting longer than 24 hours (OR = 1.128; 95% CI 1.046,1.216). Neck pain and pain duration were not significantly associated with DII scores. These findings suggest a significant association between a pro-inflammatory diet and the presence of different MSK pains (joint pain and low back pain) and with pain lasting longer than 24 hours.
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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 | 0.008 | 0.005 |
| 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 | 0.001 |
| 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".