Diet, Lifestyle and Chronic Widespread Pain: Results from the 1958 British Birth Cohort Study
Bibliographic record
Abstract
OBJECTIVES: To examine the relationship between diet and lifestyle, and chronic widespread pain (CWP). If persons with CWP have dietary and lifestyle habits consistent with an increased risk of cancer or cardiovascular disease, it may partially explain evidence in the literature suggesting an association between CWP and these diseases. METHODS: The 1958 British Birth Cohort Study comprises individuals born in England, Scotland and Wales in the United Kingdom during one week in March 1958. At 45 years of age, pain was recorded using a self-completion questionnaire. CWP was classified using the American College of Rheumatology definition for fibromyalgia. Data were collected on diet and lifestyle at 33 and 42 years of age. RESULTS: A total of 8572 participants provided pain data at 45 years of age, of whom 12% reported CWP. Women with CWP, compared with those without, reported an unhealthy diet (ie, fruit⁄vegetable consumption less than once per week [OR 2.0; 95% CI 1.3 to 3.1], and fatty food [OR 1.7; 95% CI 1.1 to 2.7] and chips (french fries) [OR 1.5; 95% CI 1.0 to 2.4] at least once per day) that may have predisposed them to other chronic diseases such as cancer and cardiovascular disease. Women with CWP were also more likely to be unemployed (adjusted OR 1.4; 95% CI 1.1 to 1.8), to have had high physical exertion at work (adjusted OR 1.6; 95% CI 1.2 to 2.2) and elevated body mass index (overweight - adjusted OR 1.5, 95% CI 1.2 to 1.9; obese - adjusted OR 1.8, 95% CI 1.3 to 2.5). Similar relationships between lifestyle (but not diet) and the risk of CWP were identified in men. CONCLUSIONS: The findings for smoking, body mass index and (for women) diet offer support for the hypothesis that lifestyle factors may partially explain the association between CWP and cancer or cardiovascular disease. Prospective studies are necessary to confirm this relationship.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".