Fibromyalgia and Diet-Related Diseases: Does Health Professional Advice Make Sense?
Bibliographic record
Abstract
Many people in the world suffer from fibromyalgia (FM), a rheumatic disease of unknown ethiopathophysiology and without an effective treatment. Patients do not have a good quality of life and cannot maintain normal daily activity. FM commonly occurs with other diseases, some of them, like irritable bowel syndrome, obesity, or some food allergies or intolerances, are related or affected by diet. Non-scientific information addressed to patients regarding the benefits of nutrition is widely available, and they are used to trying non-evidenced strategies. The aim of this paper is to make a first reflection on the relevance of diet related diseases in FM patients, to reinforce investigation in this field and highlight the importance of health professional advice regarding diets and use of food supplements. An internet based survey was prepared and offered to answer in a specific FM website. Patients were asked about hypertension, hypercholesterolemia, hypertriglyceridemia, irritable bowel syndrome, food allergies and intolerances, and overweight or obesity. Ninety seven persons answered to the survey, two men and ninety five women. Irritable bowel syndrome and excess weight (overweight and obesity) were the most reported diet-related diseases. In the third position were food allergies or intolerances, and in the fourth hypertension. Diet-related diseases are frequent in FM patients, who even sometimes suffer more than two. Therefore, more investigation and dietary advice seems to be necessary to these patients to improve their diets, taking into account FM but also other pathologies, to keep an optimum nutritional status and maintain a normal weight.
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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 | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".