Body Mass Index and Waist Circumferences Related to Uric Acid Level among Adults
Bibliographic record
Abstract
Background: the changes in metabolism in the body can trigger the increase of uric acid levels which can lead to a precursor of hyperuricemia and gout disease that can result extreme pain in the joint. Based on the study, it has known that uric acid levels can be caused by obesity, protein intake, lifestyle, and others. The anthropometric method which usually used to measured obesity are body mass index (BMI) and waist circumference (WC). Currently, the most commonly used ratio in this way is the Body Mass Index (BMI). Result: in a Canadian study among 151 adults, it was reported that there was a higher correlation between the area of abdominal visceral fat and WC compared with the correlation with the waist-hip circumference ratio. WC is also more strongly associated with total body fat, measured by densitometry, than by waist-to-hip circumference ratio. High levels of leptin in obese people can cause uric acid disruption through urine, so that uric acid levels in the blood of obese people become high. BMI also shows a positive relationship with leptin concentration, which is a trigger factor to increased uric acid levels. American adults also shown that uricemia related to their BMI value. Conclusion: BMI is one of the indicators of obesity, while obesity often thought to influence the incidence of gout by increasing uric acid levels in the blood. WC also closely related potentially to atherogenic metabolic disorders associated with abdominal obesity that to waist-to-hip circumference ratios.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".