Factors Related to Body Mass Index in Women with Rheumatoid Arthritis – TOMORROW study
Bibliographic record
Abstract
Objectives: This study aimed to clarify the relationship between body mass index (BMI) and patient characteristics, lifestyle factors, and cardiovascular disease (CVD)-related clinical data in women with rheumatoid arthritis (RA). Methods: A total of 171 female outpatients with RA and 170 age-matched females without RA (controls) from the TOMORROW study (UMIN: 000003876) were included in this cross-sectional study. We divided subjects into 3 groups based on BMI: underweight (BMI < 18.5 kg/m2), normal weight (BMI ≥ 18.5 kg/m2 and < 25 kg/m2), and overweight (BMI ≥25 kg/m2), and compared RA disease activity, activities of daily living (ADL) assessed by modified health assessment questionnaire (mHAQ) score, energy and nutrient intake, and CVD risk-related clinical data. Results: In patients with RA, mHAQ scores were lower in the normal weight group compared with the underweight and overweight groups (p < 0.05). Disease activity showed a similar trend. Energy, protein, and carbohydrate intake showed a positive correlation with BMI (p < 0.05). Blood pressure, C-reactive protein, uric acid, triglyceride, fasting plasma glucose, immune reactive insulin, HbA1c, and leptin showed a positive correlation with BMI, and adiponectin showed a negative correlation with BMI (p < 0.05). Control subjects showed similar trends. Conclusions: BMI is related to ADL, disease activity, energy, protein and carbohydrate intake, and CVD risk-related clinical data, and might be an indicator of total health status in female patients with RA.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".