DIFFERENCES IN LEAN TISSUE MASS AND STRENGTH BETWEEN PATIENTS WITH CROHN??S DISEASE AND HEALTHY CONTROLS
Bibliographic record
Abstract
Crohn's Disease is an inflammatory bowel disease that may have an effect on lean tissue mass and strength due to reduced nutrition or corticosteroid useage. There is controversy as to whether patients in remission from Crohn's Disease have reduced lean tissue mass and strength. PURPOSE To compare lean tissue mass and strength in subjects with Crohn's Disease to healthy controls adjusting for age, sex, and height. METHODS Subjects in remission from Crohn's Disease (n=25;age=44y) were recruited from an ongoing study. Lean tissue and fat mass were assessed using dual energy X-ray absorptiometry and compared to healthy controls from a pre-existing database (n=174; age=44y). Bench press and leg press one-repetition maximum strength was measured in a subset of these Crohn's Disease subjects (n=14) and compared to the controls (n=135,bench press; n=136,leg press). All comparisons were made using ANCOVA, adjusting for age, sex, and height. RESULTS Crohn's Disease subjects had lower lean tissue mass (39.7 vs. 45.1 kg) and higher fat mass (34.9 vs. 23.9 kg) compared to controls (p < 0.05). Leg press (106 vs. 139 kg) and bench press (61.5 vs. 65.5 kg) strength were also lower in Crohn's Disease subjects compared to controls (p < 0.05). CONCLUSION Subjects with Crohn's Disease have lower lean tissue mass and strength and higher fat mass when compared to healthy controls. The results may be useful in determining appropriate exercise training programs in order to reverse the effects of the disease. Supported by the University of Saskatchewan President's NSERC fund.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".