A189 IMPACT OF PHYSICAL ACTIVITY AND MEDICATIONS ON BODY COMPOSITION DYNAMICS IN PEDIATRIC IBD PATIENTS: A PROSPECTIVE STUDY
Bibliographic record
Abstract
Abstract Background Although inflammatory bowel disease (IBD) severity is associated with decreased body mass index (BMI) in pediatric patients, many of them gain weight during follow-up. Physical activity levels (PAL) are associated with lower BMI dynamics while overweight/obesity worsen health outcomes in children. Few studies have explored BMI evolution and its related factors in this population. Aims To investigate BMI dynamics in children with IBD from diagnosis to last follow-up and assess the impact of PAL, disease phenotype/activity, and medication on BMI changes. Methods Pediatric IBD patients prospectively completed the Canadian Health Measure Survey quarterly for one year to assess PAL and were classified into three groups based on PAL (sedentary, moderately active or extremely/vigorously active). Clinical disease activity was classified using physician global assessment, PUCAI and sPCDAI. BMI was assessed at each visit. Results A total of 256 patients (56% male, median age 14y [IQR (interquartile range): 13-16]) were included. At diagnosis, 56% were normal weight, 38% underweight, 5% overweight, and 2% obese. By the first visit, 74% were normal weight, 4% underweight, 17% overweight, and 5% obese. The median time from diagnosis to the first study visit was 29 months [IQR: 7-44] during which patients gained a mean of 2.97 (95% CI: 2.64;3.31) BMI points. The following factors were associated with BMI gain: disease duration (Pearson Coefficient Correlation [95% CI]:0.42 [0.31;0.51]), age at diagnosis (-0.13 [-0.25; -0.01]), BMI at diagnosis (-0.23 [-0.34; -0.11]), BMI z-scores at diagnosis (-0.32 [-0.42; -0.20]) and higher age at inclusion (0.20 [0.08;0.31]). In a multivariate logistic regression, we found that being underweight compared to normal weight (adjusted odds ratio (aOR) =0.15 [0.06; 0.39]) and exposition to anti-TNFα (aOR = (3.89 [1.17; 12.97]) were independently associated to the risk for overweight/obesity during follow-up. Conclusions We observed a 15% increase in overweight/obesity prevalence and a 34% decrease in underweight prevalence in patients over the studied interval. BMI gain was significantly linked to exposure to anti-TNFa, warranting further investigations. Table 1. Mean BMI Differences Between Diagnosis and First Study Visit Funding Agencies None
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".