Relationship between body mass index z-score and blood pressure among children with overweight and obesity involved in a lifestyle modification program
Bibliographic record
Abstract
Documenting the relationship between body mass index z-score (BMIz) and blood pressure (BP) is crucial to better position the importance of adiposity reduction in managing cardiometabolic risk in children. This study assessed the relationship between BMIz and systolic and diastolic BP (SBP, DBP) among children with overweight or obesity receiving lifestyle counseling at a pediatric obesity management clinic in Montreal (Province of Quebec, Canada). This is a retrospective, longitudinal analysis of medical records of 438 children (2–17 years). At the first clinic appointment, 181 (41.3%) children had normal BP, 85 (19.4%) had prehypertension, and 172 (39.3%) had hypertension. At baseline, each one-point increment in BMIz was associated with 28.3% (95% confidence interval (CI): 7.9, 52.6; P = 0.005) higher odds of prehypertension or hypertension. Between the first and the last appointment, each one-point decrease in BMIz was associated with a reduction of −6.24 percentiles (95% CI: −11.17, −1.32; P = 0.02) in SBP and −4.99 percentiles (95% CI: −9.31, −0.66; P = 0.03) in DBP. Children who experienced BMIz reduction of −0.25 or more were more likely to achieving SBP reductions of −3.20 mmHg or more relative to those smaller BMIz changes (OR: 2.00, 95% CI: 1.23, 3.25; P = 0.006). Baseline BMIz, but not changes in BMIz over follow-up, was negatively associated with odds of normalizing BP among the 257 children with prehypertension or hypertension at baseline (OR: 0.70, 95% CI: 0.54, 0.91; P = 0.007). This study leveraged real-world clinic data to provide further importance on adiposity reduction in pediatric cardiometabolic risk management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".