Abstract 41: The Effect Of Maternal Weight On Offspring Blood Pressure At 18 Years Of Age: A Causal Natural-effects Mediation Analysis
Bibliographic record
Abstract
Objectives: Examine the relationship between maternal pre-pregnancy body mass index (BMI) and offspring systolic blood pressure (SBP) at 18 yrs old. Methods: We performed multivariate regression and causal mediation analysis within 3700 mother - offspring pairs from a prospective birth cohort. The main exposure was maternal pre-pregnancy BMI categorized as healthy weight, overweight, or obese according to international criteria. The main outcomes were high-normal BP and hypertension defined as SBP between the 90-95 th centile and >95 th centile for height and sex at 18 years, respectively, as per 2017 AAP guidelines. Analyses were adjusted for social class, pre-eclampsia, sex, and maternal tobacco use during pregnancy. The Canadian Pediatric Endocrine Group R Shiny app was used to obtain age-standardized BMI Z-scores and latent class analysis (LCA) was used to quantify the mediating factor of offspring BMIZ trajectories from 7 to 18 yrs. Results: Before pregnancy 14% of women were overweight and 5% were obese. At 18 yrs, SBP (122 ± 12 vs 118 ±11mmHg, p < 0.001), DBP (67 ± 7 vs 63 ± 6mmHg, p < 0.001) and the odds of elevated BP (aOR: 1.6; 95% CI: 1.1-2.3) and hypertension (aOR: 2.1; 95% CI: 1.4-3.1) were higher in offspring from women that were obese prior to pregnancy compared to those that were normal weight. LCA identified five distinct offspring BMIZ trajectories shown in the figure. SBP (125 ± 12 vs 117 ± 10 mmHg, p < 0.001) and the odds of hypertension (aOR: 3.8; 95% CI: 2.8-5.1) at 18 years were significantly higher in offspring with sustained high BMIZ (teal) compared to sustained low normal BMIZ (green). Casual mediation analysis revealed that maternal BMI directly (OR: 1.14; 95% CI: 1.03-1.25) and indirectly through offspring BMIZ trajectories (OR: 1.12; 95% CI: 1.08-1.15) increased offspring SBP at 18 years of age. Conclusion: Maternal obesity prior to pregnancy is associated with an increased risk of hypertension in offspring at 18 yrs of age, partly mediated by an elevated BMIZ score trajectory throughout childhood and adolescence.
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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 | 0.011 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.008 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.001 |
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".