Abstract P075: Stroke Volume and Visceral Fat Drive Differences in Blood Pressure Between Two Generations: A Population-Based Study of Adolescents and Their Parents
Bibliographic record
Abstract
Excess total body fat (TBF) and visceral fat (VF) are major risk factors of hypertension. Blood pressure (BP) increases with age, as do TBF and VF. Here we investigated whether TBF and VF contribute to BP differences between adolescents and adults. A population-based sample of adolescents (n=933, 12-18 years) and their parents (n=429, 38-65 years) was studied as part of the Saguenay Youth Study. In all participants, beat-by-beat values of SBP, DBP and underlying hemodynamic parameters (heart rate, stroke volume [SV] and total peripheral resistance) were obtained with a Finometer during a 52-minute protocol mimicking daily life activities and including posture and math-stress tests. TBF was assessed by bioelectrical impedance and VF was examined by magnetic resonance imaging. SBP was higher in parents than adolescents by an average of 10.2±0.3 mmHg in males and 9.1±0.3 mmHg in females (p<0.0001 for both sexes). DBP differed minimally throughout the protocol (p=0.3 and 0.1, respectively). In males and females, respectively, the ‘generation’ differences in SBP were reduced to 6.0±0.1 and 4.3±0.1 mmHg when adjusted for height and TBF (p<0.0001 for both), and were further reduced to 1.9±0.1 and 2.5±0.2 mmHg when additionally adjusted for VF (p=0.1 and 0.02). Of the underlying hemodynamic parameters, only SV was higher in parents than adolescents (by 46±2 ml in males and 39±2 ml in females, p<0.0001 for both). Again, the ‘generation’ differences in SV were reduced to 23±1 (males) and 20±1 ml (females) when adjusted for height and TBF (p<0.0001 for both sexes), and were further reduced to 11.8±0.6 and 15.7±0.8 ml when additionally adjusted for VF (p<0.0001 for both sexes). These results suggest that the transition from adolescence to middle-aged adulthood is associated with an increase in SBP (but not DBP), which is driven mainly by SV augmentation. They also suggest that VF contributes to the generational differences in both SBP and SV above and beyond the contribution of TBF, despite VF being a relatively small fraction of TBF. The co-occurrence of these differences in VF, SV and SBP may be related to sympathoactivation and renal handling of sodium and water reabsorption; further research is required to confirm this possibility.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".