# Determinants of Longitudinal Changes in Exercise Blood Pressure in a Population of Young Athletes: The Role of BMI

**Authors:** Francesca Battista, Marco Vecchiato, Kiril Chernis, Sara Faggian, Federica Duregon, Nicola Borasio, Sara Ortolan, Giacomo Pucci, Andrea Ermolao, Daniel Neunhaeuserer

PMC · DOI: 10.3390/jcdd12020074 · Journal of Cardiovascular Development and Disease · 2025-02-15

## TL;DR

This study finds that increases in BMI and being male are key factors in rising exercise blood pressure among young athletes over time.

## Contribution

The study identifies BMI changes and male sex as independent determinants of longitudinal exercise blood pressure increases in adolescent athletes.

## Key findings

- BMI increase during development is a strong predictor of higher exercise blood pressure.
- Male sex is independently associated with increased blood pressure during both light and maximal exercise.
- Baseline and changing BMI levels predict shifts in blood pressure quartiles during exercise.

## Abstract

AIM: Higher exercise blood pressure in adults correlates with many cardiometabolic markers. The aim of this study was to investigate the main determinants of longitudinal variations in exercise blood pressure in young athletes. METHODS: A longitudinal retrospective study was conducted on adolescent athletes who underwent at least two sport-related pre-participation screening visits, including exercise testing with a standardized incremental ramp protocol on treadmill. Blood pressure was assessed at rest (SBPrest), at the 3rd minute of exercise (SBP3min), and at peak exercise (SBPpeak). Predictors of blood pressure response (i.e., respective changes vs. baseline (Δ)) were determined by multivariate regression models after adjustment for age, sex, follow-up duration, related baseline SBP values, characteristics of sport, and ΔBMI. RESULTS: A total of 351 young athletes (mean age at baseline 13 ± 2 years, 54% boys, average follow-up duration 3.4 ± 2.2 years) were enrolled. BMI increased by 1.5 ± 1.8 kg/m2 (p < 0.001) during follow-up. At baseline, mean SBPrest was 103 ± 14 mmHg, mean SBP3min 124 ± 18 mmHg, and mean SBPpeak 154 ± 23 mmHg. A significant between-visit increase in SBPrest (ΔSBPrest 7.0 ± 17.4 mmHg; p < 0.001), ΔSBP3min (4.8 ± 11 mmHg, p < 0.001), and ΔSBPpeak (11.7 ± 24 mmHg, p < 0.001) was observed. ΔSBP3min was significantly predicted by male sex (p < 0.01), baseline BMI (p < 0.01), ΔBMI (p < 0.01), and number of practiced sports (p < 0.05), whereas ΔSBPpeak was positively predicted by male gender (p < 0.01), baseline BMI (p < 0.05), and ΔBMI (p < 0.01) and negatively by baseline resting heart rate (p < 0.01). In a logistic regression model, ΔBMI was the only independent determinant of passing from a lower to an upper quartile of SBP3min (p < 0.001), while ΔBMI and male sex were independent determinants of moving to a higher quartile of SBPpeak (p < 0.001). CONCLUSIONS: Increase in BMI during development and male sex are independent determinants of the increase in exercise blood pressure, both at light and maximal intensity, in a population of adolescent athletes.

## Full-text entities

- **Diseases:** weight gain (MESH:D015430), Hypertension (MESH:D006973), cardiometabolic disease (MESH:D024821), stroke (MESH:D020521), death (MESH:D003643), inflammation (MESH:D007249), organ damage (MESH:D000092124), impaired cerebral blood flow (MESH:D054318), COVID-19 (MESH:D000086382), injury to people or property (MESH:C000719191), left ventricular hypertrophy (MESH:D017379), endothelial dysfunction (MESH:D014652), cardiovascular disease (MESH:D002318), dyslipidemia (MESH:D050171), arterial stiffness (MESH:C566112), systolic (MESH:D000092244), of the cardiovascular system (MESH:D018376), Overweight and obesity (MESH:D050177), Obesity (MESH:D009765), type 2 diabetes mellitus (MESH:D003924), insulin resistance (MESH:D007333), output (MESH:D002303)
- **Chemicals:** glucose (MESH:D005947), sodium (MESH:D012964), mercury (MESH:D008628)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC11856185/full.md

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Source: https://tomesphere.com/paper/PMC11856185