Peak systolic blood pressure during preparticipation exercise testing in 12,083 athletes: age, sex, and workload-indexed values and predictors.

Petra Pesova, Bogna Jiravska Godula, Otakar Jiravsky, Libor Jelinek, Marketa Sovova, Katarina Moravcova, Jaromir Ozana, Ivan Ranic, Radek Neuwirth, Roman Miklik, Matej Pekar, Libor Sknouril, Vladimir Tuka, Eliska Sovova
Author Information
  1. Petra Pesova: Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia.
  2. Bogna Jiravska Godula: Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia.
  3. Otakar Jiravsky: Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia.
  4. Libor Jelinek: Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia.
  5. Marketa Sovova: Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia.
  6. Katarina Moravcova: Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia.
  7. Jaromir Ozana: Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia.
  8. Ivan Ranic: Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia.
  9. Radek Neuwirth: Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia.
  10. Roman Miklik: Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia.
  11. Matej Pekar: Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia.
  12. Libor Sknouril: Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia.
  13. Vladimir Tuka: Second Department of Medicine - Department of Cardiovascular Medicine, General University Hospital and First Faculty of Medicine, Charles University, Praha, Czechia.
  14. Eliska Sovova: Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia.

Abstract

Aim: Assessment of blood pressure during exercise is routine in athletes, but normal values remain equivocal. This study examines the response of systolic blood pressure (SBP) to exercise in a large cohort of athletes and establishes normative values by sex and age.
Methods: Competitive athletes free of cardiovascular disease underwent pre-participation exercise testing on a bicycle ergometer. Resting (SBPrest) and peak blood pressure (SBPpeak), heart rate (HRrest and HRpeak), and power output (WR) were recorded. Workload indexed values were calculated.
Results: The cohort included 12,083 athletes (median age 15 years, 26.9% female). Median peak exercise SBP was similar between sexes, but WR-indexed measures including SBP/WR ratio and SBP/(WR/kg) slope were higher in females (0.9 vs. 0.7, < 0.001; 10.94 vs. 9.52, < 0.001). Univariate analyses revealed significant associations between SBPpeak and several predictors, including sex, age, weight, height, SBPrest, DBPrest, HRrest, HRpeak, and WR (all < .001). Multivariate analysis showed that SBPrest (beta = 0.353, 95% CI [0.541, 0.609], < 0.001), height (beta = 0.303, 95% CI [0.360, 0.447], < 0.001), WR (beta = 0.171, 95% CI [0.029, 0.045], < 0.001), and age (beta = 0.093, 95% CI [0.162, 0.241], < 0.001) were the strongest predictors of SBPpeak.
Conclusion: This study provides reference values for the interpretation of SBP responses to exercise in athletes. Multivariate analyses highlight the complex interplay of factors influencing peak SBP, including SBPrest, height, WR, age, DBPrest, sex, endurance sport category, and weight. In future studies, these findings may inform the development of personalised training strategies and risk stratification models in athletic populations.

Keywords

References

  1. Arterioscler Thromb Vasc Biol. 2023 Jan;43(1):163-173 [PMID: 36384270]
  2. Eur J Prev Cardiol. 2020 Jun;27(9):978-987 [PMID: 31564136]
  3. Eur Heart J. 2019 Jan 1;40(1):62-68 [PMID: 30590485]
  4. Clin Physiol Funct Imaging. 2024 Sep 13;: [PMID: 39267587]
  5. Br J Sports Med. 2015 Jun;49(11):716-23 [PMID: 25631543]
  6. Eur J Prev Cardiol. 2021 Oct 25;28(13):1487-1494 [PMID: 33611510]
  7. J Appl Physiol (1985). 2010 Dec;109(6):1989-95 [PMID: 20689090]
  8. Postgrad Med J. 2007 Nov;83(985):675-82 [PMID: 17989266]
  9. Scand J Med Sci Sports. 2015 Jun;25(3):e274-82 [PMID: 25199922]
  10. J Appl Physiol (1985). 1997 Apr;82(4):1229-36 [PMID: 9104860]
  11. Circulation. 2013 Aug 20;128(8):873-934 [PMID: 23877260]
  12. Eur Heart J. 2018 Sep 1;39(33):3021-3104 [PMID: 30165516]
  13. J Clin Med. 2021 Oct 29;10(21): [PMID: 34768593]
  14. J Appl Physiol (1985). 2019 Aug 1;127(2):408-414 [PMID: 31219771]
  15. Exp Physiol. 2016 Mar;101(3):349-55 [PMID: 26152788]
  16. Med Sci Sports Exerc. 2023 Dec 1;55(12):2328-2360 [PMID: 37772882]
  17. Br J Sports Med. 2009 Sep;43(9):631-43 [PMID: 19734496]
  18. JAMA. 2006 Oct 4;296(13):1648-50 [PMID: 17018808]
  19. Nutr Rev. 2012 Nov;70 Suppl 2:S137-42 [PMID: 23121349]
  20. Eur J Prev Cardiol. 2021 Oct 13;28(12):1360-1369 [PMID: 34647584]
  21. Med Sci Sports Exerc. 1982;14(5):377-81 [PMID: 7154893]
  22. Eur Heart J. 2021 Jan 1;42(1):17-96 [PMID: 32860412]
  23. Hypertension. 2002 Mar 1;39(3):761-6 [PMID: 11897759]
  24. Eur J Appl Physiol. 2021 Jul;121(7):1859-1869 [PMID: 33709207]
  25. Sports (Basel). 2024 May 26;12(6): [PMID: 38921838]
  26. J Cardiovasc Dev Dis. 2023 Apr 21;10(4): [PMID: 37103062]
  27. Heart. 2019 Aug;105(16):1223-1230 [PMID: 31142598]
  28. Dtsch Arztebl Int. 2018 Jun 15;115(24):409-416 [PMID: 29968559]
  29. J Basic Clin Physiol Pharmacol. 2022 Jun 01;33(5):655-663 [PMID: 35647906]
  30. Curr Hypertens Rep. 2017 Oct 18;19(11):89 [PMID: 29046978]
  31. J Cardiovasc Dev Dis. 2023 Nov 29;10(12): [PMID: 38132648]
  32. Expert Rev Cardiovasc Ther. 2020 Jul;18(7):435-442 [PMID: 32594825]
  33. High Blood Press Cardiovasc Prev. 2022 Jan;29(1):81-88 [PMID: 34822139]
  34. Am Heart J. 2016 Jul;177:120-8 [PMID: 27297857]
  35. J Am Coll Cardiol. 2002 Oct 16;40(8):1531-40 [PMID: 12392846]

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