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Pesova P, Jiravska Godula B, Jiravsky O, Jelinek L, Sovova M, Moravcova K, Ozana J, Ranic I, Neuwirth R, Miklik R, Pekar M, Sknouril L, Tuka V, Sovova E. Peak systolic blood pressure during preparticipation exercise testing in 12,083 athletes: age, sex, and workload-indexed values and predictors. Front Physiol 2024; 15:1456331. [PMID: 39651432 PMCID: PMC11621218 DOI: 10.3389/fphys.2024.1456331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2024] [Accepted: 10/30/2024] [Indexed: 12/11/2024] Open
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, p < 0.001; 10.94 vs. 9.52, p < 0.001). Univariate analyses revealed significant associations between SBPpeak and several predictors, including sex, age, weight, height, SBPrest, DBPrest, HRrest, HRpeak, and WR (all p < .001). Multivariate analysis showed that SBPrest (beta = 0.353, 95% CI [0.541, 0.609], p < 0.001), height (beta = 0.303, 95% CI [0.360, 0.447], p < 0.001), WR (beta = 0.171, 95% CI [0.029, 0.045], p < 0.001), and age (beta = 0.093, 95% CI [0.162, 0.241], p < 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.
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Affiliation(s)
- Petra Pesova
- Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia
- Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia
| | - Bogna Jiravska Godula
- Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia
- Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia
| | - Otakar Jiravsky
- Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia
- Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Libor Jelinek
- Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia
| | - Marketa Sovova
- Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia
| | - Katarina Moravcova
- Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia
| | - Jaromir Ozana
- Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia
| | - Ivan Ranic
- Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia
- Faculty of Medicine, University of Ostrava, Ostrava, Czechia
| | - Radek Neuwirth
- Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia
- Faculty of Medicine, Masaryk University, Brno, Czechia
- Faculty of Medicine, University of Ostrava, Ostrava, Czechia
| | - Roman Miklik
- Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia
| | - Matej Pekar
- Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia
- Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Libor Sknouril
- Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia
- Faculty of Medicine, University of Ostrava, Ostrava, Czechia
| | - Vladimir Tuka
- Second Department of Medicine - Department of Cardiovascular Medicine, General University Hospital and First Faculty of Medicine, Charles University, Praha, Czechia
| | - Eliska Sovova
- Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia
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Sleboda DA, Wold ES, Roberts TJ. Passive muscle tension increases in proportion to intramuscular fluid volume. ACTA ACUST UNITED AC 2019; 222:jeb.209668. [PMID: 31558592 DOI: 10.1242/jeb.209668] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 09/22/2019] [Indexed: 12/15/2022]
Abstract
During extended bouts of exercise, muscle can increase in volume by as much as 20% as vascular fluid moves into the tissue. Recent findings suggest that the fluid content of muscle can influence the mechanics of force production; however, the extent to which natural volume fluctuations should be expected to influence muscle mechanics in vivo remains unclear. Here, using osmotic perturbations of bullfrog muscle, we explored the impacts of physiologically relevant volume fluctuations on a fundamental property of muscle: passive force production. We found that passive force and fluid volume were correlated over a 20% increase in muscle volume, with small changes in volume having significant effects on force (e.g. a 5% volume increase results in a >10% passive force increase). A simple physical model of muscle morphology reproduces these effects. These findings suggest that physiologically relevant fluid fluxes could alter passive muscle mechanics in vivo and affect organismal performance.
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Affiliation(s)
- David A Sleboda
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912, USA
| | - Ethan S Wold
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912, USA
| | - Thomas J Roberts
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912, USA
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Prado R, Morales B, García M, Molina-Ochoa J, Valpuesta S, Hernández R, García C. Effects of exercise on cations/anions in blood serum of English Thoroughbred horses. ARQ BRAS MED VET ZOO 2019. [DOI: 10.1590/1678-4162-10830] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
ABSTRACT English Thoroughbred horses, are widespread in Mexico and due to the lack of data on their exercise physiology, it is important to conduct exercise tests in order to obtain information the effects of exercise on more essential cations/anions in blood serum, as these horses are submitted to constant efforts. The study was carried out with 150 blood samples of English Thoroughbred horses clinically healthy. The blood sample collection was performed during three periods: 1) rest, 2) 30min after exercise (speed race of 12km/h for 30min with no rest) and 3) 60min after exercise. Mean values were calculated for cations (sodium and potassium) and anions (chloride and bicarbonate). The resulting data set was analyzed using Gaussian distribution and descriptive statistics. Confidence intervals of 95% were established. The linear relationships between ions were quantified, and an analysis of variance was performed to compare the mean values between groups. The concentrations of the described analytes are consistent with values reported by international literature. The comparison between groups, revealed that during exercise, sodium ion did not show changes 30min after exercise and increase 60min after. Potassium ion showed increase 30min after exercise and decrease 60min after. Chloride ion showed a decrease 30min after exercise, to recover gradually 60min after. Meanwhile, bicarbonate ion showed increase 30min after exercise, decreasing slightly in the final stage. Negative correlation between bicarbonate ion and chloride ion were determined. It was concluded that exercise tests are useful for the determination of acid-base balance and osmotic balance, and their main role is to evaluate the athletic ability of horses.Considering that chloride ion excretion and metabolic adjustments of potassium ion and bicarbonate ion are superior to water loss, compared to the normal osmolarity of blood serum. The results found can be used to structure an adequate replacement program of electrolytes lost in sweat.
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Affiliation(s)
| | | | - M.L.J. García
- Centro Universitario de Investigação e Desenvolvimento Agropecuário, México
| | - J. Molina-Ochoa
- Universidade de Colima, Mexico; Centro Universitario de Investigação e Desenvolvimento Agropecuário, México
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Mora-Rodríguez R, Sanchez-Roncero A, Fernández-Elías VE, Guadalupe-Grau A, Ortega JF, Dela F, Helge JW. Aerobic Exercise Training Increases Muscle Water Content in Obese Middle-Age Men. Med Sci Sports Exerc 2017; 48:822-8. [PMID: 26694843 DOI: 10.1249/mss.0000000000000848] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE The objective of this study is to determine whether muscle water content (H2Omuscle) expands with training in deconditioned middle-age men and the effects of this expansion in other muscle metabolites. METHODS Eighteen obese (BMI = 33 ± 3 kg⁻¹·m⁻²) untrained (V˙O2peak = 29 ± 7 mL⁻¹·kg⁻¹·min⁻¹) metabolic syndrome men completed a 4-month aerobic cycling training program. Vastus lateralis muscle biopsies were collected before and 72 h after the completion of the last training bout. Water content, total protein, glycogen concentration, and citrate synthase activity were measured in biopsy tissue. Body composition was assessed using dual-energy X-ray absorptiometry, and cardiometabolic fitness was measured during an incremental cycling test. RESULTS Body weight and fat mass were reduced -1.9% and -5.4%, respectively (P < 0.05), whereas leg fat free mass increased with training (1.8%, P = 0.023). Cardiorespiratory fitness (i.e., V˙O2peak), exercise maximal fat oxidation (i.e., FOmax), and maximal cycling power (i.e., Wmax) improved with training (11%, 33%, and 10%, respectively; P < 0.05). After 4 months of training, H2Omuscle increased from 783 ± 18 to 799 ± 24 g·kg⁻¹ wet weight (ww) (2%, P = 0.011), whereas muscle protein concentration decreased 11% (145 ± 15 to 129 ± 13 g·kg⁻¹ ww, P = 0.007). Citrate synthase activity (proxy for mitochondrial density) increased by 31% (17 ± 5 to 22 ± 5 mmol·min⁻¹·kg⁻¹ ww, P = 0.024). Muscle glycogen concentration increased by 14% (22 ± 7 to 25 ± 7 g·kg⁻¹ ww) although without reaching statistical significance when expressed as per kilogram of wet weight (P = 0.15). CONCLUSIONS Our findings suggest that aerobic cycling training increases quadriceps muscle water although reduces muscle protein concentration in obese metabolic syndrome men. Reduced protein concentration coexists with increased leg lean mass suggestive of a water dilution effect that however does not impair increased cycling leg power with training.
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Affiliation(s)
- Ricardo Mora-Rodríguez
- 1Exercise Physiology Laboratory at Toledo, University of Castilla-La Mancha, Toledo, SPAIN; and 2Xlab, Center for Healthy Aging, Department of Biomedical Sciences, Faculty of Health Sciences, University of Copenhagen, Copenhagen, DENMARK
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Fernández-Elías VE, Ortega JF, Nelson RK, Mora-Rodriguez R. Relationship between muscle water and glycogen recovery after prolonged exercise in the heat in humans. Eur J Appl Physiol 2015; 115:1919-26. [PMID: 25911631 DOI: 10.1007/s00421-015-3175-z] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2015] [Accepted: 04/14/2015] [Indexed: 11/30/2022]
Abstract
PURPOSE It is usually stated that glycogen is stored in human muscle bound to water in a proportion of 1:3 g. We investigated this proportion in biopsy samples during recovery from prolonged exercise. METHODS On two occasions, nine aerobically trained subjects ([Formula: see text] = 54.4 ± 1.05 mL kg(-1) min(-1); mean ± SD) dehydrated 4.6 ± 0.2 % by cycling 150 min at 65 % [Formula: see text] in a hot-dry environment (33 ± 4 °C). One hour after exercise subjects ingested 250 g of carbohydrates in 400 mL of water (REHLOW) or the same syrup plus water to match fluid losses (i.e., 3170 ± 190 mL; REHFULL). Muscle biopsies were obtained before, 1 and 4 h after exercise. RESULTS In both trials muscle water decreased from pre-exercise similarly by 13 ± 6 % and muscle glycogen by 44 ± 10 % (P < 0.05). After recovery, glycogen levels were similar in both trials (79 ± 15 and 87 ± 18 g kg(-1) dry muscle; P = 0.20) while muscle water content was higher in REHFULL than in REHLOW (3814 ± 222 vs. 3459 ± 324 g kg(-1) dm, respectively; P < 0.05; ES = 1.06). Despite the insufficient water provided during REHLOW, per each gram of glycogen, 3 g of water was stored in muscle (recovery ratio 1:3) while during REHFULL this ratio was higher (1:17). CONCLUSIONS Our findings agree with the long held notion that each gram of glycogen is stored in human muscle with at least 3 g of water. Higher ratios are possible (e.g., during REHFULL) likely due to water storage not bound to glycogen.
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Affiliation(s)
- Valentín E Fernández-Elías
- Exercise Physiology Laboratory at Toledo, University of Castilla-La Mancha, Avda. Carlos III, s/n, 45071, Toledo, Spain
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