Evaluation of treadmill cardiopulmonary exercise testing and field measurement results in women’s youth and adult national team water polo players

The benefits of treadmill-based cardiopulmonary exercise testing (CPET) are well known. However, water polo trainings involve completely different movements in a distinct environment. Our objective was to analyze data from elite youth and adult water polo players, gathered through CPET and age- and sport-specific swimming tests. Resting and exercise heart rate, as well as lactate levels, were examined at specific time points during both assessments. Additionally, maximal aerobic capacity was evaluated during the CPET. Forty-six female water polo players were examined (age:18.5 ± 5.9 y, adults:19). No significant differences were found between CPET and swimming tests for resting heart rate (75[IQR:65-85] vs. 71[IQR:63-81] BPM, p = 0.33) and lactate levels (1.5[IQR:1.1-1.7] vs. 1.5[IQR:1.3-1.7] mM, p = 0.33). Maximal heart rates were higher during CPET than swimming (196.3 ± 9.7vs.191.0 ± 12.5 BPM, p < 0.001), while maximal lactate levels were lower (8.4 ± 2.4vs.9.6 ± 2.7 mM, p < 0.05). Lactate levels remained elevated after routine cool-down swimming ordered by the trainers, but decreased after suggested further training (6.6 ± 2.7vs.3.7 ± 1.6 mM, p < 0.001). Comparing the youth (<18y) and the adult (≥18y) players, no differences in relative maximal aerobic capacity (44.4 ± 4.8vs.44.9 ± 5.5 ml/kg/min, p = 0.72) and in peak lactate values (8.2 ± 2.7vs.8.7 ± 1.9 mM, p = 0.48) were observed in CPET examinations, while maximal heart rates were higher in the youth group (200.7 ± 7.2vs.190.1 ± 9.6 BPM, p < 0.001). Similarly, maximal lactate levels showed no differences (9.1 ± 2.6vs.10.4 ± 2.7 mM, p = 0.13), while maximal heart rates were higher in the youth group during swimming examinations (197.7 ± 10.0vs.181.4 ± 8.9 BPM, p < 0.001). The combined use of both exercise tests enables the assessment of maximal physiological parameters (heart rate, lactate, aerobic capacity) during different types and intensities of physical exercise and identifies differences across age groups, facilitating the design of a more personalized and effective training program.

Authors

Institutions

Publication Details

Journal
Heliyon
Published
2024-12-11
DOI
https://doi.org/10.1016/j.heliyon.2024.e41131
Citations
3
Primary Topic
Cardiovascular Effects of Exercise
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of treadmill cardiopulmonary exercise testing and field measurement results in women’s youth and adult national team water polo players

Alexandra Fábián, Hajnalka Vágó, Csaba Bognár, Máté Babity et al.
3 citations
Heliyon
Cardiovascular Effects of Exercise
1.21
article

Evaluation of treadmill cardiopulmonary exercise testing and field measurement results in women’s youth and adult national team water polo players

Alexandra Fábián, Hajnalka Vágó, Csaba Bognár, Máté Babity, Bálint Károly Lakatos, Attila D Kovács, Péter István Kulcsár, Márk Zámodics, Rita Benkő, Béla Péter Merkely, Ágnes Bucskó-Varga, Dóra Boroncsok, Orsolya Kiss, Attila Mihok
article en
3 citations

Abstract

The benefits of treadmill-based cardiopulmonary exercise testing (CPET) are well known. However, water polo trainings involve completely different movements in a distinct environment. Our objective was to analyze data from elite youth and adult water polo players, gathered through CPET and age- and sport-specific swimming tests. Resting and exercise heart rate, as well as lactate levels, were examined at specific time points during both assessments. Additionally, maximal aerobic capacity was evaluated during the CPET. Forty-six female water polo players were examined (age:18.5 ± 5.9 y, adults:19). No significant differences were found between CPET and swimming tests for resting heart rate (75[IQR:65-85] vs. 71[IQR:63-81] BPM, p = 0.33) and lactate levels (1.5[IQR:1.1-1.7] vs. 1.5[IQR:1.3-1.7] mM, p = 0.33). Maximal heart rates were higher during CPET than swimming (196.3 ± 9.7vs.191.0 ± 12.5 BPM, p < 0.001), while maximal lactate levels were lower (8.4 ± 2.4vs.9.6 ± 2.7 mM, p < 0.05). Lactate levels remained elevated after routine cool-down swimming ordered by the trainers, but decreased after suggested further training (6.6 ± 2.7vs.3.7 ± 1.6 mM, p < 0.001). Comparing the youth (<18y) and the adult (≥18y) players, no differences in relative maximal aerobic capacity (44.4 ± 4.8vs.44.9 ± 5.5 ml/kg/min, p = 0.72) and in peak lactate values (8.2 ± 2.7vs.8.7 ± 1.9 mM, p = 0.48) were observed in CPET examinations, while maximal heart rates were higher in the youth group (200.7 ± 7.2vs.190.1 ± 9.6 BPM, p < 0.001). Similarly, maximal lactate levels showed no differences (9.1 ± 2.6vs.10.4 ± 2.7 mM, p = 0.13), while maximal heart rates were higher in the youth group during swimming examinations (197.7 ± 10.0vs.181.4 ± 8.9 BPM, p < 0.001). The combined use of both exercise tests enables the assessment of maximal physiological parameters (heart rate, lactate, aerobic capacity) during different types and intensities of physical exercise and identifies differences across age groups, facilitating the design of a more personalized and effective training program.

HeliyonVol. 11(1)
Semmelweis University (HU), Gottsegen National Cardiovascular Center (HU), Hungarian School Sport Federation (HU)
European Commission, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Innovációs és Technológiai Minisztérium, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, National Research, Development and Innovation Office
Gender equality
Openalex Percentile: Top 17%
Cardiovascular Effects of Exercise
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.