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Aerobic capacity in swimming, cycling and arm cranking in swimmers aged 11–13 years
BMC Sports Science, Medicine and Rehabilitation volume 16, Article number: 208 (2024)
Abstract
Background
This study aimed to compare the aerobic capacity in swimming, cycling and arm cranking in swimmers aged 11–13 years.
Methods
Eleven swimmers (mean age, 12.1 ± 1.0 years) performed three incremental exercise tests. One of the tests was performed under specific conditions (front crawl swimming), and the other two were under non–specific conditions (cycling and arm cranking). Data on the pulmonary gas exchange were recorded using the portable analyser MetaMax 3B (Cortex, Leipzig, Germany). One-way analysis of variance for repeated measures was employed to test the null hypothesis and determine statistically significant differences between the indicators obtained under specific and non–specific testing conditions. Pearson’s correlation coefficient was calculated to assess the relationships between the indicators of the pulmonary gas exchange.
Results
The relative peak oxygen uptake (V̇O2peak) value during swimming was 49.3 ± 6.2 mL/kg/min, which was higher than that during arm cranking (39.6 ± 7.3 mL/kg/min; P < 0.01) but lower than that during cycling (54.3 ± 7.8 mL/kg/min; P < 0.01). The peak minute ventilation (V̇Epeak) value during swimming (84.9 ± 12.6 L/min) was higher than that during arm cranking (69.4 ± 18.2 L/min; P < 0.01) but lower than that during cycling (98.4 ± 15.4 L/min; P < 0.01). Strong positive correlations were observed in the absolute and relative V̇O2peak values between swimming and cycling (r = 0.857, P < 0.01; r = 0.657, P < 0.05) and between swimming and arm cranking (r = 0.899, P < 0.01; r = 0.863, P < 0.05). A strong positive correlation was also observed in V̇Epeak values between swimming and arm cranking (r = 0.626, P < 0.05).
Conclusion
Swimmers aged 11–13 years showed V̇O2peak and V̇Epeak values during the specific swimming test greater than those during arm cranking but lower than those during cycling. However, aerobic capacity parameters measured during specific swimming conditions correlated with those measured during non–specific arm cranking and cycling conditions.
Background
Horizontal body position, water immersion, hydrostatic pressure in water and the specific nature of movement in swimming differ significantly from those in other sports. Swimming performance is significantly influenced by several domains, including biomechanics, physiology, anthropometrics, motor control, and muscle strength and conditioning [1, 2]. Research highlights the significant role of energetics in swimming performance, with key variables including total energy expenditure and energy cost [2]. Total energy expenditure includes energy from aerobic, anaerobic lactic, and anaerobic alactic pathways, with aerobic contribution measured through net oxygen uptake [3,4,5]. In competitive swimming, where most events last less than four minutes, athletes engage in demanding endurance training. Therefore, the aerobic capacity, particularly peak oxygen uptake (V̇O2peak) of swimmers should be considered to achieve the best results [6].
Young swimmers’ performance is influenced by a combination of anthropometric, physiological, and technical factors, competitive level, and maturational aspects with notable differences from adult swimmers [7,8,9]. The model based on biomechanical and energetic variables could explain up to 80% of young swimmers' performance. Aerobic capacity seems to be more developed in prepubertal and early pubertal stages rather than anaerobic capacity, thus it is a more important factor influencing physical performance during this period of growth and maturation [10]. Therefore, from the energetic factors aerobic capacity might be important in young swimmers aged 11–13 years involved in our study. As young swimmers undergo maturation, they experience increases in muscle mass [11] and enhanced activity of glycolytic enzymes [12, 13], leading to improved anaerobic fitness [12, 14]. These physiological changes contribute significantly to performance improvements while approaching adulthood.
Previous studies showed that indicators of the aerobic capacity of swimmers can differ depending on the selected testing methods, ergometers, and muscle groups involved [15,16,17,18]. Performing tests under specific conditions is crucial because it can most precisely reflect the specificity of adaptation in athletes. Many studies have been conducted with adult swimmers under specific conditions, including flume, tethered and free swimming [18,19,20,21,22]. Measuring VȮ2peak while swimming also offers significant advantages as it ensures consistency in body position and muscle engagement, mirroring competition conditions. Continuous oxygen uptake measurements provide precise determination of VȮ2peak during swimming, by also allowing for the detection of submaximal VȮ2 values, ventilatory thresholds, and corresponding heart rate values [15, 18, 23]. However, such process is complex, expensive, and time–consuming, requiring the involvement of qualified personnel. Continuous measurement of oxygen consumption during swimming requires a specially designed snorkel for breath-by-breath analysis, which can be particularly challenging with younger participants as such equipment is not normally used during the training sessions or competitions. The snorkel must be connected to metabolic testing equipment, which is vulnerable to water damage. Consequently, the swimmer must be attached to either a rod held by someone on land or a physical structure suspended above the pool, both of which restrict the swimmer's ability to move freely [24, 25]. Performing tests under free swimming conditions can provide informative insight on young athletes’ responses and adaptations to specific conditions. The assessment of biomechanical and energetics profile in young swimmers are not the same as for adult or elite swimmers. The ethical issues are raised and the procedures have to be less expensive, invasive, complex and time consuming [8]. To our knowledge, there is a lack of studies investigating young 11–13–year–old swimmers with several years of training experience, and their aerobic capacity during specific swimming conditions.
Pulmonary gas exchange indicators in adult swimmers differ between testing conditions as some swimmers reach higher [26] or similar [18] values during swimming than cycling tests, while others reach higher values during running or cycling tests [15]. How the aerobic capacity may differ between specific swimming and non-specific tests in young 11–13–year–old swimmers is unclear. There is also a lack of information about the pulmonary gas exchange indicator relationships between specific and non-specific testing conditions in young 11–13–year–old swimmers, while some information is available about these relationships in adults [23, 27, 28]. Cycling and tethered swimming tests demonstrated high validity with comparable V̇O2peak estimates, explaining a large proportion of differences in endurance performance while arm cranking showed weaker relationship with competitive swimming performance [18]. This information may be important because it can show the validity of the non–specific testing conditions which could selectively assess the capacity of the upper and lower body muscles which are activated during front crawl swimming. The contraction regimen of the muscles during arm cranking and cycling is closer to swimming than that during running where lots of eccentric muscle contractions are present.
Therefore, we hypothesized that young 11–13–year–old swimmers’ respiratory gas exchange values during swimming would be greater than during arm cranking but lower than during cycling. We also hypothesized that the relationships between testing conditions may be more pronounced in young 11–13–year–old swimmers, because they have not yet reached high levels of adaptation, as compared to adult athletes.
The aim of this study was to compare the aerobic capacity in swimming, cycling and arm cranking in swimmers aged 11–13 years.
Methods
Participants
Eleven swimmers participated in the study. The participants’ World Aquatic points (WAP) ranged from 203 to 377 in the 50–meter freestyle swimming. This corresponds to the 5th swimmers’ performance classification level according to the new model proposed by Ruiz-Navarro et al. [29]. The swimmers were included in the study if they were 11–13 years old, had a training experience of regular training (at least 3 times a week) for at least 3 years, regularly participated in national competitions and acquired at least 200 WAP. All swimmers did not have any medical contraindications to attend regular swimming training sessions at the sports schools. We included 6 girls and 6 boys in the study, although one of the girls did not complete all the necessary tests. Once the potential participants were identified, we provided them and their parents (or guardians) with detailed information about the study procedures and obtained informed consent. The study was conducted in accordance with the Declaration of Helsinki and approved by the Kaunas Regional Biomedical Research Ethics Committee. The characteristics of the participants are presented in Table 1.
Study design
Individual testing schedules were created after the participants and their parents provided consent. The participants had to visit the laboratory three times on separate days, during which they performed three incremental tests under specific (swimming test) and non–specific (cycle and arm crank ergometer tests) conditions. The three different incremental tests were completed in a randomized order and separated by at least 48 h.
Data collection and analysis
Anthropometry
Anthropometric data, such as body mass, body mass index and fat mass (%), were determined using the body composition analyser TBF–300 (TANITA, Tokyo, Japan), which employs the principles of bioelectrical impedance analysis.
Pulmonary gas exchange
The oxygen uptake (V̇O2), carbon dioxide output (V̇CO2), minute ventilation (V̇E), tidal volume (V̇T), breathing frequency (BF) and respiratory exchange ratio (RER) were measured on a breath–by–breath basis and averaged every 5 s during the three incremental specific and non-specific exercises and recovery periods, using the portable pulmonary gas exchange analyser MetaMax 3B (Cortex, Leipzig, Germany). The portable gas exchange analyser was shown to provide reliable measurements of metabolic demand with adequate validity for field–based measurements [24]. Heart rate (HR) was also continuously measured and averaged every 5 s throughout the three tests and recovery periods. Gas exchange values during cycling and arm cranking were measured using the “Hans Rudolph” face mask. Gas exchange values during swimming were measured using “Cortex Swim Option for MetaMax 3B–R2” which is designed to be used in the flume, in the pool or in the open water. The practical considerations for using such equipment were analysed and published [25]. The gas exchange analyser included a specific snorkel with an integrated saliva suction device. The snorkel also had an integrated HR module with 5-kHz technology to improve underwater Bluetooth® connectivity and heart rate monitoring using the H10 heart rate monitor (Polar, Kempele, Finland). The pulmonary gas exchange analyser was calibrated according to manufacturer’s recommendations before each test. Pulmonary gas exchange variables were measured on a breath-by-breath basis. Each peak value (V̇O2peak, V̇Epeak, V̇Tpeak, BFpeak and RERpeak) was the peak 20–second interval average value attained during the incremental exercise test.
Ergometry
Incremental swimming test (SW)
The initial testing procedures were conducted in a swimming pool, where the participants performed incremental front crawl swimming. The swimming was performed in a 25-m swimming pool, with water and air temperatures of approximately 26 °C and 28 °C, respectively. To ensure consistency in the increase of swimming speed, we used a light-emitting diode device called the Virtual Swim Trainer (Indico Technologies, Torino, Italy), which provided visual cues to swimmers regarding the desired velocity for each segment of their swim. The device was programmed to increase the speed by 0.05 m·s−1 every 50 m. Before the test, the participants warmed–up by swimming at a comfortable pace for approximately 4 min. During the test they swam at a predetermined speed of 0.80 m·s−1 for the first 50 m, followed by an increase to 0.85 m·s−1 for the subsequent 50 m segment, and so forth. The participants were instructed that when they could not maintain the pace set by the moving light-emitting diode lights they had to finish the remaining distance of the 50-m segment with all-out effort, the test was then terminated. The participants exited the pool and rested in a supine position for 5 min immediately after swimming. The protocol of the incremental swimming test is presented in Fig. 1.
Incremental cycle ergometer test (CE)
The participants then underwent a gradually increasing workload on the Corival cycle ergometer (Lode, Groningen, Netherlands). The participants were instructed to maintain a cadence of 70 per min while the workload remained constant at 40 W for 4 min (warm-up). The workload was subsequently increased by approximately 4.2 W every 10 s or 25 W every min. The exercise was terminated when the cadence was lower than 60 per min for 15 s. The protocol of the incremental cycle ergometer test is presented in Fig. 2. The air temperature in the laboratory during the non-specific testing was approximately 18–20 °C.
Incremental arm crank ergometer test (ACE)
The ACE was conducted using the Angio ergometric unit (Lode) following a methodology similar to that used during the incremental CE. The cadence of 70 per min was maintained both during constant and consistently increasing workloads. The constant workload for 4 min was 10 W; the workload then increased gradually by approximately 1.7 W every 10 s or 10 W every min. The exercise was terminated when the cadence was lower than 60 per min for 15 s. The protocol of the incremental arm crank ergometer test is presented in Fig. 3.
Blood lactate measurements
After performing each incremental test, the participants had to rest in the supine position for 5 min, after which a capillary blood sample was taken to measure blood lactate concentration [La5’] using the Lactate Pro 2 (Arkray, Kyoto, Japan) analyser.
Statistical analysis
Data provided in tables and graphs are presented as means and standard deviations. The Shapiro–Wilcoxon test was conducted to assess the normality of distribution. One-way analysis of variance for repeated measures was employed to test the null hypothesis and determine the differences between the indicators obtained under specific and non-specific testing conditions. The effect size was calculated using Cohen’s d method by dividing the two population mean differences by the pooled standard deviation. Pearson’s correlation coefficient was calculated to assess the relationships between the indicators of the pulmonary gas exchange. The correlation coefficients from 0.30 to 0.50 (or from –0.30 to –0.50) were considered low, from 0.50 to 0.70 (or from –0.50 to –0.70) – moderate, from 0.70 to 0.90 (or from – 0.70 to –0.90) – high and from 0.90 to 1.00 (or from –0.90 to –1.00) – very high [30]. The differences and correlations were considered statistically significant at P < 0.05. All calculations were performed using the Statistical Package for Social Sciences (SPSS v.27, SPSS Inc., Chicago, IL, USA).
Results
Peak values
The relative V̇O2peak value during the SW was approximately 9% lower and 20% higher than during the CE and ACE, respectively (Fig. 4). The effect size of the type of ergometry: SW vs CE – 0.420, SW vs ACE – 0.971, CE vs ACE – 1.562.
The mean values of other pulmonary gas exchange indicators are presented in Table 2. The absolute V̇O2peak, V̇Epeak and V̇Tpeak values during the SW were lower than those during the CE but higher than those during the ACE.
HRpeak value after the SW was approximately 8% and 5% lower than after the CE and ACE, respectively (Fig. 5).
[La5’] after the SW was approximately 49% and 10% lower than after the CE and ACE, respectively (Fig. 6).
Correlations between peak values under specific and non-specific testing conditions
Figure 7 shows positive correlations between the relative V̇O2peak values in the SW and CE (r = 0.657) (A) and in the SW and ACE (r = 0.843) (B). No statistically significant correlations were found between the relative V̇O2peak value in the SW and other pulmonary gas exchange indicators observed in the CE and ACE.
Correlations between the pulmonary gas exchange indicators obtained under specific and non-specific testing conditions are presented in Table 3. A positive correlation was observed between the absolute V̇O2peak value in the SW and the absolute V̇O2peak, V̇Epeak and V̇Tpeak values in both CE and ACE. The V̇Epeak value in the SW correlated with the absolute V̇O2peak, V̇Tpeak and BFpeak values in the CE. The V̇Epeak value in the SW also correlated with the absolute V̇O2peak, V̇Epeak and V̇Tpeak values in the ACE. The V̇Tpeak value in the SW correlated with the V̇O2peak, V̇Epeak and V̇Tpeak values in the CE and with the V̇O2peak, V̇Tpeak and BFpeak values in the ACE. The BFpeak value in the SW correlated with the V̇Tpeak value in both CE and ACE.
Discussion
The present study is the first to measure the aerobic capacity under specific swimming conditions in young swimmers aged 11–13 years. In addition, we evaluated the differences and associations of the aerobic capacity of young swimmers under three different testing conditions (swimming, cycling and arm cranking). We observed that V̇O2peak and V̇Epeak values during swimming were lower than those during cycling but higher than those during arm cranking. We also found that the V̇O2peak value during swimming strongly correlated with those during both cycling and arm cranking, while the V̇Epeak value during swimming only correlated with that during arm cranking.
On comparing our findings with previous findings, we observed that adult swimmers had higher V̇O2peak values than the young swimmers aged 11–13 years in our study. The V̇O2peak values of highly trained adult swimmers range from 44.2 ± 7.7 mL/kg/min to 76.8 ± 6.5 mL/kg/min during swimming [15, 18,19,20,21,22, 26, 31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48]. The V̇O2peak values during swimming in the present study were within this range but closer to the lower values. Notably, the V̇O2peak values ranging from 53.5 ± 4.2 mL/kg/min to 57.2 ± 4.6 mL/kg/min were observed in young 13–14–year–old female swimmers [21, 49]. Lower V̇O2peak values observed in our study may be due to the age differences of the participants, because our study involved swimmers aged 11–13 years while other studies focused on adult athletes [15, 26, 31,32,33, 46, 48]. Adaptation of the physiological systems to aerobic training because of longer training experience leads to higher V̇O2peak values among adult swimmers and less expressed differences in V̇O2peak values among ergometers, as demonstrated by Pinna et al. [26].
Adult elite swimmers in other studies had V̇Epeak values ranging from 83.0 ± 9.2 L/min to 152.1 ± 21.9 L/min [15, 19, 25, 31, 35, 36, 42, 46, 47]. The V̇Epeak values during swimming in the present study were within this range but were closer to the lower values. Such outcome could be explained by the anthropometric differences between young and adult athletes. Previous research has observed positive correlations between age and maximal V̇E [50], as well as between height and maximal V̇E [51], while others found a direct relationship between the increase in lean body mass and maximal V̇E [52]. The increase in V̇E during the period of growth and maturation is more related to the increase of V̇T rather than BF [51].
The HRpeak values of adult elite swimmers ranged from 174.8 ± 11.8 bpm to as high as 193.6 ± 7.5 bpm [19, 22, 26, 31, 32, 35,36,37, 40, 42, 44, 46, 47, 53]. The HRpeak values during swimming in the present study were in the middle of this range. Almeida et al., [22] observed similar to our HRpeak values in young swimmers. Kimura et al. [15], on comparing different testing conditions, found that the mean HRpeak values during swimming were 5% lower compared to cycling and 5% higher compared to arm cranking. Pinna et al. [26] found the opposite trends in HRpeak, where the highest HRpeak values were observed during arm cranking and they were 6% higher compared to swimming and cycling, where identical values were observed. Our study showed 8% and 5% lower HRpeak values in swimming compared to cycling and arm cranking, respectively. Lower HRpeak values during swimming could be explained by the horizontal body position. Stroke volume and cardiac filling in the supine position are enhanced compared with sitting or standing positions [53]. Arms and the upper body are mainly responsible for generating power during swimming. Therefore, differences in the active muscle mass between swimming and cycling can affect the response of the cardiovascular system and lead to differences in the HRpeak values between them [54]. Enhanced vagal tone due to water immersion can lead to lower HRpeak values during swimming than during on-land exercises [55]. Another possible reason for differences in the HRpeak values between swimming and on-land exercises may be related to increased external pressure and heat conduction in water compared with those in on-land exercises [56].
La5’ values in adult swimmers after the maximal swimming tests ranged from 6.9 ± 2.5 mmol/L to 12.9 ± 3.0 mmol/L [22, 31,32,33, 35, 38, 39, 42,43,44, 47, 48]. The [La5’] values after the swimming test in the present study were towards the lower end of this range. Eriksson and Saltin [57] reported that muscle lactate production increased with age. Previous studies also found lower blood lactate levels in younger individuals compared to adults [58]. Age–related changes in muscle enzyme activity are evident, with muscle biopsies showing lower levels of the glycolytic enzyme phosphofructokinase in children aged 11–13 years compared to adults [59,60,61]. Cycling primarily involves the large lower body muscles, which have a greater capacity for lactate production, while arm cranking and swimming primarily rely on the upper body muscles that have less overall muscle mass. Therefore, lower lactate production is observed during swimming and arm cranking than cycling [62].
In comparisons involving cycling, swimming and arm cranking, a similar study has been conducted with adult swimmers, and a higher V̇O2peak value was obtained during tethered swimming than during cycling and arm cranking [21]. While de Haan et al., [18] observed almost identical V̇O2peak values between swimming and cycling, 21% lower V̇O2peak was also observed during arm cranking compared to swimming and cycling. Moreover, Kimura et al. [15] observed V̇O2peak differences similar to ours among testing conditions, where the V̇O2peak value during swimming was approximately 11% lower and 37% higher than that during cycling and arm cranking, respectively. In our study, the percentage differences between swimming and cycling V̇O2peak values were similar (8%) while the differences between swimming and arm cranking V̇O2peak value were almost twice as low (20%). Most studies observed lower V̇O2peak values during arm cranking compared to swimming, although differences between swimming and cycling can vary from 11% lower [15] to 11% higher [26] in swimming compared to cycling. Lower V̇O2peak differences in our study could be due to the lower level of adaptation and its specificity level. Kimura et al. [15] also found that the V̇Epeak values during swimming were approximately 24% lower and 26% higher than those during cycling and arm cranking, respectively. In our study, we observed similar trends in the V̇Epeak values, with the 14% difference between swimming and cycling and 18% difference between swimming and arm cranking. The lowest V̇O2peak and V̇Epeak values usually achieved during arm cranking compared with other modes of exercise, such as cycling, could be explained by the smaller muscle mass involved, as well as the muscle fibre ratio, because arm muscles consist of a higher percentage of type II fibres [16]. Moreover, arm muscles consume less oxygen and have a lower oxidative capacity than leg muscles [56]. The differences in V̇O2peak and V̇Epeak values between swimming and cycling could be due to different recruitment and activation levels of muscles. However, in front crawl swimming only about 15% of the propulsive force is generated by the legs [63]. Furthermore, leg muscles could possibly reach higher activation levels and working muscle mass could be higher during cycling. Both arm and leg muscles might be proportionally but less activated during swimming than cycling.
Associations found in our study suggest that the V̇O2peak value observed in the SW was closely related to that observed under non-specific testing conditions. This finding indicates that swimmers aged 11–13 years who had a higher aerobic capacity during swimming would also have higher V̇O2peak values in both CE and ACE. Similarly, previous studies also observed strong positive correlation coefficients (0.73 – 0.97) between the V̇O2peak value during swimming and that during arm cranking [23, 27, 28]. Despite these studies being more than two decades old, these correlations still provide valuable insight into the physiological relationships between swimming and arm-cranking activities. A more recent study by Sousa et al. [16] did not identify any significant V̇O2peak correlations between different testing conditions in triathletes. However, the V̇Epeak value during swimming showed a significant correlation only with the V̇Epeak value during arm cranking. This finding suggests that arm cranking is a more relevant exercise modality when assessing pulmonary function compared with other forms of exercise, such as cycling, which did not demonstrate a significant correlation with the swimming-related V̇Epeak value. Physiological adaptations to exercise training are highly specific to the nature of the training activity. Therefore, the V̇O2peak values attained by athletes (rowers, cyclists and cross-country skiers) were as high as, or higher than, those attained on the treadmill [64]. Despite the specificity, the adaptation has a general component. Some transfer-of-training effects have been reported, including increased V̇O2peak values and reduced submaximal HR with untrained limbs, thus providing evidence for central circulatory adaptations to chronic endurance exercise [65, 66]. Approximately half of the increase in trained limb performance has been suggested to result from a centralized training effect and half from the peripheral adaptations, specifically alterations in trained skeletal muscle [67]. According to Fick’s equation, V̇O2peak depends on the peak cardiac output and maximal arteriovenous oxygen difference. Cardiac output is dependent on the performance of the cardiovascular system, while the difference in arteriovenous oxygen is dependent on the capacity of the working muscles to consume oxygen. Swimming training develops both the cardiorespiratory system and upper and lower body muscles. Therefore, swimmers who perform better during swimming may also perform better during cycling and arm cranking. In addition, young swimmers with shorter training experiences do not show as developed specificity of adaptation as that of adult swimmers.
Limitations
The equipment used in the present study somewhat limits certain aspects of swimming. For example, due to the snorkel position, swimmers could not perform the usual, more efficient turns and unilateral and bilateral breathing because all inhalations and exhalations are performed with the face directed towards the bottom of the pool. The biological age was not determined, which could also be one of the limitations because our study involved 11–13-year-old participants of both genders.
Conclusion
Swimmers aged 11–13 years showed V̇O2peak and V̇Epeak values during the specific swimming test were greater than those during arm cranking but lower than those during cycling. However, aerobic capacity parameters measured during specific swimming conditions correlated with those measured during non-specific arm cranking and cycling conditions.
Availability of data and materials
Selected data are available upon reasonable request from the corresponding author.
Data availability
The data that support the findings of this study are not openly available due to reasons of sensitivity and are available from the corresponding author upon reasonable request. Data are located in controlled access data storage at Lithuanian Sports University.
Abbreviations
- %diff:
-
Percentage difference among different testing conditions
- [La5’]:
-
Blood lactate concentration 5 min after the test
- ACE:
-
Arm crank ergometer test
- BF:
-
Breathing frequency
- CE:
-
Cycle ergometer test
- HR:
-
Heart rate
- RER:
-
Respiratory exchange ratio
- SW:
-
Swimming test
- V̇CO2 :
-
Carbon dioxide output
- V̇E :
-
Minute ventilation
- V̇O2peak:
-
Peak oxygen uptake
- V̇T :
-
Tidal volume
- WAP:
-
World Aquatic points
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V.M., L.S. and A.S. were in charge of the conception and the design of the study. V.M., I.J.Z. and A.J. were in charge of data acquisition, analysis and interpretation of data. The manuscript was drafted by V.M., L.S. and A.S. All authors read and approved the final manuscript.
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Maconyte, V., Stasiule, L., Juodsnukis, A. et al. Aerobic capacity in swimming, cycling and arm cranking in swimmers aged 11–13 years. BMC Sports Sci Med Rehabil 16, 208 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13102-024-00974-7
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DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13102-024-00974-7