The data of participants was gathered from records of commercial CPET performed in years 2013–2020. They were recruited via internet and social media advertisements, or via recommendation from trainers or other clients. The tests were carried out on personal request of the participants as part of training optimization and diagnostics. The participants were amateur triathletes who had participated in competitive events. Inclusion criteria for the study were: age over 18 years, triathlon training for at least 3 months, having a treadmill test and a cycle ergometer test performed within a maximum 2 months’ timeframe, and meeting the maximum exertion criteria described below. Exclusion criteria were any chronic or acute medical conditions (including musculoskeletal system disorders like new fractures and sprains, as well as addiction to nicotine, alcohol, or other substances) or ongoing intake of any medication. Identical study methods and procedures were used during the entire period from which data were gathered. Participants were informed via e-mail on how to prepare for the test. They were advised to avoid any exercise 2 h prior to the test, eat a light carbohydrate meal 2–3 h before the test and stay hydrated by drinking isotonic beverages. They were also instructed to avoid medicines, caffeine, and cigarettes before the test.
From the database, we obtained 238 individual cases of people who carried out the study twice (cycling and running separately). After verifying the inclusion criteria, we obtained 143 cases included in further analysis. Populational data was calculated as means with standard deviation (SD) and is presented in Table 1. Body mass (BM) and fat mass (FM) were measured with the use of a BC analyzer (Tanita, MC 718, Japan) before every test with the multifrequency 5 kHz/50 kHz/250 kHz electrical bioimpedance method. The BC tests were conducted directly prior to each CPET if the interval between tests was > 48h and mean values from both tests were further analyzed. In cases where two CPET tests were carried out on following days, only one BC analysis was performed prior to the first CPET. All measurements (BC and CPET) took place under similar conditions in the medical clinic Sportslab (www.sportslab.pl, Warsaw, Poland). The conditions were: 40 m2 of indoor, air-conditioned space, altitude 100 m MSL, temperature 20–22 degrees Centigrade, 40–60% humidity. Exercise tests were performed on a cycle ergometer Cyclus-2 (RBM elektronik-automation GmbH, Leipzig, Germany) and on a mechanical treadmill (h/p/Cosmos quasar, Germany), within 1day – 2months of one another.
Table 1
Population characteristics for males and females, including characteristics of the age groups ≤ 40 and > 40 years of age in males and the mean differences between them.
Female athletes |
Characteristic | All n = 181 | | | | | |
Age | 33 (7) | | | | | |
Height | 169 (4) | | | | | |
Weight | 61.9 (4.4) | | | | | |
BMI | 21.70 (1.37) | | | | | |
BF | 23.3 (3.5) | | | | | |
FM | 14.55 (2.93) | | | | | |
FFM | 47.38 (2.61) | | | | | |
Male athletes |
Characteristic | All n = 125 | ≤ 40, n = 801 | > 40, n = 451 | Difference2 | 95% CI2,3 | p-value2 |
Age | 38 (10) | 32 (5) | 46 (8) | 15.39 | 12.10–15.67 | < 0.001 |
Height | 181 (7) | 181.0 (7.0) | 180.0 (6.0) | 1.40 | -1.00, 3.80 | 0.3 |
Weight | 79 (9) | 78.0 (10.0) | 79.0 (8.0) | -0.67 | -4.00, 2.70 | 0.7 |
BMI | 24.04 (2.19) | 23.8 (2.4) | 24.4 (1.7) | -0.56 | -1.30, 0.18 | 0.13 |
BF | 15.4 (4.2) | 15.2 (4.2) | 15.8 (4.3) | -0.60 | -2.20, 1.00 | 0.5 |
FM | 12.3 (4.6) | 12.2 (4.8) | 12.6 (4.1) | -0.47 | -2.10, 1.10 | 0.6 |
FFM | 66 (6) | 66.0 (6.0) | 66.0 (6.0) | -0.21 | -2.40, 2.00 | 0.9 |
1 Mean (SD) 2 Welch Two Sample t-test 3 CI = Confidence Interval Height (cm); Weight (kg); BMI, body masa index; BF, body fat (%); FM, fat mass (kg); FFM, fat free mass (kg). |
During all tests, cardio-pulmonary indices were recorded using a Cosmed Quark CPET device (Rome, Italy), calibrated before each test according to the manufacturer’s instructions. HR was measured using the ANT + chest strap which is part of the Cosmed Quark CPET device (declared accuracy similar to ECG, ± 1 bpm.). Each test was preceded by a 5 min warm up (walking or pedaling with no resistance). To account for different exercise capacity of the athletes, the initial power (Watt) or speed (km/h) were determined based on an interview carried out before each individual test. The lowest power at which the participant subjectively felt resistance was selected as the initial power for cycle ergometer tests (60-150W). The power was then increased by 20–30 W every 2 min. For treadmill tests the start speed was an individually selected slow running pace, between 7 and 12 km/h based on interview and 1% incline was applied. The speed was then increased by 1 km/h every 2 min. To assess the maximum level of aerobic fitness, participants were instructed to maintain the effort for as long as possible, encouraged verbally to the greatest possible effort. They could terminate the test at any moment if they felt they could no longer maintain the exertion level. Participants were under cardiopulmonary monitoring during the entire test. Before each CPET, after each change of load, and 3 minutes after the test, 20 µL of blood were collected from the fingertip for determination of lactate concentration (LA) using the Super GL2 analyzer (Müller Gerätebau GmbH, Freital, Germany) calibrated before each series of samples. There were no interruptions in the CPET during the collection of blood samples. During the running test, the athlete, while running, put his hand on the rail attached to the treadmill and a technician took a blood sample. Before the sample was drawn into the capillary, the first drops of blood were carefully squeezed into a swab. Similarly, during the cycling test, the subject was asked to relax their hands for about 20–30 seconds before the collection, and then the first drops of blood were discarded before taking the sample into a capillary.
The test was terminated by the operator if either VO2 or HR showed no further increase with increasing speed/power. The results of the BC analysis and CPET were saved as an Excel (Microsoft corporation, Washington, United States) spreadsheet for further analysis. The raw data were anonymized and processed with the use of a custom program created in Python software to identify data at AT, RCP, and maximum exertion. In accordance with current standards, CPET data were recorded breath by breath and then averaged across 15-s intervals; the highest HR in the interval was recoded and HR values were not averaged 28. For statistical evaluation we included only cases where 3 of 4 following criteria were met: RER during test reaching > 1.10, VO2 plateau (an increase in VO2 with increasing speed/power lower than 100 ml/min), respiratory frequency over 45/min, perceived exertion over 18 in Borg scale 29. AT and RCP were located from visual inspection. It was assumed that AT was reached after the following criteria were met: (1) VE/VO2 curve begins to rise with constant VE/VCO2 curve; (2) End-Tidal Partial Pressure of Oxygen begins to rise with constant End-Tidal Partial Pressure of Carbon Dioxide 30.
It was assumed that RCP was reached after the following criteria were met: (1) a decrease in PetCO2 after reaching maximal level; (2) a rapid nonlinear increase in VE (second deflection); (3) the VE/VCO2 ratio reached a minimum and began to increase; (4) a nonlinear increase in VCO2 versus VO2 (departure from linearity) 30.
Retrospective performance data
Competition experience was assessed using the enduhub.com database (Enduhub Corporation, Newark, DE). It is a commonly available website where official scores of participants’ competitions on standardized distances (1/8, 1/4, 1/2 Ironman, Sprinter and Olympic distances of triathlon were included) are uploaded by event organizers. Each score in this database is thoroughly validated by professional companies specialized in time measuring during sports events (Datasport, Szczawno Zdrój, Poland and STS-Timing, Łubianka, Poland. Results are verified before publication by enduhub.com editors.
We used the earliest officially available score from distance-standardized triathlon and used it as a starting point to assess competition experience which was presented in months (month of competition and CPET were both included). These times were applied to calculate how long each sportsman is engaged in regular training and actively take part in public competitions.
Ethical considerations
The study involving human participants was reviewed and approved by the Bioethical Committee of the Medical University of Warsaw. The patients/participants provided their written informed consent to participate in this study. All procedures were carried out in accordance with the Declaration of Helsinki.
Data analysis
Statistical analysis has been conducted in R environment/programming language for statistical computing (version 3.6.4) and lmtest and gtsummary libraries 31,32.
Missing data were identified in lactate values in 7 cases and imputation was performed with random forests 33.
Normality was tested with the Anderson-Darling test. Data were calculated as means with SD and 95% confidence intervals (CI). Differences between results of both testing modalities were calculated using paired T-tests. A significance level of p < 0.05 was adopted for all results.
MLR models were created to evaluate the relationship between the differences in results from treadmill and cycle ergometry (dependent variables), and body fat (BF), fat free mass (FFM), and BMI. Several regression models were initially tested and MLR was selected as the best fit based on the Akaike information criterion. The models were only created for the male population due to group sizes. The population was also divided according to age into two groups, < 40 years and > 40 years (age was not included as an independent variable in these models). The division was based on the assumption that aerobic capacity decreases rapidly after the age of 40 years in males and is related to muscle mass 34,35. The Harvey- Collier test was used to test linearity. R-squared (R2) was used to assess the quality of the models.