Next Article in Journal
Mental Health Screening Approaches for Resettling Refugees and Asylum Seekers: A Scoping Review
Next Article in Special Issue
Analysis of Physical Demands in Four Tug of War World Indoor Championships (2010–2016)
Previous Article in Journal
The Influence of Maternal Aerobic Exercise, Blood DHA and EPA Concentrations on Maternal Lipid Profiles
Previous Article in Special Issue
Temporal and Spatial Characteristics of Pacing Strategy in Elite Women’s 400 Meters Hurdles Athletes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Comparison of the Field-Based Intermittent Running Fitness Test 30-15 and the Treadmill Multistage Incremental Test for the Assessment of Cardiorespiratory Fitness in Elite Handball Players

1
Faculty of Sport, University of Ljubljana, 1000 Ljubljana, Slovenia
2
Faculty of Sport and Physical Education, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina
3
Faculty of Physical Education and Sport, University of Banja Luka, 78000 Banja Luka, Bosnia and Herzegovina
4
Science and Research Centre Koper, Institute for Kinesiology Research, 6000 Koper, Slovenia
5
Faculty of Sports Studies, Masaryk University, 625 00 Brno, Czech Republic
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(6), 3535; https://doi.org/10.3390/ijerph19063535
Submission received: 31 January 2022 / Revised: 11 March 2022 / Accepted: 14 March 2022 / Published: 16 March 2022
(This article belongs to the Special Issue Training Modalities to Improve Sports Performance and Health)

Abstract

:
The aim of the present study was to investigate whether the physiological parameters indicative of cardiorespiratory fitness obtained during the 30-15 intermittent fitness (30-15IFT) test and the multistage laboratory treadmill endurance (TR) test differ. Nineteen elite handball players were recruited for the current study and assigned in a cross-over manner to one of two tests to be performed 48 h apart at each visit to the testing facility. The results showed that VO2max (percentage difference [PC] = 6.1%; p = 0.004) and maximal running velocity (V) (PC = 19.4%; p < 0.001) were significantly higher for the 30-15IFT test than that obtained during the TR test. Furthermore, the onset of blood lactate accumulation was shown to be significantly higher for all measures considered to predict it during 30-15IFT compared to TR as follows: VO2max (PC = 12.6%; p = 0.001), running speed (PC = 33.9%; p < 0.001), and maximal heart rate (PC = 7.5%; p < 0.001). The current study highlights the importance of sport-specific testing, particularly for measuring individual cardiorespiratory fitness in elite handball players, as TR may underestimate crucial variables used for both diagnostics and training prescription.

1. Introduction

Handball, which has been known in its current form since 1954, has developed rapidly in recent decades as an Olympic and professional sport. Handball is a game characterized by frequent role changes of teams in attack and defense [1], with specific movement patterns consisting of different types of fast and explosive muscle actions, such as jumping, forward and backward sprinting, turning, and various changes in direction, with constant changes in tempo in combination with different types of ball throwing [2,3]. The characteristic movement patterns of the players, which are repeated in the different phases of the game, have different effects on their physiological load [4,5]. In addition to anthropometric measures, ball throwing speed, and technical and tactical skills, studies have shown that players’ success depends in part on their ability to repeat short high-intensity runs [4,6]. Moreover, handball players have been shown to have a heart rate greater than 80% of their individual maximum heart rate (HRmax) during 50% of their total effective playing time [5], suggesting that cardiorespiratory fitness (CRF) is one of the most important determinants of performance in handball.
Strength and conditioning professionals in handball must be able to administer time-efficient, valid, and reliable tests to evaluate the various fitness capacities of their players. Indeed, direct measurement of CRF during a multistage laboratory treadmill endurance test (TR) is considered the “gold standard” for estimating maximal oxygen uptake (VO2max) [7]. Although not handball specific, TR is still routinely used to assess CRF in handball players [6,8,9]. However, due to its high cost, complex measurement procedures, and inability to measure more than one athlete at a time, this method is not the most appropriate for most handball teams. In addition, various blood lactate indices have been proposed to measure athletes’ ability to exercise without accumulating lactate [10]. For example, onset of blood lactate accumulation (OBLA) was found to be strongly correlated with endurance performance (r = 0.96) [11] and has been proposed as a significant predictor of running performance [12], sensitive enough to discriminate between elite and non-elite athletes [13]. Therefore, it is important for coaches to determine the running intensity at which OBLA occurs to monitor CRF performance and prescribe endurance training intensities to their athletes. However, the point at which OBLA occurs may vary when different types of exercise [14] and testing are considered [15].
In practice, various laboratory and field tests are used to determine the physiological responses of athletes to endurance exercise. The advantage of field testing is that a larger number of athletes can be assessed at the same time, which saves time and other resources. Field tests have emerged that are better adapted to the specific requirements of various sports than laboratory tests [9,16]. They allow more suitable assessment of CRF that can be more specific to the actual sport in question [17,18]. In this way, field tests have evolved in different directions in terms of modality, i.e., the continuous test (the University of Montreal track test [19]), and/or the intermittent multistage fitness test [20] or Yo-Yo test. In these tests, it is often the case that athletes with a lower maximal running velocity (V) run at higher levels of intensity just to maintain the pace of athletes with a higher V [21]. Consequently, using the Yo-Yo test to prescribe a training intensity would not be a best option [21]. The desire to solve this problem, while also improving interval training prescription in team sports, led to the development of the 30-15 Intermittent Fitness Test (30-15IFT) [22]. The 30-15IFT consists of 30 s shuttle runs interspersed with 15 s active recovery periods. At the beginning of the test, a running speed is set at 8 km/h for the first 30 s run and increased by 0.5 km/h in each 30 s phase thereafter. Subjects are required to run back and forth between two lines 40 m apart at the preset pace determined by a pre-recorded beep. The speed of the last successfully completed stage is recorded as the test result, i.e., the maximum running speed (V) during 30-15IFT (VIFT) [23]. By implementing this basic idea, the 30-15IFT is useful for assessment of cardiorespiratory fitness by providing accurate estimation of maximal oxygen uptake (VO2max), HRmax, and other components relevant to sports-related performance and training optimization, such as maximal aerobic speed and intermittent running effort recovery capacity [22]. Buchheit [16] showed that when using continuous CRF tests, running speed at maximal oxygen uptake is significantly lower than running speed at 30-15IFT, suggesting that metabolic load at 30-15IFT is much closer to loads observed during a handball match. Thus, compared to TR tests, the 30-15IFT seems to be more specific to handball match demands [9]. In addition, VIFT can be considered to be an optimal tool for individualizing short intermittent run distances in handball players [23].
The first application and validation of the 30-15IFT was performed on a sample of handball players [16]. With time and the popularization of the test, it was also used in other sports, with 30-15IFT validations conducted in basketball, field hockey, football, and rugby [16]. The mentioned studies also confirmed the high reliability of different parameters estimated from the 30-15IFT (ICC = 0.90–0.96). In practice, studies comparing the 30-15IFT with other tests (YO-YO IR1, YO-YO IR2, 20 m shuttle run test) are becoming more common to determine its validity and potential for use in different sports [16,23,24].
To date, the concurrent validity of the 30-15IFT has not been investigated in elite handball players compared with the standard continuous incremental running test. Moreover, the relationship between VO2max measured with a portable metabolic measurement system (VO2maxIFTK4) and the predicted value (VO2maxIFT) has yet to be determined. Therefore, the aim of this study was to experimentally test whether the 30-15IFT can be used as valid indicator of CRF and HRmax. We also wanted to investigate the differences between the 30-15IFT and the TR test considering a point at which OBLA occurs. This information may help coaches determine CRF and prescribe endurance training intensities for their athletes when considering different testing protocols.

2. Materials and Methods

2.1. The Experimental Approach to the Problem

All handball players performed two maximal exercise tests, one on the field (IFT30-15) and one in the laboratory (i.e., TR), to evaluate their cardiorespiratory fitness in the middle of the regular training season. During this period, athletes performed mainly tactical and technical training with handball game-specific movement patterns and physiological efforts (4 to 7 sessions), while strength and power training was performed once or twice a week. During the first visit to the testing facility, the TR was performed indoors on a treadmill, whereas the field test was performed on a standard indoor handball court with a hardwood floor. The tests were conducted with a rest period of 48 h between them. Both tests were conducted between 10 am and 11 am at an ambient temperature of 20 to 22 °C.

2.2. Participants

During the conceptualization of the study design, an a priory power analysis was conducted based on the correlation coefficient, as recommended [25]. Based on a previous study with a similar aim and design [22], we expected to find a moderate to high relationship between continuous and intermittent run tests (r = 0.76) for VO2max. Therefore, with a probability of failing to reject the null hypothesis of β = 0.2 and two-tailed α = 0.05, a minimum sample size of 11 subjects was shown to be sufficient to detect a value of ≥0.76 for r. As a result, twenty-four elite handball players (mean age: 24.2 ± 5.5 years; height 188.6 ± 6.5 cm; body mass 89.4 ± 9.4 kg; training status 12.6 ± 3.1 years) were recruited for the current study. The inclusion criteria were as follows: handball players who are members of a national team and/or play at the international level and regularly participate in European Cups, who have not had any serious injury or illness that could limit maximal performance for the six months prior to the start of the study, who have not had acute pain, and who have participated in a regular training process. To avoid unnecessary fatigue, players and coaches were instructed to avoid intense sporting activities one week before actual testing and during the study period. All subjects were informed of the benefits and potential risks of the study and provided written informed consent to participate in the current study. All procedures were conducted in accordance with the ethical standards of the 1964 Declaration of Helsinki and approved by the Ethics Committee of the Faculty of Sport (University of Ljubljana, Ljubljana, Slovenia).

2.3. Procedures

Immediately prior to testing, participants completed a standard 25 min warm-up program consisting of 10 min of self-paced jogging, 10 min of dynamic stretching, and 5 repetitions of 30 m of fast running. After the warm-up routine participants each participant performed the TR or IFT test.

2.4. Field Test

Aerobic capacity was measured using the field based 30-15IFT test, as previously recommended [23,26]. This intermittent, incremental test consists of 30 s shuttle runs interspersed with 15 s active recovery periods. Running speed was set at 8 km/h for the first 30 s run and increased by 0.5 km/h in each 30-s phase thereafter. Players were required to run back and forth between two lines 40 m apart at the preset pace determined by a pre-recorded beep. The prerecorded beep allowed players to adjust their running speed when they entered a 3 m zone in the middle and at each end of the test field. During the 15 s recovery period, players walked forward to the nearest line (either in the middle or at the end of the running area, depending on where their previous run had ended); from this line, they began the next running phase. Players were instructed to complete as many stages as possible. The test ended when the player could no longer maintain the required running speed or failed to reach the 3 m zone three consecutive times in the period before the sound signal. The speed of the last successfully completed stage was recorded as the test result, i.e., the maximum running speed (V) during 30-15IFT (VIFT) [23]. The VO2max was calculated by following equation [23]:
V O 2 m a x I F T   m l m i n k g = 28.3 2.15 G 0.741 A 0.0357 B M + 0.058 A × V I F T + 1.03 V I F T
where (G) stands for gender, (A) for age and (BM) for subjects’ body mass.

2.5. Incremental Treadmill Test

An incremental step test was performed on a treadmill (hp Cosmos Saturn, hp Cosmos, Traunstein, Germany) with a constant gradient of 1% inclination [27]. The initial velocity was set at 8 km/h and increased by 2 km/h every 4th minute until the subject was no longer able to maintain the velocity. The achievement of VO2max was identified as the plateauing of VO2 (<2.1 mL/kg/min decrease) despite an increase in workload [28]. If the above-stated criterion was not fulfilled, the participants were asked to perform a further constant-speed test equal or higher than the highest speed achieved at the end of the incremental test, as recommended [29]. Throughout the test, respiratory gases were continuously measured breath-by-breath and reduced to 10 s averages [30]. The rest period between different stages was 1 min, which was used to take lactate samples. The last running velocity reached during the test was defined as VTR.

2.6. Maximum Aerobic Performance, Heart Rate and Blood Sampling Testing Equipment

A portable gas analyzer K4b2 (COSMED, Rome, Italy) was used to obtain physiological parameters. The device provides reliable values for oxygen uptake (O2), carbon dioxide production (CO2), and pulmonary ventilation (VE) breath-by-breath [31,32]. In addition, blood samples (20 μL) were collected from the earlobe for both tests and the samples were analyzed for blood lactate concentration (LA-) using a Kodak EKTACHROME analyzer. However, due to the different natures of the tests performed, blood samples were collected at the following intervals:
30-15IFT test: before the test (T1); at running speeds of 9 km/h (T2), 10.5 km/h (T3), 12 km/h (T3), 13.5 km/h (T4), 15 km/h (T5), 16.5 km/h (T6), 18 km/h (T7), 19.5 km/h (T8), 21 km/h (T9), and 22.5 km/h (T10); and at 3rd (T11) and 5th (T12) minutes after the end of the test.
TR test: before the test (T1); at running speeds of 10 km/h (T2), 12 km/h (T3), 14 km/h (T3), 16 km/h (T4), and 18 km/h (T5); and at 3rd (T6) and 5th (T7) minutes after the end of the test.
Simultaneously, a heart rate was measured by Polar S-610 heart rate pulse-meters (Polar Electro, Kempele, Finland). The data were recorded in 5 s intervals and automatically analyzed using the original Polar software. The OBLA that is the running speed corresponding to the [LA] of 4 mmol/L was detected by interpolation from the [LA]–running speed relationship curve [33].

2.7. Statistical Analysis

All data are presented as mean ± SD and 95% confidence intervals. Statistical analyses were undertaken with SPSS statistical software (version 27, IBM corp., Chicago, IL, USA). Normality was confirmed by visual inspection and using the Shapiro–Wilk test. The paired Student’s t test was used to compare physiological data obtained by laboratory and field-based tests. One-way ANOVA was used to compare the VO2max values obtained on TR (VO2maxTR), VO2maxIFTK4, and VO2maxIFT. Hedges’ g effect sizes (ES) with 95% confidence intervals were calculated to show practical differences between legs and were interpreted as: trivial: <0.20, small: 0.20–0.50, moderate: 0.50–0.80, or large: >0.80 [34]. Bland–Altman analysis was used to determine absolute limits of agreement between (a) VO2maxTR and VO2maxIFTK4; (b) VO2maxIFTK4 and VO2maxIFT; and (c) VTR and VIFT. In addition, a Pearson correlation coefficient was used to evaluate the association between VO2max variables obtained from TR and IFT tests, whereas Spearman’s rank-order correlation was used if the assumption of normality of data distribution was violated. The following thresholds of the correlation coefficient were used to assess the magnitude of the relationships analyzed: weak ≤ 0.35; 0.36 ≤ moderate < 0.67; 0.68 ≤ high < 1 [35]. A level of significance for all analyses was accepted at p ≤ 0.05.

3. Results

Nineteen players (five backcourts, seven wings, and seven line/pivots) completed both testing protocols and were included in a final analysis. Table 1 shows the comparison of the main physiological parameters obtained during TR and 30-15IFT tests. The results showed that VO2max (percentage difference [PC] = 6.1%; t = 3.342; p = 0.004) and maximal running velocity (PC = 19.4%; t = 12.669; p < 0.001) were significantly higher for 30-15IFT than that obtained during TR test. Moreover, OBLA was shown to be significantly higher for all measures considered to predict its onset during 30-15IFT compared to TR as follows: VO2max (PC = 12.6%; t = 4.421; p = 0.001), running velocity (PC = 33.9%; t = 15.484; p < 0.001), heart rate (PC = 7.5%; t = 6.348; p < 0.001), and respiratory exchange ratio (PC = 7%; t = 3.372; p = 0.003).
Figure 1 indicates a significant difference between VO2maxTR, VO2maxIFTK4, and VO2maxIFT (F2 = 5.398; p = 0.007). Post hoc comparison showed that VO2max was significantly lower for TR than that obtained during 30-15IFT measured with a gas analyzer i.e., IFTK4 (PC = 6.1%, p = 0.007), but had only a trend towards significance when compared to the predicted value from the IFT result (PC = 4.4%, p = 0.074).
In addition, the variations in the differences between the two tests were significant and did not fell within the limits of agreement for VO2maxTR and VO2maxIFTK4 (Figure 2A; LOA 95% = −10.97 to 4.80), VO2maxIFTK4 and VO2maxIFT (Figure 2B; LOA 95% = −2.31 to 3.99), and VTR and VIFT (Figure 2C; LOA 95% = −5.33 to −1.04). Furthermore, significant positive correlations between VO2maxTR and VO2maxIFT (moderate r = 0.512, p = 0.025), and VO2maxIFTK4 and VO2maxIFT (high r = 0.715, p = 0.001) were found, whereas correlations between VTR and VIFT (weak rs = 0.314, p = 0.191), and VO2maxTR and VO2maxIFTK4 were not significant (weak r = 0.339, p = 0.155).

4. Discussion

The primary aim of the study was to compare physiological parameters obtained during TR and 30-15IFT tests in elite handball players. In addition, a concurrent validity and correlation analysis was performed between determined VO2max and V values. Considering the characteristics of handball [1] and the principles of training specificity and adaptation, we hypothesized that the 30-15IFT test provides better insight into the physiological parameters of handball players than the traditional TR test.
The results showed that the values for V and VO2max were significantly higher in 30-15IFT than in the TR test. V values obtained are consistent with previously reported results, showing between 2 and 5 km/h higher running speed during 30-15IFT than those achieved during the TR test [16]. Later results suggest that the 30-15IFT is a sensitive tool for detecting changes in V during performance monitoring. In addition, similar trends in VO2max difference estimates have been reported for female soccer players [36], female basketball players [37], and male team sports athletes [22]. There are two main reasons that may explain the discrepancies observed. First and foremost, the 30-15IFT is a field test that assesses change in direction ability, inter-effort recovery ability, and anaerobic capacity in addition to CRF [16], and is more similar to the handball game than a TR test, which uses a continuous running protocol. Furthermore, group testing, as performed in team sports during the 30-15IFT test, has been shown to increase task motivation [38]. In addition, our results demonstrated that HRmax values tend to be higher during 30-15IFT, confirming previous findings [22,36,37], although with lack of statistical significance. This is not surprising, because sport-specific tests often result in higher HRmax values, as shown in other sports such as soccer, tennis, and squash [39,40,41].
When comparing OBLA, the estimated values differ significantly between TR and 30-15IFT. OBLA was found to be significantly higher for all measures used to predict it during 30-15IFT compared with TR. The observed differences can be explained by the protocols used, which comprise intermittent versus continuous endurance testing. The unique feature of 30-15IFT is that the running bouts are interrupted by a 15 s active rest, which enables athletes to partially resynthesize the energy substrates used for both the anaerobic (i.e., ATP and CP) and aerobic components of intermittent running performance (i.e., myoglobin functioning) [42]. Essen and colleagues showed that ATP and CP levels fluctuated between work and rest phases during the intermittent running protocol, but did not resynthesize to initial levels. In addition, myoglobin functioning, which acts as an oxygen store, was found to be an important factor in delaying OBLA, the time when anaerobic metabolism becomes dominant during maximal endurance testing. It appears that a 15 s rest period can delay the onset of fatigue, allowing athletes to achieve a 19.4% higher V during 30-15IFT compared to TR.
To the best of the authors’ knowledge, this is the first study to report objectively measured and estimated 30-15IFT VO2max values. Although several studies have shown that 30-15IFT is reliable, valid, and useful [36,43], no author has compared the objectively measured VO2max values and those calculated according to the formula proposed by Buchheit [23].
We found moderate and high correlations between 30-15IFT and TR and 30-15IFT and 30-15IFT4K VO2max values, respectively, whereas 30-15IFT4K and TR values had a weak, non-significant correlation. These results confirm our hypothesis that the 30-15IFT test can provide better insight into the physiological parameters of handball players than the traditional TR test, due to its similarity to handball play. This was further supported by the significant difference between TR and the 30-15IFT VO2max values, which underestimated VO2max by up to 6.1% during the continuous endurance test.
This study highlights the importance of sport-specific testing, particularly for measuring individual CRF. As noted by Basset and Boulay [44], VO2max is highly dependent on the type of test. For example, runners are usually tested on a treadmill and cyclists on a cycle ergometer because of this specific adaptation. The 30-15IFT test takes into account various qualities required in shuttle intermittent runs, such as lower limb power, aerobic qualities, and the ability to recover between subsequent sets of running bouts [16], and plays a very important role in diagnostics, training prescription, and optimization in handball.
We are aware that our study may have some limitations. Although we used a reliable and valid multistage laboratory testing protocol to assess CRF, it may not be the most appropriate protocol to compare physiological strain at different levels of running intensity with 30-15IFT.

5. Conclusions

We found that the variations in the differences between two graded treadmills and IFT were significant and did not fall within the limits of agreement. In addition, the results showed that the values for maximum running velocity and VO2max were significantly higher in the 30-15IFT test than in the TR test. Therefore, the current study highlights the importance of sport-specific testing, particularly for measuring individual cardiorespiratory fitness in elite handball players, as TR may underestimate crucial variables used for both diagnosis and training prescription.

Author Contributions

U.M. and M.S. conceived the study, participated in its design, carried out the experiments. A.H.P. performed the data processing and statistical analysis, and drafted the manuscript with U.M., E.A. and S.J. All authors have read and agreed to the published version of the manuscript.

Funding

This project was supported by the Slovenian Research Agency (ARRS) (project ID: P5-0147 entitled “The kinesiology of mono-structured, poly-structured and conventional sports,” project manager: Prof. Dr. Matej Supej).

Institutional Review Board Statement

The study protocol was reviewed and received full ethical clearance.

Informed Consent Statement

Each participant provided written, informed consent to participate in the study.

Data Availability Statement

All data generated are available within the present manuscript.

Acknowledgments

We would like to thank for all subjects involved in study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Šibila, M.; Vuleta, D.; Pori, P. Position-Related Differences in Volume and Intensity of Large-Scale Cyclic Movements of Male Players in Handball. Kinesiology 2004, 36, 58–68. [Google Scholar]
  2. Massuça, L.M.; Fragoso, I.; Teles, J. Attributes of Top Elite Team-Handball Players. J. Strength Cond. Res. 2014, 28, 178–186. [Google Scholar] [CrossRef] [PubMed]
  3. Jorgen, I.; Jeffreys, I.; Stein, R. Physical characteristics and abilities of junior elite male and female handball players. J. Strength Cond. Res. 2013, 27, 302–309. [Google Scholar]
  4. Krüger, K.; Pilat, C.; Ückert, K.; Frech, T.; Mooren, F.C. Physical Performance Profile of Handball Players Is Related to Playing Position and Playing Class. J. Strength Cond. Res. 2014, 28, 117–125. [Google Scholar] [CrossRef] [PubMed]
  5. Póvoas, S.C.A.; Ascensão, A.A.M.R.; Magalhães, J.; Seabra, A.F.; Krustrup, P.; Soares, J.M.C.; Rebelo, A.N.C. Physiological Demands of Elite Team Handball With Special Reference to Playing Position. J. Strength Cond. Res. 2014, 28, 430–442. [Google Scholar] [CrossRef] [PubMed]
  6. Michalsik, L.B.; Madsen, K.; Aagaard, P. Physiological capacity and physical testing in male elite team handball. J. Sports Med. Phys. Fit. 2015, 55, 415–429. [Google Scholar]
  7. Albouaini, K.; Egred, M.; Alahmar, A.; Wright, D.J. Cardiopulmonary exercise testing and its application. Postgrad. Med. J. 2007, 83, 675–682. [Google Scholar] [CrossRef]
  8. Pontaga, I.; Zidens, J. Comparison of Latvian Qualified Basketball and Handball Players Performance. Soc. Integr. Educ. Proc. Int. Sci. Conf. 2018, 4, 211–221. [Google Scholar] [CrossRef] [Green Version]
  9. Wagner, H.; Sperl, B.; Bell, J.W.; von Duvillard, S.P. Testing Specific Physical Performance in Male Team Handball Players and the Relationship to General Tests in Team Sports. J. Strength Cond. Res. 2019, 33, 1056–1064. [Google Scholar] [CrossRef]
  10. Ghosh, A.K. Anaerobic threshold: Its concept and role in endurance sport. Malays. J. Med. Sci. 2004, 11, 24–36. [Google Scholar]
  11. Karlsson, J.; Jacobs, I. Onset of Blood Lactage Accumulation during Muscular Exercise as a Threshold Concept. I. Theoretical considerations. Int. J. Sports Med. 1982, 3, 190–201. [Google Scholar] [CrossRef] [PubMed]
  12. Tanaka, K. Lactate-related factors as a critical determinant of endurance. Ann. Physiol. Anthropol. 1990, 9, 191–202. [Google Scholar] [CrossRef] [Green Version]
  13. Santos-Concejero, J.; Granados, C.; Irazusta, J.; Bidaurrazaga-Letona, I.; Zabala-Lili, J.; Tam, N.; Gil, S.M. OBLA is a better predictor of performance than Dmax in long and middle-distance well-trained runners. J. Sports Med. Phys. Fit. 2014, 54, 553–558. [Google Scholar]
  14. Figueira, T.R.; Caputo, F.; Pelarigo, J.G.; Denadai, B.S. Influence of exercise mode and maximal lactate-steady-state concentration on the validity of OBLA to predict maximal lactate-steady-state in active individuals. J. Sci. Med. Sport 2008, 11, 280–286. [Google Scholar] [CrossRef]
  15. Denadai, B.S.; Gomide, E.B.G.; Greco, C.C. The relationship between onset of blood lactate accumulation, critical velocity, and maximal lactate steady state in soccer players. J. Strength Cond. Res. 2005, 19, 364–368. [Google Scholar] [CrossRef]
  16. Buchheit, M. The 30-15 Intermittent Fitness Test: 10 year review The 30-15 Intermittent Fitness Test: 10 year review. Myorobie J. 2010, 1, 1–9. [Google Scholar]
  17. Kilding, A.E.; Aziz, A.R.; Teh, K.C. Measuring and predicting maximal aerobic power in international-level intermittent sport athletes. J. Sports Med. Phys. Fit. 2006, 46, 366–372. [Google Scholar]
  18. Chirico, E.; Tessitore, A.; Demarie, S. Physiological swimming test for water polo players in the last twenty years: A systematic review. J. Sports Med. Phys. Fit. 2021. [Google Scholar] [CrossRef]
  19. Léger, L.; Boucher, R. An indirect continuous running multistage field test: The Université de Montréal track test. Can. J. Appl. Sport Sci. 1980, 5, 77–84. [Google Scholar]
  20. Léger, L.A.; Mercier, D.; Gadoury, C.; Lambert, J. The multistage 20 metre shuttle run test for aerobic fitness. J. Sports Sci. 1988, 6, 93–101. [Google Scholar] [CrossRef]
  21. Thomas, C.; Dos’Santos, T.; Jones, P.A.; Comfort, P. Reliability of the 30-15 Intermittent Fitness Test in Semiprofessional Soccer Players. Int. J. Sports Physiol. Perform. 2016, 11, 172–175. [Google Scholar] [CrossRef] [PubMed]
  22. Buchheit, M.; Al Haddad, H.; Millet, G.P.; Lepretre, P.M.; Newton, M.; Ahmaidi, S. Cardiorespiratory and cardiac autonomic response to 30-15 IFT in team sport players. J. Strength Cond. Res. 2009, 23, 93–100. [Google Scholar] [CrossRef] [PubMed]
  23. Buchheit, M. The 30-15 Intermittent Fitness Test: Accuracy for Individualizing Interval Training of Young Intermittent Sport Players. J. Strength Cond. Res. 2008, 22, 365–374. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Buchheit, M.; Lefebvre, B.; Laursen, P.B.; Ahmaidi, S. Reliability, Usefulness, and Validity of the 30-15 Intermittent Ice Test in Young Elite Ice Hockey Players. J. Strength Cond. Res. 2011, 25, 1457–1464. [Google Scholar] [CrossRef] [PubMed]
  25. Hulley, S.B.; Cummings, S.R.; Browner, W.S.; Grady, D.G.; Newman, T.B. Designing Clinical Research: An Epidemiologic Approach. In Replication and Evidence Factors in Observational Studies, 4th ed.; Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2013; pp. 1–381. [Google Scholar]
  26. Mohorič, U.; Šibila, M.; Štrumbelj, B. Positional differences in some physiological parameters obtained by the incremental field endurance test among elite handball players. Kinesiology 2021, 53, 3–11. [Google Scholar] [CrossRef]
  27. Jones, A.M.; Doust, J.H. A 1% treadmill grade most accurately reflects the energetic cost of outdoor running. J. Sports Sci. 1996, 14, 321–327. [Google Scholar] [CrossRef]
  28. Poole, D.C.; Richardson, R.S. Determinants of oxygen uptake: Implications for exercise testing. Sport Med. 1997, 24, 308–320. [Google Scholar] [CrossRef]
  29. Rossiter, H.B.; Kowalchuk, J.M.; Whipp, B.J. A test to establish maximum O2 uptake despite no plateau in the O2 uptake response to ramp incremental exercise. J. Appl. Physiol. 2006, 100, 764–770. [Google Scholar] [CrossRef]
  30. Borszcz, F.K.; Tramontin, A.F.; de Souza, K.M.; Carminatti, L.J.; Costa, V.P. Physiological Correlations With Short, Medium, and Long Cycling Time-Trial Performance. Res. Q. Exerc. Sport 2018, 89, 120–125. [Google Scholar] [CrossRef]
  31. Schrack, J.A.; Simonsick, E.M.; Ferrucci, L. Comparison of the Cosmed K4b2 Portable Metabolic System in Measuring Steady-State Walking Energy Expenditure. PLoS ONE 2010, 5, e9292. [Google Scholar] [CrossRef] [Green Version]
  32. McLaughlin, J.E.; King, G.A.; Howley, E.T.; Bassett, J.D.R.; Ainsworth, B.E. Validation of the COSMED K4 b2 Portable Metabolic System. Endoscopy 2001, 22, 280–284. [Google Scholar] [CrossRef] [PubMed]
  33. Usaj, A.; Starc, V. Blood pH and lactate kinetics in the assessment of running endurance. Int. J. Sports Med. 1996, 17, 34–40. [Google Scholar] [CrossRef] [PubMed]
  34. Lovakov, A.; Agadullina, E.R. Empirically derived guidelines for effect size interpretation in social psychology. Eur. J. Soc. Psychol. 2021, 51, 485–504. [Google Scholar] [CrossRef]
  35. Taylor, R. Interpretation of the Correlation Coefficient: A Basic Review. J. Diagn. Med. Sonogr. 1990, 6, 35–39. [Google Scholar] [CrossRef]
  36. Čović, N.; Jelešković, E.; Alić, H.; Rado, I.; Kafedžić, E.; Sporiš, G.; McMaster, D.T.; Milanović, Z. Reliability, validity and usefulness of 30-15 intermittent fitness test in female soccer players. Front. Physiol. 2016, 7, 510. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Jeličić, M.; Ivančev, V.; Cular, D.; Čović, N.; Stojanović, E.; Scanlan, A.T.; Milanović, Z. The 30-15 Intermittent Fitness Test: A Reliable, Valid, and Useful Tool to Assess Aerobic Capacity in Female Basketball Players. Res. Q. Exerc. Sport 2019, 91, 83–91. [Google Scholar] [CrossRef]
  38. Irwin, B.C.; Scorniaenchi, J.; Kerr, N.L.; Eisenmann, J.C.; Feltz, D.L. Aerobic Exercise Is Promoted when Individual Performance Affects the Group: A Test of the Kohler Motivation Gain Effect. Ann. Behav. Med. 2012, 44, 151–159. [Google Scholar] [CrossRef]
  39. Póvoas, S.C.A.; Krustrup, P.; Pereira, R.; Vieira, S.; Carneiro, I.; Magalhães, J.; Castagna, C. Maximal heart rate assessment in recreational football players: A study involving a multiple testing approach. Scand. J. Med. Sci. Sports 2019, 29, 1537–1545. [Google Scholar] [CrossRef]
  40. Girard, O.; Sciberras, P.; Habrard, M.; Hot, P.; Chevalier, R.; Millet, G. Specific incremental test in elite squash players. Br. J. Sports Med. 2005, 39, 921–926. [Google Scholar] [CrossRef]
  41. Girard, O.; Chevalier, R.; Leveque, F.; Micallef, J.P.; Millet, G.P. Specific incremental field test for aerobic fitness in tennis. Br. J. Sports Med. 2006, 40, 791–796. [Google Scholar] [CrossRef]
  42. Essén, B.; Hagenfeldt, L.; Kaijser, L. Utilization of blood-borne and intramuscular substrates during continuous and intermittent exercise in man. J. Physiol. 1977, 265, 489–506. [Google Scholar] [CrossRef] [PubMed]
  43. Scott, T.J.; Delaney, J.A.; Duthie, G.; Sanctuary, C.E.; Ballard, D.A.; Hickmans, J.A.; Dascombe, B.J. Reliability and Usefulness of the 30-15 Intermittent Fitness Test in Rugby League. J. Strength Cond. Res. 2015, 29, 1985–1990. [Google Scholar] [CrossRef] [PubMed]
  44. Basset, F.A.; Boulay, M.R. Specificity of treadmill and cycle ergometer tests in triathletes, runners and cyclists. Eur. J. Appl. Physiol. Occup. Physiol. 2000, 81, 214–221. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Comparison of VO2max values obtained by the continuous treadmill test (VO2maxTR), 30-15IFT measured by a portable metabolic analyzer (VO2maxIFTK4), and the 30-15IFT proposed calculation (VO2maxIFT).
Figure 1. Comparison of VO2max values obtained by the continuous treadmill test (VO2maxTR), 30-15IFT measured by a portable metabolic analyzer (VO2maxIFTK4), and the 30-15IFT proposed calculation (VO2maxIFT).
Ijerph 19 03535 g001
Figure 2. Bland–Altman plots comparing VO2maxTR and VO2maxIFTK4 (A); VO2maxIFTK4 and VO2maxIFT (B); VTR and VIFT (C).
Figure 2. Bland–Altman plots comparing VO2maxTR and VO2maxIFTK4 (A); VO2maxIFTK4 and VO2maxIFT (B); VTR and VIFT (C).
Ijerph 19 03535 g002
Table 1. Comparison of main physiological parameters obtained during continuous treadmill test and 30-15IFT test.
Table 1. Comparison of main physiological parameters obtained during continuous treadmill test and 30-15IFT test.
Treadmill Test30-15IFT Test
MeanSDMeanSDPC %Hedges’ gLLCIULCIt Valuep Value
VO2max (mL/kg/min)50.894.2453.981.973.096.10.75(0.24 to 1.25)3.3420.004
Maximal running speed (km/h)16.421.2619.610.923.1819.42.85(1.82 to 3.86)12.6690.000
Maximal heart rate (bpm)183.958.46184.849.030.890.50.20(−0.25 to 0.64)0.8920.384
Respiratory exchange ratio1.070.201.050.16−0.03−2.3−0.20(−0.64 to 0.25)−0.9000.380
Maximal lactate during test (mmol/L) 10.143.638.943.12−1.21−11.9−0.26(−0.71 to 0.19)−1.1740.256
Lactate at 3 min after test10.242.768.613.05−1.63−16.0−0.53(−1.00 to -0.03)−2.2820.036
Lactate at 5 min after test9.733.208.413.27−1.33−13.6−0.40(−0.86 to 0.08)−1.7240.103
OBLA based on VO2max (mL/kg/min) 42.164.8347.455.635.3012.60.95(0.40 to 1.47)4.2100.001
OBLA based on running speed (km/h)12.951.3417.341.354.3933.93.48(2.26 to 4.68)15.4840.000
OBLA based on HR (bpm)163.8911.40176.268.9612.377.51.43(0.78 to 2.05)6.3480.000
OBLA based on RER0.900.120.970.100.067.00.76(0.25 to 1.25)3.3720.003
HR at 3 min after test (bpm)121.2613.11118.6314.55−2.63−2.2−0.18(−0.62 to 0.27)−0.7800.446
HR at 5 min after test (bpm)107.4710.84109.6311.702.162.00.20(−0.25 to 0.64)0.8740.394
∆—difference in means between continuous VO2max and 30-15IFT tests; PC—percentage difference; LLCI—lower limit confidence interval; ULCI—upper limit confidence interval; OBLA—onset of blood lactate accumulation; HR—heart rate; bpm—beats per minute; RER—respiratory exchange ratio.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Mohoric, U.; Sibila, M.; Abazovic, E.; Jovanovic, S.; Paravlic, A.H. Comparison of the Field-Based Intermittent Running Fitness Test 30-15 and the Treadmill Multistage Incremental Test for the Assessment of Cardiorespiratory Fitness in Elite Handball Players. Int. J. Environ. Res. Public Health 2022, 19, 3535. https://doi.org/10.3390/ijerph19063535

AMA Style

Mohoric U, Sibila M, Abazovic E, Jovanovic S, Paravlic AH. Comparison of the Field-Based Intermittent Running Fitness Test 30-15 and the Treadmill Multistage Incremental Test for the Assessment of Cardiorespiratory Fitness in Elite Handball Players. International Journal of Environmental Research and Public Health. 2022; 19(6):3535. https://doi.org/10.3390/ijerph19063535

Chicago/Turabian Style

Mohoric, Uros, Marko Sibila, Ensar Abazovic, Sasa Jovanovic, and Armin H. Paravlic. 2022. "Comparison of the Field-Based Intermittent Running Fitness Test 30-15 and the Treadmill Multistage Incremental Test for the Assessment of Cardiorespiratory Fitness in Elite Handball Players" International Journal of Environmental Research and Public Health 19, no. 6: 3535. https://doi.org/10.3390/ijerph19063535

APA Style

Mohoric, U., Sibila, M., Abazovic, E., Jovanovic, S., & Paravlic, A. H. (2022). Comparison of the Field-Based Intermittent Running Fitness Test 30-15 and the Treadmill Multistage Incremental Test for the Assessment of Cardiorespiratory Fitness in Elite Handball Players. International Journal of Environmental Research and Public Health, 19(6), 3535. https://doi.org/10.3390/ijerph19063535

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop