Tom Brandt
Cindy Ebel
Christopher Lebahn
Annette Schmidt
95% of researchers rate our articles as excellent or good
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.
Find out more
- Institute of Sports Science, University of the Bundeswehr Munich, Neubiberg, Germany
Aims: Hyrox© is a fitness modality combining 8 functional exercises with running in a comprehensive competition format. Within this first scientific study on Hyrox©, acute physiological responses, relative perceived exertion (RPE), and possible performance determinants were assessed during a simulated Hyrox© competition to derive training recommendations and potential practical applications.
Methods: Eleven recreational Hyrox© athletes [27% women, Hyrox© experience median (interquartile range): 18 (19) months] participated. In a pre-test, height, body composition, hand grip strength (HGS), maximum oxygen consumption (VO2max), and volume of resistance and endurance training were assessed. After 48 h rest, a simulated Hyrox© was conducted according to the competition-standards of the “Individual Open Division”. Heart rate (HR) was tracked throughout the Hyrox©. Blood lactate (BL) and RPE were recorded at the beginning and after each run and exercise station. Differences between runs and exercise stations for HR, BL, and RPE were analyzed via Wilcoxon signed rank test. Spearman’s rank correlation test was conducted to identify associations between completion times (Hyrox©, runs, exercise stations) and participant characteristics. Values are given as median (interquartile range).
Results: Completion time of the Hyrox© was 86.5 (14.5) minutes, whereby runs (51.2 (14.1) minutes) were significantly longer than the exercise stations [32.8 (6.1) minutes] (p = 0.003). Most of the Hyrox© was performed at very hard and hard intensities [79.5 (21)% and 19.6 (20.7)% of maximum HR]. Maximum BL was higher during the exercise stations [8.5 (5.4) mmol/L] compared to the runs (7.7 (4.6) mmol/L) (p = 0.006). Similar results were found for maximum RPE [exercise stations: 18 (2), runs: 16 (2), p = 0.003]. The highest values for HR, BL, and RPE occurred during the last exercise (wall balls). The exercise stations with the heaviest loads were completed the fastest [sled push: 128 (34) seconds, sled pull: 155 (38) seconds]. Faster Hyrox© completion correlated significantly with higher VO2max (p = 0.01), greater endurance training volume (p = 0.04), and lower body fat percentage (p = 0.03).
Conclusion: Hyrox© is a HIFT modality with an emphasis on endurance capacity and moderate to low requirements in terms of maximum strength, coordination, and mobility when compared to other forms HIFT. Hyrox© may be suitable for health promotion and tactical population training.
1 Introduction
High-intensity interval training (HIIT), strength training with free weights, bodyweight training, and functional fitness training (FFT) have been ongoing trends for years and were among the top 10 trends in the fitness industry in 2023 (Thompson, 2023). Fitness racing such as Hyrox© (Upsolut Sports GmbH, Hamburg, Germany) is a new fitness domain combining elements of these training modalities in a comprehensive competition format (Bergmann, 2024). Similar to CrossFit© (CF) (CrossFit, Inc., Washington, DC, United States) – one of the most popular FFT concepts – Hyrox© also incorporates elements of gymnastics, weightlifting, and endurance sports (Glassman, 2020). In contrast to CF, a Hyrox© competition always consists of the same 8 exercises (ski ergometer, sled push, sled pull, burpee broad jump, rowing ergometer, farmers carry, sandbag lunges, and wall balls) and 8 runs [each 1,000 meters (m)]. Runs and exercises are completed alternately one after the other, whereby the competition always starts with a run. Weights and distances of the exercises are adjusted based on gender, division, and mode (e.g., Individual Open, Individual Pro, Double, Relay), allowing athletes of varying fitness levels to participate. The first Hyrox© competition took place in 2017. Considering that in the 2022/2023 season already 90,000 Hyrox© athletes worldwide competed despite the corona pandemic, a further increase in popularity could be expected (Bergmann, 2024). Nevertheless, Hyrox© is not represented in the scientific literature up to date. Accordingly, little is known about acute physiological responses and performance determinants. However, this information is essential for developing effective training programs and exploring potential application areas of Hyrox© beyond competitive sport. Indeed, previous research on other sports respectively training concepts that appear to be closely related to Hyrox© such as CF, concurrent training (CT), and running may provide some insight in this regard.
Looking at CF, there is a considerable amount of research providing information for coaches, athletes, and health professionals in terms of physiological and psychological demands, performance predictors, injury rates, health benefits, and motivational aspects (Claudino et al., 2018; Dexheimer et al., 2019; Ángel Rodríguez et al., 2022; Brandt et al., 2024; Dominski et al., 2021). Regarding health and fitness, previous research showed that CF improves cardiovascular fitness, body composition, mobility, strength, and back health, while being associated with a low injury risk (1.9 – 3.2 injuries per 1000 hours [h]) (Gianzina and Kassotaki, 2019; Brandt et al., 2024; Hak et al., 2013). In terms of performance, it was demonstrated that a lower body fat percentage, higher total body strength, and maximum oxygen consumption (VO2max) correlated with better CF performance (Meier et al., 2023a). However, the investigated CF workouts (e.g., Fran, Cindy, Isabel, Murph) were considerably shorter than a Hyrox© competition (Ahmad et al., 2018; Rios et al., 2024a; Rios et al., 2024b; Carreker and Grosicki, 2020). The single study on physiological demands covering longer bouts of CF was conducted over the course of regular 60-minute [min] CF training sessions (Meier et al., 2023b). This limits the extent to which conclusions could be derived about the physiological demands of Hyrox©. Unlike CF, which emphasizes constantly varied functional movements, Hyrox© places a greater focus on running, with a total of 8 kilometers [km] per competition and less exercise variety (Bergmann, 2024; Glassman, 2020).
On endurance exercise such as running, extensive research has been carried out in a large number of different populations with regard to physiological demands, health benefits, or injury patterns. Performance in Olympic endurance events is typically achieved at intensities exceeding 85% of the VO2max. Joyner and Coyle concluded that endurance athletes need to be relatively fatigue resistant at intensities that stimulate significant anaerobic metabolism (Joyner and Coyle, 2008). The most important factors especially for running performance therefore include maximal oxygen uptake (VO2max), lactate threshold, and running economy (Joyner, 1991). Regarding health benefits, a meta-analysis with a pooled sample of N = 232,149 participants showed that running is associated with a 27%, 30%, and 23% reduced risk of all-cause, cardiovascular, and cancer mortality (Pedisic et al., 2020). Lee et al. stated that, from a public health perspective, running could be the most cost-effective lifestyle medicine, exceeding the importance of risk factors like smoking, obesity, hypertension, or diabetes (Lee et al., 2017). Nevertheless, running is associated with an injury risk of 6.8–59 injuries per 1,000 h whereby history of previous injuries, mileage but also training volume and frequency need to be considered to prevent injury (Saragiotto et al., 2014; Fields et al., 2010). While research on endurance exercise – and in particular running – provides indications regarding the demands and effects of Hyrox©, the specific characteristics of Hyrox© (e.g., integration of functional exercises) might lead to divergent findings.
Besides running, Hyrox© includes exercises such as sled pushes (men: 202 kilograms [kg], women: 152 kg) and sled pulls (men: 153 kg, women: 103 kg) where heavy external weights need to be moved (Bergmann, 2024). This suggests that Hyrox© training regimes should also include resistance training to some extent. Notably, resistance training may not only improve competition performance but health (e.g., reducing cardiovascular disease, hypertension, all-cause-mortality, and the offset of age-related declines in strength, power, and muscle mass) (Fyfe et al., 2022). Nevertheless, implementation of additional strength training needs to be done with caution because volume and frequency are critical risk factors for injury (Saragiotto et al., 2014; Fields et al., 2010). Furthermore, previous research in the field of CT showed that combining resistance and endurance training poses a challenge, as the specific adaptations from each type of training may potentially interfere with one another. Therefore, to manage overall fatigue, reduce negative interferences, and avoid injuries, knowing the specific demands of Hyrox© in terms of strength and endurance capacity is essential according to CT research (Methenitis, 2018; Wilson et al., 2012).
However, no scientific studies to date have investigated Hyrox© in this respect, making it difficult to develop evidence-based training programs or identify potential benefits and practical applications beyond competitive sports. Therefore, this study analyzed the acute physiological responses as well as potential performance predictors in Hyrox© athletes during a simulated Hyrox© competition.
2 Materials and methods
2.1 Trial overview
This study was conducted at the University of the Bundeswehr Munich (UniBw M). Participants attended 2 separate test sessions – a pre-test and a simulated Hyrox© competition. The simulated Hyrox© was performed 2–14 days after the pre-test. The Institutional Ethics Committee of the UniBw M approved the study protocol, ensuring that it conformed to the ethical guidelines of the 1975 Declaration of Helsinki. Informed consent was obtained from all subjects involved in the study (08.02.2024; EK UniBw M 24-05). An overview of the trial is displayed in Figure 1.
Figure 1
Figure 1. Trial overview.
2.2 Participants
The study involved recreational Hyrox© athletes (N = 11, 27% women, Hyrox© experience: 18 (19) months) who were at least 18 years old and had participated in at least one official Hyrox© competition prior to the study. Exclusion criteria were health issues that would preclude participation in the applied tests (e.g., cardiovascular diseases, respiratory disorders, severe injuries to the musculoskeletal system, osteoporosis, intervertebral disc damage, joint replacements, hypertension). No adverse events occurred during the test sessions. Participant characteristics are displayed in Table 1.
Table 1
Table 1. Characteristics of participants.
2.3 Procedure
2.3.1 Pre-test
The aim of the pre-test was to collect measures of body composition, strength, cardiorespiratory fitness, and training status. Participants were instructed to avoid any intensive physical activity 48 h, alcohol consumption 24 h, and food intake 3 h prior the test. Moreover, they should not drink more than 500 mL of water 30 min before the measurement and empty their bladder. The pre-test comprised a questionnaire, bioelectrical impedance analysis (BIA), hand grip strength (HGS) test, and cardiopulmonary exercise test on a treadmill (CPET).
2.3.1.1 Questionnaire
Participants were asked for their gender and age [years], hours of resistance as well as endurance training per week [h/wk], and Hyrox© experience in months.
2.3.1.2 Body composition and height
Height [cm], weight [kg], and body composition (body fat percentage [%] and muscle mass percentage [%]) were measured in underwear. Height was assessed with a SECA® 213 (seca GmbH and Co. KG, Hamburg, Germany) and body composition with a SECA® mBCA 515 scale (seca GmbH and Co. KG, Hamburg, Germany). According to Bosy-Westphal et al., the SECA® mBCA 515 is a valid and precise tool to estimate body composition (Bosy-Westphal et al., 2017; Bosy-Westphal et al., 2013).
2.3.1.3 Hand grip strength test
HGS was measured with the Baseline® Smedley Digital hand-held dynamometer (Fabrication Enterprises, New York, United States) and given in kg. For the measurement, participants sat upright on a chair with their feet on the ground and a 90° angle in their knee joint. The elbow was flexed at 90° with the fingertips pointed ventrally and the palm facing medially. Starting with the dominant hand, participants were instructed to squeeze the dynamometer as hard as they could for 5 seconds [sec]. Each hand was measured thrice with 30 s of rest between trials, whereby the highest of all 6 measures was used for the analysis. HGS strongly correlates with strength in other muscle groups and can be used as a predictor for total muscle strength (Wind et al., 2010). Furthermore, since Hyrox© is a fitness racing modality including exercises that require athletes to hold and pull external loads during sled pulls and farmers carry, HGS could influence performance.
2.3.1.4 Cardiopulmonary exercise test
The participants performed an incremental exercise test on a h/p/cosmos pulsar® 3p treadmill (h/p/cosmos, Traunstein, Germany). Women started at 6 km/h and men at 7 km/h, both at an incline of 1%. The speed was increased by 1 km/h every 3 min until participants were unable to maintain running pace. As proposed by Rosenerger and Schommer, exhaustion criteria comprised a respiratory exchange ratio >1.1, plateauing of VO2 consumption, and a HR reaching or exceeding 100% ± 10% of the age-predicted HRmax (Scharhag-Rosenberger and Schommer, 2013). Heart rate (HR) was continuously tracked with a smartLAB hrm W sensor worn at the chest (HMM Diagnostics GmbH, Heddesheim, Germany). To assess cardiopulmonary indices the COSMED Quark CPET (COSMED, Rome, Italy) was used. VO2max [mL/min/kg] was determined by averaging the oxygen uptake over the last 30 s at the participant’s peak performance.
2.3.2 Simulated Hyrox© competition
In the simulated Hyrox© competition test, physiological responses were assessed in order to estimate the demands of a Hyrox© competition. Participants were instructed to avoid any intensive physical activity 48 h prior the test. All participants completed the Hyrox© according to the standards of the “Individual Open Division”. The exercise execution followed the guidelines outlined for Hyrox© competitions (Bergmann, 2024). Each participant completed the test alone in a gym. The 8 runs and exercise stations were performed in alternating order, always starting with a 1 km run on a Woodway Curve treadmill (WOODWAY, Weil am Rhein, Germany). The exercise stations were (1) ski ergometer (1000 m; Concept2, Morrisville, USA), (2) sled push (4 × 12.5m, women: 102 kg, men: 152 kg, including weight of the sled) (3) sled pull (4 × 12.5m, women: 78 kg, men: 103 kg, including weight of the sled), (4) burpee broad jumps (4 × 20 m), (5) rowing ergometer (1000 m; Concept2, Morrisville, USA), (6) farmers carry (8 × 25 m, women: 2 × 16 kg kettle bell, men: 2 × 24 kg kettle bell), (7) sandbag lunges (4 × 25 m, women: 10 kg, men: 20 kg), and (8) wall balls (women: 75 repetitions with 4 kg, men: 100 repetitions with 6 kg). Participants were instructed to complete the Hyrox© as fast as possible. The test setup in the gym is shown in Figure 2.
Figure 2
Figure 2. Test setup for the simulated Hyrox© competition.
The completion times were recorded for the full Hyrox©, the accumulated runs, the accumulated exercise stations as well as for each run and exercise station. During the test, the participants wore a smartLAB hrm W sensor at the chest (HMM Diagnostics GmbH, Heddesheim, Germany) to track their HR. The maximum heart rate (HRmax) and average HR (HRavg) was determined for the complete Hyrox©, as well as for the accumulated runs, accumulated exercise stations, and each individual run and exercise station. The relative HR [%HRmax] was calculated to the second for the entire Hyrox© to estimate the exercise intensity according to the guidelines of the American College of Sports Medicine (very light, light, moderate, hard, very hard, maximum) (Pollock et al., 1998).
Blood lactate concentration (BL) in millimoles per liter [mmol/L] was measured with a Lactate Scout+ (SensLab GmbH, Leipzig, Germany) before the test, after each run, after each exercise station, and at 3 and 6 min after the completion of the final exercise station. Simultaneously with the lactate measurements, relative perceived exertion (RPE) was assessed using the Borg scale (scale from 6–20 with 6 being the lowest and 20 the highest possible perceived exertion). The scale was presented and explained to the participants beforehand, following the standards for its use in sports medicine as recommended by Löllgen (Borg, 1998; Löllgen, 2004). The maximum BL (BLmax), maximum RPE (RPEmax), average BL (BLavg), and average RPE (RPEavg) was determined for the complete Hyrox©, as well as for the accumulated runs, and accumulated exercise stations.
2.4 Statistical analysis
The statistical analysis was conducted with Microsoft Excel (Microsoft, Redmond, United States) and SPSS 29® (IBM SPSS, Armonk, NY, United States). Normal distribution was analyzed via Kolmogorov-Smirnov test and Q-Q-plots. Values are given as median (interquartile range). Differences between the runs and workout stations in terms of physiological responses and RPE were analyzed via Wilcoxon signed rank test. The effect size r was calculated based on the z-value and the sample size. Spearman’s rank correlation test was performed to identify associations between the completion times (complete Hyrox©, runs, exercise stations) and participant characteristics (e.g., measures of body composition, strength, and endurance). Spearman’s rho was reported as the correlation coefficient. Statistical significance was set at p ≤ 0.05.
3 Results
Participants completed the Hyrox© in 86.5 (14.5) min, whereby the time spent running [51.2 (14.1) min] was significantly longer than the time to complete the exercise stations [32.8 (6.1) min] (p = 0.003, r = 0.88). The percentage share of the specific exercise stations and runs in the total time to completion is displayed in Figure 3. The shortest median times to completion occurred for sled push [2.1 (0.6) min], sled pull [2.6 (0.6) min], and farmers carry [2.7 (0.7 min]. Run 5 [7.4 (1.6) min], Run 8 [6.8 (1.3) min], and Run 6 [6.8 (1.9) min] took participants the longest.
Figure 3
Figure 3. Distribution of the time spent completing the exercise stations and runs during the simulated Hyrox© competition.
During the Hyrox, participants achieved a HRmax of 185 (26) bpm, with significantly higher values for the exercise stations [185 (26) bpm] compared to the runs [180 (26) bpm] (p = 0.04, r = 62). Similarly, the HRavg in the full Hyrox© reached 170.9 (21.2) bpm while participants completed the exercise stations at a higher HRavg (173.7 (19.5) bpm) compared to the runs [168.9 (21.9) bpm] (p = 0.03, r = 64). Most of the time, participants performed at very hard [79.5 (21) %] and hard [19.6 (20.7) %] intensities. The distribution of the intensity ranges is shown in Figure 4.
Figure 4
Figure 4. Percentage of time spent in different intensity ranges during the simulated Hyrox©competition. Note: Intensity ranges were determined based on the percentage of participants’ maximum heart rate (very light: <35%, light: 35%–55%, moderate: 55%–70%, hard: 70%–90%, very hard: 90%–100%, maximum = 100%).
Physiologically, the hard to very hard intensity was also reflected in the values for BLmax [8.5 (5.4) mmol/L] during the Hyrox©. Again, BLmax was significantly higher after the exercise stations [8.5 (5.4) mmol/L] compared to the runs [7.7 (4.6) mmol/L] (p = 0.006, r = 83). Looking at BLavg during the Hyrox© [6.3 (3.8) mmol/L], the values after the workouts [6.6 (3.7) mmol/L] were higher in comparison to the runs [6.2 (3.9) mmol/L] (p = 0.003, r = 0.88).
The RPEmax score during the Hyrox© reached 18 (2), whereby the participants rated the exercise stations [18 (2)] as significantly more strenuous than the runs [16 (2)] (p = 0.003, r = 0.91). Likewise, participants had a RPEavg of 14.1 (1.5) in the Hyrox©, with significantly higher values during the exercise stations [14.4 (1.9)] compared to the runs [13.4 (1.3)] (p = 0.003, r = 0.89). Values for physiological responses and RPE are given in Table 2.
Table 2
Table 2. Physiological responses and relative perceived exertion during the simulated Hyrox© competition.
The highest values for HRmax [183 (21) bpm], BL [8.5 (4.9)], and RPE [18 (1)] were seen in the last exercise station, the wall balls. The course of the HR as well as BL and RPE values are displayed for the Hyrox© in Figure 5.
Figure 5
Figure 5. Heart rate, blood lactate, and relative perceived exertion for each exercise station and run during the simulated Hyrox©competition. Abbreviations: BL, blood lactate; bpm, beats per minute; HR, maximum heart rate; RPE, relative perceived exertion, mmol/L, millimoles per liter.
Correlation analyses showed multiple associations between the participant characteristics and performance in the Hyrox©. The strongest correlation was found for VO2max (ρ = - 0.71, p = 0.01), followed by endurance training volume (ρ = - 0.68, p = 0.04), and body fat percentage (ρ = 0.67, p = 0.03). Independent analyses of performance during runs and workouts with participants characteristics revealed correlations only for the runs, but not the exercise stations. Strong correlations were seen for VO2max (ρ = - 0.73, p = 0.01) and body fat percentage (ρ = 0.68, p = 0.02). Results of the correlations analyses are shown in Table 3.
Table 3
Table 3. Correlations between Hyrox© performance and participant characteristics.
All participants had the technical proficiency and mobility to perform the exercises according to the Hyrox© movement standards. They further had sufficient strength to execute all exercise station with the competition-standard loads.
4 Discussion
4.1 Classification and physiological demands of Hyrox©
The observed physiological responses and RPE clearly illustrated the high-intensity nature of Hyrox© (Pollock et al., 1998). Given that Hyrox© comprises multi-joint, compound movements performed at high intensities, with loads reaching up to 152 kg for women and 202 kg for men, Hyrox© can be classified as a HIFT modality (Feito et al., 2018). Since more than 60% of the total completion time was spent running, Hyrox© should be further specified as a running-focused form of HIFT.
Based on the overall duration [86.5 (14.5) min] in conjunction with HR and BL values, it is to assume that participants had to rely on both aerobic as well as anaerobic metabolic pathways to complete the Hyrox©. Compared to the runs, the exercise stations were significantly more intense indicating higher energy demands per time. In this regard, it is to note that the exercise stations with the heaviest external loads (sled push and sled pull) were completed the fastest. Median completion times of these movements still ranged between 2–3 min indicating that Hyrox© requires athletes to exert a considerable amount of force over prolonged periods of time with anaerobic glycolysis being a key contributor to energy production during these phases. The importance of anaerobic energy production was also confirmed for other HIFT domains such as CF. However, Fernandez et al. and Forte et al. reported considerably higher BL values for CF workouts (mean ± standard deviation: up to 15.8 ± 4.9 mmol/L) (Fernández et al., 2015; Forte et al., 2022). This is in line with recent findings of Sousa Neto et al. who investigated physiological responses after the CF benchmark workout “Karen” (150 repetitions of wall balls with a 9 kg ball as fast as possible) and found significant increases of BL reaching even higher values 17.5 ± 3 mmol/L) (Sousa Neto et al., 2022). Nevertheless, most of the investigated CrossFit© workouts were shorter than 20 min (Fernández et al., 2015; Forte et al., 2022; Sousa Neto et al., 2022). One exception might be the CF workout Murph, in which physiological responses similar to Hyrox© were observed (HRmax = 185.6 ± 7.6 bpm, HRavg = 168.8 ± 6.4 bpm, and BL = 10 ± 3 mmol/L). However, Murph was completed substantially faster (43.4 ± 4.6 min) and classified by shorter running distance (2 miles) and time (17.6 ± 2 min) leading to divergent demands for the athletes (Carreker and Grosicki, 2020).
On the other hand, unlike HIFT modalities such as CF where athletes are prepared for “the unknown and unknowable,” exercises but also the loads being moved in Hyrox© competitions are fixed (Bergmann, 2024; Glassman, 2020). This suggests that once strength and power exceed a certain level, benefits of further improvements in these parameters might diminish. Contrastingly, the importance of muscular endurance (e.g., utilizing, tolerating, and clearing lactate) could become more prominent in order to sustain the repeated high-intensity efforts. In this context, it is worth mentioning that the various movements performed in Hyrox© involve the upper as well as lower body musculature (Bergmann, 2024). It is therefore to assume, that both the transition between fatiguing upper-body-dominant as well as lower-body-dominant movements and running inhibits running performance and requires specific adaptions (e.g., redistribution of blood to the legs after movements involving large amounts of upper body musculature; running after high lactate accumulation in the legs due to lower-body-dominant movements). Running under such circumstances could have negatively affected running technique respectively economy which is highly relevant to achieve high running speeds. This could explain the relatively low running pace during the Hyrox© compared to that observed in recreational half-marathon runners (Ogueta-Alday et al., 2018). Therefore, economizing the transition between different metabolic demands as well as maintaining efficient technical execution under fatigue seem to be important aspects for Hyrox© athletes. This is in line with the findings of Peeling et al., who showed that swimming at too high an intensity has detrimental effects on subsequent cycling performance as well as overall performance in triathletes (Peeling et al., 2005). Similarly, Ribiero et al. reported lower overall performance in the CF workout “Fight Gone Bad” when participants completed it in all-out pacing compared to a controlled-split pacing strategy (Ribeiro et al., 2024).
In comparison to endurance sports (e.g., running, cycling, rowing, swimming), Hyrox© athletes need to excel in a greater variety of movement patterns and components of physical fitness (Bergmann, 2024). However, compared to CF, the degree of variation in terms of movements, distances, and loads, the technical demands appear to be relatively low (Bergmann, 2024; Glassman, 2020). This was also displayed by the fact that all participants were able to perform the movements according to Hyrox© competition standards without any scaling. It can therefore be assumed that as performance level and technical proficiency increase, the optimization of metabolic adaptations and proper pacing becomes increasingly important for Hyrox© athletes.
4.2 Performance determinants
The correlation analyses were in line with the assumptions drawn from the observed physiological responses and RPE. Strong correlations with VO2max suggested that aerobic capacity could be an important performance determinant for Hyrox© athletes. This was also evident in previous research investigating half-marathon runners as well as CF athletes (Meier et al., 2023a; Nikolaidis and Knechtle, 2023). The proximity to CF and running disciplines was further reflected in the strong correlations between the completion times of the Hyrox© and runs with body fat percentage (Meier et al., 2023a; Nikolaidis and Knechtle, 2023). However, in contrast to CF, where measures of muscular strength were found to be important performance determinants, neither HGS nor muscle mass percentage correlated with performance in the present study (Meier et al., 2023a). This was also reflected in the lack of correlation between resistance training and completion times. On the other hand, endurance training volume was strongly associated with completion times of the Hyrox© as well as the runs. However, more information regarding training parameters (e.g., volume, intensity, exercise selection, training history) would be required to better estimate the relevance of resistance and endurance training. Furthermore, only maximum HGS but no direct assessment of lower body strength or strength endurance was conducted.
4.3 Training recommendations
When training for a Hyrox©, a broad training strategy needs to be applied. According to the observations in the present study, endurance training should to be emphasized to perform a Hyrox© at hard to very hard intensities. Hyrox© training programs should therefore include endurance activities at moderate intensities as well as forms of HIIT to improve aerobic as well as anaerobic capacity. Since athletes spent the majority of time running, a substantial amount of training volume has to be dedicated to running-based training sessions. However, excessive running mileage has been shown to increase the injury risk and should be treated with caution (Fields et al., 2010). A strategy to avoid running-related overuse or injury would be to replace or combine running with other Hyrox© specific endurance activities such as rowing or skiing (Bergmann, 2024). Infact, combining running with other Hyrox© movements should be an integral part of Hyrox© training to improve running economy in a pre-fatigued state and the ability to transition between different metabolic demands.
Although strength appeared to be less important, athletes still need to be able to move external weights according to the competition standards. Previous research on CT indicated that endurance and resistance training may interfere with each other, affecting overall adaptations. To minimize interference, Methenitis recommended separating resistance and endurance training into distinct sessions. When endurance and resistance training have to be done in the same session, the most important aspect should be trained first. In case of athletes that substantially lack maximum strength, power, or muscular endurance to handle competition-standard loads, a training cycle focusing on resistance training could be utilized. For optimal resistance training adaptations, a ratio of 2:1 or 3:1 (resistance: endurance training) in terms of training frequency is recommended. On the other hand, optimal endurance training adaptions should be achieved with a ratio of 1:1 or 1:2 (resistance: endurance training) (Methenitis, 2018). Due to the high-intensity nature of Hyrox©, an efficient training method for Hyrox© athletes should be HIIT as it effectively improves measures of endurance such as VO2max and leads to less interference effects compared with high-volume, moderate-intensity endurance training (Methenitis, 2018; Mallol et al., 2019). Furthermore, by incorporating Hyrox© exercises and running within a HIIT-style endurance protocol, multiple training objectives could be achieved within a single session and thus minimize overall fatigue. Such training protocols would closely mirror the demands of a Hyrox© competition, possibly enabling athletes to refine transitions between exercises, enhance movement efficiency, and adapt to the specific metabolic demands of Hyrox©. While findings of this study allowed for several general training recommendations, assessing individual capabilities and circumstances remains detrimental to design an effective, customized training program.
4.4 Perspectives for practice and research
4.4.1 Health promotion
As a form of HIFT, Hyrox© shows a significant overlap with the top recent fitness trends such as HIIT, FFT, and bodyweight training (Thompson, 2023). It is therefore to assume that its popularity will further increase. Besides the competitive execution of Hyrox©, it could also be attractive for health-oriented individuals. As outlined above, Hyrox© training should include endurance training at moderate and high intensities as well as resistance training including all major muscle groups. Hyrox© training therefore appears as an efficient way to meet the guidelines of the World Health Organization (WHO) (Bull et al., 2020). The effectiveness of HIFT in terms of fitness and health (e.g., body composition, musculoskeletal, and cardiorespiratory fitness) has already been shown in previous studies (Claudino et al., 2018; Brandt et al., 2024; Bycura et al., 2017). Additionally, physical activity interventions based on Hyrox©, could benefit from positive motivational aspects that were found in other forms of HIFT such as CF indicating great potential for behavioral change and maintenance (Brandt et al., 2024; Bycura et al., 2017). The lower number and complexity of exercises compared to CF could further reduce barriers for participation in diverse populations with reduced physical capabilities (e.g., overweight and obese individuals, older adults, and those with physical impairments) (Winter and Gutman, 2022). Nevertheless, Hyrox© still provides considerably more variation than other endurance activities (e.g., running, cycling, swimming) which has been reported to facilitate exercise participation among fitness practitioners (Winter and Gutman, 2022). Due to its similarity to CF, it is to assume that Hyrox© participants also benefit from intrinsic motives such as enjoyment, challenge, and affiliation that support long-term adherence (Fisher et al., 2017). Furthermore, Hyrox© offers different divisions with scaled competition standards, allowing participants of varying fitness levels and age groups to compete with each other (Bergmann, 2024). This does not only increase the accessibility of Hyrox© for different populations, but might additionally results in levels of interest and enjoyment typically seen in sports (Frederick and Ryan, 1993).
4.4.2 Tactical populations
Another potential application area could be the training of tactical populations including soldiers, firefighters, and law enforcement personnel. These groups have to be prepared for a high variety of physical tasks such as dismounted patrols, casualty carry, or intensive combat situations while carrying heavy equipment. Hyrox© could address the need for versatile fitness adaptions (e.g., strength, power, aerobic, and anaerobic capacity) in tactical populations and additionally teach movement patterns such as lifting, pulling, pushing, carrying, and throwing external loads that are common in mission tasks (Bergmann, 2024). Previous studies have already demonstrated the potential of HIFT for tactical populations. Haddock et al. concluded that HIFT modalities (e.g., CF, SEALFIT, US Marine Corps’ High Intensity Tactical Training) provide several benefits such as improved conditioning and strength, general physical preparedness for unpredictable physical demands, less injury potential, low equipment costs, high scalability, and 25%–80% lower training volume compared to conventional military fitness training (Haddock et al., 2016).
4.4.3 Implications for future research
While the present study provided a valuable foundation regarding the characteristics of Hyrox©, further research that builds on these results and addresses the limitations identified in this study is needed to gain a comprehensive understanding of this novel HIFT modality. Firstly, it is important to note that all but one participant in the present study demonstrated very good to excellent cardiorespiratory fitness levels based on their VO2max values (exception was one male participant showing good cardiorespiratory fitness) (Heyward, 2006). In terms of strength, again 8 participants showed above-average HGS for their age-group whereby only 3 male participants ranged slightly below-average (93.2%–99.6% of reference values) (Ewald and Kohler, 1991). This needs to be considered since physiological differences between athletes differing in experience or fitness level could affect performance and physiological responses (Mangine et al., 2020; Lorenz et al., 2013). Consequently, together with the small sample size, the generalizability of the present findings remains limited. To establish a more nuanced understanding of the characteristics of Hyrox© across different fitness levels, future studies could include a larger, more heterogenous sample. An alternative approach might be to continue working with small sample sizes but homogeneous groups (e.g., only elite men or women), allowing for more distinct conclusions regarding the specific cohort, as was done by Martínez-Gómez et al. and Sauvé et al. for elite CF athletes (Sauvé et al., 2024; Martínez-Gómez et al., 2020). Furthermore, investigations should be extended to other Hyrox© divisions besides the “Individual Open” (e.g., Individual Pro, Doubles, Relay).
Further limiting factors of the present study were that each participant performed the Hyrox© alone (no competitors or spectators), runs did not take place on a track, and the sled used differed from the official competition sled. Especially running on a competition-standard track could lead to different results. For instance, Peserico and Machado found lower running velocity and HRavg but higher HRmax when participants ran 60 min on a treadmill compared to a track. Additionally, the authors reported differences in pacing strategies between the track and treadmill condition (Peserico and Machado, 2014). Similar results were confirmed in previous studies investigating shorter distances (Nummela et al., 2007; Morin and Sève, 2011). In future studies, efforts should be made to replicate competition conditions more accurately or measure athletes during official competitions. To enhance the understanding of potential performance determinants, it is also recommended to expand the test battery with additional measurements. An effective method could be the determination of a total athleticism score, as recently proposed by Tibana et al. in the context of CF. The authors calculated the score based on body fat percentage, VO2max, muscle power, and muscle endurance providing a holistic measure for overall athleticism (Tibana et al., 2024). A similar tool could be developed and applied in Hyrox©, incorporating Hyrox-specific movements and accessible tests (e.g., the critical speed test). Lastly, the potential effectiveness of Hyrox© in terms of health-promotion and tactical training has not been confirmed yet and must be investigated in future studies. In this context, future research should focus not only on fitness and health adaptions but also on motivational aspects, the potential for behavioral change and maintenance, training time and volume, costs, equipment requirements, injury prevalence as well as the applicability across various settings (e.g., commercial gyms, workplace health promotion, military bases, and during deployments abroad).
5 Conclusion
Hyrox© is an endurance-focused form of HIFT that combines running with 8 different functional movements. Performing a Hyrox© required athletes to engage both aerobic as well as anaerobic metabolic pathways and to transition between varying metabolic demands depending on the executed movement. Participants spent the majority of the Hyrox© running whereas the intensity according to HR, BL, and RPE values was higher during the exercise stations. Although endurance capacity respectively training appeared to be of greater importance for performance than measures of strength, individual weaknesses should be considered to design effective and sustainable training programs. In this regard, it is suggested to apply CT training recommendations (Methenitis, 2018). Despite the limitations of this first Hyrox© study and the need for further investigations, Hyrox© has emerged as a form of HIFT likely to gain further popularity and offering practical applications beyond its competitive nature, including health promotion and tactical population training.
Data availability statement
The datasets presented in this article are not readily available because The data that support the findings of this study are available from the corresponding author upon reasonable request. Requests to access the datasets should be directed to dG9tLmJyYW5kdEB1bmlidy5kZQ==.
Ethics statement
The studies involving humans were approved by the Ethics Committee of the University of the Bundeswehr Munich, Germany. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
TB: Conceptualization, Data curation, Formal Analysis, Methodology, Supervision, Visualization, Writing–original draft, Writing–review and editing. CE: Data curation, Formal Analysis, Investigation, Visualization, Writing–original draft. CL: Data curation, Formal Analysis, Investigation, Visualization, Writing–original draft. AS: Conceptualization, Methodology, Supervision, Writing–review and editing.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. We acknowledge financial support by the University of the Bundeswehr München.
Acknowledgments
The authors would like to thank the study participants for volunteering.
Conflict of interest
The Results of this study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation. Professional relationships with companies or manufacturers who will benefit from the results of the present study do not exist.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Ahmad A., Jusoh N., Tengah R. Y. (2018). Acute physiological responses and performance following subsequent CrossFit ‘CINDY’ workout with Zea Mays juice. Phys. Educ. students 23 (2), 57–63. doi:10.15561/20755279.2019.0201
Ángel Rodríguez M., García-Calleja P., Terrados N., Crespo I., Del Valle M., Olmedillas H. (2022). Injury in CrossFit®: a systematic review of epidemiology and risk factors. Phys. Sportsmed. 50 (1), 3–10. doi:10.1080/00913847.2020.1864675
Bergmann M. (2024). Hyrox - das Fitnessrace für jeden: Hintergründe - Training - Vorbereitung - Profitipps. 1st ed., 1–206. Munich: Riva.
Bosy-Westphal A., Jensen B., Braun W., Pourhassan M., Gallagher D., Müller M. J. (2017). Quantification of whole-body and segmental skeletal muscle mass using phase-sensitive 8-electrode medical bioelectrical impedance devices. Eur. J. Clin. Nutr. 71 (9), 1061–1067. doi:10.1038/ejcn.2017.27
Bosy-Westphal A., Schautz B., Later W., Kehayias J. J., Gallagher D., Müller M. J. (2013). What makes a BIA equation unique? Validity of eight-electrode multifrequency BIA to estimate body composition in a healthy adult population. Eur. J. Clin. Nutr. 67 (S1), S14–S21. doi:10.1038/ejcn.2012.160
Brandt T., Heinz E., Klaaßen Y., Limbara S., Mörsdorf M., Schinköthe T., et al. (2024). The MedXFit-study – CrossFit as a workplace health intervention: a one-year, prospective, controlled, longitudinal, intervention study. Front. Public Health 12, 1304721. doi:10.3389/fpubh.2024.1304721
Bull F. C., Al-Ansari S. S., Biddle S., Borodulin K., Buman M. P., Cardon G., et al. (2020). World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br. J. Sports Med. 54 (24), 1451–1462. doi:10.1136/bjsports-2020-102955
Bycura D., Feito Y., Prather C. (2017). Motivational factors in CrossFit ® training participation. Health Behav. Policy Rev. 4 (6), 539–550. doi:10.14485/hbpr.4.6.4
Carreker J. D., Grosicki G. J. (2020). Physiological predictors of performance on the CrossFit “Murph” challenge. “Murph” Chall. Sports 8 (7), 92. doi:10.3390/sports8070092
Claudino J. G., Gabbett T. J., Bourgeois F., Souza H. de S., Miranda R. C., Mezêncio B., et al. (2018). CrossFit overview: systematic review and meta-analysis. Sports Med. Open 4 (1), 11. doi:10.1186/s40798-018-0124-5
Dexheimer J. D., Schroeder E. T., Sawyer B. J., Pettitt R. W., Aguinaldo A. L., Torrence W. A. (2019). Physiological performance measures as indicators of CrossFit® performance. Sports 7 (4), 93. doi:10.3390/sports7040093
Dominski F. H., Serafim T. T., Siqueira T. C., Andrade A. (2021). Psychological variables of CrossFit participants: a systematic review. Sport Sci. Health 17 (1), 21–41. doi:10.1007/s11332-020-00685-9
Feito Y., Heinrich K. M., Butcher S. J., Poston W. S. C. (2018). High-intensity functional training (HIFT): definition and research implications for improved fitness. Sports 6 (3), 76. doi:10.3390/sports6030076
Fernández J. F., Solana R. S., Moya D., Marin J. M. S., Ramón M. M. (2015). Acute physiological responses during crossfit®workouts. Eur. J. Hum. Mov. 35, 114–124.
Fields K. B., Sykes J. C., Walker K. M., Jackson J. C. (2010). Prevention of running injuries. Curr. Sports Med. Rep. 9 (3), 176–182. doi:10.1249/JSR.0b013e3181de7ec5
Fisher J., Sales A., Carlson L., Steele J. (2017). A comparison of the motivational factors between CrossFit participants and other resistance exercise modalities: a pilot study. J. Sports Med. Phys. Fit. 57 (9), 1227–1234. doi:10.23736/S0022-4707.16.06434-3
Forte L. D. M., Freire Y. G. C., Júnior J. S. D. S., Melo D. A., Meireles C. L. S. (2022). Physiological responses after two different Crossfit workouts. Biol. Sport 39 (2), 231–236. doi:10.5114/biolsport.2021.102928
Frederick C. M., Ryan R. M. (1993). Differences in motivation for sport and exercise and their relations with participation and. J. Sport Behav. 16 (3), 124. Available online at: https://search.ebscohost.com/login.aspx?direct=true&db=s3h&AN=9610290998&site=ehost-live.
Fyfe J. J., Hamilton D. L., Daly R. M. (2022). Minimal-dose resistance training for improving muscle mass, strength, and function: a narrative review of current evidence and practical considerations. Sports Med. 52 (3), 463–479. doi:10.1007/s40279-021-01605-8
Gianzina E. A., Kassotaki O. A. (2019). The benefits and risks of the high-intensity CrossFit training. Sport Sci. Health 15 (1), 21–33. doi:10.1007/s11332-018-0521-7
Glassman G. (2020). The CrossFit level 1 training guide. 3rd ed. Boulder, CO, USA: CrossFit Incorporated, 1–255.
Haddock C. K., Poston W. S. C., Heinrich K. M., Jahnke S. A., Jitnarin N. (2016). The benefits of high-intensity functional training fitness programs for military personnel. Mil. Med. 181 (11), e1508–e1514. doi:10.7205/MILMED-D-15-00503
Hak P. T., Hodzovic E., Hickey B. (2013). The nature and prevalence of injury during CrossFit training. J. Strength Cond. Res. Publish Ahead of Print. doi:10.1519/JSC.0000000000000318
Heyward V. H. (2006). Advanced fitness assessment and exercise prescription. 5th ed. Champaign: Human Kinetics. Available online at: https://books.google.de/books?id=4GpPGl-79HgC.
Joyner M. J. (1991). Modeling: optimal marathon performance on the basis of physiological factors. J. Appl. Physiol. 70 (2), 683–687. doi:10.1152/jappl.1991.70.2.683
Joyner M. J., Coyle E. F. (2008). Endurance exercise performance: the physiology of champions. J. Physiol. 586 (1), 35–44. doi:10.1113/jphysiol.2007.143834
Lee D. chul, Brellenthin A. G., Thompson P. D., Sui X., Lee I. M., Lavie C. J. (2017). Running as a key lifestyle medicine for longevity. Prog. Cardiovasc Dis. 60 (1), 45–55. doi:10.1016/j.pcad.2017.03.005
Lorenz D. S., Reiman M. P., Lehecka B. J., Naylor A. (2013). What performance characteristics determine elite versus nonelite athletes in the same sport? Sports Health A Multidiscip. Approach 5 (6), 542–547. doi:10.1177/1941738113479763
Mallol M., Bentley D. J., Norton L., Norton K., Mejuto G., Yanci J. (2019). Comparison of reduced-volume high-intensity interval training and high-volume training on endurance performance in triathletes. Int. J. Sports Physiol. Perform. 14 (2), 239–245. doi:10.1123/ijspp.2018-0359
Mangine G. T., Stratton M. T., Almeda C. G., Roberts M. D., Esmat T. A., VanDusseldorp T. A., et al. (2020). Physiological differences between advanced CrossFit athletes, recreational CrossFit participants, and physically-active adults. PLoS One 15 (4), e0223548. doi:10.1371/journal.pone.0223548
Martínez-Gómez R., Valenzuela P. L., Alejo L. B., Gil-Cabrera J., Montalvo-Pérez A., Talavera E., et al. (2020). Physiological predictors of competition performance in CrossFit athletes. Int. J. Environ. Res. Public Health 17 (10), 3699. doi:10.3390/ijerph17103699
Meier N., Schlie J., Schmidt A. (2023a). CrossFit®: ‘unknowable’ or predictable? a systematic review on predictors of CrossFit® performance. Sports 11 (6), 112. doi:10.3390/sports11060112
Meier N., Sietmann D., Schmidt A. (2023b). Comparison of cardiovascular parameters and internal training load of different 1-h training sessions in non-elite CrossFit® athletes. J. Sci. Sport Exerc. 5 (2), 130–141. doi:10.1007/s42978-022-00169-x
Methenitis S. (2018). A brief review on concurrent training: from laboratory to the field. Sports 6 (4), 127. doi:10.3390/sports6040127
Morin J. B., Sève P. (2011). Sprint running performance: comparison between treadmill and field conditions. Eur. J. Appl. Physiol. 111 (8), 1695–1703. doi:10.1007/s00421-010-1804-0
Nikolaidis P. T., Knechtle B. (2023). Participation and performance characteristics in half-marathon run: a brief narrative review. J. Muscle Res. Cell Motil. 44 (2), 115–122. doi:10.1007/s10974-022-09633-1
Nummela A., Hämäläinen I., Rusko H. (2007). Comparison of maximal anaerobic running tests on a treadmill and track. J. Sports Sci. 25 (1), 87–96. doi:10.1080/02640410500497717
Ogueta-Alday A., Morante J. C., Gómez-Molina J., García-López J. (2018). Similarities and differences among half-marathon runners according to their performance level. PLoS One 13 (1), e0191688. doi:10.1371/journal.pone.0191688
Pedisic Z., Shrestha N., Kovalchik S., Stamatakis E., Liangruenrom N., Grgic J., et al. (2020). Is running associated with a lower risk of all-cause, cardiovascular and cancer mortality, and is the more the better? A systematic review and meta-analysis. Br. J. Sports Med. 54 (15), 898–905. doi:10.1136/bjsports-2018-100493
Peeling P. D., Bishop D. J., Landers G. J. (2005). Effect of swimming intensity on subsequent cycling and overall triathlon performance. Br. J. Sports Med. 39 (12), 960–964. doi:10.1136/bjsm.2005.020370
Peserico C. S., Machado F. A. (2014). Comparação entre desempenhos de corrida time trial realizados em pista e esteira. Rev. Bras. Cineantropometria Desempenho Hum. 16 (4), 456. doi:10.5007/1980-0037.2014v16n4p456
Pollock M. L., Gaesser G. A., Butcher J. D., Despr??s J. P., Dishman R. K., Franklin B. A., et al. (1998). ACSM position stand: the recommended quantity and quality of exercise for developing and maintaining cardiorespiratory and muscular fitness, and flexibility in healthy adults. Med. Sci. Sports Exerc 30 (6), 975–991. doi:10.1097/00005768-199806000-00032
Ribeiro G., De Aguiar R. A., Tramontin A. F., Martins E. C., Caputo F. (2024). Fatigue and performance rates as decision-making criteria in pacing control during CrossFit®. Percept. Mot. Ski. 131 (4), 1274–1290. doi:10.1177/00315125241247858
Rios M., Becker K. M., Cardoso F., Pyne D. B., Reis V. M., Moreira-Gonçalves D., et al. (2024b). Assessment of cardiorespiratory and metabolic contributions in an extreme intensity CrossFit® benchmark workout. Sensors 24 (2), 513. doi:10.3390/s24020513
Rios M., Becker K. M., Monteiro A. S., Fonseca P., Pyne D. B., Reis V. M., et al. (2024a). Effect of the fran CrossFit workout on oxygen uptake kinetics, energetics, and postexercise muscle function in trained CrossFitters. Int. J. Sports Physiol. Perform. 19 (3), 299–306. doi:10.1123/ijspp.2023-0201
Saragiotto B. T., Yamato T. P., Hespanhol Junior L. C., Rainbow M. J., Davis I. S., Lopes A. D. (2014). What are the main risk factors for running-related injuries? Sports Med. 44 (8), 1153–1163. doi:10.1007/s40279-014-0194-6
Sauvé B., Haugan M., Paulsen G. (2024). Physical and physiological characteristics of elite CrossFit athletes. Sports 12 (6), 162. doi:10.3390/sports12060162
Scharhag-Rosenberger F., Schommer K. (2013). Die Spiroergometrie in der Sportmedizin. Ger. J. Sports Medicine/Deutsche Zeitschrift fur Sportmedizin 64 (12). doi:10.5960/dzsm.2013.105
Sousa Neto I. V. de, Sousa N. M. F. de, Neto F. R., Falk Neto J. H., Tibana R. A. (2022). Time course of recovery following CrossFit® karen benchmark workout in trained men. Front. Physiol. 13, 13. doi:10.3389/fphys.2022.899652
Thompson W. R. (2023). Worldwide survey of fitness trends for 2023. ACSMs Health Fit. J. 27 (1), 9–18. doi:10.1249/fit.0000000000000834
Tibana R. A., Dominski F. H., Andrade A., De Sousa N. M. F., Voltarelli F. A., Neto I. V. de S. (2024). Exploring the relationship between Total Athleticism score and CrossFit® Open Performance in amateur athletes: single measure involving body fat percentage, aerobic capacity, muscle power and local muscle endurance. Eur. J. Transl. Myol. 34, 12309. doi:10.4081/ejtm.2024.12309
Wilson J. M., Marin P. J., Rhea M. R., Wilson S. M. C., Loenneke J. P., Anderson J. C. (2012). Concurrent training: a meta-analysis examining interference of aerobic and resistance exercises. J. Strength Cond. Res. 26 (8), 2293–2307. doi:10.1519/JSC.0b013e31823a3e2d
Wind A. E., Takken T., Helders P. J. M., Engelbert R. H. H. (2010). Is grip strength a predictor for total muscle strength in healthy children, adolescents, and young adults? Eur. J. Pediatr. 169 (3), 281–287. doi:10.1007/s00431-009-1010-4
Keywords: fitness racing, HIFT, concurrent training, high intensity interval training, heart rate, maximum oxygen consumption, lactate, relative perceived exertion
Citation: Brandt T, Ebel C, Lebahn C and Schmidt A (2025) Acute physiological responses and performance determinants in Hyrox© – a new running-focused high intensity functional fitness trend. Front. Physiol. 16:1519240. doi: 10.3389/fphys.2025.1519240
Received: 29 October 2024; Accepted: 03 March 2025;
Published: 31 March 2025.
Edited by:
Kyle Timmerman, Miami University, United StatesReviewed by:
Ramires Alsamir Tibana, Federal University of Mato Grosso, BrazilGabriel Zanini, São Paulo State University, Brazil
Copyright © 2025 Brandt, Ebel, Lebahn and Schmidt. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Tom Brandt, dG9tLmJyYW5kdEB1bmlidy5kZQ==
†ORCID: Tom Brandt, orcid.org/0000-0003-1601-7918