Next Article in Journal
Cognitive Processing Efficiency (Throughput) Improves with Aerobic Exercise and Is Independent of the Environmental Oxygenation Level: A Randomized Crossover Trial
Previous Article in Journal
Some Biomechanical and Anthropmetric Differences Between Elite Swimmers with Down Syndrome and Intellectual Disabilities
Previous Article in Special Issue
Effects of Contrast Water Therapy on Physiological and Perceptual Recovery Following High-Intensity Interval Swimming in Collegiate Swimmers
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Towards Accurate Reference Values for Heart Rate and Speed Zones by Aerobic Fitness and Sex in Long-Distance Runners

by
Jonathan Esteve-Lanao
1,2,
Sergio Sellés-Pérez
3,
Héctor Arévalo-Chico
3,* and
Roberto Cejuela
3
1
All In Your Mind Training System Ciudad de México, Mexico City 06140, Mexico
2
Biking Performance Hub, BPH, Mexico City 11550, Mexico
3
Physical Education and Sports, Faculty of Education, University of Alicante, 03690 San Vicente del Raspeig, Spain
*
Author to whom correspondence should be addressed.
Sports 2026, 14(1), 29; https://doi.org/10.3390/sports14010029
Submission received: 29 November 2025 / Revised: 23 December 2025 / Accepted: 4 January 2026 / Published: 7 January 2026

Abstract

Background: This study aimed to provide reference values for estimating training intensities in long-distance runners based on progressive incremental tests, considering differences related to sex and performance level. Methods: A total of 1411 endurance-trained runners (819 men and 592 women) completed a standardized treadmill protocol with gas exchange analysis to determine ventilatory thresholds and peak oxygen consumption (VO2peak). Heart rate (HR) and running speed at each threshold were expressed relative to their peak values. Results: HR at second ventilatory threshold (VT2) occurred at 93.5 ± 2.5% of HR peak, and HR at first ventilatory threshold at 85.1 ± 4.6%. The relative running speeds at VT2 and VT1 corresponded to 87.6 ± 3.9% and 73.9 ± 5.5% of the speed at VO2peak, respectively. In men, beginners exhibited higher relative HR and VO2 values at the ventilatory thresholds than elite runners. In contrast, women displayed higher and more stable relative values across performance levels. Conclusions: These findings establish precise, evidence-based reference ranges derived from a large cohort of runners and highlight the need to consider sex and performance level when estimating exercise intensities. Individualized physiological assessment remains essential for accurate training prescription and performance optimization.

1. Introduction

Exercise intensity is one of the key external load variables used to modulate the exercise dose administered to an athlete, together with exercise type, duration, and recovery [1]. Having effective strategies to control exercise intensity of each session is essential for the proper execution of the training plan and the enhancement of athletic performance [2]. Several variables can help determine the actual toughness of exercise and the level of physiological demand it imposes on the athlete. In the case of endurance runners, oxygen consumption and blood lactate concentration are considered the most valid and commonly used indicators in scientific research [3]. However, during regular training sessions, more practical measures such as running speed, rate of perceived exertion, and heart rate (HR) are typically preferred [4]. Associating these variables with specific physiological milestones can facilitate targeted work on the physiological determinants of performance at any given moment, especially those related to maximal oxygen consumption (VO2max) and the ventilatory thresholds, ventilatory threshold 1 (VT1) and ventilatory threshold 2 (VT2) [5]. In this context, training zones provide a useful framework for defining specific intensity ranges—commonly based on running speed or HR—within which the desired training stimulus can be precisely applied [2]. To achieve this, it is essential that training zone calculations are based on direct testing, preferably involving gas exchange analysis or blood lactate measurement, using methodologies validated by the scientific literature [6].
However, it is often difficult for athletes and coaches to access the equipment and infrastructure required to perform these tests, which forces them to estimate training zones indirectly. Some of the most used methods are based on single-effort prediction trials [7], maximal HR, or the HR corresponding to the metabolic thresholds, among others [2]. From these reference values, percentage-based estimations can be applied to predict HR or speed at other physiological landmarks or to prescribe exercise intensities [8].
Several studies have demonstrated the accuracy of fixed-intensity anchors (e.g., specific percentages of maximal HR, VO2max, or maximal aerobic speed) for estimating VT2 and VT1 in runners [9,10,11]. Nevertheless, other studies suggest that these percentage values can vary considerably between individuals, with factors such as sex and training status potentially influencing these estimations [12,13,14]. Specifically, sex is an important factor to consider when attempting to individualize training zones. Traditionally, women’s training programs have been established following the same standards as those of men, despite the fact that physiological responses to exercise differ between the sexes [15]. Considering sex-specific responses is therefore essential not only for optimizing training outcomes but also for accurately interpreting performance and physiological testing data.
In addition, it should be noted that in progressive incremental tests to exhaustion, lower-level athletes may not always reach their VO2max, possibly due to a lower physiological resilience or tolerance to high-intensity effort [16,17]. This limitation can introduce bias when defining maximal reference values, particularly when these are later used to estimate training zones or metabolic thresholds indirectly.
On the other hand, in recent years, there has been a considerable increase in the use of training monitoring platforms and wearable devices among both recreational and trained runners [18]. These platforms often include automated tools for calculating training zones; however, these zones are frequently too generic and fail to account for individual variables that can significantly influence their accuracy and applicability [18]. Therefore, having reference values derived from direct measurements in a large cohort of runners—including various performance levels and both sexes—may help coaches and athletes with limited access to laboratory testing to more accurately determine their training zones using progressive exercise tests performed to volitional exhaustion.
Thus, the aim of the present study was to analyze and present absolute and relative data for running speed, HR, and oxygen consumption (VO2) with respect to their maximal values at VT1 and VT2 in trained long-distance runners of different performance levels (from recreational to elite) and of both sexes, obtained from a progressive incremental performance test performed until exhaustion. In this way, percentage reference values can be established for the different metabolic milestones.
The hypotheses proposed based on previous scientific literature were as follows: (1) Female runners will present higher relative HR values (as a percentage of maximum) at VT1 and VT2 compared with male runners. (2) Female runners will present higher relative running speed values (as a percentage of maximal speed reached at the test) at VT1 and VT2 compared with male runners. (3) The lower ability to sustain high-intensity efforts in lower-performance athletes will result in higher relative running speed and HR values (as a percentage of maximal aerobic speed and HR peak value) at VT1 and VT2 compared with higher-performance athletes.

2. Materials and Methods

2.1. Participants

A total of 1411 athletes participated in the study, comprising 819 men (173.8 ± 7.4 cm, 74.4 ± 10.7 kg, and 37.1 ± 12.4 years) and 592 women (162.3 ± 6.6 cm, 60.0 ± 9.5 kg, and 37.0 ± 11.8 years). All participants were habitual runners with a minimum of one year of experience in structured endurance training. Participants were required to perform a minimum of three running training sessions per week. The athletes were recruited from two training groups specifically dedicated to distance running training and competition. The athletes voluntarily completed the performance tests between 2021 and 2025. All tests were conducted between the 2nd and 5th week of training in each season. The test was conducted after a period of reduced training between competitive seasons (2 to 3 weeks), during the early preparatory phase.
All participants provided their informed consent prior to the use of their data in this research. The study procedures were reviewed and approved by the Ethics Committee of the University of Alicante (protocol code: A-2017-04-11 expedient). All data collection procedures adhered to the principles outlined in the Declaration of Helsinki.

2.2. Procedures

The running performance test was performed on a treadmill (Woodway PRO XL, Waukesha, WI, USA). All tests were conducted in the morning (08:00–11:00 h). Participants were instructed to avoid strenuous exercise for 24 h prior to testing. The protocol started at a 1% gradient, with increments of 0.3 km·h−1 every 30 s until volitional exhaustion [19]. The initial speed was individually determined to ensure that the total test duration ranged between 10 and 15 min and did not exceed 26 min [20].
A portable gas exchange analyzer (Cosmed K5, Rome, Italy) was used to determine ventilatory thresholds and the peak value of VO2 (VO2peak). The recorded respiratory variables included VO2, pulmonary ventilation (VE), ventilatory equivalents for oxygen (VE/VO2) and carbon dioxide (VE/VCO2), and end-tidal partial pressures of oxygen (PETO2) and carbon dioxide (PETCO2).
VO2peak was defined as the highest 1-min average VO2 value obtained during the test. VT1 and VT2 were determined according to the criteria described by Davis et al. [21]. VT1 was identified by a systematic increase in both VE/VO2 and PETO2 without a concomitant rise in VE/VCO2, whereas VT2 was defined by a simultaneous increase in VE/VO2 and VE/VCO2 accompanied by a decline in PETCO2. Both VT1 and VT2 were independently assessed by three experienced evaluators. Other data were collected during the test including voluntary exhaustion of the participant, HR ≥ theoretical HRmax (calculated as 208–0.7·age [22]). The corresponding running speed at VO2peak (SVO2peak) and at VT1 (SVT1) and VT2 (SVT2) was recorded.
Additionally, running economy (RE) was assessed following the warm-up. Participants performed a 6-min constant-speed run at an intensity corresponding to their estimated VT1, determined from recent training sessions. VO2 was continuously measured throughout the test, and the mean VO2 from the final 3 min was used for the calculation. Running economy, expressed as mL·kg−1·km−1, was calculated using the equation: (60 divided by the running speed in km·h−1) multiplied by the average VO2 value in mL·kg−1·min−1. Furthermore, the relative VO2 at VT2 and VT1 was calculated as a percentage of VO2max. HR was continuously monitored throughout the test using a telemetry-based system (Polar Verity Sense, Polar Electro, Kempele, Finland). The peak heart rate value (HRpeak) was defined as the highest value recorded during the test. In addition, HR values were associated with the HR corresponding to VT2 (HRVT2) and VT1 (HRVT1). The relative HR as a percentage of the HRpeak at VT2 and VT1 was calculated. Also, the relative HR as a percentage of HRVT2 at HRpeak and VT1 was calculated. Finally, the relative running speeds at VT1 and VT2 were calculated as percentages of both SVO2peak and the speed corresponding to VT2.
For the subsequent analysis, athletes were categorized according to their performance level based on their VO2peak values. The classification criteria proposed by Barnes and Kilding [23] were used to define the performance groups as follows: Very high aerobic fitness (elite) men > 75.4 mL·kg−1·min−1; High aerobic fitness men 70.8–75.4 mL·kg−1·min−1; moderately aerobic fitness men 62.2–70.0 mL·kg−1·min−1; low to moderate aerobic fitness men 54.2–62.2 mL·kg−1·min−1; and low aerobic fitness (beginners) men < 54.2 mL·kg−1·min−1. For women, very high aerobic fitness (elite) women > 66.2 mL·kg−1·min−1; High aerobic fitness women 61.7–66.2 mL·kg−1·min−1; moderately aerobic fitness women 55.8–61.7 mL·kg−1·min−1; low to moderate aerobic fitness women 49.7–55.8 mL·kg−1·min−1; and low aerobic fitness (beginners) women < 49.7 mL·kg−1·min−1.

2.3. Data Analysis

A descriptive analysis was conducted using the mean and standard deviation (SD) of all variables under study. An independent samples t-test was performed to analyse potential differences in the recorded variables according to performance level and sex. For comparisons involving the very high aerobic fitness males, very high aerobic fitness females, and high aerobic fitness female groups, the nonparametric Mann–Whitney U test was used to detect statistical differences between variables. Pearson’s bivariate correlation coefficient was used to determine the existence of any inter-relationships between the measured variables. Effect size was calculated using Cohen’s d [24] interpreted as follows: trivial (0–|0.2|), small (|0.2|–|0.4|), moderate (|0.4|–|0.8|), and large (>0.8) [25]. Prior to the analyses, the normality of the data was verified using the Kolmogorov–Smirnov (KS) test, confirming a normal distribution. Homogeneity of variances was assessed with Levene’s test. All statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS, version 22.0; IBM Corp., Chicago, IL, USA). Statistical significance was set at p < 0.05.

3. Results

Table 1 presents the physiological data obtained from the progressive exercise test. Higher running speeds at VT1 and VT2 and at VO2peak were observed in higher-level athletes for both men and women. Better running RE values were recorded in the higher-level runners of both sexes. Additionally, lower percentages of VO2 relative to VO2peak at VT1 and VT2 were evident in higher-level male athletes, whereas no such trend was observed in female athletes. The percentage of participants reaching the theoretical maximal HR were higher in athletes of greater performance level. Overall, these differences were more pronounced in men than in women. In addition, the number of years of training and competitive experience can be observed in the dataset and descriptively shows that the groups with higher physiological performance presented a greater number of years of both training and competitive experience.
Table 2 presents the relative HR and running speed values obtained from the performance test, along with comparisons between male and female athletes across different performance levels. Considering the entire sample, the HRVT2 corresponded to 93.5 ± 2.5% of HRpeak, while HRVT1 represented 85.1 ± 4.6% of HRpeak. Conversely, when taking HRVT2 as a reference point, HRpeak corresponded to 107.0 ± 2.9%, and HRVT1 to 90.9 ± 3.7%. The relative running speed at VT2 with respect to SVO2peak was 87.6 ± 3.9%, while the relative speed at VT1 was 73.9 ± 5.5%. When using the running speed at VT2 as the reference, the relative SVO2peak corresponded to 114.4 ± 5.3%, and the relative speed at VT1 was 84.4 ± 4.7%.
On the other hand, Table 2 shows that women exhibited significantly higher relative HR values, expressed as a percentage of HRpeak, at VT1 and VT2, as well as higher relative HR values expressed as a percentage of VT2 at VT1, and lower values at HRpeak. Regarding relative running speed expressed as a percentage of SVO2peak, significantly higher percentages were observed at VT1 and VT2 in athletes with low aerobic fitness, low-to-moderate aerobic fitness, and moderate aerobic fitness, whereas no significant differences were found in the high and very high aerobic fitness groups. These differences can be visually observed in Figure 1 and Figure 2 for men and women, respectively.
Table 3 and Table 4 present the p values and effect sizes, measured using Cohen’s d, between performance-level groups in men and women for relative HR values expressed as a percentage of HRpeak at VT1 and VT2, respectively. In men, the largest differences were observed between groups with the greatest performance gap (e.g., between elite and beginner athletes) for both VT1 and VT2. In contrast, this trend was not evident in women, where few statistically significant differences were found between groups. Figure 3 shows an explanatory diagram of the absolute and relative heart rate values at different levels of aerobic performance.
From the correlation analysis, the most relevant findings were as follows: in men, statistically significant negative correlations were found between SVO2peak and the relative HR expressed as a percentage of HRpeak at VT2 (r = −0.252; p < 0.05) and VT1 (r = −0.210; p < 0.05). In women, however, statistically significant positive correlations were observed between SVO2peak and the relative HR expressed as a percentage of HRpeak at VT2 (r = 0.190; p < 0.05) and VT1 (r = 0.159; p < 0.05).
A similar trend was observed for running speed: in men, SVO2peak showed significant negative correlations with the relative speed expressed as a percentage of SVO2peak at SVT2 (r = −0.197; p < 0.05) and SVT1 (r = −0.157; p < 0.05). In women, these correlations were positive but low, with SVO2peak and the relative speed expressed as a percentage of SVO2peak at SVT2 (r = 0.117; p < 0.05) and SVT1 (r = 0.107; p < 0.05).
Significant negative correlations were identified between VO2peak and the relative HR (expressed as a percentage of HRpeak) at VT2 (r = −0.197; p < 0.05) and VT1 (r = −0.169; p < 0.05) in men. Conversely, in women, significant positive correlations were detected between VO2peak and the relative HR (expressed as a percentage of HRpeak) at VT2 (r = 0.196; p < 0.05) and VT1 (r = 0.205; p < 0.05). Additionally, in men, significant positive correlations were found between SVO2peak and achieving the theoretical maximal HR (r = 0.220; p < 0.05). No statistically significant correlations between these variables were observed in the female group.
Based on these results, and with the aim of providing a simpler method for estimating training zones, Table 5 presents the proposed HR training zone estimation for runners, derived as a percentage of SVO2peak and HRpeak and categorized according to sex and performance level. Table 6 presents the proposed HR training zone estimation for runners, derived as a percentage of SVT2 and HR at VT2 and categorized according to sex and performance level.

4. Discussion

The study objectives were to analyze and present both absolute and relative values of running speed, HR, and VO2 at VT2 and VT1 in trained long-distance runners of different performance levels (ranging from beginner to elite) and of both sexes. These data were obtained from progressive incremental exercise tests performed until volitional exhaustion. The overarching goal of this study was to provide reference values to help coaches and athletes more accurately estimate training zones from a progressive exercise test, based on directly measured physiological parameters and considering potential differences related to performance level and sex.
Across the entire sample of 1411 athletes, HRVT2 was reached at 93.5 ± 2.5% of HRpeak, while HRVT1 occurred at 85.1 ± 4.6% of HRpeak. When using HRVT2 as the reference value, HRpeak represented 107.0 ± 2.9% and HRVT1 90.9 ± 3.7%. Conversely, when SVT2 was taken as the reference point, SVO2peak reached 114.4 ± 5.3%, and SVT1 amounted to 84.4 ± 4.7%. In addition, SVT2 represented 87.6 ± 3.9% of SVO2peak, SVT1 corresponded to 73.9 ± 5.5% of SVO2peak. These results provide more specific and evidence-based reference ranges derived from a large sample of long-distance runners, offering a more precise and physiologically grounded alternative to the generalized estimates commonly used by commercial training platforms [26]. In addition, the results of the study may help coaches categorize their athletes according to aerobic performance, taking into account variables such as peak speed achieved during an incremental test and years of previous training and competitive experience.
Moreover, the results of the present study partially support the third research hypothesis (i.e., that lower-performance athletes would present higher relative HR values, expressed as a percentage of HRpeak, at VT1 and VT2 compared with higher-performance athletes). Specifically, in men, both ventilatory thresholds and the HR values at these thresholds, expressed relative to VO2peak and HRpeak, respectively, were higher in athletes with low aerobic fitness than in those with very high aerobic fitness. This finding contrasts with what would be expected from a physiological standpoint [27]. For example, Benítez et al. Ref. [14] reported that as aerobic performance increases, these relative percentages also tend to be higher. However, that study included participants who were not specialized in running, and the test protocol was individualized according to each subject’s characteristics. In contrast, in the present study, all participants were experienced long-distance runners and performed the same standardized incremental running test (with only the starting speed adjusted to achieve a similar test duration across subjects) contributing to advancing the understanding of training in runners. The most plausible explanation for our results is that lower-level male athletes did not reach their VO2max during the test, stopping before achieving a VO2 plateau, thereby artificially elevating their relative values. This interpretation is supported by the correlations found in the present study, where significant negative associations were observed in men between performance, expressed as SVO2peak, and the relative HR with respect to HRpeak at VT2 (r = −0.252; p < 0.05) and VT1 (r = −0.210; p < 0.05), as well as with the achievement of the theoretical maximal HR (r = 0.220; p < 0.05). Similar results were observed by Anselmi et al. [28] who found that trained athletes showed lower relative values with respect to VO2peak and HRpeak than healthy sedentary individuals, possibly because sedentary participants do not reach VO2max. This could be explained by differences in durability between groups. In long-distance runners, one of the key variables influencing performance is durability [29]. Lower-level athletes typically exhibit reduced physiological resilience compared to their higher-performing counterparts, which may lead them to experience greater fatigue toward the end of an incremental test. This accumulated fatigue can negatively affect running economy as the test progresses, ultimately preventing them from reaching their true maximal oxygen uptake [17].
On the other hand, the third hypothesis was not supported for relative running speed, as no marked differences were found in SVT2 and SVT1 with respect to SVO2peak across performance levels. This could suggest that men may not reach their VO2max due to biomechanical limitations or muscular fatigue occurring before their physiological limit is achieved. Less experienced and lower-performing runners tend to exhibit greater deterioration in biomechanical variables that influence running economy toward the end of progressive incremental tests [30,31]. This decline may lead to premature termination of the test before reaching their true maximal aerobic power.
However, these trends were not observed in the case of female runners. The results of the present study showed a higher proportion of women reaching their theoretical maximal HR compared with men. Moreover, significant positive correlations were observed between performance, expressed as SVO2peak, and the relative HR with respect to HRpeak at VT2 and VT1. This may indicate that women are more capable of achieving their true maximal aerobic potential in this type of test across all performance levels.
This could be explained by sex-related differences in substrate utilization during endurance exercise. Women oxidize more lipids and less carbohydrate and protein compared with men, which may result in lower lactate accumulation and greater metabolic resistance to fatigue. Such metabolic efficiency could enable women to sustain higher workloads for longer periods without reaching local or systemic exhaustion before attaining the severe-intensity domain where the VO2 plateau occurs [32]. In addition, women appear to exhibit greater resistance to central fatigue, showing smaller reductions in voluntary activation during prolonged moderate-intensity efforts, which could confer an advantage in progressive endurance tests such as the one performed in this study [33]. Consistent with previous research, women also displayed higher relative values of HR, running speed, and VO2 at the ventilatory thresholds when expressed as a percentage of HRpeak, SVO2peak, and VO2peak, respectively [13,14].
Furthermore, according to the data obtained from the performance tests, considering variables such as sex and performance level when establishing reference parameters becomes essential. In men, HRVT2 represented a higher percentage of HRpeak in the lower-level groups (around 93% in low aerobic fitness and low to moderate aerobic fitness runners) compared with very high aerobic fitness runners (approximately 91%). Similarly, HRVT1 was higher in athletes with low aerobic fitness (85% of HRpeak) compared with those with very high aerobic fitness (80% of HRpeak). Women, on the other hand, showed higher relative HR values than men (supporting the first hypothesis of the study) although these remained more stable across performance levels (95% of HRpeak at VT2 and 86% at VT1). Regarding running speed, when the peak speed obtained from a progressive test is used as reference, the relative values corresponding to SVT2 and SVT1 were similar across performance levels (87% and 73%, respectively, in men; and 89% and 75% for SVT2 and SVT1, respectively, in women). This results also support the second hypothesis of the study showing higher relative running speed values (as a percentage of maximal speed reached at the test) at the ventilatory thresholds compared with male runners. Therefore, considering these data and the physiological differences that may influence the results, both performance level and sex must be taken into account when estimating exercise intensities from a progressive test in runners—particularly when using HR as the main variable to monitor intensity [13,14].
Therefore, caution should be exercised when prescribing training intensities based on general criteria without considering key factors such as sex, performance level, and the type of test used to estimate training zones (e.g., progressive vs. constant-load protocols). The increasing reliance on automated training software and wearable-based platforms has led to a growing lack of individualization in training prescription [18]. These systems often neglect to account for physiological and biomechanical differences between athletes, which may result in a mismatch between the intended and the actual metabolic state being targeted during training. Furthermore, many of these applications tend to overlook specific work on physiological milestones relevant to endurance performance, prioritizing simplicity and scalability over accuracy, particularly for coaches managing large athlete volumes. Consequently, individualized assessment and prescription remain essential to ensure optimal performance development and safeguard athlete health.
Although the reference ranges proposed in this study provide a more precise and evidence-based alternative to the generalized estimates offered by commercial platforms, individual variability remains an essential consideration. Even with improved standards, some athletes naturally fall outside the expected ranges. In this context, the increasing accessibility of metabolic testing represents a valuable tool for both athletes and coaches. Beyond helping to refine training zone estimation, these assessments provide key insights into performance determinants such as VO2max, RE, and substrate utilization profiles (e.g., Fatmax, carbohydrate oxidation rates across intensity domains), allowing for a more comprehensive and individualized approach to endurance training prescription [34].
This study makes a valuable contribution to the field by establishing new standards for estimating training zones in runners, owing to its larger sample size, while also demonstrating how the estimation of training intensities from progressive exercise tests can be influenced by both performance level and sex. However, several limitations should be considered when interpreting these results. One of the main limitations of this study is the smaller number of female participants classified as having high and very high aerobic fitness compared with their male counterparts, which may have reduced the statistical power to detect differences between performance levels in women. Additionally, the classification of athletes based solely on VO2peak values might not fully capture performance differences specific to running, as this parameter does not account for biomechanical efficiency, durability, or running economy. Another limitation is that the number of years of structured training experience was not considered in the analysis, which could have influenced the physiological responses and relative intensity values observed across groups.

5. Conclusions

The present study provides valuable reference data for estimating training intensities in long-distance runners based on progressive incremental tests, highlighting the influence of both performance level and sex. In male runners, lower-level athletes exhibited higher relative HR values at the ventilatory thresholds compared with elite athletes, likely due to not reaching their maximal aerobic performance in the test. In contrast, female runners could be more consistently able to achieve their maximal aerobic potential, showing higher and more stable relative HR and running speed values across all performance levels. These findings underscore the importance of considering individual physiological characteristics when prescribing exercise intensities and planning training, rather than relying on generalized percentages that do not account for sex, performance level or test type. Ultimately, individualized assessment and prescription remain critical to optimizing performance development, targeting specific physiological milestones, and maintaining athlete health in long-distance running.

Author Contributions

Conceptualization, J.E.-L.; methodology, J.E.-L., R.C. and H.A.-C.; software, H.A.-C.; formal analysis, H.A.-C.; data curation, J.E.-L. and H.A.-C.; writing—original draft preparation, H.A.-C.; writing—review and editing, H.A.-C., R.C., S.S.-P. and J.E.-L.; visualization, J.E.-L. and R.C.; supervision, R.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

All procedures used in this study were approved by the Alicante University Ethics Committee (protocol code: A-2017-04-11 expedient). The athletes gave their consent for their data to be published in this study. The whole data collection process followed the guidelines of the Declaration of Helsinki (approval date 11 May 2017).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author due to privacy and ethical restrictions (specify the reason for the restriction).

Acknowledgments

The authors want to thank the athletes for their cooperation in the testing process.

Conflicts of Interest

Author Jonathan Esteve-Lanao was employed by the companies All In Your Mind Training System Ciudad de México and Biking Performance Hub. He participated in the process of conceptualization, visualization, methodology, data curation, writing, editing and reviewing in the study. The role of the company was to provide the facilities. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Cejuela, R.; Esteve-Lanao, J. Quantifying the Training Load in Triathlon. In Triathlon Medicine; Springer: Cham, Switzerland, 2020; pp. 291–316. [Google Scholar] [CrossRef]
  2. Mann, T.; Lamberts, R.P.; Lambert, M.I. Methods of Prescribing Relative Exercise Intensity: Physiological and Practical Considerations. Sports Med. 2013, 43, 613–625. [Google Scholar] [CrossRef] [PubMed]
  3. López-Chicharro, J.; Fernández-Vaquero, A. Fisiología Del Ejercicio, 3rd ed.; Editorial Médica Panamericana: Madrid, Spain, 2022. [Google Scholar]
  4. Cardona, C.; Cejuela, R.; Esteve, J. Endurance Sports Training Manual, 1st ed.; Editorial Princesa: Madrid, Spain, 2019. [Google Scholar]
  5. Jones, A.M. The Fourth Dimension: Physiological Resilience as an Independent Determinant of Endurance Exercise Performance. J. Physiol. 2024, 602, 4113–4128. [Google Scholar] [CrossRef]
  6. Leo, P.; Spragg, J.; Podlogar, T.; Lawley, J.S.; Mujika, I. Power Profiling and the Power-Duration Relationship in Cycling: A Narrative Review. Eur. J. Appl. Physiol. 2022, 122, 301–316. [Google Scholar] [CrossRef]
  7. Allen, H.; Coggan, A.; Mcgregor, S. Training and Racing with a Power Meter, 2nd ed.; Velo Press: Boulder, CO, USA, 2010. [Google Scholar]
  8. Haskell, W.L.; Lee, I.M.; Pate, R.R.; Powell, K.E.; Blair, S.N.; Franklin, B.A.; MacEra, C.A.; Heath, G.W.; Thompson, P.D.; Bauman, A. Physical Activity and Public Health: Updated Recommendation for Adults from the American College of Sports Medicine and the American Heart Association. Med. Sci. Sports Exerc. 2007, 39, 1423–1434. [Google Scholar] [CrossRef] [PubMed]
  9. McGehee, J.C.; Tanner, C.J.; Houmard, J.A. A Comparison of Methods for Estimating the Lactate Threshold. J. Strength. Cond. Res. 2005, 19, 553–558. [Google Scholar] [CrossRef]
  10. Etxegarai, U.; Portillo, E.; Irazusta, J.; Arriandiaga, A.; Cabanes, I. Estimation of Lactate Threshold with Machine Learning Techniques in Recreational Runners. Appl. Soft Comput. J. 2018, 63, 181–196. [Google Scholar] [CrossRef]
  11. Nuuttila, O.P.; Kaikkonen, P.; Sievänen, H.; Vasankari, T.; Kyröläinen, H. The Accuracy of Fixed Intensity Anchors to Estimate Lactate Thresholds in Recreational Runners. Eur. J. Appl. Physiol. 2025, 125, 2161–2171. [Google Scholar] [CrossRef] [PubMed]
  12. Meyler, S.; Bottoms, L.; Wellsted, D.; Muniz-Pumares, D. Variability in Exercise Tolerance and Physiological Responses to Exercise Prescribed Relative to Physiological Thresholds and to Maximum Oxygen Uptake. Exp. Physiol. 2023, 108, 581–594. [Google Scholar] [CrossRef]
  13. Iannetta, D.; Inglis, E.C.; Mattu, A.T.; Fontana, F.Y.; Pogliaghi, S.; Keir, D.A.; Murias, J.M. A Critical Evaluation of Current Methods for Exercise Prescription in Women and Men. Med. Sci. Sports Exerc. 2020, 52, 466–473. [Google Scholar] [CrossRef]
  14. Benítez-Muñoz, J.A.; Benito, P.J.; Guisado-Cuadrado, I.; Cupeiro, R.; Peinado, A.B. Differences in the Ventilatory Thresholds in Treadmill According to Training Status in 971 Males and 301 Females: A Cross-Sectional Study. Eur. J. Appl. Physiol. 2024, 125, 499–510. [Google Scholar] [CrossRef]
  15. Hunter, S.K.; Senefeld, J.W. Sex Differences in Human Performance. J. Physiol. 2024, 602, 4129–4156. [Google Scholar] [CrossRef]
  16. Niemeyer, M.; Knaier, R.; Beneke, R. The Oxygen Uptake Plateau—A Critical Review of the Frequently Misunderstood Phenomenon. Sports Med. 2021, 51, 1815–1834. [Google Scholar] [CrossRef]
  17. Zanini, M.; Folland, J.P.; Blagrove, R.C. Durability of Running Economy: Differences between Quantification Methods and Performance Status in Male Runners. Med. Sci. Sports Exerc. 2024, 56, 2230–2240. [Google Scholar] [CrossRef]
  18. Janssen, M.; Scheerder, J.; Thibaut, E.; Brombacher, A.; Vos, S. Who Uses Running Apps and Sports Watches? Determinants and Consumer Profiles of Event Runners’ Usage of Running-Related Smartphone Applications and Sports Watches. PLoS ONE 2017, 12, e0181167. [Google Scholar] [CrossRef]
  19. Esteve-Lanao, J.; Foster, C.; Seiler, S.; Lucia, A. Impact of Training Intensity Distribution on Performance in Endurance Athletes. J. Strength. Cond. Res. 2007, 21, 943–949. [Google Scholar] [CrossRef] [PubMed]
  20. Midgley, A.W.; Bentley, D.J.; Luttikholt, H.; McNaughton, L.R.; Millet, G.P. Challenging a Dogma of Exercise Physiology: Does an Incremental Exercise Test for Valid VO2Max Determination Really Need to Last between 8 and 12 Minutes? Sports Med. 2008, 38, 441–447. [Google Scholar] [CrossRef] [PubMed]
  21. Davis, J.A. Anaerobic Threshold: Review of the Concept and Directions for Future Research. Med. Sci. Sports Exerc. 1985, 17, 6–21. [Google Scholar] [CrossRef]
  22. Tanaka, H.; Monahan, K.D.; Seals, D.R. Age-Predicted Maximal Heart Rate Revisited. J. Am. Coll. Cardiol. 2001, 37, 153–156. [Google Scholar] [CrossRef] [PubMed]
  23. Barnes, K.R.; Kilding, A.E. Running Economy: Measurement, Norms, and Determining Factors. Sports Med. Open 2015, 1, 8. [Google Scholar] [CrossRef]
  24. Cohen, J. A Power Primer. Psychol. Bull. 1992, 112, 155–159. [Google Scholar] [CrossRef]
  25. Rhea, M.R. Determining the Magnitude of Treatment Effects in Strength Training Research through the Use of the Effect Size. J. Strength. Cond. Res. 2004, 18, 918–920. [Google Scholar] [CrossRef]
  26. Zones Calculator Overview—TrainingPeaks Help Center. Available online: https://help.trainingpeaks.com/hc/en-us/articles/360017420092-Zones-Calculator-Overview (accessed on 8 October 2025).
  27. Lucía, A.; Pardo, J.; Durántez, A.; Hoyos, J.; Chicharro, J.L. Physiological Differences between Professional and Elite Road Cyclists. Int. J. Sports Med. 1998, 19, 342–348. [Google Scholar] [CrossRef] [PubMed]
  28. Anselmi, F.; Cavigli, L.; Pagliaro, A.; Valente, S.; Valentini, F.; Cameli, M.; Focardi, M.; Mochi, N.; Dendale, P.; Hansen, D.; et al. The Importance of Ventilatory Thresholds to Define Aerobic Exercise Intensity in Cardiac Patients and Healthy Subjects. Scand. J. Med. Sci. Sports 2021, 31, 1796–1808. [Google Scholar] [CrossRef] [PubMed]
  29. Jones, A.M.; Kirby, B.S. Physiological Resilience: What Is It and How Might It Be Trained? Scand. J. Med. Sci. Sports 2025, 35, e70032. [Google Scholar] [CrossRef] [PubMed]
  30. Gazeau, F.; Koralsztein, J.P.; Billat, V. Biomechanical Events in the Time to Exhaustion at Maximum Aerobic Speed. Arch. Physiol. Biochem. 1997, 105, 583–590. [Google Scholar] [CrossRef]
  31. Casado, A.; Tuimil, J.L.; Iglesias, X.; Fernández-Del-Olmo, M.; Jiménez-Reyes, P.; Martín-Acero, R.; Rodríguez, F.A. Maximum Aerobic Speed, Maximum Oxygen Consumption, and Running Spatiotemporal Parameters during an Incremental Test among Middle- and Long-Distance Runners and Endurance Non-Running Athletes. PeerJ 2022, 10, e14035. [Google Scholar] [CrossRef]
  32. Tarnopolsky, M.A. Sex Differences in Exercise Metabolism and the Role of 17-Beta Estradiol. Med. Sci. Sports Exerc. 2008, 40, 648–654. [Google Scholar] [CrossRef]
  33. Hunter, S.K. The Relevance of Sex Differences in Performance Fatigability. Med. Sci. Sports Exerc. 2016, 48, 2247–2256. [Google Scholar] [CrossRef]
  34. Joyner, M.J.; Coyle, E.F. Endurance Exercise Performance: The Physiology of Champions. J. Physiol. 2008, 586, 35–44. [Google Scholar] [CrossRef]
Figure 1. Relative heart rate according to performance level in male athletes.HR at VT2. %VO2peak = Relative heart rate values at second ventilatory threshold as percentage of the peak heart rate; HR at VT1. %VO2peak = Relative heart rate values at first ventilatory threshold as percentage of the peak heart rate; HR at VO2peak. %VT2 = Relative heart rate values at the peak value of heart rate as percentage of the heart rate at second ventilatory threshold; HR at VT1. %VT2 = Relative heart rate values at the first ventilatory threshold as percentage of the heart rate at second ventilatory threshold.
Figure 1. Relative heart rate according to performance level in male athletes.HR at VT2. %VO2peak = Relative heart rate values at second ventilatory threshold as percentage of the peak heart rate; HR at VT1. %VO2peak = Relative heart rate values at first ventilatory threshold as percentage of the peak heart rate; HR at VO2peak. %VT2 = Relative heart rate values at the peak value of heart rate as percentage of the heart rate at second ventilatory threshold; HR at VT1. %VT2 = Relative heart rate values at the first ventilatory threshold as percentage of the heart rate at second ventilatory threshold.
Sports 14 00029 g001
Figure 2. Relative heart rate according to performance level in female athletes. HR at VT2. %VO2peak = Relative heart rate values at second ventilatory threshold as percentage of the peak heart rate; HR at VT1. %VO2peak = Relative heart rate values at first ventilatory threshold as percentage of the peak heart rate; HR at VO2peak. %VT2 = Relative heart rate values at the peak value of heart rate as percentage of the heart rate at second ventilatory threshold; HR at VT1. %VT2 = Relative heart rate values at the first ventilatory threshold as percentage of the heart rate at second ventilatory threshold.
Figure 2. Relative heart rate according to performance level in female athletes. HR at VT2. %VO2peak = Relative heart rate values at second ventilatory threshold as percentage of the peak heart rate; HR at VT1. %VO2peak = Relative heart rate values at first ventilatory threshold as percentage of the peak heart rate; HR at VO2peak. %VT2 = Relative heart rate values at the peak value of heart rate as percentage of the heart rate at second ventilatory threshold; HR at VT1. %VT2 = Relative heart rate values at the first ventilatory threshold as percentage of the heart rate at second ventilatory threshold.
Sports 14 00029 g002
Figure 3. Absolute and relative peak heart rate values in very high aerobic fitness males (A), very high aerobic fitness females (B), low aerobic fitness males (C), and low aerobic fitness females (D) during a progressive exercise test.
Figure 3. Absolute and relative peak heart rate values in very high aerobic fitness males (A), very high aerobic fitness females (B), low aerobic fitness males (C), and low aerobic fitness females (D) during a progressive exercise test.
Sports 14 00029 g003
Table 1. Physiological variables obtained from the performance tests according to performance level and sex.
Table 1. Physiological variables obtained from the performance tests according to performance level and sex.
Very High Aerobic FitnessHigh Aerobic FitnessModerately Aerobic FitnessLow to Moderate Aerobic FitnessLow Aerobic Fitness
Malen = 22n = 35n = 156n = 258n = 348
VO2peak (mL·kg−1·min−1)79.2 ± 4.472.8 ± 1.365.9 ± 2.557.8 ± 2.246.6 ± 5.5
Years of experience (n)9.7 ± 1.68.1 ± 2.66.1 ± 2.54.2 ± 2.03.1 ± 1.7
SVO2peak (km/h)22.0 ± 1.120.9 ± 1.418.6 ± 1.916.4 ± 1.414.0 ± 1.8
Economy (mL·kg−1·min−1)194.5 ± 16.4199.0 ± 22.6207.1 ± 27.2218.0 ± 25.2219.7 ± 25.8
SVT2 (km/h)19.2 ± 0.618.1 ± 1.416.1 ± 1.714.2 ± 1.412.1 ± 1.6
SVT1 (km/h)15.5 ± 0.715.3 ± 1.013.6 ± 1.311.9 ± 1.210.2 ± 1.5
%VO2peak VT2 (%)83.8 ± 5.185.1 ± 4.885.9 ± 5.687.1 ± 5.987.4 ± 5.3
%VO2peak VT1 (%)67.5 ± 5.969.1 ± 6.470.1 ± 8.573.2 ± 6.973.4 ± 8.3
THRmax (%)83.677.473.165.363.2
Femalen = 6n = 16n = 56n = 105n = 409
VO2max (mL·kg−1·min−1)68.4 ± 1.863.3 ± 1.458.0 ± 1.752.4 ± 1.740.9 ± 6.1
Years of experience (n)8.2 ± 1.37.3 ± 2.45.4 ± 2.33.8 ± 1.72.6 ± 1.4
Economy (mL·kg−1·min−1)203.4 ± 23.6204.5 ± 24.9215.2 ± 23.8225.9 ± 25.3223.6 ± 24.9
SVO2peak (km/h)17.7 ± 0.617.7 ± 1.216.3 ± 1.214.5 ± 1.312.2 ± 1.9
SVT2 (km/h)15.8 ± 0.415.6 ± 0.914.4 ± 0.912.9 ± 1.110.7 ± 1.7
SVT1 (km/h)13.6 ± 0.513.3 ± 0.912.6 ± 1.011.1 ± 1.29.1 ± 1.6
%VO2peak VT284.5 ± 5.688.4 ± 3.689.0 ± 4.988.0 ± 5.488.1 ± 6.9
%VO2peak VT169.2 ± 7.572.7 ± 5.377.3 ± 7.075.3 ± 7.775.1 ± 9.3
THRmax (%)83.381.374.471.171.9
Note: VO2peak = Peak value of oxygen consumption; mL = millilitres; Kg = kilograms; min = minute; SVO2peak = Speed corresponding to peak oxygen consumption; km = kilometre; h = Hour; SVT2 = Speed corresponding to second ventilatory threshold; SVT1 = Speed corresponding to first ventilatory threshold; %VO2peak VT2 = Percentage of oxygen consumption relative to peak oxygen consumption at second ventilatory threshold; %VO2peak VT1 = Percentage of oxygen consumption relative to peak oxygen consumption at first ventilatory threshold; VO2max Plateau = Percentage of the sample that reached the plateau in oxygen consumption; THRmax = Percentage of the sample that reached the theoretical maximum heart rate.
Table 2. Relative heart rate and running speed according to performance level and sex.
Table 2. Relative heart rate and running speed according to performance level and sex.
GlobalVery High Aerobic FitnessHigh Aerobic FitnessModerately Aerobic FitnessLow to Moderate Aerobic FitnessLow Aerobic Fitness
Malen = 819n = 22n = 35n = 156n = 258n = 348
%HRpeak
VT2 (%)93.0 ± 2.5 *90.8 ± 2.1 *91.9 ± 2.4 *92.7 ± 2.5 *93.0 ± 2.5 *93.4 ± 2.4 *
VT1(%)84.2 ± 4.7 *80.5 ± 3.9 *81.8 ± 4.7 *83.3 ± 5.2 *84.5 ± 4.2 *84.8 ± 4.6 *
%VT2. HR
VO2peak (%)107.6 ± 2.6 *110.2 ± 2.6 *108.7 ± 2.9107.9 ± 2.3 *107.6 ± 2.9 *107.1 ± 2.8 *
VT1(%)86.9 ± 3.9 *88.6 ± 4.688.9 ± 3.9 *89.8 ± 3.9 *90.8 ± 3.5 *90.7 ± 3.7 *
%SVO2peak
VT2 (%)86.9 ± 3.9 *86.5 ± 3.686.7 ± 3.786.8 ± 3.9 *86.7 ± 3.8 *87.1 ± 4.0 *
VT1(%)73.1 ± 5.1 *72.8 ± 3.8 *73.5 ± 3.973.1 ± 5.0 *73.2 ± 4.7 *72.9 ± 5.6 *
%SVT2S
VO2peak (%)115.3 ± 5.3 *115.8 ± 4.9115.6 ± 5.1115.4 ± 5.4 *115.6 ± 5.2 *115.0 ± 5.4 *
VT1 (%)84.1 ± 4.5 *84.1 ± 3.4 *84.8 ± 3.484.2 ± 4.6 *84.4 ± 4.2 *83.7 ± 4.8
Femalen = 592n = 6n = 16n = 56n = 105n = 409
%HRpeak
VT2 (%)94.2 ± 2.2 *94.7 ± 1.9 *93.9 ± 1.9 *94.9 ± 2.0 *94.7 ± 2.2 *94.0 ± 2.3 *
VT1 (%)86.2 ± 4.3 *86.2 ± 3.6 *85.9 ± 4.9 *87.4 ± 3.6 *87.3 ± 3.6 *86.0 ± 4.5 *
%VT2. HR
VO2peak (%)106.2 ± 2.6 *105.6 ± 2.6 *106.5 ± 2.2105.4 ± 2.2 *105.6 ± 2.5 *106.4 ± 2.6 *
VT1 (%)91.6 ± 3.5 *91.1 ± 2.891.5 ± 4.1 *92.0 ± 2.8 *92.2 ± 2.8 *91.3 ± 3.7 *
%SVO2peak
VT2 (%)88.6 ± 3.8 *89.4 ± 3.787.9 ± 3.488.9 ± 3.4 *89.5 ± 3.2 *88.4 ± 3.9 *
VT1 (%)75.2 ± 5.8 *76.8 ± 2.9 *75.2 ± 3.677.5 ± 3.3 *76.7 ± 4.9 *74.5 ± 6.2 *
%SVT2
VO2peak (%)113.0 ± 4.9 *112.0 ± 4.8113.9 ± 4.4112.6 ± 4.3 *111.9 ± 4.1 *113.3 ± 5.2 *
VT1 (%)84.8 ± 4.9 *86.0 ± 3.0 *85.7 ± 3.087.2 ± 2.9 *85.7 ± 4.3 *84.2 ± 5.1
Note: * = Statistically significative difference between sex; %HRpeak = Relative heart rate values as percentage of the peak heart rate; VT2 = Second ventilatory threshold; VT1 = First ventilatory threshold; VO2peak = Peak value of oxygen consumption; %VT2. HR = Relative heart rate values as percentage of the heart rate at second ventilatory threshold; %SVO2peak = Relative speed value as a percentage of the speed at peak value of oxygen consumption; %SVT2 = Relative speed value as a percentage of the speed at second ventilatory threshold.
Table 3. Differences in relative heart rate at second ventilatory threshold as percentage of heart rate peak between groups: statistical significance and Cohen’s d effect size.
Table 3. Differences in relative heart rate at second ventilatory threshold as percentage of heart rate peak between groups: statistical significance and Cohen’s d effect size.
Very High Aerobic FitnessHigh Aerobic FitnessModerately Aerobic FitnessLow to Moderate Aerobic Fitness
MalesHigh aerobic fitnessp0.066
ES−0.51
Moderately aerobic fitnessp0.0010.128
ES−0.78−0.29
Low to moderate aerobic fitnessp<0.0010.0270.238
ES−0.88−0.4−0.12
Low aerobic fitnessp<0.0010.0010.0020.03
ES−1.05−0.6−0.3−0.18
FemalesHigh aerobic fitnessp0.391
ES0.42
Moderately aerobic fitnessp0.8230.079
ES−0.10−0.5
Low to moderate aerobic fitnessp0.9740.1540.651
ES−0.14−0.380.08
Low aerobic fitnessp0.4530.8440.0050.003
ES0.31−0.050.40.32
Note: p = Statistical significance; ES: Effect size.
Table 4. Differences in relative heart rate first ventilatory threshold as percentage of heart rate peak between groups: statistical significance and Cohen’s d effect size.
Table 4. Differences in relative heart rate first ventilatory threshold as percentage of heart rate peak between groups: statistical significance and Cohen’s d effect size.
Very High Aerobic FitnessHigh Aerobic FitnessModerately Aerobic FitnessLow to Moderate Aerobic Fitness
MalesHigh aerobic fitnessp0.266
ES−0.31
Moderately aerobic fitnessp0.0140.120
ES−0.57−0.29
Low to moderate aerobic fitnessp<0.0010.0010.015
ES−0.96−0.63−0.40
Low aerobic fitnessp<0.001<0.0010.0020.508
ES−0.94−0.63−0.30−0.05
FemalesHigh aerobic fitnessp0.905
ES0.06
Moderately aerobic fitnessp0.4650.210
ES−0.32−0.36
Low to moderate aerobic fitnessp0.4650.1780.949
ES−0.31−0.290.11
Low aerobic fitnessp0.8440.9350.0160.002
ES0.080.020.340.34
Note: p = Statistical significance; ES: Effect size.
Table 5. Proposed heart rate and speed training zones estimation in runners based on the maximal speed achieved during progressive exercise test, according to sex and performance level.
Table 5. Proposed heart rate and speed training zones estimation in runners based on the maximal speed achieved during progressive exercise test, according to sex and performance level.
Very High Aerobic FitnessHigh Aerobic FitnessModerately Aerobic FitnessLow to Moderate Aerobic FitnessLow Aerobic Fitness
MaleSpeed Zones
SVO2peak (%)99–10199–10199–10199–10199–101
SVT2 (%)86–8886–8886–8886–8886–88
SVT1 (%)72–7472–7472–7472–7472–74
Heart rate zones
HRpeak (%)99–10199–10199–10199–10199–101
HRVT2 (%)90–9291–9391.5–93.592–9492.5–94.5
HRVT1 (%)79–8181–8382–8483.5–85.584–86
FemaleSpeed Zones
SVO2peak (%)99–10199–10199–10199–10199–101
SVT2 (%)88–9087–8988–9088–9087–89
SVT1(%)76–7874–7676–7876–7874–76
Heart rate zones
HRpeak (%)99–10199–10199–10199–10199–101
HRVT2 (%)94–9693–9594–9694–9693–95
HRVT1 (%)85–8785–8786–8886–8885–87
Note: SVO2peak (%) = Relative speed value as a percentage of the speed at peak value of oxygen consumption; SVT2 (%) = Relative speed value as a percentage of the speed at peak value of oxygen consumption at second ventilatory threshold; SVT1 (%) = Relative speed value as a percentage of the speed at peak value of oxygen consumption at first ventilatory threshold; HRpeak (%) = Relative heart rate values as percentage of the peak heart rate; HRVT2 (%) = Relative heart rate values as percentage of the peak heart rate at second ventilatory threshold; HRVT1 (%) = Relative heart rate values as percentage of the peak heart rate at first ventilatory threshold.
Table 6. Proposed heart rate and speed training zones estimation in runners based on the speed at the ventilatory threshold 2 during progressive exercise test, according to sex and performance level.
Table 6. Proposed heart rate and speed training zones estimation in runners based on the speed at the ventilatory threshold 2 during progressive exercise test, according to sex and performance level.
Very High Aerobic FitnessHigh Aerobic FitnessModerately Aerobic FitnessLow to Moderate Aerobic FitnessLow Aerobic Fitness
MaleSpeed Zones
SVO2peak (%)114–116115–117114.5–116.5114.5–116.5114.5–116.5
SVT2 (%)99–10199–10199–10199–10199–101
SVT1 (%)83–8584–8683–8583.5–85.583–85
Heart rate zones
HRpeak (%)109–111108–110107–109106.5–108.5106–108
HRVT2 (%)99–10199–10199–10199–10199–101
HRVT1 (%)86–8987.5–89.588–9089–9190–92
FemaleSpeed Zones
SVO2peak (%)111–113113–115111.5–113.5111–113112–114
SVT2 (%)99–10199–10199–10199–10199–101
SVT1(%)85–8785–8786–8885–8783–85
Heart rate zones
HRpeak (%)104.5–106.5105.5–107.5104.5–106.5104.5–106.5105.5–107.5
HRVT2 (%)99–10199–10199–10199–10199–101
HRVT1 (%)90–9290.5–92.591–9391–9391–93
Note: SVO2peak (%) = Relative speed value as a percentage of the speed at peak value of oxygen consumption; SVT2 (%) = Relative speed value as a percentage of the speed at peak value of oxygen consumption at second ventilatory threshold; SVT1 (%) = Relative speed value as a percentage of the speed at peak value of oxygen consumption at first ventilatory threshold; HRpeak (%) = Relative heart rate values as percentage of the peak heart rate; HRVT2 (%) = Relative heart rate values as percentage of the peak heart rate at second ventilatory threshold; HRVT1 (%) = Relative heart rate values as percentage of the peak heart rate at first ventilatory threshold.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Esteve-Lanao, J.; Sellés-Pérez, S.; Arévalo-Chico, H.; Cejuela, R. Towards Accurate Reference Values for Heart Rate and Speed Zones by Aerobic Fitness and Sex in Long-Distance Runners. Sports 2026, 14, 29. https://doi.org/10.3390/sports14010029

AMA Style

Esteve-Lanao J, Sellés-Pérez S, Arévalo-Chico H, Cejuela R. Towards Accurate Reference Values for Heart Rate and Speed Zones by Aerobic Fitness and Sex in Long-Distance Runners. Sports. 2026; 14(1):29. https://doi.org/10.3390/sports14010029

Chicago/Turabian Style

Esteve-Lanao, Jonathan, Sergio Sellés-Pérez, Héctor Arévalo-Chico, and Roberto Cejuela. 2026. "Towards Accurate Reference Values for Heart Rate and Speed Zones by Aerobic Fitness and Sex in Long-Distance Runners" Sports 14, no. 1: 29. https://doi.org/10.3390/sports14010029

APA Style

Esteve-Lanao, J., Sellés-Pérez, S., Arévalo-Chico, H., & Cejuela, R. (2026). Towards Accurate Reference Values for Heart Rate and Speed Zones by Aerobic Fitness and Sex in Long-Distance Runners. Sports, 14(1), 29. https://doi.org/10.3390/sports14010029

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