Skip to main content
Lippincott Open Access logoLink to Lippincott Open Access
. 2023 Feb 2;37(9):1815–1820. doi: 10.1519/JSC.0000000000004471

Functional Threshold Power Field Test Exceeds Laboratory Performance in Junior Road Cyclists

Giovanni Vinetti 1,2,, Huber Rossi 3, Paolo Bruseghini 1, Marco Corti 4, Guido Ferretti 1, Simone Piva 5, Anna Taboni 1, Nazzareno Fagoni 1
PMCID: PMC10448799  PMID: 36692223

Abstract

Vinetti, G, Rossi, H, Bruseghini, P, Corti, M, Ferretti, G, Piva, S, Taboni, A, and Fagoni, N. The functional threshold power field test exceeds laboratory performance in junior road cyclists. J Strength Cond Res 37(9): 1815–1820, 2023—The functional threshold power (FTP) field test is appealing for junior cyclists, but it was never investigated in this age category, and even in adults, there are few data on FTP collected in field conditions. Nine male junior road cyclists (16.9 ± 0.8 years) performed laboratory determination of maximal aerobic power (MAP), 4-mM lactate threshold (P4mM), critical power (CP), and the curvature constant (W′), plus a field determination of FTP as 95% of the average power output during a 20-minute time trial in an uphill road. The level of significance was set at p < 0.05. Outdoor FTP (269 ± 34 W) was significantly higher than CP (236 ± 24 W) and P4mM (233 ± 23 W). The V˙O2peak of the field FTP test (66.9 ± 4.4 ml·kg−1·min−1) was significantly higher than the V˙O2peak assessed in the laboratory (62.7 ± 3.7 ml·kg−1·min−1). Functional threshold power was correlated, in descending order, with MAP (r = 0.95), P4mM (r = 0.94), outdoor and indoor V˙O2peak (r = 0.93 and 0.93, respectively), CP (r = 0.84), and W′ (r = 0.66). It follows that in junior road cyclists, the FTP field test was feasible and related primarily to aerobic endurance parameters and secondarily, but notably, to W′. However, the FTP field test significantly exceeded all laboratory performance tests. When translating laboratory results to outdoor uphill conditions, coaches and sport scientists should consider this discrepancy, which may be particularly enhanced in this cycling age category.

Key Words: adolescent, critical power, functional threshold power, power meter, training, uphill

Introduction

Performance in long-lasting cycling races can be evaluated with several laboratory-derived and field-derived parameters (18,30). Among them, the functional threshold power (FTP) has been defined as 95% of the average power output (PO) during a 20-minute time trial (TT) in the field measured with a power meter and has been proposed as a surrogate of the maximal PO sustainable for 1 hour (1). Despite its widespread use in professional and amateur cyclists, there is incomplete agreement on the relationships between FTP and traditional exercise intensity boundaries (21). Moreover, although it was intended to be a field test, studies on the physiological underpinnings of FTP were mostly confined to the laboratory setting, where mixed agreement was found with a 60-minute TT (3,20,23), as well as the ventilatory compensation point (2,33), the individual anaerobic threshold (3,20), the Dmax lactate threshold (23,32,35), the 4 mM (16,32) lactate threshold (P4mM), the maximal lactate steady state (4,15,19), and the critical power (CP) (17,24,27), with most studies refuting interchangeability. The 20-minute TT naturally evokes the concept of PO–duration (Tlim) relationship (18), its simplest hyperbolic form being Tlim = W′/(PO–CP), where the curvature constant W′ (the amount of work that can be performed above CP) interestingly resulted unrelated to FTP (27). The need of further studies assessing FTP in outdoor conditions was recently highlighted (21), since only 2 studies have investigated the outdoor FTP test to date (both with the modified protocol of 90% of the average PO of an 8-minute TT): 1 (11) reported an FTP not significantly different from P4mM and the other (31) an FTP greater but significantly related to P4mM. However, these field results should be taken with caution because of the different bicycles used in the laboratory and field testing (11) or the heterogeneous models of power meters used (31).

The simplicity of the outdoor 20-minute TT could make it also appealing for testing and training of junior road cyclists, but, to the best of our knowledge, it has never been investigated in this age category. Thus, this study aimed to assess the FTP test in field conditions in junior road cyclists and to compare it with laboratory-derived parameters.

Methods

Experimental Approach to the Problem

A junior road cycling team performed (a) an indoor incremental test for the determination of P4mM and the maximal aerobic power (MAP) (metabolic, V˙O2peak and mechanical, MAP), (b) 4 indoor constant-power trials to estimate CP and W′, and (c) an outdoor 20-minute TT to calculate FTP. All tests were conducted at least 24 hours apart and concluded within 15 days.

Subjects

Nine male junior road cyclists (16.9 ± 0.8 years, range 16.0-18.0, 174 ± 5 cm, 65.7 ± 7.6 kg, body fat 9.5 ± 2.2% (8)) were enrolled and completed the study. They were informed about the aims, the procedures, and risks associated with the tests, and they (or their legal representatives if minors) signed a written informed consent form. This study conformed to the Declaration of Helsinki and was approved by the University of Brescia Institutional Review Board. They were asked to avoid heavy exercise and have proper hydration in the 24 hours before each experiment, to have a light meal without coffee intake 2–4 hours before the tests, and to maintain the training workload constant throughout the study period.

Procedures

In all tests, subjects were on their own road bicycle equipped with a crank-based power meter (Power2max, Type S, Chemnitz, Germany), wearing a portable metabolic cart (K5, COSMED, Rome, Italy) and a heart rate (HR) monitor (HRM-Dual, Garmin, Olathe, KS). The 30-second rolling average of oxygen consumption (V˙O2) was measured every 10 seconds at the mouth with dynamic micro mixing chamber technology. The gas analyzers (a galvanic fuel cell O2 sensor and an infrared CO2 meter) were calibrated with ambient air, with the use of a CO2 scrubber sodium and calcium hydroxides and with a mixture of known gases (O2 16%, CO2 5%, and N2 as balance) and the turbine flowmeter by means of a 3-L syringe as per manufacturer's guidelines. Capillary blood lactate concentration ([La]) was assessed by an electroenzymatic method (Arkray, Lactate Pro 2, Kyoto, Japan) in 0.3 μL samples taken from the earlobe.

Indoor tests were performed in a sports medicine laboratory (Marathon Sport Medical Center, Brescia, Italy) between 2 and 6 pm. Ambient temperature and relative humidity were 20.2 ± 1.2 °C and 52.5 ± 4.6%, respectively. At the first visit, body mass, height, and skinfold thickness (8) were recorded. Then, subjects performed an incremental test against an electronically controlled magnetic brake mounted in place of the rear wheel of the bicycle (Jarvis Magnetic Days, ORF, Arezzo, Italy). Magnetic resistance was electronically regulated to keep PO independent of pedal cadence, starting from 100 W and then increasing by 50 W every 4 minutes until exhaustion. To be consistent with field conditions only the PO measured by the Power2max power meter was used for this, and all the subsequent tests. [La] was assessed at the end of each step and at minute 1, 3, and 5 of recovery. P4mM was assessed by linear interpolation between PO and [La] (7), whereas MAP by linear extrapolation between PO and steady-state V˙O2 (60-second average) up to V˙O2peak, which was determined as the highest 30-second average. Gross efficiency for high-intensity exercise in the laboratory setting was calculated as the ratio between the PO and steady-state V˙O2 of the first step above P4mM.

On separate days, subjects returned to the laboratory to perform 4 constant-power trials to exhaustion. Power output was selected based on MAP (38): the first 3 trials were at 90, 100, and 110% of MAP, administered in a random order; the last was either 85 or 95% of MAP with the aim to have the longer Tlim between 12 and 20 minutes (22). Trials were preceded by a standardized warm-up (20 minutes from 50 to 60% of MAP, then 3 × 60 second sprints up to 100% of MAP interspersed by 60 seconds of rest), 5 minutes of rest for instrumentation, and 60 seconds at 50% of MAP after which the trial's PO was suddenly applied. Standardized verbal encouragement was provided, and Tlim was retained when pedal cadence remained below 70 min−1 for more than 10 seconds despite warning. [La] was assessed after warm-up and at minute 1, 3, and 5 of recovery. The power-duration relationship was analyzed with the 2-parameter hyperbolic model (28).

The 20-minute TT was performed in an outdoor uphill road (Monte Maddalena, Brescia, Italy) with an average gradient of 6.7% (Figure 1), on another separate day between 2 and 5 pm. Ambient temperature and relative humidity were 10.1 ± 2.9 °C and 65.2 ± 9.2%, respectively. The TT was preceded by the same standardized stationary warm-up as described above and 5 minutes of rest for instrumentation. [La] was assessed after warm-up and at minute 1, 3, and 5 of recovery. Functional threshold power was calculated by multiplying TT average PO by 0.95 (1). Gross efficiency for the FTP test was calculated as the ratio between the average PO and the average V˙O2 of the last 15 minutes of the TT.

Figure 1.

Figure 1.

Altimetric profile of the ascent. Labels refer to average grade of each kilometer.

Statistical Analyses

Variables and parameters were compared by means of Bland-Altman plots and reduced major axis linear regression analysis. Values are reported as mean ± standard deviation. The power-duration relationship was fitted by means of geometric mean nonlinear regression method to account for the presence of heteroscedastic random error both in Tlim and PO for biological and technological reasons, respectively (37,39). Repeated measures one-way analysis of variance (ANOVA) was used to compare variables between constant-power trials, and the Tukey post hoc test was performed to locate significant difference. The effect size was determined by Cohen's d and classified with the Hopkins criteria: 0–0.2 trivial, 0.2–0.6 small, 0.6–1.2 moderate, 1.2–2.0 large, and >2.0 very large (14).The level of significance was set at p < 0.05 The statistical package SPSS (Version 23.00, IBM Corp., Armonk, NY) was used.

Results

Laboratory Tests

A graphical summary of laboratory and field tests is presented in Figure 2. Incremental test peak values of PO, HR, and [La] were 309 ± 30 W, 198 ± 5 beats·min−1, and 11.0 ± 1.7 mM, respectively. V˙O2peak was 4.1 L/min (62.7 ± 3.7 ml·kg−1·min−1), and extrapolated MAP was 276 ± 28 W. Peak V˙O2 and average pedal cadence were constant across all laboratory tests (p = 0.48 and 0.50, respectively). There was a significant effect of the laboratory test on peak HR and [La] (p = 0.02 and 0.002, respectively). Peak HR of the 3 shorter constant-power trials was moderately lower than the incremental test (d = 0.8–1.2), and peak [La] of the 2 longest constant-power trials was largely lower than the incremental test and the shorter constant-power trial (d = 1.6 for both). Post–warm-up [La] was 1.6 ± 0.7 mM. Critical power and W′ estimates were 236 ± 24 W and 20.7 ± 4.7 kJ (SE = 11 ± 9 W and 5.2 ± 5.6 kJ, respectively). P4mM was 233 ± 23 W, not significantly different from CP (p = 0.66, d = 0.1) and in fair agreement with it (bias 2 ± 13 W, 95% limits of agreement −28 to +24 W, r = 0.84). Critical power and P4mM were in good correlation with MAP (r = 0.82 and 0.94, respectively) and with V˙O2peak (r = 0.90 for both).

Figure 2.

Figure 2.

Average power–duration data from the laboratory constant-power trials (open dots) and the field 20-minute time trial (filled dot) and derived parameters: CP (continuous line), FTP (dotted line), P4mM (dashed line). Error bars show standard deviation. CP = critical power; FTP = functional threshold power; P4mM = PO at the 4-mM blood lactate concentration; PO = power output; Tlim = duration.

Functional Threshold Power Field Test

Post–warm-up [La] was 2.0 ± 0.6 mM (p = 0.11 vs laboratory). Subjects adopted a positive pacing strategy, with a decrease of −2 ± 1 W·min−1 in PO throughout the TT. Mean PO of the TT (283 ± 35 W) significantly outperformed the prediction calculated from the indoor power-duration relationship (p < 0.001, d = 1.0), and FTP resulted 269 ± 34 W (Figure 2). Physiological measurements obtained during the field 20-minute TT and the incremental test are compared in Table 1. The V˙O2peak of the 20-minute TT was moderately higher than that of the indoor incremental test (p < 0.001, d = 1.0). Correlations and agreements are shown in Figure 3. Functional threshold power was significantly higher than CP and P4mM (p < 0.001 and d = 1.2 for both) although in good correlation with them (r = 0.84 and 0.94 respectively). Functional threshold power was not significantly different from MAP (p = 0.10, d = 0.2) and highly correlated with MAP (r = 0.95) and indoor and outdoor V˙O2peak (r = 0.92 and 0.93, respectively). Moreover, FTP was modestly correlated with W′ (r = 0.66).

Table 1.

Selected parameters of the FTP field test and the incremental test, whose peak values were used as a reference.*,

FTP field test Incremental test Effect size (d)
Temperature °C 10.1 ± 2.9 20.2 ± 1.2 4.6
Relative humidity 65.2 ± 9.2% 52.5% ± 4.6% 1.7
Mechanical power W 283.2 ± 35.5 (average) 276.3 ± 27.7 (MAP) 0.2
Average cadence rpm 88.2 ± 5.1 99.2 ± 9.3 1.5
Peak HR bpm 193.4 ± 6.2 198.1 ± 5.3 0.9
Average HR bpm 189.7 ± 6.1
Peak [La] mM 8.4 ± 1.9 11.0 ± 1.7 1.5
Peak V˙O2 ml·kg−1·min−1 66.9 ± 4.4 62.7 ± 3.7 1.0
Average V˙O2 ml·kg−1·min−1 63.4 ± 3.7
Gross efficiency 19.0 ± 1.3% 19.0 ± 0.8% 0.0
*

FTP = functional threshold power; MAP = maximal aerobic power; HR = heart rate.

Average HR and oxygen consumption rate (V˙O2) were calculated from the last 15 minutes of the FTP field test.

p < 0.05 vs. incremental test.

Figure 3.

Figure 3.

Comparison of selected laboratory parameters with the FTP. FTP = functional threshold power; CP = critical power; P4mM = power output at the 4-mM blood lactate concentration; MAP = maximal aerobic power of the incremental test; V˙O2peak = peak oxygen consumption of the incremental test; W′ = curvature constant of the CP model.

Discussion

This study was one of the few assessing FTP in field conditions, as well as the very first to involve junior road cyclists and a substantial uphill grade (6.7%). The bioenergetics underlying the 20-minute TT was confirmed mostly aerobic and FTP was closely related, in descending order, with MAP, V˙O2peak, P4mM, and CP, as already known for adults (5,16,17,24,27). For the first time, contrarily to previous findings (27), also W′ was also found to be moderately related to FTP. This finding is not incompatible with the primary aerobic nature of the 20-minute TT, since, although W′ is limited by intramuscular metabolites typical of the anaerobic metabolism (12), it represents the whole energy store available above CP thus including a great aerobic component (9,36). Moreover, the average PO of the 20-minute TT must rely on a complete W′ expenditure, thus the correlation with W′ remains statistically unaltered if that PO is multiplied by any constant, as 0.95 in the case of FTP.

Strikingly, contrary to laboratory studies in adults, the outdoor 20-minute TT outperformed laboratory tests. The fact that field FTP was essentially equal to laboratory MAP (Figure 3) is to be considered accidental, as MAP can be sustained only for a limited amount of time (although it may not be much above CP in endurance athletes (10,13)). Several theories and facts could be called on to explain this performance increase during the outdoor TT. Motivational issues can be ruled out, as the 20-minute TT was not able to elicit a peak HR or [La] higher than in laboratory conditions, although the HR response may have been attenuated by the lower air temperature in the field by a reduced cardiovascular drift (40). Cycling efficiency was unchanged with respect to the laboratory, in agreement with previous findings regarding high-intensity cycling in uphill and flat terrains (26), despite the higher relative exercise intensity would have suggested a reduction in efficiency due to a higher amplitude of the slow component of the V˙O2 kinetics (10,12). Therefore, the increase in performance in the field was possible mainly because of a higher V˙O2peak coupled with a preserved efficiency. It is known that higher PO may be attained in outdoor vs indoor (25) and in uphill vs flat terrain (29,34), in particular when stationary cycling on an ergometer is compared with free cycling in the field (5,6,25). Recently, it was found that professional cyclists achieved the highest maximal mean PO values at an apparently optimal average gradient of 6–7% (34), strikingly similar to the 6.7% of our 20-minute TT (Figure 1). Riding out of the saddle could also contribute to the increase in short-term PO (26), although our subjects adopted this position only for a handful of seconds across the 20-minute TT. Therefore, high-intensity cycling performed uphill and without restrictions imposed by a stationary trainer is likely to have allowed junior road cyclists to recruit greater muscle mass (e.g., during lateral oscillations), thus enticing a greater V˙O2peak (9) and its sustainable fraction for 20 minutes. Moreover, the cooler air temperature in the field could have prevented the heat-induced decrease in V˙O2peak associated with the cardiovascular drift, a phenomenon that likely occurred in the laboratory (40). These findings strengthen the concept that, despite correlations between performance parameters often correlate to each other irrespective of testing conditions, their absolute validity and the derived boundaries between power training zones are specific to those conditions. The effect of unconstrained cycling, uphill grade, and ambient temperature on FTP should be investigated separately in future studies.

In conclusion, in junior road cyclists, the FTP test resulted feasible and related primarily to aerobic endurance parameters and, secondarily but notably, to W′. However, absolute performance was significantly higher in outdoor uphill conditions with respect to the laboratory.

Practical Applications

In junior road cyclists, FTP was closely related to aerobic endurance parameters and partially also to W′. However, outdoor uphill conditions where the FTP test took place were responsible for a significant improvement in PO with respect to laboratory predictions. Specifically, outdoor 20-minute mean PO was 12% higher than that predicted from the indoor power-duration relationship, and the resulting FTP was 14–15% higher than indoor CP and P4mM. When translating laboratory results to outdoor training-intensity prescription or performance predictions, coaches and sport scientists should consider these discrepancies, which may be particularly enhanced in this cycling age category.

Acknowledgments

The authors are grateful to Marco Sbragi of Gobat Srl, Foiano della Chiana, Arezzo, Italy, for his technical assistance. The authors have no conflicts of interest or founding sources to disclose.

Contributor Information

Huber Rossi, Email: huber.rossi@marathoncenter.it.

Paolo Bruseghini, Email: paolo.bruseghini@gmail.com.

Marco Corti, Email: clamar.cc@tiscali.it.

Guido Ferretti, Email: guido.ferretti@unibs.it.

Simone Piva, Email: simone.piva@unibs.it.

Anna Taboni, Email: anna.taboni.88@gmail.com.

Nazzareno Fagoni, Email: nazzareno.fagoni@unibs.it.

References

  • 1.Allen H, Coggan AR. Training and Racing with a Power Meter (3rd ed.). Boulder, CO: VeloPress, 2019. [Google Scholar]
  • 2.Barranco-Gil D, Gil-Cabrera J, Valenzuela PL, et al. Functional threshold power: Relationship with respiratory compensation point and effects of various warm-up protocols. Int J Sports Physiol Perform 15: 1047–1051, 2020. [DOI] [PubMed] [Google Scholar]
  • 3.Borszcz F, Tramontin A, Bossi A, Carminatti L, Costa V. Functional threshold power in cyclists: Validity of the concept and physiological responses. Int J Sports Med 39: 737–742, 2018. [DOI] [PubMed] [Google Scholar]
  • 4.Borszcz FK, Ferreira Tramontin A, Pereira Costa V. Is the functional threshold power interchangeable with the maximal lactate steady state in trained cyclists? Int J Sports Physiol Perform 14: 1029–1035, 2019. [DOI] [PubMed] [Google Scholar]
  • 5.Bossi AH, Lima P, Lima JPde, Hopker J. Laboratory predictors of uphill cycling performance in trained cyclists. J Sports Sci 35: 1364–1371, 2017. [DOI] [PubMed] [Google Scholar]
  • 6.Bouillod A, Pinot J, Soenen F, Ouvrard T, Grappe F. Dependence of the nature of the pedaling activity on maximal aerobic power in cycling. Int J Sports Physiol Perform 12: 44–49, 2017. [DOI] [PubMed] [Google Scholar]
  • 7.Dantas JL, Doria C, Rossi H, et al. Determination of blood lactate training zone boundaries with rating of perceived exertion in runners. J Strength Cond Res 29: 315–320, 2015. [DOI] [PubMed] [Google Scholar]
  • 8.Evans EM, Rowe DA, Misic MM, Prior BM, Arngrímsson SÁ. Skinfold prediction equation for athletes developed using a four-component model. Med Sci Sports Exerc 37: 2006–2011, 2005. [DOI] [PubMed] [Google Scholar]
  • 9.Ferretti G. Maximal oxygen consumption in healthy humans: Theories and facts. Eur J Appl Physiol 114: 2007–2036, 2014. [DOI] [PubMed] [Google Scholar]
  • 10.Ferretti G, Fagoni N, Taboni A, Vinetti G, di Prampero PE. A century of exercise physiology: Key concepts on coupling respiratory oxygen flow to muscle energy demand during exercise. Eur J Appl Physiol 122: 1317–1365, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gavin TP, Van Meter JB, Brophy PM, et al. Comparison of a field-based test to estimate functional threshold power and power output at lactate threshold. J Strength Cond Res 26: 416–421, 2012. [DOI] [PubMed] [Google Scholar]
  • 12.Goulding RP, Rossiter HB, Marwood S, Ferguson C. Bioenergetic mechanisms linking V˙O2 kinetics and exercise tolerance. Exerc Sport Sci Rev 49: 274–283, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Heubert RAP, Billat VL, Chassaing P, et al. Effect of a previous sprint on the parameters of the work-time to exhaustion relationship in high intensity cycling. Int J Sports Med 26: 583–592, 2005. [DOI] [PubMed] [Google Scholar]
  • 14.Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 41: 3–12, 2009. [DOI] [PubMed] [Google Scholar]
  • 15.Inglis EC, Iannetta D, Passfield L, Murias JM. Maximal lactate steady state versus the 20-minute functional threshold power test in well-trained individuals: “Watts” the big deal? Int J Sports Physiol Perform 15: 541–547, 2020. [DOI] [PubMed] [Google Scholar]
  • 16.Jeffries O, Simmons R, Patterson SD, Waldron M. Functional threshold power is not equivalent to lactate parameters in trained cyclists. J Strength Cond Res 35: 2790–2794, 2021. [DOI] [PubMed] [Google Scholar]
  • 17.Karsten B, Petrigna L, Klose A, et al. Relationship between the critical power test and a 20-min functional threshold power test in cycling. Front Physiol 11: 613151, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Leo P, Spragg J, Podlogar T, Lawley JS, Mujika I. Power profiling and the power-duration relationship in cycling: A narrative review. Eur J Appl Physiol 122: 301–316, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Lillo-Beviá JR, Courel-Ibáñez J, Cerezuela-Espejo V, et al. Is the functional threshold power a valid metric to estimate the maximal lactate steady state in cyclists? J Strength Cond Res 36: 167–173, 2022. [DOI] [PubMed] [Google Scholar]
  • 20.MacInnis MJ, Thomas ACQ, Phillips SM. The reliability of 4-minute and 20-minute time trials and their relationships to functional threshold power in trained cyclists. Int J Sports Physiol Perform 14: 38–45, 2019. [DOI] [PubMed] [Google Scholar]
  • 21.Mackey J, Horner K. What is known about the FTP20 test related to cycling? A scoping review. J Sports Sci 39: 2735–2745, 2021. [DOI] [PubMed] [Google Scholar]
  • 22.Mattioni Maturana F, Fontana FY, Pogliaghi S, Passfield L, Murias JM. Critical power: How different protocols and models affect its determination. J Sci Med Sport 21: 742–747, 2018. [DOI] [PubMed] [Google Scholar]
  • 23.McGrath E, Mahony N, Fleming N, Donne B. Is the FTP test a reliable, reproducible and functional assessment tool in highly-trained athletes? Int J Exerc Sci 12: 1334–1345, 2019. [PMC free article] [PubMed] [Google Scholar]
  • 24.McGrath E, Mahony N, Fleming N, Raleigh C, Donne B. Do critical and functional threshold powers equate in highly-trained athletes? Int J Exerc Sci 14: 45–59, 2021. [PMC free article] [PubMed] [Google Scholar]
  • 25.Mieras ME, Heesch MWS, Slivka DR. Physiological and psychological responses to outdoor vs. laboratory cycling. J Strength Cond Res 28: 2324–2329, 2014. [DOI] [PubMed] [Google Scholar]
  • 26.Millet GP, Tronche C, Fuster N, Candau R. Level ground and uphill cycling efficiency in seated and standing positions. Med Sci Sports Exerc 34: 1645–1652, 2002. [DOI] [PubMed] [Google Scholar]
  • 27.Morgan PT, Black MI, Bailey SJ, Jones AM, Vanhatalo A. Road cycle TT performance: Relationship to the power-duration model and association with FTP. J Sports Sci 37: 902–910, 2019. [DOI] [PubMed] [Google Scholar]
  • 28.Morton RH, Hodgson DJ. The relationship between power output and endurance: A brief review. Eur J Appl Physiol Occup Physiol 73: 491–502, 1996. [DOI] [PubMed] [Google Scholar]
  • 29.Nimmerichter A, Eston R, Bachl N, Williams C. Effects of low and high cadence interval training on power output in flat and uphill cycling time-trials. Eur J Appl Physiol 112: 69–78, 2012. [DOI] [PubMed] [Google Scholar]
  • 30.Paton CD, Hopkins WG. Tests of cycling performance. Sports Med 31: 489–496, 2001. [DOI] [PubMed] [Google Scholar]
  • 31.Sanders D, Taylor RJ, Myers T, Akubat I. A field-based cycling test to assess predictors of endurance performance and establishing training zones. J Strength Cond Res 34: 3482–3488, 2020. [DOI] [PubMed] [Google Scholar]
  • 32.Sitko S, Cirer-Sastre R, Corbi F, López-Laval I. Functional threshold power as an alternative to lactate thresholds in road cycling. J Strength Cond Res 36: 3179–3183, 2022. [DOI] [PubMed] [Google Scholar]
  • 33.Sitko S, Cirer-Sastre R, Corbi F, LÓpez-Laval I. Relationship between functional threshold power, ventilatory threshold and respiratory compensation point in road cycling. J Sports Med Phys Fitness 62: 626–632, 2022. [DOI] [PubMed] [Google Scholar]
  • 34.Valenzuela PL, Mateo-March M, Muriel X, et al. Road gradient and cycling power: An observational study in male professional cyclists. J Sci Med Sport 25: 1017–1022, 2022. [DOI] [PubMed] [Google Scholar]
  • 35.Valenzuela PL, Morales JS, Foster C, Lucia A, de la Villa P. Is the functional threshold power a valid surrogate of the lactate threshold? Int J Sports Physiol Perform 13: 1293–1298, 2018. [DOI] [PubMed] [Google Scholar]
  • 36.Vinetti G, Fagoni N, Taboni A, et al. Effects of recovery interval duration on the parameters of the critical power model for incremental exercise. Eur J Appl Physiol 117: 1859–1867, 2017. [DOI] [PubMed] [Google Scholar]
  • 37.Vinetti G, Pollastri L, Lanfranconi F, et al. Modeling the power-duration relationship in professional cyclists during the giro d'Italia. J Strength Cond Res 37: 866–871, 2023. [DOI] [PubMed] [Google Scholar]
  • 38.Vinetti G, Taboni A, Bruseghini P, et al. Experimental validation of the 3-parameter critical power model in cycling. Eur J Appl Physiol 119: 941–949, 2019. [DOI] [PubMed] [Google Scholar]
  • 39.Vinetti G, Taboni A, Ferretti G. A regression method for the power–duration relationship when both variables are subject to error. Eur J Appl Physiol 120: 765–770, 2020. [DOI] [PubMed] [Google Scholar]
  • 40.Wingo JE, Cureton KJ. Body cooling attenuates the decrease in maximal oxygen uptake associated with cardiovascular drift during heat stress. Eur J Appl Physiol 98: 97–104, 2006. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Strength and Conditioning Research are provided here courtesy of Wolters Kluwer Health

RESOURCES