Skip to main content
Download PDF
Download ePub

Reliability and day-to-day variability of peak fat oxidation during treadmill ergometry

Journal of the International Society of Sports Nutrition volume 13, Article number: 4 (2016) Cite this article

Abstract

Background

Exercising at intensities where fat oxidation rates are high has been shown to induce metabolic benefits in recreational and health-oriented sportsmen. The exercise intensity (Fatpeak) eliciting peak fat oxidation rates is therefore of particular interest when aiming to prescribe exercise for the purpose of fat oxidation and related metabolic effects. Although running and walking are feasible and popular among the target population, no reliable protocols are available to assess Fatpeak as well as its actual velocity (VPFO) during treadmill ergometry. Our purpose was therefore, to assess the reliability and day-to-day variability of VPFO and Fatpeak during treadmill ergometry running.

Methods

Sixteen recreational athletes (f = 7, m = 9; 25 ± 3 y; 1.76 ± 0.09 m; 68.3 ± 13.7 kg; 23.1 ± 2.9 kg/m2) performed 2 different running protocols on 3 different days with standardized nutrition the day before testing. At day 1, peak oxygen uptake (VO2peak) and the velocities at the aerobic threshold (VLT) and respiratory exchange ratio (RER) of 1.00 (VRER) were assessed. At days 2 and 3, subjects ran an identical submaximal incremental test (Fat-peak test) composed of a 10 min warm-up (70 % VLT) followed by 5 stages of 6 min with equal increments (stage 1 = VLT, stage 5 = VRER). Breath-by-breath gas exchange data was measured continuously and used to determine fat oxidation rates. A third order polynomial function was used to identify VPFO and subsequently Fatpeak. The reproducibility and variability of variables was verified with an intraclass correlation coefficient (ICC), Pearson’s correlation coefficient, coefficient of variation (CV) and the mean differences (bias) ± 95 % limits of agreement (LoA).

Results

ICC, Pearson’s correlation and CV for VPFO and Fatpeak were 0.98, 0.97, 5.0 %; and 0.90, 0.81, 7.0 %, respectively. Bias ± 95 % LoA was −0.3 ± 0.9 km/h for VPFO and −2 ± 8 % of VO2peak for Fatpeak.

Conclusion

In summary, relative and absolute reliability indicators for VPFO and Fatpeak were found to be excellent. The observed LoA may now serve as a basis for future training prescriptions, although fat oxidation rates at prolonged exercise bouts at this intensity still need to be investigated.

Background

Fat is next to carbohydrate the main substrate to fuel prolonged endurance exercise over a wide range of intensities. Exercising at intensities where fat oxidation rates are high has been advocated to induce metabolic changes that benefit both professional and recreational endurance athletes, as well as health-oriented exercisers [1]. The oxidative regulation of fat metabolism is intricate and may be influenced by the intensity, duration and type of the activity, as well as dietary intake pattern, muscle glycogen concentrations, gender and training status [2–6]. When described as a sole function of exercise intensity, fat oxidation will augment as intensity increases from low to moderate levels, achieving peak oxidation rates between 45 and 65 % of peak oxygen uptake (VO2peak), then to become minimal at intensities above 85 % of VO2peak [1, 7–9].

In recent years, there has been an emerging interest involving the maximization of fat metabolism during exercise (e.g. with the aim of improving athletic training, generally related to performance enhancement aspects in athletes or linked to therapeutic effects in patients) [10, 11]. Consequently, reliably identifying the intensity at which fat metabolism reaches peak oxidation levels is crucial when prescribing exercise for the purpose of fat oxidation and related metabolic effects [12]. The reproducibility of the intensity eliciting peak fat oxidation (PFO) rates (i.e. Fatpeak, but also referred to as Fatmax or LIPOXmax) has been reported for a variety of submaximal incremental protocols [6, 7, 13–16]. However, all reliability studies to date have used cycle ergometry as the exercising method of choice, which in turn may limit a valid transferability from any of the previously tested protocols and their respective reproducibility indicators into other types of exercise. Yet, despite running and walking being feasible and popular modalities among different target populations [17], there are to date no reliability data on the estimations of Fatpeak during treadmill ergometry. Additionally, only a few studies have performed comprehensive statistical assessments as recommended by the guidelines for reliability assessment in sports medicine [18]. These would include for instance, the establishment of both relative and absolute reliability indicators for key variables related to Fatpeak estimations, such as the actual velocity at which PFO rates occur (i.e. VPFO), as well as the computation of its respective intrasubject (day-to-day) variability. Therefore, the aims of the current investigation were to establish the reproducibility of VPFO and Fatpeak, and therewith contribute to the improvement of training prescriptions in running to enhance fat metabolism.

Methods

Subjects

Sixteen healthy and active adults involved in the regular practice of different sports disciplines (i.e. running, cycling, rugby and weight-lifting) voluntarily took part in the present investigation. The study was conducted in accordance with the declaration of Helsinki. The ethics committee from Potsdam University approved the study and participants gave their written informed consent after receiving detailed information about the investigational protocol and aims. Inclusion criterion was ≥3 h of training per week. The participants’ anthropometric and training data are given in Table 1.

Table 1 Anthropometric and training data of subjects
Full size table

General design

All examinations were conducted at Potsdam University’s Outpatient Clinic. At day 1, a full medical check (anamnesis, anthropometrical assessment, physical examination, resting ECG) was carried out preceding the first exercise appointment as recommended by the German Federation for Cardiovascular Prevention and Rehabilitation [19]. Subsequently, participants performed a maximal baseline running test to determine the exercise stages for the Fat-peak tests. On days 2 and 3, an identical submaximal incremental running test (Fat-peak test 1 and 2) was carried out on the same treadmill ergometer (0.4 % inclination) (H/P/ Cosmos Pulsar Graphics. 2005®, Germany). A breath-by-breath Metamax 3B system (Cortex Biophysik GmbH. Leipzig, Germany) was used to monitor respiratory data and to determine lipid oxidation rates via indirect calorimetry. Diet was controlled on the day prior to each of the submaximal tests. Participants performed all tests in a fasted state and were additionally advised to refrain from training during the 24 h before each bout. Female’s menstrual cycle was uncontrolled.

Baseline test

The baseline test consisted of a stepwise incremental running bout until volitional exhaustion. The initial stage of 6 km/h, stage increments of 2 km/h and stage duration of 3 min were defined to exhaust subjects in not less than 4 stages [15]. Lactate concentrations were measured in between stages from capillary blood samples taken from the hyperemized earlobe (Biosen S line, EKF diagnostic GmbH. Magdeburg, Germany). Subsequently, the following parameters were determined: The velocities at the aerobic threshold (VLT) [20] and respiratory exchange ratio (RER) of 1.00 (VRER), as well as VO2peak and peak running velocity (Vpeak).

Fat-peak tests

Forty-eight hours after baseline, subjects performed the first submaximal incremental run. The bout lasted 30 min, i.e. 5 stages of 6 min, and was designed on an individualized basis, based on the recorded gas-exchange and blood lactate variables from each participant [15]. The starting velocity was set at VLT while the end velocity was VRER. Hence, to obtain five stages of equal increment, the difference between end- and start-velocity needs to be divided by four (i.e. [(VRER - VLT) ÷ 4 = increment]). Before officially commencing the test, a 10 min warm up phase at 70 % VLT was implemented to stabilize cardiopulmonary parameters and reduce possible breathing artifacts that may arise at the beginning of exercise calorimetry [21]. The second (identical) submaximal bout was then carried out 48 to 72 h later at the same time for each participant (07:00, 8:00 or 9:00 am). Subsequently, the following parameters were determined: fat oxidation rates, PFO, VPFO, oxygen uptake (VO2) at VPFO and heart rate (HR) at VPFO.

Dietary control

For compliance control, food intake was documented in a standardized diet record form [22] during the day before each submaximal run and analyzed later on. Participants were not given any specific dietary recommendations, but simply told to identically repeat their conventional nutritional plan at both days. A 12-h overnight fast was also enforced before every running bout. Nutrient and energetic values, including possible deviations within diet record forms were computed based on the German Nutrition database (PRODI 5.7, Nutri-Science GmbH. Hausach, Germany).

Gas exchange data analysis

Gas exchange data were checked for plausibility and analyzed using the software Metasoft 3, version 3.9. VO2peak was defined as the highest 30 s average value during the baseline test. For the Fat-peak tests, fat oxidation rates were calculated from VO2 and the non-protein RER according to Péronnet [23]. Gas exchange data (viewed with time interval of 10 s) were averaged over the last 30 s of each stage. By applying a third polynomial (P3) function (Prism 6, GraphPad Software Inc.), a graphic depiction of fat oxidation rates as a function of exercise intensity was created for each individual and used to determine PFO, VPFO, Fatpeak [16, 24] and subsequently VO2 and HR at VPFO.

Statistics

All of the analyzed parameters are descriptively reported as mean ± standard deviation (SD). Statistical analysis was performed using SPSS, version 20, IBM, USA & Microsoft Excel 2011. Samples were checked for normality using the Shapiro-Wilk test. Gender differences in anthropometry, training and baseline performance data were tested with an un-paired t-test. During the Fat-peak tests, differences in VO2, RER, fat oxidation rates and HR were assessed with a two-way ANOVA for repeated measures (test X stage). A paired t-test assessed the in between test differences for VPFO, PFO, Fatpeak, VO2 at VPFO, HR at VPFO, as well as the differences in the dietary data. Relative and absolute reliability of VPFO and Fatpeak were verified with an intraclass correlation coefficient (ICC), the coefficient of variation (CV) and the Pearson’s correlation coefficient. The day-to-day variability of VPFO and Fatpeak was assessed with a Bland-Altman analysis by establishing the mean differences (bias) ± 95 % limits of agreement (LoA). Significance was set at a α-level of 0.05.

Results

Baseline characteristics

Baseline performance data are presented in Table 2.

Table 2 Baseline performance data
Full size table

Dietary intake

There were no significant differences (overall and individually) for any of the calculated variables in the reported dietary intake during the 24 h preceding the Fat-peak tests (P > 0.05). Mean values for energy, carbohydrate, fat and protein intake were 2507 ± 561 kcal, 345 ± 118 g, 73 ± 34 g and 106 ± 28 g, respectively.

Fat-peak tests

Individual values for start and end velocities ranged from 6.5 to 10.4 km/h and from 10.9 to 15.6 km/h, respectively. Likewise, stage increments ranged between 0.7 and 1.7 km/h. As shown in Fig. 1 (a-d), there we no significant differences recorded for VO2 (P = 0.20), RER (P = 0.58), fat oxidation rates (P = 0.79) and HR (P = 0.13) during the two Fat-peak tests. Also with no significant systematic differences between bouts, mean VPFO was 8.2 ± 1.9 and 7.9 ± 1.8 km/h (P = 0.69). The range in which individual means of VPFO were detected varied from 5.7 ± 0.2 to 12.5 ± 0.3 km/h, with 11 subjects achieving VPFO (in both tests) during the warm up phase (i.e. below VLT). Accordingly, mean PFO was 0.58 ± 0.22 and 0.60 ± 0.22 g/min (P = 0.85). The respective range of individual means for PFO went from 0.30 ± 0.08 to 1.03 ± 0.08 g/min. Fatpeak averaged at 64 ± 7 and 62 ± 6 % of VO2peak (P = 0.35), with individual means ranging from 50 ± 3 to 74 ± 2 % of VO2peak. Mean VO2 at VPFO was 30 ± 6 and 29 ± 6 ml/min/kg during each of the Fat-peak tests respectively (P = 0.61). The corresponding individual means for VO2 at VPFO ranged between 21 ± 2 and 40 ± 2 ml/min/kg. Likewise, mean HR at VPFO was 143 ± 11 and 140 ± 13 beats/min (P = 0.46), with range of individual means varying between 116 ± 1 and 162 ± 6 beats/min.

Fig. 1
figure 1

Overview of cardiorespiratory parameters and fat oxidation rates during Fat-peak tests. a Average VO2 during Fat-peak tests; b Average RER during Fat-peak tests; c Average fat oxidation rates during Fat-peak tests (P3 interpolated); d Average HR during Fat-peak tests. All values are mean ± SD

Full size image

Reliability and day-to-day variability assessment of VPFO and Fatpeak

ICC, Pearson’s coefficient and the CV scored 0.98, 0.97 and 5.0 % for VPFO, and 0.90, 0.81 and 7.0 % for Fatpeak respectively. As shown in Fig. 2, the bias ± 95 % limits of agreement for VPFO were −0.3 ± 0.9 km/h (−2 ± 8 % of VO2peak). Thus, indicating that 95 % of the intra-individual differences should be expected between −1.2 and +0.6 km/h (−10 and +6 % of VO2peak).

Fig. 2
figure 2

Bland-Altman plot for VPFO during Fat-peak tests

Full size image

Discussion

The aim of the current study was to establish the reproducibility of key parameters that correspond to PFO rates (i.e. VPFO and Fatpeak) during treadmill ergometry. The main results of this investigation were the high ICC and Pearson’s correlation coefficient computed for VPFO and Fatpeak, in addition to the correspondingly low CV (i.e. 0.98, 0.97, 5.0 %; and 0.90, 0.81, 7.0 % respectively). Moreover, the performed Bland-Altman analysis has revealed a small bias of −0.3 km/h between Fat-peak tests, with 95 % LoA for the reproducibility of VPFO of 0.9 km/h (i.e. -2 ± 8 % of VO2peak).

To our knowledge, the present investigation is the first to report on the reproducibility and day-to-day variability of both VPFO and Fatpeak during treadmill ergometry running. Hence, the current results reveal excellent values for the particular relative and absolute reliability indicators. The study group of Gmada [6] seems to be the first to have taken a more comprehensive statistical approach to assess the repeatability of Fatpeak. In their study, 12 sedentary, but otherwise healthy males performed a graded exercise test (5 stages of 6 min at 20, 30, 40, 50 and 60 % of the maximal aerobic power (MAP)) after a 12-h overnight fast. ICC and CV values for Fatpeak across test re-test trials separated by a time interval of 4 days were 0.97 and 5.0 %, respectively. The mean differences ± 95 % LoA for Fatpeak was 0.6 ± 7.2 W, indicating that 95 % of the intra-individual differences should be contained between −6.6 and +7.7 W. Based on these values, relative and absolute reliability of Fatpeak were deemed as highly reliable by the authors. Unfortunately, no further appraisal has been made to address the physiological plausibility or applicability of the given LoA. Three other investigations have employed similar submaximal graded protocols (i.e. similar stage increment and duration, plus the 12-h overnight food restriction prior to each bout), which were based either on the measured or on the theoretical MAP to establish the reproducibility of Fatpeak. Yet, conflicting findings have been reported. Pérez-Martin [13] reports a CV of 11.4 % for Fatpeak, and considered it satisfactory after assessing 10 overweight, but otherwise healthy male participants (no LoA analysis carried out). Similarly, Michallet [14] reports on CV values between 7 and 12 %. Here, the reproducibility of Fatpeak was assessed via two different gas exchange techniques in a group of 14 healthy and moderately trained participants (9 males, 5 females). More recently, Croci [16] assessed 15 healthy and moderately trained males, and computed CV values between 16 and 20 % for Fatpeak while implementing three different data analysis procedures. The authors additionally report a high intra-individual variability with mean differences ± 95 % LoA for Fatpeak (calculated with a P3 function) of −4 ± 32 % of VO2peak, indicating that 95 % of the intra-individual differences should be expected between −37 and +28 % of VO2peak. Two other investigations using different methodological approaches have addressed the reliability and/or variability of Fatpeak estimations. Achten [7] has advocated good reliability after assessing 10 healthy and moderately trained males as they performed an incremental test to exhaustion (test start: 95 W; stage increment and duration: 35 W every 3 min) on three different occasions and after a 12-h overnight fast. The CV for Fatpeak (% of VO2peak) was 9.6 %. The authors additionally report a root mean square error (typical error) and 95 % confidence interval for Fatpeak of 0.23 l/min (0.17 -0.34 l/min). Meyer [15] on the other hand, shows a large intra-individual variability for Fatpeak after assessing 21 healthy participants (10 males, 11 females) of varying endurance capacities. Nutrition was moderately controlled, but with no fasting required prior to the exercise bouts. The implemented incremental exercise protocol was nearly identical to the one currently used in our study (further appraisal on the protocol is given below). The mean differences ± 95 % LoA for Fatpeak was −13 ± 0.91 l/min (−3.9 ± 28 % of VO2peak). Hence, 95 % of intra-individual differences were to be expected between −1.04 and +0.78 l/min (−32 and +23 % of VO2peak). In this case, the large variability can be mostly attributed to the fact that only the end of each exercise stage was evaluated and not a continuous curve (i.e. whenever PFO switches from stage 2 to 3, for instance due to a small difference in the recorded rates, it will then result in a large difference in the equivalent % of VO2peak).

In the current study, the computed scores agree closely with those reported by Gmada [6], especially the CV, which has come noticeably lower then all of the other values reported in preceding analyses. As to the intra-individual (day-to-day) variability of Fatpeak, when expressed as % of VO2peak, our LoA values have been distinctly lower then those observed by Meyer [15] and Croci [16]. However, whilst these results enable closer comparisons to some of those from other investigations, making reasonable inferences as to the physiological plausibility and practical applicability of these LoA has shown to be a challenging task. As implied by Croci [16], previous studies have deemed an intra-individual variability of ± 10 beats/min for HR at VPFO as acceptable, since this reflects a realistic margin in individuals who use HR for the monitoring of training intensity [7, 15]. Accordingly, in the present investigation this threshold has been sustained in most participants, with only three of them eventually exceeding the given cutoff (though by no more than 3 beats/min). Therefore, based on the strong aggregate of reliability indices and the generally lower intra-individual variability observed for the aforementioned physiological aspects (i.e. Fatpeak as % of VO2peak and HR at VPFO), we consider the present Fatpeak estimations as the most reliable and coherent to date. Furthermore, the employed treadmill running protocol may be used as a reliable tool to identify Fatpeak in moderately trained individuals, and according to the reported intra-individual variability values, serve as the basis for future investigational research.

In spite of that, its applicability for athletic training is still questionable. For instance, the high day-to-day variability for PFO (g/min) remains largely unexplained. In the current study, PFO recordings between Fat-peak tests differed by a minimum of 0.01 g/min (1 %) and a maximum of 0.28 g/min (45 %) among the participants, which is consistent with inter- and intra-individual patterns described in previous investigations [1, 15, 16]. On the grounds of this known variability for PFO, recent studies [25, 26] have questioned the practical applicability of prescribing exercise training based on Fatpeak, since it remains debatable whether prolonged exercise at Fatpeak can indeed be maintained with PFO rates. Therefore, it may be ultimately necessary for prospective studies (e.g. those looking at the sustainability of PFO during prolonged exercise bouts at Fatpeak) to consider the LoA (or simply the individual test re-test difference) for Fatpeak, VPFO and PFO. Then, based on that, delineate the ± intensities in which exercise bouts should be performed and eventually evaluate how this impacts the sustainability of PFO (i.e. also in accordance to the identified intra-individual variability of each person). Other questions in need of further research include: 1) What are the physiological determinants and additional intrinsic/extrinsic factors influencing the variability of fat oxidation rates during running, as well as in other types exercise? 2) How applicable, versatile and reliable is the current protocol across different cohorts of people (e.g. patients, untrained persons or professional athletes)?

To date, there have been a few investigations assessing the reproducibility of Fatpeak [6, 7, 13–16]. Though the majority of those have failed to make thorough statistical analyses by not providing indicators of both relative and absolute reliability for Fatpeak estimations (i.e. the degree to which individuals/variables maintain their position in a sample with repeated measurements; or the degree to which repeated measurements vary for individuals/variables), in addition to practical information on the respective intra-individual (day-to-day) variability by establishing the LoA (i.e. the individual subject differences in a test re-test plotted against the respective individual means) [18, 27–29]. Hereto, previous studies suggest that an ICC greater than 0.90 is reflective of high relative reliability, while values between 0.80 and 0.90 should be rated as moderate, with figures under 0.80 being graded as not sufficient for physiological testing [6, 30]. Additionally, a Pearson’s coefficient greater than 0.80 is advocated as high [18], whereas a CV under 10 % can be considered as an indicator for a reliable test, being a commonly used and accepted threshold for biological variables [6, 31, 32].

In the current study we have implemented rigid pre-testing conditions with standardized nutrition and exercise restraint for the 24 h prior to each submaximal bout. Yet, other methodological factors such as the elected exercise protocol, data analysis approach as well as the embedded equipment error may affect the determination of fat oxidation rates and subsequently VPFO [16]. The currently employed exercise protocol intends to cover the realistic range for VPFO determination and takes into account important physiological aspects in its design to ensure gas exchange maintains steady state for as long as possible [15]. The start velocity (VLT) corresponds to the first increase in blood lactate and can be considered as the upper border for the conduction of regenerative training. The end velocity (VRER) represents a metabolic state where energy supply is expected to yield solely from carbohydrate metabolism. Ultimately, three stages in between these metabolic markers should account for an accurate determination of VPFO [15, 21, 33, 34]. Additionally, we have chosen to create P3 curves, as it is a valid and widely used method that models the overall kinetics of fat oxidation for a more coherent representation of VPFO and PFO [12].

Here we would like to comment on the 11 participants that had their VPFO and Fatpeak computed during the warm up phase. One reason for this could of course be the rather moderate aerobic endurance capacity of participants, since in less trained individuals Fatpeak occurs at lower exercise intensities than in trained individuals [34]. However, when looking at the individual raw fat oxidation rates, only 5 subjects have had indeed higher fat oxidation values during the warm up phase. The remaining 6, had their highest raw values recorded at the end of the first stage and were somewhat “drifted backwards” due to the applied P3 interpolation and how the curve-fit reacted upon the variables. Such a drift can also occur in the opposite way as depicted in Fig. 1c, which in this case, was caused when curve-fitting the overall means for fat oxidation rates instead of individual values. This prompted the curve into a small elongation (likely driven by the subjects that had PFO rates at the latter stages of the tests). Hence, the depiction of PFO rates that are slightly lower than the mean of individually interpolated values, and which also occur during the test phase and not the warm up. Still, the use of a mathematical model such as the P3, is a more consistent approach than just accounting for the raw measured values when analyzing data that does not align in a perfect curve [12]. However, alternative ways of curve-fitting might be evaluated in the future.

At last, it must be noted that the total variation observed in our test re-test is a sum of both biological and equipment variation (error) [15, 16]. Though analyzing the relative contribution of each of these parameters was beyond the scope of this study, the used gas exchange analyzer has been considered reliable [35]. Ideal ICC values (1.00) were computed for ventilation (VE) VO2 and VCO2. Respectively, the average intra-device technical error of measurement (%TEM) was 0.2, 1.4 and 1.1 %.

Conclusion

The present study for the first time aimed at investigating the reliability and day-to-day variability of peak fat oxidation in treadmill running in moderately trained male and female recreational athletes, using appropriate statistical methods. In summary, the reproducibility of VPFO and Fatpeak during treadmill ergometry was found to be excellent with ICC, Pearson’s correlation coefficient and CV scoring at 0.98, 0.97, 5.0 %; and 0.90, 0.81, 7.0 % respectively. Fatpeak determined in a treadmill test might therefore serve as training prescription, although fat oxidation rates at prolonged exercise bouts at this intensity still need to be investigated.

Abbreviations

VO2peak :

Peak oxygen uptake

PFO:

Peak fat oxidation

Fatpeak :

Intensity eliciting peak fat oxidation rates

VPFO :

Velocity at which peak fat oxidation occurs

BMI:

Body mass index

%BF:

Percentage body fat

VLT :

Velocity at aerobic threshold

RER:

Respiratory exchange ratio

VRER :

Velocity at respiratory exchange ratio of 1.00

Vpeak :

Peak running velocity

VO2 :

Oxygen uptake

HR:

Heart rate

P3:

Third polynomial

ICC:

Intraclass correlation coefficient

CV:

Coefficient of variation

Bias:

Mean differences

LoA:

Limits of agreement

MAP:

Maximal aerobic power

%TEM:

Technical error of measurement

References

  1. Gonzalez JT, Stevenson EJ. New perspectives on nutritional interventions to augment lipid utilization during exercise. Brit J Nutr. 2012;107:339–49.

    Article  CAS  PubMed  Google Scholar 

  2. Brooks GA, Mercier J. Balance of carbohydrate and lipid utilization during exercise: the “crossover” concept. J Appl Physiol. 1994;76:2253–61.

    CAS  PubMed  Google Scholar 

  3. Weltan SM, Bosch AN, Dennis SC, Noakes TD. Influence of muscle glycogen content on metabolic regulation. Am J Physiol. 1998;274:E72–82.

    CAS  PubMed  Google Scholar 

  4. Achten J, Venables MC, Jeukendrup AE. Fat Oxidation Rates Are Higher During Running Compared With Cycling Over a Wide Range of Intensities. Metabolism. 2003;52:747–52.

    Article  CAS  PubMed  Google Scholar 

  5. Pendergast DR, Meksawan K, Limprasertkul A, Fisher NM. Influence of exercise on nutritional requirements. Eur J Appl Physiol. 2011;111:379–90.

    Article  CAS  PubMed  Google Scholar 

  6. Gmada N, Marzouki H, Haj Sassi R, Tabka Z, Shephard R, Brun JF, et al. Relative and absolute reliability of the crossover and maximum fat oxidation points and their relationship to ventilatory threshold. Sci Sports. 2012;28:e99–e105.

    Article  Google Scholar 

  7. Achten J, Jeukendrup AE. Maximal Fat Oxidation During Exercise in Trained Men. Int J Sports Med. 2003;24:603–8.

    Article  CAS  PubMed  Google Scholar 

  8. Zehnder MM, Ith R, Kreis W, Saris W, Boutellier U, Boesche C. Gender-Specific Usage of Intramyocellular Lipids and Glycogen during Exercise. Med Sci Sport Exer. 2005;37:1517–24.

    Article  CAS  Google Scholar 

  9. Brun JF, Jean F, Ghanassia E, Flavier S, Mercier J. Metabolic training: new paradigms of exercise training for metabolic diseases with exercise calorimetry targeting individuals. Ann Readapt Med Phys. 2007;50:528–34.

    Article  PubMed  Google Scholar 

  10. Tolfrey K, Jeukendrup AE, Batterham AM. Group- and individual-level coincidence of the Fatmax and lactate accumulation in adolescents. Eur J Appl Physiol. 2010;109:1145–53.

    Article  CAS  PubMed  Google Scholar 

  11. Romain AJ, Carayol M, Desplan M, Fedou C, Ninot G, Mercier J, et al. Physical Activity Targeted at Maximal Lipid Oxidation: A Meta-Analysis. J Nutr Metab. 2012;2012:1–11.

    Article  Google Scholar 

  12. Cheneviere X, Malatesta D, Peters EM, Borrani F. A mathematical model to describe fat oxidation kinetics during graded exercise. Med Sci Sports Exerc. 2009;41:1615–25.

    Article  CAS  PubMed  Google Scholar 

  13. Pérez-Martin A, Dumortier M, Raynaud E, Brun JF, Fédou C, Bringer J, et al. Balance of substrate oxidation during sub- maximal exercise in lean and obese people. Diabetes Metab. 2001;27:466–74.

    PubMed  Google Scholar 

  14. Michallet AS, Tonini J, Regnier J, Guinot M, Favre-Juvin A, Bricout V, et al. Methodological aspects of crossover and maximum fat-oxidation rate point determination. Diabetes Metab. 2008;34:514–23.

    Article  PubMed  Google Scholar 

  15. Meyer T, Folz C, Rosenberger F, Kindermann W. The Reliability of Fatmax. Scand J Med Sci Sports. 2009;19:213–21.

    Article  CAS  PubMed  Google Scholar 

  16. Croci I, Borrani F, Byrne NM, Wood RE, Hickman IJ, Cheneviere X, et al. Reproducibility of Fatmax and fat oxidation rates during exercise in recreationally trained males. PLoS One. 2014;9:1–10.

    Google Scholar 

  17. Mendelson M, Jinwala K, Wuyam B, Levy P, Flore P. Can crossover and maximal fat oxidation rate points be used equally for ergocycling and walking/running on a track? Diabetes Metab. 2012;38:264–70.

    Article  CAS  PubMed  Google Scholar 

  18. Atkinson G, Nevill AM. A review of the statistical methods employed to assess measurement error (reliability) in variables relevant in sports medicine. Sports Med. 1998;26:217–38.

    Article  CAS  PubMed  Google Scholar 

  19. Bjarnason-Wehrens B, Mayer-Berger W, Meister ER, Baum K, Hambrecht R, Gielen S. Einsatz von Kraftausdauertraining und Muskelaufbautraining in der kardiologischen Rehabilitation. Empfehlungen der Deutschen Gesellschaft für Prävention und Rehabilitation von Herz-Kreislauferkrankungen e.V. Z Kardiol. 2004;93:357–70.

    Article  CAS  PubMed  Google Scholar 

  20. Dickhuth HH, Yin L, Niess A, Röcker K, Mayer F, Heitkamp HC, et al. Ventilatory, lactate-derived and catecholamine thresholds during incremental treadmill running: relationship and reproducibility. Int J Sports Med. 1999;20:122–7.

    CAS  PubMed  Google Scholar 

  21. Xu F, Rhodes EC. Oxygen Uptake Kinetics During Exercise. Sports Med. 1999;27:313–27.

    Article  CAS  PubMed  Google Scholar 

  22. Carlsohn A, Scharhag-Rosenberger F, Schapp L, Fusch G, Mayer F. Validität der Energiezufuhrbestimmung mittels Ernährungsprotokoll bei Normal- gewichtigen in Abhängigkeit von der Höhe der Energiezufuhr. Ern Um. 2012;59:572–77.

  23. Péronnet F, Massicotte D. Table of Nonprotein Respiratory Quotient: An Update. Can J Spt Sci. 1991;16:23–9.

    Google Scholar 

  24. Stisen AB, Stougaard O, Langfort J, Helge JW, Sahlin K, Madsen K. Maximal fat oxidation rates in endurance trained and untrained women. Eur J Appl Physiol. 2006;98:497–506.

    Article  CAS  PubMed  Google Scholar 

  25. Schwindling S, Scharhag-Rosenberger F, Kindermann W, Meyer T. Limited Benefit of Fatmax-Test to Derive Training Prescriptions. Int J Sports Med. 2014;35:280–5.

    CAS  PubMed  Google Scholar 

  26. Takagi S, Sakamoto S, Midorikawa T, Konishi M, Katsumura T. Determination of the exercise intensity that elicits maximal fat oxidation in short-time testing. J Sports Sci. 2014;32:175–82.

    Article  PubMed  Google Scholar 

  27. Altman DG, Bland JM. Measurement in medicine: the analysis of method comparison studies. Statistician. 1983;32:307–17.

    Article  Google Scholar 

  28. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307–10.

    Article  CAS  PubMed  Google Scholar 

  29. Baumgarter TA. Norm-referenced measurement: Reliability. In: Safrit MJ, Wood TM, editors. Measurement concepts in physical education and exercise science. Champaign, IL: Human Kinetics; 1989. p. 45–72.

    Google Scholar 

  30. Vincent WJ. Statistics in kinesiology. Champaign, IL: Human Kinetics; 1995.

    Google Scholar 

  31. Vassault A, Grafmeyer D, Naudin C, Dumont G, Bally M, Henny J. Protocoles de validation de techniques. Ann Biol Clin. 1986;44:686–45.

    Google Scholar 

  32. Atkinson G, Nevill AM, Edwards B. What is an acceptable amount of measurement error? The application of meaningful “analytical goals” to the reliability analysis of sports science measurements on a ratio scale. J Sports Sci. 1999;17:18.

    Google Scholar 

  33. Meyer T, Lucıa A, Earnest CP, Kindermann W. A conceptual framework for performance diagnosis and training prescription from submaximal parameters – theory and application. Int J Sports Med. 2005;26:38–48.

    Article  Google Scholar 

  34. Jeukendrup AE, Wallis GA. Measurement of substrate oxidation during exercise by means of gas exchange measurements. Int J Sports Med. 2005;26:28–37.

    Article  Google Scholar 

  35. Macfarlane DJ, Wong P. Validity, reliability and stability of the portable Cortex Metamax 3B gas analysis system. Eur J Appl Physiol. 2012;112:2539–47.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University Outpatient Clinic, Center of Sports Medicine, Potsdam University, Potsdam, Germany

    Raul De Souza Silveira, Anja Carlsohn, Georg Langen, Frank Mayer & Friederike Scharhag-Rosenberger

  2. Swiss Federal Institute of Sport Magglingen, Magglingen, Switzerland

    Raul De Souza Silveira

  3. Department of Health Sciences, University of Education Schwaebisch Gmuend, Schwaebisch Gmuend, Germany

    Anja Carlsohn

  4. Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany

    Friederike Scharhag-Rosenberger

Authors
  1. Raul De Souza Silveira
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anja Carlsohn
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Georg Langen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Frank Mayer
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Friederike Scharhag-Rosenberger
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Raul De Souza Silveira.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

RDSS participated in the study design, conduction of all experiments, data analysis and drafted the manuscript. AC participated in the study design and conduction of experiments. GL participated in the conduction of experiments and data analysis. FM participated in the study design and in the drafting of the manuscript. FS participated in the study design and in the drafting of the manuscript. All authors read and approved the final manuscript.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

De Souza Silveira, R., Carlsohn, A., Langen, G. et al. Reliability and day-to-day variability of peak fat oxidation during treadmill ergometry. J Int Soc Sports Nutr 13, 4 (2016). https://doi.org/10.1186/s12970-016-0115-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12970-016-0115-1

Keywords

  • Peak fat oxidation
  • Reliability
  • Variability
  • Running
  • Treadmill ergometry

Journal of the International Society of Sports Nutrition

ISSN: 1550-2783

Contact us