The Aerobic and Anaerobic Contribution During Repeated 30-s Sprints in Elite Cyclists

Although the ability to sprint repeatedly is all-important in road cycling races, the changes in aerobic and anaerobic office when sprinting during prolong bicycle has not been investigated in competitive elite cyclists. here, we used the gross efficiency ( GE ) -method to investigate : ( 1 ) the absolute and relative aerobic and anaerobic contributions during 3 × 30-s sprints included each hour during a 3-h low-intensity train ( LIT ) -session by 12 cyclists, and ( 2 ) how the energetic contribution during 4 × 30-s sprints is affected by a 14-d high-volume train camp with ( SPR, n = 9 ) or without ( CON, newton = 9 ) inclusion of sprints in LIT-sessions. The aerobic power was calculated based on GE determined before, after sprints, or the average of the two, while the anaerobic power was calculated by subtracting the aerobic office from the sum ability output. When repeating 30-s sprints, the mean baron output decreased with each sprint ( phosphorus < 0.001, ES:0.6–1.1 ), with the majority being attributed to a decrease in beggarly anaerobic ability ( first vs. second sprint : −36 ± 15 W, phosphorus < 0.001, ES:0.7, beginning vs. third dash : −58 ± 16 W, p < 0.001, ES:1.0 ). Aerobic power only decreased during the third base dash ( first vs. third base sprint : −17 ± 5 W, phosphorus < 0.001, ES:0.7, second vs. third dash : 16 ± 5 W, phosphorus < 0.001, ES:0.8 ). hateful power output signal was largely maintained between sets ( first set : 786 ± 30 W vs. second specify : 783 ± 30 W, p = 0.917, ES:0.1, vs. third base set : 771 ± 30 W, phosphorus = 0.070, ES:0.3 ). After a 14-d high-volume train camp, average ability output during the 4 × 30-s sprints increased on average 25 ± 14 W in SPR ( phosphorus < 0.001, ES:0.2 ), which was 29 ± 20 W more than CON ( phosphorus = 0.008, ES : 0.3 ). In SPR, mean anaerobic power and mean aerobic exponent increased by 15 ± 13 W ( phosphorus = 0.026, ES:0.2 ) and by 9 ± 6 W ( p = 0.004, ES:0.2 ), respectively, while both were unaltered in CON. In stopping point, moderate decreases in world power within sets of repeated 30-s sprints are primarily due to a decrease in anaerobic ability and to a lesser extent in aerobic ability. however, the repeated sprint-ability ( multiple sets ) and corresponding energetic contribution are maintained during prolong cycling in elite cyclists. Including a small number of sprints in LIT-sessions during a 14-d trail camp improves sprint-ability chiefly through improved anaerobic might .


Road cycle competitions consist of elongated low- to moderate-intensity cycling with inclusion body of respective high-intensity efforts in the decisive moments ( Abbiss et al., 2013 ; van Erp and Sanders, 2020 ). The ability to perform repeated short-duration ( 5–15 s ), high-intensity efforts is crucial in club to establish a break-away, close a gap or to sprint off from the group and win the rush ( Abbiss et al., 2013 ). late data from a first sprinter has given valuable insight into sprint-finishes, showing a gamey demand ( > 500 W ) over the last 90 s leading up to a dash and ~650–900 W over the concluding 30 randomness ( van Erp et al., 2021a ). accordingly, elite cyclists need to develop both a high aerobic capacity and the ability to repeatedly use anaerobic energy reserves. indeed, successful, professional cyclists seem able to maintain sprint-ability after prolong cycling, and to a greater extent than non-successful cyclists ( vanguard Erp et al., 2021b ). however, the changes in aerobic and anaerobic contributions during duplicate sprints and the evolvement hereof during drawn-out motorbike is so far to be determined in elect cyclists. such information would improve our sympathy of the energetic demands of road motorbike competitions where the ability to repeatedly sprint is required .
The aerobic energy contribution can well be determined by collecting gas-exchange data ; however, determining the anaerobic energy contribution relies on indirect methods that are difficult to validate for whole-body exercise. previously, incursive measures quantifying adenosine triphosphate ( ATP ), inosine monophosphate ( IMP ), creatine phosphate ( PCr ), intermediates of glycolysis, and lactate in muscle biopsies ( Bangsbo et al., 1990 ; Bogdanis et al., 1996 ) have been applied to determine anaerobic energy contribution in non-elite subjects. however, due to the ephemeral, changeable nature of the anaerobic metabolism and the relatively minor muscle samples, this method acting might not represent the entire active muscle batch. furthermore, the transferability of previous invasive findings to elite athletes might be questionable and, in summation, the method may be regarded airy to apply in elite athletes .
The most common indirect methods to determine the anaerobic energy contribution are the maximal accumulate oxygen deficit method acting ( Medbo et al., 1988 ), the critical exponent concept ( Monod and Scherrer, 1965 ), and the crude efficiency ( GE ) -method ( Serresse et al., 1988 ). It is well-established that GE diminishes during prolong exercise ( Hopker et al., 2017 ; Almquist et al., 2019 ) in an intensity-dependent manner ( Noordhof et al., 2015 ), affecting performance at the end of a slipstream ( Passfield and Doust, 2000 ; Noordhof et al., 2020 ). As the GE-method is the entirely method that takes the decrease in efficiency during drill into explanation, this method acting seems most relevant for determining aerobic/anaerobic contributions during repeated maximal efforts performed during elongated use.

recently, it has been shown that the repeat sprint-ability of elite cyclists can be improved by including sprints during low-intensity train ( LIT ) -sessions ( Almquist et al., 2020, 2021 ). however, whether these improvements come from increased aerobic, and/or anaerobic contributions remains elusive. consequently, the aims of the introduce discipline were to : ( 1 ) investigate the absolute and relative aerobic and anaerobic contributions of repeated 30-s sprints included during a 3-h low-intensity cycle seance using the GE-method, and ( 2 ) investigate how the energetic contribution during reprise sprints is affected by a 14-d high-volume train camp where sprints are regularly included in LIT-sessions of elect cyclists. Based on the former literature, we hypothesized that a decrease in anaerobic power would be the major contributor to the decrease in dash office when repeating sprints during low-intensity cycle. however, the decrease in dash power when repeating sets of sprints during prolong cycle was suggested to be relatively little. last, we hypothesized that the inclusion of 30-s sprints during a 14-d coach camp would chiefly improve dash might output through an addition in anaerobic power .


Participants and Experimental Design

The confront study included data from two separate studies on elite cyclists of which physiologic, operation, body constitution, hematologic, and mesomorphic measures have been presented previously ( Almquist et al., 2019, 2021 ). Before inclusion in the two separate studies, the participants were made fully mindful of the possible risks and discomforts associated with participation. All gave their written informed accept to participate before entering the studies, which were approved by the local ethics committee at Inland Norway University of Applied Sciences and were conducted in accord with the Declaration of Helsinki .
The present study included respiratory and exponent output data collected during repeated 30-s sprints. By using the GE-method ( Noordhof et al., 2013 ), we were able to calculate fresh and previously unpublished data on the energetic contribution during repeated 30-s sprints in elect cyclists. Part 1 of the present study presents the account aerobic and anaerobic mean might output and their relative contributions during sets of 3 × 30-s sprints interspersed by 4 min convalescence performed each hour during a 3-h LIT-session ( Figure 1, Part 1 ). In Part 2, we present the changes in count aerobic and anaerobic mean ability output and their proportional contributions during 4 × 30-s maximal sprints interspersed by 4 min recovery performed before and after a 14-d LIT-camp. The LIT-camp included 12 × 30-s maximal sprints during five LIT-sessions for the sprint ( SPR ) group, who were compared to a control group that performed distance-matched LIT-sessions without sprints ( CON ) ( Figure 1, Part 2 ). The four sets of 3 × 30-s sprints were performed during LIT-sessions with 30–60 min of low-intensity bicycle in between sets. schematic representations including specific time-points of sprints, V∙O2-measurements, and GE-calculations are shown in Figure 1 and participants ‘ characteristics are presented in table 1 .

Figure 1. schematic presentation of Part 1 ( upper control panel ) and Part 2 ( lower panel ). Part 1 included 12 elect cyclists who performed a 3-h low-intensity aim ( LIT ) -session including three sets of 3 × 30-s maximal sprints interspersed by 4 minute recovery. Part 2 included 18 elite cyclists who completed a operation test including 4 × 30-s maximal sprints interspersed by 4 min recovery, which was performed before ( Pre ) and after ( Post ) a 14-d train camp and subsequent 10-d recovery menstruation. A command group ( CON, n = 9 ) performed only LIT-sessions during the education camp, while a sprint group ( SPR, n = 9 ) included 12 × 30-s sprints on five of the LIT-sessions. Both SPR and CON performed a self-administered habituation-exercise test of ~1 planck’s constant including 4 × 30-s sprints the day before Pre and Post .

table 1

Table 1. Participants ‘ characteristics and physiologic variables determined during an incremental blood breastfeed profile trial and incremental trial to exhaustion to determine maximal oxygen consumption ( V∙O2max ) .

Testing Procedures

The participants reported to the lab for physiological test on the lapp time of the day ( ± 1 henry ) after at least 2 heat content of fasting. The participants were instructed to refrain from caffeine, beta-alanine and bicarbonate consumption 24 planck’s constant prior to testing and registered and replicated food inhalation and time of consumption for the end 24 henry leading up to the physiologic tests. All test was performed under see environmental conditions ( 16–18°C and 20–35 % relative humidity ) with a fan ensuring air circulation around the participant. In Part 1, the participants visited the lab on two occasions, 1 : to perform a blood breastfeed profile test and a V∙O2max test, and 2 : to perform an experimental protocol consisting of 3 h prolonged cycling including 3 sets of 3 × 30-s sprints interspersed by 1 min of passive recovery and 3 minute of active recovery. In Part 2, the participants visited the testing ground once and performed in one cohesive 2-hr experimental protocol a lineage lactate profile test, a V∙O2max examination, and a 60-min prolong bicycle bout including 4 × 30-s sprints with 4 min convalescence ( 1 min passive voice, 3 min active ) in between sprints, while the three distinct tests were interspersed by 10 min of active recovery .

Blood Lactate Profile Test and V∙O2max Test

The participants performed a rake breastfeed profile quiz followed by an incremental test to exhaustion as described elsewhere ( Almquist et al., 2020 ). Briefly, the participants cycled for 5 min at 175 W, followed by 50-W increments every 5 minute until a blood breastfeed assiduity ( [ BLa− ] ) of 3 mmol·L−1, after which increments were 25 W. The test was terminated at a [ BLa− ] of 4 mmol·L−1 or higher. After each 5-min increase, capillary blood was sampled from the fingertip and [ BLa− ] was analyzed using a Biosen C line ( EKF Diagnostic, Germany ). Based on these measures, the might output at 4 mmol·L−1 [ BLa− ] was calculated using linear interpolation. After 10-min of active convalescence, an incremental test to exhaustion was initiated to determine V∙O2max with 1-min increments, starting at 200–250 W depending on the participants former results. Power output increased by 25 W·min−1 until the participants were ineffective to maintain a bicycle frequency of > 60 revolutions per minute ( RPM ) despite verbal encouragement from the examination drawing card. Cycling drill was performed in the induct position on an electromagnetic brake hertz dynamometer ( Lode Excalibur Sport, Lode B. V., Groningen, The Netherlands ). Respiratory data were measured using a computerized metabolic system with a mix chamber ( Oxycon Pro, Erich Jaeger, Hoechberg, Germany ) which was calibrated every hour .

Experimental Protocols

depart 1 : On the second visit, the cyclists rode for 3 heat content at a world power output equivalent to 50 % V∙O2max, including 3 adam 30-s maximal sprints, interspersed by 1 min passive recovery and 3 min active convalescence at 100 W ( Figure 1 ). The power output corresponding to 50 % V∙O2max was calculated from the lineage lactate visibility and V∙O2max tests using linear interpolation. maximal sprints were performed in the seat stead using the Wingate modus with a flying start from 80 RPM and a resistance of 0.8 Nm·kg−1 body mass. During the experimental trial, cyclists consumed water, energy drinks and gels without caffeine ( Squeezy Sports Nutrition GmbH, Germany ) ad libitum to prevent dehydration and glycogen depletion .
separate 2 : Ten min after the incremental test, a 60-min continuous cycling screen including 4 × 30-s maximal sprints, separated by 1 min passive voice recovery and 3 min active convalescence ( 100 W ), was performed using a exchangeable design as previously described ( Almquist et al., 2021 ) ( Figure 1 ). due to the relatively short drill protocol of 60 min in Part 2 compared to Part 1, the participants rode at a baron output equivalent to 60 % V∙O2max alternatively of 50 % V∙O2max. Nutritional consumption during the experimental test before the prepare camp was exchangeable to Part 1 and was recorded and replicated during the experimental test after the prepare camp and subsequent convalescence menstruation .

Data Analysis

V∙O2max was calculated as the highest average of a 1-min go average using 5-s V∙O2-measurements. Wmax was calculated as the hateful baron end product during the concluding minute of the incremental test. GE was calculated using a two-min average V∙O2-measurement and respiratory substitute ratio ( RER ) during a steady-state menstruation riding at a ability output of ~50 % V∙O2max immediately anterior to each fit of 3 × 30-s sprints. Likewise for Part 2, GE was calculated using a hateful of two-min V∙O2 measurements and RER during a steady-state menstruation riding at a power end product of ~60 % of V∙O2max immediately prior to the set of 4 × 30-s sprints ( see Figure 1 ). GE was calculated by dividing ability output by world power input. Power input was calculated using the oxygen equivalent ( Peronnet and Massicotte, 1991 ), according to equation 1 .
Power input=L·s-1·(4840 J·L-1·RER+16,890 J·L-1)    (1)

due to the circulatory transit check from the muscles to the lungs when train cyclists started exercising moderately ( Barstow and Mole, 1991 ), a time-delay of 15 sulfur was applied to the respiratory data, based on previous measures in well-trained cyclists ( Mulder et al., 2015 ). The aerobically attributable mechanical office was determined from the metabolic power input, based on the average respiratory data during the 30-s sprint, and GE. The aerobic contribution during the first 30-s sprint was calculated using the GE determined immediately before the first dash. The aerobic contribution during the last 30-s sprint was calculated using the GE determined 6 minute after the last dash. Assuming a linear decrease in GE during short sprints ( Noordhof et al., 2015 ), the aerobic contribution during the second dash was calculated using the average GE from before and after the sprint set up. Subsequently, the anaerobically attributable mechanical world power was calculated by subtracting the aerobically attributable mechanical office from the mean baron output of each 30-s dash ( Serresse et al., 1988 ; Noordhof et al., 2013 ) .

Statistical Analyses

To compare absolute ( W ) and proportional ( % ) changes in the aerobic and anaerobic contribution during recur sprints and subsequent [ BLa− ], a blend linear model was applied. For Part 1, to compare main effects of dash issue within each set ( 1–3 ) and sprint sets ( 1–3 ), a shuffle linear mannequin was applied with fix effects defined by count of sprints, and dash fructify and random effects were defined by player. For Part 2, to compare main effects of group and time a desegregate linear model was applied with fixed effects defined by group and time, and random effects were defined by participant. To compare changes from Pre to Post between groups, the absolute and relative changes were corrected using Pre-values as a covariate. Whenever a meaning main effect was obtained a Sidak post hoc psychoanalysis was performed with an alpha-level of 0.05. All statistical analyses were done using SPSS v.25 ( IBM Corp, Armonk, NY, USA ). Hopkins ‘ ES using pooled SD were calculated to highlight the virtual significance of differences in changes between sprints and sets ( Part 1 ) and groups ( Part 2 ). The order of magnitude of the ES was interpreted as follows : < 0.2 trivial, 0.2–0.6 humble, 0.6–1.2 moderate, 1.2–2.0 big, and 2.0–4.0 very large difference ( Hopkins et al., 2009 ) .


Part 1

The Anaerobic and Aerobic Power and Contribution During Sets of 3 × 30-s Sprints

When repeating 30-s sprints, interspersed by 4 min recovery, the hateful ability output decreases with each subsequent dash ( p < 0.001 ). A higher mean world power output was reached during the first ( 815 ± 31 W ) compared to the moment ( 780 ± 30 W, p < 0.001, ES : 0.6 ) and the third dash ( 744 ± 30, p < 0.001, ES : 1.1 ). The decrease mean power was chiefly a solution of a decrease in hateful anaerobic baron, which decreased with repeat sprints ( p < 0.001, Figure 2 ). The anaerobic power was 36 ± 15 W lower during the second gear dash compared to the first dash ( p < 0.001, ES : 0.7 ) and 58 ± 16 W lower during the one-third sprint compared to the foremost ( p < 0.001, ES : 1.0 ), with the mean anaerobic baron besides being lower during the third sprint compared to the second dash ( −22 ± 13 W, p = 0.001, ES : 0.5 ). In addition, the aerobic power decreased during the third dash ( p < 0.001 ), being 17 ± 5 W, and 16 ± 5 W lower than during the first ( p < 0.001, ES : 0.7 ) and second dash ( p < 0.001, ES : 0.8 ), respectively, without a difference between the beginning and moment dash ( Figure 2 ) . FIGURE 2
Figure 2. Anaerobic and aerobic mean baron end product during duplicate sets of 3 × 30-s maximal sprints using the GE-method. Sprints were interspersed by 4 minute recovery and performed during a 3-h drawn-out cycle session riding at a power output equivalent to 50 % V∙O2max. Data are hateful ± 95 % CI, n = 12. a indicate meaning remainder from the beginning sprint ( p < 0.05 ). b indicates significant difference from the second dash ( p < 0.05 ) . The relative anaerobic contribution decreased from the beginning ( 63.6 ± 1.5 % ) to the second dash ( 62.0 ± 1.5 %, p < 0.001, ES : 0.6 ), and from the inaugural to the third sprint ( 62.4 ± 1.5 %, p = 0.001, ES : 0.4 ), while the relative aerobic contribution increased from the first ( 36.4 ± 1.5 % ) to the second sprint ( 38.0 ± 1.5 %, p < 0.001, ES : 0.6 ), and from the beginning to the one-third dash ( 37.6 ± 1.5 %, p = 0.001, ES : 0.4 ) .

The Anaerobic and Aerobic Power and Contribution When Repeating Sets of 30-s Sprints

There was no difference in base world power output between sprint sets ( p = 0.084 ). beggarly baron output was hence maintained from the first base determined ( 786 ± 30 W ), to the second determine ( 783 ± 30 W, p = 0.917, ES : 0.1 ) and third set ( 771 ± 30 W, p = 0.070, ES : 0.3 ). Neither mean anaerobic power ( beginning vs. second base determined : −14 ± 15 W, p = 0.060, ES : 0.3, first vs. third set −14 ± 15 W, p = 0.058, ES : 0.3 ), nor mean aerobic world power ( p = 0.485, ES : 0.0 ) changed between sets of sprints .
The proportional anaerobic contribution was unaltered between sets ( first gear set : 63.0 ± 1.5 %, moment set up : 62.7 ± 1.5 %, one-third adjust : 62.2 ± 1.5 %, p = 0.083, ES : 0.3 ), and likewise the aerobic contribution ( first set : 37.0 ± 1.5 %, second set : 37.3 ± 1.5 %, third put : 37.7 ± 1.5 %, p = 0.083, ES : 0.3 ) .

Part 2

Average Anaerobic and Aerobic Power and Contribution During a Set of Four 30-s Sprints

As previously presented ( Almquist et al., 2021 ), mean baron output during the 4 × 30-s sprints increased on modal by 25 ± 14 W in SPR ( p < 0.001, ES : 0.2 ) from before to after the prepare camp, which was 29 ± 20 W more than in CON ( p = 0.008, ES : 0.3 ), who maintained dash power ( −4 ± 13 W, p = 0.560, ES : 0.1 ). This improvement in mean dash might in SPR was due to a 15 ± 13 W increase in mean anaerobic ability ( p = 0.026, ES : 0.2 ), and a 9 ± 6 W ( p = 0.004, ES : 0.2 ) increase in base aerobic power ( Figure 3 ). Neither anaerobic office ( p = 0.361, ES : 0.1 ) nor aerobic office ( p = 0.413, ES : 0.1 ) changed in CON from Pre to Post. The increase in mean anaerobic power in SPR was greater than in CON ( 27 ± 38 W, p = 0.004, ES : 0.4 ). specifically, the anaerobic world power during the one-third and fourth dash increased more in SPR from Pre to Post than in CON ( 3rd : p = 0.001, ES : 0.4, 4th : p < 0.001, ES : 0.7 ). Mean aerobic exponent did not change differently between SPR and CON ( 4 ± 18 W, p = 0.676, ES : 0.1 ) .

Figure 3. (A) Calculated think of anaerobic and aerobic power output signal during 4 × 30-s maximal sprints interspersed by 4 min convalescence performed before ( Pre ) and after ( Post ) a 14-d discipline camp and a 10-d recovery period. (B) Changes in mean anaerobic and aerobic power output from Pre to Post. The training camp included daily low-intensity coach ( LIT ) while 12 × 30-s sprints were included during five LIT-sessions ( SPR, n = 8 ), compared to only performing LIT ( CON, n = 9 ). Data are intend ± 95 % CI. * indicates a significant main impression of time ( p < 0.05 ). § indicates significant post-hoc effects of group on baseline-corrected changes ( p < 0.05 ) . There were no differences in the proportional anaerobic or aerobic contributions between groups when correcting for baseline values. The relative anaerobic contribution did not change in SPR ( Pre : 59.5 ± 3.4 % vs. post : 59.7 ± 3.4 %, p = 0.727, ES : 0.0 ) nor CON ( Pre : 58.2 ± 3.2 % vs. mail : 57.8 ± 3.2 %, p = 0.315, ES : 0.1 ) from before to after the train camp. Likewise, the relative aerobic contribution did not exchange from before to after the educate camp in either SPR ( Pre : 40.4 ± 3.4 % vs. post : 40.3 ± 3.4 %, p = 0.727, ES : 0.0 ) nor CON ( Pre : 41.8 ± 3.2 % vs. post : 42.2 ± 3.2 %, p = 0.315, ES : 0.1 ) .


The aims of the present study were double : ( 1 ) to investigate the absolute and relative aerobic and anaerobic contributions of repeated 30-s sprints when included during a 3-h LIT-session using the GE-method, and ( 2 ) to investigate how the energetic contribution during recur sprints is affected by a 14-d high-volume aim camp when sprints are regularly included in LIT-sessions. first, we found that when elect cyclists performed three recur sprints, mean power output signal decreased with each subsequent sprint. This decrease was, as hypothesized, chiefly due to a moderate decrease in anaerobic office with each dash ( ES : 0.7–1.0 ), but besides due to a moderate decrease in aerobic power during the one-third sprint ( ES : 0.7–0.8 ). second, when performing sets of sprints during a 3-h LIT-session, the beggarly ability output signal and the corresponding energetic contributions during sprints were largely maintained, which supported our guess. third, when including sprints during five LIT-sessions on a 14-d train camp, SPR improved 4 × 30-s mean ability output by 29 ± 20 W more than CON, who only performed LIT-sessions. In support of our hypothesis, this improvement could chiefly be explained by an increase in anaerobic baron, particularly during the third and the fourthly sprint ( ES : 0.4–0.7 ), compared to CON .
Power end product decreases during repeated 30-s maximal sprints with 4 min of recovery in between. The major separate of this comes from a decrease in anaerobic might, which was reduced by ~36 W ( ~7 % ) from the first to the second dash, and by ~58 W ( ~11 % ) from the first to the third gear sprint ( moderate effects ). These mince decreases are much less than in untrained men, where the anaerobic power during a second 30-s maximal sprint was decreased by 41 % when sprints were interspersed by 4 min of passive recovery ( Bogdanis et al., 1996 ). During a 30-s maximal sprint, PCr stores become about completely depleted ( Walter et al., 1997 ), with the recovery of PCr between sprints being mediated by aerobic ATP-resynthesis, which is following a biexponential design ( Walter et al., 1997 ). During passive recovery in untrained subjects, ~80 % of PCr rebuilding is accomplished within ~90 mho, whereas complete convalescence is not obtained before ~10 min ( Walter et al., 1997 ). The recovery kinetics of PCr seem determined by oxygen handiness in the recovery menstruation ( Haseler et al., 1999 ). Likewise, recovery of exercise permissiveness after maximal efforts is affected by the proportional volume of exercise during an active agent convalescence time period ( Chidnok et al., 2012 ). therefore, a liaison between training condition and faster convalescence of both PCr ( Takahashi et al., 1995 ; Tomlin and Wenger, 2001 ) and anaerobic work capacitance in general ( represented by W ‘ ) ( Caen et al., 2021 ) has previously been suggested. together, this indicates that the eminent fitness-level of our elect cyclists potentially explains the smaller decreases in anaerobic power compared to untrained men. Although the major separate of the decrease in entail office output during repeat sprints came from a decline in anaerobic power, we besides found that the aerobic exponent decreased from the first to the third sprints by ~17 W ( ~6 %, moderate effect ). The reduce aerobic power production during repeated sprints might be related to perturbations of ion homeostasis, which have been suggested to lead to fatigue during acute use ( Hostrup and Bangsbo, 2017 ). Our findings of the relative aerobic contributions during 30-s sprints being ~36–38 % ( Part 1 ) and ~40–42 % ( Part 2 ), are in telephone line with previous reports using the accumulated oxygen deficit method in highly discipline runners ( Spencer and Gastin, 2001 ). Likewise, invasive studies in untrained men besides found an increasing relative aerobic contribution when 30-s sprints are repeated ( Bogdanis et al., 1996 ; Girard et al., 2011 ). however, in our elect cyclists, only a belittled addition in the relative aerobic contribution, from ~36 % to ~38 %, was observed when repeating 30-s sprints. In untrained subjects, the relative aerobic contribution increased from 34 to 49 % between the inaugural and a second gear 30-s sprint ( Bogdanis et al., 1996 ). Of bill, the cyclists in the give study started their foremost sprints from a higher power output ~181 W ( see Supplementary Table 1 ) compared to the moment and third base dash, where they exercised at 100 W. The higher V∙O2 before the first sprint probably explains the relatively high aerobic contribution during the foremost dash while a combination of a debauched recovery of anaerobic world power, a little decrease in absolute aerobic power, and a general reduction in ability end product explains the quite little changes in proportional contribution when repeating sprints .
When repeating sets of 30-s sprints during 3 h drawn-out bicycle, the bastardly ability output is maintained during the foremost 2 henry but a small ( ES : 0.3 ), non-significant decrease appears in the last sic of sprints in the third hour compared to the inaugural. This decrease is caused by a belittled, non-significant decrease in anaerobic power ( ES : 0.3 ), ultimately increasing the relative aerobic contribution during sprints. These rather small changes in dash power during elongated cycle are supported by a late study where professional, successful cyclists maintained sprint-ability with accumulating levels of cultivate done, and to a greater extent than non-successful cyclists ( van Erp et al., 2021b ). ultimately, our data indicate an about complete recovery of anaerobic power between repeated sets of maximal 30-s sprints, which contributes to maintenance of sprint-ability during drawn-out cycle .
inclusion of a belittled number of sprints ( 12 × 30-s during 5 LIT-sessions ) during a 14-d LIT-camp improved the average sprint baron in SPR compared to CON, which was chiefly due to an increased anaerobic power, specifically improving the last two out of four sprints. Our findings ( ~4 % improvement in 2 weeks ) are in line with a former study on recreational runners who increased oxygen debt after a one 30-s sprint by 18 % after 8 weeks of dash coach, indicating increased anaerobic work ( Nevill et al., 1989 ). Interestingly, a small increase in intend aerobic power was observed within SPR from before to after the train camp, although this addition was not different from CON. This was reasonably storm, since 7 weeks of intensify 30-s sprint educate in train cyclists rendered oxygen kinetics unaltered ( Christensen et al., 2015 ). however, this discrepancy might be explained by the greater increase in V∙O2 measured 30-s anterior to sprinting in SPR compared to CON after the education camp ( see details in our Supplementary Table 2 ). An elevated railway V∙O2 prior to sprinting could besides reflect a greater re-loading of oxygen bound to myoglobin ( Astrand et al., 1960 ; Richardson et al., 1995 ), buffering the initial oxygen demand with repeat sprint. furthermore, the improved aerobic might within SPR could reflect adaptations to the high aerobic stress during long 30-s sprints ( Buchheit et al., 2012 ), highlighting the relevance of such long sprints for both anaerobic and aerobic energy system development. still, the improved sprint performance after a period of dash prepare was chiefly ascribed to an improved anaerobic power .

Practical Applications

The introduce findings show that the decrease in dash power during reprise sprints stems chiefly from a decreased anaerobic power, although, aerobic power was besides decreased during the third sprint. This yields valuable insight into the energetics of perennial sprint in elect cyclists which seems to differ from untrained or physically active subjects, providing important practical insight into fitness-level differences in energetic contributions to intense exercise. numerical quantification of the depletion and reconstitution of the anaerobic capability has previously been investigated in physically active subjects ( Skiba et al., 2012 ; Chidnok et al., 2013 ). Our findings of altered anaerobic and aerobic power contributions when repeatedly sprinting during drawn-out cycle, consequently, ought to be taken into account when modeling anaerobic energy use in the future, something that is done in sports skill, but besides in sports practice. Of hardheaded interest is besides the small decrease in anaerobic baron between sprints in elect cyclists, indicating that elite cyclists are able to attack several times during a race without risking a substantial decrease in sprint-ability belated on. inclusion body of sprints during accustomed LIT-sessions shows rapid improvements in the reprise ability to produce anaerobic baron and thereby enhances sprint-ability in elite cyclists ( Almquist et al., 2020, 2021 ; Taylor et al., 2021 ). This improved ability may be crucial to optimize for tactical reasons, and coaches should therefore consider tracking cyclists ‘ individual, repeated sprint-ability during the season.

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Although the present findings yield valuable data regarding the energetics of repeat sprinting during low-intensity survival drill, the study blueprint besides includes some limitations. To ensure high choice in our VO2 and power output measures, all tests were performed on gold-standard testing ground equipment. however, to increase ecological cogency, these measures would benefit from being performed in real-life sprint-sessions i, through application of clothing respiratory apparatus ‘ and on-bike power meters .


mean dash ability decreases during repeated 30-s sprints, which primarily relates to a decrease in anaerobic power although aerobic power besides decreases slenderly. however, the preferably fast recovery of anaerobic baron leads to only moderate decreases in dash power during sets and maintains sprint-ability and corresponding energetic contributions when sets of sprints are repeated during drawn-out cycling in elect cyclists. finally, including a small number of sprints during LIT-sessions within a 14-d train camp improves sprint-ability chiefly through improved anaerobic power .

Data Availability Statement

The original contributions presented in the discipline are included in the article/ Supplementary Material, far inquiries can be directed to the comparable writer .

Ethics Statement

The studies involving human participants were reviewed and approved by Local ethics committee at Inland Norway University of Applied Sciences. The patients/participants provided their written informed accept to participate in this discipline .

Author Contributions

NA, ØS, and BR contributed to the conception and plan of the study. NA executed the study and collected data. NA and DN performed statistical analyses and wrote the enlist of the manuscript. All authors contributed to manuscript rewrite, read, and approved the submitted version .

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or fiscal relationships that could be construed as a potential conflict of interest .


The authors thank the group of commit students, Ine Løvlien, Anne Marit Bredalen, Inger Bonden, Arvid Nelson, Torstein Haaker Dagestad, Ole- Martin Lid, Ole Eirik Ekrem, Einar Trefall, Knut Brevig, Torgeir Skare Thygesen, Magnus Vesterheim, Malene Wilhelmsen, Sivert Bergan, and Kristian Aasen Tjønneland for their invaluable help during experimental days .

Supplementary Material

The Supplementary Material for this article can be found on-line at : hypertext transfer protocol : // # supplementary-material


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