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Sports Medicine

, Volume 45, Supplement 1, pp 5–12 | Cite as

Carbohydrate Dependence During Prolonged, Intense Endurance Exercise

  • John A. Hawley
  • Jill J. Leckey
Open Access
Review Article

Abstract

A major goal of training to improve the performance of prolonged, continuous, endurance events lasting up to 3 h is to promote a range of physiological and metabolic adaptations that permit an athlete to work at both higher absolute and relative power outputs/speeds and delay the onset of fatigue (i.e., a decline in exercise intensity). To meet these goals, competitive endurance athletes undertake a prodigious volume of training, with a large proportion performed at intensities that are close to or faster than race pace and highly dependent on carbohydrate (CHO)-based fuels to sustain rates of muscle energy production [i.e., match rates of adenosine triphosphate (ATP) hydrolysis with rates of resynthesis]. Consequently, to sustain muscle energy reserves and meet the daily demands of training sessions, competitive athletes freely select CHO-rich diets. Despite renewed interest in high-fat, low-CHO diets for endurance sport, fat-rich diets do not improve training capacity or performance, but directly impair rates of muscle glycogenolysis and energy flux, limiting high-intensity ATP production. When highly trained athletes compete in endurance events lasting up to 3 h, CHO-, not fat-based fuels are the predominant fuel for the working muscles and CHO, not fat, availability becomes rate limiting for performance.

Keywords

Endurance Training Muscle Glycogen Competitive Athlete Black Athlete Muscle Glycogenolysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

1 Introduction and Background

The major metabolic consequences of the adaptations of skeletal muscle to endurance training are a slower utilization of carbohydrate (CHO)-based fuels (muscle and liver glycogen, blood glucose and muscle, blood and liver lactate), a greater reliance on fat-based fuels [adipose and intramuscular triglycerides (TGs), blood-borne free fatty acids (FFAs) and TGs] and less lactate production during low- to moderate-intensity exercise [i.e., 45–65 % of maximal oxygen uptake (VO2max)]. These adaptations, in part, underpin the substantial increases in submaximal exercise capacity observed following endurance training. Accordingly, many athletes and coaches steadfastly believe that fat plays an important role while training for and competing in endurance events lasting up to 3 h and that training and/or nutritional strategies that “spare” CHO-based fuels and enhance the oxidation of fat-based fuels will improve exercise capacity. In this review, we demonstrate that rates of fat oxidation over a wide range of speeds/power outputs are not substantially altered after endurance training when exercise is undertaken at the same relative intensity. This is because a major goal of training for performance enhancement is to promote skeletal muscle adaptations that allow an athlete to work at both higher absolute and relative power outputs/speeds, becoming more, rather than less reliant, on CHO-based fuels. In support of this contention, we show that competitive endurance athletes train and race at intensities that are highly dependent on CHO for muscle contraction. We also demonstrate that fat-rich diets do not “spare” CHO (i.e., muscle glycogen) or improve training capacity or performance, but rather directly impair the high rates of muscle glycogenolysis that are a necessary prerequisite for successful endurance performance. Finally, we propose that competitive athletes freely select CHO-rich diets because this strategy is essential to sustain muscle energy reserves and meet the daily demands of strenuous high-intensity endurance training. Using these independent but related lines of evidence, we demonstrate that athletes training for and competing in endurance events lasting up to 3 h are CHO dependent.

2 Effects of Endurance Training on Patterns of Substrate Oxidation

It has become widely accepted that after a period of endurance exercise training, the non-protein respiratory exchange ratio [RER, volume of carbon dioxide production/volume of oxygen uptake (VCO2/VO2)] is lower, muscle glycogenolysis is reduced and fatty acid (FA) oxidation is greater compared with before training at a given exercise intensity. The phenomenon of increased fat utilization and CHO “sparing” in response to endurance training was first observed in early investigations using solely RER measures as an indirect estimate of whole-body substrate use [1]. It was not until the reintroduction of the percutaneous biopsy technique into exercise physiology that direct evidence of a training-induced muscle glycogen sparing effect was verified in humans [1, 2]. In recent years, indirect calorimetry in combination with isotopic tracer techniques and/or direct measures of substrate utilization from serial biopsies have been used to evaluate the regulation of endogenous fat and CHO metabolism in relation to exercise of varying intensities and a number of nutritional interventions [3, 4, 5, 6, 7]. Using a combination of these approaches, a large body of experimental evidence supports the overall interpretation that endurance training reduces the amount of CHO-based fuels oxidized during submaximal exercise, while the contribution from fat-based fuels to total energy expenditure increases [1, 8, 9].

While these general conclusions are valid, several caveats need to be considered within the framework of this paradigm. First, in the overwhelming majority of studies, subjects have only been tested at the same absolute (pre-training) work rate. Thus, even after short-term (i.e., 2- to 12-week) training interventions that typically improve VO2max by 10–15 %, the relative intensity of exercise (as a proportion of the new, higher VO2max) is usually 10 % lower post-training. Not surprisingly, under these experimental conditions, rates of fat oxidation are always higher. Remarkably, few studies have tested subjects at both the same absolute and relative exercise intensities after a period of endurance training. Second, most studies employ previously untrained, predominantly male subjects to investigate the effects of short-term training interventions on patterns of substrate use. While there are major physiological and metabolic changes induced by the implementation of endurance training regimens in previously sedentary subjects, the results from these investigations bear little relevance to well-trained athletes with a history of many years of training. Third, subjects are frequently tested at a single submaximal work rate before and after a training intervention, mostly during exercise of low or moderate intensity (i.e., <65 % VO2max) and seldom at higher work rates at which fat oxidation would be minimal [10]. Finally, in the majority of studies, subjects are tested after a 10- to 12-h overnight fast. Notwithstanding the fact that competitive athletes are unlikely to commence the majority of training sessions and/or races with low CHO availability, such conditions would be expected to increase the contribution of fat-based fuels to total energy requirements, at least during exercise of low-to moderate-intensity.

Experimental evidence to support the contention that prior endurance training has little effect on patterns of substrate utilization and that both untrained and highly trained individuals are CHO dependent at high exercise intensities comes from the work of Bergman and colleagues [4, 11]. In one study, these workers trained nine male subjects for 9 weeks and measured whole-body RER, leg respiratory exchange quotient (RQ), tracer-derived measures of FFA fractional extraction and muscle TG utilization during 1 h of cycling at two exercise intensities before (45 and 65 % of VO2max) and after training (65 % of pre-training VO2max, the same absolute intensity, and 65 % of post-training VO2max, the same relative intensity). The training program was successful in promoting significant metabolic adaptations including a 15 % increase in VO2max. When subjects were tested at the same absolute (pre-training) intensity (i.e., 65 % of pre-training VO2max, representing 54 % of the post-training VO2max), there were increases in rates of whole-body fat oxidation (a decrease in RER from 0.96 to 0.93). However, when tested at the same relative intensity (65 % of pre- and post-training VO2max), RER values (0.95), leg RQ (0.98), net FFA uptake and muscle TG utilization were not different. While the absolute amount of CHO- and fat-based fuels increased, these data demonstrate that the balance of substrate utilization was unaffected by prior endurance training and that CHO-derived energy sources are the major fuel source for working muscle even during 1 h of moderate-intensity exercise [4].

In a second study, Bergman and Brooks [11] evaluated the interaction of training status and pre-exercise nutritional state on rates of substrate oxidation during graded cycling exercise. RER values were significantly lower in well-trained compared with untrained individuals during low- (22 % of VO2max) and moderate-intensity (40 % of VO2max) cycling when fasted and also during moderate-intensity exercise when fed or fasted. However, there was no training effect (i.e., lower RER values), nor any training-nutrient interaction at higher exercise intensities (60 and 75 % of VO2max). These data demonstrate that because athletes train and compete at exercise intensities >40 % of VO2max, they will not oxidize a greater proportion of fat substrates compared with untrained subjects, regardless of nutritional state. Taken collectively, these results [4, 11] demonstrate that the balance of substrate utilization is unaffected by prior endurance training and even during moderate-intensity exercise CHO-derived energy sources are the main fuel source for working muscle. Furthermore, at exercise intensities >60 % of VO2max, the relative power output is more important in determining the balance of substrate oxidation than either training or nutritional status. These observations clearly show that when evaluating the effect of prior exercise training on patterns of substrate utilization, it is critical that the data be placed within the context of the exercise testing paradigm [12].

3 Endurance Athletes Train and Race at Intensities That Are Carbohydrate Dependent

A major goal of endurance training for the competitive athlete is to promote physiological and metabolic adaptations that increase the ability to sustain the highest average power output or speed of movement for a given distance [13, 14, 15]. In this regard, endurance training results in an increase in athletes’ VO2max and also the fractional utilization of that (higher) aerobic capacity that can be sustained during training and competition [16]. While the absolute rates of oxidation of all classes of energy substrates increase after training, CHO-based fuels become the predominant energy source for trained muscle when exercise intensities are >60 % of peak oxygen uptake (VO2peak). This is because the balance of substrate oxidation at any time during exercise is a function of training-induced adaptations (which promote CHO oxidation) and endurance training-induced adaptations (which promote lipid oxidation) [12].

Direct measures of rates of fuel utilization during field-based training or competition are scarce particularly in highly trained athletes. Furthermore, there are only a limited number of laboratory-based investigations that have determined rates of substrate oxidation at the high absolute power outputs/speeds and relative exercise intensities (i.e., >80 % of VO2peak) that can be sustained by athletes during training and racing [6, 7, 17, 18]. With regard to the metabolic demands of endurance cycling training, Stepto et al. [18] reported that during an interval session (comprising 8 × 5-min work bouts at 85 % of VO2peak, ~325 W), rates of CHO oxidation were ~315 μmol/kg body mass (BM)/min while rates of fat oxidation were ~tenfold lower at ~30 μmol/kg/min. During steady-state cycling at power outputs of 310–320 W (80–85 % of VO2peak) maintained for ~30 min, rates of CHO oxidation typically range from 300 to 350 μmol/kg/min, corresponding to RER values of between 0.91 and 0.97 [6, 7, 17]. Recent data from Boorsma et al. [19] in elite runners (VO2peak 80 ± 5 mL/kg/min, two subjects were Olympians) clearly show CHO dependence when running at speeds typically undertaken by these athletes in training. Boorsma et al. [19] determined rates of substrate oxidation from RER measures in eight male 1500-m runners during low- (50 % VO2peak), moderate- (65 % VO2peak) and high-intensity (80 % VO2peak) treadmill running. For the entire group, RER values were 0.85, 0.89 and 0.92 when running at 50, 65 and 80 % of VO2peak. However, for the top three runners with the highest VO2peak values (83.4 mL/kg/min), RER was greater (0.94) when running at 80 % of VO2peak. At this intensity (corresponding to a speed of 19 km/h, 3:09 min/km), CHO-based fuels contributed 81 % to the total energy cost of running (Boorsma and Spriet, personal communication).

With regard to laboratory-based measures of substrate utilization during simulated competition, an early investigation reported CHO dependence during long-distance running. In that investigation O’Brien et al. [20] had a group of “fast” or “slow” runners complete a treadmill marathon under conditions that would be expected to favor fat oxidation (i.e., non-CHO loaded, overnight fast, no exogenous CHO provision during exercise). The “fast” runners completed the marathon in 2 h 43 min while the “slow” runners finished in 3 h 30 min. Runners in the “fast” group sustained a significantly greater fractional utilization of aerobic capacity compared with the slow runners (75 vs. 65 % of VO2max; P < 0.05), resulting in average RER values that were markedly higher (0.99 vs. 0.90; P < 0.05). However, there was no significant difference between “fast” and “slow” runners in the total amount of CHO-based fuels oxidized; the higher rate of CHO oxidation in the “fast” group was compensated by a longer running time in the “slow” group such that the total CHO combusted was similar (757 vs. 688 g for “fast” and “slow” runners, respectively). The results of O’Brien et al. [20] and others [21, 22] clearly show CHO dependence during endurance running lasting up to 200 min.

Given that the current world record for the men’s marathon is 2 h 2 min 57 s (an average speed of 20.59 km/h, 2:55 min/km), it has been proposed that CHO oxidation may be the exclusive source of energy for the working muscles when racing at such velocities [23]. This premise, along with the notion that competitive athletes train at intensities that are CHO dependent, is underpinned by limited laboratory-based measures of substrate utilization collected from elite runners. Coetzer et al. [24] compared a range of physiological and metabolic measurements in the fastest nine white and 11 black South African middle- and long-distance runners at the time of investigation. These workers reported that while both groups had similar training volumes, black athletes completed more running at intensities >80 % of VO2max (36 vs. 14 %). At this intensity (equivalent to a running speed of 17 km/h), RER values measured during treadmill testing were 0.94, indicating 81 % of energy from CHO-based fuels. The fractional utilization of VO2max that could be sustained by black athletes was greater than that of white athletes such that at half-marathon pace (21 km/h), black athletes could sustain 90 % compared with 82 % of VO2max for the white runners. When running at 21 km/h (2:51 min/km), RER values approached 1.0 (total reliance on CHO-based fuels). When exercising at such high intensities, the energy yield per given volume of oxygen is 5.2 % higher from CHO- than fat-based fuels (5.058 vs. 4.795 kcal, respectively) [25]. Indeed, an increase in RER from 0.97 to 1.00 results in a 0.73 % increase in energy yield per liter of O2 consumed, and since the relationship between VO2 and speed is linear, this could potentially increase running speed by 0.15 km/h and improve the current world marathon record by approximately 50 s.

With regard to the substrate demands of intense endurance cycling, we have recently obtained data for eight competitive cyclists during a series of simulated time trials (TTs) lasting 60, 90 and 120 min and ridden at ≥80 % of VO2max (Torrens and Areta, personal communication). These data show CHO dependence for all TTs independent of duration (mean RER values 0.97, 0.96 and 0.94, mean rates of CHO oxidation 360, 317 and 308 μmol/kg/min for 60-, 90- and 120-min TTs, respectively). Moreover, Cole et al. [26] have reported that gross mechanical efficiency during prolonged (2-h) cycling is improved and the decrease in efficiency over time attenuated, following 3 days of a high- (70 % of energy) compared with both a moderate- (45 % of energy) and low-CHO (20 % of energy) diet. While further work with elite athletes is needed to determine the metabolic demands of training and racing, it is clear that bioenergetics of sustained, high-intensity endurance exercise is CHO- rather than fat-dependent and that CHO is a more efficient fuel for muscular contraction during intense endurance exercise.

4 Altering Substrate Availability Markedly Alters Patterns of Substrate Utilization but Does Not Enhance Exercise Capacity/Performance

The concept of altering substrate availability to modify the pattern of fuel utilization during exercise dates back almost a century when Krogh and Lindhard [25] first reported that subjects placed on a high-fat, low-CHO diet for several days had lower RER values during submaximal cycling than when they consumed a CHO-rich diet. Since that time, many studies have manipulated lipid availability before or during exercise and reported increased rates of fat oxidation and a “sparing” of endogenous CHO reserves, although these effects fail to translate into improved exercise performance. The topic of high-fat diets and athletic performance is summarized in a companion paper in this supplement [27] and has previously been reviewed elsewhere [28, 29]. However, given the renewed interest in promoting high-fat diets for endurance sport [30, 31], it is necessary to provide unequivocal evidence to demonstrate that such diets are detrimental for training and racing in endurance events lasting several hours.

The first modern-day investigation to revive interest in the concept of high-fat diets for athletic performance was that of Phinney et al. [32]. These workers studied five well-trained cyclists who first consumed a “balanced diet” for 1 week [BAL; 35–50 kcal/kg/day, 1.75 g protein/kg/day with the remainder of energy coming from CHO (66 %) and fat (33 %)] followed by 28 days of an isoenergetic, high-fat, low-CHO diet (KETO; <20  g/day). Although subjects were requested to continue with their normal training throughout the study, no objective measures of the volume, intensity or frequency of sessions, or the subjective ratings of perceived exertion (RPE) were reported. Furthermore, no metabolic parameters were collected during this period. At the end of the dietary intervention period, exercise capacity was assessed by the time to volitional fatigue while cycling at 63 % of VO2max and was not different between BAL and KETO (147 ± 13 vs. 151 ± 25 min; P = 0.9). However, the average RER during the submaximal ride to exhaustion declined from 0.83 to 0.72 after the KETO diet, and this increase in fat oxidation coincided with a threefold drop in glucose oxidation and a fourfold reduction in muscle glycogen utilization [32]. The preservation of submaximal exercise capability appears impressive until one examines the individual responses to the dietary interventions: two subjects performed worse after the KETO diet, one performed the same, while of the two subjects who did improve, one rode substantially longer (148 vs. 232 min) so as to markedly skew the mean time. Of note was that four of the five subjects had a decline in VO2max after the KETO diet while RER values at the end of the maximal test dropped from 1.0 to <0.9 in four subjects.

With regard to the effects of high-fat diets on training capacity, Stepto et al. [18] reported that subjective RPE was significantly greater after just 4 days of a fat-rich diet compared with an isoenergetic high-CHO diet when well-trained cyclists/triathletes undertook a standardized laboratory-based bout of intense interval training. In that study [18], RPE during non-laboratory training was also greater for cycling and all “other training,” during the high-fat compared with the high-CHO diet. In an effort to assess the impact of dietary changes on training and daily life, Stepto et al. [18] administered the Profile of Moods State (POMS) inventory to their subjects at the end of each day of the intervention. The global POMS score was significantly greater after 4 days of the high-fat compared with the high-CHO diet, while the individual POMS score for fatigue was also higher at this same time point [18]. To the best of our knowledge, only one other study has administered the POMS inventory to athletes while consuming a high-fat diet and attempting to maintain their normal training schedule. In that investigation, Keith et al. [33] reported an elevation in total mood score but no difference for the fatigue component of the inventory when moderately trained female subjects (VO2peak 55 mL/kg/min) consumed a high-fat, low-CHO diet versus a high-CHO diet for 7 days.

As noted previously [29], high-fat “ketogenic” diet strategies represent as much a low-CHO challenge (i.e., training in the face of low muscle glycogen availability) as a high-fat challenge (i.e., training with high fat availability) and during such interventions muscle (and possibly liver) glycogen content is dramatically reduced. As such, recent interventions have focused on nutritional and training approaches that optimize endogenous CHO stores while concurrently maximizing the capacity for fat oxidation during continuous, moderate-intensity exercise. Such “nutritional periodization” typically encompasses a short-term (i.e., 5–6 days) high fat diet (60–70 % of total energy intake) followed by 24–36 h of high-CHO intake (70–80 % of energy, “CHO restoration”). Despite the brevity of the fat-adaptation period compared with some previous studies [32, 34], ingestion of a high-fat diet and the associated increased availability of FFA induces substantially higher rates of fat oxidation and concomitant muscle glycogen “sparing” during prolonged, submaximal exercise compared with an isoenergetic high-CHO diet (for reviews see [27, 28, 29]). Higher rates of fat oxidation during exercise persist even under conditions in which CHO availability is increased (i.e., a high-CHO meal before exercise and/or ingesting CHO-containing solutions during exercise) [35]. Yet, despite these robust changes in the patterns of fuel utilization that favor fat oxidation and “spare” endogenous glycogen utilization, high-fat, low-CHO diet strategies do not provide any benefit to the performance of prolonged endurance exercise, nor do they enhance training capacity. This is partly because the high rates of CHO oxidation obligatory to sustain the absolute and relative work rates typically attained by well-trained athletes during both training and competition when consuming a high-CHO diet are accompanied by increased glycolytic flux that directly inhibits lipolysis and the consequent uptake and oxidation of long-chain FAs [36, 37, 38]. While fat metabolism is down-regulated in the face of increasing CHO flux/availability and when moving from moderate to intense exercise, a reciprocal relationship exists to demonstrate that CHO metabolism is down-regulated in the face of increased fat availability. This glycogen “sparing” effect was originally seen as a positive outcome of a high-fat diet, but is now recognized as a direct impairment to CHO metabolism and likely underpins some of the reductions in exercise capacity observed after high-fat feeding.

High-fat diets rapidly down-regulate the amount of the pyruvate dehydrogenase (PDH) protein in the active form (PDHa) found at rest [39, 40]. This down-regulation is accomplished by rapid up-regulation of the enzyme PDH kinase (PDK), which moves PDH to the inactive form. Collectively, these mechanisms decrease CHO oxidation in the face of sub-optimal CHO availability, a response partly mediated by a reduction in circulating insulin concentration and the increased FFA levels after high-fat feeding [40]. During submaximal exercise following fat adaptation [41] and also fat adaptation and CHO restoration [42], PDH activation is reduced both at rest and over a range of exercise intensities. In this regard, the results of Stellingwerff et al. [42] are important. These workers measured muscle PDH activity before, during and after 20 min of cycling at 70 % VO2peak and before and after 1 min of maximal sprinting at 150 % peak power output. Estimations of muscle glycogenolysis from serial biopsies were made during the initial minute of submaximal exercise at 70 % VO2peak and immediately before and after the 1-min sprint. Despite 1 day of a high-CHO diet following 5 days of fat adaptation, resting PDH activity was 50 % lower than when subjects consumed a high-CHO diet for 6 days. During the first minute of submaximal exercise at 70 % of VO2peak (211 W), rates of muscle glycogenolysis were reduced after fat adaptation/CHO restoration compared with the high-CHO condition due to substantially less pyruvate oxidation (via PDH flux). Even during the maximal 1-min sprint (~502 W), rates of glycogenolysis were reduced following the high-fat diet treatment. The suppression of PDH activity and rates of muscle glycogenolysis following high-fat diets impacts directly on high-intensity exercise capacity. Following moderate- and high-intensity aerobic training, maximal PDH activity increases [43, 44] to support the high rates of CHO oxidation that are essential for work rates requiring >80 % of VO2max. Therefore, the persistence of down-regulated PDH activity following fat-adaptation strategies, even in the face of CHO restoration, suggests that such dietary interventions are not advisable in situations in which sustained high-intensity efforts are required. Direct evidence of a negative effect of a high-fat diet on performance comes from Havemann et al. [45] and has been extensively discussed elsewhere [27, 46]. Consistent with the inhibition of resting and exercise-induced PDH activity, Raper et al. [47] have recently reported slower VO2 kinetics following 6 days of a high-fat diet compared with a high-CHO diet. Perhaps the final word on the topic of high-fat diets should be afforded to Phinney et al. [32], who stated unambiguously three decades ago that “there is potential benefit in a keto-adapted state for athletes participating in prolonged endurance exercise over two or more days.” Somewhere, this message seems to have been lost in translation in application to typical Olympic sports!

5 Competitive Endurance Athletes Freely Choose to Consume High-Carbohydrate, Not High-Fat Diets

Twenty years ago it was claimed “despite the recent intrusion of sports nutritionists dedicated to the promotion of high CHO diets, athletes do not eat such CHO-rich diets in training and have not increased their CHO intake over the past 50 years” [48]. With recent calls to abandon high-CHO in favor of high-fat diets [30, 31], it is appropriate to briefly scrutinize the dietary habits of highly trained endurance athletes and assess whether these practices have changed in the last five decades. Although it would be naïve to attribute direct cause and effect between dietary practices and training/performance outcomes, one might assume that the majority of athletes through either a trial and error approach or after seeking professional nutritional advice, voluntarily consume a diet that meets the energy requirements of daily training, is palatable and appetizing, minimizes gastrointestinal discomfort during training/racing, optimizes physical and mental performance, and enhances recovery. The basic premise underlying our viewpoint is that if it were advantageous to consume high-fat diets, the best athletes would be following such practices. They are not!

A comprehensive review of the available literature on the dietary practices of athletes was conducted in 2000 to address some of the challenges made around the self-chosen CHO intakes of athletes [49]. Male endurance athletes typically consumed daily CHO intakes of 5–7 g/kg BM/day for general training needs, with some evidence that this was a higher intake than observed among athletes from earlier studies [49]. Some investigations involving competition nutrition, periods of increased training or elite athletes such as the Kenyan distance runners [50] or Tour de France cyclists [51] have reported greater intakes of 7–12 g of CHO/kg/day for periods. These CHO intakes, and the concomitantly moderate intakes of fat, are in line with sport nutrition guidelines of the corresponding era [52]. It should be noted that in contrast to male endurance athletes, some females are less likely to achieve recommended CHO intake guidelines, mostly due to their lower relative energy intake [49]. Notwithstanding possible limitations of dietary survey techniques when assessing the adequacy of the dietary practices of athletes (i.e., potential errors caused by under-reporting or under-eating during the period of the survey), the available data clearly demonstrate that endurance athletes from the 1990s up to 2005 consumed diets high in CHO and low in fat.

Official dietary guidelines for athletes have evolved over the last few decades to better define the goals and targets for optimal CHO intake in training and competition. Such guidelines now promote the goal of “high CHO availability” (intake of CHO targeted to meet the specific substrate needs of training/competition) rather than absolute CHO intakes per se. Furthermore, such a goal is aligned to training sessions or events when optimal performance is required, and there is tacit acknowledgement that higher CHO intakes or high CHO availability may not be needed around other sessions [27, 53]. Indeed, there are evolving practices of dietary periodization whereby some sessions are deliberately undertaken with low CHO availability to promote training adaptations [54, 55]. It should be emphasized, however, that these strategies are implemented acutely, are periodized so as to make up a small proportion of the training program, are avoided when high-quality/intensity training outputs are required, and are generally not achieved via the intake of a high-fat diet [56, 57, 58]. The overriding philosophy of undertaking quality training and competition with high CHO availability, to both promote training adaptations and the use of CHO as a substrate for the brain and central nervous system while performing optimally, is preserved [53]. While data regarding how highly trained competitive endurance athletes implement such practices is unavailable, evidence supports the notion that these athletes freely select CHO-rich or CHO-periodized diets rather than fat-rich diets. Such a strategy is essential to sustain muscle energy reserves and meet the daily demands of strenuous endurance training sessions. Whether this is a “neuro-biological” phenomenon (i.e., trial and error) or, indeed, due to the persuasive powers of sports nutritionists and the sports beverage industry has been the topic of previous discourse [59].

6 Summary and Directions for Further Research

The main purpose of training for the enhancement of performance of prolonged (up to 3 h), continuous, high-intensity endurance sport is to promote a range of physiological and metabolic adaptations that permit an athlete to work at both higher absolute and relative power outputs/speeds and delay the onset of fatigue. To meet these goals, competitive endurance athletes perform a large proportion of their daily training at intensities that are close to race pace and highly dependent on CHO-based fuels for muscle metabolism. Consequently, to sustain muscle energy reserves and meet the daily demands of strenuous endurance training sessions, competitive athletes freely select CHO-rich diets.

Despite renewed popular interest in high-fat, low-CHO diets for endurance sports, fat-rich diets do not “spare” CHO (i.e., muscle glycogen) or improve training capacity/performance but, instead, directly impair rates of muscle glycogenolysis and energy flux. This down-regulation of CHO metabolism underpins the reductions in high-intensity exercise capacity observed after high-fat feeding. Indeed, when highly trained athletes compete in endurance events lasting up to 3 h, CHO-, not fat-based, fuels are the predominant fuel for the working muscles and CHO, not fat, availability becomes rate limiting for performance.

We presently lack detailed information on the metabolic demands of the training practices of competitive endurance athletes. This applies to the fuel requirements of individual training sessions as well as the impact of undertaking several workouts a day and/or multiple sessions in different disciplines (i.e., triathletes). Longitudinal data collected throughout an entire competitive season or during specific periodized training blocks are also needed to assess whether the energy (i.e., CHO) intakes of athletes fluctuate in accordance with alterations in training volume and load. Recent technological advances in gathering personalized diet information via mobile phone applications should aid in this quest. There is also an absence of data on the fuel requirements of elite athletes during actual competition. While the practical difficulties inherent in obtaining such information are acknowledged, laboratory-based measures of substrate oxidation in sub-elite athletes at the work rates/intensities sustained by competitive athletes during actual races would provide valuable insight into the extreme bioenergetics required for success in endurance events. In the meantime, it seems prudent to continue to recommend that well-trained athletes training for and competing in high-intensity endurance events lasting up to 3 h consume a diet commensurate with their periodized training requirements, and ensure high CHO availability before and during major competitions.

Notes

Acknowledgments

This article was published in a supplement supported by the Gatorade Sports Science Institute (GSSI). The supplement was guest edited by Lawrence L. Spriet who attended a meeting of the GSSI expert panel (XP) in March 2014 and received honoraria from GSSI for his participation in the meeting. He received no honoraria for guest editing the supplement. Dr. Spriet selected peer reviewers for each paper and managed the process. John Hawley, PhD also attended the GSSI XP meeting in March 2014 and received honoraria from the GSSI, a division of PepsiCo, Inc., for his meeting participation and the writing of this manuscript. The views expressed in this manuscript are those of the author and do not necessarily reflect the position or policy of PepsiCo, Inc. The authors acknowledge the constructive comments made by Prof. Louise Burke in the preparation and writing of this review.

References

  1. 1.
    Hawley JA, Maughan RJ, Hargreaves M. Exercise metabolism: historical perspective. Cell Metab. 2015;22(1):12–7.CrossRefPubMedGoogle Scholar
  2. 2.
    Karlsson J, Nordesjö LO, Saltin B. Muscle glycogen utilization during exercise after physical training. Acta Physiol Scand. 1974;9:210–7.CrossRefGoogle Scholar
  3. 3.
    Arkinstall MJ, Bruce CR, Clark SA, et al. Regulation of fuel metabolism by preexercise muscle glycogen content and exercise intensity. J Appl Physiol. 2004;97:2275–83.CrossRefPubMedGoogle Scholar
  4. 4.
    Bergman BC, Butterfield GE, Wolfel EE, et al. Evaluation of exercise and training on muscle lipid metabolism. Am J Physiol. 1999;276:E106–17.PubMedGoogle Scholar
  5. 5.
    Hawley JA, Bosch AN, Weltan SM, et al. Effects of glucose ingestion or glucose infusion on fuel substrate kinetics during prolonged exercise. Eur J Appl Physiol Occup Physiol. 1994;68:381–9.CrossRefPubMedGoogle Scholar
  6. 6.
    Romijn JA, Colye EF, Sidossis LS, et al. Regulation of endogenous fat and carbohydrate metabolism in relation to exercise intensity and duration. Am J Physiol. 1993;265:E380–91.PubMedGoogle Scholar
  7. 7.
    Van Loon LJ, Greenhaff PL, Constantin-Teodosiu D, et al. The effects of increasing exercise intensity on muscle fuel utilisation in humans. J Physiol. 2001;536:295–304.PubMedCentralCrossRefPubMedGoogle Scholar
  8. 8.
    Gollnick PD. Metabolism of substrates: energy substrate metabolism during exercise and as modified by training. Fed Proc. 1985;44:353–7.PubMedGoogle Scholar
  9. 9.
    Holloszy JO, Coyle EF. Adaptations of skeletal muscle to endurance exercise and their metabolic consequences. J Appl Physiol. 1984;56:831–8.PubMedGoogle Scholar
  10. 10.
    Achten J, Jeukendrup AE. Maximal fat oxidation during exercise in trained men. Int J Sports Med. 2003;24:603–8.CrossRefPubMedGoogle Scholar
  11. 11.
    Bergman BC, Brooks GA. Respiratory gas-exchange ratios during graded exercise in fed and fasted trained and untrained men. J Appl Physiol. 1999;86:479–87.PubMedGoogle Scholar
  12. 12.
    Brooks GA, Mercier J. Balance of carbohydrate and lipid utilisation during exercise: the “crossover” concept. J Appl Physiol. 1994;76:2253–61.PubMedGoogle Scholar
  13. 13.
    Hawley JA. Adaptations of skeletal muscle to prolonged, intense endurance training. Clin Exp Pharmacol Physiol. 2002;29:218–22.CrossRefPubMedGoogle Scholar
  14. 14.
    Joyner MJ, Coyle EF. Endurance exercise performance: the physiology of champions. J Physiol. 2008;586:35–44.PubMedCentralCrossRefPubMedGoogle Scholar
  15. 15.
    Williams C, Brewer J, Patton A. The metabolic challenge of the marathon. Br J Sports Med. 1984;18:244–52.PubMedCentralCrossRefPubMedGoogle Scholar
  16. 16.
    Costill DL, Thomason H, Roberts E. Fractional utilization of the aerobic capacity during distance running. Med Sci Sports. 1973;5:248–52.PubMedGoogle Scholar
  17. 17.
    Hawley JA, Burke LM, Angus DJ, et al. Effect of altering substrate availability on metabolism and performance during intense exercise. Br J Nutr. 2000;84:829–38.CrossRefPubMedGoogle Scholar
  18. 18.
    Stepto NK, Carey AL, Staudacher HM. Effect of short-term fat adaptation on high intensity training. Med Sci Sports Exerc. 2002;34:449–55.CrossRefPubMedGoogle Scholar
  19. 19.
    Boorsma RK, Whitfield J, Spriet LL. Beetroot juice supplementation does not improve performance in elite 1500-m runners. Med Sci Sports Exerc. 2014;46:2326–34.CrossRefPubMedGoogle Scholar
  20. 20.
    O’Brien MJ, Viguie CA, Mazzeo RS, et al. Carbohydrate dependence during marathon running. Med Sci Sports Exerc. 1993;25:1009–17.CrossRefPubMedGoogle Scholar
  21. 21.
    Bosch AN, Goslin BR, Noakes TD, et al. Physiological differences between black and white runners during a treadmill marathon. Eur J Appl Occup Physiol. 1990;61:68–72.CrossRefGoogle Scholar
  22. 22.
    Costill DL. Metabolic responses during distance running. J Appl Physiol. 1970;28:251–5.PubMedGoogle Scholar
  23. 23.
    Spriet LL. Regulation of substrate use during the marathon. Sports Med. 2007;37:332–6.CrossRefPubMedGoogle Scholar
  24. 24.
    Coetzer P, Noakes TD, Sanders B, et al. Superior fatigue resistance of elite black South African distance runners. J Appl Physiol. 1993;75:1822–7.PubMedGoogle Scholar
  25. 25.
    Krogh A, Lindhard J. The relative value of fat and carbohydrate as sources of muscular energy: with appendices on the correlation between standard metabolism and the respiratory quotient during rest and work. Biochem J. 1920;14:290–363.PubMedCentralCrossRefPubMedGoogle Scholar
  26. 26.
    Cole M, Coleman D, Hopker J, et al. Improved gross efficiency during long duration submaximal cycling following a short-term high carbohydrate diet. Int J Sports Med. 2014;35:265–9.PubMedGoogle Scholar
  27. 27.
    Burke LM. Re-examining high-fat diets for sports performance: did we call the ‘nail in the coffin’ too soon? Sports Med. 2015;45.Google Scholar
  28. 28.
    Burke LM, Hawley JA. Effects of short-term fat adaptation on metabolism and performance of prolonged exercise. Med Sci Sports Exerc. 2002;34:1492–8.CrossRefPubMedGoogle Scholar
  29. 29.
    Yeo WK, Carey AL, Burke L, et al. Fat adaptation in well-trained athletes: effects on cell metabolism. Appl Physiol Nutr Metab. 2011;36:12–22.CrossRefPubMedGoogle Scholar
  30. 30.
    Noakes T, Volek JS, Phinney SD. Low-carbohydrate diets for athletes: what evidence? Br J Sports Med. 2014;48:1077–8.CrossRefPubMedGoogle Scholar
  31. 31.
    Volek JS, Noakes T, Phinney SD. Rethinking fat as a fuel for endurance exercise. Eur J Sport Sci. 2015;15:13–20.CrossRefPubMedGoogle Scholar
  32. 32.
    Phinney SD, Bistrian BR, Evans EJ. The human metabolic response to chronic ketosis without caloric restriction: preservation of submaximal exercise capability with reduced carbohydrate oxidation. Metabolism. 1983;32:769–76.CrossRefPubMedGoogle Scholar
  33. 33.
    Keith RE, Okeeffe KA, Blessing DL, et al. Alterations in dietary carbohydrate, protein, and fat intake and mood state in trained female cyclists. Med Sci Sports Exerc. 1991;23:212–6.CrossRefPubMedGoogle Scholar
  34. 34.
    Lambert EV, Speechly DP, Dennis SC, et al. Enhanced endurance in trained cyclists during moderate intensity exercise following 2 weeks adaptation to a high fat diet. Eur J Appl Physiol Occup Physiol. 1994;69:287–93.CrossRefPubMedGoogle Scholar
  35. 35.
    Burke LM, Hawley JA, Angus DJ, et al. Adaptations to high-fat diet persist during exercise despite high carbohydrate availability. Med Sci Sports Exerc. 2002;34:83–91.CrossRefPubMedGoogle Scholar
  36. 36.
    Coyle EF, Jeukendrup AE, Wagenmakers AJ, et al. Fatty acid oxidation is directly regulated by carbohydrate metabolism during exercise. Am J Physiol. 1997;273:E268–75.PubMedGoogle Scholar
  37. 37.
    Romijn JA, Coyle EF, Sidossis LS, et al. Relationship between fatty acid delivery and fatty acid oxidation during strenuous exercise. J Appl Physiol. 1995;79:1939–45.PubMedGoogle Scholar
  38. 38.
    Spriet LL. New insights into the interaction of carbohydrate and fat metabolism during exercise. Sports Med. 2014;44:S87–96.CrossRefPubMedGoogle Scholar
  39. 39.
    Peters SJ, St Amand TA, Howlett RA, et al. Human skeletal muscle pyruvate dehydrogenase kinase activity increases after a low-carbohydrate diet. Am J Physiol. 1998;275:E980–6.PubMedGoogle Scholar
  40. 40.
    Peters SJ, Harris RA, Wu P. Human skeletal muscle PDH kinase activity and isoform expression during a 3-day high-fat/low-carbohydrate diet. Am J Physiol. 2001;281:E1151–8.Google Scholar
  41. 41.
    Putman CT, Spriet LL, Hultman E, et al. Pyruvate dehydrogenase activity and acetyl group accumulation during exercise after different diets. Am J Physiol. 1993;265:E752–60.PubMedGoogle Scholar
  42. 42.
    Stellingwerff T, Spriet L, Watt MJ, et al. Decreased PDH activation and glycogenolysis during exercise following fat adaptation with carbohydrate restoration. Am J Physiol. 2006;290:E380–8.Google Scholar
  43. 43.
    LeBlanc PJ, Peters SJ, Tunstall RJ, et al. Effects of aerobic training on pyruvate dehydrogenase and pyruvate dehydrogenase kinase in human skeletal muscle. J Physiol. 2004;557:559–70.PubMedCentralCrossRefPubMedGoogle Scholar
  44. 44.
    Perry CG, Heigenhauser GJ, Bonen A, et al. High-intensity aerobic interval training increases fat and carbohydrate metabolic capacities in human skeletal muscle. Appl Physiol Nutr Metab. 2008;33(6):1112–23.CrossRefPubMedGoogle Scholar
  45. 45.
    Havemann L, West SJ, Goedecke JH, et al. Fat adaptation followed by carbohydrate loading compromises high-intensity sprint performance. J Appl Physiol. 2006;100:194–202.CrossRefPubMedGoogle Scholar
  46. 46.
    Burke LM, Kiens B. “Fat adaptation” for athletic performance: the nail in the coffin? J Appl Physiol. 2006;100:7–8.CrossRefPubMedGoogle Scholar
  47. 47.
    Raper JA, Love LK, Paterson DH, et al. Effect of high-fat and high-carbohydrate diets on pulmonary O2 uptake kinetics during the transition to moderate-intensity exercise. J Appl Physiol. 2014;117:1371–9.PubMedCentralCrossRefPubMedGoogle Scholar
  48. 48.
    Noakes TD. Wolffe memorial lecture. Challenging beliefs: ex Africa semper aliquid novi. Med Sci Sports Exerc. 1997;29:571–90.CrossRefPubMedGoogle Scholar
  49. 49.
    Burke LM, Cox GR, Cummings NK, et al. Guidelines for daily carbohydrate intake: do athletes achieve them? Sports Med. 2001;31:267–99.CrossRefPubMedGoogle Scholar
  50. 50.
    Onywera VO, Kiplamai FK, Boit MK, et al. Food and macronutrient intake of elite Kenyan distance runners. Int J Sport Nutr Exerc Metab. 2004;14:709–19.PubMedGoogle Scholar
  51. 51.
    Saris WHM, Van Erp-Baart MA, Brouns F, et al. Study on food intake and energy expenditure during extreme sustained exercise: the Tour de France. Int J of Sports Medicine. 1989;10:S26–31.CrossRefGoogle Scholar
  52. 52.
    Burke LM, Kiens B, Ivy JL. Carbohydrates and fat for training and recovery. J Sports Sci. 2004;22:15–30.CrossRefPubMedGoogle Scholar
  53. 53.
    Burke LM, Hawley JA, Wong SH, et al. Carbohydrates for training and competition. J Sports Sci. 2011;29:S17–27.CrossRefPubMedGoogle Scholar
  54. 54.
    Hansen AK, Fischer CP, Plomgaard P, et al. Skeletal muscle adaptation: training twice every second day vs. training once daily. J Appl Physiol. 2005;98:93–9.CrossRefPubMedGoogle Scholar
  55. 55.
    Yeo WK, Paton CD, Garnham AP, et al. Skeletal muscle adaptation and performance responses to once a day versus twice every second day endurance training regimens. J Appl Physiol. 2008;105:1462–70.CrossRefPubMedGoogle Scholar
  56. 56.
    Lane SC, Camera DM, Lassiter DG, et al. Effects of sleeping with reduced carbohydrate availability on acute training responses. J Appl Physiol. 2015;119(6):643–55.CrossRefPubMedGoogle Scholar
  57. 57.
    Hawley JA, Burke LM. Carbohydrate availability and training adaptation: effects on cell metabolism. Exerc Sport Sci Rev. 2010;38:152–60.CrossRefPubMedGoogle Scholar
  58. 58.
    Hawley JA, Morton JP. Ramping up the signal: promoting endurance training adaptations in skeletal muscle by nutrition manipulation. Proc Austr Physiol Soc. 2013;44:109–15.Google Scholar
  59. 59.
    Noakes TD. Commentary: role of hydration in health and exercise. Br Med J. 2012;345:e4171.CrossRefGoogle Scholar

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© The Author(s) 2015

Open AccessThis 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.

Authors and Affiliations

  1. 1.The Mary MacKillop Institute for Health Research, Centre for Exercise and NutritionAustralian Catholic UniversityFitzroyAustralia
  2. 2.Research Institute for Sport and Exercise SciencesLiverpool John Moores UniversityLiverpoolUK

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