PART I: HISTORY OF MAXIMUM OXYGEN UPTAKE
The term “maximal oxygen uptake” was coined and defined by Hill et al. (41,42) and Herbst (39) in the 1920s (74). The V̇O2max paradigm of Hill and Lupton (42) postulates that:
1. there is an upper limit to oxygen uptake,
2. there are interindividual differences in V̇O2max,
3. a high V̇O2max is a prerequisite for success in middle- and long-distance running,
4. V̇O2max is limited by ability of the cardiorespiratory system to transport O2 to the muscles.
In 1923, Hill and Lupton (42) made careful measurements of oxygen consumption on a subject (A.V.H.) who ran around an 85-m grass track. The graph shown in Figure 1 was drawn primarily for the purpose of illustrating the change in V̇O2 over time at three speeds (181, 203, and 267 m·min−1). In a study published the following year, Hill et al. (41) reported more V̇O2 measurements on the same subject. After 2.5 min of running at 282 m·min−1, his V̇O2 reached a value of 4.080 L·min−1 (or 3.730 L·min−1 above that measured at standing rest). Since the V̇O2 at speeds of 259, 267, 271, and 282 m·min−1 did not increase beyond that measured at 243 m·min−1, this confirmed that at high speeds the V̇O2 reaches a maximum beyond which no effort can drive it.
Today, it is universally accepted that there is a physiological upper limit to the body’s ability to consume oxygen. This is best illustrated in the classic graph of Åstrand and Saltin (4) shown in Figure 2. In a discontinuous test protocol, repeated attempts to drive the oxygen uptake to higher values by increasing the work rate are ineffective. The rate of climb in V̇O2 increases with each successive attempt, but the “upper ceiling” reached in each case is about the same. The subject merely reaches V̇O2max sooner at high power outputs. V̇O2 does not continue to increase indefinitely with increases in work rate (or running speed). This finding was predicted by Hill and Lupton ((42), p. 156), who stated that eventually, “… however much the speed [or work rate] be increased beyond this limit, no further increase in oxygen intake can occur”.
Not all subjects show a plateau in V̇O2 at the end of a graded exercise test (GXT), when graphed against work intensity. It has repeatedly been shown that about 50% of subjects do not demonstrate a plateau when stressed to maximal effort (46). Failure to achieve a plateau does not mean that these subjects have failed to attain their “true” V̇O2max (26). In the first place, with a continuous GXT protocol a subject may fatigue just as V̇O2max is reached. Thus, the plateau may not be evident even though V̇O2max has been reached (69). Second, even with a discontinuous GXT protocol most researchers require that a subject complete 3–5 min at each stage (3,26,83). Thus, if a subject reaches V̇O2max in 2 min at a supramaximal intensity and then becomes too fatigued to continue, this data point would not be graphed. In this case, the V̇O2 plateau will not be apparent in the final graph of work rate versus oxygen uptake, even though V̇O2max has been attained (Fig. 3). For these reasons, the plateau in V̇O2 cannot be used as the sole criterion for achievement of V̇O2max. This is why it is recommended that secondary criteria be applied to verify a maximal effort. These include a respiratory exchange ratio>1.15 (47) and blood lactic acid level >8–9 mM (2), an approach that has been confirmed in our laboratory (26).
The V̇O2 plateau represents a leveling off in cardiac output and a-v̄ O2 difference that may be seen toward the end of a GXT. Since the V̇O2 fails to keep pace with the increasing oxygen demand, there is an increased reliance on oxygen-independent pathways (i.e., anaerobic glycolysis). The significance of the V̇O2 plateau has often been misinterpreted. In 1988, it was suggested that the absence of a V̇O2 plateau in some persons meant that V̇O2max was not limited by the cardiovascular system (61). This led to the suggestion that “muscle factors” must be important in limiting V̇O2max. However, as we pointed out, the V̇O2 plateau is not the principal evidence for a cardiovascular limitation (5). More recently, it has been suggested that the V̇O2 plateau signifies a leveling off in cardiac output, caused by progressive and irreversible myocardial ischemia (63). However, there is no evidence to support this view. In fact, a V̇O2 plateau occurs in about half of all healthy adults performing maximal exertion (46), without accompanying signs or symptoms of myocardial ischemia. A more reasonable explanation is that maximal cardiac output is limited by the maximal rate of depolarization of the sino-atrial (SA) node and the structural limits of the ventricle.
Regarding the variability in V̇O2max, Hill and Lupton ((42), p. 158) stated, “A man may fail to be a good runner by reason of a low oxygen uptake, a low maximal oxygen debt, or a high oxygen requirement.” This clearly shows that they recognized the presence of interindividual differences in V̇O2max. They did not believe in a universal V̇O2max of 4.0 L·min−1, as has been suggested (63). Furthermore, they recognized the importance of a high V̇O2max for elite performers (42). They also stated that other physiological factors, such as running economy, would influence the race outcome (42). Subsequent researchers have verified these points (see discussion in Part III).
The fourth point in the V̇O2max paradigm has been the most controversial. Hill et al. (41) identified several determinants of V̇O2max. Based on the limited data available to them, they speculated that in exercising man, V̇O2max is limited by the rate at which O2 can be supplied by the cardiorespiratory system (heart, lungs, and blood). Over the next 75 years, many distinguished exercise physiologists studied this problem using a wide array of new experimental techniques. They have arrived at a consensus that supports the original V̇O2max paradigm of Hill et al. (41). The prevailing view is that in the exercising human V̇O2max is limited primarily by the rate of oxygen delivery, not the ability of the muscles to take up oxygen from the blood (see part II).
PART II: LIMITING FACTORS FOR MAXIMUM OXYGEN UPTAKE
The pathway for O2 from the atmosphere to the mitochondria contains a series of steps, each of which could represent a potential impediment to O2 flux. Figure 4 shows the physiological factors that could limit V̇O2max: 1) the pulmonary diffusing capacity, 2) maximal cardiac output, 3) oxygen carrying capacity of the blood, and 4) skeletal muscle characteristics. The first three factors can be classified as “central” factors; the fourth is termed a “peripheral” factor. The evidence for each of these factors is discussed in the following sections.
The Pulmonary System
In the average individual exercising at sea level, the lungs perform their job of saturating the arterial blood with O2 extremely well. Even during maximal work, the arterial O2 saturation (%SaO2) remains around 95% (65). Hill et al. ((41) p. 161) predicted that a significant drop in arterial saturation (SaO2 < 75%) does not occur, based on the appearance of their subjects, “who have never, even in the severest exercise, shown any signs of cyanosis.” However, they cautioned against assuming that a complete alveolar-arterial equilibrium is present because of the rapidity of the passage of the red blood cells within the pulmonary capillary at high work rates ((42) p. 155).
Modern researchers have verified that the pulmonary system may indeed limit V̇O2max under certain circumstances. Dempsey et al. (25) showed that elite athletes are more likely to undergo arterial O2 desaturation during maximal work compared with normal individuals. Trained individuals have a much higher maximal cardiac output than untrained individuals (40 vs 25 L·min−1). This leads to a decreased transit time of the red blood cell in the pulmonary capillary. Consequently, there may not be enough time to saturate the blood with O2 before it exits the pulmonary capillary.
This pulmonary limitation in highly trained athletes can be overcome with O2-enriched air. Powers et al. (65) had highly trained subjects and normal subjects perform two V̇O2max tests (Fig. 5). In one test the subjects breathed room air and in the other they breathed a 26% O2 gas mixture. On hyperoxic gas, the highly trained group had an increase in V̇O2max from 70.1 to 74.7 mL·kg−1·min−1 and an increase in arterial O2 saturation (SaO2) from 90.6% to 95.9% during maximal work. None of these changes were observed in normal subjects (V̇O2max = 56.5 mL·kg−1·min−1).
Pulmonary limitations are evident in people exercising at moderately high altitudes (3,000–5,000 m) (22,31,53). Individuals with asthma and other types of chronic obstructive pulmonary disease (COPD) suffer from a similar problem (a reduction in arterial PO2). Under these conditions, exercise ability can be increased with supplemental O2, which increases the “driving force” for O2 diffusion into the blood (23,67). The ability to increase exercise capacity in this manner shows the presence of a pulmonary limitation.
Maximum Cardiac Output
Hill et al. (41,42) proposed that maximal cardiac output was the primary factor explaining individual differences in V̇O2max. This was a major insight given the state of knowledge in 1923. Einthoven had only discovered electrocardiography a decade earlier. Hill used this new technique to measure maximal heart rates of around 180 beats·min−1 ((41) p. 165). However, it was not until around 1930 that trained subjects were shown to have a lower heart rate at a fixed, submaximal work rate (11), providing evidence of increased stroke volumes. Other methods of showing enlarged hearts in endurance athletes (x-ray and ultrasound) did not become available until 1940–1950. Given the level of technology in 1923, it is incredible that Hill et al. (41,42) were able to deduce that endurance athletes have hearts with superior pumping capacities. How did they arrive at this remarkable conclusion? In 1915, Lindhard (55) had measured cardiac outputs of 20 L·min−1 in average subjects during exercise and demonstrated the strong, linear relationship between cardiac output and V̇O2. Hill and Lupton ((42), p. 154) speculated that maximal cardiac output values of 30–40 L·min−1 were possible in trained athletes. These speculations were based on knowledge of the Fick equation and assumed values for V̇O2max, arterial oxygen content, and mixed venous oxygen content.
Today, we know that the normal range of V̇O2max values (L·min−1) observed in sedentary and trained men and women of the same age is due principally to variation in maximal stroke volume, given that considerably less variation exists in maximal HR and systemic oxygen extraction. During maximum exercise, almost all of the available oxygen is extracted from blood perfusing the active muscles (76). The oxygen content of arterial blood is approximately 200 mL O2·L−1; in venous blood draining maximally working muscles it falls to about 20–30 mL O2·L−1. This shows that there is little oxygen left to be extracted out of the blood during heavy exercise. Hence, the dominant mechanism for the increase in V̇O2max with training must be an increase in blood flow (and O2 delivery). It is estimated that 70–85% of the limitation in V̇O2max is linked to maximal cardiac output (10).
Longitudinal studies have shown that the training-induced increase in V̇O2max results primarily from an increase in maximal cardiac output rather than a widening of the systemic a-v̄ O2 difference (Fig. 6). Saltin et al. (71) examined V̇O2max in sedentary individuals after 20 d of bed rest and 50 d of training. The difference in V̇O2max between the deconditioned and trained states resulted mostly from a difference in cardiac output. In a similar study, Ekblom et al. (27) found that 16 wk of physical training increased V̇O2max from 3.15 to 3.68 L·min−1. This improvement in V̇O2max resulted from an 8.0% increase in cardiac output (from 22.4 to 24.2 L·min−1) and a 3.6% increase in a-v̄ O2 difference (from 138 to 143 mL·L−1).
One way to acutely decrease the cardiac output is with beta-blockade. Tesch (84) has written an authoritative review of 24 studies detailing the cardiovascular responses to beta blockade. Beta-blockers can decrease maximal heart rate (HR) by 25–30%. In these studies, maximal cardiac output decreases by 15–20%, while stroke volume increases slightly. Although the decreased cardiac output is partially compensated for by an increase in a-v̄ O2 difference, V̇O2max declines by 5–15%. Tesch (84) concludes that the decline in V̇O2max seen with cardio-selective beta-blockade is caused by diminished blood flow and oxygen delivery.
Oxygen Carrying Capacity
Another method of altering the O2 transport to working muscles is by changing the hemoglobin (Hb) content of the blood (28). Blood doping is the practice of artificially increasing a person’s volume of total red blood cells through removal, storage, and subsequent reinfusion. Gledhill (35,36) completed comprehensive reviews of 15–20 studies that have examined the effects of blood doping. Reinfusion of 900–1,350 mL blood elevates the oxygen carrying capacity of the blood. This procedure has been shown to increase V̇O2max by 4–9% in well designed, double-blind studies (35,36) (Fig. 7). No improvement is seen in sham-treated individuals, infused with a small volume of saline (8). Once again, these studies provide evidence of a cause-and-effect link between O2 delivery and V̇O2max.
The evidence that V̇O2max is limited by the cardiac output, the oxygen carrying capacity, and in some cases the pulmonary system, is undeniable. This statement pertains to healthy subjects performing whole-body, dynamic exercise. Next we will consider whether skeletal muscle could also be a limiting factor for V̇O2max.
Skeletal Muscle Limitations
Peripheral diffusion gradients.
In a symposium on limiting factors for V̇O2max, Honig et al. (45) presented evidence for a peripheral O2 diffusion limitation in red canine muscle. According to their experiments and a mathematical model, the principal site of resistance to O2 diffusion occurs between the surface of the red blood cell and the sarcolemma. They report a large drop in PO2 over this short distance. Honig et al. (45) conclude that O2 delivery per se is not the limiting factor. They found that a low cell PO2 relative to blood PO2 is needed to maintain the driving force for diffusion and thus enhance O2 conductance.
The experimental model of Honig et al. (45) is quite different from that seen in an exercising human. They noted that simply increasing blood flow to isolated muscle is not sufficient to cause V̇O2 to increase. The isolated muscle must also undergo contractions so that the mitochondria consume O2 (drawing down the intracellular PO2). Without a peripheral diffusion gradient, oxygen uptake will not increase. Their overall conclusion is that V̇O2max is a distributed property, dependent on the interaction of O2 transport and mitochondrial O2 uptake (45). We agree with this conclusion. However, this model cannot determine which of these two factors limits V̇O2max in the intact human performing maximal exertion.
Mitochondrial enzyme levels.
Physiologists have done extensive work to examine whether mitochondrial enzyme levels are a limiting factor for V̇O2max. Within the muscle fibers, the mitochondria are the sites where O2 is consumed in the final step of the electron transport chain. In theory, doubling the number of mitochondria should double the number of sites for O2 uptake in muscle. However, human studies show that there is only a modest increase V̇O2max in (20–40%) despite a 2.2-fold increase in mitochondrial enzymes (72). This is consistent with the view that V̇O2max, measured during whole-body dynamic exercise, is limited by oxygen delivery (not muscle mitochondria).
Shephard (76) has asked, “If we reject the view that there is a significant limitation of oxygen transport at the tissue level, what alternative explanation can be offered to the teleologists to account for the doubling of tissue enzyme activity during endurance training?” In their landmark 1984 review paper, Holloszy and Coyle (44) propose an answer to this question. They argue that as a consequence of the increase in mitochondria, exercise at the same work rate elicits smaller disturbances in homeostasis in the trained muscles. Two metabolic effects of an increase in mitochondrial enzymes are that 1) muscles adapted to endurance exercise will oxidize fat at a higher rate (thus sparing muscle glycogen and blood glucose) and 2) there is decreased lactate production during exercise. These muscle adaptations are important in explaining the improvement in endurance performance that occurs with training. (This will be discussed further in Part III.)
The main effect of increasing mitochondrial enzymes is to improve endurance performance rather than to increase V̇O2max. Holloszy and Coyle (43,44) note that even in individuals with nearly identical V̇O2max values there can be a two-fold range in mitochondrial enzymes (1976). Furthermore, low-intensity training may elicit small changes in mitochondrial enzymes without any change in V̇O2max, and vice versa (38,52,64). On the other hand, there is some evidence that the increase in mitochondria play a permissive role in allowing V̇O2max to increase. Holloszy and Coyle (44) note that the lowest value for SDH activity in the elite runners studied by Costill (16) was still 2.5-fold greater than that found for untrained individuals in the same study. The increase in muscle mitochondria may allow a slightly greater extraction of O2 from the blood by the working muscles, thus contributing in a minor way to an increased V̇O2max (44).
In 1977 Andersen and Henriksson (1) showed that capillary density increases with training. Other studies noted a strong relationship between the number of capillaries per fiber in the vastus lateralis and V̇O2max (mL·kg−1·min−1) measured during cycle ergometery (72). The main significance of the training-induced increase in capillary density is not to accommodate blood flow but rather to maintain or elongate mean transit time (70). This enhances oxygen delivery by maintaining oxygen extraction (a-v̄ O2 difference) even at high rates of muscle blood flow. The ability of skeletal muscle to adapt to training in this way is far greater than what is observed in the lung (24).
Central or Peripheral Limitation?
The issue of central versus peripheral factors limiting V̇O2max has been a long-standing debate. Work conducted in the early 1970s supported the idea of central factors being limiting for V̇O2max. Clausen et al. (12) showed that two-legged bicycle training resulted in an increase in arm V̇O2max. They correctly interpreted this as evidence of a central cardiovascular training effect.
In 1976 Saltin et al. (73) examined the effects of one-legged cycle training on the increase in V̇O2max in a trained leg, a control leg, and 2-legged bicycling. The trained leg had a 23% increase compared with a 7% increase in V̇O2max in the control leg (Fig. 8). The disparity between legs was attributed to peripheral adaptations occurring within the trained skeletal muscle. The authors concluded that peripheral factors were dominant in limiting V̇O2max. This study was conducted during the 1970s as new discoveries about fiber type, capillary density, and oxidative enzyme activities in athletes were being made. At that time, the investigators thought that these changes were essential for increasing V̇O2max (73).
However, in 1985 Saltin et al. (70) performed the definitive experiment showing that V̇O2max is limited by blood flow. They observed what happens when a subject does maximal exercise using only a small muscle mass (i.e., knee extensions with only one leg). This allowed a greater proportion of cardiac output to be directed to an isolated area. Under these conditions, the highest O2 uptake in an isolated quadriceps muscle group was 2–3 times higher than that measured in the same muscle group during a whole-body maximum effort. They concluded that skeletal muscle has a tremendous capacity for increasing blood flow and V̇O2 (70), which far exceeds the pumping capacity of the heart during maximal whole-body exercise. This experiment proved that V̇O2max is constrained by oxygen delivery and not by the mitochondria’s ability to consume oxygen.
How can we reconcile the results of the two experiments by Saltin et al. (70,73)? In the earlier study, they measured V̇O2max during one-legged cycling. However, it must be remembered that maximal cardiac output is not the dominant factor limiting V̇O2max in exercise with an isolated muscle group (i.e., one-legged cycling) (66). Whole-body V̇O2max is primarily limited by cardiac output, while for exercise with small muscle groups the role of cardiac output is considerably less important (10). Since the 1976 conclusion about peripheral limitations does not apply to V̇O2max measured in severe whole-body exercise, the later conclusion does not conflict with their earlier work. The current belief is that maximal cardiac output is the principal limiting factor for V̇O2max during bicycling or running tests (66).
Comparative Physiology and Maximum Oxygen Uptake
Taylor et al. (79,80,82) and Weibel (87) have studied the physiological factors limiting V̇O2max from a different perspective. They examined different animal species to see what physiological factors explain the superior V̇O2max of the more athletic ones. These studies in comparative physiology provide a way to test the concept of “symmorphosis” which hypothesizes that animals are built in a reasonable manner. Their underlying assumption is that all parts of the pathway for O2 (from atmosphere to mitochondria) are matched to the functional capacity of the organism. If any one system involved in the O2 pathway were overbuilt, then there would be a redundancy that would be wasteful, from an energetic standpoint.
The first series of experiments compared mammalian species of similar size, but with a 2.5-fold difference in V̇O2max (dog vs goat, racehorse vs steer) (49,81). This is referred to as “adaptive variation” (adaptation was defined in the evolutionary sense, as the end-result of natural selection). The high V̇O2max values in the more athletic species were accompanied by a 2.2-fold increase in stroke volume, nearly identical maximal heart rate, and a large increase in mitochondria (49,81). In general, these adaptive pairs show similar physiological differences as observed when trained and untrained humans are compared (Table 1).
A second series of experiments examined a variety of animal species ranging in size from a few grams to 250 kg (79). The difference in V̇O2max seen in animals of varying body mass (Mb) is termed “allometric variation.” V̇O2max values (L·min−1) increase with body mass to the power of 0.81. However, when adjusted for body mass, small animals have V̇O2max/Mb values that are 8–10 times higher than large animals (Fig. 9). Across a wide range of animal species, there is a very close match between mitochondrial density and V̇O2max/Mb (80). The smaller species have an abundance of mitochondria, so that the capacity of the muscles to consume oxygen is enhanced. It would be impossible for the smaller species to achieve such incredibly high metabolic rates (200 to 260 mL·kg−1·min−1) without an increase in mitochondrial density. Thus, it can be said that the muscles “set the demand for O2 ” (80).
The more athletic animals also have an increase in the size of the structures involved in supplying O2 to the working muscles. Lung size and function are scaled in proportion to V̇O2max. In addition, the heart’s pumping capacity is tightly coupled to V̇O2max. In adaptive variation (animals of same size), the more athletic animals achieve this by an increase in heart size (80). In allometric variation, small animals achieve an increase in O2 transport with a higher maximal heart rate (1300 beats·min−1 in the shrew) ((87), p. 400). The general conclusion of these studies is that the principle of symmorphosis is upheld (80). The structures involved in the O2 pathway are scaled in proportion to V̇O2max, meaning that animals are built in a reasonable manner (88).
However, there are exceptions where one sees redundancies at various levels in the pathway for O2. For example, the mitochondria’s ability to consume O2 exceeds the ability of the cardiorespiratory system to supply it (80). To illustrate this point, in maximally exercising animals the mitochondria have a fixed respiratory capacity, with an invariant value of 4–5 mL O2·mL−1 of mitochondria per minute across species (80). However, the respiratory capacity of isolated mitochondria has been measured at 5.8 mL O2·mL−1 of mitochondria per minute (75). Using these values, Taylor and Weibel (80) conclude that animals are able to exploit 60–80% of the in vitro oxidative capacity when they exercise at V̇O2max. The reason that mitochondria cannot fully exploit their oxidative ability is a result of the limitation on O2 delivery imposed by the central cardiovascular system.
Reaching Consensus on Limiting Factors for Maximum Oxygen Uptake
Physiologists have often asked, “What is the limiting factor for V̇O2max?” The answer depends on the definition of a limiting factor and the experimental model used to address the problem (R.B. Armstrong, personal communication, February, 1999). If one talks about the intact human being performing maximal, whole-body exercise, then the cardiorespiratory system is the limiting factor (36,74,84). If one discusses the factors that limit the increase in V̇O2 in an isolated dog hindlimb, then the peripheral diffusion gradient is limiting (45). If one talks about the factors that explain the difference in V̇O2max across species, mitochondrial content and O2 transport capacity are both important (80).
Wagner, Hoppeler, and Saltin (86) have succeeded in reconciling the different viewpoints on factors limiting V̇O2max. They conclude that while V̇O2max is broadly related to mitochondrial volume across a range of species, in any individual case V̇O2max is determined by the O2 supply to muscle. They state that in humans “… the catabolic capacity of the myosin ATPase is such that it outstrips by far the capacity of the respiratory system to deliver energy aerobically. Thus, V̇O2max must be determined by the capability to deliver O2 to muscle mitochondria via the O2 transport system, rather than by the properties of the muscle’s contractile machinery (86).”
Wagner, Hoppeler, and Saltin (86) maintain that there is no single limiting factor to V̇O2max. They conclude that “… each and every step in the O2 pathway contributes in an integrated way to determining V̇O2max, and a reduction in the transport capacity of any of the steps will predictably reduce V̇O2max (85,86).” For instance, a reduction in the inspired PO2 at altitude will result in a decreased V̇O2max (22,31,53). A reduced hemoglobin level in anemia will result in a decreased V̇O2max (36,78). A reduction in cardiac output with cardioselective beta-blockade will result in a decreased V̇O2max (84). There are also instances where substrate supply (not O2) is the limiting factor. For example, metabolic defects in skeletal muscle, such as McArdle’s disease (phosphorylase deficiency) or phospho-fructokinase deficiency, will result in a decreased V̇O2max (54).
In the field of exercise physiology, when limiting factors for V̇O2max are discussed, it is usually with reference to human subjects, without metabolic disease, undergoing maximal whole-body exercise, at sea level. Under these conditions, the evidence clearly shows that it is mainly the ability of the cardiorespiratory system (i.e., heart, lungs, and blood) to transport O2 to the muscles, not the ability of muscle mitochondria to consume O2, that limits V̇O2max . We conclude that there is widespread agreement with regard to the factors limiting V̇O2max, and that this agreement is based on sound scientific evidence. In general, the 75 years of subsequent research have provided strong support for the brilliant insights of Hill et al. (41,42).
PART III: DETERMINANTS OF ENDURANCE PERFORMANCE
A first principle in exercise physiology is that work requires energy, and to maintain a specific work rate or running velocity over a long distance, ATP must be supplied to the cross bridges as fast as it is used. As the duration of an all-out performance increases there is greater reliance on ATP production via oxidative phosphorylation to maintain cross bridge cycling. Consequently, the rate at which oxygen is used during prolonged submaximal exercise is a measure of the rate at which ATP is generated. In our previous paper (5) we summarized the conventional understanding of how oxygen uptake is linked to endurance running performance. A variety of criticisms were directed at our attempt, ranging from suggestions that correlation data were being used to establish “cause and effect,” to concerns that our model was not adequately explained (63). In the following paragraphs we will summarize the physiological model linking oxygen uptake with performance in distance running.
Figure 10 shows that the V̇O2 maintained during an endurance run (called the “performance V̇O2 ” by Coyle (19)) is equal to the product of the runner’s V̇O2max and the percent of V̇O2max that can be maintained during the performance. The percent of V̇O2max is related to the V̇O2 measured at the lactate threshold (LT), so that for endurance events the performance V̇O2 is closely linked to the V̇O2 at the LT. The V̇O2max is limited primarily by central cardiovascular factors (see Part II above), while the percent of V̇O2max that can be maintained is linked primarily to adaptations in muscles resulting from prolonged training (44). The actual running velocity realized by this rate of oxidative ATP generation (the performance V̇O2) is determined by the individual’s ability to translate energy (e.g., running economy) into performance (19,20). We will again summarize the role of each of these variables in distance running performance.
Role of Maximum Oxygen Uptake in Running Performance
Previously we stated that “V̇O2max sets the upper limit for performance in endurance events” (5), not that it is “the best predictor of athletic ability” ((63), p. 1381). Data of Costill et al. (17) were presented to show an inverse correlation (r = −0.91) between V̇O2max and time in a 10-mile run. These investigators used subjects with a wide range of V̇O2max values (54.8 to 81.6 mL·kg−1·min−1) to examine this relationship. This was an appropriate research design to see whether a correlation existed between these two variables in that such a relationship must be evaluated over an appropriate range of values. If one were to narrow the range of values over which this relationship was examined, the correlation coefficient would approach zero as the range of values approaches zero. Consequently, we acknowledged the fact that V̇O2max was not a good predictor of performance in runners with similar V̇O2max values ((5) p. 598). If Costill et al. (17) had found the correlation between V̇O2max and time in a 10-mile run in this diverse group of runners to be r = −0.09 rather than r = −0.91, there would have been little debate. We are in agreement that a high correlation does not imply “cause and effect;” however, to simply dismiss a high correlation between two variables having high construct validity might result in an investigator missing an important point.
V̇O2max is directly linked to the rate of ATP generation that can be maintained during a distance race, even though distance races are not run at 100% V̇O2max. The rate of ATP generation is dependent on the V̇O2 (mL·kg−1·min−1) that can be maintained during the run, which is determined by the subject’s V̇O2max and the percent of V̇O2max at which the subject can perform (Fig. 10). For example to complete a 2:15 marathon, a V̇O2 of about 60 mL·kg−1·min−1 must be maintained throughout the run. Consequently, even if a marathon could be run at 100% V̇O2max, the runner would need a V̇O2max of 60 mL·kg−1·min−1 for the above performance. However, since the marathon is typically run at about 80–85% of V̇O2max, the V̇O2max values needed for that performance would be 70.5–75 mL·kg−1·min−1. In this way V̇O2max sets the upper limit for energy production in endurance events but does not determine the final performance. As we stated in the previous article (5) there is no question that runners vary in running economy as well as in the percent of V̇O2max that can be maintained in a run; both have a dramatic impact on the speed that can be maintained in an endurance race. These will be discussed in the following paragraphs.
Mechanical efficiency is the ratio of work done to energy expended. The term “running economy” is used to express the oxygen uptake needed to run at a given velocity. This can be shown by plotting oxygen uptake (mL·kg−1·min−1) versus running velocity (m·min−1) or by simply expressing economy as the energy required per unit mass to cover a horizontal distance (mL O2·kg−1·km−1). In our previous paper we showed that running economy explains some of the variability in distance running performance in subjects with similar V̇O2max values (5). Data from Conley and Krahenbuhl (14) were used to show a relatively strong correlation (r = 0.82) between running economy and performance in a 10-km run in a group of runners with similar V̇O2max values but with a range of 10-km times of 30.5–33.5 min. As was pointed out in the rebuttal (63), when one examines the fastest four runners (10 km in 30.5–31 min) there was considerable variability in the economy of running (45–49 mL·kg−1·min−1 at 268 m·min−1), suggesting a lack of association between the variables. As mentioned above, this is to be expected. A correlation coefficient will approach zero as the range of values for one of the variables (in this case, performance times ranging from 30.5 to 31 min) approaches zero. There is little point in looking at a correlation unless the range of values is sufficient to determine whether a relationship exists.
There is a linear relationship between submaximal running velocity and V̇O2 (mL·kg−1·min−1) for each individual. However, there is considerable variation among individuals in how much oxygen it costs to run at a given speed, that is, running economy (6,59). Figure 11 shows a bar graph of the variation in running economy (expressed in mL·kg−1·km−1) among groups that differ in running ability (59). The group of elite runners had a better running economy than the other groups of runners, and all running groups were better than the group of untrained subjects. However, one of the most revealing aspects of this study was the within-group variation; there was a 20% difference between the least and most economical runner in any group (59).
One of the best descriptions of how V̇O2max and running economy interact to affect running velocity was provided by Daniels (20) in his description of “velocity at V̇O2max” (vV̇O2max). Figure 12 shows a plot of male and female runners equal in terms of V̇O2max, but differing in running economy (21). A line was drawn through the series of points used to construct an economy-of-running line, and was extrapolated to the subject’s V̇O2max. A perpendicular line was then drawn from the V̇O2max value to the x-axis to estimate the velocity that subject would have achieved at V̇O2max. This is an estimate of the maximal speed that can be maintained by oxidative phosphorylation. In this example, the difference in running economy resulted in a clear difference in the speed that could be achieved if that race were run at V̇O2max. In like manner, Figure 13 shows the impact that a difference in V̇O2max has on the vV̇O2max in groups with similar running economy values. The 14% difference in V̇O2max resulted in a 14% difference in the vV̇O2max. Consequently, it is clear that both V̇O2max and running economy interact to set the upper limit of running velocity that can be maintained by oxidative phosphorylation. However, since distance races are not run at V̇O2max, the ability of the athlete to run at a high percentage of V̇O2max has a significant impact on running performance (17).
Percent of Maximum Oxygen Uptake
Figure 14, from the classic Textbook of Work Physiology by Åstrand and Rodahl (3) characterizes the impact that training has on one’s ability to maintain a certain percentage of V̇O2max during prolonged exercise. Trained individuals functioned at 87% and 83% of V̇O2max for 1 and 2 h, respectively, compared with only 50% and 35% of V̇O2max for the untrained subjects. This figure shows clearly the impact that the % V̇O2max has on the actual (performance) V̇O2 that a person can maintain during an endurance performance. In addition, Figure 15, taken from the same text, shows how V̇O2max and the % V̇O2max change over months of training. V̇O2max increases during the first 2 months and levels off, while the % V̇O2max continues to change over time. Consequently, while changes in both V̇O2max and the % V̇O2max impact changes in the performance of a subject early in a training program, subsequent changes in the performance V̇O2 are caused by changes in the % V̇O2max alone. This classic figure is supported by later work showing that the V̇O2 at the LT (%V̇O2max at the LT) increases much more as a result of training than does V̇O2max (see review in (89) p. 59).
The Lactate Threshold and Endurance Performance
The model presented earlier in Figure 10 showed how V̇O2max and % V̇O2max interact to determine the performance V̇O2 and how running economy shapes the final performance. In this model the V̇O2 at the LT integrates both V̇O2max and the % V̇O2max. In our previous paper (5) we used a more detailed model to show that running velocity at the LT integrates all three variables mentioned earlier (the V̇O2max, the %V̇O2max, and running economy) to predict distance running performance. We will now use that same model (Fig. 16) to expand our discussion with a focus on the lactate threshold.
To determine a lactate threshold, a subject completes a series of tests at increasing running speeds, and after each test a blood sample is taken for lactate analysis. The speed at which the lactate concentration changes in some way (e.g., to an absolute concentration, a break in the curve, a delta amount) is taken as the speed at the LT and is used as the predictor of performance. Numerous studies have shown the various indicators of the LT to be good predictors of performance in a variety of endurance activities (e.g., running, cycling, race walking) and for both trained and untrained populations ((89) p. 49). In most of these studies the association between the LT and endurance performance was evaluated in groups of athletes that were heterogeneous relative to performance. As discussed earlier, this is an appropriate design to see whether a relationship (correlation) exists between the variables. On the other hand, if one were to narrow the range of performances (or the LT) over which this relationship were examined, one would expect the correlation to be markedly reduced. This means that even though the speed at the LT explains the vast majority of the variance in performance in distance races (30) other factors can still influence the final performance. If any model could explain all of the variance in performance, gold medals would be handed out in the lab!
The classical model that has been passed down to us revolves around the proposition that the ability to maintain a high running speed is linked to the ability to maintain a high rate of oxidative ATP production. Both logic and empirical data provide support for that proposition; to argue otherwise would suggest that “oxygen independent” (anaerobic) sources of ATP are important in such performances—a clear impossibility given the small amount of potential energy available via those processes.
It has been known for some time (43,44) that lactate production is related to a number of variables, including the mitochondrial content of muscle, as measured by mitochondrial enzyme activity. Variations in the LT across diverse groups of endurance athletes and improvements in the LT resulting from training are linked to differences and increases in mitochondrial enzyme activity, respectively ((19), (89), p. 49–59). An explanation for this connection was provided by Holloszy and Coyle in 1984 (44). When muscles contract to meet a specific submaximal power output, ATP is converted to ADP and Pi to power the cross bridges, and the latter two, in turn, drive metabolic reactions in the cell to meet the ATP demand associated with that work rate. In a muscle cell with relatively few mitochondria the ADP concentration must rise to a high level to drive the limited number of mitochondria to meet the ATP demand via oxidative phosphorylation. This high concentration of ADP also drives other metabolic pathways, including glycolysis, because of the stimulatory effect of ADP on phosphofructose kinase (PFK). This results in a greater rate of carbohydrate turnover, an accumulation of pyruvate and NADH in the cytoplasm of the muscle fiber, and an increase in lactate production (44,50). Following training there is a large (50–100%) increase in the number of mitochondria in the muscles involved in the activity. Consequently, at the same work rate the oxygen uptake is shared by a greater number of mitochondria, and the ADP concentration does not have to rise to the same level as before training to achieve the same rate of oxidative phosphorylation (V̇O2) after training. The lower level of ADP after training results in less stimulation of PFK and a reduction in carbohydrate turnover, and the greater number of mitochondria increases the capacity to use fat as a fuel. The result is less lactate formation (44).
As we mentioned throughout this section, the relationships between V̇O2max and performance (15), running economy and performance (14), and % V̇O2max and performance (30) used groups with large variations in the independent variables. As one reduces the range of each of these variables, the correlations are reduced in magnitude or eliminated, suggesting that other variables also influence performance. Instead of dismissing the relationships as having little worth, investigators have used these observations as motivation to examine other factors that might be related to endurance performance. An excellent example of taking the next step is found in an experiment by Coyle et al. (18).
Coyle et al. (18) studied 14 trained cyclists (3–12 yr of training) who were similar in terms of V̇O2max (thus eliminating that as a variable) to examine the relationship between the LT and time to fatigue at 88% V̇O2max. Subjects were divided into high-LT (mean = 81.5% V̇O2max ) and low-LT (mean = 65.8% V̇O2max) groups. The performance test at 88% V̇O2max resulted in large differences in performance (60.8 vs 29.1 min), and the postexercise lactate concentration (7.4 vs 14.7 mM) for the high-LT and low-LT groups, respectively. The difference in performance between these groups that had the same V̇O2max, but differed in the % V̇O2max at the LT, was consistent with the model described above. On the other hand, the fact that the vastus lateralis of both groups had the same mitochondrial enzyme activities suggested a break in the chain of evidence linking the % V̇O2max at the LT and mitochondrial activity. This created a rare opportunity for the investigators to study two groups with the same V̇O2max and the same mitochondrial enzyme activity but with substantial differences in performance. The investigators examined the metabolic response of the cyclists to a 30-min test at 79% V̇O2max. They found that while the low-LT group used 69% more carbohydrate during this exercise bout than the high-LT group, the low-LT group reduced its vastus lateralis muscle glycogen concentration 134% more than the high-LT group. This difference in muscle glycogen depletion (relative to total carbohydrate oxidation) suggested that the high-LT group was able to distribute the same work rate (and V̇O2) over a larger muscle mass, resulting in less loading on the muscle fibers recruited to do the work. Use of a larger muscle mass also increased the mass of mitochondria sharing in the production of ATP by oxidative phosphorylation ((18,19) and (87) p. 131). Consequently, the study of Coyle et al. (18) indicates that the mass of muscle involved in the activity (in addition to mitochondrial density) contributes to the % V̇O2max at the LT (as well as performance), in a manner consistent with the above model.
LT, THE CLASSICAL MODEL, AND ENVIRONMENTAL FACTORS
Noakes has asked, “… why should prolonged endurance exercise in which the oxygen consumption is not maximal and therefore not limiting be determined by the oxygen delivery to the active muscle?” ((63) p. 1393). This is a good question because a marathon runner can certainly run at faster speeds and higher V̇O2 values over shorter distances—but not without some metabolic consequences. During submaximal exercise, oxygen delivery to muscle is closely tied to the mitochondrial oxygen demand which is driven by the cellular charge (i.e., [ADP + Pi]) provided by the exercise. As mentioned earlier, this same cellular charge also drives other metabolic pathways, notably, glycolysis. If a marathoner chose to run at a speed above the LT, the increased cellular charge needed to drive the V̇O2 to the higher level would also speed up glycolysis. This would deplete the limited carbohydrate store at a faster rate; the resulting increase in blood lactate accumulation would be caused by both an increase in lactate formation and a decrease in lactate removal (7,50). Given the obligatory need for carbohydrate at high exercise intensities (13) and the negative impact of hydrogen ion accumulation on muscle function (29,56,57,60), neither of these changes are consistent with being able to maintain the faster pace over a marathon distance.
In this and our previous paper (5) we attempted to explain how the variables of V̇O2max, the percentage of V̇O2max, and running economy can account for the vast majority of the variance in distance running performances (30,89). In addition, the model also accounts for the impact of certain environmental factors on endurance performance. Acute exposure to moderate altitude results in a decrease in arterial oxygen saturation and V̇O2max (22,53). Consequently, the “performance V̇O2” is decreased even though runners can still perform at a similar percentage of V̇O2max, and performance in endurance events is adversely affected (22,31). Historically, this effect of a lower PO2 causing a shift in the LT was interpreted as an “oxygen lack” at the muscle. However, it is now recognized that the lower PO2 results in a higher cellular charge to achieve the same steady state V̇O2 at a fixed submaximal work rate (50). These circumstances will result in a higher rate of glycolysis, an accumulation of NADH+, and an increase in lactate production.
Performance times in the marathon are adversely affected by high environmental temperatures, with race times being optimal at a temperature of 12–13°C (34), and a decrement of 40 s expected for every 1°C rise in temperature (33). Exercise in the heat increases the rate of carbohydrate oxidation, leading to a faster rate of muscle glycogen depletion and higher blood lactate concentrations during prolonged work (32). Consequently, changes in metabolism resulting from acute exposure to heat or altitude are associated with a decrease in endurance performance, consistent with the model.
In summary, the “classical” model of V̇O2max passed down by Hill et al. (41,42) has been modified and expanded upon by numerous investigators. We now have a much more complete understanding of the determinants of endurance performance than did exercise scientists from the 1920s. In hindsight, Hill et al. (41,42) were wrong about some of the details, such as the notion of a strict 1:1 ratio of O2 deficit:O2 debt. However, Hill deserves recognition for his major role in the discovery of nonoxidative pathways in isolated frog muscle and the application of this discovery to the exercising human (9,51). Hill’s work shaped the emerging discipline of Exercise Physiology (37,48), and his ideas continue to be influential even to this day.
Hill welcomed challenges to his theories and urged others to critically analyze scientific beliefs ((40) p. 363). It is clear that he viewed errors in interpretation and scientific debate over the merits of competing theories to be a necessary part of progress ((51) p. 82). In Trails and Trials in Physiology, Hill stated that, “Knowledge advances by continual action and reaction between hypothesis on the one hand and observation, calculation, and experiment on the other ((40), p. 361).” In contrast to the view that the classical theory represents an “ugly and creaking edifice” (62), we have arrived at a very different point of view. Our conclusion is that Hill’s theories have served as an ideal theoretical framework. The work that has built upon this framework has allowed exercise scientists to learn much about the physiological factors governing athletic performance.
Support was provided by the University of Tennessee, Knoxville, Exhibit, Performance, and Publication Expense (EPPE) Fund.
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