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Der Wirkungsgrad von Training
STANDARD
The Efficiency of Muscular Exercise

The Efficiency of Muscular Exercise

Der Wirkungsgrad von Muskelarbeit

Summary

The efficiency η of energy conversion is defined astheratio between muscular power and metabolic energy expenditure. Following definitions are used: ηgross(muscular power/total energy expenditure), ηnet (muscular power/(total energy expenditure–resting energy expenditure)), ηwork (muscular power/(total energy expenditure–idling energy expenditure)), ηdelta (∆muscular power/∆energy expenditure). ηnet of isolated muscles amounts to 30%. Because of supporting functions, lower values result in vivo during positive exercise. During negative exercise the body often storesenergy (elastic, potential, kinetic) which markedly improves η if reused.
Measurements are performed using ergometers (cycle ergometers, treadmill etc.) and indirect calorimetry (VO2 and VCO2). Determination of both gases is essential, because varying proportions of fat and carbohydrate oxidation influence energy turnover. For intense exercise,the anaerobic energy yield is calculated from oxygen deficit or blood lactate. Measurements have to be standardized, because movement frequency and power influence η. For comparisons ηnet, which little depends on power is preferable.
During sports, values vary between 1% (arching) and 50%(running). Measurement of energy expenditure per m distance and kg of body mass is also applicable for efficiency estimation. The efficiency of complex movements can be improved by practicing,sinceoptimized coordination reduces energy need. Aging and fatigue are therefore also influential. The mitochondrial function is probably not trainable. Clear sex differences have not been observed. An improvement of efficiency in hypoxia is improbable; a relative increase of carbohydrate metabolism reduces the need for oxygen. An increase of efficiency by nitrate consumption is under discussion.

KEY WORDS: Energy Expenditure, Ergometry, Respiratory Quotient, Physical Training, Altitude, Nitrogen Monoxide

Zusammenfassung

Als Wirkungsgrad η einer Energieumwandlung bezeichnet man in der Sportphysiologie das Verhältnis zwischen mechanischer Muskelleistung und metabolischem Energieumsatz. Man unterscheidet ηbrutto (Leistung/Gesamtenergieumsatz), ηnetto (Leistung/(Gesamtenergieumsatz–Ruheumsatz)), ηArbeit (Leistung/(Gesamtenergieumsatz–Umsatz bei Leerbewegung)), ηdelta (∆Leistung/∆Energieumsatz). ηnetto des isolierten Muskels beträgt 30%. Aufgrund zusätzlichen Energieaufwandes für andere Zell- und Körperfunktionen erhält man in vivo bei positiver aerober Arbeit niedrigere Werte. Bei negativer Arbeit speichert der Körper oft Energie (elastisch, potentiell, kinetisch), die bei Wiederverwertung den Wirkungsgrad erhöht.
Die Messung erfolgt mittels Ergometern (Drehkurbelergometer, Laufband u. a.) und indirekter Kalorimetrie (VO2 und VCO2). Wichtig ist die Bestimmung beider Gase, da wechselnde Anteile von Fett- und Kohlenhydratoxidation den Energieumsatz beeinflussen. Bei Intensivbelastung wird die anaerobe Energielieferung aus Sauerstoffdefizit oder Blutlaktatkonzentration ermittelt. Die Messungen müssen standardisiert sein, da Bewegungsfrequenz und Leistungshöhe η beeinflussen. Für Vergleiche eignet sich besonders ηnetto, der wenig von der Leistung abhängt.
In der Sportpraxisliegen die Werte zwischen 1 (Bogenschießen) und 50% (Laufen). Die Messung des Energieumsatzes je m Weg und kg Körpermasse ist ein praktikables Verfahren zur Wirkungsgradabschätzung. Der Wirkungsgrad komplexer Bewegungen kann durch Übung verbessert werden, weil wegen Koordinationsoptimierung Energie gespart wird. Alter und Ermüdung haben deshalb auch Einfluss. Dagegen scheint die mitochondriale Energielieferung nicht trainierbar zu sein. Eindeutige Geschlechtsunterschiede wurden nicht gefunden. Eine Verbesserung des Wirkungsgrades durch Hypoxie ist unwahrscheinlich, VO2 sinkt durch eine relative Zunahme des Kohlenhydratumsatzes. Eine Verbesserung des Wirkungsgrades durch Nitratgabe ist umstritten.

SCHLÜSSELWÖRTER: Energieumsatz, Ergometrie, Respiratorischer Quotient, Training, Höhe, Stickstoffmonoxid

Introduction

The relation between muscular exercise and metabolic energy expenditure is a central topic of physiology which has been intensely investigated during the last century (reviews of older publications in (7, 27, 85)). The efficiency ηof an energy transformation is defined as the relation of the exploited energy to the consumed chemical energy, usually in form of a decimal fraction or as percentage. In exercise physiology this corresponds to the relation between muscular exercise and energy from decomposition of nutrients or correspondingly between mechanical power and metabolic energy expenditure (85). Therefore efficiency is one decisive factor for success in many sport disciplines.

The following definitions are used (27):
- Gross efficiency (ηgross): power/total energy expenditure
- Net efficiency (ηnet): power/(total energy expenditure – resting energy expenditure)
- Work efficiency (ηwork): power/(total energy expenditure – idling energy expenditure)
- Delta efficiency (ηdelta): ∆power/∆energy expenditure (difference between work rates or slope of the corresponding curve)

Efficiency in the Isolated Muscle
Net efficiency in the isolated muscle is the mathematical product of two components (54, 120):
1. Metabolic efficiency (ATP-synthesis/energy liberation from decomposition of nutritients;”phosphorylative coupling“)
2. Mechanic efficiency (contractile exercise/energy liberation during ATP-splitting; ”mechanical coupling“)

Brooks (27) suggests the following values:
0.6 (phosphorylative coupling η) x 0.5 (mechanical coupling η=0.3 (overall η)

Because of the additional cost for other cellular functions (e.g. ion pumps), friction as well as supporting functions (nervous system, circulation-ventilation, stabilizing muscles, heat dissipation etc.), η in the whole organism must be smaller. Muscular exercise of supporting activities, e.g. of the heart, is not added to the numerator.
According to Hill (64), ηgrossis maximal in isolated muscles (frog, 0°) at approximately 45% of the isometric maximal force, while maximal power is measured at 30%. In slow and fast human muscle fibres the maximum of ηgrossis similar in vitro, but is reached at higher velocities for the latter (61). Similarly, Kohler und Bouteillier (72) calculated that the maximum of ηis scarcely influenced by the fibre types in a muscle. Apparently contrasting results during ergometry (40, 115) probably result from the fact that only one pedalling frequency was tested (60 or 80/min). A further argument against a difference is also that the metabolic efficiency for aerobic and anaerobic glucose degradation is equal (27). In animal experiments, lower ηfor rapid fibres were frequently calculated (review in (7)), but not if recovery metabolism after exercise is considered (8).

Types of Contraction
The type of contraction is very influential (Force-Length-Diagram, Fig. 1). During a concentric contraction, the muscle delivers exercise (positive, the sign is positive in contrast to the use in physics, because it was originally related to the energy content of the body mounting a stair (85)), ηis positive. During an eccentric contraction the muscle takes up energy (negative), ηis negative as well. During an isometric contraction the muscle does not deliver exercise (η=0), the inner structures, however, are partly shortened (sarcomeres) and partly distended (tendons), exercise is elastically stored. The contraction is partly concentric and partly isometric when the muscle fibres are oblique to the direction of the tendons.

Special Aspects of Negative Exercise
Part of the imported energy is lost as friction heat, part is stored in elastic structures, e.g. titin, sarcolemma, connective tissue (79, 102). Active braking (visible in the electromyogram, e.g. (97)) needs the formation of actin-myosin-bridges. However, during negative exercise, no or only little ATP is split in contrast to during positive exercise. The following hypotheses have been proposed: cleavage of the actin-myosin-connection not by adding of ATP, but mechanically by the distending force (34); only 1 ATP for 2 actin-myosin-bridges (28); enlarged elasticity of titin after binding of Ca++and actin (62, 93), resynthesis of ATP by reversion of the ATPase-effect of actomyosin. The latter hypothesis was proposed by Hill (65), because the sum of elastically-stored exercise and of heat was smaller than the added distension exercise. Ulbrich and Rüegg (117) assumed the synthesis of actomyosin-ADP as energy-rich intermediate product. The problem has not yet been solved (7, 80). In any case, the storage of negative exercise is a decisive factor for the magnitude of efficiency.

Efficiency during Exercise in Humans – Basics

For the determination of efficiency, mechanical exercise and the energy liberated by metabolism have to be measured (review of methods e.g. in (106)).

Measurement of Power
The mechanical power (work/time, unit watt) is mostly determined by the use of ergometers (e.g. cycle ergometer, treadmill). Here, however, only the work delivered to the ergometer is determined, except losses by nontangential force vectors on the pedals. Work for the movement of the center of mass, accompanying movements and stabilisation of body parts is not measured. Body posture and position on the seat exert little influence on ηbrutto(76).
The following is valid for cycle ergometers:
power=braking force x way of 1 revolution x rotation frequency

The relation between the rotation frequency of the braked wheel and the pedal frequency is determined by the gear ratio.
There is nearly no negative exercise but the friction in the ergometer during idling (moving the pedals without braking force) has to be considered. This is programed in electricallybraked ergometers.
On the treadmill, the calculation of work and ηwithout additional biomechanical measurements or tethered movement is only possible with slope (Fig. 2):
work=mass x height=mass x distance x sin α
power=mass x velocity x sin α

Without slope, external exercise is apparently zero but the center of mass moves (potential and kinetic energy). This partly elastically-stored energy serves to overcome friction on the ground, in the air and within the body.

Discipline-Specific Ergometry
If bicycles or wheelchairs are put on a treadmill and connected to a strain gauge, it is possible to measure the ground friction when idling; use of a fan allows determining air friction as part of power. It is also possible to extrapolate the power necessary against the resistances from tethered movement with varying weights. Alternatively force and rotation frequency can be measured by strain gauges and revolution counters on the bicycle.
Discipline-specific ergometers have been developed for cross-country skiing (71) and rowing, in the latter the influence of boat movements is simulated by various constructions (wind wheel, water wheel, electronically (114)). For swimmers, swimming flumes are used where power can be measured with variable flow velocities and strain gauges; another possibility is to compensate the driving power by weights on a car connected by a rope to the swimmer (tethered swimming, (122)).

Measurement of Energy Expenditure
Direct calorimetry, the most exact but also the mostcostly method, is rarely used. If applied with standardized conditions, the reliable routine method (108) is indirect calorimetry (measurements of oxygen uptake VO2 and carbon dioxide production excretion VCO2). Both gases must be measured because the caloric equivalent for O2 depends on the proportion of metabolized fat and carbohydrate, respectively (19.6kJ/l and 21.1kJ/l according to Brooks (27), difference 7.7%). The caloric equivalent can be calculated using the respiratory quotient (RQ=VCO2/VO2) in the expired gas. As fat (RQ=0.7) contains less oxygen than carbohydrate (RQ=1.0), a larger number of O2-molecules has to be inspired and metabolized for a given number of produced CO2-molecules. As the percentage of fat degradation decreases with increasing exercise intensity, but on the other hand increases with duration of work (81), the calculation of the caloric equivalent is a must for exact measurements. The proportion of proteins for energy supply is small especially during exercise and is therefore neglected; if necessary it may be calculated by means of nitrogen excretion in urine (51). An error might be caused if ketone bodies are consumed as ergogenic substances (38, 51); but the contribution to the energy yield can be quantified by measurement of blood concentration during work.
A different access considers the number of ATP molecules synthetized per oxygen molecule (P/O ratio). Under in vivo-conditions it amounts to 3.0-3.2 ATP per O during glucose and glycogen degradation, but only 2.8 during fat oxidation, because the produced Flavin-Adenin-Dinucleotide produced by the latter supplies only 2 ATP/O (27). Since mainly glycogen is metabolized during exercise yielding one ATP more per glucose unit, the difference in ATP production between carbohydrate- and fat metabolization amounts to at least 10%. During a diet very rich in fat, the difference increases even in untrained males because the content of decoupling proteins in the mitochondria rises (46).
An exact measurement of energy expenditure by indirect calorimetry is only possible in the steady state without rising hyperventilation (in that situation the RQ does not mirror metabolism) and without changes of phosphocreatin and lactate concentration, i.e. not earlier than 1-3min after a change in work rate and below the maximal lactate-steady state (maxLass). A moderate constant hyperventilation for respiratory compensation is not problematic, because the alveolar PCO2 decreases only until the CO2-excretion again equals the metabolically-produced CO2-volume.

Consideration of Anaerobic Energy Sources
During very intense short exercises, the anaerobic alactic and lactic energy supply has to be considered. The alactic contribution (consumption of stored energy-rich phosphates) corresponds to the O2-deficit at the beginning (122) or the rapid phase of the O2-debt after the end of exercise (16). The lactic energy yield cannot be calculated from the slow phase of the O2-debt, because other effects like temperature regulation also contribute (53). For 1mmol/l increase of blood lactate, ca. 3ml O2 per kg body mass and the caloric equivalent for carbohydrates is used.

Efficiency during Exercise in Humans – Application

Cycle Ergometry – Endurance Testing
Figures 3 and 4 show measurements in untrained male subjects and cyclists (25). ηgross increases with work rate because the percentage of resting metabolism decreases. This was also observed by other investigators (e.g. (36, 111)). In spite of this drawback it is often used. In contrast, ηnet is less dependent on work rate. Both types of efficiency vary, however, with pedal rate, highest values are 22 and 26%, respectively, at approximately 60-70/min; similar η were measured in women (11). One cause is that the optimum of efficiency is found at medium movement velocities (e.g. (64, 72)). A further cause is that the energy cost for idling rises with frequency. On the other hand, additional muscle fibres are recruited at low frequencies because of relatively high resistive force attributing to the idling cost. The deviations, if constant pedal rate and work rate are not considered, amount to up to 12% for both ηbrutto and ηnetto. As the relative contribution of idling decreases with rising power, the frequency influence is reduced at 200 W.
For untrained subjects there is a tendency for a decrease of ηnetto beginning at 200 W; this may be explained as an effect of the increasing acidosis with hyperventilation and recruitment of supporting muscles. Considering the anaerobic metabolism (rise of blood lactate concentration by 4-6 mmol/l in this investigation) the difference is obvious.
ηdelta and ηwork change markedly with power and partly also with pedalling frequency (25, 63) and therefore are not recommendable for practice. For the so-called muscular efficiency, the internal work including idling is also included in the calculation; it is approximately as large as ηnetto, but without frequency dependence (60). The reproduceability of efficiency measurements on different days is very high under standardized conditions; changes of only 0.6% for ηnetto may be proven (94).

Cycle Ergometry – Sprint
During a 30s maximal test (Wingate Test), the calculation yielded a value of 16% for ηnetto at approximately 700 W (16, 77). The low values probably result from very high pedalling frequency (up to 170/min) with clearly decreasing η also for rapid muscle fibres (e.g. (72)), and not optimally coordinated movements because of maximal power and exhaustion.

Treadmill Ergometry
Exercise against gravity on a treadmill without ascent (85, 89) is per definition zero and thus also η (Fig. 5). With positive slope, ηnet reaches maximally approximately 25%, the value for stair climbing corresponds to it. The values are similar as for cycling, because only positive work is done. During a downward move, energy expenditure decreases below the consumption for walking and running in flat terrain; η reaches a minimum of -120% at a downward slope of 5 to 10% (Fig. 6). Obviously, active braking costs nearly no energy in spite of the formation of actin-myosin bridges.
The work against air and ground friction (called external work) at 0% slope consists of raising the center of mass (force x distance) and acceleration of the body (1/2 mass x velocity2). It can be calculated from a movement analysis using light marks and measuring ground reaction forces. A small amount of internal work (movements of limbs relative to the center of mass) is added. During “natural” movements, energy is stored during each pace. During walking, each limb functions like a pendulum which loses little energy when swinging at its natural frequency. During running, elastic energy is stored especially during landing after the flight phase in muscles, tendons, ligaments and bones (32). ηnet rises maximally up to approximately 40% during walking, during running even to more than 50% (32, 116).
During simulated cross country skiing with rollers on a treadmill, one obtains 15 -20% for ηgross  (20, 103).

Rowing Ergometry
The ηnet of 19% is slightly lower than during cycle ergometry (114). It is, however, typical for this cyclic movement that energy is delivered only during the rowing stroke. The preceding phase adds no or negative work; kinetic energy is elastically stored in the reversal movements.

Swimming Ergometry
In contrast to aquatic animals, man can use only a low percentage of muscular work for propulsion (inadequate body form and -surface, partly not useful movements of limbs). Additionally, buoyancy vastly compensates gravity, thereby preventing the storage of potential energy in contrast to running.
Therefore ηgross (related to the work of propulsion) amounts to 3 to maximally 10% (43, 98, 99, 122). Fins improve it to 15% (43). Because of the high and even rising water resistance, energy need increases more than on land unlinearly with velocity (43). Additionally it depends on friction (properties and area of skin and bathing clothes), surface resistance (height and form of the body) and wave formation.
In females, the work of propulsion is lowered by 30%/m2 body surface: the body position in water is flatter compared to males because of more fat in the lower half of the body as well as shorter legs with less muscle tissue. An increase of leg muscle mass may be a drawback. Black men are rarely successful swimmers because their leg position in water is rather oblique resulting from high bone weight (43).

Efficiency in Sports – Sports Disciplines

General
According to Sih u. Stuhmiller (112), there seems to exist a general law that the metabolic cost per unit external force per application, e.g. the metabolic cost for one step, is relatively constant. However, in the evaluated literature solely V˙O2is often taken as a basis, which increases almost linearly with speed during submaximal exercise. But the exactly calculated energy expenditure increases steeper with power than V ˙O2if the RER is taken into account, since the carbohydrate combustion rises in dependence on power during short exercise tests (109). Additionally, the anaerobic metabolism may increase (14).
Since it is difficult to measure power in practice (except in cycling with force-transducers and revolution counters, e.g. (119)), the energy expenditure in dependence on velocity is an acceptable indicator of efficiency (Fig. 7) and allows comparisons between different disciplines. Air resistance becomes increasingly important at high speed.

Walking and Running
With low velocities, walking is more efficient than running. The cost for the movement of the legs reaches a minimum when the stride duration corresponds to the duration of the natural oscillation of the legs. This is proportional to the length of the legs. Measurement by Cavagna et al. (33) showed that in males the minimum was close to 4 km/h. At approximately 8 km/h, one starts to run spontaneously, because the elastic energy absorbed via stretching muscles and ligaments at the end of the flight phase facilitates take-off and thus increases η. The energetic costs are influenced by biomechanical parameters (i.a. natural frequency, weight of legs, lever length, elastic properties, footwear), the quality of coordination and the ground properties (105). The success of African runners is said to be due amongst other things to biomechanical advantages (68). Hypothetical higher efficiencies of long distance runners compared to sprinters (115) are probably an artefact, since the measurements were performed on a cycle ergometer with 60 rev/min. This frequency is close to the optimum of slow fibres, which are relatively more abundant in endurance athletes. Beneke u. Taylor (17) analysed the influence of the contraction velocity on η in 100m runners and calculated that the dominance of Usain Bolt is in part a consequence of his lower stride frequency compared to his competitors. The contraction frequency is therefore close to the optimum of η and of power. But perhaps the increased force at low frequencies is even more decisive by making longer strides possible. This might explain the discrepancy to cyclists. In leg-amputated athletes with prosthesis, the energy demand for running is higher (87).

Cycling, Ice-Skating
During cycling on plane smooth surfaces, the costs of energy are by far lower than during running at the same speed in spite of a lower efficiency, because the resistance to rolling is low and essentially only the air friction has to be overcome (42). The latter increases significantly only at high speeds. The energetic advantage compared to running disappears with slopes of 13-16% (3). Ice-skating is somewhat costlier than cycling (Fig. 7).
With high power, the pedalling frequency does not play any important role for η. Competitive cyclists therefore prefer high frequencies without disadvantage, because these frequencies need less muscle force with a smaller inhibition of blood flow (e.g. 90/min on long distances (82)). High frequencies are advantageous with brief intense load as well, since the power maximum of muscle fibres is at higher frequencies than the maximum of efficiency (61, 72).
In comparison to tests on ergometers, mechanical factors like cycle construction, pulling forces at the pedals and shifting of weight are not of large importance for efficiency (31).

Cross-Country Skiing
The graph for cross-country skiing is not included in Figure 7; the position would be between ice skating and running (43). For cross-country skiers in flat territory, Niinimaa et al. (92) calculated a net efficiency of 21%, but the anaerobic metabolism was not regarded in spite of the high intensity (85% VO2max). The cost of energy decreases in the following order: diagonal use of poles – double use of poles - skating technique (personal communication, di Prampero 2016).

Rowing
Motor activity is complex during rowing, since a majority of the muscles is used in different manners and boat, oars and man move in different directions with variable speeds. The situation is simplified on rowing ergometers, because elastic energy is stored only at the reversal points of the rowing movement. The boat, however, is a moving system with the rower as center of mass; this system stores movement energy which is dissipated by water friction (113). For propulsion on the water, ηdrag, the ratio between driving energy and energy expenditure, is decisive; the value is 19% in a rowing shell and 17% in a kayak (98). Since air friction is not considered, the true value is higher (detailed analysis in (43)). The utilized energy increases with increasing speed (smaller oscillations of speed and higher proportion of drive phases compared to preceding phases).

Swimming
The energy cost is dependent on the swimming style: crawl<backstroke<breaststroke<-butterfly. Up to 400m, the anaerobic energy delivery is important independent of the swim style and training status (122).
Swimming technique has a large influence on efficiency. Elite swimmers need 40% less energy than college swimmers (ηgross 4-6%), these about 30% less than non-athletes. Remarkable, among other things, is a flatter position in the water of high-performance athletes. A detailed review dealing with the efficiency of different water sports was published by Pendergast et al. (99).

Other Sport Disciplines
During rhythmical movements with rapid changes between shortening and stretching (hopping, probably dancing), the efficiency increases substantially due to utilisation of negative work (34, 104). This may play a role for jumps and throws as well. Without this effect, the efficiency can drop to very low values (e.g. 1-2% in arching (21)).

Trainability and Fatigue
Essential increases are possible by improvement of coordination when performing repeated movements without high force and with moderate metabolism. Optimization of movements additionally reduces the energy need by the reduction of superfluous accompanying movements.
The more complex a movement, the larger the effect of repetition (example swimming). For runners, additional plyometric training is useful, probably because especially the use of elastic energy is improved (86). A high proportion of passive tissues (fat, bones) especially in the moved limbs increases the energy need, the frequent loss of body mass during long distance training reduces it.
When tiring, the coordination deteriorates (58); additionally there are disturbances of intramuscular homeostasis/metabolic stability visible as increases of O2-consumption and lactate concentration at constant power. As rapid fibres fatigue first, the optimum of η is shifted to lowered motion frequencies (1).
For simple well-learned movements (walking, running, bicycling), the training influence depends on intensity. The maxLass is transgressed earlier in untrained than trained subjects, therefore the use of rapid muscle fibres and thus anaerobic metabolism increase continuously. The necessary hyperventilation, as well as the use of supporting muscles and the increase of body temperature, cause a rise of energy need at lower work rates in untrained than trained subjects. After 4 weeks of training in previously inactive runners, a slight decrease of blood lactate concentration and energy expenditure (J/(kg*m) was observed which then remained constant (12).
No training effect on ηgross and ηnet is found below the maxLass (Fig. 3 and 4). This was also observed in a larger investigation (69 males, (91)). But in spite of such results, the trainability of efficiency is discussed again and again. For this the energy expenditure during an already well-mastered movement form should decrease. The cycle ergometer is best suited for comparison, because coordinative improvements are scarcely observed. However, comparisons have to be standardized, applying equal power and equal pedalling frequency. In older investigations (review in (25)), no or only small differences were found as long as anaerobic energy supply with lactate formation and acidosis did not play an increasing role. In more recent investigations with contrasting results, either the dependency on pedal rate was not considered (e.g. (26, 67)) or only VO2was measured. An improved ATP-yield in the mitochondria or a reduced ATP-consumption by actin-myosin-ATPase has been discussed (reviewed e.g. in (6)). While for the latter a prolonged duration of actin-myosin-bridging is assumed, for the former an improved mitochondrial function might be conceivable (e.g. reduced leakage of H+ across the matrix membrane). This hypothesis is based on results of in vitro measurements. According to Divakaruni u. Brand (44), such leaks in the intact muscle are probably unimportant in vivo. Also, according to Mogensen et al. (90), Brooks (27) and Layec et al. (74), there is no proof for training-induced improvements of mitochondrial function. However, the small reduction of efficiency by fat-rich nutrition observed in untrained subjects has not been detected in endurance-trained athletes, possibly because of lower concentration of decoupling proteins (45). This is of importance for cyclists who metabolize especially fat during long-distance races (81).

Age and Sex
During childhood (43) and in advanced age (88), as well as during illness with reduced physical activity (15), a change of coordination is an important and influenceable factor; in this case resistance training is often supportive. During running, boys reach the low energy expenditure of adults only at the age of 15-16 years; during coordinatively simple, very rapid pedalling (Wingate Test), however, the efficiency is at least as high in children above 10 years as in adults (13). In contrast to the usual deterioration during aging (96), the energetic cost of running remains almost unchanged in athletes who train regularly (10). Recently, the suggestion was controversely discussed that η increases in aging subjects; the cause is thought to be an increasing proportion of slow muscle fibres with allegedly better η (95, 118). Possibly this interpretation results from mistakes in the experimental design (rapidly increasing work load in spite of steps of sufficient duration). According to Layec et al. (75), η decreases at advanced age because of massively increased ion pump activity.
A clear sex difference for η apparently does not exist (9, 52, 121). According to Aura and Komi (5), η for positive exercise is slightly higher in males, for negative exercise, however, in females; thus the values for the whole distension-shortening cyclus approach each other (38,1 and 35,5%).

Environment

The ambient temperature has an influence because the energy needed for cooling or heating can be substantial. In a very cold environment, efficiency decreases because of dehydration of the muscles (110). Uncoupling proteins in muscle mitochondria have no influence on whole body energy turnover (47). According to He et al. (61), the efficiency increases with temperature (12-20°) in isolated human muscle fibres because the mechanical power increases more than ATP consumption. Bell u. Ferguson (11) also found a slight increase of ηnet in vivo in young subjects, but not in elderly women when the muscle temperature was raised by 3°. The cadence with the highest efficiency (about 60-70/min in Fig. 4) increases with heating of the muscle (49).
At high altitudes, performance decreases for many sports. Records can be achieved only if the decreased air resistance plays a considerable role (throws, jumps, short run distances, but also bicycle distances between 1000m and 50km (42, 69)). In acute hypoxia (altitude chamber), starting from 3000m of simulated altitude, ηnet decreases significantly during bicycle ergometry (56). However, after acclimatization, an improved efficiency during ergometry has been claimed several times because VO2 was decreased in comparison to the lowland (e.g. (57)). Others, however, found no change in VO2 (78,83). The cause for the discrepancies is presumably an oxygen-saving decrease of fat oxidation in favor of carbohydrates by decreased β-receptor activation after some weeks at high altitudes, which reduces the oxygen need for the ATP buildup (101). That seems to be contradicted by the fact that Epo can increase fat metabolism (2, 30); however, this was examined only in normoxia and is presumably exceeded at altitude by changes of the vegetative innervation. Green et al. (59) calculated an increase of efficiency after return from 6194m of altitude. But their experimental subjects hyperventilated at least in a part of the performance tests, so that the raised RQ was no correct measure of the caloric equivalent; also nothing is stated about the cadence.
In addition, the assumed superior efficiency in inhabitants living at high altitudes is not ensured (reviewed in (22, 29, 35)). Lower VO2 of Tibetans could be related to lower respiratory work following from increased NO formation (48), the physique, as well as to reduced fat metabolism. If ηnet is calculated from data (55) of Tibetans at 4700m of altitude (20-27%), the value is better than in acclimatized Chinese, but almost identical with measurements in the lowland. Hochachka et al. (66) described an improved efficiency (bicycle ergometer) in Andean natives whom they compared at sea level to lowland inhabitants, and speculated about a harmonization of the metabolism (“Fine tuning of ATP production”).
An overview on in part positive and in part negative protein changes in hypoxia was published by Flueck (50). The efficiency measurements by Hochachka et al. (66), however, are probably faulty (24, 29). The net efficiency in their lowland inhabitants reaches only 10% in some cases. In Kenyans, VO2 is relatively low at both high and low altitudes, which might be related to specific features of their physique (low body mass index, long thin legs, good elastic energy storage (73, 104)). Brutsaert et al. (29), according to their own investigations in Andean inhabitants and an examination of the literature about Himalayan inhabitants, come to the conclusion that there are no efficiency improvements in these groups. To sum up, it can be stated that neither acute nor chronic hypoxia has a positive effect on η.

Efficiency and Nitrogen Monoxide

Die Aufnahme von Nitraten, z. B. aus Rote-Beete-Saft, verringert häufig, aber nicht unter allen Bedingungen, die VO2 für submaximale Leistungen um bis zu 5% (Zusammenstellung bei (6, 37, 100)). Nitrate sind eine Quelle für Stickstoffmonoxid, das u. a. die Gefäße erweitert. Der Effekt auf die VO2 wird als Verbesserung des Wirkungsgrads gedeutet. Gleiche Mechanismen wie beim Training werden diskutiert: Verringerter ATP-Verbrauch durch Verlängerung des Elementarzyklus der Kontraktion und geringere Verluste bei der ATP-Bildung im Mitochondrium. Denkbar ist auch eine Abnahme von Herz- und Atemarbeit durch die NO-bedingte Querschnittszunahme von Gefäßen und Bronchien oder eine Senkung der Körpertemperatur durch vermehrte Hautdurchblutung.
Leider wurde häufig der RQ nicht angegeben oder die veröffentlichten Werte sind nicht korrekt. In den Untersuchungen mit RQ-Messung lässt sich schätzungsweise ein Drittel des Effekts einer vermehrten Kohlenhydratverwertung zuzuschreiben (23). Eine Steigerung von ηnettoläge danach nur bei etwa 1% absolut. Der Effekt scheint am stärksten bei Typ II-Fasern und in Hypoxie zu sein, bei Trainierten lässt er sich nur selten nachweisen (4, 70). Insgesamt bleibt die Wirkung umstritten (18, 19). Einige Autoren (z. B. (100)) weisen auch auf das kanzerogene Risiko übermäßiger Nitratzufuhr hin.

Efficiency and Doping

In this regard, there appear to be no systematic investigations. In a study on the effect of Epo in leisure-time sportsmen, the energy expenditure at 100 watts tended to increase after 13 weeks of Epo administration (84). On the contrary, Coyle (39) reported a small improvement in ηgross (from 21.2 to 23.1%; constant VO2max) in an outstanding racing cyclist over 8 years. Meanwhile it is known that he had doped with cortisone, androstenone, and Epo. However, the improvements were doubted (107).

Conclusions

The intramuscular net efficiency is about 30%. In case of whole body consideration, it is dependent on frequency for simple rotation movements and reaches a maximum of about 26%. Elastic energy storage often plays a considerable role, values nearly twice as high are possible during running. Moreover, the efficiency for more complicated movements can be improved substantially by practice through optimization of coordinated movements, which saves energy. On the other hand, mitochondrial energy delivery processes do not seem to be trainable.
An improvement of efficiency by stays at high altitude is not proven, apparently a relative increase of the carbohydrate turnover-rate reduces the oxygen consumption. Improvement of the efficiency by nitrate supply has also not been proven unambiguously.
Measurements of efficiency have a practical importance if the energy expenditure involved with muscle work and sports is to be examined and possibly reduced. However, many statements with regard to efficiency are not as accurate as they could be or are even doubtful because not the energy expenditure, but only VO2 was determined or because comparisons were made with different movement cadences. It is astonishing that VCO2 is not considered on a regular basis, although practically all spiroergometry-devices carry out the measurement.

Conflict of Interest
The authors have no conflict of interest.

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Univ. Prof. a. D. Dieter Böning
Institut für Physiologie
Charité - Universitätsmedizin Berlin
Charitéplatz 1, 10117 Berlin
dieter.boening@charite.de
 
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