Dynamic Correspondence

The dynamic correspondence can simply be described as the ‘transfer effect’, or ‘transferability’ of training.

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By Owen Walker
29 Jan 2016 | 5 min read

Contents of Article

Summary
What is Dynamic Correspondence?
Training Specificity and Dynamic Correspondence
The Art of Training Prescription
The issues with Dynamic Correspondence
Future Research
Practical Applications
Conclusion
References
About the Author
Comments

Summary

The dynamic correspondence can simply be described as the ‘transfer effect’, or ‘transferability’ of training. Several fundamental factors (i.e. physiological, biomechanical, and psychological) must be considered during training prescription in order to maximise the dynamic correspondence. Though these seemingly simple factors give birth to an exhaustive list of other variables such as the rate of force development, impulse, and VO² intensities. Though it is well-understood that strength and conditioning programmes can improve athletic performance, there is uncertainty in its ability to improve actual sporting performance due to the number of uncontrollable test variables.

Speed development is hugely important for many athletes.

What is Dynamic Correspondence?

The term ’dynamic correspondence’ was first introduced by Professor Yuri Verskoshansky in 1993 in his book ‘Supertraining’ (1). Dynamic correspondence is a generic term which refers to an exercise or training programmes ability to directly affect the athletes sporting performance. This can also be simply described as the ‘transfer effect’, or ‘transferability’ of training.

For example, if a 100m sprinter made a 0.5 second improvement in their competition time purely as a result of their strength and conditioning programme, then the programme would be said to have had a large dynamic correspondence with the athlete’s sport performance – as a 0.5 second improvement could be suggested as a great improvement in the 100m. However, what evidence is there to suggest that this 0.5-second improvement was purely a result of the training programme? Was it not due to improvements in technique, diet, lifestyle, sleep, illegal substances, or even a combination of them all?

The amount of uncontrollable variables such as those just mentioned means there is, and perhaps always will be uncertainty in the effectiveness of a physical training programme to improve performance. This emphasizes the issue with the dynamic correspondence – i.e. there is often no way of identifying the true effect of the training programme on sport performance. With that said, huge amounts of research have proven physical training programmes can improve athletic performance (2, 3, 4, 5, 6). In addition, researchers’ also use the ‘effect size’ statistic to determine how much of an improvement that particular training intervention (e.g. plyometrics) had on athletic performance (7).

However, whilst we can determine the effect, and the magnitude of the effect that a particular training protocol (e.g. resistance or plyometric training) has upon athletic performance in strict testing environments, it is unclear whether there is a dynamic correspondence to actual sporting performance. For example, whilst it is understood that plyometric training can improve kicking performance in football (soccer) (8, 9, 10, 11), there is no evidence to suggest it can improve kicking performance during competition when the athlete is in a chaotic, high-pressure environment.

Training Specificity and Dynamic Correspondence

Dynamic correspondence has a synonymous connection with training specificity which may be better explained by the SAID (Specific Adaptation to Imposed Demands) principle, whereby if the training goal was to improve upper body strength, then the bench press would be more favourable to do so than a leg extension. Consequently, training specificity refers to using training methods which imitate the movements and/or the physical demands performed in the sport but do not directly replicate the sport itself. If the movements associated with the sport were simply replicated, then instead of using exercise-based training to improve performance, the athletes would just play more of their sport. Therefore to achieve training specificity, the prescribed training exercises must replicate the demands of the sport in several ways:

Physiologically
Biomechanically
Psychologically

A simple example of training specificity would be to use a barbell jump squat to improve a the two-footed vertical jump observed in basketball – as there is an obvious similarity between the extension of the hip, knee and ankle joints, otherwise known as the ‘triple extension’ (Figures 1 and 2).

Another clear example would be a triple jumper performing single-leg bounds as part of their strength and conditioning programme, as there is a clear similarity between the two movements (Video 1).

In both of these examples, there are obvious similarities between the exercises and the movements associated with the sport. This movement similarity – namely the triple extension* – partially explains the fascination with using Olympic Weightlifting exercises as a method to improve athletic performance. Amongst this, there are also numerous other reasons why strength and conditioning coaches include Olympic Weightlifting into their training programmes. For further detail on this, click the following link – Olympic Weightlifting.

*The triple extension refers to the explosive action produced by the simultaneous extension of the hips, knees, and ankles. This bilateral or unilateral extension movement is extremely common in sports (e.g. sports involving any sprinting and jumping).

It is commonly agreed amongst exercise professionals that in order to maximise the dynamic correspondence of training, more variables other than just movement similarity must be considered. This suggests that an exercise which simply looks like a sporting movement may not be enough to impose significant improvement on performance. For example, whilst barbell squat jumps may look like many jumps seen in various sports (e.g. basketball two-footed jump), they may not be the best exercise to improve the athletes jumping ability.

In the book Supertraining (1), the authors Verskoshansky and Siff discuss some other essential factors that must be considered when attempting to maximise the dynamic correspondence of an exercise. These additional factors include:

The amplitude/direction of the movement
The accentuated region of force production
The dynamics of effort
The rate and time of maximum force production
The regime of muscular work

However, whilst these factors still remain valid, it may be suggested that even more should be considered – including:

Movement similarities (examples):

Jumping (single-leg and/ or double-leg)
Twisting
Throwing
Pushing
Pulling

Kinetic similarities (examples):

Vertical and horizontal force application
Rate of force development (concentric and eccentric)
Time to peak force
Rate of loading
Power output (peak and average)
Impulse
Ground contact times
Movement/contraction velocity

Neurophysiological similarities

Heart rate (peak and average)
VO² intensities
Metabolic power outputs (peak and average)
Blood lactate concentrations
Rate coding
Motor-unit recruitment

This exhaustive list demonstrates numerous variables that may be considered when a strength and conditioning coach prescribes an athlete with a particular exercise in order to optimise the dynamic correspondence of their training programme. Hence just one of the reasons why training programmes are, or at least should be, highly-individualised.

The amplitude/direction of the movement
The accentuated region of force production
The dynamics of effort
The rate and time of maximum force production
The regime of muscular work

However, whilst these factors still remain valid, it may be suggested that even more should be considered – including:

Movement similarities (examples):

Jumping (single-leg and/ or double-leg)
Twisting
Throwing
Pushing
Pulling

Kinetic similarities (examples):

Vertical and horizontal force application
Rate of force development (concentric and eccentric)
Time to peak force
Rate of loading
Power output (peak and average)
Impulse
Ground contact times
Movement/contraction velocity

Neurophysiological similarities

Heart rate (peak and average)
VO² intensities
Metabolic power outputs (peak and average)
Blood lactate concentrations
Rate coding
Motor-unit recruitment

The Art of Training Prescription

There are clearly a large number of scientific reasons why a strength and conditioning coach may select a particular exercise or drill, but understanding which ones are most important for the intended training goal is the so-called ‘art’ of the training programme. As an example, the scientific reason plyometric bounds may be included in a triple jumper’s training programme may be for their movement, ground contact time, and impulse similarities to the sport itself. However, whilst this may be highly sport-specific, the athlete’s current training goal may be maximum strength/ maximum force production; and thus they may be in a ‘general preparatory phase’ of their training programme.

During the general preparatory phase, the prescribed exercises may be less specific to the sport, this enables the athlete to develop a ‘physical base’, or ‘foundation of strength’ which can be built upon later in the training programme. In the latter stages of the training programme, during the ‘special preparatory phase’ or ‘competition phase’, exercises may be more specific to the sport itself in an attempt to maximise sport-specific skills.

This manipulation of training specificity during an athletes training programme is a vital component for maximising athletic development and is often regarded as the ‘art’ of training prescription.

The issues with Dynamic Correspondence

Like everything in life and particularly athletic development, there are some issues with the theory surrounding the dynamic correspondence. Firstly, whilst there appears to be great logic behind the use of certain exercises, techniques, and training methods, there is an argument to suggest that the use of physical development to improve ‘sport’ performance does not exist. This is purely due to the large number of uncontrollable variables the athlete(s) are exposed to during competition.

For a somewhat exaggerated example, imagine a 9.98-second 100m sprinter has never competed in the Olympics, nor completed a strength training programme but is about to over the coming months. They complete the training programme, compete in the games, and achieve a time of 9.21 seconds – a new world record. Was that the result of the training programme, the atmosphere, their breakfast, or perhaps even their new trainers? The point being made is there are numerous interfering factors which may have contributed to the athlete’s new world record, so the dynamic correspondence of the training programme is not fully understood.

What is important to understand, is that whilst actual ‘sport’ performance is hard to measure, countless quantities of research have demonstrated that physical training programmes can improve ‘athletic’ performance in test-based environments (2, 3, 4, 5, 6). Given this information, assumptions can be made that well-designed strength and conditioning programmes can improve ‘sport’ performance.

Secondly, the current lack of knowledge regarding the biomechanics of sporting movements, for example, the typical peak forces, rate of force developments, impulses, and power outputs of the take-off during the long jump mean there are limitations with the specificity of training prescription. In simpler terms, we do not fully understand the biomechanics of particular sporting movements (e.g. hammer throw) in order to improve them as much as we may be able too.

Future Research

Given the current uncertainties with the true transferability of training programmes on sport performance, future research should explore the following topics:

Better understanding of training programmes impact on ‘sport’ performance (i.e. the dynamic correspondence).
Larger exploration of the biomechanics of sporting movements (e.g. hammer throw, long jump take-off, javelin throw, rugby scrum, football goal-kick).
Impact of certain training modes and exercises on athletic performance (e.g. ‘effects of Olympic Weightlifting on sprint performance’, or ‘the ability of the deadlift to improve the rate of force development during the long jump take-off’).

Practical Applications

When designing a training programmefor an athlete it is essential that the coach fully understands the biomechanics and demands of the sport, as this is vital material to maximise training specificity and the potential dynamic correspondence. For example, if the ground contact time of the foot during a sprint is 80-milliseconds, what exercises/ drills is the strength and conditioning coach going to use in order to improve the athlete’s performance. Additionally, the phases of training must also be considered, if the athlete is to peak during competition phases. These are just two factors that must be considered when working with athletes to improve their chances of sporting success.

Conclusion

The dynamic correspondence is the ‘training effect’ the physical training programme has had upon the athlete’s sport performance. However, due to the large quantities of uncontrollable variables during competition, measuring the dynamic correspondence is extremely difficult, thus the true effects remain elusive. With that being said, there is sufficient evidence from research to suggest physical training programmes do positively enhance sporting performance. With the continual improvements in professional sporting performance, such as the 100m (12) and the High-Jump (13), it may be suggested that the ‘art’ of training prescription continues to grow. Having said this, sporting success in events such as the Olympic Snatch have begun to stagnate over the past 10 years (14). This identifies the need for future research to determine the intricate biomechanical characteristics of many sporting movements in order to enhance our understanding of sport performance and make continuous progressions.

What now?

Some coaches believe that reading one article will make them an expert on strength and conditioning. Here’s why they’re wrong…

Strength and conditioning entails many, many topics. By choosing to simply read up on Dynamic Correspondence and ignore the sea of other crucial S&C topics, you run the risk of being detrimental to your athlete’s success and not realising your full potential.

To make you an expert coach and make your life as easy as possible, we highly suggest you now check out this article on The Dynamic Strength Index.

References

Reference List (click here to open)

Verkhoshansky, Y. (2009). Supertraining [Paperback]. First Edition. Verkhoshansky.

Chaouachi, A., Hammami, R., Kaabi, S., Chamari, K., Drinkwater, E.J. & Behm, D.G. (2014). The combination of plyometric and balance training improves sprint and shuttle run performances more often than plyometric-only training with children. Journal of Strength and Conditioning Research, 28(2), 401–412. [PubMed]

Chaouachi, A., Hammami, R., Kaabi, S., Chamari, K., Drinkwater, E.J. & Behm, D.G. (2014). Olympic weightlifting and plyometric training with children provides similar or greater performance improvements than traditional resistance training. Journal of Strength and Conditioning Research, 28(6), 1483–1496. [PubMed]

Ozbar, N., Ates, S. & Agopyan, A. (2014). The effect of 8-week plyometric training on leg power, jump and sprint performance in female soccer players. Journal of Strength and Conditioning Research, 28(10), 2888– 2894. [PubMed]

Lake, JP and Lauder, MA. Kettlebell swing training improves maximal and explosive strength. J Strength Cond Res 26(8): 2228–2233, 2012 [PubMed]

Ronnestad, B.R., Hansen, J., Hollan, I., & Ellesfen, S. (2015). Strength training improves performance and pedalling characteristics in elite cyclists. Scandanvian Journal of Science and Medicine in Sport, 25, pp. 89-98. [PubMed]

Flanagan, E.P. (2013). The effect size statistic – applications for the strength and conditioning professional. Journal of Strength and Conditioning Research, 35(5), 37-40. [Link]

Marques, M. C., Pereira, A., Reis, I. G., & van den Tillaar, R. (2013). Does an in-Season 6-Week Combined Sprint and Jump Training Program Improve Strength-Speed Abilities and Kicking Performance in Young Soccer Players? Journal of Human Kinetics, 39, 157–166. [PubMed]

Rubley, M.D., Haase, A.C., Holcomb, W.R., Girouard, T.J. & Tandy, R.D. (2011). The effect of plyometric training on power and kicking distance in female adolescent soccer players. Journal of Strength and Conditioning Research, 25(1), 129–134. [PubMed]

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100 metres – Wikipedia, the free encyclopedia. 2016. 100 metres – Wikipedia, the free encyclopedia. [ONLINE] Available at: https://en.wikipedia.org/wiki/100_metres. [Accessed 25 January 2016].

Men’s high jump world record progression – Wikipedia, the free encyclopedia. 2016. Men’s high jump world record progression – Wikipedia, the free encyclopedia. [ONLINE] Available at: https://en.wikipedia.org/wiki/Men%27s_high_jump_world_record_progression. [Accessed 25 January 2016].

Ho, LKW, Lorenzen, C, Wilson, CJ, Saunders, JE, and Williams, MD. Reviewing current knowledge in snatch performance and technique: The need for future directions in applied research. J Strength Cond Res 28(2): 574–586, 2014 [PubMed]

About the Author

Owen Walker

Owen Walker MSc CSCS
Founder and Director of Science for Sport

Owen is the founder and director of Science for Sport. He was formerly the Head of Academy Sports Science and Strength & Conditioning at Cardiff City Football Club, and an interim Sports Scientist for the Welsh FA. He also has a master’s degree in strength and conditioning and is a NSCA certified strength and conditioning coach.