Sunday, May 26, 2013

Interview with Julen Castellano

After reading couple of excellent recent research papers on GPS analysis of Small Sided Games (SSG) in soccer by Julen Castellano et al. [PAPER1PAPER2PAPER3PAPER4] I decided to contact Julen and interview him for the blog. Julen was kind enough to accept the invitation and share his viewpoints and research findings.





MLADEN: I am really glad I have the chance to discuss GPS data and SSG games with you Julen. Before I starting picking up your brain can you please share with the readers who you are and what do you do?

JULEN: I am Julen, Professor at the University of the Basque Country. I have Ph.D.s in Physical Activity and Sport Sciences (UPV/EHU, University of the Basque Country). I am also a Level III Football Coach.

I was a semi-professional football player for 15 years and another 15 as a fitness trainer. But I am not old because I simultaneously did the two roles in the same teams for years. In terms of coaching, I have worked in the academy of professional soccer teams.

My main research focuses on team sports, especially, in “fútbol”, football or soccer. My research areas are: performance analysis, training methods and evaluation, but they are focused on the game and the players’/teams’ tactical behaviour. I have done research on the physical and tactical aspects associated with sports performance in professional, semi-professional and youth football. I published over 30 articles in peer-reviewed journals, six books, 35 book chapters and tutored six Ph.D. students.


MLADEN: What is the best way to measure training load in intermittent activities like soccer? What is the relationship between external (GPS data: acceleration and velocity) and internal (sRPE, %HRmax, TRIMP, bLA) indicators and how do they differ in different activities (for example match vs SSGs)? Which one is most valid, reliable and sensitive?

JULEN: Measuring training load in intermittent activities is not easy. This has been debated for decades, yet now unlocked. They all have their adv’s and dis’s, and probably, if the team has sufficient resources, it will work with some of them; this would be better. Nowadays, with the improvement of technology like GPS having data on external load is a reality. I agree with respecting the principle of specificity, prioritizing, because it is assumed that performance improves more when training simulates the physiological demands and movement patterns of competitive matches. We must stimulate our players as specifically as we can. Velocity and displacement, but specifically acceleration, can be the main variables to measure players load. Soon (I hope) a new work titled RELATIONSHIP BETWEEN INDICATORS OF INTENSITY IN SMALL-SIDED SOCCER GAMES will be published. The conclusion of this study is that during training regimes of this kind it is necessary to consider a range of intensity indicators so as to obtain complementary information. This will enable coaches to assess more accurately the load imposed on players and to optimize the training process. The information obtained from indicators associated with high-intensity activity could be of interest, particularly when the aim is to assess specific training drills such as SSG rather than just training sessions as a whole. In SSG, it could be useful to combine both internal and external indicators so as to obtain a more accurate measure of the training load experienced by players. We have begun to see that these types of variables are more pertinent than others. But much more research is necessary to improve knowledge about it.



MLADEN: Not sure if you are familiar with the work done by prof. Roberto Colli on power output during soccer [LINK], but what they basically did was to combine velocity and acceleration/deceleration data to get power output. Using velocity only analysis oversees short powerful accelerations/decelerations that did not reach high speed threshold, yet provide tremendous mechanical load characteristic for intermittent sports. What are your thoughts about using acceleration and power instead of only speed and how will this impact calculated external load?

JULEN: Nowadays, the information available (to us) is enormous. One thing must be kept in mind, simplicity, we have to be simple. We must think that the trainers need little information (the most relevant) but quickly. Programs capable of handling this information would be included. But, as a result of technological developments it is now much easier to evaluate automatically the external training load of several players at the same time. In this line, global indicators like player load (by Catapult sport, among others), calculated using the data obtained via the triaxial accelerometer incorporated within the GPS device, has demonstrated high reliability, suggesting that accelerometers are a viable tool for tracking activity changes during exercise. Now, we have other indicators derived such as player load 2D, player load slow, number of change of directions and their intensity… Absolutely, around this more research is necessary





MLADEN: In most time motion analysis studies including the new ones using GPS, along with HR data all intensity zones are set up to absolute numbers (i.e. 10-14km/h, 80-90% HRmax). How would using individualized zones, for example based on max speed, MAS (vVO2max) or some other indicator affect calculated loads? Would that be more valid way to assess workloads of an individual?

JULEN: Measuring individual zones we can use max speed, it could be an option, but we have to think that football is a sport of absolute values, in others words, for the game we need to know who is faster than another and not if the players ran at their 90% max speed. The paper by Buchheit M et al. (Match Running Performance and Fitness in Youth Soccer. Int J Sports Med, 2010) is a good example to understand this. I am sure both options have to keep in mind, mixing absolute and relative perspectives.


MLADEN: The study done by Di Salvo et al. (2009) [ABSTRACT]  showed that high intensity activity in the game (assessed with total high intensity running distance; THIR ) was related to team success with teams finishing in the bottom five and middle ten Premier League positions completed statistically significant more THIR compared with teams in the top five. Also, the new study by Carling et al.(2012) [ABSTRACT] showed that Repeat Sprint Ability (RSA) might not play crucial role in a elite match performance as commonly believed. What are your thoughts on this, especially taking into account that those conclusions were based on velocity based time-motion analysis?

 JULEN: Really, the apparent contradictory results of both papers are logical, why? Simply, it is not new, actual performance within a team-sport framework is a complex concept. Nowadays, there are more and more papers about the ‘contextual variables’ (like match status, quality of opponent, location...) and time-motion or playing tactics, for example. To summarise, there is a number of variables that could explain physical workload in soccer players, and combinations of these variables could be used to develop a model for predicting (from a probabilistic viewpoint) the physical activity profile in competition. Some of our research arrives at this conclusion: the player was to make more intelligent runs rather than simply running for long distances. The winning team will probably run less than the opponent, but I wonder, did they run less before scoring the goal? Or on the other hand, run more and once the team has scored a goal, use another kind of strategy to keep the advantage (and run less)? Often, to evaluate performance analysis researchers use all of the game to assess it, but during the game is there a relation to other contextual variables that influence the player’s physical and physiological demands, and one of them being match status. Maybe we should evaluate the physical performance whilst keeping in mind the score. Indeed, some papers suggest that effective assessment of soccer performance at a behavioural level needs to account for the potential interactions between situational variables. To answer the question, we can not to assess sport team performance using only physical point of view, we need more information, because among other things, used play style can be different and so enhances other physical demands.


MLADEN:  When it comes to soccer training, especially lately, coaches use SSG (small sided games) exclusively to develop soccer-specific endurance, even speed and power [click for more HERE]. What are your thoughts on such practices and can it be used for all levels of players (youth, adult, elite) and/or all positions. Is there a ceiling/plateau after which SSG cannot provide further stimuli for improving physical qualities and yield no transfer to a game? Can we achieve all needed physical adaptations by relying solely on SSGs as a method of conditioning/training?



JULEN: Yes of course, I agree with you. The SSG can only help players in some physical qualities or areas and only to a certain level. When players get to one particular level, SSG cannot provide further stimuli to improve physical qualities. Players need other methods to improve their qualities. But we have to think that players need to optimize their qualities and not maximize their qualities. To underline, the play performance is more important than the physical performance. We must be careful! Attention should be paid when using SSGs in training programs because this training method probably would fail to provide stress on activity variables deemed to potentially promote adaptations for the development of game repeated sprint and repeated high-intensity activity. With all, there is no other option, this requires the tracking of players’ training load every day (if we can).





MLADEN: Some coaches believe that 2v2 and 3v3 SSGs (and not 1v1, 2v1, 3v2 finishings) develop power of the players, thus negating the need for power/strength training. They base their rationale on how players feel after it (sore and heavy legs), but I believe that peak power output in those exercises is actually lower (or they spend less time and less occurrence at high power/speed/acceleration/deceleration zones) compared to bigger games due the proximity of the ball and opponents, but the frequency of medium-high efforts and zones is higher, thus the workload is higher on average. In my opinion this is “flaw of averages” and biased view. What is your viewpoint?

JULEN: For an ideal performance in team sports, such as soccer, players need to optimize their technical, tactical, physical and psychological capacities. In this way, it has been suggested that the small games can improve the above mentioned skills of simultaneous and specific form. Nevertheless, although these situations of training replicate the majority of the demands of the competition and that they can be an exercise adapted for the development of some principles of the ‘play model’, they might provide a deficient stimulation of high intensity activities, requiring coaches and trainers to complement this training with other types of drills or carefully configure these tasks with the intention to provide the player with an ideal stimuli of training.



MLADEN: Recent study by Buchheit et al. (ABSTRACT; Slides HERE) showed that we cannot expect linear connection with improving/decreasing physical qualities (MAS and Vmax) and changes in physical game performances. Taking this into account, how do we know whether improvements in physical qualities (MAS – maximum aerobic speed, acceleration, deceleration, agility, maximum speed, etc) yield improvement in physical game performances or do changes in tactical situations yield those improvements? Also, is there a certain threshold after which further improvements in certain physical qualities yield no game performance benefit? How do we know that?

JULEN: Absolutely, more and more studies focus their results in that same line. As I have previously commented in football the priority is not the physical condition. Prior to this, skills and decision-making are key for success, and moreover, all orienting to the team or tactical behaviour. During its history, football training has had different stages. The training methods depend on the era, especially influenced by winning teams. Probably, nowadays, if the German teams keep their superiority other kinds of training methods (and ‘play model’) will be copied. Regarding different styles, I am sure that a minimum level of fitness is necessary (footballers aren’t sedentary), due to the high pace of competition, increasingly during the last few decadesTo assess physical qualities we must be very very specific, try to propose the evaluation of the same physical and physiological demands. The physical qualities should allow players to be prepared to keep their fitness for a whole season (long competitive periods within and between national and international competitions). Furthermore, training must be specifically adapted to player specificity (to their strengths and weaknesses), try to avoid unforced injuries. Permanently evaluating MAS, acceleration, deceleration, agility, maximum speed and others (e.g. in individual areas like biomechanical, physiological…) could help us to diagnose and make decisions regarding player rotation, overtraining, fatigue, recovery strategies, periodisation, influence of training loads on physiological responses and adaptations, risk of injury, inter-individual variability in the responses and adaptations to training, and a lot of more, that although they are not the most important in this type of sport we have to bear them in mind.



MLADEN: Speaking about training, how important is to conduct specific intermittent intervals (i.e. 15/15 with changes of direction) for improving endurance and why are they better than more generic conditioning like 4x1000m or 4x4min?  Wouldn’t  too much of specific work (especially the one that includes a lot of changes of direction) yield specific over-use injuries? Is there time and place for generic training, like intervals on the bike or 4x1000m runs?

JULEN: In my opinion both ideas could be valid. Considering both general and specific work, it is better to keep a balance. In Spanish we use one sentence that can sum up this: “todo no es ni blanco ni negro”, it depends.  Each country, club, team and player has their own idiosyncrasy, so there is not a unique option. It will depend on multiple factors that I can’t list now, but everybody knows or suspects. Linking to the next question, I am closer to the Tactical Periodisation (“Periodización táctica”, Portuguese proposal) than other options, of course, proposed systematically and especially assessing players (experience tells me that it is unusual). This type of periodization involves games principles, every day, week and month. The training skill is almost always a game. This means not leaving aside the structural features of the game when preparing any task, as Ecological Dynamics argues: in designing practice tasks that faithfully simulate performance environments an important challenge is to share information and action, allowing emergent movement patterns. Playing football is different to simply running, jumping or changing direction, although to play football players have to run, jump and change direction. Decision-making comes before everything. But once again, although most training contents should imitate the game I disagree with only taking one type of model which would be a restrictive training approach. I agree with mixing methods.


MLADEN: When it comes to periodization there are multiple solutions that include block training and concurrent training. How should a coach periodize the pre-season and in-season? What should one do during the long in-season to maintain fitness levels and avoid injuries? A lot of coaches use Raymond Verheijen rotation of SSG – what is your opinion on this?

JULEN: In professional football the physical and physiological periodisation principles (that are both individual concepts) have most importance during pre-season, all players have to have a minimum level of fitness, as close to their previous years. Once an elevated level of fitness has been achieved, the team has to keep their fitness platform throughout the season. Independent from different options that the coaching team proposes for their players, the variability can’t be very high because each weekend the team must have a maximal performance (in some cases twice a week), in other words, all games have the same 3 points to win. From this point of view the block periodisation concept might not be the best option. Methodology adopted by individual sports could not be applied in team sports. Team sports need team principles, not individual principles. Another thing is that for physical performance coaches it is easier to program and assess individual qualities. This is necessary but not enough when it comes to team sports. Raymond Verheijen proposal seems a good option too, but I need to read more scientific evidence around this to evaluate adequately (in the same proportion for Tactical periodisation). In my point of view this proposal stems from the player and not from the team. Once again, we are trying to apply individual principles to team sports and I think we must begin from the mean, but it is only my opinion. Maybe, for this reason, when a team play better they are running less; although, it is true that training to run more is easier than training to run better.

MLADEN: Thank you very much for sharing these insights Julen. A lot food for thought and some very important concepts. We are looking forward to new research papers from your group. I wish you good luck and a lot more studies.



Friday, May 24, 2013

Statistics 101: Two-Sample Hypothesis Testing


I am slowly going through Statistical Analysis with Excel book and I am making simulation worksheets to understand the concepts. 




I have created the the worksheet with two populations and two pulled samples to get my mind on standard error of the difference between means which is used in Two-Sample Hypothesis Testing. I have used both Z-Test (when populations variances are known) and T-Test (when we don't know population data).


You can download the Excel workbook HERE. The file is around 11MB due population data (are we simulating or not? :) ) 


Tuesday, May 21, 2013

Statistics 101: Central Limit Theorem Simulation in Excel


Understanding Central Limit Theorem is of EXTREME importance in statistics. This concept usually sets the boundary line between people who understand statistics and people who don’t.

What is confusing about this topic is usually terminology – mean of sampling distribution of the mean, standard deviation of the sampling distribution of the mean – you get the point. What I wanted to do is to make this thing easier to comprehend by using Will Hopkins approach by using simulations. Will Hopkins created great and must read series of spreadsheet designed to help out lost souls (like me) comprehend basic statistic concepts. You can find those spreadsheets and description HERE.

What was lacking in Hopkins spreadsheets was simulation of central limit theorem. Thus I have created this spreadsheet using his famous template. I suggest watching lectures by Khan Academy and then playing with the spreadsheet. Modifying various numbers and seeing how that affects the output might give you deeper understanding of this fundamental concept behind all inferential statistics. I believe I still lack some of the nuts and bolts to get, so I might listen to my own advice and check the Khan videos. 






 If you find any errors please be free to notify me.
Click HERE to download the Excel spreadsheet. 


Saturday, April 27, 2013

Rant: Program design software and some more….




I will be honest here: I F*CKING HATE PAPERWORK. My ultimate goal is to make things as simple as possible and to focus on the most important aspects of coaching (well, coaching) instead of losing precious time and energy on B.S. And paperwork is B.S.



I have been using Excel extensively lately – from designing the yearly periodization chart, to keeping track of performance scores and player profiles, to attendance sheet and workloads monitoring, along with wellness scores, power output and designing team and individual workouts. Managing all of them demands a lot of time – so much that I am getting enough with it. There has to be simpler solution. At least I hope so. And hopefully without the need to spend a lot of $$$.

Managing Databases like this in Excel is clunky, if that is a right word. It is really hard to ‘connect’ individual databases without some VB code and without Excel crushing or slowing down. I am actually thinking about learning Access and building better DB (Database, not dumbbells) with queries, user forms and reports. But Hell – I am strength and conditioning coach, not a damn programmer.

I believe that coaching should be 80% actual coaching and planning and 20% paperwork. Now it is vice versa unfortunately for most of the coaches.

Suppose you need to design a program for a friend that asked for one to get in “shape”. Sure thing – it is pretty simple: you have a general idea what this guy should be doing, maybe even what weights should be using along with progression. You put it on white paper, looks great, but then – you need to write a training SHEET. Put exercises names, pictures, descriptions, reps, sets, weights. And then you end up spending 90% of the time for designing the damn SHEET.

There should be an easier solution. One should have a system that helps him do this. Maybe a list of Excel templates in different folders. Maybe a pro software solution.


WELLNESS



I have been trying to minimize paperwork when it comes to wellness questionnaire. Thanks to Jose Fernandez who pointed me toward iFormBuilder and KlipFolio software I have actually managed to do so using trial account period. I have been spending my free time on learning those systems and torturing user support with bunch of emails (which is EXCELLENT in both companies and I am more than thankful for all their help and patience) and have finally created a simple solution for collecting data from players using smartphones (or web log in for unfortunate [or even fortunate?] few who don’t own them). This might be sRPE (rating of session) or wellness questionnaires. No paper, no copy-paste, no formulas in Excel, no errors, no losing time. You can send notification to players, they fill it in less than 20sec and you get graphical scores in a nice dashboard.



We are still deciding whether we plan using iFormBuilder/KlipFolio combo or going for a pro solution like Kinetic Athlete. Anyway, if someone is interested in building a solution like this I am more than interested in providing consultations. It is perfect for low budget clubs.

Anyway, it is worth noting that monitoring is not a magic bullet that will make all programs work – it is a tool in you tool box. Dr. David Martin explained it the best.



INTEGRATING

What amazes me is the lack of integration of data. Staff in different clubs collect their own data in their own sheets. Some of them are lucky if they actually use DropBox or Trello or shared Google Calendar. Some use high-end solutions like Smartabase or The Sports Office. Most of them use none. Not even a white board. And most of them suffer from same organizational problems – lack of communication, lack of clearly defined roles and responsibilities and accountability. Sad but true.

I believe investing in a software like this, along with educating stuff and being on a same page is of utmost importance. Yet a lot of clubs spend zero time on this aspect. They assume this, but eventually it hit them back real badly.


 WORKOUT DESIGN

I was amazed by the amount of work done by Joe Kenn to design and enlist all workout templates in my favorite strength book – The Coaches’ Strength Training Playbook. It is one of the best resources out there and luckily Joe is working on the second edition which I can’t wait.

Going back to the example I gave above – when you design a template for someone. Would’t be easy to already have a given template, select exercises from the list, select weekly progressions instead of building things from the scratch every time? Of course it would.
I am playing with AccelerWare software at the moment. It is made for strength and conditioning coaches for the designing the workouts, and running the whole business. It is VERY complex piece of software with a lot of functions and possibilities. I am just learning how to use it and will eventually decide whether to switch from Excel to it. I have been on Skype with Stewart Briggs, a coach behind it, who was kind enough to give me a run through. I am still amazed by its possibilities. I am thinking about customizing it using ideas from my Excel tables and start using it without losing time on Excel or learning and building my own solution in Access.

Now I can have all workout templates on one spot, testing batteries, set/rep/% combos and progressions and can quickly design workouts without losing time.

Anyway, I would be more than interested in hearing what other coaches are using to solve these issues. What software are you using and how are you integrating data, data basing it and implementing it to day-to-day workouts.










Thursday, April 4, 2013

Velocity-based strength training: Short Q&A with Mario Marques


Since we got Gym Aware Power Tool system last year for the purpose of tracking power output in countermovement squat jump to estimate neuromuscular fatigue (see great summary by Kristie-Lee Taylor) I have been fascinated by with the simplicity and power of its use.

I started measuring velocity and power with most of the lifts and with recent acquire of Gym Aware Pro Online it made it a lot quicker, reliable and easier.

Researching behind LPT reliability, validity and its use I came across couple of research papers regarding assessment of 1RM by using load-velocity relationship of a given movement (e.g. squats, bench press). Reading those motivated me to do my own small research which you can read HERE.

Eventually I started using the similar approach with my squad (Hammarby IF) to get some insights where is their squat strength going without testing 1RM directly or tiring them with reps-to-failure method (at least for legs – we do reps-till-technical­-failure in bench and pull-ups with and without external weight). I think this approach (i.e. load-velocity relationship) provides numerous advantages and it could be used in daily training for monitoring adaptation (tracking what is happening with your estimated 1RM over training block without actually testing it) or programming of the workouts. The velocity of movement will impact the training stimulus and subsequent the adaptations to training. It has been suggested, therefore, that athletes should try to perform exercises “explosively” at a velocity allowed by the resistance used in a volitional manner. Training at a specific velocity improves the application of force and maximum rate of force development mainly at that velocity, so that less effective training effect will occur if training velocity deviates from the specific trained velocity

Reading more about it I came across one group of authors that provided tremendous quality and practical insights when it comes to velocity-based strength training.

IZQUIERDO M, HAKKINEN K, GONZALEZ-BADILLO JJ, IBAÑEZ J, GOROSTIAGA E. (2002). Effects of long-term training specificity on maximal strength and power of the upper and lower extremity muscles in athletes from different sports events. European Journal of Applied Physiology 87: 264-271.

IZQUIERDO M, GONZALEZ-BADILLO JJ, HÄKKINEN K, IBAÑEZ J, KRAEMER WJ, ALTADILL A, ESLAVA J, GOROSTIAGA EM. (2006). Effect of loading on unintentional lifting velocity declines during single sets of repetitions to failure during upper and lower extremity muscle actions. International Journal of Sports Medicine. Int J Sports Med ; 27: 718–724

JUAN J. GONZÁLEZ-BADILLO, MÁRIO C. MARQUES, LUIS SÁNCHEZ-MEDINA. The Importance of Movement Velocity as a Measure to Control Resistance Training Intensity. Journal of Human Kinetics Special Issue 2011, 15-19

SANCHEZ-MEDINA, L., AND J. J. GONZALEZ-BADILLO. Velocity Loss as an Indicator of Neuromuscular Fatigue during Resistance Training. Med. Sci. Sports Exerc., Vol. 43, No. 9, pp. 1725–1734, 2011

J. J. GONZÁLEZ-BADILLO , L. SÁNCHEZ-MEDINA. Movement Velocity as a Measure of Loading Intensity in Resistance Training. Int J Sports Med 2010; 31: 347 – 352

L. SANCHEZ-MEDINA, C. E. PEREZ , J. J. GONZALEZ-BADILLO. Importance of the Propulsive Phase in Strength Assessment. Int J Sports Med 2010; 31: 123 – 129

So I decided to contact one of the authors and pick his brain regarding this method of strength training.

Mladen: Mario, thank you very much for taking the time to do this interview. Can you please share some info regarding yourself and your research group? How did you come to the idea to study movement velocity in strength training?

Mario: The ability of the neuromuscular system to produce maximal power output appears to be critical in many sports such as sprinting, jumping or throwing, sports that require optimal combinations of muscle strength and speed to maximize athletic performance. In the classical concentric force-velocity curve the amount of muscle tension increases with decrease in velocity, reaching the maximal tension in the isometric (i.e. 0 velocity) condition.

Under these circumstances maximal power output has been defined to occur at a shortening velocity of approximately 0.3 of the maximal shortening velocity, at a force level of 30% of maximal isometric force and/or between loads of 30%–45% of the one repetition maximum (1RM) (Kaneko et al. 1983; Izquierdo et al 2002 and 2006).

Previous studies have examined the relationship between maximal power output and load in isolated bundles of muscle fibers (Hill 1938) or in explosive movements involving upper or lower body muscle groups such as vertical jumping (Bosco and Komi 1980) or bench-press throws (Newton et al. 1997). However, there is a paucity of data on maximal strength and power of upper and lower extremities muscles in sports activities requiring different levels of strength and power, such as handball, road cycling, middle distance running and Olympic weightlifting. It is likely that the load-velocity and load-power relationships may vary between the different muscle groups, for example, in relation to fibre type distribution, different usage in sport-specific activities and/or biomechanical characteristics of the open and close upper/lower kinetic chains.

Classically, strength training programs have been prescribed according to a percentage of the individual maximal strength (i.e. 1RM). However, velocity-specific increases have been shown with strength training programs using different speeds of movement (Behm and Sale 1993). Therefore, it would be of interest to determine force/velocity and power/velocity relationships so that athletes perform training exercises at specific load and/or velocity that would be more similar to the conditions of muscle performance required in the actual competitive movement (Izquierdo et al. 2002).



Coaches and researchers in the field of resistance training attempt to identify the proper handling of training variables to determine the training stimulus that maximizes performance enhancement. One variable that is less considered when designing programs to optimize athletic performance is movement velocity. Classically, the choice of the load should impact the velocity of the movement but most of the data examining this phenomenon have been obtained with isokinetic exercise. The velocity of movement will impact the training stimulus and subsequent the adaptations to training. It has been suggested, therefore, that athletes should try to perform exercises “explosively” at a velocity allowed by the resistance used in a volitional manner. Training at a specific velocity improves the application of force and maximum rate of force development mainly at that velocity, so that less effective training effect will occur if training velocity deviates from the specific trained velocity.

In 2006 one of my Colleagues (Dr. Mikel Izquierdo from the Public Unviersity of Navarra, Spain) reported that for a given muscle action (bench press or parallel squat), the pattern of decline in the relative average velocity achieved during each repetition (expressed as a percentage of the initial value) and the relative number of repetitions performed (expressed as a percentage of the total number of repetitions performed) was the same  with all percentages of 1RM tested. However, relative average velocity decreased at a greater rate in bench press than in parallel squat performance. Conceptually, this would indicate that for loads ranging from 60% to 75% of 1RM, one may predict the pattern of velocity decrease for a given exercise, so that a minimum repetition threshold to ensure maximal speed performance would be determined (Izquierdo et al 2006).

It was showed that the velocity that elicited the maximal power in the lower extremities was lower (» 0.75 m·s-1) than that occurring in the upper extremities (» 1 m·s-1). It is not known why the velocity and the percentage of 1RM that elicits maximal power are different between the upper and lower extremity actions. Such findings are not uncommon since similar results have also been reported during traditional lifts (e.g. bench-press or squat) in young (Cronin et al. 2000; Rahmani et al. 2001; Bosco et al. 1995), middle-aged and older men (Izquierdo et al. 1999).

A possible explanation for these differences observed between the upper and lower extremities may be associated with the extremity-related differences in maximal strength, type of training, muscle cross-section area, fibre-type distribution (Lexell et al. 1983), muscle mechanics (i.e. length and muscle pennation angle) as well as functional differences according to the joint position and geometry of the joints and levers (Gu¨ lch 1994). This type of information on different muscle groups and various actions may also be useful to create optimal strength and/or power training programs for sports with different levels of strength and power demands.

Mladen: What are the differences in load-velocity profiles between upper-lower movements (e.g. squats vs. bench press) or explosive movements like clean, snatch, jump squats or bench throws? What would be their 1RM velocities on average and how do velocities at certain %1RM relate to it (velocity at 1RM)? How does the inclusion or removal of stretch-shortening cycle affect the load-velocity profile (e.g. pause squat or bounce squats)?

Mario: Yes. My Colleague, Professor Mikel Izquierdo From the Public University of Navarra (Spain) showed that, for a given muscle action (bench press or parallel squat), the pattern of decline in the relative average velocity achieved during each repetition (expressed as a percentage of the initial value) and the relative number of repetitions performed (expressed as a percentage of the total number of repetitions performed) was the same  with all percentages of 1RM tested. However, relative average velocity decreased at a greater rate in bench press than in parallel squat performance. Conceptually, this would indicate that for loads ranging from 60% to 75% of 1RM, one may predict the pattern of velocity decrease for a given exercise, so that a minimum repetition threshold to ensure maximal speed performance would be determined A different pattern of velocity declines in relative average velocity was observed when performing repetitions at different intensities between upper and lower extremity muscle actions. For all intensities tested, the average repetition velocity decreased at a greater rate in bench press than in parallel squat performance, so that in bench press performance the significant declines observed in the average repetition velocity (expressed as a percentage of the average velocity achieved during the initial repetition) occurred when the number of repetitions was over 34% of the total number of repetitions performed, whereas in parallel squat it was over 48%. In addition, it was interesting to observe that the velocity attained during the last repetition performed during the sets at 75%, 70%, 65% and 60% of 1RM was significantly higher in half squat than in bench press performance (Izquierdo et al 2006)

Mladen: You showed that velocity loss during a set is related to neuromuscular fatigue of the workout. Are there any published or unpublished data on the relationship of velocity loss during a set with adaptation seen over a training block? I know of one study that did just that. What are your opinions on the GREAT results of velocity based group? What are your thoughts on training to failure?

Mario: Yes. As I mentioned above recent studies from Izquierdo and colleagues showed neuromuscular fatigue related to repetitions to failure. (# IZQUIERDO M, IBAÑEZ J, GONZALEZ-BADIILLO JJ, HÄKKINEN K, RATAMESS NA, KRAEMER WJ, FRENCH DN, ESLAVA J, ALTADILL A, ASIAIN X, GOROSTIAGA EM. (2006). Differential effects of strength training leading to failure versus not to failure on hormonal responses, strength and muscle power gains. Journal of Applied Physiology. May;100(5):1647-56.)  It was showed that after the 11-wk training period (from T0 to T2), 1) similar gains in bench press 1RM, parallel squat 1RM, muscle power output of the arm and leg extensor muscles, and maximal number of repetitions performed during parallel squat were observed between Repetition to failure (RF) vs. NON repetition to failure approach (NRF) and NRF; and 2) the RF group experienced larger gains in the maximal number of repetitions performed during the bench press. During the peaking phase (from T2 to T3), 3) larger gains in muscle power output of the lower extremity were observed after the NRF training approach, and 4) larger gains were found in the maximal number of repetitions performed during the bench press after RF training approach (Izquierdo et al. J Appl Physiol 2006)