The Training Process: Quantifying Training Load | Essentials of Sport Science Live Lecture

In this session we take a look at the training process using concepts such as the General Adaptation Syndrome, the fitness-fatigue paradigm, and stimulus, adaptation, recovery curves. We also look at internal and external load monitoring strategies as well as fatigue monitoring tests such as the countermovement vertical jump. Finally, we introduce the concept of invisible monitoring.
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RESOURCES MENTIONED
Duncan French & Lorena Torres Ronda (2021). NSCA’s Essentials of Sport Science 1st edition. Human kinetics.
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Dr. Jacob Goodin is a professor of kinesiology at Point Loma Nazarene University (PLNU), and holds a PhD in Sport Physiology and Performance from East Tennessee State University. He has over a decade of experience as a strength and conditioning coach and sport scientist from the high school to NCAA Division I levels. In addition to his role as a professor and research mentor, Dr. Goodin directs the Athlete Monitoring Initiative at PLNU, which provides testing and monitoring services to over 200 athletes yearly as well as research opportunities for kinesiology students.
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[@DrJacobGoodin]

Thanks for watching! I'm hoping to keep this live series going with at least one lecture per week. For context, these are filmed during my graduate level course Advanced Practice in Sport Science. The lab portion is harder to film, but if you'd like to see some of the hands-on application of this information, let me know in the comments! Don't forget to subscribe and hit the bell for notifications. In case you missed it, the first lecture, What is Sport Science?, can be found here: kzbin.info/www/bejne/hHurZqKpYrijo8U

[@daviddoyle3892]

Would love to see the labs 🥼

[@Saroj_Ayer]

I am from Nepal, where there are few experts in sports science. Your lecture has greatly aided me in expanding my knowledge of sports science. I hope you bring some more lectures.Thank you Dr.

[@IsraelSwanson-or3im]

Dr. Goodin, I like your online lectures because you cant roast me during them!

[@Justin-bo4cx]

Dr. Goodin, I appreciated how you expressed how helpful RPE can be utilized in programming and perodizations.

[@evaozimec]

I really like your point on how to ensure a performance variable useful. We're not just collecting data to collect data. We need to make informed decisions off of our data collections and create actionable plans such as changing an exercise intensity or movement based off of changes that were seen from the ongoing monitoring assessments.

[@ashleymoratayaa]

Dr. Goodin, I like how you mentioned incorporating testing days into the macrocycle. Simply watching athletes play or perform in competition is not the best way to assess the physical characteristics necessary for their sport. Testing days are good for monitoring and helps us see if we need to made adjustments to the program so our athletes have adequate recovery and are making the adaptations we planned for them to make. Thanks for your video!

[@dretalktoem]

Dr. Goodin, I appreciate the example charts/calculations when talking about volume load in the weight room. It helped me fully understand how there will be differences in calculations of load once displacement is taken into account 24:08

[@BriannaAdams1220]

Hi Dr Goodin! I really like the charts and flows you used for the fitness fatigue paradigm and the stimulus adaptation system. I know for me it helps make more sense of how my athletes should be recovering and if they are not recovering in a similar fashion it tells me to find out why.

[@user-bl3ir3qr2o]

Hey Dr. Goodin, I really enjoyed watching this lecture! I like how you are able to quantify volume load in different ways. It gives a different perspective on how much an athlete is lifting in a quantitative way regarding loads/reps and even displacement. The charts and graphs really helped me understand the material so I appreciate that!

[@torinahommes8539]

Hi Dr. Goodin! Thanks for the educational lecture about quantifying the training load. I particularly enjoyed the section on the physiological response to training. The graph that displayed CHO stores, inflammation, muscle damage, soreness, and voluntary activation really helped me visualize the work and recovery process in a tangible, time defined context. It is interesting to compare the difference between technique training and heavy resistance training and how the SRA curve differs due to the differences in psychological and physiological demands but these are so important for coaches to know and implement. Great stuff!

[@AlejandroBuelna-gj8gj]

Hi Dr. Goodin, after reading the textbook and watching your lecture makes it more clear. I enjoyed how you explain the key factors for a successful training programs, following with fatigue and optimize preparedness.

[@JakeNigh-dr9ow]

Thank you for the informative lecture Dr. Goodin. I like how you covered the history of the General Adaptation Syndrome in the beginning. Additionally, during the lecture I was thinking about how an athlete's performance may be effected when they know they are being tested, but you conveniently covered invisible monitoring at the end! I think invisible monitoring is a great way to monitor athletes in an effective and efficient manner.

[@selafallon7284]

Dr. Goodin, I appreciate your inclusion of invisible monitoring and the educational perspective you bring to this approach for determining athlete readiness.

[@brianchester9628]

I like when I talked about articulating, the system, being able understand the program of what you’re trying to produce when it comes to certain assessments. I enjoy the lecture !

[@mayankgariatraining7851]

Your CSCS video lectures were really helpful. Looking forward to more video lectures of NSCA Essentials of sports science.

[@fernandovillavicencio9628]

Dr. Goodin, I really hope you were not banking on getting sponsored by Catapult. However, thank you for the stellar presentation. Some of the takeaways I found: A form of measuring and quantifying athlete training load is important for the optimization of their program. Adaptation is dependent on the training load, optimization of the adaptation process requires a clear understanding of the load placed upon the athlete. Additionally, to collect relevant information on the athlete's performance, testing and monitoring will be necessary and effective if done correctly. #taketheCPSS

[@akakimot0023]

Hi Dr. Goodin, Great lecture! I was very interested in the section about training load and how it looks in different applications. It was also helpful to see the RPE chart and to learn that the scale is non-linear.

[@ColeCardinale]

Dr. Goodin, I enjoyed seeing the visual of soreness, CHO, inflammation, muscle damage, and VA when you were discussing the physiological response to training. This demonstrates DOMS clearly and overall great to help understand the concepts.

[@josebimbela6036]

God day Dr. Goodin, I found particularly useful the invisible monitoring, as I have read that “testing is training and training is testing” if some testing sessions can be taken away, as the testing can be done inside training, in theory it provides more opportunities to improve, as more training sessions can be completed. Something I like to do in myself and athletes/persons I’ve trained is using RPE or RIR, along with their repetitions and weight used during lifting to estimate their session 1RM, and although not as accurate as an actual testing, and higher reps are less accurate in the predictions, I found it helpful to monitor the adaptations are happening in the desired direction at desired time frames, as well as adjusting load as needed during training sessions.

[@robertbrowne5520]

Thanks for sharing Dr Goodin.

[@DiegoFelipeDr]

Amazing lecture! Thanks for sharing!

[@laynelarsen4910]

This lecture helped clarify the chapters from the text book. You mentioned how RPE can be used and how helpful it can be in a training program which I agree with! How would you adjust programming based off of RPE if every athlete may perceive the same training load differently?

[@kathryncederlind1681]

You are my go-to!

[@DrSamsHealth]

Great lectures, Dr. PS. Hans Selye was Hungarian-Canadian scientist

[@michaelcurtin2127]

This was great! Do you know where i can find an example of a load training microcycle?

[@IvanPalomares-Gonzalez]

Hello Dr. Goodin, I appreciate the in depth video quantifying training load. I think this was a great supplement to the reading in chapter two, it cleared up some of the questions I had. I did have a question regarding the assessment of player's load. Would it be outside of the scope of a sport scientists to assess the biomechanical movement of an athlete? Biomechanical load is something that has been examined more recently in our own lab and in the research. In a team that may have more limited resources, would a simple analysis of slow motion video of a countermovement jump, a sagittal view of the isometric mid thigh pull through the effort, or a frontal/sagittal video review of the players movement in the first couple of steps of a sprint, be appropriate for a sport scientist to do?

[@shivangsaini3134]

Hey dr goodin if we are recovering from previous session in whole block how would the accumulation block would look

[@lnedelcu66]

Great presentation, I will buy the book. Can you tell me what are percentages values from CMJ test represents red flags for level of fatigue?

[@DrJacobGoodin]

Great! Percentages would be context-specific, but I would recommend calculating them based on the coefficient of variation within athletes or within the group, or calculating the standard deviation and comparing the jumps against 1x or 2x the standard deviation. I'll have a video coming out soon on the Hawkin Dynamics channel that will likely address this.

[@lnedelcu66]

@@DrJacobGoodin ok, let see what is next. I have Microgate Optojump, is too expensive for me the force plates.

[@DrJacobGoodin]

@@lnedelcu66 Optojump should work as well because you can calculate jump height based off flight time and it has good rep-to-rep reliability.

[@lnedelcu66]

@@DrJacobGoodin and also gFlight v3 Exsurgo...

[@sccpss2022]

👍