WEBVTT

00:00:00.000 --> 00:00:02.299
But as we've seen from the pilot and the discussion

00:00:02.299 --> 00:00:03.740
that I had about some of the other literature

00:00:03.740 --> 00:00:06.259
and experience as a coach, if we push through

00:00:06.259 --> 00:00:09.080
it and we understand that is part of the process,

00:00:09.400 --> 00:00:11.980
oftentimes we will see a favorable outcome. It's

00:00:11.980 --> 00:00:13.919
just about understanding the athlete. It's about

00:00:13.919 --> 00:00:16.140
understanding the adaptation. It's about understanding

00:00:16.140 --> 00:00:18.760
the time course to peak. And if we can do that

00:00:18.760 --> 00:00:24.129
as a coach, we're absolutely loving life. Welcome

00:00:24.129 --> 00:00:27.030
in Evidence Strong Show. It's my pleasure to

00:00:27.030 --> 00:00:28.910
have you. Could you please briefly introduce

00:00:28.910 --> 00:00:30.989
yourself? Thanks, Alex. So my name is Lee Bell.

00:00:31.109 --> 00:00:32.929
I'm a senior lecturer in sports and exercise

00:00:32.929 --> 00:00:34.869
science at Sheffield Harlem University that's

00:00:34.869 --> 00:00:37.250
based in England in the UK. From a research and

00:00:37.250 --> 00:00:39.530
teaching perspective, I think to summarize my

00:00:39.530 --> 00:00:42.270
interest, it would be in strength sports programming

00:00:42.270 --> 00:00:45.609
and specifically periodization programming strategies

00:00:45.609 --> 00:00:48.929
and tactics. The majority of my research has

00:00:48.929 --> 00:00:51.509
been in either overtraining in strength sports

00:00:51.509 --> 00:00:54.350
or in kind of deloading and tapering also in

00:00:54.350 --> 00:00:56.729
strength sports. Amazing. Okay, we'll be talking

00:00:56.729 --> 00:01:00.909
about the paper that is titled Effects of a 5

00:01:00.909 --> 00:01:04.469
-Day Back Squat Overreaching Protocol on Strength

00:01:04.469 --> 00:01:08.769
Performance, Passive Recovery and Wellness Responses.

00:01:08.790 --> 00:01:11.829
And that's a pilot trial. So let's start with

00:01:11.829 --> 00:01:15.469
some definitions. What overreaching is? I think

00:01:15.469 --> 00:01:17.849
for definition, like this there are two ways

00:01:17.849 --> 00:01:19.829
to tackle it there's either a very simple one

00:01:19.829 --> 00:01:22.310
if we look at overtraining first i think that's

00:01:22.310 --> 00:01:24.790
an easier route into overreaching overtraining

00:01:24.790 --> 00:01:26.590
can be used as a verb and it can be used as a

00:01:26.590 --> 00:01:29.650
noun and in research we see that that's the case

00:01:29.650 --> 00:01:31.569
but also with practitioners we see that's the

00:01:31.569 --> 00:01:35.109
case as well so as a verb as a doing word overtraining

00:01:35.109 --> 00:01:38.209
is simply just doing more than what we can recover

00:01:38.209 --> 00:01:40.430
from so that could be intentional that could

00:01:40.430 --> 00:01:42.829
be a programming tactic that might be a training

00:01:42.829 --> 00:01:45.569
camp or it might be an impact microcycle where

00:01:45.640 --> 00:01:47.799
we choose to ramp up the frequency of training

00:01:47.799 --> 00:01:50.620
and that could be in general or it could be for

00:01:50.620 --> 00:01:52.980
a specific lift that we think is lagging or needs

00:01:52.980 --> 00:01:55.500
a little bit more work it could be for a specific

00:01:55.500 --> 00:01:58.140
adaptation that we want to induce typically something

00:01:58.140 --> 00:02:00.819
strength related perhaps hypertrophy related

00:02:00.819 --> 00:02:03.040
but it might also be accidental as well it might

00:02:03.040 --> 00:02:05.239
be a miscalculation of how we're monitoring our

00:02:05.239 --> 00:02:07.519
training load relative to our recovery tactics

00:02:07.519 --> 00:02:11.039
and in short effectively it's just about ramping

00:02:11.039 --> 00:02:13.620
training up relative to recovery capacity as

00:02:13.620 --> 00:02:17.000
a noun as an outcome overtraining is used colloquially

00:02:17.000 --> 00:02:19.300
often to mean like the overtraining syndrome

00:02:19.300 --> 00:02:21.719
and so here to be properly defined by expert

00:02:21.719 --> 00:02:23.979
consensus the overtraining syndrome is where

00:02:23.979 --> 00:02:26.819
we see a significant that's kind of a vague word

00:02:26.819 --> 00:02:29.139
really because it's relative to how we're measuring

00:02:29.139 --> 00:02:31.520
it the outcome measure will performance decrement

00:02:31.520 --> 00:02:33.520
for a minimum of four weeks and that's really

00:02:33.520 --> 00:02:35.699
really important because if we're seeing our

00:02:35.699 --> 00:02:38.180
athlete recovers back to baseline so there's

00:02:38.180 --> 00:02:39.740
an assumption there that we've got a baseline

00:02:39.740 --> 00:02:42.020
measurement if they recover within four weeks

00:02:42.020 --> 00:02:44.360
they by definition have not had the overtraining

00:02:44.360 --> 00:02:47.080
syndrome. If we see that recovery is lagging

00:02:47.080 --> 00:02:48.919
and we see that performance hasn't returned to

00:02:48.919 --> 00:02:50.900
baseline within that four -week period, then

00:02:50.900 --> 00:02:53.419
that's when we might investigate clinically whether

00:02:53.419 --> 00:02:55.500
this person has the overtraining syndrome. So,

00:02:55.539 --> 00:02:57.560
you know, much like any other medical condition,

00:02:57.759 --> 00:02:59.879
we can't self -diagnose. We need to be sent,

00:02:59.900 --> 00:03:02.280
to be referred out to a medical practitioner

00:03:02.280 --> 00:03:04.680
to go through a series of checkpoints to then

00:03:04.680 --> 00:03:06.800
probably diagnose the overtraining syndrome.

00:03:07.039 --> 00:03:09.740
So where the problem exists then is right in

00:03:09.740 --> 00:03:11.979
the middle. I said colloquially, people often

00:03:11.979 --> 00:03:14.150
call the overtraining syndrome. overtraining.

00:03:14.310 --> 00:03:17.289
So now we're using one word, which is both process

00:03:17.289 --> 00:03:19.930
and outcome. And again, you know, we see that

00:03:19.930 --> 00:03:22.210
in conversations with coaches. Absolutely fine.

00:03:22.250 --> 00:03:24.009
A lot of my research is in the language that

00:03:24.009 --> 00:03:26.289
coaches use. I have no issues with that whatsoever.

00:03:26.629 --> 00:03:28.889
But the origins of the research, which are meant

00:03:28.889 --> 00:03:31.490
to be benchmarks to properly define that term,

00:03:31.590 --> 00:03:33.550
they use the same colloquial term as well. And

00:03:33.550 --> 00:03:35.810
we see that in quite a lot of even recent research,

00:03:35.990 --> 00:03:37.729
where they'll use the term overtraining and not

00:03:37.729 --> 00:03:39.710
the overtraining syndrome to mean the outcome.

00:03:39.930 --> 00:03:41.909
And sometimes the overtraining syndrome to mean

00:03:41.909 --> 00:03:44.590
the process. Now, if we were to go to that hashtag

00:03:44.590 --> 00:03:46.349
overtraining and we used to look at the first

00:03:46.349 --> 00:03:49.250
maybe 100 posts, they would always talk about

00:03:49.250 --> 00:03:51.289
overtraining as being a bad thing. But remember,

00:03:51.389 --> 00:03:53.909
it's an intentional tactic. It's an impact microcycle.

00:03:54.110 --> 00:03:56.490
It's often coaches might call it a red week if

00:03:56.490 --> 00:03:58.509
they're using a red amber green rating. It's

00:03:58.509 --> 00:04:01.169
a training camp. So if that was always going

00:04:01.169 --> 00:04:04.150
to arrive at a negative outcome, we wouldn't

00:04:04.150 --> 00:04:06.610
do that as coaches. So overtraining can be a

00:04:06.610 --> 00:04:08.990
positive thing if we use it appropriately. And

00:04:08.990 --> 00:04:11.310
we know perhaps from my pilot trial, which we'll

00:04:11.310 --> 00:04:12.840
talk about. later we know from some of the other

00:04:12.840 --> 00:04:15.580
research that for certain adaptations if we ramp

00:04:15.580 --> 00:04:18.360
up the stimulus and then we recover we can see

00:04:18.360 --> 00:04:20.759
an improvement in performance or in that specific

00:04:20.759 --> 00:04:23.459
adaptation so it is an intentional tactic which

00:04:23.459 --> 00:04:25.500
can be favorable and we never really see that

00:04:25.500 --> 00:04:27.199
in the literature we never really hear it in

00:04:27.199 --> 00:04:29.560
discussions that overtraining can be a good thing

00:04:29.560 --> 00:04:31.600
if we use it properly so that's our first term

00:04:31.600 --> 00:04:34.199
kind of defined then what we come to is we arrive

00:04:34.199 --> 00:04:37.139
at overreaching similar sort of thing we've got

00:04:37.139 --> 00:04:39.660
a process definition we've got an outcome definition

00:04:39.660 --> 00:04:42.720
we have got an expert consensus definition, but

00:04:42.720 --> 00:04:46.339
that most light is around the outcome. So overreaching

00:04:46.339 --> 00:04:48.519
is where we see a decrease in performance that

00:04:48.519 --> 00:04:51.089
lasts. fewer than four weeks. So between kind

00:04:51.089 --> 00:04:53.029
of one and four weeks. So we see a little bit

00:04:53.029 --> 00:04:55.870
of dip in performance. If we return back to baseline

00:04:55.870 --> 00:04:58.829
within four weeks, our athlete was quote unquote

00:04:58.829 --> 00:05:01.069
overreached. So again, what we're seeing here

00:05:01.069 --> 00:05:03.810
is that that perhaps not necessarily a positive

00:05:03.810 --> 00:05:06.110
outcome, but then to make it more complicated,

00:05:06.310 --> 00:05:09.310
we need to divide that term up into functional

00:05:09.310 --> 00:05:11.209
overreaching and non -functional overreaching.

00:05:11.370 --> 00:05:13.230
So non -functional overreaching is effectively

00:05:13.230 --> 00:05:14.889
what I've just said there is we're not seeing

00:05:14.889 --> 00:05:17.449
any positive outcome. There was no real reason

00:05:17.449 --> 00:05:19.810
to undertake. that training. We've returned back

00:05:19.810 --> 00:05:22.290
to baseline simply because it's taken us so long

00:05:22.290 --> 00:05:24.850
to recover that we've perhaps lost that potential

00:05:24.850 --> 00:05:27.350
stimulus and adaptation. Functional overreaching

00:05:27.350 --> 00:05:28.949
is where we've seen improvement in performance

00:05:28.949 --> 00:05:32.209
relative to baseline. So that's our best case

00:05:32.209 --> 00:05:35.329
outcome. We've undertaken a really short and

00:05:35.329 --> 00:05:37.170
intense period of training. The athlete's probably

00:05:37.170 --> 00:05:39.610
not like that and probably not like the coach

00:05:39.610 --> 00:05:41.569
for giving them, for prescribing them that level

00:05:41.569 --> 00:05:43.930
of intense exercise. We've then applied some

00:05:43.930 --> 00:05:45.689
recovery, but they've come out of the other side

00:05:45.689 --> 00:05:47.889
flying. They're stronger, they're faster. can

00:05:47.889 --> 00:05:50.209
jump higher perhaps they're more muscular depending

00:05:50.209 --> 00:05:53.009
on the type of training but this functional overreaching

00:05:53.009 --> 00:05:55.709
is is the best case it's most favorable outcome

00:05:55.709 --> 00:05:58.889
now being extremely pedantic how do we separate

00:05:58.889 --> 00:06:01.050
functional overreaching from a normal response

00:06:01.050 --> 00:06:03.649
to training? And in the literature, that is that

00:06:03.649 --> 00:06:06.350
we must, and this is very, very clear, we must

00:06:06.350 --> 00:06:08.689
see that initial decrement in performance for

00:06:08.689 --> 00:06:11.610
around a week before we see this rebound, or

00:06:11.610 --> 00:06:13.589
we might call it a super compensation effect.

00:06:13.689 --> 00:06:15.550
If we're not seeing that, then we might just

00:06:15.550 --> 00:06:17.910
label it kind of like a progressive overload,

00:06:18.329 --> 00:06:22.430
fitness to fatigue kind of response. The last

00:06:22.430 --> 00:06:25.230
part of the definition then comes down to the

00:06:25.230 --> 00:06:27.990
actual process of overreaching. Again, all that

00:06:27.990 --> 00:06:30.149
is, is it's synonymous with overtraining. We

00:06:30.149 --> 00:06:32.889
often call an overreach like an impact microcycle

00:06:32.889 --> 00:06:35.709
again. So overtraining as a verb and overreaching

00:06:35.709 --> 00:06:38.709
as a verb are effectively the same thing. An

00:06:38.709 --> 00:06:41.529
overreach is just the type of intentional overtraining.

00:06:41.709 --> 00:06:43.689
We end up with these kind of myriad of different

00:06:43.689 --> 00:06:45.930
things that we can move around depending on the

00:06:45.930 --> 00:06:48.029
context of whether it's intentional, accidental,

00:06:48.589 --> 00:06:51.069
process -driven, outcome -driven. But it's really

00:06:51.069 --> 00:06:53.329
important that for us as coaches and practitioners

00:06:53.329 --> 00:06:55.350
that we understand those words, particularly

00:06:55.350 --> 00:06:57.839
if we choose to... to listen to podcasts like

00:06:57.839 --> 00:07:00.319
this or read articles or read research papers

00:07:00.319 --> 00:07:02.240
because the context of the words are really,

00:07:02.339 --> 00:07:04.519
really important. And again, whilst that might

00:07:04.519 --> 00:07:07.060
seem quite pedantic for me. understanding the

00:07:07.060 --> 00:07:09.560
words we use in sports science is key let me

00:07:09.560 --> 00:07:13.060
mirror to you what i've learned and let's see

00:07:13.060 --> 00:07:16.459
where what i'm missing so in normal training

00:07:16.459 --> 00:07:20.259
we want to apply some stimulus and hopefully

00:07:20.259 --> 00:07:23.579
it will drain the athletes so they can adapt

00:07:23.579 --> 00:07:28.199
now overreaching is requires that this dip under

00:07:28.199 --> 00:07:31.420
before the adaptation has to be for a week and

00:07:31.420 --> 00:07:35.670
then they either recover and we achieve super

00:07:35.670 --> 00:07:37.850
compensation adaptation and they get better and

00:07:37.850 --> 00:07:40.230
that's functional overreaching or they just go

00:07:40.230 --> 00:07:43.649
to the baseline and plateau there and we call

00:07:43.649 --> 00:07:46.550
it non -functional overreaching because the function

00:07:46.550 --> 00:07:49.149
was to get them better we didn't do that so that's

00:07:49.149 --> 00:07:52.470
how i understand non -functional if it goes for

00:07:52.470 --> 00:07:56.350
so let's say they plateaued at three weeks and

00:07:56.350 --> 00:07:59.209
they stay there and we are week four stay there

00:07:59.209 --> 00:08:02.649
week five or they go down and can't can't bring

00:08:02.649 --> 00:08:05.149
themselves up after four weeks we We call it

00:08:05.149 --> 00:08:08.790
overtraining syndrome. Yeah. But again, I use

00:08:08.790 --> 00:08:11.350
assumption quite a lot because we have to assume

00:08:11.350 --> 00:08:14.490
quite a lot with this research area because understandably,

00:08:14.490 --> 00:08:16.529
there's very, very little work that's being done

00:08:16.529 --> 00:08:18.990
to intentionally give someone the overtraining

00:08:18.990 --> 00:08:22.029
syndrome. In research, we have ethics boards

00:08:22.029 --> 00:08:24.290
that stop things from happening that are too

00:08:24.290 --> 00:08:26.470
risky. It comes down to an argument about risk

00:08:26.470 --> 00:08:28.529
and reward. And we can talk a little bit about

00:08:28.529 --> 00:08:30.610
that with our pilot and some of the kind of,

00:08:30.610 --> 00:08:32.889
I say loopholes, it sounds very cynical, but...

00:08:33.049 --> 00:08:34.690
some of the things that we had to do in order

00:08:34.690 --> 00:08:37.409
to get this study off the ground. There are very,

00:08:37.529 --> 00:08:39.750
very little. And off the top of my head, I can

00:08:39.750 --> 00:08:42.289
think of one study in particular that's used

00:08:42.289 --> 00:08:45.590
repeated time points to track the recovery process.

00:08:45.870 --> 00:08:49.929
How to put overreaching into context of periodization?

00:08:50.129 --> 00:08:52.669
Because I can speak from Olympic weightlifting.

00:08:52.889 --> 00:08:55.809
When you prepare for a meet, you have a structure

00:08:55.809 --> 00:08:58.389
to your training. It's not linear progression.

00:08:58.769 --> 00:09:03.230
It's not, at least not at some point. You can't

00:09:03.230 --> 00:09:06.049
do just linear progression for years. So there

00:09:06.049 --> 00:09:09.730
is some kind of periodization. Now, how overreaching

00:09:09.730 --> 00:09:12.529
and possibly overtraining syndrome fits into

00:09:12.529 --> 00:09:15.370
that? Yeah, absolutely. So there are, you're

00:09:15.370 --> 00:09:17.889
right, linear periodization models don't lend

00:09:17.889 --> 00:09:20.830
themselves very well to incorporating a planned

00:09:20.830 --> 00:09:24.169
overreach. There could be an argument if we were

00:09:24.169 --> 00:09:27.070
using a summated microcycle approach. So like

00:09:27.070 --> 00:09:29.330
your traditional one would be three weeks where

00:09:29.330 --> 00:09:32.220
the training load increases. through volume or

00:09:32.220 --> 00:09:34.679
through load on the bar, followed by a deload,

00:09:34.679 --> 00:09:36.440
then another three weeks. It doesn't have to

00:09:36.440 --> 00:09:38.399
be three weeks. Summated microcycles could be

00:09:38.399 --> 00:09:40.759
five weeks deload, six weeks deload. It doesn't

00:09:40.759 --> 00:09:42.399
really matter. But there are some periodization

00:09:42.399 --> 00:09:44.379
models like block periodization, for example,

00:09:44.559 --> 00:09:47.320
that give us an opportunity to go for this seven

00:09:47.320 --> 00:09:50.559
or 14 day period, we are going to ramp things

00:09:50.559 --> 00:09:52.879
up. You will not be in a good place. You will

00:09:52.879 --> 00:09:55.440
feel under recovered. You will feel absolutely

00:09:55.440 --> 00:09:58.480
fatigued. You will feel sore. But you need to

00:09:58.480 --> 00:10:01.279
trust the process that we're layering. on the

00:10:01.279 --> 00:10:03.960
stimulus we're creating the adaptation it's just

00:10:03.960 --> 00:10:06.779
being masked by fatigue but when we apply the

00:10:06.779 --> 00:10:09.240
deload period that fatigue will dissipate really

00:10:09.240 --> 00:10:11.399
quickly but we'll retain we'll hold on to those

00:10:11.399 --> 00:10:14.840
adaptations if we then are on platform because

00:10:14.840 --> 00:10:17.100
we're competition or we're leading into another

00:10:17.100 --> 00:10:19.059
block of training our athlete all of a sudden

00:10:19.059 --> 00:10:20.899
goes wow i feel in a really good place like i'm

00:10:20.899 --> 00:10:23.100
just moving really really well the bar's moving

00:10:23.100 --> 00:10:25.460
fast i've got a lot of load on it now we did

00:10:25.460 --> 00:10:28.360
some research on this because i come from a coaching

00:10:28.360 --> 00:10:30.460
background and the problem that i had with some

00:10:30.460 --> 00:10:32.580
of the the kind of the studies where they applied

00:10:32.580 --> 00:10:35.039
an intentional overreach was i was looking and

00:10:35.039 --> 00:10:37.480
i'm going this is just not how people train in

00:10:37.480 --> 00:10:40.360
the real world it's not you can't you can't create

00:10:40.360 --> 00:10:42.919
a fictitious microcycle and then go oh wow look

00:10:42.919 --> 00:10:44.919
these people were fatigued and then go coaches

00:10:44.919 --> 00:10:47.360
you should follow this because the coaches are

00:10:47.360 --> 00:10:49.100
ahead of what the sport scientists are doing

00:10:49.100 --> 00:10:51.940
so what i did as part of my phd in the early

00:10:51.940 --> 00:10:55.080
years was i spoke to coaches you know high level

00:10:55.080 --> 00:10:57.559
elite level international level coaches i said

00:10:57.559 --> 00:11:00.029
what do you do Like I want to paint a picture

00:11:00.029 --> 00:11:02.470
of an intervention that I want to apply in practice,

00:11:02.590 --> 00:11:05.029
but I wanted to mirror what you would do. And

00:11:05.029 --> 00:11:07.889
I wasn't surprised by this, but there were basically

00:11:07.889 --> 00:11:09.950
a million different ways that you can apply an

00:11:09.950 --> 00:11:11.950
overreach. And it wasn't like, oh, weightlifting

00:11:11.950 --> 00:11:14.149
coaches do it this way and powerlifting coaches

00:11:14.149 --> 00:11:16.250
do it this way. It was all about the athlete.

00:11:16.389 --> 00:11:19.549
It was all about the individual response kinetics

00:11:19.549 --> 00:11:22.049
of the athlete. What do they enjoy to a degree?

00:11:22.269 --> 00:11:24.169
What do they respond well to? I mean, we all

00:11:24.169 --> 00:11:26.169
know that some athletes just respond really well

00:11:26.169 --> 00:11:28.440
to just lots of heavy load. Some respond really

00:11:28.440 --> 00:11:31.000
well to lots of volume. A small proportion respond

00:11:31.000 --> 00:11:33.419
well to lots of volume and intensity for a short

00:11:33.419 --> 00:11:35.419
period. You know, some athletes will just not

00:11:35.419 --> 00:11:37.340
turn up to the gym if they've got in the middle

00:11:37.340 --> 00:11:40.059
of a cycle. Some will, you'll ask them to just

00:11:40.059 --> 00:11:41.679
calm down a little bit. You turn your back and

00:11:41.679 --> 00:11:43.440
they're off doing a max again. So there were

00:11:43.440 --> 00:11:45.399
all of these different tactics, but effectively

00:11:45.399 --> 00:11:48.179
it was, there is a skill component to sports

00:11:48.179 --> 00:11:50.220
like weightlifting and powerlifting. So where

00:11:50.220 --> 00:11:54.159
possible, reduce the number of accessory exercises

00:11:54.159 --> 00:11:56.840
and focus on the pattern, focus on the squat

00:11:56.840 --> 00:11:58.899
pattern. and focus on the bench the deadlift

00:11:58.899 --> 00:12:01.500
don't completely get rid of the other stuff but

00:12:01.500 --> 00:12:04.700
just reduce that down a touch increase volume

00:12:04.700 --> 00:12:08.100
within a given period of time a week a session

00:12:08.100 --> 00:12:11.039
whatever it might be by doing more sets by increasing

00:12:11.039 --> 00:12:14.279
the load by increasing the density so reducing

00:12:14.279 --> 00:12:16.519
rest periods potentially depends on the adaptation

00:12:16.519 --> 00:12:18.740
that we're wanting to create and whether we've

00:12:18.740 --> 00:12:20.980
got another block of training coming after the

00:12:20.980 --> 00:12:23.679
overreach or we want to be on platform to then

00:12:23.679 --> 00:12:26.299
effectively be on podium so the answer to that

00:12:26.299 --> 00:12:28.600
is there's a million different ways to do it

00:12:28.600 --> 00:12:31.820
but there are some kind of key metrics that we

00:12:31.820 --> 00:12:34.899
want to abide by like lots of volume like reducing

00:12:34.899 --> 00:12:38.769
the the number of exercises. We then risk monotony

00:12:38.769 --> 00:12:41.409
because the athletes come in doing what they

00:12:41.409 --> 00:12:43.389
feel like the same thing over and over again.

00:12:43.629 --> 00:12:46.389
That unfortunately is the nature of the overreach.

00:12:46.549 --> 00:12:49.169
I think we're clear on overreaching versus overtraining

00:12:49.169 --> 00:12:51.490
syndrome. Functional and non -functional, is

00:12:51.490 --> 00:12:54.429
there anything else in terms of functional and

00:12:54.429 --> 00:12:56.269
non -functional we need to talk about before

00:12:56.269 --> 00:12:58.350
we go into the study? There probably is, to be

00:12:58.350 --> 00:13:01.669
honest. I think... Going back a good few minutes,

00:13:01.710 --> 00:13:03.610
you mentioned about with functional overreach

00:13:03.610 --> 00:13:06.009
and we'd need to see the seven day lagging performance

00:13:06.009 --> 00:13:08.269
before we see a super compensation effect. And

00:13:08.269 --> 00:13:10.590
something popped in my mind there. And what I

00:13:10.590 --> 00:13:13.429
was thinking was, well, what if our athlete was

00:13:13.429 --> 00:13:15.830
to super compensate two or three days after?

00:13:15.950 --> 00:13:18.169
Technically, we can't call it a functional overreach

00:13:18.169 --> 00:13:21.860
by definition, but it's still functional. in

00:13:21.860 --> 00:13:24.379
nature because that's what we want. And there

00:13:24.379 --> 00:13:28.840
is this concept called super compensation kinetics.

00:13:29.039 --> 00:13:31.019
And what that is, is that we could take a bunch

00:13:31.019 --> 00:13:33.639
of athletes, a small or a large sample. We give

00:13:33.639 --> 00:13:36.059
them all the same block of training with the

00:13:36.059 --> 00:13:38.440
same relative amount of training load. So obviously

00:13:38.440 --> 00:13:40.379
like, you know, if you can lift more than me,

00:13:40.460 --> 00:13:41.899
you would lift more than me in the block, that

00:13:41.899 --> 00:13:43.720
type of thing. And then we give everyone the

00:13:43.720 --> 00:13:46.200
same deload or taper period. And we'll see that

00:13:46.200 --> 00:13:48.440
people peak at different time points. As coaches,

00:13:48.500 --> 00:13:50.379
we know this already. Again, coaches are way

00:13:50.379 --> 00:13:52.840
ahead of us. scientists but we've seen this in

00:13:52.840 --> 00:13:55.000
a small number of studies including our pilot

00:13:55.000 --> 00:13:58.019
study where some athletes will take 14 days to

00:13:58.019 --> 00:14:00.500
reach peak strength so they need a longer taper

00:14:00.500 --> 00:14:03.059
period before competition so do i need to give

00:14:03.059 --> 00:14:05.820
them a different overreach not really but i need

00:14:05.820 --> 00:14:07.679
to give them the overreach further away from

00:14:07.679 --> 00:14:09.820
competition otherwise they're still carrying

00:14:09.820 --> 00:14:12.039
a little bit of latent fatigue into competition

00:14:12.039 --> 00:14:15.590
we see that some stroke most will peak around

00:14:15.590 --> 00:14:18.230
seven days but there are a very small and this

00:14:18.230 --> 00:14:19.850
for me is really really interesting there are

00:14:19.850 --> 00:14:22.149
a very small number of athletes that do not need

00:14:22.149 --> 00:14:24.909
a taper at all so they can come off an overreach

00:14:24.909 --> 00:14:27.289
or they can come off a training block and they

00:14:27.289 --> 00:14:30.149
are straight ready to peak lucky busters oh absolutely

00:14:30.149 --> 00:14:33.370
absolutely but how do we know this unless we

00:14:33.370 --> 00:14:36.629
use repeated testing and go wow like if you do

00:14:36.629 --> 00:14:39.070
a taper that's eight days you're in perfect and

00:14:39.070 --> 00:14:42.080
prime position to win that competition But, and

00:14:42.080 --> 00:14:44.179
it gets even more complicated, the next time

00:14:44.179 --> 00:14:45.860
we try it, at eight days, they're still in the

00:14:45.860 --> 00:14:47.519
hole. They're still feeling like shit and they're

00:14:47.519 --> 00:14:49.620
just like, I need longer. So now we've got this

00:14:49.620 --> 00:14:52.519
like intra -individual layer of variability where

00:14:52.519 --> 00:14:54.539
we need to treat every athlete differently when

00:14:54.539 --> 00:14:56.740
we apply an overreach and then the taper. But

00:14:56.740 --> 00:14:59.340
this kind of like, sorry, an inter -level variability

00:14:59.340 --> 00:15:01.460
and then an intra -level variability where the

00:15:01.460 --> 00:15:04.360
same athlete might require a different duration

00:15:04.360 --> 00:15:06.840
of taper depending on where they are in the competition

00:15:06.840 --> 00:15:09.340
cycle. So it becomes very, very complicated and

00:15:09.340 --> 00:15:12.830
to me comes right back. to you can't create and

00:15:12.830 --> 00:15:14.570
i think when i first started my phd i was very

00:15:14.570 --> 00:15:16.389
naive on this i was like you know what i want

00:15:16.389 --> 00:15:18.970
to create here a framework where i can give it

00:15:18.970 --> 00:15:21.350
to coaches and go follow that and i promise you

00:15:21.350 --> 00:15:23.269
now your athletes will be the best they ever

00:15:23.269 --> 00:15:25.389
will be in every competition and the more i was

00:15:25.389 --> 00:15:27.809
testing the more i was learning i was like yeah

00:15:27.809 --> 00:15:31.179
like that that's a stupid idea Because we cannot

00:15:31.179 --> 00:15:35.580
remove the coach's intuition from this. So how

00:15:35.580 --> 00:15:37.620
do we measure? Again, it becomes problematic.

00:15:37.659 --> 00:15:40.820
We often use proxy measures because they're not

00:15:40.820 --> 00:15:43.120
invasive. They don't layer on additional fatigue.

00:15:43.279 --> 00:15:45.500
They're quick and they're simple. The problem

00:15:45.500 --> 00:15:47.600
is sometimes we can rely on those a little bit

00:15:47.600 --> 00:15:50.080
too much. Well, certainly we will rely on one

00:15:50.080 --> 00:15:52.960
singular metric. So with our pilot study, for

00:15:52.960 --> 00:15:55.879
example, what we found was that we were training

00:15:55.879 --> 00:15:57.820
people every day and we were training them hard.

00:15:58.019 --> 00:16:01.080
They were able to retain that. quite well but

00:16:01.080 --> 00:16:04.600
their jumping ability was it just tanked it absolutely

00:16:04.600 --> 00:16:07.379
tanked some of the perceptual measures which

00:16:07.379 --> 00:16:10.100
are really really important again i i don't think

00:16:10.100 --> 00:16:13.139
we can treat an athlete like a number i think

00:16:13.139 --> 00:16:15.279
we need to get them involved in the process but

00:16:15.279 --> 00:16:17.340
we also need to be aware that what they report

00:16:17.340 --> 00:16:20.090
how they feel And the objective measures sometimes

00:16:20.090 --> 00:16:22.389
don't measure up very, very well. So, you know,

00:16:22.409 --> 00:16:25.110
we had athletes some days coming in. I'm segwaying

00:16:25.110 --> 00:16:26.929
into the pilot study a little bit now, but we

00:16:26.929 --> 00:16:28.549
had some athletes coming in and they were going,

00:16:28.590 --> 00:16:30.830
oh, wow, like, I just can't move today. I feel

00:16:30.830 --> 00:16:33.210
so sore. We were like, okay, well, I'll tell

00:16:33.210 --> 00:16:34.870
you what, let's see how you're jumping today.

00:16:35.070 --> 00:16:36.970
Oh, yeah, yeah, you're not jumping very well.

00:16:37.070 --> 00:16:40.090
Like, your jump has decreased by, you know, a

00:16:40.090 --> 00:16:42.809
large amount. We get them under the bar. We track

00:16:42.809 --> 00:16:44.590
the velocity of their warm -up and that's moving

00:16:44.590 --> 00:16:46.950
much slower. And we're like... This is not looking

00:16:46.950 --> 00:16:49.330
good for you. And then we go, okay, well, let's

00:16:49.330 --> 00:16:52.610
get some load on the bar and see how well the

00:16:52.610 --> 00:16:54.929
heavy load moves. Oh, it's moved the same. It's

00:16:54.929 --> 00:16:56.990
moved the same velocity with the same load. So

00:16:56.990 --> 00:16:59.370
we can use some of the proxy measures, but we

00:16:59.370 --> 00:17:02.169
can't dismiss what's happening right up at the

00:17:02.169 --> 00:17:05.670
top end as well. And again, same with the previous

00:17:05.670 --> 00:17:08.549
interview, it's an issue that we have, and we

00:17:08.549 --> 00:17:11.210
sometimes just need to marry up the objective

00:17:11.210 --> 00:17:13.970
data. We triangulate it, the objective data.

00:17:14.509 --> 00:17:16.390
with how the athlete feels but our experience

00:17:16.390 --> 00:17:19.250
as a coach as well and go look yeah we need a

00:17:19.250 --> 00:17:22.130
down day today we need a deload day let's just

00:17:22.130 --> 00:17:24.609
have a more of a relaxing session lightweight

00:17:24.609 --> 00:17:27.529
bit of skill work coming tomorrow we'll hit it

00:17:27.529 --> 00:17:30.390
again or we go you know what you're in an impact

00:17:30.390 --> 00:17:33.170
cycle you will feel sore do i care that your

00:17:33.170 --> 00:17:36.000
jumps are down not really because what i'm chasing

00:17:36.000 --> 00:17:38.720
is maximal strength get under the bar stop complaining

00:17:38.720 --> 00:17:41.099
and lift now you can do that with some athletes

00:17:41.099 --> 00:17:42.859
so they'll go yeah come on let's do it are you

00:17:42.859 --> 00:17:44.480
with other athletes and you've lost that trust

00:17:44.480 --> 00:17:46.420
with them so whilst we're triangulating the metrics

00:17:46.420 --> 00:17:49.279
we we can't can't dilute the coach athlete relationship

00:17:49.279 --> 00:17:51.930
as well Again, that's very individualistic. So

00:17:51.930 --> 00:17:54.509
I think to kind of sum up the question, yes,

00:17:54.630 --> 00:17:56.369
there are different time courses to different

00:17:56.369 --> 00:17:58.730
adaptations in the same way that there are different

00:17:58.730 --> 00:18:01.890
time courses to chase those adaptations. And

00:18:01.890 --> 00:18:04.430
I think that that pretty much covers that really.

00:18:04.529 --> 00:18:07.269
It's important about what we choose to measure

00:18:07.269 --> 00:18:09.170
and when we choose to measure it and how we use

00:18:09.170 --> 00:18:11.170
it as a proxy. All right. So I think it's a good

00:18:11.170 --> 00:18:14.529
moment to bring up your study and go through

00:18:14.529 --> 00:18:16.829
from the beginning how you set it up. But what

00:18:16.829 --> 00:18:19.089
we ended up with was effectively a very challenging

00:18:19.089 --> 00:18:21.130
protocol. and I want to be very very clear on

00:18:21.130 --> 00:18:23.130
this that whilst the results of the study showed

00:18:23.130 --> 00:18:25.009
that I think everyone improved their one rep

00:18:25.009 --> 00:18:27.789
max this is not a cycle that I would ever tell

00:18:27.789 --> 00:18:31.029
a coach to introduce within a training plan bear

00:18:31.029 --> 00:18:32.990
with me on this while I talk through it please

00:18:32.990 --> 00:18:35.769
so it was it was five successive days of bike

00:18:35.769 --> 00:18:37.849
squats we weren't allowed to do more than five

00:18:37.849 --> 00:18:41.970
days each day the athletes used 80 % of their

00:18:41.970 --> 00:18:45.430
daily max so a daily max isn't the same load

00:18:45.430 --> 00:18:48.089
across the five days we had to use quite an elaborate

00:18:48.089 --> 00:18:51.880
velocity tracking approach to go, okay, well,

00:18:51.960 --> 00:18:55.480
when you're fresh on day one, how fast are you

00:18:55.480 --> 00:18:58.359
moving 80 % of your one rep max? So we tested

00:18:58.359 --> 00:19:00.160
them beforehand. What's your max? We had some

00:19:00.160 --> 00:19:02.420
very, very strong people on the study. Now let's

00:19:02.420 --> 00:19:04.799
look at how quick you can move 80%. You can move

00:19:04.799 --> 00:19:07.799
that at 0 .75 meters per second, right? That's

00:19:07.799 --> 00:19:10.599
the load you'll use on day one. Day two, what's

00:19:10.599 --> 00:19:13.480
the load that you are still moving at 0 .75 meters

00:19:13.480 --> 00:19:15.740
per second? So we're looking at daily fluctuations

00:19:15.740 --> 00:19:19.099
in fatigue. We did that. Not to be, you know,

00:19:19.099 --> 00:19:22.119
sport science -y per se, but to be cruel. To

00:19:22.119 --> 00:19:24.799
stop athletes from going, oh, today that's not

00:19:24.799 --> 00:19:27.859
80%. That feels more like a 90 % and I can only

00:19:27.859 --> 00:19:30.240
do sets of two, you know? So we were basically

00:19:30.240 --> 00:19:33.559
engineering a way for people to lift repeatedly

00:19:33.559 --> 00:19:36.740
heavy loads with lots of volume. Your protocol

00:19:36.740 --> 00:19:39.759
was designed to challenge the athletes. So you

00:19:39.759 --> 00:19:43.500
ask them to come five days a week at 80%. You

00:19:43.500 --> 00:19:46.079
measure velocity on the first day and then this

00:19:46.079 --> 00:19:50.130
velocity was... the mark for 80 % weight for

00:19:50.130 --> 00:19:53.809
each consecutive day. And they were lifting to

00:19:53.809 --> 00:19:56.250
failure. To failure. And they did five sets each

00:19:56.250 --> 00:19:58.490
day. So you can look at that two different ways

00:19:58.490 --> 00:20:00.690
and you could say, well, that's only 25 sets

00:20:00.690 --> 00:20:04.349
across a five -day period. It's not a lot. But

00:20:04.349 --> 00:20:06.089
what you need to bear in mind is that that's

00:20:06.089 --> 00:20:09.549
the same lift with no variation. And we know

00:20:09.549 --> 00:20:11.930
this from when we train to failure, we are much

00:20:11.930 --> 00:20:15.349
more likely to induce a fatigue effect, potentially

00:20:15.349 --> 00:20:18.630
soreness. So what we found was that, firstly,

00:20:18.750 --> 00:20:21.069
the load on the bar varied each day, as you would

00:20:21.069 --> 00:20:23.549
expect. It didn't necessarily get lower. There

00:20:23.549 --> 00:20:26.150
wasn't a pattern as such. But what we found was

00:20:26.150 --> 00:20:29.109
that day three was the worst day for most participants.

00:20:29.289 --> 00:20:31.190
Day three, they came in. And I think you can

00:20:31.190 --> 00:20:33.589
attach various hypotheses to this. But in my

00:20:33.589 --> 00:20:35.470
mind, what we've got is they come in on day two.

00:20:35.529 --> 00:20:37.390
How sore do you feel? And we did ask them this

00:20:37.390 --> 00:20:39.210
question. I feel quite sore, actually. Like I

00:20:39.210 --> 00:20:41.329
did five sets to failure with a heavy load on

00:20:41.329 --> 00:20:43.690
the bar. Okay. Then they come in on day three.

00:20:43.730 --> 00:20:47.339
You've got the effects of day one. still bubbling

00:20:47.339 --> 00:20:49.019
along in the background but now you've got the

00:20:49.019 --> 00:20:51.160
additional stimulus of day two so people were

00:20:51.160 --> 00:20:53.000
coming in in day three and they were not in a

00:20:53.000 --> 00:20:55.680
nice place whatsoever we even had one participant

00:20:55.680 --> 00:20:58.380
that's just said like i'm gonna get through this

00:20:58.380 --> 00:21:00.759
because it's like sunk cost fallacy i'm like

00:21:00.759 --> 00:21:02.359
i'm day three like i might as well just work

00:21:02.359 --> 00:21:04.460
through it but he was just like just don't talk

00:21:04.460 --> 00:21:06.859
to me please don't talk to me like just let me

00:21:06.859 --> 00:21:08.599
get on with it because i just psychologically

00:21:08.599 --> 00:21:11.720
i'm not in a great place mental breakdown yeah

00:21:11.720 --> 00:21:14.960
exactly and so like for me for me as a coach

00:21:14.960 --> 00:21:16.789
that's where I'd take him to one side and we'd

00:21:16.789 --> 00:21:18.390
have a discussion about, look, this is normal,

00:21:18.490 --> 00:21:20.549
but you need to trust the process that when we

00:21:20.549 --> 00:21:22.730
deload, when we tape, whatever it might be, you'll

00:21:22.730 --> 00:21:24.769
feel great. In a controlled environment as a

00:21:24.769 --> 00:21:26.490
sports scientist, I'm not allowed to lead the

00:21:26.490 --> 00:21:28.309
participants. So I was just kind of like, okay,

00:21:28.410 --> 00:21:30.349
that's fine. Anyway, get under the bar, let's

00:21:30.349 --> 00:21:34.390
lift. We even had one participant peaked the

00:21:34.390 --> 00:21:37.170
load on the bar on day five. Now I have no hypothesis

00:21:37.170 --> 00:21:39.650
for that whatsoever because that shouldn't happen

00:21:39.650 --> 00:21:42.009
based around everything we know around models

00:21:42.009 --> 00:21:45.029
of general adaptation, fitness fatigue. factor

00:21:45.029 --> 00:21:47.670
model whatever it might be but we this guy had

00:21:47.670 --> 00:21:50.190
a decent increase in load on the bar on day five

00:21:50.190 --> 00:21:52.549
now he actually lost his adaptation seven days

00:21:52.549 --> 00:21:55.349
later so That's an example there of someone where

00:21:55.349 --> 00:21:57.690
we might, and again, I'm not saying we do this

00:21:57.690 --> 00:22:00.289
in practice whatsoever, but we might start to

00:22:00.289 --> 00:22:02.789
look at that athlete as having minimal taper

00:22:02.789 --> 00:22:04.869
period because it may well be that they respond

00:22:04.869 --> 00:22:08.049
to previous days of reasonably heavy load that

00:22:08.049 --> 00:22:12.369
somehow has a potentiating effect on their performance.

00:22:12.710 --> 00:22:14.809
So that could be an example of where we don't

00:22:14.809 --> 00:22:16.849
have a long taper because clearly they lost that

00:22:16.849 --> 00:22:19.569
adaptation if it's a strength -based competition.

00:22:19.630 --> 00:22:22.650
In order to track what was happening from day

00:22:22.650 --> 00:22:24.970
to day, We asked questions like, how sore do

00:22:24.970 --> 00:22:28.009
you feel? How stressed do you feel? How recovered

00:22:28.009 --> 00:22:30.309
do you feel? The responses were just all over

00:22:30.309 --> 00:22:32.289
the place. Like there was just no pattern whatsoever.

00:22:32.470 --> 00:22:35.069
And I think that harks back to this really individual

00:22:35.069 --> 00:22:38.369
response that athletes have. We looked at jumps

00:22:38.369 --> 00:22:40.829
beforehand. Jumps were just getting worse every

00:22:40.829 --> 00:22:43.109
day for most people. So that appeared to be the

00:22:43.109 --> 00:22:45.970
most sensitive to fatigue. But we can't then

00:22:45.970 --> 00:22:48.869
go, oh, your jump has decreased by X amount.

00:22:48.990 --> 00:22:51.490
We need to just take you off the study because

00:22:51.490 --> 00:22:53.910
all of the... participants did experience an

00:22:53.910 --> 00:22:55.910
improvement in maximal strength after the taper.

00:22:56.009 --> 00:22:58.289
We looked at isometric mid -thigh pull because

00:22:58.289 --> 00:23:00.869
there seems to be a lot of discussion around

00:23:00.869 --> 00:23:03.869
how we might utilize that to track fatigue. Most

00:23:03.869 --> 00:23:06.450
people got better each day. So it seemed that

00:23:06.450 --> 00:23:09.069
the back squat protocol would potentiate in the

00:23:09.069 --> 00:23:11.710
mid -thigh pull. We know from previous literature,

00:23:11.829 --> 00:23:13.589
the mid -thigh pull, the isometric mid -thigh

00:23:13.589 --> 00:23:15.630
pull and back squat performance are not correlated

00:23:15.630 --> 00:23:18.549
very well whatsoever. So there, there could have

00:23:18.549 --> 00:23:20.609
been a bit of a fallacy, a little bit of a mistake

00:23:20.609 --> 00:23:22.859
where you went, oh. wow, these are really clearly

00:23:22.859 --> 00:23:26.319
correlated. They're not. We had discussions around

00:23:26.319 --> 00:23:29.019
whether we wanted to do an isometric squat beforehand,

00:23:29.140 --> 00:23:32.059
but this is an example about when we read a study,

00:23:32.160 --> 00:23:35.059
we only see the outcome. We don't see what discussions

00:23:35.059 --> 00:23:37.200
and problems were encountered along the way.

00:23:37.279 --> 00:23:39.240
And one of the issues that we found was that

00:23:39.240 --> 00:23:41.799
some participants... we're experiencing a lot

00:23:41.799 --> 00:23:43.859
of dons in their traps because they've got a

00:23:43.859 --> 00:23:46.720
heavy load on their bike repeatedly. So yeah,

00:23:46.779 --> 00:23:48.980
we care about how sore are their quads. We care

00:23:48.980 --> 00:23:51.559
about how sore is their lower back. But most

00:23:51.559 --> 00:23:53.640
athletes were saying, it's my traps that are

00:23:53.640 --> 00:23:56.339
really, really sore. So now you're going, okay,

00:23:56.480 --> 00:23:59.059
well, I want you to do an isometric squat. I

00:23:59.059 --> 00:24:01.119
want you to push against this bar with your traps

00:24:01.119 --> 00:24:03.079
as hard as possible. It's not going to happen.

00:24:03.180 --> 00:24:04.680
And all that's going to happen there is you risk

00:24:04.680 --> 00:24:06.940
athletes from dropping out of the study. So the

00:24:06.940 --> 00:24:09.299
decision we made was not, we feel the isometric

00:24:09.299 --> 00:24:11.920
mid -thigh pull. is the best exercise or sorry,

00:24:11.980 --> 00:24:14.539
the best test to monitor fatigue. It's the best

00:24:14.539 --> 00:24:18.119
that we've got with the logistical issues removed.

00:24:18.380 --> 00:24:21.400
And that to me was a big, because the study was

00:24:21.400 --> 00:24:24.039
potentially so risky, that to me was how do we

00:24:24.039 --> 00:24:26.319
remove risk as much as possible? Now, we had

00:24:26.319 --> 00:24:28.559
no participants drop out. Unsurprisingly, we

00:24:28.559 --> 00:24:30.680
had a small number of participants opt in. And

00:24:30.680 --> 00:24:33.339
I'm using the word athlete quite a lot. None

00:24:33.339 --> 00:24:36.000
of them were competitive athletes. For me. The

00:24:36.000 --> 00:24:38.940
biggest risk factor was this might affect your

00:24:38.940 --> 00:24:41.400
competitive season. Like we might put you in

00:24:41.400 --> 00:24:43.859
such a bad state that you have to drop out from

00:24:43.859 --> 00:24:46.420
all competitions within that competition period.

00:24:46.640 --> 00:24:48.980
So anyone that was a competitive athlete, I went,

00:24:48.980 --> 00:24:50.940
you're not coming on the study. So I'm using

00:24:50.940 --> 00:24:53.160
the term athlete loosely, but they were well

00:24:53.160 --> 00:24:56.119
-trained individuals. So the average back squat,

00:24:56.240 --> 00:24:59.019
one rep max. was double body weight and i think

00:24:59.019 --> 00:25:01.619
that's reasonably strong so that that was the

00:25:01.619 --> 00:25:05.220
protocol the conclusion the end point was back

00:25:05.220 --> 00:25:07.220
to what i said earlier about there had only really

00:25:07.220 --> 00:25:09.359
been one study before this one that had looked

00:25:09.359 --> 00:25:11.920
at tracking maximal strength across a period

00:25:11.920 --> 00:25:13.779
of time so i said okay well what we're going

00:25:13.779 --> 00:25:15.200
to do is we're going to measure them seven days

00:25:15.200 --> 00:25:17.980
after the protocol we gave them like a stock

00:25:17.980 --> 00:25:20.980
taper program it was just a very basic step taper

00:25:20.980 --> 00:25:23.279
um you can go back to normal training but you've

00:25:23.279 --> 00:25:25.619
got to follow this exercise selection and these

00:25:25.619 --> 00:25:28.519
kind of like loading parameters to standardize

00:25:28.519 --> 00:25:30.880
it, every single participant had improved one

00:25:30.880 --> 00:25:33.960
rep max at seven days. And I can't say significantly

00:25:33.960 --> 00:25:35.900
because we didn't use inferential statistics

00:25:35.900 --> 00:25:38.640
because it was a pilot study. And there are big

00:25:38.640 --> 00:25:41.019
problems by using inferential stats when you've

00:25:41.019 --> 00:25:42.940
got small sample sizes. We had, I think it was

00:25:42.940 --> 00:25:46.240
10, eight participants. So we just reported descriptive

00:25:46.240 --> 00:25:48.960
characteristics, but we use smallest worthwhile

00:25:48.960 --> 00:25:51.920
change to say, actually, from a coach's perspective,

00:25:52.140 --> 00:25:54.779
is this practically meaningful? Every single

00:25:54.779 --> 00:25:57.009
participant had... improve their one red mics

00:25:57.009 --> 00:26:00.470
to a meaningful level so we go okay that's functional

00:26:00.470 --> 00:26:03.769
overreaching but really we can't call it functional

00:26:03.769 --> 00:26:06.289
overreaching because we didn't test them immediately

00:26:06.289 --> 00:26:09.049
post and at seven days so we didn't experience

00:26:09.049 --> 00:26:12.309
the lag effect i don't care if i'm being honest

00:26:12.309 --> 00:26:14.829
at this point i don't care what labels we attach

00:26:14.829 --> 00:26:17.390
to it they got better As a coach, that's all

00:26:17.390 --> 00:26:20.069
I care about. We then tested them at 14 days,

00:26:20.109 --> 00:26:22.829
so another seven days afterwards. Most participants

00:26:22.829 --> 00:26:25.609
experienced another increase in strength. It

00:26:25.609 --> 00:26:27.549
didn't surpass the smallest worthwhile change,

00:26:27.690 --> 00:26:30.250
but it's still important in my eyes if an athlete's

00:26:30.250 --> 00:26:32.390
adding on an extra two or three kilos on the

00:26:32.390 --> 00:26:34.569
bar. If they're a powerlifter, for example, two

00:26:34.569 --> 00:26:36.329
or three kilos might be the difference between

00:26:36.329 --> 00:26:38.650
finishing first and finishing fourth, potentially.

00:26:38.789 --> 00:26:41.329
Some participants have returned back to baseline,

00:26:41.490 --> 00:26:43.490
so they'd not been able to retain that strength

00:26:43.490 --> 00:26:46.089
adaptation. Now, I think of it like... this what

00:26:46.089 --> 00:26:49.029
if i'd not tested them at seven days and tested

00:26:49.029 --> 00:26:52.109
them at 14 days those participants that are returned

00:26:52.109 --> 00:26:54.450
back to baseline we could say they're non -functionally

00:26:54.450 --> 00:26:56.529
overreached because we've not seen an improvement

00:26:56.529 --> 00:26:58.450
in performance but because we tested them at

00:26:58.450 --> 00:27:00.509
seven days we did see an improvement in performance

00:27:00.509 --> 00:27:02.769
they just couldn't retain it for much longer

00:27:02.769 --> 00:27:04.450
so they functionally overreach but then they

00:27:04.450 --> 00:27:05.910
lost it again so it comes back to this kind of

00:27:05.910 --> 00:27:09.009
like really individual super compensation kinetics

00:27:09.009 --> 00:27:11.450
effect that to me is where my research will go

00:27:11.450 --> 00:27:13.809
next is why why does that happen why do some

00:27:13.809 --> 00:27:16.859
people experiences a large magnitude of performance

00:27:16.859 --> 00:27:19.420
increase and can retain it for a while, whereas

00:27:19.420 --> 00:27:21.380
others will just decrease back. Why do others

00:27:21.380 --> 00:27:24.299
not experience an increase? Why has one participant,

00:27:24.400 --> 00:27:27.579
after five days of heavy bike squats, only seen

00:27:27.579 --> 00:27:30.000
a two kilo increase in one rep max? And then

00:27:30.000 --> 00:27:32.440
you go, was it worth it? Probably not. But for

00:27:32.440 --> 00:27:34.579
those participants that experienced 10 kilos

00:27:34.579 --> 00:27:37.039
on the bar, that's huge. But why did they lose

00:27:37.039 --> 00:27:39.619
it seven days later? What could we do to either

00:27:39.619 --> 00:27:41.859
retain it if we feel we need to retain it? Maybe

00:27:41.859 --> 00:27:43.279
they've got a couple of competitions in quick

00:27:43.279 --> 00:27:46.339
succession. Or how do we then go, right, what

00:27:46.339 --> 00:27:48.920
do we do with your deload or your taper? I'm

00:27:48.920 --> 00:27:51.019
using those words specifically because a taper

00:27:51.019 --> 00:27:53.539
would be leading up to competition. The deload

00:27:53.539 --> 00:27:55.359
would be leading into another block of training.

00:27:55.519 --> 00:27:58.039
How do we now engineer your training where we

00:27:58.039 --> 00:28:00.119
don't just focus on the overreach, but we focus

00:28:00.119 --> 00:28:01.940
on the relationship between the overreach and

00:28:01.940 --> 00:28:05.059
the deload or taper? So whilst we could look

00:28:05.059 --> 00:28:07.299
at this study and go, well, you didn't use inferential

00:28:07.299 --> 00:28:10.319
statistics and you had a small sample size. I

00:28:10.319 --> 00:28:12.859
tell you, please, please, if anyone wants to

00:28:12.859 --> 00:28:14.359
question. that they can come on board and be

00:28:14.359 --> 00:28:16.539
my head of recruitment because we were recruited

00:28:16.539 --> 00:28:18.559
for a year and participants were just going,

00:28:18.720 --> 00:28:20.440
oh, I'd like to take part in the study. Tell

00:28:20.440 --> 00:28:23.519
me more. No, I don't want to. Why would they?

00:28:23.640 --> 00:28:27.519
Why would they? Yeah. We had a very specific

00:28:27.519 --> 00:28:30.279
personality of participants wanted to do this

00:28:30.279 --> 00:28:32.619
study. Did you have any females participating?

00:28:33.339 --> 00:28:36.359
We didn't. But to be honest, that was intentional.

00:28:36.519 --> 00:28:38.200
And the reason why it was intentional was because

00:28:38.200 --> 00:28:40.359
the whole study was a four -week period. So what

00:28:40.359 --> 00:28:44.130
I was conscious of. was that then we would have

00:28:44.130 --> 00:28:46.430
to start each female at the same point of their

00:28:46.430 --> 00:28:49.589
menstrual cycle that could be problematic so

00:28:49.589 --> 00:28:53.490
i in my other research will do research on the

00:28:53.490 --> 00:28:56.190
menstrual cycle with female athletes and i and

00:28:56.190 --> 00:28:59.009
i hated that i needed to dismiss females from

00:28:59.009 --> 00:29:02.069
this study we have actually got we've finished

00:29:02.069 --> 00:29:04.069
collecting data now we've got a similar -ish

00:29:04.069 --> 00:29:06.650
study where we include females as well but for

00:29:06.650 --> 00:29:09.390
this pilot study we wanted to try and remove

00:29:09.390 --> 00:29:12.089
as many unnecessary working parts as possible

00:29:12.089 --> 00:29:13.589
that seems that as i said that by now sounds

00:29:13.589 --> 00:29:16.569
absolutely awful but it's the reality of a controlled

00:29:16.569 --> 00:29:19.029
environment study males are very very simple

00:29:19.029 --> 00:29:21.150
testosterone is going like this over a period

00:29:21.150 --> 00:29:23.690
of time and but because we didn't do this in

00:29:23.690 --> 00:29:25.190
the end but the original study was going to be

00:29:25.190 --> 00:29:27.390
using blood markers as well it was going to be

00:29:27.390 --> 00:29:29.609
very very problematic to have females on and

00:29:29.609 --> 00:29:33.049
going we need to now find a reliable way to track

00:29:33.049 --> 00:29:36.569
where you are in your cycle standardize it knowing

00:29:36.569 --> 00:29:39.109
that cycles are not standardized between athletes

00:29:39.109 --> 00:29:41.480
and with the same athlete over period of cycles

00:29:41.480 --> 00:29:45.220
in itself, it was just easier for us to go. let's

00:29:45.220 --> 00:29:48.160
just use the guys for this study. But then like

00:29:48.160 --> 00:29:50.660
a pilot study should do, look at the results

00:29:50.660 --> 00:29:53.240
and go, does this need refining before we then

00:29:53.240 --> 00:29:55.480
apply it in a randomized control trial fashion?

00:29:55.779 --> 00:29:58.160
That will eventually at some point be the next

00:29:58.160 --> 00:30:01.240
stage of this. But I think that the pilot achieved

00:30:01.240 --> 00:30:03.380
what it wanted to achieve. I have a question

00:30:03.380 --> 00:30:08.000
on the smallest worthwhile difference. How did

00:30:08.000 --> 00:30:10.740
you go about that? The calculation for that is

00:30:10.740 --> 00:30:13.140
actually really simple. It's 0 .2 multiplied

00:30:13.140 --> 00:30:15.920
by the standard. deviation score for the sample

00:30:15.920 --> 00:30:18.500
and there are yeah there's no clever statistics

00:30:18.500 --> 00:30:20.519
or anything like that it's something that coaches

00:30:20.519 --> 00:30:23.819
are using more and more now to identify with

00:30:23.819 --> 00:30:26.099
different outcome measures what is practically

00:30:26.099 --> 00:30:29.099
meaningful now the more data we've got the better

00:30:29.099 --> 00:30:31.200
that calculation will be because it's effectively

00:30:31.200 --> 00:30:33.779
working on the standard deviation but we we had

00:30:33.779 --> 00:30:37.119
quite a heterogeneous pool of participants our

00:30:37.119 --> 00:30:39.779
inclusion criteria was quite robust so for example

00:30:39.779 --> 00:30:41.960
you couldn't come on the study unless you could

00:30:41.960 --> 00:30:44.259
score 1 .5 times your own body mass that was

00:30:44.259 --> 00:30:46.859
like the minimum threshold there was a minimum

00:30:46.859 --> 00:30:49.079
number of years you must have trained and so

00:30:49.079 --> 00:30:52.059
we we had although it was a small sample almost

00:30:52.059 --> 00:30:54.859
hesitant to say clones but very very similar

00:30:54.859 --> 00:30:57.960
people and there are a lot of really good videos

00:30:57.960 --> 00:31:00.240
on youtube about how to calculate small if worthwhile

00:31:00.240 --> 00:31:03.299
change for coaches and we use that for setting

00:31:03.299 --> 00:31:06.440
targets for athletes as well so we've we've tracked

00:31:06.440 --> 00:31:09.059
you as an individual athlete across a period

00:31:09.059 --> 00:31:12.019
of time for us to see a meaningful improvement

00:31:12.019 --> 00:31:14.519
so not just like a daily fluctuation or measurement

00:31:14.519 --> 00:31:17.220
error we need you to improve this particular

00:31:17.220 --> 00:31:21.619
metric jump pull push by x percent or by x kilos

00:31:21.619 --> 00:31:23.460
we calculated our smallest worthwhile change

00:31:23.460 --> 00:31:27.259
at six kilos so if our athletes at seven days

00:31:27.259 --> 00:31:29.880
were to improve their one rep max by six kilos

00:31:29.880 --> 00:31:31.579
that's smallest worthwhile change but we can

00:31:31.579 --> 00:31:33.339
also do it on a group level as well so you can

00:31:33.339 --> 00:31:35.480
do it by individual level athlete or you can

00:31:35.480 --> 00:31:38.339
do it by group level athlete as well so did you

00:31:38.339 --> 00:31:41.880
say all the athletes crossed this threshold at

00:31:41.880 --> 00:31:45.200
seven days yeah every athlete had or no sorry

00:31:45.200 --> 00:31:47.039
i beg your pardon all but one there was that

00:31:47.039 --> 00:31:49.180
one athlete that only got a two all right day

00:31:49.180 --> 00:31:52.119
five and then yeah but see this this is really

00:31:52.119 --> 00:31:54.440
interesting though because we've got some athletes

00:31:54.440 --> 00:31:57.859
that had increased by 10 kilos i think 12 kilos

00:31:57.859 --> 00:32:00.859
was the greatest increase i think the the athlete

00:32:00.859 --> 00:32:04.279
that increased by two kilos was absolutely delighted

00:32:04.279 --> 00:32:06.920
and and you kind of just go yeah but that wasn't

00:32:06.920 --> 00:32:09.119
practically meaningful but this was an athlete

00:32:09.440 --> 00:32:12.500
that had competed in weightlifting at a reasonably

00:32:12.500 --> 00:32:15.599
high level, was a very, very strong guy and had

00:32:15.599 --> 00:32:18.480
been trying to improve his bike squat. for months

00:32:18.480 --> 00:32:20.799
and months and months and it just wasn't happening.

00:32:20.880 --> 00:32:23.079
That two kilo increase for him was just mind

00:32:23.079 --> 00:32:25.099
-blowing. I've never seen someone so happy. I

00:32:25.099 --> 00:32:26.799
didn't want to crush him by going, yeah, that's

00:32:26.799 --> 00:32:29.140
only two kilos. Who am I to do that? But then

00:32:29.140 --> 00:32:30.859
the other athletes that were improving by 10

00:32:30.859 --> 00:32:33.380
kilos, you go, no, you've got 10 kilos on the

00:32:33.380 --> 00:32:34.779
bar. And I'm like, yeah, cool. I'm happy with

00:32:34.779 --> 00:32:37.000
that. So it was like, there's such a disconnect

00:32:37.000 --> 00:32:39.799
between, again, this metric of smallest worthwhile

00:32:39.799 --> 00:32:43.180
change, but then the athlete is an actual human

00:32:43.180 --> 00:32:45.740
being and their background is a strength trainer

00:32:45.740 --> 00:32:47.920
as well. Yes, we need to... be data driven to

00:32:47.920 --> 00:32:49.900
understand what's happening but as a coach we

00:32:49.900 --> 00:32:53.359
don't rely wholeheartedly on one data point to

00:32:53.359 --> 00:32:56.619
dictate what we do i think You raised an important

00:32:56.619 --> 00:32:58.680
point there about if we were to add two kilos

00:32:58.680 --> 00:33:01.059
on one of the three lifts in powerlifting. One

00:33:01.059 --> 00:33:03.119
of the reasons why I'm saying we wouldn't follow

00:33:03.119 --> 00:33:05.579
this protocol in the real world is because we

00:33:05.579 --> 00:33:08.119
removed all training from the program other than

00:33:08.119 --> 00:33:10.220
the bike squat because we wanted to make it as

00:33:10.220 --> 00:33:13.000
monotonous as possible, but also to remove peripheral

00:33:13.000 --> 00:33:15.940
things that we couldn't control. So for example,

00:33:16.079 --> 00:33:19.099
you know, we've got 10 athletes and five of them

00:33:19.099 --> 00:33:21.980
are only doing my protocol and then five of them

00:33:21.980 --> 00:33:23.900
are going to the gym in the evening and training

00:33:23.900 --> 00:33:26.759
arms. or bench pressing, that's still additional

00:33:26.759 --> 00:33:29.279
training load that we would need to factor in.

00:33:29.359 --> 00:33:31.519
So for us, in that controlled environment, it

00:33:31.519 --> 00:33:33.619
was easy to just go, please don't train. And

00:33:33.619 --> 00:33:35.700
again, that... is one of the issues when you

00:33:35.700 --> 00:33:38.220
recruit high -level athletes for training studies

00:33:38.220 --> 00:33:40.500
is you're telling them to stop doing what they

00:33:40.500 --> 00:33:42.440
do every day. I want you to come and I want you

00:33:42.440 --> 00:33:44.839
to take part in this study. We've no guaranteed

00:33:44.839 --> 00:33:47.000
outcome of getting better. It might even get

00:33:47.000 --> 00:33:48.799
worse, but you've got to stop doing your normal

00:33:48.799 --> 00:33:50.420
training. And they go, well, I can't do that

00:33:50.420 --> 00:33:51.940
because I've got competition coming up in a few

00:33:51.940 --> 00:33:54.700
months' time. Why would I do that for you? So

00:33:54.700 --> 00:33:57.480
as a sports scientist, we ask a lot from high

00:33:57.480 --> 00:33:59.980
-level athletes. And that's why when you look

00:33:59.980 --> 00:34:02.759
at most studies that are using competitive athletes,

00:34:03.059 --> 00:34:05.680
their observation... So for me as a sports scientist,

00:34:05.799 --> 00:34:08.420
I go in and I watch what's happening and I record

00:34:08.420 --> 00:34:12.019
some of the results, not me going in to an Olympic

00:34:12.019 --> 00:34:14.340
level athlete and going, I just kind of want

00:34:14.340 --> 00:34:16.059
to fuck about and find out because the athlete

00:34:16.059 --> 00:34:17.840
and the coach will go, why would you do that?

00:34:18.039 --> 00:34:21.219
If I win a gold medal, that will change my life.

00:34:21.340 --> 00:34:23.440
The sponsorship money alone will change my life.

00:34:23.539 --> 00:34:25.760
Why would I do your study that will potentially

00:34:25.760 --> 00:34:28.420
ruin my season or even career? And this is the

00:34:28.420 --> 00:34:30.860
problem that we have in some of the higher level

00:34:30.860 --> 00:34:33.739
kind of studies in terms of recruitment. I agree.

00:34:33.920 --> 00:34:36.800
Would you bring it together in some kind of conclusions

00:34:36.800 --> 00:34:39.639
for coaches, what they could and should take

00:34:39.639 --> 00:34:42.460
from the study? I think there's a level of pragmatism

00:34:42.460 --> 00:34:45.579
that coaches can utilize from the findings of

00:34:45.579 --> 00:34:48.659
my research in its total, not necessarily the

00:34:48.659 --> 00:34:52.039
pilot. The reason why I said pragmatic is I think

00:34:52.039 --> 00:34:54.440
now there is a lot of stigma attached to this

00:34:54.440 --> 00:34:57.320
big term overtraining and we can unnecessarily

00:34:57.320 --> 00:35:00.739
worry about it. And I feel like I'm almost being

00:35:00.739 --> 00:35:02.360
condescending because again, I've already mentioned

00:35:02.360 --> 00:35:04.050
a few. times coaches were already doing this

00:35:04.050 --> 00:35:06.469
but just because an athlete is reporting that

00:35:06.469 --> 00:35:09.309
they're fatigued and that they feel sore or that

00:35:09.309 --> 00:35:11.110
maybe they're bored with the training program

00:35:11.110 --> 00:35:13.670
doesn't mean that we automatically have to stop

00:35:13.670 --> 00:35:16.789
and pivot and deload if they are in a training

00:35:16.789 --> 00:35:19.730
block where we have a window of opportunity we

00:35:19.730 --> 00:35:21.730
might not get many across the season a window

00:35:21.730 --> 00:35:24.670
of opportunity to layer on as much stimulus as

00:35:24.670 --> 00:35:27.530
possible the unfortunate reality of that is you

00:35:27.530 --> 00:35:30.349
will feel tired you will feel sore but we know

00:35:30.349 --> 00:35:33.519
this from practice practitioner experience. We

00:35:33.519 --> 00:35:35.360
know there's actually some really cool research

00:35:35.360 --> 00:35:38.539
out there from, in particular, someone that I'm

00:35:38.539 --> 00:35:40.840
doing some work with now, Ketchy Anya Dakey Danes,

00:35:40.840 --> 00:35:44.230
has done a lot about how the coach... can steer

00:35:44.230 --> 00:35:46.889
the adaptations and you go well how how do they

00:35:46.889 --> 00:35:48.949
do that and it's the relationship between the

00:35:48.949 --> 00:35:50.949
coach and the athlete so let's say that i'm working

00:35:50.949 --> 00:35:53.349
with two athletes i'm really paraphrasing catchy

00:35:53.349 --> 00:35:56.050
research here but with one athlete i go we're

00:35:56.050 --> 00:35:58.309
going to do a two -week block and you're going

00:35:58.309 --> 00:35:59.650
to be doing a lot of volume you're going to be

00:35:59.650 --> 00:36:01.809
doing a lot of high intensity work you are going

00:36:01.809 --> 00:36:03.989
to feel sore and you're not going to find this

00:36:03.989 --> 00:36:06.449
experience pleasant i know based on my knowledge

00:36:06.449 --> 00:36:08.550
of physiology of strength and conditioning of

00:36:08.550 --> 00:36:10.809
having done this before with other athletes that

00:36:10.809 --> 00:36:12.909
when we get to the end of it and we ramp every

00:36:12.969 --> 00:36:15.250
everything down you will be cruising you will

00:36:15.250 --> 00:36:18.150
absolutely fly you need to have that trust in

00:36:18.150 --> 00:36:19.889
me right then we've got another athlete and we

00:36:19.889 --> 00:36:22.139
go I'm going to try this 14 -day block. It's

00:36:22.139 --> 00:36:23.639
going to be tough. I saw it on the internet and

00:36:23.639 --> 00:36:25.039
I have no idea what's going to happen. You might

00:36:25.039 --> 00:36:26.980
get injured. Anyway, let's do it, right? Who

00:36:26.980 --> 00:36:28.500
do you think is going to get better? Who do you

00:36:28.500 --> 00:36:30.780
think has got more chance of positively adapting?

00:36:31.000 --> 00:36:32.420
It's going to be the first athlete. We've got

00:36:32.420 --> 00:36:35.340
trust. They know the process. There's no unnecessary

00:36:35.340 --> 00:36:38.139
stress about, oh, what's happening? Am I going

00:36:38.139 --> 00:36:40.119
to get injured? Am I going to get hurt? So hashtag

00:36:40.119 --> 00:36:41.940
overtraining on Instagram. It says I'm going

00:36:41.940 --> 00:36:46.139
to be broken. And we as a coach have a very powerful

00:36:46.139 --> 00:36:48.599
position of steering the adaptations. Now, that

00:36:48.599 --> 00:36:49.940
doesn't mean that we can give... someone in a

00:36:49.940 --> 00:36:52.460
really bad program and go this will still be

00:36:52.460 --> 00:36:54.420
favorable and they'll get better we still need

00:36:54.420 --> 00:36:56.320
to obviously use a common sense approach but

00:36:56.320 --> 00:37:00.519
for me it all comes down to the coaches is one

00:37:00.519 --> 00:37:02.940
of if not the most important players in this

00:37:02.940 --> 00:37:05.260
whole game one because they prescribe the training

00:37:05.260 --> 00:37:08.219
but two because they can control the relationship

00:37:08.219 --> 00:37:10.780
with and it's reciprocal but they can leverage

00:37:10.780 --> 00:37:13.340
the relationship with the athlete to at least

00:37:13.340 --> 00:37:15.719
give them an understanding of why they are doing

00:37:15.719 --> 00:37:18.300
an impact cycle and also when athlete is involved

00:37:18.860 --> 00:37:22.340
they apply themselves differently to the plan.

00:37:22.559 --> 00:37:26.619
So if you want this hard stimulus to be applied,

00:37:26.880 --> 00:37:28.960
they actually have to do the work. So they have

00:37:28.960 --> 00:37:32.579
to give their best to make it impactful. Absolutely

00:37:32.579 --> 00:37:34.940
correct. I'm a big fan of a constraints -led

00:37:34.940 --> 00:37:37.360
approach to programming. And what I mean by that

00:37:37.360 --> 00:37:40.019
is that I try to get the athlete as involved

00:37:40.019 --> 00:37:43.800
as possible in the programming, organizing the

00:37:43.800 --> 00:37:45.719
building blocks of the program. What would be

00:37:45.719 --> 00:37:48.840
your key message for coaches? I think in all

00:37:48.840 --> 00:37:50.980
honesty, I've probably answered that in the sense

00:37:50.980 --> 00:37:53.639
of being pragmatic. So understanding that, you

00:37:53.639 --> 00:37:55.980
know, within context of where we are within the

00:37:55.980 --> 00:37:58.260
training program, the reality is that some athletes

00:37:58.260 --> 00:38:01.300
will be tired and they will be sore at some point

00:38:01.300 --> 00:38:03.559
if we are to induce an effect and adaptation.

00:38:04.019 --> 00:38:06.320
Sometimes we can immediately worry about that

00:38:06.320 --> 00:38:08.719
and we scale training back. But as we've seen

00:38:08.719 --> 00:38:10.739
from the pilot and the discussion that I had

00:38:10.739 --> 00:38:12.340
about some of the other literature and experience

00:38:12.340 --> 00:38:15.219
as a coach, is that if we push through it and

00:38:15.219 --> 00:38:17.610
we understand that is part of the program. process

00:38:17.610 --> 00:38:20.250
oftentimes we will see a favorable outcome it's

00:38:20.250 --> 00:38:22.230
just about understanding the athlete it's about

00:38:22.230 --> 00:38:24.449
understanding the adaptation it's about understanding

00:38:24.449 --> 00:38:27.110
the time course to peak and if we can do that

00:38:27.110 --> 00:38:29.769
as a coach we're absolutely loving life all right

00:38:29.769 --> 00:38:32.090
two short questions to finish the first one is

00:38:32.090 --> 00:38:34.909
what is your favorite lift favorite lift um as

00:38:34.909 --> 00:38:38.570
as an snc coach probably feel semi -pressured

00:38:38.570 --> 00:38:40.969
to say the bike squat because we know that the

00:38:40.969 --> 00:38:43.929
bike squat has got the most transferability to

00:38:43.929 --> 00:38:45.710
performance. And we can do the most with it.

00:38:45.750 --> 00:38:47.510
We can load it in different ways. We can use

00:38:47.510 --> 00:38:49.610
different velocities and we can chase all number

00:38:49.610 --> 00:38:52.349
of outcomes from jumping to being able to run

00:38:52.349 --> 00:38:54.530
faster, to being stronger, to gaining muscle

00:38:54.530 --> 00:38:56.909
mass. I'll be honest, right? I'm going to go

00:38:56.909 --> 00:38:58.730
with preacher curl because I just don't think

00:38:58.730 --> 00:39:01.550
there's any shame in training arms. And I'm not

00:39:01.550 --> 00:39:03.309
going to justify any more than that. That's what

00:39:03.309 --> 00:39:05.349
I'm going to go with. I respect that. It's accepted.

00:39:05.510 --> 00:39:08.539
All right. people can find you online if they

00:39:08.539 --> 00:39:11.559
want to follow your work or even contact you

00:39:11.559 --> 00:39:14.360
or ask a question? Probably Instagram. So my

00:39:14.360 --> 00:39:19.769
handle is Lee, so L -E -E -3. E -L -L. I'm not

00:39:19.769 --> 00:39:22.329
very active on social media. I tend to share,

00:39:22.369 --> 00:39:24.409
if I get a study published, I'll share something

00:39:24.409 --> 00:39:26.170
on there, but it's probably where I have most

00:39:26.170 --> 00:39:29.409
conversations in kind of like direct private

00:39:29.409 --> 00:39:32.510
messages with coaches and with people in general.

00:39:32.650 --> 00:39:35.489
So anyone is welcome to drop me a message and

00:39:35.489 --> 00:39:37.869
I'll always respond given time. Other than that,

00:39:38.050 --> 00:39:40.590
you know, I'm on LinkedIn, I'm on ResearchGate.

00:39:40.670 --> 00:39:43.130
Similarly, I don't tend to post a great deal,

00:39:43.250 --> 00:39:45.570
but I'm always contactable. Awesome. Thank you

00:39:45.570 --> 00:39:48.110
so much for today. My pleasure. Thank you. Thank

00:39:48.110 --> 00:39:48.230
you.
