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Autonomic adaptations to intensive and overload training periods: a

laboratory study.

Pichot V, Busso T, Roche F, Garet M, Costes F, Duverney D, Lacour JR,

Barthelemy JC.

Laboratorie de Physiologie, GIP E2S, Universite de Saint-Etienne, France.

.Pichot@...

PURPOSE: Looking for practical and reliable markers of fatigue is of

particular interest in elite sports. One possible marker might be the

autonomic nervous system activity, known to be well affected by physical

exercise and that can be easily assessed by heart rate variability. METHODS:

We designed a laboratory study to follow six sedentary subjects (32.7 +/-

5.0 yr) going successively through 2 months of intensive physical training

and 1 month of overload training on cycloergometer followed by 2 wk of

recovery. Maximal power output over 5 min (Plim5'), VO(2) and standard

indices of heart rate variability were monitored all along the protocol.

RESULTS: During the intensive training period, physical performance

increased significantly VO(2peak) : +20.2%, < 0.01; Plim5': +26.4%, <

0.0001) as well as most of the indices of heart rate variability (mean RR,

Ptot, HF, rMSSD, pNN50, SDNNIDX, SDNN, all < 0.05) with a significant shift

in the autonomic nervous system toward a predominance of its parasympathetic

arm (LF/HF, LFnu, HFnu, < 0.01). During the overload training period, there

was a stagnation of the parasympathetic indices associated to a progressive

increase in sympathetic activity (LF/HF, < 0.05). During the week of

recovery, there was a sudden significant rebound of the parasympathetic

activity (mean RR, HF, pNN50, rMSSD, all < 0.05). After 7 wk of recovery,

all heart rate variability indices tended to return to the prestudy values.

CONCLUSION: Autonomic nervous system status depends on cumulated physical

fatigue due to increased training loads. Therefore, heart rate variability

analysis appears to be an appropriate tool to monitor the effects of

physical training loads on performance and fitness, and could eventually be

used to prevent overtraining states.

The effects of detraining on power athletes.

Hortobagyi T, Houmard JA, son JR, Fraser DD, s RA, Israel RG.

Human Performance Laboratory, East Carolina University, Greenville, NC

27858.

We investigated the effects of 14 d of resistive exercise detraining on 12

power athletes. In comparing performances pre- to post-detraining, there

were no significant (P > 0.05) changes in free weight bench press (-1.7%),

parallel squat (-0.9%), isometric (-7%) and isokinetic concentric knee

extension force (-2.3%), and vertical jumping (1.2%). In contrast,

isokinetic eccentric knee extension force decreased in every subject (-12%,

P < 0.05). Post-detraining, the changes in surface EMG activity of the

vastus lateralis during isometric, and isokinetic eccentric and concentric

knee extension were -8.4%, -10.1%, and -12.7%, respectively (all P > 0.05).

No significant changes occurred in knee flexion forces or EMGs (P > 0.05).

Percentages of muscle fiber types and the Type I fiber area remained

unchanged, but Type II fiber area decreased significantly by -6.4% (P <

0.05). Levels of plasma growth hormone (58.3%), testosterone (19.2%), and

the testosterone to cortisol ratio (67.6%) increased, whereas plasma

cortisol (-21.5%) and creatine kinase enzyme levels (-82.3%) decreased (all

P < 0.05). Short-term resistive exercise detraining may thus specifically

affect eccentric strength or the size of the Type II muscle fibers, leaving

other aspects of neuromuscular performance uninfluenced. Changes in the

hormonal milieu during detraining may be conducive to an enhanced anabolic

process, but such changes may not materialize at the tissue level in the

absence of the overload training stimulus.

Baggett

Arkansas

USA

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" CONCLUSION: Autonomic nervous system status depends on cumulated physical

fatigue due to increased training loads. Therefore, heart rate variability

analysis appears to be an appropriate tool to monitor the effects of

physical training loads on performance and fitness, and could eventually be

used to prevent overtraining states. "

It " could eventually " be used to prevent overtraining states? This looks

like a very well done study but these researchers might want to do a little

more research to find that HRV is already being used by many people today to

prevent overtraining and manage the organization of training by many

professional sports organizations and universities around the world, and I

use it everyday myself with my athletes.

England's National Rugby Team recently won the World Cup Championship (a

game it hadn't been to in 12 years) and Stanford's men's and women's cross

country teams both won NCAA National Championships. All of these teams

currently use HRV to monitor their athletes to prevent overtraining and

manage training effects. HRV monitoring is an extremely powerful tool for

monitoring the effects of training and will likely become more well known

and utilized in the years to come as more people become aware of its

abilities and potential

- son CSCS

EndZone Athletics Director

Kirkland WA

re: neural recovery

Autonomic adaptations to intensive and overload training periods: a

laboratory study.

Pichot V, Busso T, Roche F, Garet M, Costes F, Duverney D, Lacour JR,

Barthelemy JC.

Laboratorie de Physiologie, GIP E2S, Universite de Saint-Etienne, France.

.Pichot@...

PURPOSE: Looking for practical and reliable markers of fatigue is of

particular interest in elite sports. One possible marker might be the

autonomic nervous system activity, known to be well affected by physical

exercise and that can be easily assessed by heart rate variability. METHODS:

We designed a laboratory study to follow six sedentary subjects (32.7 +/-

5.0 yr) going successively through 2 months of intensive physical training

and 1 month of overload training on cycloergometer followed by 2 wk of

recovery. Maximal power output over 5 min (Plim5'), VO(2) and standard

indices of heart rate variability were monitored all along the protocol.

RESULTS: During the intensive training period, physical performance

increased significantly VO(2peak) : +20.2%, < 0.01; Plim5': +26.4%, <

0.0001) as well as most of the indices of heart rate variability (mean RR,

Ptot, HF, rMSSD, pNN50, SDNNIDX, SDNN, all < 0.05) with a significant shift

in the autonomic nervous system toward a predominance of its parasympathetic

arm (LF/HF, LFnu, HFnu, < 0.01). During the overload training period, there

was a stagnation of the parasympathetic indices associated to a progressive

increase in sympathetic activity (LF/HF, < 0.05). During the week of

recovery, there was a sudden significant rebound of the parasympathetic

activity (mean RR, HF, pNN50, rMSSD, all < 0.05). After 7 wk of recovery,

all heart rate variability indices tended to return to the prestudy values.

CONCLUSION: Autonomic nervous system status depends on cumulated physical

fatigue due to increased training loads. Therefore, heart rate variability

analysis appears to be an appropriate tool to monitor the effects of

physical training loads on performance and fitness, and could eventually be

used to prevent overtraining states.

The effects of detraining on power athletes.

Hortobagyi T, Houmard JA, son JR, Fraser DD, s RA, Israel RG.

Human Performance Laboratory, East Carolina University, Greenville, NC

27858.

We investigated the effects of 14 d of resistive exercise detraining on 12

power athletes. In comparing performances pre- to post-detraining, there

were no significant (P > 0.05) changes in free weight bench press (-1.7%),

parallel squat (-0.9%), isometric (-7%) and isokinetic concentric knee

extension force (-2.3%), and vertical jumping (1.2%). In contrast,

isokinetic eccentric knee extension force decreased in every subject (-12%,

P < 0.05). Post-detraining, the changes in surface EMG activity of the

vastus lateralis during isometric, and isokinetic eccentric and concentric

knee extension were -8.4%, -10.1%, and -12.7%, respectively (all P > 0.05).

No significant changes occurred in knee flexion forces or EMGs (P > 0.05).

Percentages of muscle fiber types and the Type I fiber area remained

unchanged, but Type II fiber area decreased significantly by -6.4% (P <

0.05). Levels of plasma growth hormone (58.3%), testosterone (19.2%), and

the testosterone to cortisol ratio (67.6%) increased, whereas plasma

cortisol (-21.5%) and creatine kinase enzyme levels (-82.3%) decreased (all

P < 0.05). Short-term resistive exercise detraining may thus specifically

affect eccentric strength or the size of the Type II muscle fibers, leaving

other aspects of neuromuscular performance uninfluenced. Changes in the

hormonal milieu during detraining may be conducive to an enhanced anabolic

process, but such changes may not materialize at the tissue level in the

absence of the overload training stimulus.

Baggett

Arkansas

USA

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son writes:

<<------------- All of these teams

currently use HRV to monitor their athletes to prevent overtraining and

manage training effects. HRV monitoring is an extremely powerful tool for

monitoring the effects of training and will likely become more well known

and utilized in the years to come as more people become aware of its

abilities and potential >>

HRV, as you've illustrated, is profoundly important -- furthermore if every

stress(neural and physical) prone individual wore one of these $30 gadgets

physical (and mental!) stress would decrease astronimically.

do you have any opinion as to the correlation between physical and

neural stress -- admittedly using terms more synchronous than dichotomous.

PB'S

Jerry Telle

Lakewood CO USA

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son writes:

<<------------- All of these teams

currently use HRV to monitor their athletes to prevent overtraining and

manage training effects. HRV monitoring is an extremely powerful tool for

monitoring the effects of training and will likely become more well known

and utilized in the years to come as more people become aware of its

abilities and potential >>

HRV, as you've illustrated, is profoundly important -- furthermore if every

stress(neural and physical) prone individual wore one of these $30 gadgets

physical (and mental!) stress would decrease astronimically.

do you have any opinion as to the correlation between physical and

neural stress -- admittedly using terms more synchronous than dichotomous.

PB'S

Jerry Telle

Lakewood CO USA

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HRV = Heart Rate Variability, and unfortunately good HRV analysis tools are

several thousand dollars, were they only $30 I'd hope every single person

who lifted weights or trained for anything would have one and the stress of

trying to figure out individual training programs would be significantly

less.

As for the correlation between physical and neural stress, I've found it to

be highly variable depending on the type of physical stress and an

individual's genetics. Certainly higher intensity type physical stressors,

i.e. max effort strength work, plyometric training, etc tend to have a much

larger impact on CNS, but then again a lack of sleep, mental stress and

other non-physically demaning factors can likewise cause significant neural

stress.

son

Kirkland, WA

>From: JRTELLE@... >Reply-To: Supertraining >To:

>Supertraining >Subject: Re: Neural Recovery

> >Date: Mon, 29 Dec 2003 18:29:40 EST > > son writes: >

> ><<------------- All of these teams >currently use HRV to monitor their

>athletes to prevent overtraining and >manage training effects. HRV

>monitoring is an extremely powerful tool for >monitoring the effects of

>training and will likely become more well known >and utilized in the years

>to come as more people become aware of its >abilities and potential >> >

> >HRV, as you've illustrated, is profoundly important -- furthermore if

>every >stress(neural and physical) prone individual wore one of these $30

>gadgets >physical (and mental!) stress would decrease astronimically. >

> > do you have any opinion as to the correlation between physical and

> >neural stress -- admittedly using terms more synchronous than

>dichotomous. > >PB'S > >Jerry Telle >Lakewood CO USA > > >

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