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AGE-ASSOCIATED CHANGES IN VO2 AND POWER OUTPUT - A CROSS-SECTIONAL
STUDY OF ENDURANCE TRAINED NEW ZEALAND CYCLISTS
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1Institute of Food, Nutrition, and Human Health, Massey University
Auckland, 2Faculty of Medical and Health Sciences, Auckland University,
New Zealand.
| Received |
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03 June 2007 |
| Accepted |
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09
August 2007 |
| Published |
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01
December 2007 |
©
Journal of Sports Science and Medicine (2007) 6, 477- 483
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| ABSTRACT |
| Age-associated changes in power and maximal oxygen consumption
(VO2max) were studied in a cross section of endurance trained
cyclists. Subjects (n = 56) performed incremental cycling exercise,
during which capillary blood lactate [La-] was measured.
Power output increased by 30 Watts during each 5 minutes stage, with
initial power output based on individual ability. When [La-]
was >4.5 mmol·L-1, subjects were given a 10 min recovery
at a power output approximately 50% below estimated power at [La-]4mmol.
Subjects then performed an incremental test (1 minute stages) to VO2max.
Decline in VO2max was 0.65 ml·kg-1·min-1·year-1
(r = -0.72, p < 0.01) for males, and 0.39 ml·kg-1·min-1·year-1
(r = -0.54, p < 0.05) for females. Power at VO2max decreased
by 0.048 W kg-1·year-1 (r = -0.72, p < 0.01)
in males. Power at [La-]4mmol decreased by 0.044
W kg-1·year-1 (r = -0.76, p < 0.01)
in males, and by 0.019 W kg-1·year-1 (r = -0.53,
p < 0.05) in females. Heart rate at VO2max (HRmax)
showed a weaker correlation with age in males (r = -0.36, p < 0.05).
The age-associated changes in maximum aerobic power and sub-maximal
power were gender- specific, thus suggesting different age-related
effects on the systems which support exercise in males and females.
KEY
WORDS: Maximal
oxygen consumption, aging, exercise, performance.
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| INTRODUCTION |
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For both males and females, a decline in the functional reserve
of the systems which support exercise occurs with age (Goldspink,
2005),
although regular exercise is known to slow the rate of decline.
Trained adult athletes across the age range experience a decline
in physiological functional capacity (Tanaka and Seals, 2003),
generally with an accelerated decline during (and after) the 6th
decade (Tanaka and Seals, 2003).
The rate of decline in VO2max with age is often reported
to be higher in endurance trained compared to sedentary adults,
although endurance trained individuals have consistently higher
absolute VO2max values than their sedentary counterparts
(Tanaka and Seals, 2003).
An age-associated decline in VO2max of 0.47 ml·kg-1·min-1·year-1
for trained distance runners aged between 35 and 70 years has been
reported (Wells et al., 1992),
whereas others (Pimentel et al., 2003)
reported that VO2max declined by 0.54 ml·kg-1·min-1·year-1
in endurance trained subjects (n = 89, age range 21-74 years) and
by 0.39 ml·kg-1·min-1·year-1 in
sedentary subjects (n = 64, age range 20-75 years). However, when
stratifying for age, endurance trained subjects showed declines
of 0.2 ml·kg-1·min-1·year-1 when
aged 20 - 50 years, increasing to 0.89 ml·kg-1·min-1·year-1
when aged 50 - 74 years. A cross-sectional study (Katzel et al.,
2001)
reported declines of 0.42 ml·kg-1·min-1·year-1
and 0.43 ml·kg-1·min-1·year-1 in
trained athletes and sedentary subjects respectively, whereas in
the longitudinal (8 year) follow up, the rate of decline increased
to 1.46 ml·kg-1·min-1·year-1 in
the athletes and 0.48 ml·kg-1·min-1·year-1
in the sedentary subjects. When a variety of mathematical techniques
were used to describe the age-associated declines in VO2max
with age (Rosen et al., 1998),
all models indicated that the rates of decline were not different
in athletes and sedentary males, and an 8 year longitudinal study
(Stathokostas et al., 2004)
reported a lower rate of decline in VO2max with age in
endurance trained master athletes compared to sedentary controls.
A meta analysis of previously published studies (Wilson and Tanaka,
2000)
reported age-associated declines in VO2max of 0.40, 0.39,
and 0.46 ml·kg-1·min-1·year-1 in
sedentary (n = 6,231), active (n = 5,621), and endurance trained
(n = 1,967) male subjects. A similar analysis on published female
data (Fitzgerald et al., 1997)
reported age-associated declines in VO2max of 0.35, 0.44,
and 0.62 ml·kg-1·min-1·year-1 in
sedentary (n = 2,256), active (n = 1,717), and endurance trained
(n = 911) female subjects. Cross-sectional studies (Wiswell et al.,
2000;
2001)
have reported age-associated declines in VO2max of 0.36
ml·kg-1·min-1·year-1 in trained
female athletes (age range 40 - 70+ years), and 0.67 ml·kg-1·min-1·year-1
in trained male athletes (age range 40 - 70+ years).
Despite the numerous studies reporting the rate of decline in VO2max
with age, there is a paucity of data describing the age-associated
changes in sport-specific power output. For example, Martin et al.,
2000
reported that anaerobic power output during cycling decreased by
approximately 7.5% per decade following the teenage years, and Seiler
et al., 1998
reported approximate declines in power of 3% per decade between
ages 24 and 50 years, and 7% between ages 50 and 74 years, in elite
rowers.
Given the limited availability of information on changes in power
with age, the aims of the current study were: (1) to describe the
age- associated decline in VO2max in endurance trained
cyclists, and (2) model age-associated changes in performance specific
power output at both VO2max and at a sub-maximal level.
It was hypothesised that physiological function would decline with
age and this would be accompanied by similar rates of decline in
cycling specific power output.
| METHOD |
|
Subjects
Fifty six trained subjects, 36 male (age range 17 - 64 yr;
body mass 81.4 ± 11.3 kg), and 20 female (16 - 54 yr; body
mass 63.0 ± 5.9 kg) gave written informed consent, and completed
a medical screening questionnaire. Procedures used in this
study have local ethics committee approval.
Selection
criteria: All subjects had participated in regular training
for endurance (events longer than 1 hour) cycling events for
more than 3 years, and at the time of the study, participated
in at least two high-intensity training sessions per week
for cycling exercise. Throughout the 12 months prior to the
study, subjects participated in competitive cycle racing (road
racing and / or time trial events) at a local and/or national
level. The cohort included current male and female under 21
years NZ road race medallists, former male and female senior
NZ road race champions, former male and female professional
road cyclists, and current male and female NZ Master and Veteran
National road race medallists.
No subjects presented with a medical history which excluded
them from a high intensity exercise test, and potential subjects
were excluded if they were on any prescribed medication, had
experienced illness (e.g. stomach upset, cold or flu like
symptoms) in the preceding week, or had a musculo-skeletal
injury which affected their normal routine training. Subjects
reported to the laboratory in a 4 hour post- prandial state,
and were asked to refrain from strenuous exercise for at least
24 hours before the test. Subjects were asked to refrain from
drinks containing caffeine for at least 4 hours before testing.
Water was provided ad-libitum throughout the test.
Exercise
protocol
Subjects performed a 10 minute warm up on an electronically
braked cycle ergometer (Lode Excalibur, Lode BV, Groningen,
Netherlands) at 60 Watts. Subjects were asked to ride at their
normal cadence, and the ergometer was set up to replicate
their normal riding position. Subjects performed a single
bout of exercise which consisted of a step-wise incremental
test to determine their lactate threshold, followed by incremental
exercise to volitional exhaustion to determine their VO2max.
Initially, subjects performed a continuous incremental test
with a minimum of 5 stages, each lasting 5 min. During each
stage, a capillary blood sample was collected from a finger
tip after 4 min and used for measurement of blood lactate
concentration [La-] (Lactate Pro, Arkray, Kyoto, Japan). The
lactate analyser was calibrated with supplied standards prior
to each test, and test-retest reliability of this device was
within 5% (unpublished observations). Heart rate was continuously
monitored throughout the test (S610, Polar Electro, Finland).
For all subjects, power output was increased by 30 Watts at
the onset of each stage, and starting power output was equivalent
to that delivered when the heart rate was approximately 100
beats per minute. When a lactate value >4.5mmol was achieved,
exercise intensity was reduced and subjects were given a 10
min active recovery at a power output approximately 50% below
their estimated power at 4mmol [La-]. If by the end of the
5 stages a lactate value of >4.5mmol was not obtained,
subjects performed additional stages (to a maximum of 7),
by which all subjects had achieved a lactate >4.5mmol.
Subjects then performed a continuous incremental test to volitional
exhaustion, with 1 minute stages, starting at a power output
equivalent to that achieved at a [La-] of approximately 4.5mmol,
during which power output was increased by 20 Watts·min-1. Throughout each minute, exhaled air was collected
and analysed for oxygen and carbon dioxide (Servomex CO2
+ O2, 1440, East Sussex, UK) content, and total
volume (Dry Gas Meter, Harvard Apparatus, Kent, UK). The gas
analysers were calibrated with known concentrations of O2
and CO2 prior to each test, and test-retest for
this method to determine VO2max was between 5 and
10% (unpublished observations). Maximum oxygen pulse was calculated
by dividing VO2max (in ml·kg-1·min-1)
by HRmax (in beats·min-1), thus giving the unit
for oxygen pulse as ml·kg-1·beat-1.
Statistics
The males and females were compared using a Student t-test
for unpaired samples of equal variance, and significance level
was set at p < 0.05. Linear regression was used to describe
the relation between age and: (1) VO2max, (2) power
at VO2max, and (3) power at [La-]4mmol , when normalised
for body mass. Linear regression was also used to describe
changes in HRmax, and maximum oxygen pulse with age. In each
case, Pearson's correlation coefficients were used to quantify
the degree to which the points clustered about the regression
line. Significance level was set at p < 0.05.
|
| RESULTS |
|
All
subjects completed the lactate threshold and VO2max
protocols. All subjects terminated the maximal oxygen uptake
test at volitional exhaustion. At test termination, analysis
of the expired breath indicated a respiratory exchange ratio
exceeding 1.1. The HRmax values are shown in Figure
1, which also shows regression lines used to predict the
maximum heart rate based on age (Tanaka et al., 2001).
Deviation of measured HRmax values from the predictions were
3.1 (±6.9)% and 2.8 (±5.7)% for females, and 1.9 (±6.4)% and
2.3 (±5.4)% for males using the 220-age and 208-0.7age equations
respectively. Table 1
shows the mean (± sd) characteristics of the group as a single
cohort, and shows the descriptive statistics for the males
and females when separated into sub-groups. Males were significantly
heavier than females (males: 81.4 ± 11.3 kg vs. females: 63.1
± 5.9 kg, p < 0.01), and could use
more oxygen at VO2max (males: 4.5 ± 0.6 L·min-1
vs. females: 3.2 ± 0.5 L·min-1, p < 0.01). Male
and female sub-groups were not different in terms of age (males:
42.1 ± 10.7 years vs. females: 37.7 ± 11.9 years, p > 0.05)
or HRmax (males: 175 ± 11.2 beats·min-1 vs. females:
177 ± 9.7 beats·min-1, p > 0.05). When normalised
for body mass, males were not different compared to females
for VO2max when measured in ml·kg-1·min-1,
power at VO2max, or sub-maximal power at [La-]4mmol.
Pearson's correlation coefficients for male and female subjects,
and where these were significant, the accompanying linear
regression equations, are show in Table
2. There was no significant correlation between age and
HRmax for the females, and no significant correlation between
age and maximum oxygen pulse for the females. The rate of
decline in VO2max with age was 0.65 ml·kg-1·min-1·year-1
and 0.39 ml·kg-1·min-1·year-1 for males and females
respectively.
Power at VO2max showed a negative correlation with
age for males, where power decreased by 0.048 Watts·kg-1·year-1
(see Figure 1). There was no apparent age-associated
decline in power at VO2max for the females. Power
at [La-]4mmol decreased at a rate of 0.044 Watts·kg-1·year-1
in males, and at .019 Watts·kg-1·year-1 in females (see Figure 2).
|
| DISCUSSION |
|
The
power output at VO2max, when normalised for body
mass, is an index which considers both the power output of
recruited skeletal muscle and the maximal aerobic capacity.
Therefore, for cyclists, this is a measure of the functional
capacity of skeletal muscle at VO2max. This study
reported an age-associated decrease in relative power at VO2max
in males but not in females, thus suggesting that the female
cohort maintained peak aerobic power throughout the age range.
Although speculative, this may suggest that peak aerobic power
may be maintained if there are no age-associated changes in
maximal oxygen pulse and HRmax, both findings consistent
with current data.
A sub-maximal sustainable power (for example the power output
at the onset of the accumulation of blood lactate) may represent
a measure of muscle performance potentially unaffected by
the age-associated declines in maximal cardiac output, reduced
peak muscle blood flow, and decreases in oxygen extraction.
The current study reported that power output at [La-]4mmol,
when normalised for body mass, declined with age in both males
and females. The near parallel age-associated declines in
peak aerobic power and power at [La-]4mmol
in males may suggest a common mechanism, for example, a decrease
in peripheral oxygen uptake (indirectly supported by the age-associated
decline in maximum oxygen pulse), or a decrease in cardiac
output (indirectly supported by the age-associated decline
in HRmax). The apparent divergence of the regression
lines for the female data should be treated with caution,
however, the age-associated decline in power at [La-]4mmol
in the females may suggest age- associated changes in the
kinetics of lactate production and/or clearance. Further work
on the mechanisms responsible for gender specific changes
in sub-maximal and peak aerobic power is required.
An age-associated decrease in muscle mass and/or changes in
the expression of the myosin heavy chain (MHC) isoforms in
the recruited motor unit pool (Doherty, 2003;
Goldspink, 2005)
may contribute to the decline in power with age. Farina et
al. (2007)
reported a correlation between % MHC type 1 isoform with power
at the lactate threshold and at VO2max in trained
subjects (aged 25 ± 4 years, VO2max 52.5 ml·kg-1·min-1),
whereas Mattern et al., 2003
found no differences between young and old subjects in the
MHC isoforms expressed in skeletal muscle. However, Mattern
et al., 2003
did show that age and MHC type 1 combined to account for 58%
of the variance in power output at the maximum sustainable
stable blood lactate concentration when expressed as a % of
maximal aerobic capacity. A lower power output at the maximum
sustainable stable blood lactate concentration in older, trained
endurance athletes, has been reported (Mattern et al., 2003)
where subjects (n = 9, VO2max 67.7 ml·kg-1·min-1)
aged 25 years produced 3.5 W·kg-1, and subjects
(n = 9, VO2max 47.0 ml·kg-1·min-1)
aged 65 years produced 2.2 W·kg-1. The present
study predicted power at [La-]4mmol
when aged 25 to be 3.41 W·kg-1, and when aged 65
to be 2.41 W·kg-1.
There is certainly some variability in the age- associated
decline in VO2max in trained subjects, whether
approximate rates are derived from longitudinal or cross-sectional
studies, and both experimental designs have limitations. We
have included all ages into gender-specific regression models
- consistent with previous reports (Fitzgerald et al., 1997;
Wilson and Tanaka, 2000),
and acknowledge that a selection bias, whereby the oldest
athletes are selected from a decreasing pool of available
subjects (Katzel et al., 2001)
exists in the current data. The cross-sectional age-associated
decrease in VO2max reported in the present study
was lower than that reported by Tanaka et al., 1997
for endurance athletes, but higher than that reported by Katzel
et al., 2001
in their cross-sectional study. Katzel et al., 2001
reported higher values for the rate of decline in their longitudinal
study, and Marcell et al., 2003
reported a rate of 1 ml·kg-1·min-1·year-1
in trained men and women aged 40 - 60 years over an approximate
6 year period. It has been reported that longitudinal studies
generally report higher rates of decline in VO2max
with age (Eskurza et al., 2002;
Katzel et al., 2001),
and Stathokostas et al., 2004
reported that the longitudinal rate of decline in men was
higher than that reported in a cross- section of their original
sample population. Pimental et al. (2003),
when stratifying for age, reported that endurance trained
subjects showed declines of 0.2 ml kg-1min-1year-1
when aged 20-50 years, and this increased to 0.89 ml·kg-1·min-1·year-1
when aged 50-75 years. We acknowledge that the age range used
in the current study does not include 'old' athletes, and
the
limited sample size prevents stratification by age.
An age-associated decline in HRmax has been previously
reported (Fitzgerald et al., 1997;
Tanaka et al., 1997;
Pimentel et al., 2003;Wilson
and Tanaka, 2000),
although in the present study there was no obvious trend in
HRmax for females and only a weak age- associated
decrease in male HRmax. The lack of an age-associated
decline in HRmax in the present study may be a
result of fatigue, given that the VO2max protocol
was at the end of the exercise period. However, we were satisfied
that all subjects reached VO2max using this protocol.
Decreases (Rogers et al., 1990;
Fleg et al., 2005)
or no changes (Ogawa et al., 1992;
Stathokostas et al., 2004)
in maximal oxygen pulse with age have been previously reported
without consistent directional changes in HRmax.
Differences in the rate at which VO2max declined
with advancing age has been attributed to gender-specific
changes in components of the cardiovascular system (Weiss
et al., 2006).
The current study reported no correlation between age and
maximum oxygen pulse in females, but a significant negative
correlation in males, thus further supporting gender-specific
differences in the rate of decline in cardiovascular performance.
However, it should be noted that the small sample size and
lack of old (60 years +) subjects (particularly females) used
in the current study, make such statements speculative.
Linear equations have been used to express the maximal aerobic
capacity of skeletal muscle as a function of muscle mass where
Proctor and Joyner, 1997
reported the same gradient for young compared to old muscle.
This indicated that for a given change in muscle mass, the
proportional change in aerobic capacity of young and old muscle
was the same. The authors concluded that it was unlikely that
skeletal muscle oxidative capacity or capillarisation was
responsible for the age-associated reduction in aerobic capacity
per Kilogramme muscle in trained older subjects (Proctor and
Joyner, 1997).
Mattern et al., 2003
also reported no differences in the citrate synthase activity
of skeletal muscle samples taken from young, middle aged,
and older trained endurance athletes, thus supporting the
conclusions of Proctor and Joyner, 1997.
However, the ordinary least-squares model used by Rosen et
al., 1998
suggested that 35% of the age-associated decline in VO2max
was due to a loss of fat free mass, accounting for approximately
8 ml min-1·year-1.
In the current study, we chose to use the same testing protocol
for all ages and both genders - a decision based on the selection
of the subjects (all well trained and in regular competition),
and following medical screening. Variations in training regimes
are likely to occur with aging (Spirduso et al., 2005),
although subjects in the current study all participated in
at least 2 high intensity training sessions each week - in
most cases this was in addition to a weekly competitive event.
Our experiences in recruiting trained athletes across a wide
age-range is that older subjects do not have a lower training
volume in comparison to their younger counterparts, however,
we acknowledge that medical conditions which impact on the
ability to perform high-intensity exercise may define the
appropriate testing protocols suitable for older subjects
(Huggett et al., 2005).
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| CONCLUSION |
| This cross-sectional study reports an age-associated decline in
VO2max in both males and females, consistent with previous
reports. The concomitant decline in maximum oxygen pulse with minimal
trend in HRmax in males has been rarely reported in previous literature.
The present study uniquely reports an age-associated decline in power
at VO2max in males, and at a [La-]4mmol sub-maximal level
for both males and females. |
| KEY
POINTS |
- VO2max decreased with age by 0.65 ml·kg-1·min-1·year-1 in male, and by 0.39 ml·kg-1·min-1·year-1
in female endurance trained cyclists.
- Power at VO2max decreased with age by 0.048 Watts·kg-1·year-1
in male endurance trained cyclists.
- Sub-maximal power at a blood lactate concentration of 4mmol·L-1
decreased by 0.044 Watts·kg-1·year-1 in male, and by 0.019 Watts·kg-1·year-1 in female endurance trained cyclists.
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| AUTHORS
BIOGRAPHY |
Stephen BROWN
Employment: Senior lecturer at Massey University, New Zealand.
Degree: PhD.
Research interests: Human physiology with particular
interests in human exercise and environmental physiology.
E-mail: s.j.brown@massey.ac.nz
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|
Helen
J. RYAN
Employment: Laboratory manager in the Institute of Food,
Nutrition, and Human Health.
Degree: BSc.
Research interests: Sport science and human performance.
E-mail: h.x.ryan@massey.ac.nz
|
|
Julie
A. BROWN
Employment: Senior research fellow in the Faculty of Medical
and Health Sciences, Auckland University.
Degree: PhD.
Research interests: Human health and disease.
E-mail: j.brown@auckland.ac.nz |
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