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1 Department of Health and Kinesiology, 2 Department of Biochemistry/Biophysics, and 3 Health Sciences Center, College of Medicine, Texas A&M University, College Station, Texas 77843; and 4 Health Management Center, Baptist Medical Center, Little Rock, Arkansas 72119
Crouse, Stephen F., Barbara C. O'Brien, Peter W. Grandjean,
Robert C. Lowe, J. James Rohack, John S. Green, and Homer Tolson. Training intensity, blood lipids, and apolipoproteins in men with
high cholesterol. J. Appl. Physiol.
82(1): 270-277, 1997.
Twenty-six hypercholesterolemic men (mean
cholesterol, 258 mg/dl; age, 47 yr; weight, 81.9 kg) completed 24 wk of
cycle ergometer training (3 days/wk, 350 kcal/session) at either high
(n = 12) or moderate (n = 14) intensity (80 and 50%
maximal O2 uptake, respectively, randomly assigned) to test the influence of training intensity on blood
lipid and apolipoprotein (apo) concentrations. All
physiological, lipid, and apo measurements were completed at 0, 8, 16, and 24 wk. Lipid data were analyzed via two × four
repeated-measures analysis of variance (
= 0.0031). Training
produced a significant decrease in body weight and increase in maximal
O2 uptake. No interactions between
intensity and weeks of training were noted for any lipid or apo
variable, and no between-group differences were significant before or
throughout training. Therefore, intensity did not affect the training
response. Regardless of intensity, apo AI and apo B fell 9 and 13%,
respectively, by week 16 and remained
lower through week 24 (P < 0.0003). Total cholesterol fell
transiently (
5.5%) by week 16 (P < 0.0021) but returned to initial
levels by week 24. Triglyceride,
low-density-lipoprotein cholesterol, and high-density-lipoprotein (HDL)
cholesterol did not change with training. In contrast,
HDL2 cholesterol rose 79% above
initial levels by week 8 and 82%
above initial levels by week 24 (P < 0.0018);
HDL3 cholesterol fell 8 and 13%
over the same training intervals (P < 0.0026). These data show that changes in blood lipid and apo
concentrations that accompany training in hypercholesterolemic men are
not influenced by exercise intensity when caloric expenditure is held
constant.
exercise; hypercholesterolemia; lipoproteins
THERE IS BROAD AGREEMENT that physical activity is
associated with a reduced risk of coronary heart disease (CHD) (5, 31) and that at least part of this risk reduction may be due to favorable changes in circulating lipids and apolipoproteins (apos) induced by
regular physical exercise (9, 13, 15, 26, 39, 42, 52). On this basis,
the inclusion of exercise in the therapeutic regimen for those with
hypercholesterolemia and other lipid abnormalities has gained
widespread acceptance (16, 32). However, surprisingly little empirical
evidence exists to support this practice because healthy
hypercholesterolemic individuals seldom have been included as subjects
in exercise studies. In a review of the literature, Superko and Haskell
(40) identified only two studies in which healthy subjects with
moderately elevated cholesterol (224-244 mg/dl) completed an
endurance training program. Results were inconclusive; after training
either triglyceride (TG) (23) or total cholesterol (TC) (3)
concentration was lower, whereas high-density-lipoprotein (HDL)
cholesterol (HDL-C) was elevated in the single study in which it was
measured (3). More recently, Sutherland et al. (41) reported that TC
and low-density-lipoprotein cholesterol (LDL-C) concentrations were
higher in hypercholesterolemic men after training, but HDL-C
concentration did not change.
Reasons for these diverse findings in hypercholesterolemic subjects are
not presently known. It is noteworthy that results of training studies
in normocholesterolemic subjects also vary considerably. Generally, it
is reported that HDL-C, HDL2-C,
and apo AI are increased while TG concentrations are reduced after training in normocholesterolemic individuals (13, 26, 39, 42, 52), but
contrary findings have also been published with surprising regularity
(6, 11, 13, 24, 49). Several authors have proposed that study
differences in pretraining lipid concentrations, diet, weight loss,
training intensity, and weekly volume of training contribute to the
disparate findings (13, 43). These factors may be postulated to
confound the results of studies in hypercholesterolemic individuals as
well.
The issue of training intensity is particularly relevant because
moderate-intensity (3-6 metabolic equivalents) training is now
generally recommended for promoting health benefits (4, 33), yet it is
not clear that this intensity of exercise can induce lipid or
apolipoprotein changes consistent with lower CHD risk in either normo-
or hypercholesterolemic individuals. It has been reported
that a minimum intensity equal to ~75% of maximal heart rate is
required to induce favorable HDL-C changes in healthy middle-aged men
(39). This finding has not been verified by others (1, 18, 37), and
favorable lipid changes have been noted to occur in
normocholesterolemic individuals after training at low and moderate
intensities (25, 28, 34). Training intensity was either not reported or
was poorly quantified in all previous studies involving healthy
hypercholesterolemic men (40, 41). Given the absence of published
research related to training intensity and lipids in men with
above-normal cholesterol, as well as the paucity of information related
to general lipid changes that may be expected in these individuals
after exercise training, we designed the present investigation to
compare the effects of 24 wk of training at moderate and high
intensities on blood lipid and apo concentrations in men with elevated
cholesterol.
Subjects
Table 1.
Physical characteristics and diet data throughout 6 mo of training in
hypercholesterolemic men exercising at high or moderate intensity
200 mg/dl) were recruited from Texas A&M University and the Bryan-College Station, Texas, community. Recruitment strategies included phone solicitations to individuals with high cholesterol identified through physical fitness evaluations conducted in the Applied Exercise Science Laboratory at Texas A&M University; public screenings on the university campus, at a local medical clinic, and at
a local manufacturing plant; and advertisements placed in university
faculty and staff publications. The cholesterol status of all
volunteers was verified by Reflotron blood analysis before entry into
the study. Exclusionary criteria for volunteers included regular
aerobic exercise in the past 3 mo, medical contraindications to
exercise, known cardiovascular or metabolic diseases, tobacco use, or
use of drugs known to alter lipid metabolism. No effort was made to
characterize the molecular basis for cholesterol elevation in any
subject. Thirty-seven men who met the entry criteria signed a written
informed consent approved by the Institutional Review Board for Human
Subject Research at Texas A&M University and were randomly assigned to
complete either moderate-intensity [Mod; 50% maximal
O2 uptake
(
O2 max)] or
high-intensity (Hi; 80%
O2 max) exercise
training three times per week for 24 wk. Moderate and high intensities
were chosen to represent the range of intensities generally encountered
in training programs designed to improve cardiovascular fitness (4). Of
the 37 subjects who began the study, 26 satisfactorily completed the
training protocol and 11 were lost to follow-up for the following
reasons: 3 subjects relocated, 6 subjects dropped out because of other
time commitments, and 2 subjects developed physical problems that
precluded cycle ergometer exercise. The baseline physiological and
lipid characteristics of the dropouts did not differ from those of the
individuals who completed the study
(t-test,
= 0.05). Only data
from the 26 subjects (Mod, n = 14; Hi,
n = 12) who completed 6 mo of training were included in the overall statistical analyses. Before training, 18 subjects could be classified with high (>240 mg/dl) and 8 with borderline-high blood cholesterol (200-239 mg/dl) by National Cholesterol Education Program standards (32). Subject characteristics for each intensity group are presented in Table
1.
Baseline
8 wk
16 wk
24 wk
Age, yr
Mod
47 ± 10
Hi
48 ± 10
Height,
cm
Mod
175 ± 7
Hi
171 ± 5
Weight,a kg
Mod
83.1 ± 15.6
82.8 ± 15.2
81.7 ± 15.3
81.6 ± 15.3
Hi
80.4 ± 9.8
80.1 ± 10.2
79.0 ± 10.0
79.2 ± 10.1
%Fat, %
Mod
27 ± 4
26 ± 5
27 ± 4
27 ± 4
Hi
28 ± 4
27 ± 5
27 ± 3
27 ± 3
Waist-to-hip ratio
Mod
1.02 ± 0.03
1.00 ± 0.03
1.00 ± 0.04
1.01 ± 0.04
Hi
1.02 ± 0.02
1.02 ± 0.02
1.02 ± 0.05
1.02 ± 0.02
O2 max,b
l/min
Mod
2.65 ± 0.41c
3.05 ± 0.59d
3.40 ± 0.58e
3.31 ± 0.51e
Hi
2.39 ± 0.43c
2.93 ± 0.54d
3.40 ± 0.50e
3.61 ± 0.43f
Total intake, kcal/day
Mod
2,002 ± 441
2,218 ± 617
2,131 ± 559
2,060 ± 730
Hi
1,804 ± 691
1,991 ± 837
1,951 ± 720
1,935 ± 575
CHO, g/day
Mod
210 ± 50
239 ± 67
234 ± 64
224 ± 88
Hi
196 ± 70
218 ± 76
229 ± 76
218 ± 73
Fat, g/day
Mod
84 ± 27
92 ± 31
81 ± 32
89 ± 37
Hi
73 ± 36
86 ± 45
75 ± 41
73 ± 32
Pro, g/day
Mod
82 ± 23
92 ± 26
95 ± 32
77 ± 18
Hi
82 ± 26
83 ± 34
83 ± 29
91 ± 20
Chol, mg/day
Mod
259 ± 157
278 ± 131
318 ± 192
286 ± 120
Hi
261 ± 180
241 ± 215
298 ± 219
282 ± 211
Values are means ± SD for 6 men in each group. Mod,
moderate-intensity cycle ergometer training; Hi, high-intensity cycle ergometer training; %Fat, percent body fat;
O2 max, maximal oxygen
uptake; Total intake, total dietary intake; CHO, dietary carbohydrate
intake; Fat, dietary fat intake; Pro, dietary protein intake; Chol,
dietary cholesterol intake.
a
Significant period effect
for weight, P
0.05.
b
Significant group by
period interaction for
O2 max,
P
0.05. c,d,e,f Significant differences
between row means, P
0.05.
Procedures
General study protocol. After recruitment, the subject sample was divided into four groups of 10, 9, 9, and 9 subjects to accommodate subject scheduling preferences as well as our own laboratory testing limitations. Each of these groups was phased into the study 1 wk apart over a period of 4 wk beginning the 3rd wk in January. All subjects completed identical training programs of 24 wk in duration, and all training and data-collection procedures were completed by the 2nd wk of August. Pretraining blood samples for lipid and apo analyses were collected on the morning after a 12-h fast (water allowed ad libitum) and at least 3 days after completion of the physiological assessments. Within 1 wk of the completion of all pretraining measures, subjects began an aerobic exercise training program at an intensity corresponding to their respective group classification (Mod or Hi); work intensities were calculated from each individual's
O2 max. All
pretraining physiological assessments and blood-collection procedures
were repeated after 8, 16, and 24 wk of training.
Physiological assessment.
Percent fat and lean body mass were calculated from body density
measured hydrostatically (7) at residual volume (50). Waist-to-hip
ratios were measured as an index of regional adiposity. Maximal work
output, heart rate, blood pressure, and
O2 max were measured
on a friction-braked cycle ergometer (model 868, Monark). Subjects
pedaled at 15 W for 2 min followed by 2 min at 60 W; thereafter, the
load was increased 30 W every 2 min until volitional exhaustion. Blood
pressure, heart rate, 12-lead electrocardiogram, and ratings of
perceived exertion were recorded at the end of each stage, at
O2 max, and every 2 min throughout a 6-min recovery. Respiratory gas exchange
[O2 uptake
(
O2) and
CO2 production] was measured
continuously and averaged over 15-s intervals by using a commercially
available automated system (model 2001, Exercise Stress Testing System,
Medical Graphics), and
O2 max was defined as
the highest observed
O2
(l/min). The
O2 max
test was considered valid if at least two of the following criteria
were met: an achieved maximum heart rate within 10 beats/min of the
age-predicted maximum, a rating of perceived exertion >18, a
respiratory exchange ratio >1.1, or a plateau for
O2 despite further
increases in workload.
Diet.
All subjects were instructed to maintain their accustomed dietary
habits throughout the training study. No attempt was made to modify the
nutrient composition of the individual's diets or their total caloric
intake. Dietary habits, however, were assessed on four separate
occasions coincident with each testing period. All subjects were
instructed to record their dietary intake for 3 days, including 1 weekend day. The 3-day dietary records were analyzed for total caloric
intake and for composition of carbohydrates, fats, protein, and
cholesterol by using a commercially available computer software program
(NutriProctor, San Diego, CA). Dietary data are presented in Table 1.
Exercise training.
Training consisted of cycle ergometer exercise at either 50 or 80%
O2 max (Mod and Hi,
respectively) 3 days per week for 24 wk. The rate of energy expenditure
(kcal/min) was calculated for each individual using data from the
O2 max test by
multiplying
O2 (l/min) at
the assigned intensity (50 or 80%) by the respective energy-oxygen
equivalent (30). The rate of energy expenditure was subsequently used
to calculate the duration of exercise required for each individual to
expend 350 kcal of energy. A progressive training protocol was utilized
so that subjects were able to meet the caloric requirement of each
exercise session without rest intervals. The energy expenditure for
each group was increased 50 kcal every 2 wk, from 200 kcal initially to
a peak of 350 kcal by the 7th wk of training. Each individual's
exercise prescription was adjusted for increases in
O2 max measured at
weeks 8 and 16 to ensure that the prescribed
exercise intensity and caloric consumption were maintained throughout
the study. All subjects were asked to refrain from any form of regular
physical training other than that prescribed as a requirement of the
study.
Blood sampling and biochemical analyses.
Blood was drawn without stasis into Vacutainer tubes containing a clot
activator (model 6432, Becton Dickinson) from an antecubital vein after
5 min of quiet rest with the subject in a seated position. Posttraining
blood sampling procedures were matched for time of day (±1 h) with
pretraining procedures after exercise was withheld for 60-72 h.
Whole blood was refrigerated, and the serum was isolated within 3 h of
collection at 4°C by centrifugation at 1,500 g for 30 min. Aliquots of serum were
subsequently frozen at
60°C for later lipid and apo
analyses. HDL and HDL3
subfractions were separated from serum before freezing by the
precipitation methods of Warnick and Albers (45) and Gidez et al. (19),
respectively.
Samples for lipid analyses were thawed within 2 wk of the end of each
training period (pretraining and 8, 16, and 24 wk) and were analyzed
for concentrations of TC (2), TG (8), HDL-C (2), and
HDL3-C (2). The procedure of
Friedewald et al. (17) was used to estimate LDL-C, and
HDL2-C concentrations were calculated as the difference between HDL-C and
HDL3-C. Samples from each subject
were thawed and analyzed in the same analytic run for apo AI and B
concentrations (36) at the end of the study. Internal quality control
was maintained during each analytical run by using serum of known lipid
and apo content; all assays were performed in duplicate and averaged
for analysis. The mean lipid values of the control serum did not differ
among the four study periods [analysis of variance (ANOVA);
P > 0.05]. Interassay coefficients of variation were as follows: HDL-C and
HDL3-C, 6%; TC, 4.8%; TG, 7.9%;
apo AI, 3.2%; and apo B, 3.6%.
Statistical analysis.
The independent factors in this study were intensity group (Mod and Hi)
and training period (0, 8, 16, and 24 wk). The lipid- and
apolipoprotein-dependent variables of interest were TC, TG, LDL-C,
HDL-C, HDL2-C,
HDL3-C, apo AI, and apo B. ANOVA
procedures for a two-factor factorial (group × period) with
repeats on period were used to analyze the exercise training and lipid
data. A Bonferroni adjusted
level of 0.0031 (0.1/32) was used for
the lipid and apo statistical tests to accommodate the eight dependent
variables and the four repeated measures. Physiological and diet data
were also analyzed with ANOVA (Table 1;
= 0.05). Duncan's new
multiple-range test was used as a follow-up procedure for significant
period effects. In addition, change scores from baseline to 24 wk (24 wk minus baseline value) were calculated for weight, percent fat,
O2 max, and all lipid
and apo variables. Correlational analysis was subsequently employed to
explore relationships among these change scores.
On average, subjects completed 70 of 72 (97%) training sessions over
the 6-mo study, and data from subjects who failed to complete at least
90% of the sessions were not included in the analysis. The subjects'
physical characteristics and dietary data are presented in Table 1. No
significant differences were found between the Mod and Hi groups for
height, body weight, waist-to-hip ratios, and percent fat or for any of
the dietary variables throughout the 24 wk of training. After 16 wk of
training, weight for both groups was significantly lower than baseline
values and remained lower through 24 wk
(P = 0.0001). A group by period
interaction was found for
O2 max
(P < 0.0013; Table 1, Fig.
1). Both moderate- and high-intensity
training elicited significant improvements in
O2 max by the 8th wk of
the study, but the rate of improvement was greater in the Hi compared
with the Mod group (23 and 15%, respectively). This trend for a
greater rate of improvement in
O2 max with
high-intensity training continued throughout the study, and, whereas
improvement in
O2 max
leveled off between weeks 16 and
24 in the Mod group, an additional 6%
rise was noted in the Hi group.
O2 max;
A), total cholesterol (TC;
B), high-density-lipoprotein
cholesterol (HDL-C) and HDL-C subfractions
(C), and apolipoproteins (Apo; D). Hi, high-intensity cycle
ergometer training; Mod, moderate-intensity cycle ergometer training.
a,b,c,d Significant
differences (P < 0.0031) across
24-wk training period.
The lipid and lipoprotein data for each group are presented in Table
2. No group by period
interactions or between-group differences were significant for any of
the lipid or apo variables. A significant main effect for training
period was found for TC, HDL2-C,
HDL3-C, apo AI, and apo B
concentrations; changes in TG, LDL-C, and HDL-C concentrations after
training did not reach statistical significance. Reanalyzing the
nonnormal TC data after log10
transformation did not change the results of the statistical analyses.
The combined group average (means collapsed across groups) for TC
concentration was significantly lower than baseline after 16 wk of
training (P < 0.0021) but returned
to near-baseline levels by week 24 (Fig. 1). Although total HDL-C did not change with training,
HDL2-C concentration rose
(P < 0.0018) and
HDL3-C fell
(P < 0.0026) by the 8th wk; these
respective changes were maintained through 24 wk of training (Fig. 1).
Both apo AI and apo B concentrations were significantly lower than
baseline after 16 wk of training and remained lower through the
remainder of the study (P < 0.0003; Fig. 1). No lipid or apo changes were correlated with changes in
O2 max, body weight, or
percent body fat (Table 3).
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Our finding that volume-equivalent training at either moderate or high
intensity improves aerobic capacity
(
O2 max) was not
unexpected and is consistent with previous reports in
normocholesterolemic men (4, 18, 39). It is of interest that
high- compared with moderate-intensity training produced a more rapid
rate of improvement and a higher posttraining
O2 max after 24 wk
(Fig. 1). This is in contrast to the generally held notion that
improvements in
O2 max
are independent of intensity above a minimum threshold, as long as the
total energy costs (volume) of training are constant (4). Other notable
exceptions besides our own have been published (12, 21, 39). Taken
together, the current literature suggests that high-intensity training
should be chosen if the rate of improvement in cardiovascular fitness
and the highest attainable
O2 max are objectives
of a training program.
The subjects' average caloric intakes remained stable over the
duration of the study, and no significant change occurred in the
composition of their diets (Table 1). Thus it is likely that the body
weight loss noted (
1.4 kg) was in response to the increased caloric expenditure of training. The absence of a significant group
(intensity) effect indicated that the weight loss was not affected by
intensity. Furthermore, given the caveat that our measurement
techniques may have been insensitive to small training-related changes
in total or regional body composition, we were not able to detect
changes in these anthropometric factors in response to training.
The central finding in the present study was that training intensity had no effect on posttraining changes in lipid and apo concentrations in hypercholesterolemic men. We purposely chose our two training intensities to represent the low- and high-intensity limits commonly recommended to promote cardiovascular fitness (4) and designed our training sessions to ensure an equal volume of training (calories expended) for both intensity groups to isolate training intensity as the primary independent variable of study. The findings show that when the goal of an exercise training program for hypercholesterolemic men is to alter lipid and apo concentrations, no advantage is gained by training at high intensity. This is consistent with current recommendations for promoting public health (4, 33).
We are aware of no other published investigations in men with elevated
cholesterol in which exercise intensity was specifically studied. By
comparison, Stein and associates (39) reported that 12 wk of cycle
ergometer training by healthy normocholesterolemic men (TC
217 mg/dl) induced a significant rise in blood HDL-C and fall in LDL-C only
when the intensity was above 75% of maximal achieved heart rate.
Unfortunately, these investigators did not control for differences in
training volume between intensities, nor did they report the length of
time that elapsed between the last training session and blood sampling,
either of which could confound the study results. In contrast, Aellen
and colleagues (1) reported that HDL-C concentration fell after
high-intensity training but rose significantly after training at low
intensity. It is difficult to compare their findings with those of
others or our own because blood was drawn on nonfasting rather than
fasting subjects after exercise was withheld for only 12 h. To further cloud the issue, Gaesser and Rich (18)
reported that blood lipid concentrations were unchanged in healthy men
after 18 wk of either low-intensity (45%
O2 max) or
high-intensity (80%
O2 max) cycle ergometer
training, despite the fact that training at both intensities raised
O2 max and reduced body
fat.
More recent evidence in older adults (>50 yr) suggests that intensity is less important than the length of time one has trained, if lipid changes are the goal of training. King and associates (27) reported that both high- and low-intensity training (73-88 and 60-70% peak heart rate, respectively) promoted a modest 3 mg/dl rise in HDL-C concentration in previously untrained individuals, but this increase was not apparent until after 2 yr of uninterrupted training. The fact that TC, TG, and LDL-C concentrations were unaltered in this study is consistent with our own findings. Furthermore, significant changes in lipid concentrations have been noted in normocholesterolemic subjects after low- and moderate-intensity training, findings that support the notion that high intensity is not required when lipid changes are the goal of training (25, 28, 34).
The lack of significant changes in traditional lipid risk factors with training in our study was somewhat surprising in light of published research suggesting that pretraining TC, TG, and HDL-C concentrations are correlated with the magnitude of their respective posttraining changes (44) and that physical activity is significantly related to HDL-C levels in hypercholesterolemic men (20). Moreover, although evidence to the contrary exists (6, 13, 24), it is generally believed that exercise training causes favorable changes in blood lipids and lipoprotein cholesterols (13, 26, 27, 42, 44). On this basis, exercise is typically included in the treatment paradigm for those with high-risk lipid profiles (16, 32). However, well-controlled comparative training studies in men with above-average cholesterol are rare and currently inconclusive. TC, LDL-C, TG, and HDL-C concentrations are variously reported to be raised, lowered, or unchanged in hypercholesterolemic men after exercise training (3, 23, 25, 40, 41). Conclusions that can be drawn from these published studies are limited by the absence of a control group (3), differences among studies in mode and volume of training, subject pretraining lipid levels, diet control, and genetic basis for the elevated cholesterol, as well as by a failure to control for the acute effects of the most recent training session (23, 25, 41).
Our null findings should be interpreted in light of previous research suggesting that beneficial changes in the lipid profile with training may not be independent of weight loss (48, 51) or the duration of the training program (27). It is possible that training beyond 6 mo combined with more substantial weight loss may have produced different results in the hypercholesterolemic subjects in our study. Furthermore, given that a threshold of energy expenditure may exist for producing lipid changes in normocholesterolemic men (equivalent to running 8 mi/wk) (51), it is conceivable that the threshold may be higher in hypercholesterolemic men, at least above the 1,050 kcal/wk energy expenditure we used in our study. Recent evidence suggests that exercise should be considered just one component of a multifaceted risk-reduction strategy. Regular exercise combined with a low-fat low-cholesterol diet has proven to be a useful combination to raise HDL-C in moderately overweight normocholesterolemic men (53). At present the effectiveness of a similar combined strategy in hypercholesterolemic men has not been tested.
Although any or all of these factors may impact lipid and exercise studies, we propose a simpler explanation for our null findings, particularly with respect to the absence of a significant TG reduction, based on research related to the timing of blood sampling procedures after exercise. Holloszy et al. (23) reported that an apparent reduction in TG concentration with training in hypercholesterolemic men was, on closer inspection, a transient response to the previous training session that persisted for at least 44 h. This early finding of a transient (acute) response to exercise has been corroborated by others in normocholesterolemic men (13) and by our laboratory in untrained hypercholesterolemic men (10). In the study from our laboratory, the nadir of TG concentration occurred at 24 h, after which TG rose ~5% toward preexercise levels by 48 h, suggesting that the effect of exercise was dwindling (10). Indeed, a review of the related literature suggests that the transient lipid response, including that for TG and HDL-C, generally lasts 24-48 h after moderate amounts of exercise in normocholesterolemic individuals and perhaps up to 72 h after maximal exertion, such as a marathon (13). Blood specimens for analysis were collected ~60-72 h after exercise in our present study. On the basis of previous work by ourselves and others (10, 13), we believe it is reasonable to infer that by this time concentrations of traditionally measured lipid risk markers had returned to near preexercise values and, therefore, showed no apparent response to training. Unfortunately, with the data we report in this present communication we cannot confirm this hypothesis, nor can we determine whether the transient lipid response is altered by training. We can only conclude that compared with pretraining values, lipid concentrations measured at least 60 h after the last exercise session were not significantly lower after 2, 4, or 6 mo of endurance training. The current literature offers little help in resolving this issue. Blood was collected for analysis either without regard to the most recent training session(s) or within 48 h of exercise in most published studies linking exercise training to beneficial changes in lipids and apos, a flaw in research design we believe has led, in large part, to confusion with regard to the transient vs. chronic effects of exercise. We are aware of no published studies specifically designed to test the influence of training on the transient lipid response to a single session of exercise. This lack of research leaves open the possibility as suggested by Haskell (22) that a substantial portion of the health benefit often attributed to chronic exercise training may be, in fact, a manifestation of the lipid response to the most recent episode of exercise or an accumulation of benefit from several repeated exercise sessions. If such is the case, the frequency of exercise would be a critical component of the exercise prescription process when beneficial lipid changes are the goal of training.
Although traditionally measured lipids and lipoproteins were essentially unchanged, HDL2-C rose 82% and HDL3-C fell 13% by the 24th wk of training, demonstrating subtle changes in HDL metabolism not evident when HDL-C alone was measured. The major portion of these changes occurred by the 8th wk (Fig. 1), suggesting that HDL metabolism changes rapidly in response to training. To our knowledge, no comparative data from hypercholesterolemic men have been published. Findings from studies in normocholesterolemic men are presently inconclusive with training variously accompanied by an increase, decrease, or no change in the blood concentration of one or both of these HDL-C subfractions (29, 34, 35, 38, 42, 48, 51, 52). To explain these discrepancies in study results, it has been proposed that exercise-induced changes in the major HDL subfractions are dependent on weight loss (47). Our results do not agree; neither the change in weight nor in body fat was associated with changes in HDL2-C, HDL3-C, or any other lipid-related variable measured in our study (Table 3).
We noted an 11% fall in apo AI concentration, an outcome contradictory to reports that either no change (42, 51) or an increase (26, 38, 46) in apo AI concentration accompanied training in normocholesterolemic men. We have no adequate explanation for this finding. Normally, increases with training are thought to be due to augmented apo AI synthesis combined with reduced catabolism (42). Although we lack direct apo AI kinetic data, our results suggest that either synthesis was impaired or catabolism increased in our hypercholesterolemic subjects over the 24-wk training period. The fact that apo AI synthetic rates are reportedly lower in hypertriglyceridemic compared with normal subjects (14) suggests that apo AI synthesis may be related to lipid status. At present, corresponding data are lacking for hypercholesterolemia.
The reduction in apo B that accompanied training in our study has not been previously reported for hypercholesterolemic men, and few comparative training studies in men with normal cholesterol have been published. Wood et al. (51, 53) reported that apo B was reduced after 1 yr of weight loss by dieting combined with exercise but not after 1 yr of exercise alone. Dietary caloric intake did not change in our study; neither weight loss nor changes in body fat were substantial, and these factors were not correlated with reductions in apo B (Table 3). Thus our data suggest that significant reductions in this putatively atherogenic apo can occur in hypercholesterolemic men in the absence of substantial changes in body weight and composition.
We conclude that in hypercholesterolemic men changes in lipid and apo
profiles that accompany traditional endurance training are not
dependent on intensity, at least not for calorically equivalent training at intensities equal to 50 and 80% of
O2 max.
However, the absence of a control group limits the conclusions that can be drawn from the training aspect of our study, and we cannot rule out
the potential confounding influence of seasonal variation. Given this
caveat, our results show that 24 wk of exercise training at a caloric
cost of 1,050 kcal/wk is accompanied by significant changes in
HDL2-C,
HDL3-C, apo AI, and apo B in
hypercholesterolemic men. Whether such changes alter atherosclerotic
risk in this population remains to be shown.
We are grateful to Jana Crouse and Susan Lee for their assistance in the preparation of this manuscript and to Drs. Nicolaas Pronk and Dennis Jacobsen for their technical assistance in data collection.
Address for reprint requests: S. F. Crouse, Applied Exercise Science Laboratory, Dept. of Health and Kinesiology, Texas A&M Univ., College Station, TX 77843.
Received 21 March 1996; accepted in final form 6 September 1996.
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