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American Journal of Public Health logoLink to American Journal of Public Health
. 2009 May;99(5):921–928. doi: 10.2105/AJPH.2007.133165

The Effect of Aerobic Training and Cardiac Autonomic Regulation in Young Adults

Richard P Sloan 1,, Peter A Shapiro 1, Ronald E DeMeersman 1, Emilia Bagiella 1, Elizabeth N Brondolo 1, Paula S McKinley 1, Iordan Slavov 1, Yixin Fang 1, Michael M Myers 1
PMCID: PMC2667843  PMID: 19299682

Abstract

Objectives. We tested the effect of aerobic exercise on autonomic regulation of the heart in healthy young adults.

Methods. Healthy, sedentary young adults (n = 149; age = 30.4 ± 7.53 years) were randomized to receive 12 weeks of either aerobic conditioning or strength training. Primary outcomes were heart rate and RR interval variability (RRV) measured before and after training and after 4 weeks of sedentary deconditioning. RRV, a noninvasive index of cardiac autonomic regulation, reflects variability in the intervals between consecutive R waves of the electrocardiogram.

Results. Aerobic conditioning but not strength training led to a significant increase in aerobic capacity (3.11 mL/kg/min), a decrease in heart rate (−3.49 beats per minute), and an increase in high-frequency RRV (0.25 natural log msec2), each of which returned to pretraining levels after deconditioning. Significant 3-way interactions, however, revealed autonomic effects only in men.

Conclusions. In sedentary, healthy young adults, aerobic conditioning but not strength training enhances autonomic control of the heart, but post hoc analyses suggested that gender plays a significant role in this exercise-related cardioprotection.


The public health benefits of physical exercise, especially for cardioprotection, are widely accepted, and consensus panels consistently have recommended exercise across the age spectrum as a central activity of a healthy life.13 Among the many biological mechanisms proposed to account for this risk-reducing effect is autonomic nervous system regulation of the heart.

The role of the autonomic nervous system in cardioprotection is well established. Autonomic regulation of the heart may be measured noninvasively as variation in the time series of intervals between consecutive R waves (the representation of depolarization of the ventricles) in the electrocardiogram. RR interval variability (RRV) at high frequencies (0.15–0.50 Hz) reflects cardiac parasympathetic modulation, and variability at lower frequencies (0.04–0.15 Hz) reflects both sympathetic and parasympathetic influences in the heart. RRV is a strong prognostic indicator for the development of cardiovascular disease and death in community-dwelling nonclinical populations4,5 and for progression of heart disease in patients,6 suggesting a role for the autonomic nervous system in the pathophysiology of coronary artery disease. Low levels of RRV also predict death after acute myocardial infarction7,8 and heart failure,9 consistent with the hypothesis that increased cardiac parasympathetic nervous system regulation protects against arrhythmic death.10

Most studies report that aerobic conditioning enhances autonomic control of the heart, as indicated by training-induced reductions in heart rate or increases in RRV, but the evidence is only partially consistent with training-induced autonomic benefits. Many studies report no effect of training or no difference between trained and sedentary participants in heart rate1113 or RRV.1417 Cross-sectional studies often contrast highly trained athletes with sedentary controls, raising the possibility of self-selection biases. Longitudinal studies of training often have only a small number of participants15,18 or lack a control group,19 and many include men only.18,2024

To address these concerns, we contrasted the cardiac autonomic effect of aerobic conditioning with that of strength training in a large sample of healthy young men and women. We hypothesized that cardiac autonomic regulation would be improved by aerobic conditioning but not strength training.

METHODS

We conducted a randomized controlled trial of the effect of aerobic conditioning versus strength training on RRV. We sought healthy, sedentary young adults, aged 18 to 45 years.

Recruitment and Eligibility

Participants were recruited by flyers posted on the campuses of Columbia and St John's universities. Respondents were eligible if they did not exercise regularly and if they did not exceed American Heart Association standards for average fitness (VO2max [maximum oxygen uptake] ≤ 43 for men and ≤ 37 mL/kg/min for women). Exclusion criteria included current symptoms of affective disorder, psychosis, or substance abuse; current use of psychotropic medication; and any medical condition that affected the autonomic nervous system or cardiovascular system. (A protocol flow diagram is available as a supplement to the online version of this article at http://www.ajph.org.)

We received 1195 phone calls in response to the recruitment flyers. Written informed consent was provided by 412 respondents; 263 were disqualified because they had scheduling difficulties, exceeded VO2max criteria, or had resting systolic blood pressure higher than 140 mm Hg or frequent premature ventricular contractions (> 6/min) during VO2max testing. The remaining 149 participants were randomized to either the aerobic conditioning (n = 74) or strength training (n = 75) group. Data collection began in December 1998 and ended in January 2003.

Experimental Protocol

After phone screening to determine eligibility, we assessed maximum aerobic fitness (VO2max) by a graded exercise test on an Ergoline 800S electronic-braked cycle ergometer (SensorMedics Corp, Anaheim, CA). Each participant began exercising at 30 watts for 2 minutes, and the work rate was increased by 30 watts every 2 minutes until maximum exercise was achieved (respiratory quotient ≥ 1.1, increases in ventilation without concomitant increases in VO2, maximum age-predicted heart rate, or volitional fatigue). Minute ventilation was measured by a pneumotachometer connected to a FLO-1 volume transducer module (PHYSIO-DYNE Instrument Corp, Quogue, NY). We measured the percentage of expired oxygen and carbon dioxide with paramagnetic oxygen and infrared carbon dioxide analyzers connected to a computerized system (MAX-1, PHYSIO-DYNE Instrument Corp) and calibrated them against known medical-grade gases. The highest VO2 value attained during the graded exercise test was considered VO2max.25

Respondents meeting inclusion criteria were randomized to an aerobic conditioning or strength training group. Both programs lasted 12 weeks, and before training, all participants met individually with a trainer to review their exercise regimens. After that, they exercised on their own, 3 to 4 times per week, in designated facilities. They were permitted to construct individualized exercise programs if they met the study's criteria. Adherence to training programs was documented by weekly logs and computerized attendance records. During weekly phone contacts, participants’ training progress was monitored, and they received additional supervision as needed and motivational support to adhere to their regimen.

After completion of training, participants returned for posttraining VO2max and laboratory testing, then began 4 weeks of sedentary deconditioning, during which they were instructed to abstain completely from any form of exercise. After deconditioning, they returned for a final testing session. Data collection staff were blinded to training group assignment. Each participant received a 6-month membership in a fitness facility and $300 for participation in the study.

Conditioning Programs

Aerobic conditioning.

Participants chose from a selection of activities, such as cycling on a stationary ergometer, running on a treadmill, or using a stair-climbing machine. They were instructed to exercise at 70% of their maximum heart rate (220 − age for men, 226 − age for women). They were given an initial goal of at least 20 minutes of aerobic exercise per session, and they increased duration gradually over 2 to 3 weeks, up to 45 to 60 minutes. A trainer helped participants choose a starting workload setting for each machine, and participants were instructed to increase the workload over time when they felt able, all the while maintaining their heart rate at 70% of maximum throughout the session. Participants measured their heart rates manually by palpation.

Strength training.

At the initial session, participants established a level of effort that permitted them to complete 3 sets of 10 repetitions for each of the following exercises: bench presses, shoulder presses, quadriceps extensions, biceps curls, lateral pulls, triceps presses, and hamstring curls. They were instructed to increase the difficulty of these exercises by adding 5 pounds every 2 weeks.

Measurements

During laboratory testing, 10 minutes of continuous electrocardiogram and respiration were recorded during quiet rest in both the seated and supine positions, as well as in response to laboratory challenges. Challenge data will be reported in another paper. We placed electrodes on the right shoulder, on the left anterior axillary line at the 10th intercostal space, and in the right lower quadrant. Analog electrocardiogram signals were digitized at 500 Hz by a National Instruments (Austin, TX) 16-bit analog-to-digital conversion board and passed to a microcomputer. We then submitted the electrocardiogram waveform to an R wave detection routine implemented by custom-written event detection software, resulting in an RR interval series. Errors in marking of R waves were corrected by visual inspection. Ectopic beats were corrected by interpolation.

We computed mean heart rate, the standard deviation of the RR interval (SDRR), and spectral power in the low-frequency (0.04–0.15 Hz) and high-frequency (0.15–0.50 Hz) bands. We calculated spectra on 300-second epochs with an interval method for computing Fourier transforms similar to that described by DeBoer et al.26 Prior to computing Fourier transforms, we subtracted the mean of the RR interval series from each value in the series, then filtered the series with a Hanning window,27 and summed the power (i.e., variance, in msec2) over the low-frequency and high-frequency bands. Estimates of spectral power were adjusted to account for attenuation produced by this filter.27

We collected thoracic and abdominal respiration signals with a Respitrace monitor (Ambulatory Monitoring, Ardsley, NY). We submitted signals to a specially written respiration-scoring program that produced minute-by-minute means of respiratory rate.

Statistical Analysis

For both the seated and supine 10-minute resting periods, we averaged data from each 300-second epoch of analysis to create a single value. All indices of RRV were log transformed prior to statistical analysis.

Statistical power calculations initially specified that 126 participants would be required to detect an effect size of 0.50 SDs, with power of 0.80 and an α level of .05, assuming a 20% dropout rate during active training. However, because of a higher-than-expected dropout rate early in the study, we increased the enrollment target to 150 participants.

We analyzed data according to intention-to-treat principles. Thus, all participants randomized to either treatment condition were included in the statistical analysis regardless of whether they completed the study. Data from study dropouts were treated as missing at random. We used random-effects models to determine the association between the group assignment and the outcome variables, after correcting for important covariates. We used an unstructured covariance matrix to model the correlation among repeated measures. We selected this matrix according to the Akaike criterion.28

We fitted measures of heart rate and RRV independently in separate models. We chose physical position (seated or supine), training group assignment, measurement session (baseline, training, deconditioning), and the group × session interaction as the primary predictors. Other covariates included gender, age, and body mass index. Analyses of the effect of the training interventions were based on the covariate-adjusted full model. We predicted that the group × session interaction would be significant for all indices of RRV, indicating that the aerobic conditioning but not the strength training would enhance cardiac autonomic regulation.

For all main effects, we considered an α level of less than .05 to be statistically significant. As suggested by Fleiss, an α level of less than .10 was accepted as statistically significant for interactions.29

RESULTS

We randomized and tested 149 healthy, nonsmoking adults (58 men and 91 women) before training. The mean age was 30.4 years (range = 18–45 years; SD = 7.53). Demographic and physical characteristics of participants prior to training are presented in Table 1. A total of 102 participants completed training, and 88 completed deconditioning. Dropouts were significantly younger (27.9 versus 32.2 years; P < .001) and had marginally greater baseline aerobic capacity (34.7 versus 32.8 mL/kg/min; P = .067) than did those who completed the study. Those who completed deconditioning and dropouts did not differ in other demographic and physical characteristics.

TABLE 1.

Baseline Demographic and Physical Characteristics of Study Participants (N = 149)

Aerobic-Conditioning Group
Strength-Training Group
Men, Mean (SD) Women, Mean (SD) Men, Mean (SD) Women, Mean (SD)
Age, y 30.43 (6.27) 29.48 (7.63) 30.89 (7.62) 31.04 (8.23)
Weight, lb 177.77 (29.57) 141.14 (25.61) 183.14 (33.21) 138.74 (25.96)
Height, in 69.73 (2.53) 64.57 (3.01) 69.07 (3.27) 63.94 (3.55)
BMI, kg/m2 25.69 (3.48) 23.86 (3.82) 27.02 (4.25) 23.87 (3.61)
Hear rate, bpm 72.53 (9.06) 69.50 (8.76) 69.21 (9.34) 72.82 (8.54)
VO2max (ml/kg/min) 37.14 (6.47) 31.94 (5.26) 35.70 (5.08) 31.48 (5.21)

Note. BMI = body mass index; VO2max = maximum oxygen uptake. In the aerobic-conditioning group, the sample size for men was n = 30 and for women was n = 44. In the strength-training group, the sample size for men was n = 28 and for women was n = 47.

Effect of Training

Analysis revealed significant effects of group assignment (F1,503 = 3.83; P < .001), testing session (F2,503 = 68.95; P < .001), gender (F1,503 = 46.16; P < .001), body mass index (F1,503 = 15.20; P = .001), and age (F1,503 = 8.84; P < .001) on aerobic capacity. Women had lower VO2max than did men, which was consistent with the gender differences in the Heart Association fitness standards used as inclusion criteria. Body mass index and age were inversely related to VO2max. Most importantly, the group × session interaction was highly significant (F2,503 = 26.80; P < .001). Aerobic capacity increased after training and decreased after deconditioning only in the aerobic-conditioning group (Figure 1).

FIGURE 1.

FIGURE 1

The impact of aerobic conditioning versus strength training on aerobic capacity tested at baseline, immediately after training, and after sedentary deconditioning.

Note. VO2max = maximum oxygen uptake. Data were derived from adjusted means from regression models.

We observed a significant training group × session interaction for heart rate and high-frequency power (Table 2). In the aerobic-conditioning group, heart rate fell 3.49 beats per minute (bpm; 95% confidence interval [CI] = −4.74, −2.24; Figure 2) and high-frequency power rose 0.25 natural log (ln) msec2 (95% CI = 0.09, 0.41; Figure 2) from baseline to training and then returned to baseline levels after sedentary deconditioning (heart rate = 3.69 bpm; 95% CI = 2.23, 5.04; high frequency = −0.30 ln msec2; 95% CI = −0.48, −0.12). The group × session interactions for all other variables failed to achieve statistical significance. We controlled for respiratory rate, which slightly attenuated the group × session interaction for high-frequency power.

TABLE 2.

F Values From Regression Analyses of Gender and Training Group Interactions

Heart Rate, bpm ln SDRR ln Low-Frequency Power ln High-Frequency Power
Predictors of heart rate and RRVa
    Group 0.55 0.24 2.03 0.06
    Position 42.56† 18.59† 2.43 0.00
    Session 15.22† 5.84*** 3.57** 5.15***
    Gender 0.80 0.66 3.90** 6.05**
    BMI 0.25 0.32 1.55 0.02
    Age 0.41 39.54† 37.01† 36.46†
    Group × session 5.52*** 1.06 1.25 2.32*
Predictors of heart rate and RRV, including 3-way interactionb
    Group 0.02 0.78 3.21* 0.02
    Position 43.26† 18.96† 2.46 0.00
    Session 18.23† 6.12*** 3.94** 5.52***
    Gender 1.61 0.85 4.12** 5.24**
    BMI 0.07 0.12 1.04 0.00
    Age 0.10 36.76† 34.41† 33.76†
    Group × session 4.45** 1.31 1.46 2.52*
    Group × gender 5.08** 4.64** 4.88** 3.26*
    Session × gender 7.30† 0.88 0.81 1.50
    Session × group × gender 0.06 4.29** 1.72 2.44*

Note. bpm = beats per minute; ln = natural log; SDRR = standard deviation of the RR interval; RRV = RR interval variability; BMI = body mass index.

a

For group, position, gender, BMI, age, df = 1, 513; for session, group × session, df = 2, 513.

b

For group, position, gender, BMI, age, and group × gender, df = 1, 509; for session, session × group, session × gender and 3-way interactions, df = 2, 509.

*P < .10; **P < .05; ***P < .01; †P < .001.

FIGURE 2.

FIGURE 2

The effect of aerobic conditioning versus strength training measured at baseline, immediately after training, and after sedentary deconditioning, on changes in (a) heart rate, (b) high-frequency RR interval variability, (c) SDRR, and (d) high-frequency RR interval variability.

Note. HR = heart rate; HF = high-frequency power; SDRR = standard deviation of the RR interval. Data were derived from adjusted means from regression models.

Effect of Gender

Because women have been substantially underrepresented in studies of the autonomic effects of aerobic exercise, we looked for gender differences by adding the group × session × gender interaction to the model and repeating the analyses. Table 2 shows a significant 3-way interaction for SDRR and high-frequency power. In men, SDRR (0.12 ln msec; 95% CI = 0.04, 0.20) and high-frequency power (0.39 ln msec2; 95% CI = 0.15, 0.63) increased after training and decreased after deconditioning (SDRR = −0.20 ln msec; 95% CI = −0.30, −0.10; high-frequency power = −0.54 ln msec2; 95% CI = −0.79, −0.29) in the aerobic-conditioning but not in the strength-training group (Figure 2cd). Women showed no significant change after training and deconditioning in either group.

The absence of an effect of aerobic conditioning on RRV in women raised questions about the apparent lack of a gender difference in the training-related reduction in heart rate suggested by the nonsignificant 3-way interaction (Table 2). To explore this issue, we conducted post hoc contrasts of the within-group heart rate changes from baseline to training. In the aerobic-conditioning group, heart rate fell by 5.50 bpm (95% CI = −7.28, −3.72) in men and 1.65 bpm (95% CI = −3.39, 0.09) in women, suggesting that in women, the absence of an exercise-induced increase in cardiac vagal modulation is paralleled by the lack of a change in heart rate.

Analysis of Dropouts

We considered the possibility that differential dropout rates might account for our findings. With the exception of men in the aerobic-conditioning group (10%), dropout rates did not differ appreciably among groups: 39% among women in the aerobic-conditioning group; 39% and 34%, respectively, among men and women in the strength-training group. To determine whether differences in dropout rate influenced our findings, we conducted a sensitivity analysis by comparing an analysis of only participants who did not drop out with the intention-to-treat analysis. The results were highly similar, suggesting that the data were missing at random.

We also performed a pattern-mixture analysis. Small sample size made some of the pattern-mixture models invalid, but data from those models that were valid yielded no indication that the missing data were informative. Together, these supplementary analyses suggested that our findings were likely not affected by participants’ attrition.

DISCUSSION

Exercise is a central characteristic of a healthy lifestyle, but the cardioprotective mechanisms underlying its effects are unclear. We conducted a randomized controlled trial contrasting the autonomic effects of aerobic conditioning and strength training in healthy, sedentary young men and women and found that VO2max increased significantly, as expected, after aerobic conditioning but not strength training. Heart rate fell and high-frequency power rose after aerobic conditioning but not strength training, and sedentary deconditioning reversed these changes. These data suggest that aerobic conditioning produced small but expected autonomic effects.

However, our findings were complicated by an effect of gender. As shown in Figure 2, the autonomic-enhancing effect of aerobic conditioning appeared only in men. Strength training had no such effect in men or women.

Although studies routinely report that exercise training leads to increased cardiac autonomic regulation,24,3032 the evidence about the autonomic benefits of exercise is less clear than is commonly assumed. First, many of these studies were cross-sectional comparisons of groups that differed substantially from one another. Typically, well-conditioned participants were contrasted to sedentary controls.13,3343 Some of these studies showed the expected heart rate or RRV effects and others did not, but it is difficult to attribute their findings to differences in physical conditioning and not to other factors associated with self-selection.

Other studies tested the effect of training regimens, but many lacked the control groups required to adequately assess the effect of training.19,30,4447 Like their cross-sectional counterparts, some of these studies observed the expected heart rate and RRV changes and others did not. Many studies that randomly assigned participants to training and control groups reported training-related changes in heart rate or RRV,18,24,31,33,4851 but others did not.11,5254 None of these studies, however, conducted intention-to-treat analyses.

Finally, women have been substantially underrepresented in research on the autonomic effects of exercise. For example, cross-sectional examinations of 5535 and 14455 men reported that RRV was greater in trained than in untrained participants. In 2 randomized trials of aerobic conditioning, one showing an increase in RRV24 and the other no increase,53 55 and 140 men, respectively, were recruited. By contrast, the Heritage Family Study enrolled 507 participants, 292 of whom were women. Aerobic conditioning led to a small but significant reduction in heart rate (3.2 bpm), approximately equivalent to the heart rate reduction we found, with no gender difference in the heart rate response to training.19 However, this study had no control group and no discussion of dropouts, and analyses did not conform to intention-to-treat principles.

The gender effects on cardiac autonomic regulation in our findings might have been attributable to differences in the aerobic effects of training. However, as shown in Figure 1, men and women did not differ in their increased aerobic capacity after training and decreased capacity after deconditioning.

Prior to training, women had greater high-frequency FHFhhRRV than did men, raising the possibility that a ceiling effect accounted for the absence of a cardiac autonomic effect. However, baseline SDRR was identical in men and women, and it, too, increased only in men after aerobic conditioning, suggesting that a ceiling effect is unlikely to account for these findings.

The absence of an RRV effect of aerobic conditioning in young, premenopausal women, along with the greatly diminished heart rate response, suggests a possible role for estrogen in moderating the autonomic response to exercise training. Considerable evidence reveals an effect of estrogen on cardiac autonomic regulation. RRV varies depending on the phase of the menstrual cycle, with greater levels during the follicular phase.56 Hormone replacement therapy has been shown to enhance autonomic regulation of the heart in women who experienced natural menopause and in those who had a hysterectomy with oophorectomy.5760 In animals, exogenous administration of estrogen increases parasympathetic cardiac autonomic regulation.61

Moreover, a recent report, in combination with our findings, implicates estrogen in the diminished autonomic response to exercise training. Earnest et al. demonstrated that, by contrast to the absence of an RRV response in our younger women, postmenopausal (aged 45–75 years) sedentary women who were overweight or obese showed an increase in RRV in a 6-month exercise training program.62 However, data from other studies raise questions about the role of estrogen. In another study of postmenopausal sedentary, overweight women, exercise training led to increased RRV, even in participants receiving hormone replacement therapy.49 In addition, rats that underwent oophorectomy or a “sham” surgery showed equivalent reductions in heart rate after exercise training.63 Thus, although it is clear that estrogen influences autonomic regulation of the heart, it is not yet known whether it plays a role in moderating the autonomic response to aerobic conditioning.

Limitations

Our study was designed only to assess the effect of aerobic conditioning and strength training on cardiac autonomic modulation. It was not designed to examine gender effects and was not powered to detect such differences; our results should lead to new hypotheses and further research rather than to specific conclusions about a gender effect.

Another potential limitation was our reliance on self-reported measures of adherence to exercise regimens. After the initial training session, participants exercised on their own, although they received weekly calls to provide additional supervision and support. Because the study lacked independent indices of adherence, we could not be certain that the 2 groups exercised as intended. However, because the groups differed precisely as predicted on aerobic capacity after training and deconditioning, it appeared that participants exercised as instructed.

A related concern was the dropout rate. In our study, 32% of randomized participants dropped out of the training programs between baseline and posttraining testing. Few recent reports on dropout rates in training studies of young adults exist, but older estimates of 50% have been reported,64 suggesting that our dropout rate was not unusually high. Supplementary analyses suggested that dropouts did not account for our findings.

Finally, because we studied healthy young adults, who are at low risk of heart disease, it could be argued that our findings lack public health significance. Such a view is inconsistent with evidence that atherosclerosis begins very early in life6567; risk factors for adult coronary heart disease also characterize atherosclerosis in childhood.65 As Strong et al. wrote, “True primary prevention of atherosclerosis, as contrasted with primary prevention of clinically manifest atherosclerotic disease, must begin in childhood or adolescence.”65(p734)

Conclusions

Our analyses suggest that although there is evidence for cardioprotection through increased autonomic activity generated by aerobic exercise in our overall sample, this was primarily attributable to effects in men but not in women. Given the wealth of evidence of the health benefits of physical activity, no single study can justify modifying clinical and public health recommendations to engage in exercise. However, our findings, combined with evidence demonstrating a cardioprotective effect of RRV and the childhood origin of atherosclerosis, support the hypothesis that aerobic conditioning, as measured by RRV, confers greater cardioprotection in men than in women.

In a randomized trial of the effect of aerobic conditioning versus strength training on autonomic regulation of the heart in a sample of 149 healthy young adults, we found that aerobic conditioning, but not strength training, led to reductions in heart rate and increases in high-frequency RRV. Sedentary deconditioning reversed these changes. These findings are consistent with the hypothesis that aerobic conditioning increases cardiac vagal modulation. However, a post hoc analysis suggested a gender effect on training-induced changes in RRV: in men but not women, RRV increased after aerobic conditioning but not after strength training. Further study is required to test this hypothesis and examine the operative mechanisms.

Acknowledgments

This study was supported in part by the National Institute of Mental Health (Independent Scientist Award K02 MH01491), the National Heart Lung and Blood Institute (grant R01 HL61287), the General Clinical Research Centers Program of the National Institutes of Health (grant M01-RR00645), and the Nathaniel Wharton Fund.

We are grateful for the assistance of Timothy Church.

Human Participant Protection

The institutional review boards of Columbia University Medical Center and St John's University approved this study. All participants provided informed consent.

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