Objective To characterise cardiac arrhythmias and cardiac autonomic function in 11 elderly men (mean (SD) age 73.2 (2.8) years) with a lifelong history of regular very strenuous exercise. A control group of 12 healthy sedentary or moderately physically active men (74.5 (2.7) years) was also studied.
Design 48 hour ambulatory electrocardiograms were recorded. Cardiac autonomic function was estimated from power spectral analysis of heart rate variability. Maximal oxygen uptake during treadmill exercise testing was 2.91 (0.52) l (41 (7) ml/kg).
Results Nine of 11 athletes had complex ventricular arrhythmias compared with five of 12 controls. Seven athletes but none of the controls had episodes of heart rate below 40 beats/min and two athletes had RR intervals longer than two seconds. Heart rate variability in the athletes was higher than in the controls.
Conclusions Elderly athletes with a lifelong training history seem to have more complex arrhythmias and profound bradyarrhythmias than do healthy elderly controls, which may increase the risk of sudden cardiac death. In contrast, the age related decrease in heart rate variability seems to be retarded, which has a positive prognostic value and may decrease the risk of life threatening ventricular arrhythmias.
- heart rate variability
- elderly men
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Most studies in which the physiological effects of strenuous exercise have been examined have involved young and middle aged athletes.1 ,2 The effects of lifelong regular exercise on the cardiovascular system in elderly people are less well known.
Regular exercise prolongs life and decreases the risk of ischaemic heart disease.3 ,4 In contrast, the risk of sudden death increases during exercise compared with the risk during inactivity, presumably because of arrhythmias,5 either primary or those associated with acute myocardial infarction. Grimby and Saltin6 found an increased frequency of supraventricular and ventricular extrasystoles during and after exercise in a group of 42–68 year old orienteerers. Northcote et al reported that the prevalence of complex ventricular extrasystoles in runners with a mean age of 56 years was 10%.7
Power spectral analysis of heart rate variability, beat to beat variations in the R–R interval length, is a tool for estimating cardiac autonomic function in patients with different cardiac and autonomic disorders, as well as in normal individuals.8Low heart rate variability in postmyocardial infarction patients is associated with an increased risk of sudden cardiac death.9-11 Studies of young athletes have shown increased heart rate variability in all spectral bands, supposedly reflecting parasympathetic and sympathetic activities.12-14 Sachnoffet al found evidence of increased vagal tone in the time but not in the frequency domain measures of heart rate variability.15 Like other autonomic function tests,16 heart rate variability decreases with age.17 Whether strenuous exercise can retard this process is not known.
This study aimed at characterising cardiac arrhythmias, as detected by 48 hour ambulatory electrocardiography, estimating cardiac autonomic function by power spectral analysis of heart rate variability, and examining a possible relation between these variables in elderly men with a lifelong history of regular very strenuous exercise.
Patients and methods
Nine orienteerers and two runners with a lifelong history of intensive running (all men; mean (SD) age 73.2 (2.8) years) were studied. Since the ages of 15–25 years they had been and were still among the best athletes in their respective age groups. At the time of investigation all participants were undertaking strenuous exercise for three to seven hours each week. All participants underwent a graded maximal bicycle exercise stress test. Table 1 shows anthropometric data and maximal exercise capacity. Maximal oxygen uptake was measured during treadmill exercise testing by an online system (MedGraphics CPX, St Paul, Minnesota, USA).
A control group of 12 sedentary or moderately physically active healthy men (mean (SD) age 74.5 (2.7) years) was studied. The controls were recruited from a local pensioners’ club. They had no history of cardiovascular disease, were not taking medication, and had a normal bicycle exercise stress test. Maximal oxygen uptake was measured during cycling by an online system (SensorMedics 2900Z; SensorMedics, Anaheim, California, USA).
The experimental protocol was approved by the institutional ethics committee.
A 12 lead resting electrocardiogram (ECG) was registered for each participant. Long term ECGs were made using a cassette based two channel ECG recorder (Reynolds Sherpa; Reynolds Medical, Hertford, UK). Electrode positions similar to V1 and V5 were used. The recording quality was checked for stability and the capability to detect P waves. Participants kept a diary for the registration period. All were monitored for 48 hours. The ECG signal was digitised and stored using a commercially available personal computer based system (Aspect Holter System; Daltek, Borlänge, Sweden). Automatic analysis of arrhythmias was made first and the QRS complexes classified. Recordings were checked manually by one of the authors.
One athlete with frequent ventricular extrasystoles was excluded from heart rate variability analysis. Consecutive RR intervals were expressed in centiseconds and their corresponding classification codes exported to an ASCII text file. Five minute (300 seconds) epochs of data were analysed in time and frequency domains by custom made software. The time series of RR intervals were resampled at a frequency of two samples/second. Gaps in the time series due to non-normal RR intervals (QRS labelled by the Aspect Holter System classification as noise or extrasystoles) were filled with values calculated by linear interpolation between adjacent normal RR intervals. The computer program also automatically checked for misclassified dropped beats deviating more than three standard deviations from the mean normal RR interval of each epoch. Epochs with more than 4% non-normal RR intervals were excluded.
The frequency domain of the time series of RR intervals was analysed with an autoregressive spectral analysis, namely Burg’s method.18 The model order and number of coefficients in the polynomial describing the time series were constantly set to 18. The mean RR interval of each time series was subtracted and then detrended by linear regression. The power spectrum of the frequency domain was divided into four bands according to Bigger and colleagues17; total power 0.0033–0.40 Hz (ms2); very low frequency (VLF) power 0.0033–0.04 Hz; low frequency (LF) power 0.04–0.15 Hz; and high frequency (HF) power 0.15–0.40 Hz.
The biological mechanisms responsible for the VLF band are not fully understood.17 ,19 ,20 VLF, however, is a strong, independent predictor for the outcome of different cardiovascular diseases.20 LF is associated with baroreceptor function and blood pressure control.21-23 LF mainly reflects the presence of sympathetic activity21 ,23 ,24; however, parasympathetic activity may also influence LF power.25The HF band is mainly related to the parasympathetic activity of the sinus arrhythmia.21 ,23 ,24
The different parameters were analysed for the whole 24 hour period for the day (0730–2130) and night (0000–0500).
Non-normal distributed values were logarithmically transformed before analysis. Significance was tested with either the Student’s two tailed unpaired t test or the χ2 test when applicable. A p value < 0.05 was considered significant.
RESTING ECG AND EXERCISE STRESS TEST
One of the 11 elderly athletes had first degree atrioventricular (AV) block with a PR interval of 0.26 seconds. Three athletes had ST elevation in at least one of the precordial leads of more than 2 mm. One athlete had left bundle branch block.
Five athletes had junctional ST depression of more than 1 mm during exercise that disappeared immediately after exercise. None had horizontal or downsloping ST segment depression. One athlete had frequent ventricular extrasystoles at rest and during exercise and another had frequent ventricular extrasystoles at the highest workload. All patients stopped exercise due to fatigue, none had chest pain.
Seven athletes but none of the controls had a heart rate below 40 beats/min at some point during the night (table 2). Two athletes had RR intervals longer than two seconds: 2.3 seconds in sinus rhythm in one and 2.6 seconds during second degree AV block in the other. One control had an episode of second degree sinoatrial block with an RR interval of 2.3 seconds. Two athletes and one control had intermittent second degree AV block at night. Nine athletes and five controls (p < 0.05) had complex ventricular arrhythmias at some time during registration, either couplets, multiform ventricular beats, or ventricular tachycardia. There was no relation between the amount of training (hours/week) and complex ventricular tachycardias; athletes who trained more than others did not have more arrhythmias. Two athletes and three controls had short supraventricular tachycardias.
HEART RATE VARIABILITY
Mean heart rate in athletes was lower than in the controls (p < 0.05) (table 3). The athletes had higher heart rate variability than the controls for the whole period and day time but not at night.
The elderly athletes had a high incidence of complex ventricular arrhythmias. Furthermore, they also had profound bradyarrhythmias at night.
Fleg and Kennedy26 who investigated the occurrence of arrhythmias in 98 healthy men and women aged between 60 and 85 years reported that profound bradycardia (defined as heart rate calculated from four RR intervals below 40 beats/min) and long sinus pauses (> 1.5 seconds) were rare. In their study half the population had complex ventricular arrhythmias (defined earlier). Bjerregaard27 studied 76 healthy men and women aged 60–79 years and found complex ventricular arrhythmias in 34. A similar percentage was observed in our study in which five of 12 healthy 70–80 year old men had ventricular arrhythmias. Grimby and Saltin6 who studied 33 middle aged athletes found only three with ventricular extrasystoles and two with AV block. In our group, nine of 11 athletes had complex ventricular arrhythmias. From our findings it seems that elderly athletes have a higher incidence of complex ventricular arrhythmias and more profound bradyarrhythmias than non-athletes. Moreover, the athletes also had a higher incidence of, and more complex, ventricular arrhythmias than those found in young runners who had very few ventricular or supraventricular extrasystoles.14 There was no relation between the amount of training and the incidence of complex ventricular tachycardias. We cannot, however, say if there is a relation between total training load during an entire lifetime and arrhythmias.
The present findings indicate that lifelong strenuous training may increase the incidence of ventricular arrhythmias. An increased incidence of ventricular arrhythmias is associated with diminished long term survival in post-infarction patients.28 However, the relation between ventricular arrhythmias and sudden cardiac death in patients without evident heart disease is controversial.29
As outlined earlier all spectral variables of heart rate variability decrease with age17 ,30 and a similar age dependent decrease is found in other autonomic function tests such as the deep breathing test.16 Autonomic test results of normal individuals up to 85 years of age decrease continuously with advancing age.31 Other tests of autonomic function show a more rapid decrease in individuals older than 60.32 Elderly athletes in the present study had higher heart rate variability than the controls. Heart rate variability was as high as in healthy 60–69 year old men,30 which suggests that regular strenuous exercise can retard the age related decrease in heart rate variability. Possible similar effects in other autonomic function tests in this group remain to be studied. This finding resembles that in young elite runners who also have higher heart rate variability than normal age matched individuals.14
We could not find a relation between heart rate variability and arrhythmias in our elderly athletes. None had low heart rate variability.
We conclude that elderly male athletes with a lifelong history of training seem to have more complex arrhythmias and profound bradyarrhythmias than do healthy elderly controls, which may increase the risk of sudden cardiac death. In contrast, the age related decrease in heart rate variability appears to be retarded, which has a positive prognostic value and may decrease the risks of life threatening ventricular arrhythmias.
This study was supported by grants from the Swedish Centre of Research in Sports and the Swedish Orienteering Federation. We thank Liselott Söderström and Kerstin Nilsson for skilful technical assistance.
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