Heart Rate Variability Reflects Similar Cardiac Autonomic Function in Explosive and Aerobically Trained Athletes

Abstract

Autonomic cardiac function can be indirectly detected non-invasively by measuring the variation in microtiming of heart beats by a method known as heart rate variability (HRV). Aerobic training for sport is associated with reduced risk for some factors associated with cardiovascular diseases (CVD), but effects on autonomic function in different athlete types are less known.To compare cardiac autonomic modulation using a standard protocol and established CVD risk factors in highly trained intercollegiate athletes competing in aerobic, explosive, and cross-trained sports. A total of 176 college athletes were categorized in distinct sports as explosive (EA), aerobic (AA), or cross-trained (mixed) athletes. Eight different HRV measures obtained at rest were compared across training type and five health factors: systolic (SBP), diastolic blood pressure (DBP), body weight (BW), sex, and race. All athletic types shared favorable HRV measures that correlated with low CVD risk factors and indicated normal sympathovagal balance. A significant correlation was reported between DBP and pNN50 (% RR intervals > 50 ms) (β = −0.214, p = 0.011) and between BW and low-frequency (LF) power (β = 0.205, p = 0.006). Caucasian and African American athletes differed significantly (p < 0.05) with respect to four HRV variables: pNN50, HF power, LF power, and LF/HF ratios. Explosive, aerobic and mixed athletes had similar cardiovascular and autonomic HRV results in all eight HRV parameters measured. All athletes reported LF and pNN50 values that were significantly correlated with two CVD risk factors: DBP and BW. Compared with Caucasian teammates, African American athletes demonstrated lower LF/HF and higher pNN50, indicating an even more favorable resting sympathovagal activity and healthy CV function.

Measurement of Heart Rate Variability (HRV) and Stress Index After Consumption of 4 Cups of Instant Coffee in 1 Day in A 60-Year-Old Man

“…However, in other made study [11] results suggest that regular caff eine use does not necessarily lead to tolerance for caff eine-stress interactions and that certain characteristics may be associated with greater sensitivity to caff eine's eff ects [1][2][3][4][5][6][7][8][9][10][11].…”

The Influence of an Acute Bout of High-Intensity Interval Exercise on Heart Rate Variability Indices and Stress Index in the Absence of Cardiometabolic Diseases

“…Though these exercise protocols were different from our current exercise protocol, there is valuable information regarding the relationship between fitness and time domain variables 3 . Claiborne et al 20 did a large scale study of 176 collegiate athletes and obtained HRV values at rest. The HRV data provided insightful information regarding HRV variables in relation to having low CVD risk factors and comparing pNN50, HF, LF, and LF/HF between aerobic and anerobic athletes.…”

“…The HRV data provided insightful information regarding HRV variables in relation to having low CVD risk factors and comparing pNN50, HF, LF, and LF/HF between aerobic and anerobic athletes. 20 . The key takeaway from our study is the changes noted in pNN50 throughout the experiment.…”

“…Although, a change was not noted in our study, further research is needed to better understand specific timepoint frequency domain variables in response to exercise since there have been many contradictory results as to what level of exercise intensity causes an increase in LF or an increase in HF 22 . Despite the contradictory information regarding frequency domain variables, there is sound evidence from healthy populations that exercise promotes better ANS function 20 .…”

Показники Вегетативної Дисфункції У Спортсменів З Ознаками Перетренованості

“…Аналіз особливостей вегетативної регуляції серця в останні десятиліття широко використовується в кардіологічних дослідженнях галузей медицини, спортивної фізіології та фізичної реабілітації. В основі визначення показників варіабельності серцевого ритму лежить оцінювання послідовних інтервалів R-R синусового походження, що забезпечує отримання кількісної інформації про модулюючий вплив на серце парасимпатичного і симпатичного відділів вегетативної нервової системи [4,7]. Ритм серця підпорядковується ієрархічній системі структур та механізмів, включаючи мозковий і внутрішньосерцевий рівні.…”