Heart Rate Variability and Cortisol Levels Before and After a Brief Anaerobic Exercise in Handball Players


Kayacan Y., Makaraci Y., Ucar C., Amonette W. E., YILDIZ S.

JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, cilt.37, sa.7, ss.1479-1485, 2023 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 7
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1519/jsc.0000000000004411
  • Dergi Adı: JOURNAL OF STRENGTH AND CONDITIONING RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CINAHL, MEDLINE, SportDiscus, DIALNET
  • Sayfa Sayıları: ss.1479-1485
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

Kayacan, Y, Makaraci, Y, Ucar, C, Amonette, WE, and Yildiz, S. Heart rate variability and cortisol levels before and after a brief anaerobic exercise in handball players. J Strength Cond Res 37(7): 1479-1485, 2023-Evaluating stress in athletes is important for monitoring overall physiologic load and is a core practice for sport performance teams. This study examined relationships between 2 metrics of training stress, heart rate variability (HRV) and cortisol, before and after intense anaerobic power testing. Electrocardiogram recordings and saliva samples were collected before and immediately after a Wingate anaerobic power test (WAnT-30) from professional handball players (n = 20) and sedentary controls (n = 18). Between-group differences and correlations were computed to assess study hypotheses. No differences were observed in HRV frequency-dependent parameters between groups, but in athletes, Min. R-R (p < 0.01) and Avg.R-R (p = 0.03) before WAnT-30 and the percentage of successive normal cardiac beat intervals greater than 50 milliseconds (i.e., pNN50; p = 0.03) after WAnT-30 were elevated. A high positive correlation was detected between the pretest and post-test cortisol levels in athletes (p = 0.0001; r = 0.87) but not in sedentary individuals. No correlations were observed between the cortisol levels and WAnT-30 power parameters in either group. Relationships were evident in the standard deviation of RR intervals (p = 0.02, r = -0.53), square root of the mean squared difference of successive RR intervals (p = 0.043, r = -0.46), very low frequency (p = 0.032; r = -0.480), high-frequency (p = 0.02; r = -0.52) variables, and pretesting cortisol in athletes. These findings suggest that HRV analysis is a valuable tool for examining cardiovascular regulation, independent of cortisol; the data may provide valuable information for performance teams in evaluating acute stress.