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Usefulness of heart rate recovery parameters to monitor cardiovascular adaptation in elite athletes: The impact of the type of sport.
Durmic, T; Ðjelic, M; Gavrilovic, T; Antic, M; Jeremic, R; Vujovic, A; Mihailovic, Z; Zdravkovic, M.
Afiliação
  • Durmic T; 1 Institute of Forensic Medicine, School of Medicine, University of Belgrade , Belgrade, Serbia.
  • Ðjelic M; 2 Institute of Medical Physiology, School of Medicine, University of Belgrade , Belgrade, Serbia.
  • Gavrilovic T; 3 Serbian Institute of Sports and Sports Medicine , Belgrade, Serbia.
  • Antic M; 3 Serbian Institute of Sports and Sports Medicine , Belgrade, Serbia.
  • Jeremic R; 2 Institute of Medical Physiology, School of Medicine, University of Belgrade , Belgrade, Serbia.
  • Vujovic A; 4 School of Medicine, University of Belgrade , Belgrade, Serbia.
  • Mihailovic Z; 1 Institute of Forensic Medicine, School of Medicine, University of Belgrade , Belgrade, Serbia.
  • Zdravkovic M; 4 School of Medicine, University of Belgrade , Belgrade, Serbia.
Physiol Int ; 106(1): 81-94, 2019 Mar 01.
Article em En | MEDLINE | ID: mdl-30888216
PURPOSE: The purpose of this study is to determine heart rate (HR) recovery after maximal test in elite athletes who compete in high dynamic, high static, and in mixed sport disciplines; to assess differences in HR recovery between these groups of athletes; and to measure the association of HR index (HRI) with heart adaptation variables to determine whether these values were correlated with the type of exercise. METHODS: One hundred and ninety-four elite athletes were divided into three groups according to the predominant type of exercise performed: endurance (n = 40), strength-sprinter (n = 36), and ball-game players (n = 118). They performed maximal cardiopulmonary exercise testing on a treadmill and were subjected to echocardiography. The rate of decline (HR recovery) was calculated as the difference between maximum and recovery HRs (HRrec1 and HRrec3). The HRI was calculated as HRmax - 1-min post-exercise HR (HRrec1). RESULTS: The most significant correlation of HRI was with posterior wall diameter and left ventricular (LV) mass index (r = 0.43 and r = 0.51; p = 0.012 and p = 0.003, respectively). LV mass index [Beta (B) = 0.354, p = 0.001] was an independent predictor of HRI and HRrec1. HRI may be an effective tool for discrimination of physiological and "gray zone" LV hypertrophy, with area under the curve of 0.545 (95% CI = 0.421-0.669, p = 0.0432). HRI displayed a sensitivity of 50% and specificity of 52.2% at the optimal cut-off value of 23.5. CONCLUSION: HR recovery pattern, especially HRI, may offer a timely and efficient tool to identify athletes with autonomous nervous system adaptive changes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esportes / Adaptação Fisiológica / Atletas / Frequência Cardíaca Tipo de estudo: Prognostic_studies Limite: Adult / Humans / Male Idioma: En Revista: Physiol Int Ano de publicação: 2019 Tipo de documento: Article País de publicação: Hungria

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esportes / Adaptação Fisiológica / Atletas / Frequência Cardíaca Tipo de estudo: Prognostic_studies Limite: Adult / Humans / Male Idioma: En Revista: Physiol Int Ano de publicação: 2019 Tipo de documento: Article País de publicação: Hungria