Automated observation: heart rate variability and its relationship with performance-related psychological variables in young swimmers

Authors

  • Jesús M. Ortigosa-Márquez University of Malaga
  • Rafael E. Reigal University of Malaga
  • Mariona Portell Universitat Autònoma de Barcelona
  • Verónica Morales-Sánchez University of Malaga
  • Antonio Hernández-Mendo University of Malaga
DOI: https://doi.org/10.6018/analesps.33.3.270991
Keywords: sleep quality, mood states, self-esteem, performance.

Abstract

Correct interpretation of performance markers from a psychophysiological perspective is important in young developing athletes. This study had two objectives. The first was to analyze the relationship between heart rate variability (HRV) and the psychological variables sleep quality, self-esteem, and mood states in young swimmers from a professional swimming club. The second was to study the relationship between performance and HRV and psychological determinants. The sample was composed of nine swimmers (11.7±1.4 years) base on purposive sampling method. Data were collected once a week during training sessions for 3 weeks. The statistical analysis showed that anxiety was negatively correlated with the high frequency component of HRV (Ln HF) and positively correlated with the very low frequency component (Ln LVF). No significant correlations were observed for self-esteem or sleep quality. Performance in a 200-m freestyle event was negatively correlated with the parasympathetic HRV indices. Our results suggest that HRV could be a valid tool for predicting performance and improving interpretation of psychometric tests.

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Published
21-07-2017
How to Cite
Ortigosa-Márquez, J. M., Reigal, R. E., Portell, M., Morales-Sánchez, V., & Hernández-Mendo, A. (2017). Automated observation: heart rate variability and its relationship with performance-related psychological variables in young swimmers. Anales de Psicología / Annals of Psychology, 33(3), 436–441. https://doi.org/10.6018/analesps.33.3.270991
Issue
Section
Monographic theme: Observational data analysis

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