Individual training prescribed by heart rate variability, heart rate and well-being scores in experienced cyclists
Alfonso, Carla (Universitat Autònoma de Barcelona. Departament de Psicologia Bàsica, Evolutiva i de l'Educació)
Clarke, David (Simon Fraser University)
Capdevila Ortís, Lluís (Universitat Autònoma de Barcelona. Institut de Recerca de l'Esport)

Data:	2025
Resum:	Purpose: Optimizing the training of endurance athletes involves the nuanced balance between overload and recovery. Monitoring recovery effectively requires integrating multiple variables. This study evaluates the efficacy of training protocols guided by vagally-mediated heart rate variability (vmHRV), resting heart rate (RHR), and subjective well-being (WB) scores in enhancing cycling performance. It also explores the relationships between physiological and subjective measures. Method: Twenty-eight experienced male cyclists were divided into three groups: vmHRV-only (Group 1), vmHRV+WB (Group 2), and vmHRV+WB+RHR (Group 3). Over 40 days, participants recorded daily vmHRV, RHR, and WB scores and followed customised training protocols. Pre- and post-intervention cycling tests assessed maximal power (Pmax), 1-min, 5-min, 20-min, and functional threshold power (FTPTM). Daily data analysis included correlation and autocorrelation function (ACF) assessments to evaluate trends and individual variability. Results: Across all groups, significant performance improvements were observed for 1-min, 5- min, 20-min, FTPTM, and FTPTM/kg. Group 3 showed the greatest improvements, particularly in 5-min and 20-min efforts (310. 560 to 337. 971 watts, and 260. 955 to 284. 564 watts, respectively). ACF revealed stress as having the highest day-to-day consistency among subjective measures. Individual correlations revealed diverse strengths of the relationships between physiological and subjective markers. Conclusion: Combining vmHRV, RHR, and WB offers a more nuanced assessment of athlete readiness and enhances training outcomes compared to vmHRV-only guidance. The study underscores the value of integrating physiological and subjective measures for personalising training protocols and highlights future directions for improving monitoring systems with advanced analytics.
Ajuts:	Agència de Gestió d'Ajuts Universitaris i de Recerca 2021/SGR-00806 Agencia Estatal de Investigación PID2019-107473RB-C21
Nota:	Article que forma part d'una tesi per compendi de publicacions. La data d'embargament que ara consta és provisional i es corregirà o s'eliminarà quan es publiqui la versió de l'editor.
Nota:	Additional funding was provided by the Spanish Ministry of Education through an FPU grant (Ref. FPU2020-05293); Agència de Gestió d'Ajuts Universitaris i de Recerca.
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Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	HRV ; Fatigue ; Recovery ; Psychophysiology ; Autonomic nervous system ; Periodization
Publicat a:	Scientific reports, 2025 , ISSN 2045-2322

DOI: 10.1038/s41598-025-13540-z
PMID: 41028151

Disponible a partir de: 2099-01-01

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