Affective valence predictors from real-world based short sprint interval training

[EN] Affective valence is typically positive at exercise intensities below the lactate threshold, yet more aversive responses occur at supra-threshold intensities. Nevertheless, the physiological and psychological predictors of affective valence during supramaximal intensities including short sprint...

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Detalhes bibliográficos
Autores: Benitez-Flores, Stefano, de Souza Castro, Flávio Antônio, Caldas Costa, Eduardo, Boullosa Álvarez, Daniel Alexandre, Astorino, Todd Anthony
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Recursos:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/24244
Acesso em linha:https://hdl.handle.net/10612/24244
Access Level:acceso abierto
Palavra-chave:Educación Física
Repeated sprint training
High-intensity interval training
Perceived exertion
Physiological response
Psychological response
Heart rate
2411.06 Fisiología del Ejercicio
Descrição
Resumo:[EN] Affective valence is typically positive at exercise intensities below the lactate threshold, yet more aversive responses occur at supra-threshold intensities. Nevertheless, the physiological and psychological predictors of affective valence during supramaximal intensities including short sprint interval training (sSIT) have not yet been elucidated. Seventeen (7 women/10 men) moderately active young adults (age ​= ​[28.2 ​± ​5.6] years; V˙O2max [maximum oxygen consumption] ​= ​[52.9 ​± ​8.1] mL·kg−1·min−1; BMI [body mass index] ​= ​[24 ​± ​2] kg·m−2) completed four low-volume running sSIT sessions (10 ​× ​4 ​s efforts with 30 ​s of passive recovery). We recorded participants’ heart rate (HR), root mean square of successive differences of normal RR intervals (RMSSD), heart rate recovery (HRR), ratings of perceived exertion (RPE), feeling scale (FS), intention and self-efficacy during, and after each session. Overall, no significant correlation (p ​> ​0.05) was found between FS and baseline clinical outcomes. No significant correlation (p ​> ​0.05) was detected between FS and any training parameter. No significant correlations were noted between FS and exercise task self-efficacy and intentions (p ​> ​0.05). The regression model was significant (F3,61 ​= ​5.57; p ​= ​0.002) and only three variables significantly entered the generated model: ΔHRRend-120s end (p ​= ​0.002; VIF ​= ​2.58; 40.8%), time ≥ 90% HRpeak (p ​= ​0.001; VIF ​= ​1.26; 31.6%), and RMSSDend (p ​= ​0.025; VIF ​= ​2.23; 27.6%). These findings suggest that HR-based measures, particularly those related to in-task stress (time ≥ 90% HRpeak) and acute recovery (ΔHRRend-120s end, and RMSSDend), may predict affective valence during real-world sSIT.