Previous studies on music and performance mainly considered isometric contractions or endurance exercises and rarely included power output measures or a no-music condition as control. Therefore, this study aimed at investigating the effect of self-selected (SSM) and stimulative (STM) music, compared to a no-music condition (NM), on muscle power and affective states in the bench press (BP). Twenty regional-level athletes (age 23.5 ± 3.2 years; body mass 84.0 ± 10.0 kg; height 1.79 ± 0.08 m) underwent three sets of eight repetitions at 75% of their one repetition maximum for each music condition. Each repetition’s average power (PAVG) and peak power (PPEAK) were calculated. The Borg scale CR-10 (RPE), the Feeling scale (FS), and the Felt arousal scale (FAS) were administered. A two-way analysis of variance (ANOVA) for repeated measures was performed to assess the effects of music and sets on power performance. PPEAK (p < 0.05) and PAVG (p < 0.05) resulted greater in SSM than NM and decreased among sets (p < 0.001). Friedman test revealed that activation was greater in SSM than STM (p < 0.05) and NM (p < 0.01). Listening to music enhanced power performance, but listening to SSM could lead to higher psychophysical activation than STM. Therefore, we encourage listening to self-selected music during power training.
Self-selected music enhances bench press performance compared to no-music alone and mood compared to stimulative and no-music conditions
Bozzato M.;Paoli A.;Marcolin G.
2025
Abstract
Previous studies on music and performance mainly considered isometric contractions or endurance exercises and rarely included power output measures or a no-music condition as control. Therefore, this study aimed at investigating the effect of self-selected (SSM) and stimulative (STM) music, compared to a no-music condition (NM), on muscle power and affective states in the bench press (BP). Twenty regional-level athletes (age 23.5 ± 3.2 years; body mass 84.0 ± 10.0 kg; height 1.79 ± 0.08 m) underwent three sets of eight repetitions at 75% of their one repetition maximum for each music condition. Each repetition’s average power (PAVG) and peak power (PPEAK) were calculated. The Borg scale CR-10 (RPE), the Feeling scale (FS), and the Felt arousal scale (FAS) were administered. A two-way analysis of variance (ANOVA) for repeated measures was performed to assess the effects of music and sets on power performance. PPEAK (p < 0.05) and PAVG (p < 0.05) resulted greater in SSM than NM and decreased among sets (p < 0.001). Friedman test revealed that activation was greater in SSM than STM (p < 0.05) and NM (p < 0.01). Listening to music enhanced power performance, but listening to SSM could lead to higher psychophysical activation than STM. Therefore, we encourage listening to self-selected music during power training.
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