The influence of music genre on explosive power, repetitions to failure and mood responses during resistance exercise

Moss, Samantha; Enright, Kevin; Cushman, Simon

doi:10.1016/j.psychsport.2018.05.002

Cited by 17 publications

(22 citation statements)

References 51 publications

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“…The “psychophysical” effects primarily examine the perception of effort which in almost all cases involves the Borgs ratings of perceived exertion scale (RPE) (Borg, 1982). These effects are consistent for low and mild intensity activities (Nikol et al, 2018; Terry & Karageorghis, 2011) and mostly consistent with high intensity activities (Moss, Enright & Cushman, 2018; Haluk, Turchian & Adnan, 2009).…”

Section: Introductionmentioning

confidence: 60%

High tempo music prolongs high intensity exercise

Maddigan¹,

Sullivan²,

Halperin³

et al. 2019

PeerJ

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Music has been shown to reduce rating of perceived exertion, increase exercise enjoyment and enhance exercise performance, mainly in low-moderate intensity exercises. However, the effects of music are less conclusive with high-intensity activities. The purpose of this with-participant design study was to compare the effects of high tempo music (130 bpm) to a no-music condition during repeated high intensity cycling bouts (80% of peak power output (PPO)) on the following measures: time to exercise end-point, rating of perceived exertion (RPE), heart rate (HR), breathing frequency, ventilatory kinetics and blood lactate (BL). Under the music condition, participants exercised 10.7% longer (p = 0.035; Effect size (ES) = 0.28) (increase of 1 min) and had higher HR (4%; p = 0.043; ES = 0.25), breathing frequency (11.6%; p < 0.001; ES = 0.57), and RER (7% at TTF; p = 0.021; ES = 1.1) during exercise, as measured at the exercise end-point. Trivial differences were observed between conditions in RPE and other ventilatory kinetics during exercise. Interestingly, 5 min post-exercise termination, HR recovery was 13.0% faster following the music condition (p < 0.05) despite that music was not played during this period. These results strengthen the notion that music can alter the association between central motor drive, central cardiovascular command and perceived exertion, and contribute to prolonged exercise durations at higher intensities along with a quicken HR recovery.

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Section: Introductionmentioning

confidence: 60%

High tempo music prolongs high intensity exercise

Maddigan¹,

Sullivan²,

Halperin³

et al. 2019

PeerJ

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show abstract

“…However, only in recent decades has there been a significant increase in research on the importance of this topic to the performance in different physical activities and exercise situations [2][3][4][5][6][7][8]. Many investigations involving the effect of music on exercise have been focused on some contributing factors of music, such as genre [9], rhythm [10], tempo [11,12], and auditory-motor synchronization [5,8]. On the other hand, there are still few studies in which the musical preference of the participants is freely guaranteed.…”

Section: Introductionmentioning

confidence: 99%

Effects of preferred music on physiological responses, perceived exertion, and anaerobic threshold determination in an incremental running test on both sexes

et al. 2020

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This study aimed to investigate and compare the effects of preferred music on anaerobic threshold determination in an incremental running test, as well the physiological responses and perceived exertion at this intensity, in physically active men and women. Additionally, by using area under the curve (AUC) analysis of the parameters of interest during the graded test, we studied the effects of music at two physiological moments—before and after anaerobic threshold intensity (iAT)—in men and women. Twenty (men = 10; women = 10) healthy and active participants completed four visits to the laboratory. The first and second sessions were used for sample characterization. In the third and fourth sessions, participants performed an incremental running test (started at 7 km.h -1 with increments of 1 km.h -1 at each 3-minute stage) under preferred music and non-music conditions. Blood lactate ([Lac]), heart rate (HR), and perceived exertion were measured by two scales (RPE Borg and the estimation of time limit ‒ ETL) during all tests, and the total time of effort (TT) was considered as performance. Individual curves of the “ intensity vs blood lactate ” analyzed by the bissegmentation method provide the iAT and the AUC of [Lac], HR, RPE Borg , and ETL before and after the iAT attainment were calculated. The iAT for men (non-music: 11.5±0.9km.h -1 vs music: 11.6±1.1km.h -1 ) and women (non-music: 9.8±0.7km.h -1 vs music: 9.7±0.7km.h -1 ) was not affected by music, and for both sexes, there was no difference between non-music and music conditions in all variables obtained at iAT. The AUC of all variables were not affected by music before the iAT attainment. However, [Lac], HR, and RPE Borg presented higher values of AUC after iAT for the female group with preferred music. This may be due to the fact that 70% of women have increased TT under music conditions. Overall, preferred music did not affect the iAT determination in an incremental running test. However, some physiological responses and perceived exertion after iAT of female subjects seems to be influenced by preferred music.

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“…The 100-mm VAS demonstrates high internal consistency (α = 0.94 -0.96) (Lee et al, 1991). The Brunel Mood Scale (BRUMS) was used to quantify mood states (Moss et al, 2018;Terry et al, 2011). The BRUMS contains six subscales (depression, anger, tension, vigour, fatigue and confusion) each comprising four items scored on a Likert scale (0 -not at all to 4 -extremely) (Brandt et al, 2016).…”

Section: Methodsmentioning

confidence: 99%

The effect of self-selected music on endurance running capacity and performance in a mentally fatigued state

Lam

Middleton

Phillips

2021

jhse

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We investigated the effects of listening to self-selected music on intermittent running capacity (study 1) and 5 km time-trial (TT) performance (study 2) in a mentally fatigued state. In study 1, nine physically active males performed a 30-minute incongruent Stroop test (IST) followed by the Yo-Yo intermittent recovery test level 1 (YYIRT1) with (MF+MUSIC) and without (MFONLY) music. They also completed a baseline trial (BL). Study 2 repeated these trials with nine recreational runners. Mental fatigue (MF) showed large increases following IST in both studies (dunb = 1.44-2.0). Intermittent running capacity was moderately greater in MF+MUSIC (564 ± 127 m; dunb = 0.52) and BL (551 ± 106 m; dunb = 0.51) vs. MFONLY (496 ± 112 m). Time-trial performance showed small improvements in MF+MUSIC (23.1 ± 2.4 min; dunb = 0.28) and BL (23.4 ± 3.5 min; dunb = 0.20) vs. MFONLY (24.1 ± 3.2 min). Differences in ratings of perceived exertion between trials were trivial to small in both studies (dunb = 0-0.47). Listening to self-selected music in a mentally fatigued state negates the negative impact of MF on endurance running capacity and performance, potentially due to altered perception of effort when listening to music.

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The influence of music genre on explosive power, repetitions to failure and mood responses during resistance exercise

Cited by 17 publications

References 51 publications

High tempo music prolongs high intensity exercise

High tempo music prolongs high intensity exercise

Effects of preferred music on physiological responses, perceived exertion, and anaerobic threshold determination in an incremental running test on both sexes

The effect of self-selected music on endurance running capacity and performance in a mentally fatigued state

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