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Effects of Self-Selected Music on Strength, Explosiveness, and Mood

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There has been much investigation into the use of music as an ergogenic aid to facilitate physical performance. However, previous studies have primarily focused on predetermined music and aerobic exercise. The purpose of this study was to investigate the effects of self-selected music (SSM) vs. those of no music (NM) on the mood and performance of the athletes performing bench press and squat jump. Twenty resistance trained collegiate men completed 2 experimental conditions, one while listening to SSM and the other with NM. The subjects reported their profile of mood states (POMS) and rating of perceived exertion (RPE) before and after performing 3 sets to failure of the bench press at 75% 1 repetition maximum (1RM) and 3 reps of the squat jump at 30% 1RM. Statistical analyses revealed no differences in squat jump height or relative ground reaction force, but the takeoff velocity (SSM-2.06 ± 0.17 m·s(-1); NM-1.99 ± 0.18 m·s(-1)), rate of velocity development (SSM-5.92 ± 1.46 m·s(-2); NM-5.63 ± 1.70 m·s(-2)), and rate of force development (SSM-3175.61 ± 1792.37 N·s(-1); NM-2519.12 ± 1470.32 N·s(-1)) were greater with SSM, whereas RPE (SSM-5.71 ± 1.37; NM-6.36 ± 1.61) was greater with NM. Bench press reps to failure and RPE were not different between conditions. The POMS scores of vigor (SSM-20.15 ± 5.58; NM-17.45 ± 5.84), tension (SSM-8.40 ± 3.99; NM-6.07 ± 3.26), and fatigue (SSM-8.65 ± 4.49; NM-7.40 ± 4.38) were greater with SSM. This study demonstrated increased performance during an explosive exercise and an altered mood state when listening to SSM. Therefore, listening to SSM might be beneficial for acute power performance.
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EFFECTS OF SELF-SELECTED MUSIC ON STRENGTH,
EXPLOSIVENESS,AND MOOD
MATTHEW S. BIAGINI,LEE E. BROWN,JARED W. COBURN,DANIEL A. JUDELSON,TRACI A. STATLER,
MARTIM BOTTARO,TAI T. TRAN,AND NICK A. LONGO
Department of Kinesiology, Human Performance Laboratory, Center for Sport Performance, California State University,
Fullerton, California
ABSTRACT
Biagini, MS, Brown, LE, Coburn, JW, Judelson, DA, Statler, TA,
Bottaro, M, Tran, TT, and Longo, NA. Effects of self-selected
music on strength, explosiveness, and mood. J Strength Cond
Res 26(7): 1934–1938, 2012—There has been much in-
vestigation into the use of music as an ergogenic aid to facilitate
physical performance. However, previous studies have primarily
focused on predetermined music and aerobic exercise. The
purpose of this study was to investigate the effects of self-
selected music (SSM) vs. those of no music (NM) on the mood
and performance of the athletes performing bench press and
squat jump. Twenty resistance trained collegiate men completed
2 experimental conditions, one while listening to SSM and the
other with NM. The subjects reported their profile of mood states
(POMS) and rating of perceived exertion (RPE) before and after
performing 3 sets to failure of the bench press at 75% 1
repetition maximum (1RM) and 3 reps of the squat jump at 30%
1RM. Statistical analyses revealed no differences in squat jump
height or relative ground reaction force, but the takeoff velocity
(SSM-2.06 60.17 ms
21
; NM-1.99 60.18 ms
21
), rate of
velocity development (SSM-5.92 61.46 ms
22
;NM-5.636
1.70 ms
22
), and rate of force development (SSM-3175.61 6
1792.37 Ns
21
; NM-2519.12 61470.32 Ns
21
) were greater
with SSM, whereas RPE (SSM-5.71 61.37; NM-6.36 61.61)
was greater with NM. Bench press reps to failure and RPE were
not different between conditions. The POMS scores of vigor
(SSM-20.15 65.58; NM-17.45 65.84), tension (SSM-8.40 6
3.99; NM-6.07 63.26), and fatigue (SSM-8.65 64.49; NM-
7.40 64.38) were greater with SSM. This study demonstrated
increased performance during an explosive exercise and an
altered moodstate when listening to SSM. Therefore, listening to
SSM might be beneficial for acute power performance.
KEY WORDS power, explosive, velocity
INTRODUCTION
Resistance exercise has been shown (2) to have
a profound influence on strength and power.
These adaptations stem from the ability to
manipulate a progressive amount of resistance
in an explosive manner. Optimizing time and maximizing
effort in the weight room can also improve athletic
performance. Because of this, the use of ergogenic aids has
become common place in most exercise programs and
weight rooms. An ergogenic aid can be defined as an external
influence with the ability to increase capacity for bodily or
mental labor especially by eliminating fatigue symptoms (2)
and can range from articles of clothing to imagery, caffeine,
steroids, or music (1,6).
There is a significant amount of research that supports the
use of music as an ergogenic aid (3–5,7,8,11,14,20,22). It has
been previously reported that music might allow an
individual to dissociate from exercise (1,9,10,12). The most
common positive outcomes when combining music and
exercise appear to be decreased ratings of perceived exertion
(RPEs), increased performance measures, improved mood,
and increased arousal. In contrast, there is research that
suggests that music does not elicit an ergogenic effect on
performance and that it may even have detrimental effects
(6,19). Although the mechanism is still unclear, it has been
suggested that music serves as an ergogenic aid by altering
focus of attention to external information (17).
The majority of investigations on the effects of synchro-
nous, asynchronous or oudeterous (neutral in terms of
motivational qualities) music tend to focus on aerobic rather
than on anaerobic exercise, whereas a limited amount of
research has examined resistance exercise, demonstrating
mixed results (11,18). In addition, nearly all previous studies
examining the effects of music on physical and psychophys-
ical measures have used a predetermined selection of music
(1,3,5–12,14,15,18,22) in an attempt to find fundamental
characteristics that elicit positive responses. However, the
individuality and psychological differences of humans
suggest that using self-selected music (SSM) may yield the
most beneficial effects (13,23). We hypothesize that if the
music is individually chosen, it may have a greater effect,
regardless of the type of music. Therefore, the purpose of this
Address correspondence to Lee E. Brown, leebrown@fullerton.edu.
26(7)/1934–1938
Journal of Strength and Conditioning Research
Ó2012 National Strength and Conditioning Association
1934
Journal of Strength and Conditioning Research
the
TM
Copyright © National Strength and Conditioning Association Unauthorized reproduction of this article is prohibited.
study was to investigate the effects of SSM on strength,
explosiveness, and mood.
METHODS
Experimental Approach to the Problem
This study sought to investigate the effects of SSM on
strength, explosiveness, and mood during an acute bout of
exercise in resistance trained college men. Each subject
completed 3 visits. The first was used to obtain the bench
press and back squat 1 repetition maximum (1RM). The
following 2 experimental visits, which were identical to each
other with the exception of SSM being played or not being
played, measured bench press reps to failure, squat jump
performance, and mood.
Subjects
Twenty men (22.95 61.90 years, 177.57 67.07 cm, 83.85 6
15.15 kg, bench press 1RM 104.65 619.95 kg, back squat
1RM 134.77 626.02 kg) who were resistance trained (having
$years of experience in the parallel back squat and bench
press exercises) volunteered for this study. Any subject
reporting current health limitations or the current use of
anabolic steroid supplements was excluded from participa-
tion. Before participation, all the subjects read and signed an
informed consent document approved by the University
Institutional Review Board.
Procedures
To assess the effects of SSM on bench press, squat jump and
mood, the subjects completed 2 experimental conditions in
a counterbalanced order separated by at least 48 hours and
performed on the same time of day. One condition was
completed with SSM delivered through ambient speakers
measured at 80 dB (Scosche SPL1000F 135DB Max Spl
Meter, Oxnard, CA, USA), whereas the other condition had
no music (NM). Throughout the experiment, the subjects
were advised not to add any new exercises to their current
routine and were informed to refrain from exercise, alcohol,
or stimulants 36 hours before each visit. To ensure adequate
hydration, the subjects drank approximately 1 L of water the
night before and 0.5 L of water the morning of each trial.
Before the experimental conditions, each subject was
instructed to compile a minimum of 1 hour of SSM on
a blank CD that they would like to listen to while exercising.
For each condition, the subjects completed a Profile of
Mood States (POMS) questionnaire preexercise and post-
exercise, which quantified their individual levels of fatigue (F),
tension (T), vigor (V), anger (A), confusion (C), and
depression (D) (16). Rating of perceived exertion was
recorded 9 times during each condition using the OMNI
Resistance Exercise Scale (21) measuring 0–10 (after warm-
up, after each squat jump rep, after each bench press set, and
after the completion of the postexercise POMS).
Before the first experimental visit, the subjects reported to
the laboratory, and their height was measured in centimeters
using a stadiometer (Seca, Ontario, CA, USA), and body mass
was measured in kilograms using a digital scale (Ohaus,
ES200L, Pine Brook, NJ, USA). The subjects then performed
a 5-minute warm-up on a cycle-ergometer (Monark 828E,
Varberg, Sweden) at a self-selected workload and cadence.
Their 1RM was obtained for the parallel back squat and bench
press (counterbalanced order)
via a Muscle Maxx squat rack
(Power-Systems Fitness Equip-
ment, Knoxville, TN, USA)
following National Strength
and Conditioning Association
guidelines (2), where partici-
pants progressively increased
resistance after each successful
lift until their 1RM was
achieved.
When the subjects returned
to the laboratory for the first
experimental visit, a preexercise
POMS was completed, after
which they were instructed to
warm up for 5 minutes on the
cycle ergometer using the same
TABLE 1. Bench press reps per set and RPE
between conditions (mean 6SD).*
Self-selected music No music
Set 1 14.15 61.95 13.90 61.83
Set 2 7.80 61.67 7.35 61.56
Set 3 3.95 61.46 4.00 61.29
RPE 8.81 61.18 9.06 61.09
*RPE = rating of perceived exertion.
TABLE 2. Squat jump values for JH, TOV, RVD, rGRF, RFD, and RPE between
conditions (mean 6SD).*
Self-selected music No music Effect size
JH (cm) 24.65 64.05 24.22 65.20
rGRF (Nkg
21
) 12.94 62.61 12.39 62.50
TOV (ms
21
) 2.06 60.171.99 60.18 0.142
RVD (ms
22
) 5.92 61.465.63 61.70 0.063
RFD (Ns
21
) 3,175.61 61,792.372,519.12 61,470.32 0.209
RPE 5.71 61.37 6.36 61.610.310
*JH = jump height; TOV = takeoff velocity; RVD = rate of velocity development; rGRF =
relative ground reaction force; RFD = rate of force development; RPE = rating of perceived
exertion.
Significantly greater than other condition.
VOLUME 26 | NUMBER 7 | JULY 2012 | 1935
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procedure as that on the 1RM day. Immediately after the
warm-up, the subjects performed either 3 sets of the bench
press exercise or 3 squat jump reps (counterbalanced order).
The bench press consisted of 3 sets at 75% 1RM for reps to
failure with 2 minutes rest between sets. Failure was
determined when the bar traveled in the down direction
during the concentric phase. The squat jump consisted of 3
reps at 30% back squat 1RM with 1 minute rest between reps.
All the jumps were performed on an AMTI force plate
(Advanced Mechanical Technology, Inc., Watertown, MA,
USA) measuring jump height (JH), takeoff velocity (TOV),
rate of velocity development (RVD), relative ground reaction
force (rGRF), and rate of force development (RFD) were all
measured via the force plate. Squat jump data were sampled at
1,000 Hz and analyzed by custom LabVIEW software
(version 7.1, National Instruments Corporation, Austin, TX,
USA). At the end of each experimental visit, they completed
a postexercise POMS. During the second experimental visit,
the condition not performed in the first visit was used. On the
SSM visit, their music was played during the preexercise
POMS and continued throughout the condition until the
completion of the postexercise POMS.
Statistical Analyses
Descriptive statistics were calculated for all variables and
intraclass correlation coefficients (ICCs) were calculated for
bench press and squat jump reliability. A 2 39 (condition 3
time) repeated measures analysis of variance (ANOVA) was
used to analyze RPE. Six 2 32 (condition 3time) repeated
measures ANOVAs were used to analyze POMS scores of F,
T, V, A, C, and D. Five 2 33 (condition 3rep) repeated
measures ANOVAs were used to analyze squat jump JH,
TOV, RVD, rGRF, and RFD. A 2 33 (condition 3set)
repeated measures ANOVA was used to analyze bench press
reps to failure. The Statistical Package for the Social Sciences
(SPSS 19.0 for Windows, SPSS, Inc., Chicago, IL, USA) was
used for all analyses, and Alpha was set a priori at 0.05 for
significance.
RESULTS
Bench press reps to failure (ICC, 0.81) and RPE during bench
press revealed no interactions or main effects (Table 1).
Squat jump revealed no interactions or main effects for JH
(ICC, 0.95) or rGRF (ICC, 0.93). However, TOV (ICC, 0.84),
RFD (ICC, 0.72), RVD (ICC, 0.93), and RPE all exhibited
a main effect for condition. One-way ANOVA demonstrated
that TOV, RFD, and RVD were greater for SSM, whereas
RPE was greater for NM (Table 2).
The POMS scores revealed an interaction of condition and
time for fatigue. This was followed-up by two 1 32ANOVAs
for each time between conditions, which revealed no
difference in the preexercise POMS, but fatigue was
significantly greater postexercise in SSM compared with that
for NM. There was also a main effect of condition for tension
and vigor with both being greater for SSM compared with
NM. There were no interactions or main effects for anger,
confusion, or depression (Table 3).
DISCUSSION
The purpose of this study was to investigate the effects of SSM
on strength, explosiveness, and mood during the bench press
and squat jump exercises. The primary findings were that
SSM increased squat jump explosiveness and feelings of vigor,
tension, and fatigue. In contrast, squat jump RPE was greater
for NM. Bench press reps to failure and associated RPE were
not different between conditions. Therefore, the use of SSM
might enhance acute power performance.
A previous study by Karageorghis et al. (11) investigated
different types of predetermined music on grip strength.
They used stimulative and sedative music in which
stimulative music was characterized by 134 bmin
21
, whereas
sedative music measured 90 bmin
21
and found stimulative
music to have a positive effect on strength. Our current study
allowed the subjects to listen to SSM while performing
a bench press strength exercise, and we found no advantage.
A possible explanation for this might be that the SSM chosen
TABLE 3. Profile of mood states values between time and SSM and NM for F, T, V, A, C and D (mean 6SD).*
Pre-exercise Postexercise Condition average
SSM NM SSM NM SSM NM
F 2.45 62.56 3.55 63.39 8.65 64.497.40 64.38
T 6.45 62.96 4.50 63.37 10.35 65.02 7.65 63.16 8.40 63.996.07 63.26
V 21.15 65.88 18.10 66.47 19.15 65.28 16.80 65.22 20.15 65.5817.45 65.84
A 2.35 61.89 2.00 62.47 5.00 64.69 3.05 64.29
C 3.05 62.50 3.10 62.42 3.70 62.45 3.60 62.62
D 0.50 61.23 0.85 61.38 1.90 62.67 1.60 63.56
*SSM = self-selected music; NM = no music; F = fatigue; T = tension; V = vigor; A = anger; C = confusion; D = depression.
Significantly greater than the NM condition.
1936
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Effects of Self-Selected Music
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by our subjects was not stimulative enough to overcome the
physically taxing demands of a prolonged strength exercise.
In a study conducted by Lim et al. (15), the subjects
completed three 10-km cycling time trials on an ergometer in
a control condition, or music delivered from 0 to 5 km or
music delivered from 5 to 10 km. The subjects reported
no difference in RPE, interpreting all the trials as being
equally difficult. As in our current study, the subjects reported
no difference in the bench press RPE between conditions,
which may have been so because of the extended length and
intensity of the exercise.
We found SSM to have a positive effect on squat jump
TOV, RVD, and RFD. Our findings are similar to that of
Eliakim et al. (8) who used the Wingate Anaerobic Test to
measure power of elite adolescent volleyball players. Their
subjects were exposed to arousing predetermined music
characterized by 140 bmin
21
for 10 minutes before
performing the Wingate test, and they found increased peak
anaerobic power in the first 5 seconds. Based on these results,
it appears that motivating and or SSM may be beneficial
during acute explosive, high-intensity exercise.
Previous research suggests that listening to music while
exercising provides dissociation from the fatigue and
discomfort that is inherent with exercise (1,9,10,12) by
altering the focus of attention to the external information
(17). Similar to the findings of Hayakawa et al. (10), our
subjects reported having increased vigor with SSM com-
pared with that in NM. Our subjects also reported greater
tension during the SSM condition compared that in NM
while reporting no difference in anger, confusion, or
depression between conditions. Different from the findings
of Hayakawa et al. (10), feelings of fatigue in our study were
greater in the SSM condition postexercise. This might be
partly explained by our study showing increased squat jump
explosiveness, which suggests that the subjects were
exercising at their maximal level during the SSM condition.
Therefore, the increased feelings of fatigue might have been
associated with the greater performance measures, which
were related to the dissociative focus of the attention effect of
the SSM as evident in their feelings of increased vigor.
Because the mechanism as to why the use of music may
improve performance is still unclear, some research has
suggested varied arousal levels or motivational factors.
Ferguson et al. (9) examined the effects of positive and
negative music on performance of a karate drill. They had
subjects perform a kata after a 1-minute exposure to positive
music, negative music, or white noise. Their results revealed
a greater performance on exposure to music with there being
no differences between positive or negative music conditions.
Postexperimental evaluation of the subject’s self-perceived
performance indicated that 11 subjects felt more comfortable
and 10 subjects felt more relaxed after listening to music.
Another study evaluated weightlifters for 6 months to 3
years while they listened to music during training (14).
Weightlifters were asked about their attitude toward training;
mood, quality of work, general state at the beginning of
training, general state at the end of training, intensity of
training, and satisfaction with training. The results indicated
that 89% of the weightlifters improved the quality of their
training with the accompaniment of music, with 97%
increasing the volume, and 98% increasing the intensity.
In conclusion, many studies have examined the potential
benefits of incorporating music into exercise, but this study is
one of the few to demonstrate improved anaerobic
performance. SSM was able to alter mood and enhance
acute explosive physical performance while decreasing
perceived exertion, yet it had no effect on reps to failure in
a multiple-set strength exercise. This incongruity of results
should be further investigated by having subjects self-select
music specifically for either a strength or power exercise.
PRACTICAL APPLICATIONS
Enhancing performance is a common goal for strength and
conditioning specialists, coaches, and athletes. Our study
demonstrates that SSM alters mood state, and it increases
acute explosive performance but provides no change in
strength training. Therefore, those interested in increasing
explosive exercise performance might want to allow athletes
to use SSM to enhance acute power.
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... In the maximal strength test, it was found that the preferred music did not increase maximal strength performance compared to the other conditions. We observed that participants perceived a lower degree of exertion when listening to a preferred music genre after strength endurance exercises, confirming previous results from other studies (Biagini et al., 2012;Nakamura et al., 2010). found an approximately 6% reduction in RPE when participants performed a strength test while listening to their preferred music, compared to without music and non-preferred music listening conditions. ...
... Music appears to reduce perceived exertion and improve positive mood during exercise (Ballmann et al., 2020;Carlier & Delevoye-Turrell, 2017). Biagini et al. (2012) reported that in strengthendurance tests with and without self-selected music, they noticed a lower RPE when participants listened to music compared to without music. According to Biagini et al. (2012), even if individuals feel more tired, their subjective perception of effort tends to decrease when they hear their preferred music style. ...
... Biagini et al. (2012) reported that in strengthendurance tests with and without self-selected music, they noticed a lower RPE when participants listened to music compared to without music. According to Biagini et al. (2012), even if individuals feel more tired, their subjective perception of effort tends to decrease when they hear their preferred music style. They suggest that music can reduce physiological responses in athletes while performing resistance exercises. ...
Article
The purpose of this study was to examine the effects of listening to the music of choice of individuals performing strength training during training on maximal strength, strength endurance, and perceived exertion. 16 men with 1-2 years of strength training experience participated in the study. Participants' perceived exertion levels, maximum strength, and strength endurance with 75% of 1 maximum repetition were measured with the Borg scale on different days with their preferred music, non-preferred music, and no music. According to the results of the study, according to the perceived difficulty levels measured after the strength maintenance test, it is seen that preferred music (F=6.323; p0.656). According to the results of the strength endurance test, it is seen that preferred music (F=5.737; p0.05). As a result, listening to the music that participants prefer during warm-up and exercise increases their strength endurance and decreases the perceived effort after strength endurance. It is observed that preferred or non-preferred music does not make any progress in maximal strength. Personal music preferences and listening to music with headphones during exercise sessions are recommended to improve strength and reduce perceived effort. Because music can redirect the individual's attention to thoughts unrelated to exercise at that moment. This can lead to less fatigue. At the same time, music is easily accessible, does not impose any extra cost on the person, and is seen to be effective as a psychological ergogenic aid.
... Extant research has frequently tested music use within laboratory settings, gauging its potential effects on treadmill or cycle ergometer performance, and resistance training tasks (3,8,18,48). These works have yielded conflicting findings that could relate to the different intensity levels of those tasks. ...
... They were asked (via e-mail) to create this playlist prior to their first session and continue to bring it with their music-playing device and headphones to each subsequent session. In consideration of previous studies (3,48), the decision was made to allow participant to autonomously make their musical selections. During the researcher-selected music condition, participants listened to pre-selected music downloaded (by the researcher) from the Audiofuel website during the running task. ...
... These results are inconsistent to those that indicate an effect of International Journal of Exercise Science http://www.intjexersci.com 318 music on running (27,47) and other athletic performances (3,22,54). These findings are consistent with others who also reported no effect of music on outcome performance (e.g., 14,51). ...
... 2021). Específicamente, a nivel psicológico, escuchar música influye positivamente en la valencia afectiva, el estado de ánimo y la sensación de fatiga (Biagini et al., 2012;Carraro et al., 2018;Chtourou et al., 12;Kilpatrick et al., 2007;Liu et al., 2021). A nivel fisiológico se ha evidenciado que escuchar música durante el ejercicio influye en el consumo de oxígeno máximo, gasto cardiaco, aclaramiento de lactato y en diversas respuestas hormonales (Birnbaum et al., 2009;Ghaderi et al., 2009;Sonmez et al., 2015). ...
... Los resultados del presente estudio demostraron que el uso de la música para sincronizar el ritmo y velocidad de ejercicio de intensidad moderada (EF sincronizado) se asoció con una menor FC y FC pico en comparación con la sesión de EF no sincronizado musicalmente. Estos hallazgos corroboran estudios anteriores (Ballmann et al., 2019;Biagini et al., 2012;Carraro et al., 2018;Chow & Etnier, 2017;Chtourou et al., 2012;Karageorghis & Priest, 2012;Kilpatrick et al., 2007;Liu et al., 2021), que indican que el ejercicio coreografiado, especialmente cuando se asocia con música (sincronizado), puede modular la respuesta fisiológica al ejercicio, posiblemente debido al efecto motivacional de la melodía y al ritmo de la música, lo que puede facilitar un movimiento más fluido y menos extenuante. ...
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Objetivo: Comparar la respuesta fisiológica del sistema cardiorrespiratorio durante dos sesiones de ejercicio; una sincronizada con música, y la otra dirigida por un instructor mientras se escucha música de preferencia personal. Metodología: Se llevó a cabo un estudio cuasiexperimental cruzado con 13 individuos (7 hombres, edad media 23,7 años). Los participantes realizaron dos sesiones de ejercicio: una con sincronización musical y otra no sincronizada, pero escuchando la música de preferencia personal, con un intervalo de 72 horas entre las sesiones. Se evaluaron la frecuencia cardíaca (FC), la percepción de esfuerzo (PE), la carga interna de entrenamiento (CIE) y la variabilidad del ritmo cardíaco (VRC) durante las sesiones. Resultados: Durante la sesión sincronizada, se observaron valores significativamente más bajos de FC media y FC pico (Δ-5,5% y Δ-5,2%, respectivamente) y una menor PE pico (Δ-9,9%) en comparación con la sesión no sincronizada. La CIE también fue menor (Δ-10%) en el ejercicio sincronizado. No se encontraron diferencias significativas en la VRC entre las sesiones. Las variaciones de la FC y la PE fueron determinadas por los cambios temporales durante las sesiones. Solo los cambios en la FC fueron determinados por la sincronización musical de los ejercicios. Conclusiones: En la muestra estudiada, el ejercicio musicalmente sincronizado resultó en una menor intensidad cardiovascular percibida, sin variaciones sobre la regulación autonómica.
... While previous studies [36][37][38] reported no significant effects of motivational music on short-term, high-intensity efforts, other research has demonstrated that incorporating music during warm-ups can significantly boost peak power and overall performance [43,114,115]. Similarly, Jebabli et al. [116] reported that listening to music improves jump height during repeated CMJs to exhaustion. ...
Article
Listening to self-selected motivational music (SSMM) during warm-ups and caffeine (CAF) intake prior to exercise can independently enhance athletic performance among female athletes. Likewise, the potential synergistic effects of these interventions have not yet been thoroughly examined. Objective: The purpose of the study was to assess the independent and combined effects of SSMM during warm-up and pre-exercise CAF intake on maximal short-duration performance in female athletes. Methods: Seventeen female handball players (aged 16.7 ± 0.4 years) participated in a randomized, double-blind, crossover study. Each athlete completed four conditions: (i) placebo (PLA) with no interventions, (ii) music and placebo (MUS), (iii) caffeine intake only (CAF), and (iv) a combination of music and caffeine (MUS + CAF). Performance assessments included the countermovement jump (CMJ), modified agility t-test (MAT), repeated-sprint ability (RSA) test (mean and peak sprint performance), and rating of perceived exertion (RPE). Results: The MUS (p > 0.05; p < 0.01; p < 0.01; p < 0.001, respectively), CAF (all p < 0.001), and MUS + CAF (all p < 0.01) conditions significantly outperformed the PLA condition in CMJ, MAT, RSA mean, and RSA peak measures. No significant differences were observed between the CAF and MUS + CAF conditions; however, the best performances were recorded during MUS + CAF. RPE scores remained consistent across conditions. Conclusions: Warm-up routines incorporating either SSMM or a moderate dose of CAF (6 mg·kg−1) enhance anaerobic performance in female athletes. While both interventions are effective independently, CAF intake elicits a stronger effect. Although no significant difference was demonstrated for this combination, the concurrent use of SSMM and CAF appears to produce a potential effect, emerging as the most effective strategy for optimizing anaerobic performance.
... Today, it is a popular training tool among athletes, valued for its positive effects on affective and emotional states, as well as its ergogenic effects on physical performance (e.g., cardiovascular and respiratory function), perceived exertion, and oxygen consumption (2). In this context, several studies have confirmed the ability of resistance training exercises while listening to music to increase muscular strength performance and the number of repetitions performed during training sessions, and to reduce the perception of fatigue (3,4). For performance-enhancing purposes, music can be listened to before or during physical exercise. ...
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Introduction The study aimed to investigate and confirm from a physiological and psychological perspective whether preferred music would influence anaerobic performance during the Running-Based Anaerobic Sprint Test (RAST). Methods A total of 18 (men, n = 12, women, n = 6) sub-élite track-and-field and football athletes (mean age 22.2 ± 2.1 years, mean height 175.3 ± 8.0 cm, mean weight 66.4 ± 10.6 kg, mean BMI 21.5 ± 2.2 kg/m²) were voluntarily recruited. The RAST procedure was performed by recording maximum power (Pmax), average power (Pmean), minimum power (Pmin), rating of perceived exertion (RPE), and motivational level (visual analog scale) while listening to preferred or no music through headphones. Results Listening to music significantly increased motivation (p < 0.001, effect size = 1.31, very large) compared to no music. However, no significant differences were observed in other performance variables between the “with music” and “without music” conditions. Conclusions Overall, listening to preferred music during an anaerobic exercise improves motivation as confirmed by previous evidence. This could be helpful for athletes to strive for even higher goals by improving their current performance level.
... Η χρήση της ακρόασης μουσικής μεταξύ των αθλούμενων φαίνεται να αποτελεί κοινή πρακτική διότι έχει ως βασικό στόχο τη δημιουργία κατάλληλης διάθεσης για το στάδιο άθλησης στο οποίο βρίσκονται οι αθλούμενοι, την ενεργοποίησή τους και την αυξομείωση των επιπέδων διέγερσής τους (Bishop et al., 2007· Haluk & Turchian, 2009· Karageorghis & Priest, 2012· Laukka & Quick, 2013· Stevens & Lane, 2001. Έρευνες έχουν δείξει ότι η ακρόαση μουσικής κατά την άθληση μπορεί να βοηθήσει τους αθλούμενους να βελτιώσουν τις επιδόσεις τους σε διάφορα αθλήματα όταν η ακρόαση πραγματοποιείται τόσο κατά την προετοιμασία -προθέρμανση (Chtourou, et al., 2012a· Chtourou et al., 2012b· Jarraya et al., 2012 όσο και παράλληλα με την κύρια αθλητική δραστηριότητα (Biagini et al., 2012· Crust & Clough, 2006· Edworthy & Waring, 2006· Ferguson et al., 1994· Jarraya & Jarraya, 2017· Tate et al., 2012· Terry et al., 2011· Terry et al., 2012· Waterhouse et al., 2010· Yu, 2014. Η ευεργετική επίδραση της ακρόασης μουσικής κατά την άθληση μπορεί επίσης να αφορά τη μείωση του αισθήματος της δυσφορίας, του στρες και της κόπωσης από την αθλητική δραστηριότητα και τη δημιουργία θετικότερης διάθεσης στους ασκούμενους, συνεπώς συμβάλει στην ευεξία και τη βελτίωση της αθλητικής εμπειρίας ( Οι σχετικές έρευνες αναδεικνύουν συγκεκριμένα χαρακτηριστικά της μουσικής τα οποία επηρεάζουν το μέγεθος της ευεργετικής επίδρασης της μουσικής στους αθλούμενους και αυτά είναι η ταχύτητα και η ένταση της μουσικής (Chtourou et al., 2012a· Chtourou et al., 2012b· Edworthy & Waring, 2006· Jarraya et al., 2012· Karageorghis et al., Cheek et al., 2018· Terry et al., 2012· Yu, 2014. ...
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Η ακρόαση μουσικής είναι μία καθημερινή δραστηριότητα η οποία πραγματοποιείται ακούσια ή εκούσια σε ποικίλα περιβάλλοντα. Μία από τις λειτουργίες της είναι η μουσική ως υπόβαθρο κατά την εκτέλεση παράλληλων δραστηριοτήτων με στόχο να επιδράσει στο άτομο και να επηρεάσει την εκτέλεση της παράλληλης δραστηριότητας. Η επιστημονική έρευνα αναδεικνύει τις επιδράσεις της μουσικής ως υπόβαθρο στη συμπεριφορά του ατόμου, στον τρόπο που βιώνει την παράλληλη δραστηριότητα, στην απόδοσή του σε αυτήν, στην αντίληψή του και στη συναισθηματική του κατάσταση. Στο παρόν κεφάλαιο παρουσιάζονται τα ευρήματα από τις σχετικές έρευνες του πεδίου και αναδεικνύονται τα χαρακτηριστικά των μουσικών ερεθισμάτων τα οποία φαίνεται να επηρεάζουν τον τρόπο που η μουσική υποβάθρου θα επιδράσει στον ακροατή. Ως ιδιαίτερα σημαντικοί παράγοντες για την επίδραση που θα ασκήσει η μουσική υποβάθρου στον ακροατή αναδεικνύονται η ταχύτητα (τέμπο - ρυθμική αγωγή) της μουσικής, ο βαθμός εξοικείωσης του ακροατή με τα μουσικά ερεθίσματα, οι μουσικές του προτιμήσεις, η ένταση της μουσικής, ο χώρος και οι συνθήκες στις οποίες πραγματοποιείται η ακρόαση, το κοινωνικό πλαίσιο και η καταλληλότητα των μουσικών ερεθισμάτων σύμφωνα με τη λειτουργία που επιτελεί η μουσική τη δεδομένη στιγμή.
... We found that the Mus + PLA condition significantly improved anaerobic performance compared with the control group, which may be attributed to increased subjective feelings of energy or vitality. The properties of music, such as high-tempo and preferred music, are thought to modulate increases in arousal with concomitant increases in performance [52,53]. Additionally, listening to music can cause changes in physiological factors [54]; for example, it has been demonstrated that music has been shown to increase adrenaline levels during exercise [55], which may ultimately affect muscle activation and metabolic responses during subsequent exercise. ...
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Background: Both listening to music during warm-up and consuming caffeine before exercise have been independently shown to enhance athletic performance. However, the potential synergistic effects of combining these strategies remain largely unexplored. To date, only two studies have reported additional benefits to combining music during warm-up with a caffeine dose of 3 mg/kg on taekwondo-specific performance tasks. However, these studies did not evaluate whether this combination produces additive or synergistic effects on other types of sports performance. The present study aimed to assess the effects of listening to music alone or combined with caffeine intake on performance in the Wingate anaerobic test (WAnT) in physically active subjects. Methods: Twenty-four physically active male participants took part in this randomized, double-blind, crossover experiment. Participants underwent WAnT performance evaluations under three conditions: (i) no intervention (control; CON); (ii) music plus placebo (Mus + PLA), involving the intake of a placebo (maltodextrin) 60 min prior and self-selected high-tempo music during warm-up; and (iii) music plus caffeine (Mus + CAF), involving the intake of 3 mg/kg of caffeine 60 min prior and self-selected high-tempo music during warm-up. Under all conditions, participants wore the same Bluetooth headphones (with or without music), performed a 10 min standardized warm-up, and completed the 30 s WAnT with a load of 7.5% of their body weight on a calibrated ergometer. Power output was recorded at a frequency of 1 Hz throughout the exercise. The Feeling Scale was assessed both before and after the exercise test, while heart rate (HR) and the rating of perceived exertion (RPE) were measured immediately following the exercise. Results: Mus + PLA and Mus + CAF significantly improved peak power, mean power, and total work compared with CON (p < 0.05). Furthermore, peak power was higher in Mus + CAF than in Mus + PLA (p = 0.01). Post-exercise HR and RPE showed no significant differences across conditions (p > 0.05). Regarding the Feeling Scale (FS) before exercise, the Mus + PLA and Mus + CAF conditions showed significantly higher scores than CON (p < 0.05), while no differences were found after exercise. The perceived fitness metrics displayed no significant differences among conditions (p > 0.05), except for self-perceived power, which was higher in Mus + CAF than in CON (p = 0.03). Conclusions: Self-selected music during warm-up, either alone or combined with caffeine, significantly enhanced several WAnT performance metrics, including peak power, mean power, and total work. Remarkably, combining music with caffeine further improved peak power and increased self-perceived power compared with music alone. While listening to self-selected music during warm-up provided measurable benefits on anaerobic exercise performance, the combination of music and caffeine demonstrated additive effects, making it the optimal strategy for maximizing anaerobic performance.
... Dynamic music, motivating music, and music with a pronounced rhythm can significantly amplify the emotional condition of those involved in physical exercise. Lane and Terry (2000) discovered that including vibrant music can greatly enhance the emotional well-being of athletes and amplify the pleasure they derive from participating in PA. Biagini et al. (2012) shown that the utilization of motivational music improves an individual's emotional state and stimulates them to actively engage and get enjoyment from physical exercises. Karageorghis and Priest (2008) discovered that rhythmic music can enhance the emotional well-being of athletes by promoting positive emotions and diminishing negative emotions. ...
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The application of music in sport can enhance training and competition performance. This study explored the effects of different music genres on students' emotional, psychological, and athletic performance. Motivational music (e.g., blues, jazz, classical) has reflective and complex qualities, with a tempo of 60-80 beats per minute; high-tempo music (e.g., rock, heavy metal, alternative) has intense and rebellious characteristics, with a tempo of 120-140 beats per minute; upbeat music (e.g., pop music, New German Wave), film music, and popular German music have cheerful and traditional qualities, with a tempo of 100-130 beats per minute; rhythmic music (e.g., soul/R&B, rap/hip-hop, and electronic music), have strong rhythmic features, with a tempo of 80-100 beats per minute; and self-selected music is chosen by the participants based on preference. Using a structured questionnaire, data were collected from 400 students at Shandong Sport University (50.8% male, 49.3% female, ages 18-21) to assess demographics, music preferences (Short Test of Music Preferences), psychological responses (Sport Emotions Questionnaire (SEQ) and Attention Questionnaire (AQ-RARC), sport motivation (adapted from Gill et al., 1983), and physical performance (International Fitness Inventory). Results from the PLS-SEM analysis indicated a composite reliability (CR ≥0.7) and an average variance extracted (AVE ≥0.5), meeting the Fornell-Larcker criteria for the model's reliability and validity. Model fit indices (SRMR, RMSEA < 0.08; CFI > 0.90) and path coefficient (t-value > 1.96), confirmed significance, with an R² value > 0.3 and a Q² value > 0, demonstrating the model's explanatory and predictive power. Findings suggest that different music genres significantly enhance students' athletic performance and psychological well-being.
... Selain daripada peningkatan nadi, peneliti juga mendapatkan hasil peningkatan beban dan repetisi terjadi dalam kondisi latihan Bench press saat mendengarkan musik trap dibandingkan tanpa mendengar musik. Hal ini sesuai seperti dengan penelitian yang dilakukan oleh (Biagini et al., 2012). ...
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This study aims to see the effect of trap music intervention on bench press performance. The method used in this research is experimental type research with a crossover design and non-random sampling techniques. The sample was divided into two groups who would do bench press training while listening to trap music and without trap music. Bench press performance is measured in terms of changes in heart rate, upper arm circumference, number of repetitions and total weight that can be lifted. The data obtained were tested using the Shapiro-Wilk normality test and the dependent t test. The research sample consisted of twenty male people with an age range of 18-33 years. The results obtained were the mean difference in heart rate without music compared to music (24.85 ± 8.15) with a P value <0.001. The mean change in weight that can be lifted without music is compared with music (7.25 ± 2.55) with a P value <0.001. The mean change in repetitions without music compared with music (1.05 ± 0.60) with a P value <0.001. The mean change in right upper arm circumference without music was compared with music (0.27 ± 0.24) with a P value <0.001. The results obtained showed an increase in bench press performance in the group with trap music compared to the group without music. Participants who listened to trap music showed an increase in heart rate, upper arm circumference, number of repetitions and total weight lifted.
Article
Background: Verbal feedback (knowledge of results [KR]) and listening to music are common ergogenic strategies used by coaches to boost athletes’ performance during resistance exercise. However, no previous research has explored their effects when both strategies are combined within the same exercise session (KR+music). This study aimed to examine the impact of providing KR, listening to music, and their combined effects on: (i) mechanical responses (number of repetitions, fastest velocity, and average velocity within a set) and (ii) perceptual responses (feeling scale [FS], rating of perceived exertion [RPE], and rate of perceived discomfort [RPD]) when a determined percentage of velocity loss (%VL) is prescribed. Hypothesis: Providing KR or listening to music would provide an ergogenic effect on these outcomes while KR+music can compromise the mechanical performance. Study-design: Cross-sectional study. Level of evidence: 3 Methods: Fifteen recreational resistance-trained males were tested on five occasions separated by a 48-72 hour washout-period. The first session was used to determine the bench press one-repetition maximum (1RM) strength while the four experimental sessions were identical (four sets at 70% 1RM with a 20%VL during bench press exercise) except for the intervention (i.e., control, KR, music, and KR+music) randomly used on each session. Results: The findings revealed that: i) mechanical performance was significantly greater for the music condition (from 5.7% to 20.4%), followed by the KR+music condition (from 4.9% to 15.4%) and KR condition (from -0.4% to 8.1%) and ii) greater FS values were found for music compared to control condition, while no significant differences were reported for RPE or RPD. Conclusions: Listening to music enhances bench press performance and mood, while adding KR does not compromise its benefits. Clinical relevance: Recreational athletes’ performance may benefit from listening to music while KR+music does not compromise their effects. However, athlete preference should take priority when implementing these ergogenic strategies.
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To determine whether different kinds of music have differential effects on arousal as measured by grip strength, subjects' initial grip strength was measured and then their grip strength was measured while they listened to stimulative music, sedative music, and silence. Analyses of variance indicated that listening to sedative music decreased strength relative to silence, while listening to stimulative music had no effect on grip strength relative to silence.
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The aim of this study was to investigate the effects of preferred and nonpreferred music on exercise distance, Heart Rate (HR), and Rating of Perceived Exertion (RPE) during continuous cycling exercise performed at high intensity. Fifteen participants performed five test sessions. During two sessions, they cycled with fixed workload on ergometer to determine the Critical Power (CP) intensity. Then, they performed three more sessions cycling at CP intensity: listening to Preferred Music, listening to Nonpreferred Music, and No Music. The HR responses in the exercise sessions did not differ among all conditions. However, the RPE was higher for Nonpreferred Music than in the other conditions. The performance under Preferred Music (9.8 ± 4.6km) was greater than under Nonpreferred Music (7.1 ± 3.5km) conditions. Therefore, listening to Preferred Music during continuous cycling exercise at high intensity can increase the exercise distance, and individuals listening to Nonpreferred Music can perceive more discomfort caused by the exercise.
Article
Reports on 2 studies of the relationships between music, heart rate (HR), and performance (PF) in physical tasks, using 70 university students. In the 1st study, 30 Ss performed a dart-throwing task on 3 occasions: without music, after listening to slow classical music, and after listening to fast modern music. PF did not differ across conditions, but HR was significantly lowered after listening to either type of music. In the 2nd study, the possible relationship between music and imagery was examined in 40 Ss by comparing preparation with imagery alone or imagery plus music for PF of number of bent-knee sit-ups done in 30 sec. Task PF improved equally over baseline for both groups. The imagery-plus-music group showed a significant increase in HR during preparation, but HR was not related to task PF. (French abstract) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Article
The present study examined the impact of motivational music and oudeterous (neutral in terms of motivational qualities) music on endurance and a range of psychophysical indices during a treadmill walking task. Experimental participants (N=30; mean age=20.5 years, SD=1.0 years) selected a program of either pop or rock tracks from artists identified in an earlier survey. They walked to exhaustion, starting at 75% maximal heart rate reserve, under conditions of motivational synchronous music, oudeterous synchronous music, and a no-music control. Dependent measures included time to exhaustion, ratings of perceived exertion (RPE), and in-task affect (both recorded at 2-min intervals), and exercise-induced feeling states. A one-way repeated measures ANOVA was used to analyze time to exhaustion data. Two-way repeated measures (Music Condition ? Trial Point) ANOVAs were used to analyze in-task measures, whereas a one-way repeated measures MANOVA was used to analyze the exercise-induced feeling states data. Results indicated that endurance was increased in both music conditions and that motivational music had a greater ergogenic effect than did oudeterous music (p<.01). In addition, in-task affect was enhanced by motivational synchronous music when compared with control throughout the trial (p<.01). The experimental conditions did not impact significantly (p>.05) upon RPE or exercise-induced feeling states, although a moderate effect size was recorded for the latter (etap2=.09). The present results indicate that motivational synchronous music can elicit an ergogenic effect and enhance in-task affect during an exhaustive endurance task.
Article
The aim of this study was to investigate the effects of music introduced and removed during a 10-km cycling time trial with reference to Rejeski's parallel processing theory and Karageorghis, Terry and Lane's conceptual framework for the prediction of responses to asynchronous music during sub-maximal exercise. A range of performance variables, ratings of perceived exertion, positive affect, negative affect, and blood lactate were assessed. Eleven males (mean age=24.9, s=6.1 years) completed a 10-km time trial under three conditions; no music, music played initially then removed between 5-10 km, and music played between 5-10 km only. Variables of time, power, cadence, speed, RPE, blood lactate, positive and negative affect were analysed using a ConditionxDistance ANOVA. There was no significant main effect for music conditions for the performance variables, perceived exertion, blood lactate, and affect (p>0.05). Nevertheless, a significant interaction effect for ConditionxDistance was found for cycling speed, with participants cycling 1-1.25 km/h faster at the start of the music introduced time trial than in both the music removed and no music time trials (p<0.05). The results indicate that performance and affect during a 10 km time trial are influenced by the introduction and/or removal of music during exercise and this finding can be used to extend current theory as it does not specifically address the periodic use music. The fact that participants exercised harder when they expected music to be introduced at a later stage illustrates the behavioural influences that music can engender during self-paced exercise.