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The Effect of Music on the Human Stress Response

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Music listening has been suggested to beneficially impact health via stress-reducing effects. However, the existing literature presents itself with a limited number of investigations and with discrepancies in reported findings that may result from methodological shortcomings (e.g. small sample size, no valid stressor). It was the aim of the current study to address this gap in knowledge and overcome previous shortcomings by thoroughly examining music effects across endocrine, autonomic, cognitive, and emotional domains of the human stress response. Sixty healthy female volunteers (mean age = 25 years) were exposed to a standardized psychosocial stress test after having been randomly assigned to one of three different conditions prior to the stress test: 1) relaxing music ('Miserere', Allegri) (RM), 2) sound of rippling water (SW), and 3) rest without acoustic stimulation (R). Salivary cortisol and salivary alpha-amylase (sAA), heart rate (HR), respiratory sinus arrhythmia (RSA), subjective stress perception and anxiety were repeatedly assessed in all subjects. We hypothesized that listening to RM prior to the stress test, compared to SW or R would result in a decreased stress response across all measured parameters. The three conditions significantly differed regarding cortisol response (p = 0.025) to the stressor, with highest concentrations in the RM and lowest in the SW condition. After the stressor, sAA (p=0.026) baseline values were reached considerably faster in the RM group than in the R group. HR and psychological measures did not significantly differ between groups. Our findings indicate that music listening impacted the psychobiological stress system. Listening to music prior to a standardized stressor predominantly affected the autonomic nervous system (in terms of a faster recovery), and to a lesser degree the endocrine and psychological stress response. These findings may help better understanding the beneficial effects of music on the human body.
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The Effect of Music on the Human Stress Response
Myriam V. Thoma
1,2
, Roberto La Marca
2
, Rebecca Brönnimann
2
, Linda Finkel
2
, Ulrike Ehlert
2
, Urs M.
Nater
3*
1 Department of Psychology, Brandeis University, Waltham, Massachusetts, United States of America, 2 Clinical Psychology & Psychotherapy, University of
Zürich, Zürich, Switzerland, 3 Clinical Biopsychology, University of Marburg, Marburg, Germany
Abstract
Background: Music listening has been suggested to beneficially impact health via stress-reducing effects. However,
the existing literature presents itself with a limited number of investigations and with discrepancies in reported
findings that may result from methodological shortcomings (e.g. small sample size, no valid stressor). It was the aim
of the current study to address this gap in knowledge and overcome previous shortcomings by thoroughly examining
music effects across endocrine, autonomic, cognitive, and emotional domains of the human stress response.
Methods: Sixty healthy female volunteers (mean age = 25 years) were exposed to a standardized psychosocial
stress test after having been randomly assigned to one of three different conditions prior to the stress test: 1) relaxing
music (‘Miserere’, Allegri) (RM), 2) sound of rippling water (SW), and 3) rest without acoustic stimulation (R). Salivary
cortisol and salivary alpha-amylase (sAA), heart rate (HR), respiratory sinus arrhythmia (RSA), subjective stress
perception and anxiety were repeatedly assessed in all subjects. We hypothesized that listening to RM prior to the
stress test, compared to SW or R would result in a decreased stress response across all measured parameters.
Results: The three conditions significantly differed regarding cortisol response (p = 0.025) to the stressor, with
highest concentrations in the RM and lowest in the SW condition. After the stressor, sAA (p=0.026) baseline values
were reached considerably faster in the RM group than in the R group. HR and psychological measures did not
significantly differ between groups.
Conclusion: Our findings indicate that music listening impacted the psychobiological stress system. Listening to
music prior to a standardized stressor predominantly affected the autonomic nervous system (in terms of a faster
recovery), and to a lesser degree the endocrine and psychological stress response. These findings may help better
understanding the beneficial effects of music on the human body.
Citation: Thoma MV, La Marca R, Brönnimann R, Finkel L, Ehlert U, et al. (2013) The Effect of Music on the Human Stress Response. PLoS ONE 8(8):
e70156. doi:10.1371/journal.pone.0070156
Editor: Robert L. Newton, Pennington Biomedical Research Center, United States of America
Received April 12, 2012; Accepted June 20, 2013; Published August 5, 2013
Copyright: © 2013 Thoma et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This study was supported by a grant from the Young Investigator Grant of the University of Zurich: (http://www.researchers.uzh.ch/promotion/
forschungskredit_en.html). Grant no: 56233208 (MVT). The funders had no role in study design, data collection and analysis, decision to publish, or
preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
* E-mail: nater@uni-marburg.de
Introduction
Prolonged experiences of stress are related to poor
individual health [1,2] and associated with substantial financial
costs for the society [3]. As a result, the development of cost
effective stress prevention or stress management approaches
has become an important endeavor of current research efforts.
Music has been shown to beneficially affect stress-related
physiological [4–6], as well as cognitive [7], and emotional
processes [8,9]. Thus, the use of listening to music as an
economic, non-invasive, and highly accepted intervention tool
has received special interest in the management of stress and
stress-related health issues.
The experience of stress arises when an individual perceives
the demands from the environment ‘…as taxing or exceeding
his or her resources and endangering his or her well-being'
[10]. Accordingly, physiologic stress effects are regulated by
top-down central nervous system processes (=cognitive stress
component, e.g. ‘I can’t cope with the situation’), as well as by
sub-cortical processes within the limbic system (=emotional
stress component, e.g. ‘anxiety’). Both areas forward their
messages (e.g. ‘I am in danger!’) via neuronal pathways to a
central control system, the hypothalamus [11]. The
hypothalamus is closely intertwined with two major stress
systems, the hypothalamus-pituitary-adrenal (HPA) axis and
the sympathetic nervous system (SNS) (=physiologic stress
component, i.e. endocrine and autonomous responses).
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Together, the HPA axis and the SNS orchestrate various
psychological (e.g. emotional processing) and physiological
(e.g. endocrine and cardiovascular activation) processes to
ensure the maintenance of the homeostasis of the organism
that is challenged by the experience of stress [11–13]. The
main effector of the HPA axis is the so-called ‘stress’ hormone
cortisol; its concentration is measured and evaluated in order to
have an index for HPA axis activation [14,15]. Salivary alpha-
amylase (sAA) is a novel biochemical index for sympathetic
nervous system (SNS) activity [16–19]. Both parameters
obtained particular interest in stress research as unlike more
traditional blood-derived stress markers (e.g. epinephrine and
norepinephrine), they can conveniently be assessed in saliva.
Taken together, the experience of stress is a multi-faceted
phenomenon that comprises cognitive and emotional
components that are closely intertwined with physiological
systems, whose messengers / effectors found in saliva can be
applied to objectively measure stress responses.
Research on potentially beneficial effects of music listening
on HPA axis functioning, i.e. on stress-induced cortisol release,
has only recently been established. Significant positive
changes in cortisol were reported when listening to music
before and / or during medical interventions considered
stressful (decreases and lower increases in cortisol) [20–22]
and after such interventions (greater reductions in cortisol)
[23,24]. The few laboratory-based studies show inconsistent
findings, though: some report that music was effective in
suppressing a stress-related increase in cortisol [25], or in
decreasing cortisol levels following a stressor when compared
to a non-music control condition [5]. However, some other
investigations did not find a meaningful impact of music on
cortisol [26,27]. As a consequence, no final conclusions can be
drawn about whether or how music listening influences stress-
induced cortisol levels.
The research on beneficial effects on SNS parameters has a
longer tradition: A series of clinical and laboratory-based
studies revealed that listening to music can decrease
sympathetic activity [28–30]. However, positive SNS effects of
listening to music are not consistently reported [30,31]. It is
conceivable that knowledge achieved from the effects of music
on an additional SNS parameter, such as the newly established
sAA, would help to increase understanding of inconsistent
previous reports. However, to date no laboratory study exists
that has investigated the effects of music on stress-induced
sAA levels.
As listening to music has the capacity to initiate a multitude
of cognitive processes in the brain [32], it might be assumed
that music also influences stress-related cognitive processes
and, as a consequence, physiological responses. Previous
investigations found reductions in perceived levels of
psychological stress, increased coping abilities, or altered
levels in perceived relaxation after listening to music in the
context of a stressful situation [7,33]. Another line of research
has focused on the effects of music on anxiety, which may be
considered an adaptive response to the experience of stress.
Given that music listening can trigger activity in brain regions
linked to the experience of (intense) emotions [8,34–36],
listening to music might also modulate anxiety levels induced
by the experience of stress. Indeed, a decrease in anxiety after
listening to music is the most consistent findings reported in
field studies with patients [22,37,38] and laboratory-based
studies [26,39]. Nevertheless, not all investigations found
anxiety reductions through music listening [40–42]. Also here,
no final conclusions can be drawn whether or how music is
able to influence cognitive and emotional components of the
stress response.
Besides the insufficient quantity or pure lack of studies
investigating the effects of music on stress-induced cortisol or
sAA levels, there are a number of methodological limitations
that may account for the wide discrepancies in the already
existing literature. The main reason for this divergence in the
literature might be that many studies have been conducted in a
clinical context, introducing heterogeneity by studying various
different medical settings and patient samples. Besides the
valuable attempt of a small number of studies to investigate the
effect of music listening in a controlled laboratory environment,
these investigations suffered from methodological
shortcomings, such as small sample size [5] and/or the lack of
a valid (i.e. HPA axis activating) stressor. From the perspective
of biopsychological stress research, a major shortcoming is the
vast neglect of the control of confounding variables [25–27].
Although acute stress responses occur rather uniformly across
individuals (which makes it a good paradigm for the
investigation of acute stress), they may be modified by
previous individual experiences, such as chronic (affective)
stress [43,44]. What is more, given that stress [45], as well as
music behavior [46,47] differs as a matter of how emotions are
regulated in general, traits of emotion regulation should always
be controlled, particularly in investigations examining the effect
of music on stress. Finally, the broad majority of previous work
has used only one (if any) control group (rest with no acoustic
stimulation), and has not examined whether positive effects of
music are due the nature of music itself or due to a calming
(non-music) acoustic stimulation. Consequently, the particular
effectiveness of music listening on stress cannot yet be
determined.
In sum, it appears that listening to music has the inherent
ability to decrease the psychobiological stress response.
However, due to the fact that the existing literature is not
complete and often appears as inconsistent, definitive
conclusions about the beneficial stress-reducing effect of music
may be too premature. In light of these considerations, we set
out to examine the effect of listening to music prior to a
standardized stressor across neuroendocrine, autonomic,
cognitive, and emotional domains of the human stress
response in healthy participants in a laboratory setting. We put
a special emphasis on the control of known influencing factors
of the stress response and music effects, i.e. depression,
anxiety, chronic stress, and emotion regulation traits. To the
best of our knowledge, such an endeavor has not been
attempted thus far. We hypothesized that those participants
who listened to relaxing music prior to the stress task would
show a different stress responses in terms of cortisol, salivary
alpha-amylase, heart rate, respiratory sinus arrhythmia,
subjective perception of stress, and anxiety when compared to
non-music control groups, i.e. an acoustic control condition
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(sound of rippling water) and a control condition resting without
acoustic stimulation.
Methods
Participants
Participants were recruited by advertisement at the
University of Zurich and the Swiss Federal Institute of
Technology, Zurich (Figure 1). In a telephone screening,
criteria for eligibility of interested participants (female sex, BMI
between 18–25 kg/m
2
, 20–30 years of age, [Swiss] German as
native language and a regular menstrual cycle) were verified.
Female sex was chosen to control for gender differences, as
sexual dimorphism in both the HPA axis response to
psychosocial stress [48,49] and in physiological and emotional
responses to
9 music listening [6,29,50] have been observed in the past.
Given their confounding effect on the organism in general, and
the HPA axis in particular, exclusion criteria of the current study
were the following; current depression, self-reported acute and
chronic somatic or psychiatric disorders, medication, use of
hormonal contraceptives, use of psychoactive substances, and
excessive consumption of alcohol (> 2 alcohol beverages / day)
or tobacco (> 5 cigarettes / day). Additionally, self-reported
hearing deficits or tinnitus were exclusion criteria. Individuals
with musical training were not included in the study. If eligibility
requirements were met, and oral agreement was obtained,
appointments were scheduled during the woman’s follicular
phase (days 4-10) of the menstrual cycle to control for
hormonal variation throughout the menstrual cycle.
In advance of the appointment, participants were sent a set
of information and several questionnaires (see below). In the
advance material, participants were informed about the course
of the study, but were not given detailed information about the
experimental stress paradigm. Study language was (Swiss)
German. Participants were instructed not to drink alcohol or
caffeinated beverages 48 hours prior to the study. Additionally,
they were told to refrain from any exercise activities 24 hours
prior to the experiment. Further, participants were asked to
refrain from brushing their teeth or eating at least 60 minutes
before the study. For their participation in the study, the
participants were reimbursed with 50 Swiss Francs.
An a priori power analysis was conducted to estimate the
optimal sample size to answer the main hypothesis of a
decreased cortisol response in the music group when
compared to the control groups. It indicated that 54 participants
were required to reach an 87% power for detecting an effect of
0.15 when employing an alpha criterion of 0.05 of statistical
significance.
Ethics Statement
The study was conducted in accordance with the Declaration
of Helsinki. The study protocol was approved by the ethics
committees of the University of Zurich and of the Canton of
Zürich. Oral and written informed consent from all subjects was
obtained.
General procedures
Study design. The experiment used a between subject
design to compare the effect of acoustic stimulation
(independent variable) on cortisol, sAA, HR, RSA, mood, and
anxiety (dependent variables). There were three conditions
prior to a stress test (Trier Social Stress Test, TSST, see
description below): a music condition (relaxing music listening
prior to stress test, RM), a water sound condition (an acoustic
control condition including listening to sound of rippling water,
SW) and a control condition (non-acoustic control condition
including resting without acoustic stimulation, R). Seventy-eight
participants fulfilled all study requirements and were randomly
assigned to one of the groups. Eighteen participants were not
able to keep their appointment (see Figure 1). Randomization
was accomplished through the use of a computer generated
randomization list.
Psychobiological stress induction. All participants
underwent a standardized psychosocial laboratory stress
protocol. The TSST consists of an introduction (Intro) that lasts
2 minutes in which participants are introduced to the procedure
of the TSST. Specifically, they are told that the TSST consists
of a public speaking task followed by a mental arithmetic task
in front of an audience. In the public speaking task (lasting 5
minutes), participants are asked to apply for a job. In this
Figure 1. Flow diagram. Flow diagram of the process
through the phases of enrollment, allocation and analysis.
doi: 10.1371/journal.pone.0070156.g001
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simulated job interview, they are asked to talk about their
personal qualifications for the chosen job, e.g. why they are a
better fit for the job than other applicants. Right after the job
interview, participants are explained the nature of the mental
arithmetic task, which lasts for another 5 minutes. The
participants have to calculate backwards in steps of 17 from
the number 2043. After each calculation error the participants
are asked to re-start calculating from 2043. The TSST has
repeatedly been found to be a reliable tool to activate both the
HPA axis and the autonomous nervous system (ANS) [51]. In
the current study, the standard TSST procedure as reported in
the literature was slightly modified: in the Intro, the subjects
were not told about the exact nature of the upcoming speaking
task (i.e. giving a speech as part of a simulated job interview) in
order to prevent subjects from mentally preparing for the task.
Study procedure. For the current study, all examinations
were conducted between 1200 and 1700h to minimize the
confounding effect of the hormonal diurnal rhythm. Circadian
fluctuations of hormone levels are particularly pronounced in
the morning hours and flatten throughout the day [52,53].
Participants arrived at the laboratory 60 min prior to the onset
of the stress induction by the TSST (Figure 2). Participants
were then escorted to a non-intervention room, where they
spent their waiting time between the actual experimental
interventions. Immediately after arrival, participants were
informed by the main experimenter about the course of the
experiment. Oral and written informed consent was obtained
from all participants. Right afterwards, the LifeShirt, an
electrophysiological measurement device (see below), was
attached. After an adaptation period of 30 min, a basal saliva
sample (T1, -30 min) was taken. Twenty minutes prior to the
TSST, the participants were brought to the TSST room, where
they were introduced by the main experimenter to the
procedure of the TSST (= introduction: Intro, 2 min). The
subjects were then brought to the intervention room, seated in
a comfortable chair, and provided with headphones. All
participants had to adjust a test signal (sinus tone, sound
pressure = -70dB) to the individual hearing threshold level for
the calibration of the volume. After this, the participants were to
undergo their assigned condition, i.e. RM, SW, or R for ten
minutes. No instruction was given for any of the conditions.
Immediately after this part a second saliva sample was taken
(T2, -5 min). Following this, subjects were taken back into the
TSST room where they were undergoing the TSST. After the
completion of the TSST, the subjects were then returned back
the non-intervention room and a third saliva sample was taken
(T3, + 10 min). Further samples were taken 15 min (T4, + 25
min), 30 min (T5, + 40 min), 45 min (T6, + 55 min), and 60 min
(T7, + 70 min) after the TSST. In addition, the subjects
completed various self-report stress measures (see below) at
T1, before and after T2, at T3 and T4.
Music stimulus and acoustic control stimulus. Miserere
by Allegri (CD Gimell 454 939-2) is a soothing and calming
music piece (Latin choral singing) that was chosen to induce
relaxation in our subjects. The stimulus was selected on the
basis of previous research [6]. We decided to use a single
standardized music stimulus, as this approach is thought to
have a greater effect on stress reduction than music stimuli
selected by the subjects themselves [54]. Further, we wanted
to avoid possible influences of memory or subjective
associations with self-chosen music stimuli by participants.
We included a non-music acoustic control condition, i.e.
listening to sound of rippling water, in our study. This control
condition has been chosen to control for effects on
psychological and physiological parameters, which might be
caused by mere acoustic stimulation alone. The sound of
rippling water is missing the typical characteristics of music,
such as a structured melody and rhythm. Still, it is an acoustic
stimulus with a certain perceptual quality for the listener. What
is more, in comparison to artificially produced sounds (such as
white or pink noise or single tones), the sound of rippling water
may be presented for longer periods of time without exerting
stress or boredom in the listener [50].
Measures
Electrophysiological and biochemical measurement and
analyses. Heart rate (HR) and respiratory sinus arrhythmia
(RSA) were measured with the LifeShirt® System, an
ambulatory detection system that allows the continuous
monitoring of cardiorespiratory parameters [55], and edited
manually to correct for ectopic beats with the VivoLogic 3.1
software (Vivometrics, Ventura, CA, USA). RSA is a measure
for variations in HR within a breathing sequence; it is used as
an indicator for parasympathetic cardiac control. HR and RSA
were determined for 5-minute segments, ranging from a
baseline interval prior to the Intro until 30 minutes after
completion of the TSST.
For the analysis of cortisol (as an indicator of HPA axis
activity) [15] and salivary alpha-amylase (sAA, as an indicator
of autonomic activity) [16,17], saliva was collected using small
cotton swabs (Salivettes, Sarstedt, Sevelen, Switzerland).
Stimulated saliva was taken by having the participants gently
chewing the cotton roll for 1 min. Thereafter, the cotton roll was
placed into a small plastic tube. Samples were stored at -20° C
until biochemical analysis took place. Salivary free cortisol was
determined by using a commercial chemiluminescence
immunoassay (LIA) (IBL, Hamburg, Germany). Inter- and
intraassay coefficients of variation were below 10%. All
samples of one subject were analyzed in the same run to
reduce error variance caused by imprecision of the intraassay.
Activity in sAA was analyzed using the microplate reader
Synergy HT Multi-Mode (BioTek) and adapted assay kits
Figure 2.
Study Procedure. Timeline of the testing
procedure.
doi: 10.1371/journal.pone.0070156.g002
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obtained from Roche. The assay is a kinetic colorimetric test.
Inter- and intraassay variance was below 1%.
Psychometric measurements. Demographic information
such as age, education, medication intake, nicotine use and
illnesses were collected using a demographic questionnaire.
Questionnaires were used to investigate the role of music
preference and psychological factors.
The Music Preference Questionnaire (MPQ) [56] was used to
assess participants’ general preference for Classical music,
also in relation with their general music preference for the most
common music styles: Pop, Rap / Hip Hop, Latin, Soul / Funk,
Hard Rock, Electro, New Age, Country, and Jazz music. On a
5-point Likert scale participants indicated how much they liked
the particular music style (1 ‘not at all’ to 5 ‘very much’).
The Beck Depression Inventory (BDI) [57] was used to
control for a possible impact of depression on the HPA axis
response [58]. Scores higher than 18 are suggestive of
clinically relevant depression.
Depending on the dispositional preferred emotion regulation
strategy, different cognitions, emotions, and behavior may
result in and after emotional situations. To control for the
impact of how emotions are regulated in general the validated
German version [59] of the Emotion Regulation Questionnaire
(ERQ) by Gross and John [60] was used. The ERQ assesses
two common trait emotion regulation strategies, reappraisal
and suppression. Higher values on each scale denote greater
expressiveness of the respective variable.
Visual analog scales (VAS) were employed to repeatedly
measure subjective perception of stress during the experiment.
To control for the experience of chronic stress in our sample,
we used the screening scale of the Trier Inventory for the
Assessment of Chronic Stress (TICS) [61], which assesses the
global perceived chronic stress load of an individual with 12
items (Screening Scale of Chronic Stress, SSCS). Participants
were required to rate how often they had experienced certain
stressful situations during the past three months on a 5-point
Likert scale. High values are indicative that the individual is
often worried, overburdened, overstrained, and
unacknowledged.
The State and Trait Anxiety Inventory (STAI) [62] was used
to assess anxiety. The STAI consists of two 20-items
questionnaires which assess state respectively trait levels of
anxiety in clinical and non-clinical populations. Scores for both
scales range between 20 (low anxiety) and 80 (high anxiety).
The STAI-state was used as a continuous measurement for
possible changes in anxiety during the experiment. The STAI-
trait was used to control for the effect of anxiety as a
personality trait in our sample [63].
The stimuli questions were used to assess the subjective
perception of either music or sound of rippling water. Subjects
were required to rate how much they liked the stimulus, and
how relaxing they perceived the stimulus on a 5-point Likert
scale immediately after the stimulus presentation. High values
are indicative for increased liking and of an increased relaxing
effect of the stimulus.
Statistical analysis
Data analyses were performed using SPSS (17.0) software
packages (SPSS, Chicago, IL, USA). Homogeneity of variance
was tested using Levene’s test before statistical analyses were
applied. All reported results were corrected by the
Greenhouse-Geisser procedure where appropriate (violation of
sphericity assumption) [64,65]. In case of missing data, cases
were excluded list wise. Analyses of variance (ANOVAs) for
repeated measures were computed to analyze possible time,
condition and interaction effects. For comparison of the scale
means of the questionnaires with normative samples, Student’s
t-tests were computed. Cortisol (-30 min to + 70 min), alpha-
amylase levels as well as heart rate measures (-30 min to + 40
min) were evaluated according to the area under the curve with
respect to increase (AUC
I
). The AUC
I
is related to the
sensitivity of the biological system; it is pronouncing changes
over time, and is characterized by accumulation of the error of
the baseline, as the formula is based on the difference between
the baseline and the subsequent measures [66]. To estimate
the extent of stress reactivity of cortisol, sAA, HR, and RSA, we
calculated the delta measures of the stress responses (peak
values after stressor minus baseline values before stressor),
and refer to it as peak delta. For the estimation of a recovery
value, we subtracted the first baseline value after the stressor
from the peak values after the stressor (delta), and refer to it as
recovery delta. Calculated measures of AUC
I
, peak delta and
recovery delta were analyzed using ANCOVAs. For all
analyses, results were considered statistically significant at the
p ≤ 0.05 level, and were considered a trend at the p < 0.1 level.
All tests were two-tailed. Unless indicated otherwise, all results
shown are means ± standard deviations (SD).
Results
Sample characteristics
Sixty healthy female subjects participated in the study (age
mean = 25.3 years, SD = 3.21 years; BMI (calculated as weight
in kilograms divided by the square of height in meters) mean =
21.63, SD = 2.34; years of education mean = 15.3, SD = 2.56).
Mean BDI scores of 5.5 (SD = 3.0; range = 0 - 17) indicate no
clinically significant depressive symptom severity in our
sample. Mean TICS summary scores of 17.32 (SD = 7.55;
range = 0 - 36) indicate low levels of chronic stress load in our
sample. Mean STAI-trait scores of 37.47 (SD = 9.86; range =
22–63) indicate low trait anxiety levels in our sample [see 62].
Regarding trait emotion regulation strategies, the mean scores
of the two scales of the ERQ (reappraisal mean 4.83, SD = 1.0;
suppression mean 3.29, SD = 1.08) were in a comparable
range to the female norm sample described by Gross and John
[60]. Music preference for classical music was high in the
current sample; only Pop music was preferred more (Classical
music preference mean = 3.33, SD = 1.1; Pop music
preference mean = 3.72, SD = 1.15). Randomization resulted
in 20 participants undergoing the experimental condition (RM),
20 participants undergoing the non-music acoustic control
condition (SW), and 20 participants undergoing the control
condition without acoustic stimulation (R). The randomized
assignment to groups was evaluated by comparing
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demographic variables (age, BMI, years of education),
preference for Classical music, and means of all control
variables (BDI, ERQ, STAI-trait, TICS) between groups (all p =
n.s.) (TABLE 1). We found no significant differences between
groups.
Stimuli characteristics
Participants liked both acoustical stimuli (music: mean=3.21;
SD=1.36; sound of rippling water: mean=3.84; SD=1.17) and
both were perceived as relaxing (music: mean=4.0; SD=0.88;
sound of rippling water: mean=4.0; SD=1.2). None of our
participants in the acoustic stimulation groups expressed any
negative comments about the stimuli (music / sound of rippling
water).
Salivary cortisol responses
One participant of the RM condition and two participants of
the R condition showed levels of cortisol that were more than 3
standard deviations higher than the mean. As a consequence,
these participants were excluded from all further analyses. The
stress protocol induced significant increases in salivary cortisol
in all groups over time (F(2.48/133.74)=18.46; p<0.001;
η
2
=0.255). Without including the control variables, repeated-
measures ANOVA revealed no significant group differences
(group-by-time interaction: F(4.95/133.74)=1.67; p=0.146;
η
2
=0.058). With the inclusion of the control variables (BDI,
ERQ, STAI-trait, TICS), cortisol concentrations differed
significantly between groups, with highest values in the RM and
lowest values in the SW (group-by-time interaction:
F(5.05/116.13)=2.68; p=0.025; η
2
=0.104) (Figure 3). Single
controlled group comparisons revealed a significant difference
between the RM and SW groups (group-by-time interaction:
F(2.33/67.6)=4.72; p=0.009; η
2
=0.140), but not between RM or
SW when compared to R (all n.s.). Finally, univariate analyses
revealed a significant difference between RM and SW in their
peak delta (F(1/29)=5.18; p=0.03; η
2
=0.152), and in the AUC
I
,
Table 1.
Sample characteristics (Means, standard
deviations, and group differences among study variables).
Characteristic RM (n=20) SW (n=20) R (n=20) p-value
ª
Age (years) 25.13 (2.86) 25.0 (3.71) 25.67 (3.13) 0.79
Years of education 15.32 (2.26) 14.94 (2.41) 15.61 (3.05) 0.75
MP Classical music 3.05 (1.32) 3.5 (1.05) 3.45 (0.89) 0.37
BMI 21.28 (2.08) 21.83 (2) 21.79 (2.9) 0.71
BDI 4.84 (3.56) 5.63 (4.21) 6.0 (4.01) 0.65
ERQ reappraisal 4.75 (0.89) 4.98 (0.98) 4.76 (1.15) 0.71
ERQ suppression 3.0 (1.07) 3.68 (0.93) 3.19 (1.17) 0.13
STAI-trait 35.8 (8.91) 38.35 (10.87) 38.25 (9.98) 0.66
TICS 16.75 (7.77) 16.05 (8.92) 19.1 (5.75) 0.42
n = valid cases, RM = listening to relaxing music, SW = listening to sound of
rippling water, R = resting without acoustic stimulation, MP = Music preference,
BMI = Body mass index, BDI = Beck Depression Inventory, ERQ = Emotion
Regulation Questionnaire, STAI = State and Trait Anxiety Inventory, TICS = Trier
Inventory for the Assessment of Chronic Stress
ª. Probability value from one-way ANOVA.
again between the groups RM and SW (F(1/29)=4.7; p=0.039;
η
2
=0.139). No significant differences were found when RM and
SW were compared to R regarding peak delta and AUC
I
.
Salivary alpha-amylase responses
sAA activity increased significantly over the course of the
stress task (F(2.62/146.82)=15.60; p<0.001; η
2
=0.218). Without
the inclusion of the control variables (i.e. BDI, ERQ, STAI-trait,
TICS), repeated-measures ANOVA revealed no significant
group differences (group-by-time interaction:
F(5.24/146.82)=1.19; p=0.318; η
2
=0.041). Also with the
inclusion of the control variables, we found were no significant
differences in sAA activity between groups (group-by-time
interaction: F(4.96/119.01)=1.4; p=0.23; η
2
=0.055) (Figure 4).
Univariate analyses however revealed a significant difference
in the recovery delta between groups (F(2/48)=4.13; p=0.022;
η
2
=0.147). Single group comparisons revealed a significant
difference between RM and R (F(1/31)=0.547; p=0.026;
η
2
=0.15) and between RM and SW (F(1/29)=4.7; p=0.039;
η
2
=0.139) in the recovery delta; sAA activity in the RM
condition is back at baseline at T4 (+ 25 min), compared to R
or SW at T5 (+ 40 min).
Cardiac measures
Cardiac measures changed significantly over the course of
the experiment over time (HR:F(3.16/151.77) = 122.05;
p<0.001; η
2
=0.027; RSA: F(3.3/158.49)=20.41; p<0.001;
η
2
=0.298). HR and RSA showed mirrored stress responses
(FIGURES 5 and 6). Without the inclusion of the control
variables (i.e. BDI, ERQ, STAI-trait, TICS), repeated-measures
ANOVA revealed no significant group differences concerning
HR (group-by-time interaction: F(6.32/151.77)=0.66; p=0.692;
η
2
=0.027) or RSA (group-by-time interaction:
Figure 3.
Salivary cortisol levels in response to the
TSST. Salivary cortisol levels in response to the TSST (means
± SEM), in the experimental group listening to relaxing music
(RM), the control group listening to sound of rippling water
(SW), and the control group resting without acoustic stimulation
(R).
doi: 10.1371/journal.pone.0070156.g003
Music and Stress
PLOS ONE | www.plosone.org 6 August 2013 | Volume 8 | Issue 8 | e70156
F(6.6/158.49)=0.86; p=0.533; η
2
=0.035). Also with the inclusion
of the control variables, groups did not significantly differ over
the course of the experiment concerning HR (group-by-time
interaction: F(5.73/103.2)=0.6; p=0.72; η
2
=0.032) or RSA
(group-by-time interaction: F(5.76/103.7)=0.96; p=0.456;
η
2
=0.05). However, groups significantly differed in the recovery
delta of RSA (5 min after cessation of TSST) (F(2/40)=4.06;
p=0.025; η
2
=0.169): Single group comparisons revealed a
significant difference between SW and R (F(1/27)=6.70;
p=0.015; η
2
=0.199), suggesting a faster recovery of SW after
the TSST in RSA when compared to R.
Psychological stress measures
The subjective perception of stress during the experiment
(VAS), as well as the anxiety (STAI-state) significantly changed
over time: VAS and STAI-state increased from baseline to after
the Intro of the TSST, deceased in response to the
experimental and control conditions (T2, -5 min), increased in
response to the TSST (T3, + 10 min) and decreased again
thereafter (T4, + 25 min) (VAS: F(2.57/141.13)=18.79; p<0.001;
STAI-state: F(2.9/50)=22.55; p<0.001). For all further analyses,
we controlled for the influence of chronic stress (TICS) when
analyzing the VAS scale of the perception of stress, and we
controlled for the influence of trait anxiety (STAI-trait) when
analyzing the STAI-state. Neither the VAS (group-by-time
interaction: F(5.14/136.12)=0.79; p=0.562), nor the STAI-state
(group-by-time interaction: F(5.79/141.87)=1.42; p=0.213) did
significantly differ between groups.
Discussion
The purpose of the current study was to examine the effects
of listening to relaxing music prior to a laboratory stressor on
Figure 4.
Salivary alpha-amylase activity in response to
the TSST. Salivary alpha-amylase activity in response to the
TSST (means ± SEM) in the experimental group listening to
relaxing music (RM), the control group listening to sound of
rippling water (SW), and the control group resting without
acoustic stimulation (R).
doi: 10.1371/journal.pone.0070156.g004
endocrine, autonomic, cognitive, and emotional responses in
healthy women. We hypothesized that those participants who
listened to relaxing music prior to a stress task would show
different stress responses in comparison to non-music control
groups, i.e. an acoustic control condition (sound of rippling
water) and a control condition, resting without acoustic
stimulation. With regard to endocrine responses, we found
significant differences between the music and the acoustic
control condition in cortisol: highest cortisol concentrations
Figure 5. Heart rate in response to the TSST. Heart rate in
response to the TSST (means ± SEM) in the experimental
group listening to relaxing music (RM), the control group
listening to sound of rippling water (SW), and the control group
resting without acoustic stimulation (R).
doi: 10.1371/journal.pone.0070156.g005
Figure 6. Respiratory sinus arrhythmia in response to the
TSST. Respiratory sinus arrhythmia in response to the TSST
(means ± SEM) in the experimental group listening to relaxing
music (RM), the control group listening to sound of rippling
water (SW), and the control group resting without acoustic
stimulation (R).
doi: 10.1371/journal.pone.0070156.g006
Music and Stress
PLOS ONE | www.plosone.org 7 August 2013 | Volume 8 | Issue 8 | e70156
were observed in individuals who were listening to music prior
the stress task, lowest concentrations were found in those who
were listening to the sound of rippling water. Although there
was no significant effect of music regarding autonomic
responses, we observed a trend towards a faster recovery in
sAA activity and in RSA in the music group. As for
psychological measures, we did not find significant differences
between the three groups.
The lack of a decreased cortisol response in the music group
corroborates findings of a previous study by Knight and Rickard
[26]. To the best of our knowledge, that investigation is the only
laboratory-based study in which the influence of music listening
prior to a stressor was investigated. However, the explanatory
power of the findings was somewhat limited as the authors did
not apply a stressor that was strong enough to elicit a
significant cortisol stress response and that participants were
examined in small groups (6–12 participants per condition). As
for the latter, recent research has suggested that music
interventions might be more effective on an individual
compared to the group level [54]. Nevertheless, even though
we applied a significant stressor and tested our participants
one-by-one, we did not find an attenuation of stress-induced
cortisol levels after music listening.
We did not expect the observed relative increase of cortisol
concentrations in the music group in comparison to the control
groups. Our findings seem to be the opposite from what the
majority of previous studies have reported when investigating
the effect of music on baseline HPA axis functioning, i.e. a
significant decrease in cortisol concentrations [67–77]. Our
findings also seem to differ from the effects of music, when
music is presented during (suppressed cortisol response) [73]
or after a stressor (decreased cortisol response) [5].
Interpreting our findings in the light of these studies, we may
deduce that the beneficial effect of music on HPA axis
functioning depends on situational context (rest vs. stress) and
chronology of events (prior vs. during vs. after stress). A
possible explanation for the context-dependent influence may
be the involvement of certain brain areas and their
subdivisions, such as for instance the hypothalamus, the
amygdala, the hippocampus and the prefrontal cortex, in both
listening to music and stress processing [8,34,36,78–80]. It
appears that music listening prior to the experience of stress
may add to, facilitate, or increase subsequent HPA axis
activation by a staggered activation of a partly shared neuronal
network. Brain-imaging studies are needed to investigate
whether there is indeed a specific ‘combinational’ effect of
music and stress.
It is of great interest that the lowest concentrations of cortisol
were observed in the acoustic control condition (i.e. listening to
the sound of rippling water). Given that, to the best of our
knowledge, no study so far has investigated the effects of
natural sounds on stress-related HPA axis responses, we did
not anticipate this outcome. The sound of rippling water was
equally preferred and perceived as relaxing as music by our
participants. This may be a hint to differential effects on the
HPA axis of music and non-music acoustic stimulation. Due to
the lack of studies on neuronal activation patterns of natural
sounds it is difficult to determine the exact mechanisms for this
effect, though. Although unexpected, the finding of decreased
cortisol concentrations in the acoustic control condition is of
potentially great relevance and may increase our
understanding of mechanisms of beneficial interventions in
natural environments, based on the concept of biophilia for
instance [81,82]. According to this view, humans, who have
lived in natural environments throughout evolution, are
equipped with brains / mental functioning that “…
subconsciously seek connection with all that is alive and vital”
(p. 4660) [81]. As a consequence, humans indeed feel more
comforted in natural than in urban environments. Lingering in
natural environments, such as for instance in a forest, has
been found to have significant beneficial physiological effects
[83]. Accordingly, a detachment from natural environments
might lead to decreased physical and psychological well-being
[84]. It might therefore be reasoned that the sound of rippling
water in our study had a relaxation effect stronger than that of
music, due to its inherent characteristics as a sound of nature.
Of course, this notion is highly speculative. More studies are
needed to examine the differential endocrine effects of natural
and non-natural acoustic sound stimulation.
We observed a differential influence of music listening on
autonomic activity: music resulted in a faster autonomic
recovery after stress compared to the control groups. This
partly corresponds with findings from an investigation by Arai et
al. [85] who found significantly decreased sAA levels at wound
closure in patients who listened to intra-operative music when
compared to a non-music control condition. Music might thus
facilitate autonomic recovery from a stressor in comparison to
listening to non-musical sounds or no acoustic stimulation. The
fact that our finding only showed a statistical trend narrows its
relevance, however. Other investigations assessing the effects
of music on the ANS (e.g. via epinephrine and norepinephrine)
have found no beneficial effects [37,86]. As for cardiac
measures, we found a decrease in HR and an increase in RSA
in response to RM, SW, and R. After stress exposure, we
found an increase in HR and a decrease in RSA. On the one
hand, these findings correspond to investigations that found an
increase of parasympathetic activity in response to sedative
music listening [87–89]. On the other hand, our results
corroborate findings from studies reporting decreased
parasympathetic activity in response to stress [90,91]. As with
sAA, we found a trend for a faster recovery of the RSA in the
music group when compared to the resting control group. It
appears that music listening might be effective in accelerating
the recovery process of the parasympathetic branch of the
ANS. It is interesting, however, that the sound of rippling water
was even more effective than music in returning RSA levels
back to baseline. Clearly, further studies are warranted for
further eliciting the differential physiological effects of music
and non-music acoustic stimulation.
Music listening had no differential effect on psychological
measures (stress perception or anxiety) in comparison to the
two control conditions. This is not in line with investigations that
report listening to music to be effective in reducing
psychological stress [33] or anxiety [26,37–39]. One
explanation might be that music listening may only reduce
psychological stress / anxiety in the presence of a relatively
Music and Stress
PLOS ONE | www.plosone.org 8 August 2013 | Volume 8 | Issue 8 | e70156
mild stressor. It might be the case that the stressor in our study
(i.e. the TSST) was too strong. Knight and Rickard [26], who
were using a (mild) cognitive stressor in the laboratory, found
anxiety-reducing effects of music listening prior to stress.
MacDonald and colleagues found similar effects only in those
patients who had a minor surgery (mild stressor) and not in
those who had a major surgery [92]. Evans [40], finally,
systematically reviewed studies of the effectiveness of music
interventions for hospital patients. He found that music listening
was effective for the reduction of anxiety during normal care
delivery (which may be considered as mild stressors), but not
for patients undergoing invasive or unpleasant procedures
(strong stressors). In contrast to those findings, however,
patients in the study by Allen et al. were experiencing “…a high
level of stress and anxiety...” [33] related to surgery, so that
one may assume that this was a strong stressor. Still, music
was effective in decreasing perceived stress levels in that
study. However, patients were allowed to listen to their own
choice of music. It might be argued that not the music itself, but
the positive memories associated with it caused this effect.
What is more, control patients did not wear headphones and
were therefore exposed to the sounds of surgery, thus further
inducing stress in the control group. Future studies are needed
to test for the assumption that music listening might only
reduce stress related psychological processes and anxiety in
the context of mild stressors.
Taken together, our results seem to indicate that pre-stress
music listening might not be effective in reducing the
biopsychological stress response, but might, in contrast, add to
or facilitate a stress response. However, our results may also
be interpreted in the light of another explanation: it may be that
the participants in the music group were actually so relaxed
that the subsequent stress induction was incompatible with this
state of relaxation, and that they produced an increased stress
response as a consequence. We might have therefore
measured the effect of the contrast between a relaxing and a
stressful state rather than the preparatory effects of relaxing
music on the subsequent stress response. This notion is
supported by the greatest increase in stress perception in the
relaxing music group. Future studies should follow-up on this
explanation and further dissect the effects of preparatory music
listening on stress responses.
Although this is the first study in which the effect of pre-
stress music listening on a multitude of stress response
domains was examined in the context of a rigorously controlled
laboratory setting, our findings need to be considered in the
light of the following limitations.
Selection of music stimulus
Standardized music stimuli, selected by the researchers,
might have different effects than those chosen by the
participants themselves. In our study, however, we used a
music stimulus which had already been evaluated as relaxing
in previous research [6], so we were confident that this stimulus
had stress-attenuating capacity independent of individual
preferences. Also, using researcher-selected music stimuli has
been shown to have greater effects on stress reduction than
music stimuli selected by the subjects themselves [54].
Sample
The focus on healthy young female participants, which were
non-smoking, not taking any oral contraceptives, and being in
the follicular phase of the menstrual cycle, restricts the
generalization of the results beyond this particular sample.
While the exclusion of potential confounding variables certainly
improves internal validity, further research should investigate
men also, as well as a mixed sample of men and women with
more liberal inclusion criteria in order to reach more general
conclusions.
In summary, the findings of the present study demonstrate
that listening to relaxing music prior to a stress task
differentially affects biological stress response domains.
Listening to relaxing music prior to a stressor did not decrease
the endocrine stress response, but tended to increase it.
Moreover, music listening helped the ANS to recover from a
stressor more efficiently. Cognitive and emotional processes
did not seem to be differently influenced by listening to relaxing
music compared to listening to the sound of rippling water or
resting with no acoustic stimulation prior to a stressor. As a
consequence, our findings do not fully support the notion of
using music listening as a successful stress management tool,
at least not in the context of anticipating an upcoming stressor.
Certainly, the potential health implications of the observed
increase in HPA axis activation and the faster recovery of the
ANS through listening to relaxing music are worth mentioning
and should be further studied in order to better understand the
potentially positive effects of music on the human body.
Acknowledgements
We thank the study subjects and acknowledge the assistance
of Eliane Horat in co-conducting the study.
Author Contributions
Conceived and designed the experiments: MVT UN. Performed
the experiments: MVT RB LF. Analyzed the data: MVT RLM
RB LF UN. Contributed reagents/materials/analysis tools: MVT
UE. Wrote the manuscript: MT RB LF UE UN.
Music and Stress
PLOS ONE | www.plosone.org 9 August 2013 | Volume 8 | Issue 8 | e70156
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Music and Stress
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... Psychologically, studies have explored the relationship between music and cognitive functioning, highlighting the potential bene ts of music in improving attention, memory, and overall cognitive performance (Chanda & Levitin, 2013; Thoma et al., 2013). As evidenced in a study by Jacquet et al. (2021), listening to music was e cient strategies to counteract the negative effects of mental fatigue. ...
... Physiologically, music has been shown to in uence autonomic nervous system activity, with implications for heart rate variability and stress reduction. Previous studies have demonstrated the in uence of music on brainwave patterns, showing that music can modulate neural oscillations in speci c frequency bands (Kawashima et al., 2024;Thoma et al., 2013). Thoma et al. (2013) found that listening to music reduces physiological stress markers such as heart rate, blood pressure, and cortisol levels, leading to overall stress reduction. ...
... Previous studies have demonstrated the in uence of music on brainwave patterns, showing that music can modulate neural oscillations in speci c frequency bands (Kawashima et al., 2024;Thoma et al., 2013). Thoma et al. (2013) found that listening to music reduces physiological stress markers such as heart rate, blood pressure, and cortisol levels, leading to overall stress reduction. Overall, the evidence suggests that listening to music is an effective non-bioactive strategy to counteract mental fatigue and to maintain positive psychological states. ...
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Objective : To evaluate the efficacy of music listening in alleviating mental fatigue among healthy participants and to explore the neural evidence by electroencephalography (EEG). Methods : A total of 30 participants were recruited and randomly assigned to either the Music or Control groups. Mental fatigue was induced in both groups using a 30-minute Stroop task. Following this task, the Music group listened to music for 20 minutes, while the Control group sat quietly for the same duration. Measurements were taken at three time points: before the Stroop task, immediately after the Stroop task, and after the 20-minute intervention period. Visual Analog Scale (VAS) scores and 3-minute resting-state EEG signals were collected at each time point. Results : The data indicated that music listening significantly reduced mental fatigue. VAS scores decreased more in the Music group than the Control group ( P =0.031). The EEG iAPF showed a significant recovery in the Music group ( P <0.0001). Delta power in the frontal region decreased significantly post-intervention in the Music group ( P =0.011). Theta and alpha power also decreased significantly in the Music group across multiple brain regions (all P s<0.0076), with no significant changes observed in beta power. Conclusion : These findings highlight the potential of music as a non-invasive and enjoyable intervention for mitigating the effects of mental fatigue. Moreover, iAPF, theta, and alpha power can serve as reliable biomarkers for assessing mental fatigue and the restorative effects of interventions like music.
... Furthermore, MT facilitates the release of neurochemicals such as dopamine, associated with pleasure and reward, and endorphins, which contribute to pain reduction (49, 132). An additional relevant aspect is that music modulates cortisol levels, helping to reduce stress and anxiety (145). ...
... EM may also positively influence neuropsychological circuits involved in anxiety regulation and stress management, increasing therapeutic efficacy while reducing the need for pharmacological interventions (132,145). ...
Article
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Introduction As highlighted by the scientific literature, music therapy (MT) represents a significant non-pharmacological intervention within neurorehabilitation programs. MT offers benefits in the recovery process and enhances the quality of life for patients with neurodevelopmental disorders. A review of the literature reveals a lack of MT models focusing on real-time personalized composition using electronic music techniques. Furthermore, studies on MT conducted within a multisensory therapeutic context are limited. Recent literature reviews on MT in telerehabilitation have highlighted that the application of the Euterpe Method (EM) is complex due to limited technical information available and the combined background required for music therapists to replicate the EM protocol. Methods This paper presents a manual which specifies the procedures and algorithms of the EM, developed during a research program conducted in a pediatric hospital in Italy. The prerogative of the EM is the use of procedures aimed at creating personalized therapeutic compositions within a multisensory environment. Discussion The efficacy and resilience of the EM have been demonstrated in two experimental studies. The first focused on the use of telerehabilitation in children with developmental disorders, while the second involved hospitalized children with cerebral palsy. Conclusion This study integrates medicine, neuroscience, and MT to develop personalized interventions in pediatrics, fostering collaboration among specialists and families, enhancing patient well-being, and opening new therapeutic perspectives, while ensuring the replicability of the EM approach.
... Based on these conditions, the researcher conducted a study to see a comparison of student learning concentration by providing audio stimulus (Shih et al., 2012). The types of stimulus given are instrumental songs, murotal/Qur'an recitation, and the participants' favorite songs (Thoma et al., 2013). The methods that can be used quantitatively to see learning concentration are reaction time and memory recall methods. ...
Article
Full-text available
Concentration is essential in order to help to perceive and understand the object that is being focused. If students can concentrate, everything can be recorded properly in the brain's memory. If student concentration experiences obstacles in learning activities, there will be obstacles to achieve goals. This study aims to analyze the influence and relationship between concentration levels when listening to different audio stimuli. The methods that can be used quantitatively to see learning concentration are reaction time and memory recall methods for 30 students. The data obtained are processed using statistical tests, that is the T test and ANOVA test to test the differences in sample means from different variables and draw conclusions by finding different data groups. Based on the results of the T test, giving the three audio stimuli to men did not provide a significant average difference in reaction speed. Meanwhile, for female respondents, only the favorite song stimulus had a significant average difference. There is no significant difference in memory recall ability to audio stimulus. For the male respondents, the instrumental stimulus was the most effective stimulus, while for the female, the favorite song stimulus was the most effective.
... Participants with a bias away from angry faces (i.e., threat-avoidant) look away from threat to reduce immediate distress (Mogg & Bradley, 2018). It is possible that the music reduced the negative feelings (e.g., anxiety/stress (Thoma et al., 2013)) typically associated with looking towards the threat stimuli for these individuals, increasing dwell-time. Moreover, as reduced viewing of the eyes can occur in both depression and anxiety, the music may have facilitated increased viewing of this region by reducing the negative emotions associated with their viewing (Chris, 2000;Schneier et al., 2011). ...
... The mechanism by which music may be used to alleviate perinatal mental health issues is that it can distract attention, trigger brain activity, and activate the release of endorphins, which regulate unpleasant feelings and emotions [20]. One advantage of this study is that it is applied through the smartphone, which can not only reduce the country's investment in medical and health resources, lower intervention costs, but also improve the utilization rate of psychological services and reduce refusal to intervene due to shame. ...
Article
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Background Perinatal depression has become a global public health issue with a high prevalence rate. Multiple studies have confirmed the effectiveness of music intervention. Still, the current form of offline intervention ignores issues such as convenient transportation and the stigma of diseases that pregnant women are concerned about, resulting in poor adherence. This randomized controlled study will evaluate the impact of music intervention on depression, anxiety, and stress in perinatal women through the WeChat application. In addition, the usability of the WeChat application and the adherence of PND women will also be evaluated. Methods This randomized, open, single-center parallel controlled trial randomly divided 110 women with perinatal depression who met the inclusion criteria into a smartphone-based music intervention group and usual care group in a 1:1 ratio. The main outcome measures will consist of EPDS and WeChat application usability score. The secondary outcome measures will consist of GAD-7, CPSS, and Knowledge-Attitude-Practice questionnaire scores. Discussion This study will test the effectiveness of music intervention based on the WeChat application for perinatal depression and the usability of the WeChat application, to provide practical guidance for perinatal mental health care. Trial Registration This protocol was registered at the Chinese Clinical Trials.gov (Identifier: ChiCTR2400088924) on August 29, 2024.
Article
Context Music has been used for healing purposes since ancient times. Music therapy is a growing branch which can facilitate and promote a healthy mind and body. Autonomic nervous system (ANS) may serve as one path by which music exerts its therapeutic effects. Interaction between the ANS and cardiovascular system during exercise can be of prognostic importance in many cardiovascular diseases. The measurement of the effects of musical auditory stimulation, using non-invasive test of heart rate variability (HRV), on cardiac auditory response while under stressful condition, like exercise, would help understand the usability of musical interventions in prevention and treatment of cardiovascular diseases. Aim To gauge the effects of preferential relaxing music on exercise-induced changes in frequency domain parameters (LF, low frequency; HF, high frequency; LF: HF ratio) of HRV. Setting and Design Experimental study design. Methods and Materials Sample size—52 healthy young adult volunteers (18–25 years). HRV was measured from the ECG obtained at rest, while listening to preferential relaxing music, after doing moderate exercise and after doing moderate exercise while listening to preferential relaxing music. Statistical Analysis Used Comparison of frequency domain HRV variables was done using paired t-test. Results Non-significant increase in HF component ( P value = 0.3) and non-significant decrease in LF: HF ratio ( P value = 0.06) after doing moderate exercise with music when compared with after doing moderate exercise without music was observed. Conclusion Preferential relaxing music attenuated exercise-induced decrease in parasympathetic activity post-exercise.
Article
The study aimed to determine the effectiveness of binaural beat (BB) Chinese music, with dynamic theta- to delta-frequency progression, in relieving anxiety among Singapore undergraduates. It also examined whether the binaural effects differ between students with high and normal trait anxiety. This was a randomized controlled trial with 151 undergraduates assigned to listen to a single 30 min episode of BB Chinese music, Chinese music, or audiobook. The Perceived Stress Scale (PSS) measured stress, while the state subscale of the State-Trait Anxiety Inventory (STAI-S) and root mean square of successive R–R interval differences (RMSSD) were outcome measures for anxiety. Results indicated that mean STAI-S and PSS reductions were not statistically significant between groups. No significant difference in mean change of RMSSD was detected when the BB Chinese music group was compared with the Chinese music or audiobook groups. However, students with high baseline trait anxiety experienced a greater, marginally significant reduction in STAI-S scores and an increase in RMSSD than those with normal trait anxiety after BB exposure. BB Chinese instrumental music may not have anxiolytic effects on healthy undergraduate populations, as evidence for an anxiolytic effect was observed only among students with high baseline trait anxiety, warranting further research on this population.
Article
There are many benefits associated with playing music in later life but few studies have looked at biomarkers of stress and immune response among musicians. A pilot study, undertaken to test a research protocol prior to a larger study, was carried out with eight amateur instrumentalists aged 50+ to investigate variations in stress (cortisol and alpha-amylase) and immune response (secretory immunoglobulin A) under two conditions (Music and Rest). In summary, cortisol levels tend to decline following both conditions, but results were more pronounced for the Rest condition. While sIgA increased in the Rest condition, it showed a larger variability in the Music condition. These results are promising and demonstrate that music can influence some biological markers. This study contributes to raising awareness that music can be a creative strategy to promote healthy aging.
Article
Background: A recent randomized clinical trial showed that listening music reduces the pain level, and the anxiety level in women with spontaneous labor at term. Effect on pregnant women undergoing induction of labor is still unclear. Objective: To test the hypothesis that in nulliparous women with singleton pregnancies, undergoing induction of labor at term, listening music would reduce the pain level during labor. Study design: Parallel group non-blinded randomized clinical trial conducted at a single center in Italy. Nulliparous women with singleton pregnancies and vertex presentation, admitted for induction of labor with either oral or vaginal prostaglandins, between 37 0/7 - 42 0/7 weeks, were randomized in a 1:1 ratio to receive music during induction of labor or no music during induction. The endpoints of the trials were the pain level during induction, and in the active phase of labor, recorded using the visual analogue scale (VAS) for pain, ranging from 0 (no pain) to 10 (unbearable pain). The effect of music use on each outcome was quantified as the mean difference (MD) with 95% confidence interval (CI). Results: During the study period, 30 women agree to take part in the study, underwent randomization, and were enrolled and followed up. 15 women were randomized in the music group, and 15 in the control group. No patients were lost to follow up for the primary outcome. Pain level during the induction procedure was scored 8.8±0.9 in the music group, and 9.8±0.3 in the control group (MD -2.60 points, 95% CI -3.94 to -1.26; p<0.01). Music during labor and delivery was also associated with a decreased anxiety during the induction procedure (MD -3.80 points, 95% CI -5.53 to -2.07; p<0.01) Conclusions: In nulliparous women, listening music during induction of labor, reduces the pain and anxiety level. Trial registration: Clinicaltrials.gov NCT04662424.
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Functional magnet resonance imaging (fMRI) was used to investigate the effects of selected classical-romantic music on cerebral activation. We presented music excerpts representing »happy« and »sad« emotions and, in addition, pink noise to a group of healthy adult listeners (n = 17; 7 female) during fMRI scans. Each stimulus category consisted of ten excerpts. Each stimulus lasted 20 seconds, alternated with periods of silence of equal duration, and induced similar loudness levels (measured in SONE). Following fMRI, listeners also rated the emotional content of the excerpts on ten rating scales. Results from these ratings confirm the intended emotions of the music excerpts. Results from fMRI reveal significant cortical activations in superior temporal gyrus bilaterally, which included Wernicke's region and Heschl's gyrus, when music was contrasted with the combined noise and silence conditions. Activations were more pronounced in the right hemisphere. When »happy« was contrasted to »sad« (combined with pink noise and baseline), distinct clusters were observed in both temporal poles - the limbic association cortex. The reverse contrast »sad« greater than »happy«, however, was not significant.