ArticlePDF Available

Disgust and Emotion Dysregulation in Misophonia: a Case for Mental Contamination?

Authors:

Abstract and Figures

The aim of the present study was to investigate whether dispositional disgust sensitivity and affective styles are associated with features of misophonia and whether emotion dysregulation plays a role in this relationship. We anticipated disgust sensitivity and emotion dysregulation to be vulnerability factors for the emotional distress and behavioral reactions seen in misophonia. A sample of 334 adults (223 females, 104 males, and 7 non-binary individuals) ranging in age from 18 to 65 years were recruited through online social media websites and completed an online battery of scales that consisted of the Disgust Scale-Revised, the Difficulties in Emotion Regulation Scale-Short Form, the Affective Styles Questionnaire, and the New York Misophonia Scale. Significant correlations were obtained among the study variables. Results of mediation analysis indicated that disgust sensitivity has both direct and indirect effects on misophonic distress but only indirect effects on behavioral reactions in misophonia. The affective styles adjusting and tolerating had only indirect effects on misophonia symptomology. While emotion dysregulation partially mediated the relationship between disgust sensitivity and misophonic distress, it completely mediated the relationship between disgust sensitivity and misophonic behavioral reactions. These findings imply that the aggressive and avoidance reactions in misophonia may be a consequence of emotional dysregulation while misophonic distress may be a reflection of mental contamination associated with dispositional disgust sensitivity. Findings of the study have theoretical and clinical implications. Interventions focusing on disgust sensitivity reduction may benefit individuals with misophonia.
Content may be subject to copyright.
Vol.:(0123456789)
International Journal of Mental Health and Addiction
https://doi.org/10.1007/s11469-021-00677-x
1 3
ORIGINAL ARTICLE
Disgust andEmotion Dysregulation inMisophonia: aCase
forMental Contamination?
UshaBarahmand1 · MariaE.Stalias‑Mantzikos1,2 · EstherRotlevi1 ·
YingXiang1
Accepted: 8 October 2021
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021
Abstract
The aim of the present study was to investigate whether dispositional disgust sensitivity
and affective styles are associated with features of misophonia and whether emotion dys-
regulation plays a role in this relationship. We anticipated disgust sensitivity and emotion
dysregulation to be vulnerability factors for the emotional distress and behavioral reactions
seen in misophonia. A sample of 334 adults (223 females, 104 males, and 7 non-binary
individuals) ranging in age from 18 to 65years were recruited through online social media
websites and completed an online battery of scales that consisted of the Disgust Scale-
Revised, the Difficulties in Emotion Regulation Scale-Short Form, the Affective Styles
Questionnaire, and the New York Misophonia Scale. Significant correlations were obtained
among the study variables. Results of mediation analysis indicated that disgust sensitiv-
ity has both direct and indirect effects on misophonic distress but only indirect effects on
behavioral reactions in misophonia. The affective styles adjusting and tolerating had only
indirect effects on misophonia symptomology. While emotion dysregulation partially medi-
ated the relationship between disgust sensitivity and misophonic distress, it completely
mediated the relationship between disgust sensitivity and misophonic behavioral reactions.
These findings imply that the aggressive and avoidance reactions in misophonia may be
a consequence of emotional dysregulation while misophonic distress may be a reflection
of mental contamination associated with dispositional disgust sensitivity. Findings of the
study have theoretical and clinical implications. Interventions focusing on disgust sensitiv-
ity reduction may benefit individuals with misophonia.
Keywords Misophonia· Distress· Avoidance· Aggression· Disgust· Emotion
Regulation· Affective style
Misophonia is a recently recognized condition, characterized by abnormally strong and
negative reactions to the ordinary “patterned” oral, nasal, or repetitive sounds such as
* Usha Barahmand
usha.barahmand@qc.cuny.edu
1 Division ofMathematics andNatural Sciences, Department ofPsychology, Queens College, City
University ofNew York, 65-30 Kissena Blvd, Flushing, NY11367, USA
2 Westchester Community College, SUNY, Valhalla, USA
International Journal of Mental Health and Addiction
1 3
slurping, breathing, or clicking a pen. Oral and nasal sounds, especially when produced by
familiar others, are most distressing (Taylor, 2017). Many misophonic people also find cer-
tain environmental sounds such as tap dripping or visual stimuli such as a person chewing
gum distressing. Reactions of individuals experiencing the condition may be emotional,
physiological, and behavioral. The emotional reactions are usually impulsive and can range
from mild annoyance and irritation to intense disgust and anger. Physiological responses
observed include clenched muscles, breathlessness, and increased heart rate, blood pres-
sure, and body temperature (Dozier, 2015; Dozier & Morrison, 2017; Edelstein et al.,
2013; Rouw & Erfanian, 2018; Schröder etal., 2017). While the most common behavioral
response to misophonia is an attempt to escape or avoid the disgust elicitors (Dozier &
Morrison, 2017; Rouw & Erfanian, 2018), approach behaviors such as impulses to con-
front or hurt others are not uncommon (Edelstein etal., 2013; Rouw & Erfanian, 2018).
Although not listed in the fifth edition of the Diagnostic Statistical Manual (DSM-5)
as a clinical entity, misophonia is believed to be a discrete psychiatric disorder with some
researchers (e.g., Jager etal., 2020; Schröder etal., 2017) even suggesting criteria for its
diagnosis. Recent studies have reported several psychiatric disorders as co-occurring with
misophonia, including anxiety, depression, and obsessive–compulsive personality disorder
(OCPD). The finding that the majority of patients with misophonia met criteria for OCPD
led Schröder etal., 2017 to propose that misophonia be categorized within the category of
obsessive–compulsive and related disorders. Misophonia is akin to obsessive–compulsive
disorders (OCD) because obsessions with triggers and compulsive avoidance are reported
by people with the condition. Another similarity may be the feelings of disgust experienced
by both people with obsessive–compulsive disorder (Olatunji etal., 2011a, 2011b; Whitton
etal., 2015) and misophonics.
Disgust is one of the basic emotions, culturally universal (Ekman, 1992). It is a feel-
ing of revulsion triggered by noxious stimuli resulting in a motivation to physically dis-
tance oneself from the disgust elicitors (Rozin etal., 2000). Disgust has been identified as
an evolved adaptive mechanism aimed at the avoidance of pathogens (Curtis etal., 2011;
Lieberman etal., 2014), thereby promoting survival. There are temporally stable individual
differences produced by both genetic differences (Schaller etal., 2011) and previous envi-
ronmental experiences (Tybur etal., 2013) in one’s responses to disgust eliciting stimuli,
suggesting that disgust sensitivity is a valid dispositional trait (McNally, 2002). A predis-
position to disgust has been reported as a common vulnerability factor for specific anxi-
ety-related conditions (Olatunji & Sawchuk, 2005), obsessive–compulsive disorder (Tolin
etal., 2006), and health anxiety (Olatunji, 2009). Disgust is further conceptualized as con-
sisting of two subconstructs, disgust propensity (DP), the likelihood an individual will feel
disgust for a range of disgust elicitors, and disgust sensitivity (DS), the degree to which an
individual will be distressed by the interpretation of a potential contaminant being present
and the experience of disgust (van Overveld etal., 2006). Disgust is conceived as being
part of the behavioral immune system (BIS; discussed in Taylor 2019). The BIS is a system
of psychological mechanisms that detect stimuli indicative of the presence of infectious
pathogens in the immediate environment and elicit emotional (e.g., fear, anxiety, disgust),
cognitive (obsessions, difficulty concentrating, worry), and behavioral (escape, avoidance,
aggression) reactions.
Disgust proneness has been suggested to confer risk for anxiety-based psychopatholo-
gies like OCD by reinforcing disease avoidance motives (Olatunji etal., 2011a, 2011b).
However, some studies have also found significant relationships between disgust and psy-
chopathologies that would not appear to be disgust relevant (e.g., height phobia and claus-
trophobia, Davey & Bond, 2006; and agoraphobia, Muris etal., 2000) as their features do
International Journal of Mental Health and Addiction
1 3
not obviously relate the putative functions of the disgust response, such as disease avoid-
ance. Davey and Bond (2006) invoke the third variable explanation of neuroticism as a
mediator in such conditions, while Olatunji etal. (2017) propose a transdiagnostic frame-
work in which disgust proneness interacts with cognitions to lead to trajectories of various
kinds of psychopathology. Giner-Sorolla and Chapman, 2017; Giner-Sorolla etal., 2018)
believe that disgust may protect individuals not only from contracting disease, but also
from situations that may be in conflict with their morals or values. Rachman (2004) used
the term mental contamination to refer to the distress individuals experience when they
observe or think about something unclean, immoral, or undesirable. Mental contamina-
tion concerns originate as a result of disgust or anticipated exposure to stimuli that elicit
disgust (Olatunji etal., 2010). There is increasing evidence (e.g., Chapman etal., 2009;
Jones & Fitness, 2008) that disgust can be elicited by abstract stimuli such as perceived
transgressions by others (e.g., cheating, deceiving, injuring others, violating principle of
economic fairness) in the absence of concrete disgust triggers. Disgust can also be elicited
by abstract appraisals of oneself (“self-loathing”; Ille etal., 2014). An association between
disgust and mental contamination has been supported by prior studies (Badour etal., 2012;
Jacoby etal., 2018; Ojserkis et al., 2017; Rachman et al., 2011). We speculate that the
disgust experienced by misophonics may be a kind of mental contamination, sensations of
dirtiness experienced as an overall internal discomfort when exposed to triggering stimuli.
Although misophonia is comparable to some anxiety disorders and obsessive–com-
pulsive disorder (Wu etal., 2014) in terms of distress, avoidance, and functional impair-
ment, the pathophysiology of misophonia is inconclusive. Misophonia has been described
as a disorder of emotional processing of sounds (Kumar etal., 2014) that warrants fur-
ther investigation. Studies using autonomic (Edelstein et al., 2013), neurophysiological
(Schröder et al. 2014), and neurobiological (Kumar et al., 2017) measures have shown
that misophonic responses to triggers are accompanied by autonomic arousal and nega-
tive affective states, associated with atypical neuronal responses, and are different from
responses to non-misophonic aversive stimuli. Misophonia is believed to reflect connec-
tivity between sensory processing, emotional reactivity, and the regulation of emotional
arousal (Bruxner, 2016). In a recent study, Kumar etal. (2017) claimed that misophonia
is directly associated with a network of cortical and subcortical regions responsible for the
processing and regulation of emotions.
Emotion regulation refers to the control and management of emotions exerted through
changing the quality, intensity, and duration of an emotional response (Gross and Thomp-
son, 2007). Most emotion regulatory actions are aimed at fostering positive emotions and
reducing negative emotions (Tamir, 2009). Emotion regulation strategies that achieve these
goals are considered functional or adaptive, and those that do not, or exacerbate negative
emotions and are associated with psychological distress, functional impairment, and psy-
chopathology, are termed dysfunctional or maladaptive (Aldao and Dixon-Gordon, 2014).
Three emotion regulation strategies theoretically considered to be protective against psy-
chopathology are reappraisal, problem-solving, and acceptance, while those likely to put
an individual at risk for psychopathology are suppression (both expressive and thought
suppression), avoidance (both experiential and behavioral avoidance), and rumination
(Aldao etal., 2010). However, a meta-analysis revealed that the three maladaptive emotion
regulation strategies and problem-solving are more strongly related to psychopathology
than reappraisal or acceptance (Aldao etal., 2010).
Furthermore, individual differences in the habitual use of the various emotion regula-
tion strategies, each with discernible emotional experiences and psychosocial function-
ing, have been reported (Gross & John, 2003). Appraisal of emotions as intolerable may
International Journal of Mental Health and Addiction
1 3
be followed by the use of avoidance or suppression of emotions (Hofmann and Kashdan,
2010) which decreases the experience and expression of both positive and negative emo-
tions (Gross and John, 2003), while readjusting or reappraisal and non-defensive tolerance
of negative emotions may decrease the experience and expression of negative emotions and
increase the experience or expression of positive emotions (Gross and John, 2003). Aldao
etal. (2010) found the absence of adaptive emotion regulation strategies to be less detri-
mental than the presence of maladaptive strategies. However, the authors did note that the
absence of problem-solving skills was an exception as that could contribute to the devel-
opment of maladaptive strategies. The broad range of individual sensitivity and respon-
siveness to emotions is referred to as affective style (Hofmann etal., 2012). Hofmann and
Kashdan, 2010 identify three affective styles for regulating emotions: concealing (which
includes suppression and avoidance), adjusting (which includes reappraisal and problem-
solving), and tolerating (which includes acceptance and a non-defensive response). Some
studies have described the individual’s affective style as a temperamental and trait-like
variable (e.g., Davidson, 1992; Wheeler etal., 1993), while others have reported not only
specific styles associated with anxiety and mood disorders but also therapeutic changes in
affective style associated with reductions in symptoms of psychopathology (e.g., Totzeck
etal., 2018, 2020).
Misophonia is a condition marked by the experience of a dominant negative emotional
reaction of anger, although other emotions such as irritation, stress and anxiety, aggrava-
tion, feeling trapped, and impatience may also be dominant (Rouw & Erfanian, 2018). We
speculate that the anger and other emotions may be associated with the habitual use of dys-
functional emotional regulation strategies. Studies on the regulation of anger have shown
that participants high in trait reappraisal show less anger in response to anger provocation
(Memedovic etal., 2010), while those who have low tolerance for frustration (Martin and
Dahlen, 2004, 2005) and those who ruminate (Ray etal., 2008) report greater anger. Anger,
when regulated using dysfunctional strategies such as expressive suppression or rumina-
tion, has also been associated with negative consequences such as loneliness (Karababa,
2020), depression (Besharat et al., 2012; Bujor & Turliuc, 2020), posttraumatic stress
(PTSD; Kulkarni etal., 2012), social anxiety (Erwin etal., 2003), and panic (PD) disor-
ders severity (Baker etal., 2004). The anger and other negative emotions seen in misopho-
nia may be a reflection of emotion dysregulation associated with low frustration tolerance
and reduced employment of reappraisal or increased reliance on suppression. Furthermore,
the transdiagnostic model of disgust proneness (Olatunji etal., 2017) contends that dis-
gust proneness may shape maladaptive coping strategies, predicting a possible association
between disgust proneness and affective styles.
Present Study
Based on the empirical findings described above, disgust sensitivity and emotion regulation
problems or reliance on dysfunctional regulatory strategies may play a role in misophonia.
The purpose of this study was to characterize the relationship between disgust, emotion
dysregulation, and misophonia features as they may have implications for the etiology,
maintenance, and treatment of misophonia. The following hypotheses were formulated.
H1. Disgust sensitivity will be positively associated with misophonia and its subscales,
misophonic distress and behavioral reactions.
International Journal of Mental Health and Addiction
1 3
H2. The affective style concealing will be positively associated while adjusting and tol-
erating will be negatively associated with misophonia and its subscales, with adjusting
displaying a significantly greater correlation.
H3. Disgust sensitivity will be positively associated with concealing and negatively
with adjusting and tolerating.
H4. Disgust sensitivity and affective styles will be positively associated with emotion
dysregulation, with adjusting and tolerating affective styles displaying a significantly
greater correlation.
H5. Emotion dysregulation will be positively correlated with misophonia and its sub-
scales, misophonic distress and behavioral reactions.
H6. The relationship between disgust sensitivity and misophonic distress, behavioral
reactions to misophonic triggers, and misophonia, with affective styles as covariates,
will be mediated by emotion dysregulation.
Method
Ethics Statement
The study proposal received approval from the IRB of the City University of New York,
and all participants were provided with an informed consent form, endorsement of which
was required to gain access to the survey.
Participants
Using a non-experimental research design, data were collected from a large sample of vol-
unteers recruited through social media platforms such as Facebook, Instagram, Reddit,
and LinkedIn. The survey was promoted through these websites. No personal accounts of
the researchers were used. The survey was posted on misophonia support group pages as
well as on pages of other non-clinical public groups where research participants could be
recruited through survey exchange, sharing, and swap. A link directed participants to the
online information sheet, the consent form, and the battery of questionnaires. Participants
were fluent in English to be able to answer the survey questions and were not currently
experiencing a psychological disorder. Therefore, the following inclusion and exclusion
criteria were applied to select eligible participants. Participants were included in our sam-
ple if they (1) were between 18 and 65years of age, (2) were fluent in English, (3) had no
diagnosis of a medical or psychological condition, and (4) were not taking any psycho-
tropic drugs. Exclusion criteria included (1) not having completed at least 2years of edu-
cation in English, (2) having been diagnosed with a psychiatric disorder, and (3) currently
using psychotropic medication. Data collection commenced in November 2020 and contin-
ued through January 2021 using online questionnaires.
To determine the sample size necessary for this study, we used G*Power version
3.1.9.7. A series of calculations with power equal to 0.7, 0.8, and 0.9 for a multiple
regression model with two control variables, gender and socioeconomic status, and four
continuous predictor variables, an alpha of 0.05 for a medium effect size, yielded sam-
ple sizes ranging from 184 to 225. Based on the series of power analyses, we decided
to collect data on a sample of at least 225 individuals. The study sample comprised 334
individuals (223 females, 104 males, and 7 non-binary individuals), ranging in age from
International Journal of Mental Health and Addiction
1 3
18 to 65years (M = 29.7years, SD = 11.4). Respondents varied in marital status (single
44.9%, married 26.6%, in a relationship 26.6%, divorced or separated 1.8%) and ethnic-
ity (67% White, 18.6% Asian, 3% Latino or Hispanic, 1.8% Middle Eastern, 1.2% Black
Americans, and 8.1% multiple races). The demographic characteristics of the sample
are presented in Table1. This being an international sample, representability of the pop-
ulation cannot be determined/may not be likely.
Measures
Sociodemographic Information Sheet
Participants completed a questionnaire inquiring about their age, sex, marital sta-
tus, education, number of years studied with English as their medium of instruction,
employment status, country of residence, ethnicity, perceived socioeconomic status,
religious and political orientation, medical/psychiatric condition, and medication use.
Table 1 Demographic
characteristics of the sample
(n = 334)s
Variable f %
Sex Male 104 31.14
Female 223 66.77
Non-binary 7 2.09
Marital status Single, never married 150 44.91
Married or in a relationship 178 53.29
Divorced or separated 6 1.80
Education Less than high school diploma 14 4.19
High school or equivalent 43 12.87
Some college but no degree 68 20.36
Associate degree 23 6.89
Bachelor’s degree 95 28.44
Graduate degree 91 27.24
Race White 224 67.06
Asian 62 18.56
Middle Eastern 6 1.80
Black or African American 4 1.20
Hispanic or Latino 10 2.99
From multiple races 27 8.08
Perceived SES Lower class 18 5.23
Lower middle class 73 21.86
Middle class 149 44.61
Upper middle class 83 24.85
Upper class 8 2.39
Refuse to answer 3 0.9
International Journal of Mental Health and Addiction
1 3
The Disgust Scale‑Revised (DS‑R; Olatunji et al., 2007)
The DS-R is a 25-item self-report measure assessing an individual’s propensity to respond
with disgust across various domains of disgust elicitors. The first 13 items are rated as true
or false (scored 0 or 1; e.g., “It bothers me to hear someone clear a throat full of mucus.”),
and the remaining 12 items are rated on a 3-point scale (scored 0, 0.5, 1) and assess the
extent to which participants find a given experience “not disgusting at all,” “slightly dis-
gusting,” or “very disgusting.” Three of the true–false items are reverse scored. The scale
consists of three subscales: (a) core disgust scale with 12 items, (b) animal reminder scale
with 8 items, and (c) contamination disgust scale with 5 items. A total score for overall
disgust sensitivity is calculated by summing responses to the 25 items. The total scores
can range from 0 to 25. Internal consistency in the current study was 0.91. The DS is a
multidimensional instrument with three factors (core disgust, animal reminder disgust, and
contamination-based disgust) and predicts behavioral avoidance of disgusting objects/situ-
ations (Rozin etal., 1999). In the current study, internal consistency (Cronbach’s α) was
found to be 0.75.
Difficulties inEmotion Regulation‑Short Form (DERS‑SF; Kauffman et al., 2016)
Emotion dysregulation was measured using the DERS-SF which is a shortened version of
the 36-item self-report measure called Difficulties in Emotion Regulation Scale developed
by Gratz and Roemer (2004). The 18-item version yields a total score that serves as an
overall index of emotion dysregulation. Consistent with the original scale, this shortened
form also has six subscales, each with 3 items: nonacceptance of emotion (When I’m upset,
I feel ashamed with myself for feeling that way), difficulty engaging in goal directed behav-
ior (When I’m upset, I have difficulty focusing on other things), impulse control difficulties
(When I’m upset, I lose control over my behavior), lack of emotional awareness (I care
about what I am feeling, reverse scored), limited access to emotion regulation strategies
(When I’m upset, I believe that I will end up feeling depressed), and lack of emotional clar-
ity (I have difficulty making sense out of my feelings). Subscale scores are calculated by
adding the scores of individual items. Total scores range from 18 to 90 and are calculated
as the sum of subscale scores, with higher scores indicating poorer emotional regulation.
Adequate internal consistency and concurrent validity have been reported for the DERS-SF
in adolescent and adult samples (Kaufman etal., 2016). In this study, this internal consist-
ency (Cronbach’s α) of the scale was 0.89.
Aective Style Questionnaire (ASQ; Hofmann & Kashdan, 2010)
The ASQ is a 20-item scale, measuring an individual’s tendency to react to emotions. The
20 items are grouped into three subscales each measuring a specific affective style: con-
cealing (8 items), adjusting (7 items), and tolerating (5 items). Respondents indicate their
agreement with each item using a 5-point Likert scale ranging from 1 = not true of me at
all to 5 = extremely true of me. The scale is reported to have sound psychometric proper-
ties. The internal consistency values (Cronbach’s alpha) of the scores of the ASQ subscales
in the US student samples have been reported to be α = 0.84 for the concealing subscale,
α = 0.80 0.82 for the adjusting subscale, and α = 0.66 − 0.68 for the tolerating subscale. In
International Journal of Mental Health and Addiction
1 3
this study Cronbach’s α for the full scale was observed to be as follows: full scale α = 0.87,
concealing subscale α = 0.88, the adjusting subscale α = 0.88, and the tolerating subscale
α = 0.73.
New York Misophonia Scale (NYMS; Barahmand etal., 2021)
The NYMS is a recently developed scale of misophonia. It includes two subscales, one
assessing severity of misophonic distress to various triggers and the other measuring miso-
phonic behavioral reactions to the distress elicitors. The misophonic distress component
consists of a list of 27 triggers (e.g., someone chewing loudly) that may elicit aversive
emotions. Participants indicate how aversive they find each trigger using a 5-point Likert
scale (0 = doesn’t bother me to 4 = disgusting). This component includes four categories
of triggers: mouth sounds (e.g., gum popping), repetitive actions of others (e.g., leg shak-
ing), ambient object sounds (e.g., tap dripping), and ambient people sounds (e.g., neigh-
bors talking). The second component includes a list of 13 behavioral reactions (e.g., I cover
my ears), and participants indicate how often they engage in those behaviors when exposed
to a trigger (0 = never to 4 = always). This component measures aggressive reactions (e.g.,
I become verbally aggressive) and nonaggressive avoidance (e.g., I distract myself). The
items of both components are summed to provide a total misophonia score which can range
from 0 to 160, and emotional arousal (distress) subscale score ranges from 0 to 108, and
the behavioral reactions subscale score ranges from 0 to 52. The scale has been found to
have good internal consistency (Cronbach’s α for the full scale = 0.94, for the emotional
reactions subscale = 0.94, and for the behavioral reactions subscale = 0.85; Barahmand
etal., 2021).
Procedure
All the scales assessing the study variables along with a consent form and a demographic
information sheet were put together into one package on Google Forms, and the link to
the survey was promoted through social media websites including Facebook, Instagram,
LinkedIn, and Reddit. The scales were administered in counterbalanced order and answers
selected from multiple options provided. The battery included 4 sections, which took
approximately 20min to complete in total. Data collection commenced in October 2020
and concluded in December 2020.
Preliminary analyses were conducted to eliminate cases with missing data and to ensure
no violation of assumptions. Descriptive statistics of all variables were computed, and rela-
tionships between the study variables were examined using Pearson’s correlation coeffi-
cients. The statistical significance of the mediation model tested in the current study was
studied using PROCESS, an SPSS macro developed by Hayes (2013).
Results
All hypotheses were assessed against an alpha level of 0.05. Hypotheses 1 to 4 were evalu-
ated with bivariate Pearson’s correlations and multiple regressions, with differences in cor-
relation coefficients evaluated through converting r values to z scores following the process
outlined by Lee and Preacher (2013). Hypothesis 6 was evaluated using three mediations.
Each analysis tested the indirect effect with a mediation performed using the PROCESS
International Journal of Mental Health and Addiction
1 3
add-on in SPSS, selecting model 4 and stipulating the independent variable (IV), covari-
ates (CV), mediator, and dependent variable (DV) (detailed in Fig.1). An examination of
multivariate multicollinearity using the Mahalanobis distance, Cook’s distance, and the
Leverage statistic revealed five potential outliers resulting in a reduced sample size of 334
individuals. For all analyses, there were no violations of normality, linearity, homoscedas-
ticity, sequential dependence, or independence.
Hypotheses 1 to5
The zero-order correlations among variables are presented in Tables2 and 3 alongside the
means and standard deviations. Significant positive correlations were obtained between
disgust sensitivity scores and total misophonia and subscale scores, supporting H1. An
examination of disgust subscale score correlations revealed that while contamination-
based disgust failed to correlate with total misophonia, misophonic distress and miso-
phonic behavioral response scores, animal reminder disgust correlated only with miso-
phonic distress subscale scores, and core disgust correlated with both misophonic distress
and misophonic behavioral response scores as well as total misophonia scores. That is, the
behavioral reaction subscale of misophonia failed to correlate with animal reminder and
contamination-based disgust.
The affective styles, adjusting and tolerating, were negatively associated with misopho-
nia and its subscales, misophonic distress and misophonic behavioral response (p < 0.001),
while concealing showed no significant correlation. The negative correlation of adjusting
and tolerating was only seen with the “aggressive responses” component of the misophonic
behavioral reactions subscale. The associations of adjusting with misophonia (r = − 0.25,
p < 0.001) and with misophonic distress (r = − 0.23, p < 0.001) were not significantly
greater than the association of tolerating with misophonia (r = − 0.18, p < 0.01; z = − 0.9,
p = 0.184) and with misophonic distress (r = − 0.19, p < 0.001; z = − 0.358, p = 0.360).
However, adjusting did show a stronger association with the “aggressive reactions”
component than tolerating (r = − 0.29, p < 0.001; z = − 2.23, p < 0.013). No significant
Emoonal
Dysregulaon
Disgust Emoonal
Distress
Tolerang
Adjusng Behavioral
Reacons
Misophonia
Fig. 1 Path model displaying mediation of emotional dysregulation (EDys) in the relationship between
disgust sensitivity and misophonic distress. Behavioral reactions and misophonia with affective styles as
covariates
International Journal of Mental Health and Addiction
1 3
Table 2 Correlations of disgust sensitivity, affective styles, and emotion dysregulation with misophonia
Variables Misophonia subscales and total score
Eating sounds Repetitive
move-
ments
Ambient
people
sounds
Ambient
object
sounds
Misophonic distress Aggressive reactions Avoidance Behavioral
reactions Misophonia
Core disgust .28*** .25*** .19*** .24*** .32*** .24*** .08 .22*** .31**
Animal reminder .07 .10 .05 .15** .11 .04 − .06 .02 .09
Contamination-based .03 .05 .08 .12* .07 .02 − .10 − .02 .05
Disgust sensitivity .20*** .21*** .16** .25*** .25*** .16** − .02 .13* .23***
Concealing − .03 − .05 − .01 − .04 − .01 − .04 .10 − .01 − .01
Adjusting − .16** − .17** − .30*** − .13* − .23*** − .29*** − .01 − .23*** − .25***
Tolerating − .15** − .17** − .15** − .12* − .19*** − .16** .04 − .12* − .18**
Lack of awareness − .02 .02 .03 .08 .01 − .07 − .13** − .11 − .03
Lack of emotional clarity .12* .16** .20** .15** .19** .22*** .10 .21*** .21***
Nonacceptance of emotions .27*** .19*** .20*** .19** .28*** .35*** .19*** .36*** .33***
Impulse control difficulties .14* .16** .24*** .17** .21*** .32*** − .08 .24*** .24***
Limited access to regulation
strategies
.24*** .18*** .29*** .15** .27*** .36*** .03 .31*** .31***
Difficulties with goal-
directed behavior
.25*** .25*** .32*** .19*** .32*** .37*** .17** .36*** .36***
Emotion dysregulation .26*** .25*** .31*** .24*** .33*** .40*** .08 .36*** .37***
Mean 15.57 7.46 5.94 4.88 33.86 15.77 11.50 27.27 61.13
SD 9.56 7.16 3.75 3.85 19.31 7.54 3.13 9.15 26.00
International Journal of Mental Health and Addiction
1 3
Table 3 Correlations of disgust sensitivity and affective styles with emotion dysregulation indices
Variables Emotion dysregulation
Lack of awareness Lack of emo-
tional clarity
Nonacceptance
of emotions
Impulse control
difficulties
Limited access
to strategies
Difficulties with goal-
directed behavior
Emotion dys-
regulation
M SD
Core disgust − .10 .13* .22*** .26*** .30*** .29*** .29*** 7.89 1.12
Animal reminder − .05 .07 .16** .12* .14* .15** .16** 5.74 .83
Contamination-based .16** .13* .13* .17** .15** .08 .20*** 2.89 .73
Disgust sensitivity − .10 .15* .24*** .26*** .28*** .26*** .31*** 16.53 1.95
Concealing .24*** .13* − .07 − .21*** − .07 − .13* − .04 24.78 7.52
Adjusting .01 − .31*** − .39*** − .41*** − .66*** − .54*** − .59*** 18.93 6.26
Tolerating − .25*** − .29*** − .44*** − .28*** − .36*** − .28*** − .48*** 15.92 4.13
M6.78 6.91 7.93 6.18 7.78 10.66 46.25
SD 2.75 2.81 3.74 3.30 3.19 3.54 13.01
International Journal of Mental Health and Addiction
1 3
correlations emerged between misophonia or its subscales and concealing. H2 was, there-
fore, only partially supported.
In support of H3, our findings revealed strong negative associations between disgust
sensitivity and adjusting (r = − 0.26, p < 0.001) and tolerating (r = − 0.25, p < 0.001) and
a nonsignificant correlation with concealing (r = − 0.10, p = 0.057). Adjusting showed sig-
nificant negative correlations with core disgust (r = − 0.27, p < 0.001), animal reminder
disgust (r = − 0.12, p < 0.05), and contamination-based disgust (r = − 0.14, p < 0.05).
Similarly tolerating correlated negatively with core disgust (r = − 0.21, p < 0.001), ani-
mal reminder disgust (r = − 0.14, p < 0.05), and contamination-based disgust (r = − 0.20,
p < 0.001). Concealing showed a significant negative correlation only with animal reminder
disgust (r = − 0.16, p < 0.01).
In accordance with H4, emotion dysregulation correlated positively with disgust sen-
sitivity (p < 0.001) and negatively with the affective styles, adjusting and tolerating
(p < 0.001), but failed to correlate with concealing. Furthermore, the strength of the asso-
ciation of both the affective styles, adjusting (z = 11.87, p < 0.001) and tolerating (z = 10.0,
p < 0.001), with emotion dysregulation was greater than that of disgust sensitivity. H3 was,
therefore, supported.
In confirmation of H5, significant positive correlations were also obtained between
misophonia and total and all subscale scores of emotion dysregulation except the lack of
awareness subscale.
Mediation Analyses
Hypothesis 6 To examine the mediating effect of emotion dysregulation between disposi-
tional disgust sensitivity and misophonia, Model 4 of the PROCESS macro (Hayes, 2013)
was used with the two affective styles, adjusting and tolerating as covariates. Disgust sensi-
tivity (a1 path; b = 0.86, t(330) = 2.92, p < 0.001 CI [0.28, 1.43]) and the covariates adjust-
ing affective style (a2 path; b = − 0.93, t(330) = − 9.31, p < 0.001, CI [− 1.12, − 0.73])
and tolerating affective style (a3 path; b = − 0.76, t(330) = − 5.06, p < 0.001, CI
[− 1.06, − 0.46]) significantly predicted emotion dysregulation.
Emotion dysregulation was also found to be significantly predictive of misophonic distress
(b1 path; b = 0.38, t(329) = 3.84, p < 0.001, CI [0.19, 0.58]), behavioral reactions to miso-
phonic triggers (b2 path; b = 0.26, t(329) = 5.41, p < 0.001, CI [0.16, 0.35]), and misopho-
nia (b3 path; b = 0.64, t(329) = 4.81, p < 0.001, CI [0.38, 0.90]). However, while disgust
sensitivity (b = 0.11, t(329) = 0.430, p = 0.667, CI [− 0.39, 0.61]) failed to have any direct
effects (c path) on misophonic behavioral reactions, it did have significant direct effects
on misophonic distress (b = 1.65, t(329) = 3.07, p < 0.01, CI [0.59, 2.71]) and misophonia
(b = 1.76, t(329) = 2.46, p < 0.05, CI [0.35, 3.17]).
The two affective styles, adjusting and tolerating, failed to have any direct effects (c
path) on misophonic distress (adjusting b = − 0.09, t(329) = 0.428, p = 0.669, CI [− 0.48,
0.31]; tolerating b = − 0.05, t(329) = − 0.167, p = 0.867, CI [− 0.60, 0.51]), behavioral
reactions (adjusting b = − 0.07, t(329) = − 0.759, p = 0.448, CI [− 0.26, 0.12]; tolerating
b = 0.18, t(329) = 1.38, p = 0.167, CI [− 0.08, 0.45]), and misophonia (adjusting b = − 0.16,
t(329) = − 0.592, p = 0.554, CI [− 0.69, 0.37]; tolerating b = 0.14, t(329) = 0.367, p = 0.714,
CI [− 0.60, 0.88]).
These findings indicate that difficulties regulating emotions partially mediate the associ-
ation between dispositional disgust sensitivity and misophonic distress and misophonia but
International Journal of Mental Health and Addiction
1 3
completely mediate the association between disgust sensitivity and behavioral reactions to
misophonic triggers. Calculated as the product of paths a and b, the indirect effects of emo-
tion dysregulation on misophonic distress (unstandardized indirect effect = 0.33, SE = 0.14,
CI [0.10, 0.63]), behavioral reactions (unstandardized indirect effect = 0.22, SE = 0.08, CI
[0.07, 0.40]), and misophonia (unstandardized indirect effect = 0.55, SE = 0.21, CI [0.19,
1.02]) were found to be significant as the confidence intervals do not contain zero. Results
of the three mediation analyses are displayed in Table4. These findings provide confirma-
tion of H6.
Discussion
This study explored the relationship between disgust sensitivity, emotion dysregulation,
and features of misophonia. In accordance with H1, disgust sensitivity was positively asso-
ciated with misophonia and its subscales, misophonic distress and behavioral reactions.
This study is the first, to our knowledge, to report the associations between dispositional
disgust sensitivity and misophonia and suggests that disgust sensitivity may be relevant to
understanding misophonia symptomatology. This finding provides support for the trans-
diagnostic model of disgust proneness proposed by Olatunji etal. (2017) in which dis-
gust proneness is conceptualized as a proximal risk factor that can lead to psychopathology
when it interacts with cognitions and emotions (moderators) to shape responses through
various learning pathways. In the case of misophonia, we speculate that disgust sensitivity
and mental contamination play a role in the trajectory to misophonia. Mental contamina-
tion occurs consequent to an individual’s interpretation of thoughts, images, and experi-
ences as dirty, immoral, or wrong (Radomsky etal., 2013). Triggers of misophonia likely
evoke mental contamination. Mental contamination and the mechanisms linking it to dis-
gust sensitivity require further research.
In a recent study, the presence of disgust was reported to be a positive predictor of
treatment response in individuals with misophonia (Schröder etal., 2017), implying that
there might be people with misophonia who do not experience disgust. Furthermore, the
Table 4 Path coefficients and indirect effects for the mediation models
Note: DIS disgust sensitivity, Adj adjusting, Tol tolerating, EDys emotion dysregulation, MisD misophonic
distress, BehRe behavioral reactions, Miso misophonia
To EDys To MisD To BehRe To Miso Indirect effects
Bias corrected
Estimate Bootstrap 95%
confidence
interval
Disgust sensitivity .86 (.29)** 1.65 (.54)** .11 (.25) 1.76 (.72)*
Adjusting − .93 (.10)*** − .09 (.20) − .07 (.10) − .16 (.27)
Tolerating − .76 (.15)*** − .05 (.28) .18 (.13) .14 (.38)
EDys .38 (.10)*** .25 (.05)*** .64 (.13)***
Total 1.98 (.54)*** .33 (.26) 2.31 (.73)**
DIS EDys MisD .33 (.14) 0.10, 0.63
DIS EDys BehRe .22 (.08) .07, .40
DIS EDys Miso .55 (.21) .19, 1.02
International Journal of Mental Health and Addiction
1 3
authors speculated whether disgust may be associated only with mouth sounds. How-
ever, in our study, disgust sensitivity was associated with all the misophonic triggers
examined, mouth sounds, repetitive actions, and sounds and ambient sounds from peo-
ple and objects, indicating that dispositional disgust may in general predispose individu-
als to misophonia. In addition, contrary to the findings of Schröder etal., 2017, mouth
sounds correlated only with core disgust and failed to correlate with animal reminder
and contamination-based disgust, implying that the misophonic triggers may be per-
ceived as transgressions by others, behaviors seen as unclean, undesirable, and in con-
flict with morals or values and experienced as distressing mental contamination (Rach-
man etal., 2012).
The negative association of the affective styles adjusting and tolerating with aggres-
sive reactions in misophonia is consistent with findings of Memedovic etal. (2010) and
Martin and Dahlen (2004) who also pointed out that individuals with low reappraisal skills
and low frustration tolerance tend to display greater anger. In other words, individuals who
lack reappraisal skills or show reduced acceptance of negative emotions are more likely
to respond to misophonic triggers with aggressive responses. Adjusting showed a stronger
association. Parallel to the current findings, Totzeck etal. (2020) found remission from
anxiety disorders associated with higher scores on adjusting. It can be concluded that the
adjusting style (reframing one’s thoughts) is protective against psychopathology, and low
scores on this affective style may place an individual at risk for misophonia. The obtained
finding may have therapeutic implications. Although the positive effects of both reappraisal
and acceptance on psychological health have been confirmed (Shallcross et al., 2015),
it cannot be assumed that possession of these strategies will result in their employment
and result in a reduction of aggressive responses to misophonic triggers. As Gross and
Jazaieri (2014) have noted, the intensity of the emotion being experienced and the cogni-
tive demands of the current situation are also important considerations.
The negative association of disgust sensitivity with adjusting and tolerating implies
that disgust sensitivity may predispose a person to maladaptive affective styles preclud-
ing the use of adjusting (reappraisal) and tolerating (acceptance). Gross and Jazaieri
(2014) have pointed out that healthy emotional regulation entails clarity regarding
emotional intensity, knowledge of the differential efficacy of various strategies, and
accurate assessment of self-efficacy. Accordingly, disgust sensitivity may impact any
of these aspects directly or indirectly through distressing, vivid, involuntary images
and visual memories of real or imaginary events that are triggered by cues and result
in the individual experiencing or reexperiencing a negative event with various sensory
qualities Harvey etal. (2004) consider intrusive visual images and memories transdi-
agnostic. It is plausible that disgust sensitivity, also a transdiagnostic factor (Olatunji
etal., 2017), together with intrusive images contributes to the development of a mala-
daptive affective style.
The associations of disgust sensitivity, and deficits in adjusting and tolerating, with
emotion dysregulation provide support for the idea that disgust sensitivity is a latent
pathogenic trait that is activated by stress and associated with deficient coping strate-
gies as well as a vulnerability for psychophysiological strain (Rohrmann etal., 2009).
In the same vein, Olatunji etal. (2014) claimed that low disgust sensitivity may be
indicative of emotional hardiness, distress tolerance, or resilience. Furthermore,
the stronger correlation of the affective styles than disgust sensitivity with emotion
dysregulation may have therapeutic implications. It is likely that strengthening indi-
viduals’ abilities for adjusting and tolerating will have positive effects on well-being
by preventing the development of maladaptive emotion regulation strategies such as
International Journal of Mental Health and Addiction
1 3
experiential avoidance which are risk factors for psychopathology (Aldao etal., 2010;
Troy etal., 2018).
As anticipated in support of our fifth hypothesis, difficulties regulating emotions were posi-
tively associated with both the misophonic distress and the behavioral reactions to distress
elicitors in misophonia. This is in harmony with robust literature (e.g., Gross & Jazaieri, 2014;
Kneeland etal., 2016; Sheppes et al., 2015) indicating the association of emotion regulation
problems with psychopathology.
More notably, evidence was obtained for the mediating role of emotion regulation in
the relationship between dispositional disgust sensitivity and misophonia. Specifically,
dispositional disgust sensitivity contributes both directly and indirectly through emotion
dysregulation, to misophonic distress and misophonia, but has no direct effects on the
behavioral reactions to the distress elicited by misophonic triggers. Furthermore, while
all the components of disgust correlated with misophonic distress, only core disgust
was significantly associated with all the aggressive responses to the distressing triggers.
These findings imply that while dispositional disgust may predispose an individual to
experience annoyance and distress when exposed to repetitive oral sounds or actions,
it does not predispose them to aggressive reactions. The aggressive reactions seen may
actually be the consequence of emotion regulation failures. The finding that the two
affective styles, adjusting and tolerating, failed to have any direct effects on misophonic
distress or behavioral reactions adds further credence to this implication. Along with the
observed associations among subscale scores, it is reasonable to assume that the aggres-
sive responses displayed by individuals with misophonia is due to lack of emotional clar-
ity, difficulty controlling impulses, presence of dysfunctional emotion-regulatory goals,
or lack of access to appropriate regulatory strategies (Gross & Jazaieri, 2014). Further-
more, the results also show that lack of adjusting, an adaptive emotion regulation strat-
egy which includes reappraisal, could be risk factor in the development of aggressive
responses in misophonia.
Limitations
This study has certain limitations that should be taken into consideration when interpret-
ing the findings. Firstly, the study gathered data using self-report scales, which preclude
any generalizations about individuals diagnosed with misophonia or sound sensitivity.
Also, the study sample included individuals not diagnosed with misophonia. Although
participants in the present study did span a wide range in age, ethnicity, and scale scores,
a comparison of the clinical population with non-clinical counterparts will clarify if the
obtained results generalize to a clinical population as well. Secondly, participants were
recruited through social media websites; therefore, individuals not using these websites
were automatically excluded from the study. Thirdly, our study samples all comprised a
greater number of female respondents. This is a trend reported by several other psycho-
logical studies utilizing online surveys, implying that the over-representation of females
in online research may not be related to the subject matter (Kalmijn & Liefbroer, 2011;
Slauson-Blevins & Johnson, 2016). Yet, caution is advised when generalizing the results
to males. Finally, the mediation model only implies causality, and confirmation requires
future validation through longitudinal research. Yet, the study findings do provide rea-
sonable direction regarding causal effects.
International Journal of Mental Health and Addiction
1 3
Conclusions
The finding that disgust sensitivity has direct and indirect effects on misophonic distress
suggests that disgust proneness alone, or coupled with maladaptive coping strategies,
may predispose a person to misophonia. The results suggest that individuals with a dis-
position to disgust sensitivity and whose affective style is characterized by underutiliza-
tion of reappraisal and acceptance are at risk for experiencing emotion dysregulation
when confronted with sounds and sights that are interpreted as aversive, which can then
perpetuate misophonic distress and aggressive reactions. Concealing or suppression
does not seem to play an important role in misophonia.
Furthermore, the study shows that while disgust sensitivity and the maladaptive
affective styles (low reappraisal and acceptance) are associated with similar emotion
dysregulation and influence an individual’s experience of overall misophonic distress,
only core disgust was associated with every one of the triggers examined. The absence
of an association between animal reminder disgust and contamination-based disgust
with distress from mouth sounds implies that contagion concerns are less relevant in
misophonia. Also, only core disgust and the absence of an adaptive affective style con-
tributed to aggressive reactions in misophonia. These findings imply that disgust in mis-
ophonia is elicited rapidly and automatically as affective and cognitive processes inter-
act and stimulate behavioral and mental responses to the disgust elicitor (Izard, 2007).
Since in misophonia, the disgust is elicited by visual and auditory triggers, and since
contamination-based and animal reminder disgust were not associated with misophonia,
concerns about mental contamination (Elliott and Radomsky, 2013) may be more sali-
ent, and an investigation into the role of mental contamination in misophonia may be
warranted. Mental contamination is a feeling of internal dirtiness elicited by intangible
stimuli. Merely observing or thinking about something unclean, immoral, or undesir-
able can give rise to mental contamination (Rachman, 2004). There is evidence that a
predisposition to disgust may be a vulnerability factor for mental contamination (Fong
and Sündermann, 2020).
The disgust sensitivity-related associations found in the current study may be of clin-
ical value in the context of psychopathology. Although present findings do imply that
disgust sensitivity may be an important vulnerability factor for misophonia, it may not
have the same disease avoidance function as it does in many anxiety and fear-related
disorders. A critical next step would be to investigate whether clinical participants as a
group or specific subgroups of them show both increased disgust sensitivity and height-
ened mental contamination. Furthermore, interventions focused on reducing disgust
sensitivity may also be effective in treating misophonia.
The present study adds to the literature by providing a more informed understand-
ing of how individual differences in disgust sensitivity are linked to feelings of distress
and behavioral reactions seen in misophonia. Thus, it can be tentatively concluded that
dispositional disgust sensitivity may perpetuate the use of dysfunctional emotion regu-
lation strategies, resulting in heightened misophonia symptoms. Results emphasize the
need for future research to investigate other variables such as mental contamination that
may contribute to the relationship between disgust sensitivity and misophonia.
Data availability All data are available upon reasonable request.
International Journal of Mental Health and Addiction
1 3
Declarations
Ethics Approval The study proposal received approval from the IRB of The City University of New York.
Consent to Participate All participants provided informed consent before gaining access to the survey ques-
tions used in this study.
Conflict of Interest The authors declare no competing interests.
References
Aldao, A., & Dixon-Gordon, K. (2014). Broadening the scope of research on emotion regulation strategies
and psychopathology. Cognitive Behaviour Therapy, 43(1), 22–33. https:// doi. org/ 10. 1080/ 16506 073.
2013. 816769
Aldao, A., & Nolen-Hoeksema, S. (2012). When are adaptive strategies most predictive of psychopathol-
ogy? Journal of Abnormal Psychology, 121(1), 276–281.
Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010). Emotion-regulation strategies across psychopa-
thology: A meta-analytic review. Clinical Psychology Review, 30(2), 217–237.
Badour, C., Feldner, M., Babson, K., Blumenthal, H., & Dutton, C. (2012). Disgust, mental contamination,
and posttraumatic stress: Unique relations following sexual versus non-sexual assault. Journal of Anxi-
ety Disorders, 27(1), 155–162. https:// doi. org/ 10. 1016/j. janxd is. 2012. 11. 002
Baker, R., Holloway, J., Thomas, P., Thomas, S., & Owens, M. (2004). Emotional processing and panic.
Behaviour Research and Therapy, 42(11), 1271–1287. https:// doi. org/ 10. 1016/j. brat. 2003. 09. 002
Barahmand, U., Stalias-Mantzikos, M., Xiang, Y., & Rotlevi, E. (2021). New York misophonia screener: A
new instrument to identify misophonia in the general population. A poster accepted for presentation at
the Annual Meeting of the Eastern Psychological Association,
Besharat, M., Nia, M., & Farahani, H. (2012). Anger and major depressive disorder: The mediating role of
emotion regulation and anger rumination. Asian Journal of Psychiatry, 6(1), 35–41. https:// doi. org/ 10.
1016/j. ajp. 2012. 07. 013
Bruxner, G. (2016). Mastication rage’: A review of misophonia - An under-recognised symptom of psy-
chiatric relevance? Australian Psychiatry, 24(2), 195–197. https:// doi. org/ 10. 1177/ 10398 56215 613010
Bujor, L., & Turliuc, M. (2020). The personality structure in the emotion regulation of sadness and anger.
Personality and Individual Differences, 162, 109999. https:// doi. org/ 10. 1016/j. paid. 2020. 109999
Chapman, H. A., Kim, D. A., Susskind, J. M., & Anderson, A. K. (2009). In bad taste: Evidence for the oral
origins of moral disgust. Science, 323(5918), 1222–1226.
Curtis, V., de Barra, M., & Aunger, R. (2011). Disgust as an adaptive system for disease avoidance behav-
iour. Philosophical Transactions. Biological Sciences, 366(1563), 389– 401. https:// doi. org/ 10. 1098/
rstb. 2010. 0117
Davey, G. C. L. & Bond, N. (2006). Using controlled comparisons in disgust psychopathology research: The
case of disgust, hypochondriasis and health anxiety. Journal of Behavior Therapy and Experimental
Psychiatry, 37(1), 4–15. https:// doi. org/ 10. 1016/j. jbtep. 2005. 09. 001
Davidson, R. J. (1992). Emotion and Affective Style: Hemispheric Substrates. Psychological Science, 3(1),
39–43. https:// doi. org/ 10. 1111/j. 14679280. 1992. tb002 54.x
Dozier. (2015). Etiology, composition, development and maintenance of misophonia: a conditioned aversive
reflex disorder. Psychological Thought, 8(1), 114–129. https:// doi. org/ 10. 5964/ psyct. v8i1. 132
Dozier, & Morrison, K. L. (2017). Phenomenology of misophonia: initial physical and emotional responses.
The American Journal of Psychology, 130(4), 431–438. https:// doi. org/ 10. 5406/ amerj psyc. 130.4. 0431
Edelstein, M., Brang, D., Rouw, R., & Ramachandran, V. (2013). Misophonia: Physiological investigations
and case descriptions. Frontiers in Human Neuroscience, 25(7), 296. https:// doi. org/ 10. 3389/ fnhum.
2013. 00296
Ekman. (1992). Are There Basic Emotions? Psychological Review, 99(3), 550–553. https:// doi. org/ 10. 1037/
0033- 295X. 99.3. 550
Elliott, C., & Radomsky, A. (2013). Meaning and mental contamination: Focus on appraisals. Clinical Psy-
chologist (australian Psychological Society), 17(1), 17–25. https:// doi. org/ 10. 1111/ cp. 12002
International Journal of Mental Health and Addiction
1 3
Erwin, B., Heimberg, R., Schneier, F., & Liebowitz, M. (2003). Anger experience and expression in social
anxiety disorder: Pretreatment profile and predictors of attrition and response to cognitive-behavioral
treatment. Behavior Therapy, 34(3), 331–350. https:// doi. org/ 10. 1016/ S0005- 7894(03) 80004-7
Fong, Z., & Sündermann, O. (2020). Modulating disgust in mental contamination: Experimental evidence
for the role of disgust. Journal of Behavior Therapy and Experimental Psychiatry, 68, 101567–
101567. https:// doi. org/ 10. 1016/j. jbtep. 2020. 101567
Giner-Sorolla, R., & Chapman, H. A. (2017). Beyond purity: Moral disgust toward bad character. Psycho-
logical Science, 28, 80–91. https:// doi. org/ 10. 1177/ 09567 97616 673193
Giner-Sorolla, R., Kupfer, T., & Sabo, J. (2018). Chapter five - What makes moral disgust special? An inte-
grative functional review. Advances in Experimental Social Psychology, 57, 223–289.
Gross, J. J., & John, O. P. (2003). Individual differences in two emotion regulation processes: Implications
for affect, relationships, and well-being. Journal of Personality and Social Psychology, 85(2), 348–
362. https:// doi. org/ 10. 1037/ 0022- 3514. 85.2. 348
Gross, & Jazaieri, H. (2014). Emotion, Emotion Regulation, and Psychopathology: An Affective Science Per-
spective. Clinical Psychological Science, 2(4), 387–401. https:// doi. org/ 10. 1177/ 21677 02614 536164
Gross, J. J., & Thompson, R. A. (2007). Emotion regulation: Conceptual foundations. In J. J. Gross (Ed.),
Handbook of emotion regulation (pp. 3–24). The Guilford Press.
Harvey, A. D., Murray, G., Chandler, R. A., & Soehner, A. (2011). Sleep disturbance as transdiagnostic:
Consideration of neurobiological mechanisms. Clinical Psychology Review, 31(2), 225–235. https://
doi. org/ 10. 1016/j. cpr. 2010. 04. 003
Harvey, A. G., Watkins, E., Mansell, W., & Shafran, R. (2004). Cognitive behavioural processes across psy-
chological disorders: A transdiagnostic approach to research and treatment. Oxford University Press.
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression
based approach. Guilford Press.
Hofmann, S. G., & Kashdan, T. B. (2010). The Affective Style Questionnaire: Development and psychomet-
ric properties. Journal of Psychopathology and Behavioral Assessment, 32(2), 255–263. https:// doi.
org/ 10. 1007/ s10862- 009- 9142-4
Hofmann, S. G., Sawyer, A. T., Fang, A., & Asnaani, A. (2012). Emotion dysregulation model of mood and
anxiety disorders. Depression and Anxiety, 29, 409–416. https:// doi. org/ 10. 1002/ da. 21888
Ille, R., Schöggl, H., Kapfhammer, H. P., Arendasy, M., Sommer, M., & Schienle, A. (2014). Self-disgust
in mental disorders—Symptom-related or disorder-specific? Comprehensive Psychiatry, 55, 938–943.
Izard, C. E. (2007). Basic emotions, natural kinds, emotion schemas, and a new paradigm. Perspectives on
Psychological Science, 2, 260–280.
Jacoby, R., Blakey, S., Reuman, L., & Abramowitz, J. (2018). Mental contamination obsessions: An exami-
nation across the obsessive-compulsive symptom dimensions. Journal of Obsessive-Compulsive and
Related Disorders, 17, 9–15. https:// doi. org/ 10. 1016/j. jocrd. 2017. 08. 005
Jager, I., de Koning, P., Bost, T., Denys, D., Vulink, N., & Doering, S. (2020). Misophonia: Phenomenology,
comorbidity and demographics in a large sample. PLoS ONE, 15(4), e0231390–e0231390. https:// doi.
org/ 10. 1371/ journ al. pone. 02313 90
Jones, A., & Fitness, J. (2008). Moral hypervigilance: The influence of disgust sensitivity in the moral
domain. Emotion (Washington, D.C.), 8(5), 613–627. https:// doi. org/ 10. 1037/ a0013 435
Kalmijn, M., & Liefbroer, A. (2011). Nonresponse of secondary respondents in multi-actor surveys: Deter-
minants, consequences and possible remedies. Journal of Family Issues, 32(6), 735–766. https:// doi.
org/ 10. 1177/ 01925 13X10 390184
Karababa, A. (2020). The relationship between trait anger and loneliness among early adolescents: The
moderating role of emotion regulation. Personality and Individual Differences, 159, 109856. https://
doi. org/ 10. 1016/j. paid. 2020. 109856
Kaufman, E.A., Xia, M., Fosco, G., Yaptangco, M., Skidmore, C.R., & Crowell, S. (2016). The Difficulties
in Emotion Regulation Scale Short Form (DERS-SF): Validation and replication in adolescent and
adult samples. Journal of Psychopathology and Behavioral Assessment, 38(443). https:// doi. org/ 10.
1007/ s10862- 015- 9529-3
Kneeland, E. T., Dovidio, J. F., Joorman, J., & Clark, M. S. (2016). Emotion malleability beliefs, emo-
tion regulation, and psychopathology: Integrating affective and clinical science. Clinical Psychology
Review, 45, 81–88. https:// doi. org/ 10. 1016/j. cpr. 2016. 03. 008
Kulkarni, M., Porter, K., & Rauch, S. (2012). Anger, dissociation, and PTSD among male veterans entering
into PTSD treatment. Journal of Anxiety Disorders, 26(2), 271–278. https:// doi. org/ 10. 1016/j. janxd is.
2011. 12. 005
Kumar, S., Tansley-Hancock, O., Sedley, W., Winston, J., Callaghan, M., Allen, M., Cope, T., Gander,
P., Bamiou, D., & Griffiths, T. (2017). The brain basis for misophonia. Current Biology, 27(4),
527–533. https:// doi. org/ 10. 1016/j. cub. 2016. 12. 048
International Journal of Mental Health and Addiction
1 3
Kumar, S., Hancock, O., Cope, T., Sedley, W., Winston, J., & Griffiths, T. D. (2014). Misophonia: a dis-
order of emotion processing of sounds. Journal of Neurology, Neurosurgery and Psychiatry, 85(8),
e3–e3. https:// doi. org/ 10. 1136/ jnnp2014308883. 38
Lee, I. A., & Preacher, K. J. (2013). Calculation for the test of the difference between two dependent
correlations with one variable in common [Computer software]. Available from http:// quant psy. org
Lieberman, D., Patrick, C. Tybur, J. M., & O’Brien, D. (2014). Are the behavioral immune system and
pathogen disgust identical? Evolutionary Behavioral Sciences, 8(4), 244–250. https:// doi. org/ 10.
1037/ ebs00 00018
Martin, R. C., & Dahlen, E. R. (2005). Cognitive emotion regulation in the prediction of depression,
anxiety, stress, and anger. Personality and Individual Differences, 39(7), 1249–1260. https:// doi.
org/ 10. 1016/j. paid. 2005. 06. 004
Martin, R. C., & Dahlen, E. R. (2004). Irrational beliefs and the experience and expression of anger.
Journal of Rational-Emotive & Cognitive-Behavior Therapy, 22(1), 3–20.
McNally, R. J. (2002). Disgust has arrived. Journal of Anxiety Disorders, 16(5), 561–566. https:// doi.
org/ 10. 1016/ S0887 6185(02) 00174 3
Memedovic, S., Grisham, J. R., Denson, T. F., & Moulds, M. L. (2010). The effects of trait reappraisal
and suppression on anger and blood pressure in response to provocation. Journal of Research in
Personality, 44, 540–543.
Muris, P., Merckelbach, H., Nederkoorn, S., Rassin, E., Candel, I., & Horselenberg, R. (2000). Disgust
and psychopathological symptoms in a nonclinical sample. Personality and Individual Differences,
29(6), 1163–1167. https:// doi. org/ 10. 1016/ S0191 8869(99) 00263 9
Olatunji, B. O. (2009). Incremental specificity of disgust propensity and sensitivity in the prediction of
health anxiety dimensions. Journal of Behavior Therapy and Experimental Psychiatry, 40, 230–
239. https:// doi. org/ 10. 1016/j. jbtep. 2008. 10. 003
Olatunji, B. O. & Sawchuk, C. N. (2005). Disgust : Characteristic features, social manifestations, and
clinical implications. Journal of Social and Clinical Psychology, 24(7), 932–962. https:// doi. org/
10. 1521/ jscp. 2005. 24.7. 932
Ojserkis, R., McKay, D., & Lebeaut, A. (2017). Associations between mental contamination, disgust,
and obsessive-compulsive symptoms in the context of trauma. Journal of Obsessive-Compulsive
and Related Disorders. https:// doi. org/ 10. 1016/j. jocrd. 2017. 02. 002
Olatunji, B. O., Armstrong, T., & Elwood, L. (2017). Is disgust proneness associated with anxiety and related
disorders? A qualitative review and meta-analysis of group comparison and correlational studies. Per-
spectives on Psychological Science, 12(4), 613–648. https:// doi. org/ 10. 1177/ 17456 91616 688879
Olatunji, B. O., Armstrong, T., Fan, Q., & Zhao, M. (2014). Risk and resiliency in posttraumatic stress
disorder: Distinct roles of anxiety and disgust sensitivity. Psychological Trauma, 6(1), 50–55.
https:// doi. org/ 10. 1037/ a0029 682
Olatunji, B., Cisler, J., McKay, D., & Phillips, M. (2010). Is disgust associated with psychopathology?
Emerging research in the anxiety disorders. Psychiatry Research, 175(1), 1–10. https:// doi. org/ 10.
1016/j. psych res. 2009. 04. 007
Olatunji, B. O., Ebesutani, C., David, B., Fan, Q., & McGrath, P. B. (2011a). Disgust proneness and
obsessive-compulsive symptoms in a clinical sample: Structural differentiation from negative
affect. Journal of Anxiety Disorders, 25, 932–938. https:// doi. org/ 10. 1016/j. janxd is. 2011. 05. 006
Olatunji, B. O., Tart, C. D., Ciesielski, B. G., McGrath, P. B., & Smits, J. A. J. (2011b). Specificity of
disgust vulnerability in the distinction and treatment of OCD”. Journal of Psychiatric Research,
45(9), 1236–1242.
Rachman, S. J. (2004). Fear of contamination. Behaviour Research and Therapy, 42, 1227–1255.
Rachman, S., Radomsky, A., Elliott, C., & Zysk, E. (2011). Mental contamination: The perpetrator
effect. Journal of Behavior Therapy and Experimental Psychiatry, 43(1), 587–593. https:// doi. org/
10. 1016/j. jbtep. 2011. 08. 002
Rachman, S., Radomsky, A. S., Elliott, C. M., & Zysk, E. (2012). Mental contamination: The perpetrator
effect. Journal of Behavior Therapy and Experimental Psychiatry, 43, 587–593. https:// doi. org/ 10.
1016/j. jbtep. 2011. 08. 002
Radomsky, A. S., Rachman, S., Shafran, R., Coughtrey, A. E., & Barber, K. C. (2013). The nature and
assessment of mental contamination: A psychometric analysis. Journal of Obsessive-Compulsive
and Related Disorders, 3(2), 181–187. https:// doi. org/ 10. 1016/j. jocrd. 2013. 08. 003
Ray, D. R., Wilhelm, F. H., & Gross, J. J. (2008). All in the mind’s eye? Anger rumination and reap-
praisal. Journal of Personality and Social Psychology, 94, 133–145.
Rohrmann, S., Hopp, H., Schienle, A., & Hodap, V. (2009). Emotion regulation, disgust sensitivity, and
psychophysiological responses to a disgust-inducing film. Anxiety, Stress, and Coping, 22(2), 215–
236. https:// doi. org/ 10. 1080/ 10615 80080 20165 91
International Journal of Mental Health and Addiction
1 3
Rouw, R., & Erfanian, M. (2018). A large-scale study of misophonia. Journal of Clinical Psychology, 74(3),
453–479. https:// doi. org/ 10. 1002/ jclp. 22500
Rozin, P., Haidt, J., & McCauley, C. R. (2000). Disgust. In M. Lewis & J. M. Haviland (Eds.), Handbook of
emotions (2nd ed., pp. 637–653). Guilford Press.
Schaller, M. & Park, J. H. (2011). The behavioral immune system (and Why It Matters). Current Directions
in Psychological Science : A Journal of the American Psychological Society, 20(2), 99–103. https://
doi. org/ 10. 1177/ 09637 21411 402596
Shallcross, A.J., Troy, A., & Mauss, I.B. (2015). Regulation of emotions under stress. Emerging Trends in
the Social and Behavioral Sciences, 1–16https:// doi. org/ 10. 1002/ 97811 18900 772. etrds 0036
Sheppes, G., Suri, G., & Gross, J. (2015). Emotion regulation and psychopathology. Annual Review of Clini-
cal Psychology, 11(1), 379–405. https:// doi. org/ 10. 1146/ annur ev- clinp sy- 032814- 112739
Schröder, A., van Diepen, R., Mazaheri, A., PetropoulosPetalas, D., de Amesti, V. S., Vulink, N., & Denys,
D. (2014). Diminished N1 auditory evoked potentials to oddball stimuli in misophonia patients. Fron-
tiers in Behavioral Neuroscience, 8, 123–123. https:// doi. org/ 10. 3389/ fnbeh. 2014. 00123
Schröder, A., van Wingen, G., Vulink, N., & Denys, D. (2017). Commentary: The brain basis for misopho-
nia. Frontiers in Behavioral Neuroscience, 11, 111–111. https:// doi. org/ 10. 3389/ fnbeh. 2017. 00111
Slauson-Blevins, K., & Johnson, K. M. (2016). doing gender, doing surveys? Women’s gatekeeping and
men’s non-participation in multi-actor reproductive surveys. Sociological Inquiry, 86(3), 427–449.
https:// doi. org/ 10. 1111/ soin. 12
Taylor, S. (2017). Misophonia: A new mental disorder? Medical Hypotheses, 103, 109–117. https:// doi. org/
10. 1016/j. mehy. 2017. 05. 003
Taylor, S. (2019). The psychology of pandemics: preparing for the next global outbreak of infectious dis-
ease. Cambridge: Cambridge Scholars Publishing
Tamir, M. (2009). What do people want to feel and why? Pleasure and utility in emotion regulation. Cur-
rent Directions in Psychological Science : a Journal of the American Psychological Society, 18(2),
101–105. https:// doi. org/ 10. 1111/j. 1467- 8721. 2009. 01617.x
Tolin, Woods, C. M., & Abramowitz, J. S. (2006). Disgust sensitivity and obsessive–compulsive symptoms
in a nonclinical sample. Journal of Behavior Therapy and Experimental Psychiatry, 37(1), 30–40.
https:// doi. org/ 10. 1016/j. jbtep. 2005. 09. 003
Totzeck, T., Teisman, T., Hofmann, S. G., von Brachel, R., Zhang, X. C., Wannemuller, A., Pflug, V., &
Margraf, J. (2018). Affective styles in mood and anxiety disorders – Clinical validation of the “Affec-
tive Style Questionnaire” (ASQ). Journal of Affective Disorders, 238, 392–398. https:// doi. org/ 10.
1016/j. jad. 2018. 05. 035
Totzeck, T., Teisman, T., Hofmann, S. G., von Brachel, R., Zhang, X. C., Wannemuller, A., Pflug, V., &
Margraf, J. (2020). Affective styles in panic disorder and specific phobia: Changes through cognitive
behavior therapy and prediction of remission. Behavior Therapy, 51(3), 375–385. https:// doi. org/ 10.
1016/j. beth. 2019. 06. 006
Troy, A. S., Shallcross, A. J., Brunner, A., Friedman, R., Jones, M. C., & Pietromonaco, P. R. (2018). Cog-
nitive reappraisal and acceptance: Effects on emotion, physiology, and perceived cognitive costs. Emo-
tion (Washington, D.C.), 18(1), 58–74. https:// doi. org/ 10. 1037/ emo00 00371
Tybur, J. M., Lieberman, D., Kurzban, R., DeScioli, P. & Anderson, J. (2013). Disgust: Evolved Function
and Structure. Psychological Review, 120(1), 65–84. https:// doi. org/ 10. 1037/ a0030 778
van Overveld, W., de Jong, P., Peters, M., Cavanagh, K., & Davey, G. (2006). Disgust propensity and disgust
sensitivity: Separate constructs that are differentially related to specific fears. Personality and Indi-
vidual Differences, 41(7), 1241–1252. https:// doi. org/ 10. 1016/j. paid. 2006. 04. 021
Wheeler, R. E., Davidson, R. J., & Tomarken, A. J. (1993). Frontal brain asymmetry and emotional activity:
A biological substrate of affective style. Psychophysiology, 30, 82–89. https:// doi. org/ 10. 1111/j. 1469-
8986. 1993. tb032 07.x
Whitton, A. E., Henry, J. D., & Grisham, J. R. (2015). Cognitive and psychophysiological correlates of dis-
gust in obsessive-compulsive disorder. British Journal of Clinical Psychology, 54, 16–33. https:// doi.
org/ 10. 1111/ bjc. 12058
Wu, M., Lewin, A., Murphy, T., & Storch, E. (2014). Misophonia: Incidence, phenomenology, and clinical
correlates in an undergraduate student sample: Misophonia. Journal of Clinical Psychology, 70(10),
994–1007. https:// doi. org/ 10. 1002/ jclp. 22098
Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and
institutional affiliations.
... These individuals may not eat or may avoid certain situations due to the presence of selective sounds [3]. Deficits in emotion regulation are central to the negative emotionality and severity of misophonia [4,5] and the negative emotions elicited by the aversive triggers can range from mild annoyance to intense distress, anger or disgust [5]. ...
... These individuals may not eat or may avoid certain situations due to the presence of selective sounds [3]. Deficits in emotion regulation are central to the negative emotionality and severity of misophonia [4,5] and the negative emotions elicited by the aversive triggers can range from mild annoyance to intense distress, anger or disgust [5]. ...
... Disgust sensitivity and propensity have been associated with anorexia nervosa [10], post-traumatic symptoms [11], obsessivecompulsive symptoms [12], negative body image [13] and depression [14]. Disgust proneness has also been reported to be associated with distress and behavioral reactions in misophonia [5]. ...
Article
Full-text available
Aim of the study In the current study, the authors sought to examine whether the link between moral and sexual disgust and misophonia is mediated by mental contamination. Subject or material and methods An internationally diverse sample of 283 adults (193 females, 76 males, and 14 non-binary individuals) ranging in age from 18 to 60 years old was recruited from online social media platforms and survey recruitment sites. The sample completed an online battery of scales that consisted of the New York Misophonia Scale, State Metal Contamination Scale, and the Three-Domain Disgust Scale. The hypotheses were evaluated using a series of mediations. performed using the PROCESS add-on in SPSS. Results Correlations were found between emotional and aggressive-avoidant reactions in misophonia, mental contamination, pathogen disgust, and sexual disgust. Moral disgust and non-aggressive reactions in misophonia failed to correlate significantly with any of the other constructs. Sexual disgust had direct and indirect effects while pathogen disgust had only direct effects on aspects of misophonia. Discussion These findings partially support our hypothesis that mental contamination mediates the link between disgust propensity and misophonia while also confirming that pathogen-based disgust is not associated with mental contamination. Conclusions Findings imply that misophonia is distinct from obsessive-compulsive disorder. Further research into the conceptualization of moral disgust is warranted.
... Disgust sensitivity has been reported in both OCD 31,32 and misophonia. 33,34 Defined as a negative emotion that leads to repulsion and/or behavior avoidance, 35 disgust has come to be understood in the context of three domains: (1) pathogenbased disgust (aversion toward pathogens/contaminants), (2) moral disgust (aversion toward moral offenses), and (3) sexual disgust (aversion toward inappropriate sexual behaviors). 36 While, Peer Review: ORIGINAL RESEARCH generally, disgust has been implicated in both disorders, the domain of disgust may differ. ...
... In terms of misophonia, although disgust sensitivity was found to be associated with emotional reactivity, no relation was found with pathogen-based disgust. 33 The domains of moral or sexual disgust may be associated with misophonia due to the potential association with mental contamination. As such, the domains of disgust may serve as a way to differentiate the two disorders. ...
... The New York Misophonia Scale (NYMS) is composed of two parts-the first assessing emotional distress to misophonic triggers, and the second assessing aggressive and nonaggressive responses to triggers. 33 The first part consists of 25 misophonic triggers (eg, chewing loudly), and participants are asked to indicate how aversive each trigger is using a five-point Likert scale ranging from 0 = doesn't bother me to 4 = disgusting. The second part consists of 13 behavior-based reactions (eg, I cover my ears). ...
Article
Several studies have suggested that misophonia should be categorized as an obsessive-compulsive disorder (OCD) due to similar neural manifestations, such as impairments in limbic structures, and psychological features, such as perfectionism and disgust sensitivity. However, the two disorders may differ in the domains of disgust sensitivity. In OCD, the domain of pathogen disgust has been studied extensively as per the contamination subtype. In misophonia, pathogen disgust has not been reported. We hypothesized that moral disgust may better characterize individuals with misophonia, as studies indicate that people with misophonia view their triggers as morally unacceptable. Furthermore, neuroimaging has shown anterior cingulate cortex (ACC) activation particularly during exposure to misophonic triggers, which is an area associated with moral assessment of stimuli. Another psychological factor that may point to the two disorders being discrete is intolerance of uncertainty (IU), an aversion to undetermined events. IU has been well documented in OCD: It has been found to be positively associated with striatal volume and dysfunction in the ACC—both of which are common findings in OCD. We expected people with misophonia not to exhibit IU since they experience distress in response to specific triggers and, unlike individuals with OCD, do not experience preemptive anxiety. Multivariate logistic regression analysis run on survey-gathered data revealed IU as a significant predictor of OCD symptoms and moral disgust as a significant predictor of misophonia. Consistent with our hypotheses, our findings suggest that IU and moral disgust and the associated neural underpinnings differentiate misophonia from OCD. [ Psychiatr Ann . 2023;53(12):570–580.]
... Subsequent research has consistently found associations between disgust proneness and spider phobia (e.g., Muris et al., 2008), and BII phobia (e.g., , even when controlling for measures of negative affect. Since then, disgust proneness has also been shown to be associated with emetophobia (fear of vomiting; e.g., Verwoerd et al., 2016), and even more recently, misophonia (negative reactions to normal oral or nasal sounds, like slurping or breathing; Barahmand et al., 2023). Indeed, these phobias match the disease avoidance model of disgust, as the feared stimuli (e.g., spiders, blood, vomit, noises denoting the movement of bodily fluids) are plausible sources of disease (e.g., Curtis & Biran, 2001) and contain physical features known to elicit disgust (e.g., slimy, hairy, moist; Stevenson et al., 2019). ...
Article
Anxiety disorders have long been conceptualized as disorders of fear, while other emotions have largely been overlooked. However, an emerging literature has increasingly implicated disgust in certain anxiety-related disorders, including obsessive-compulsive disorder, specific phobias (e.g., spider phobia), health anxiety, and post-traumatic stress disorder. Roughly two decades of research has accumulated evidence identifying various mechanisms linking disgust-related phenomena to these disorders. In the present “State of the Science” review, we sought to summarize the current state of the literature with respect to disgust-related mechanisms in anxiety disorders, including trait-level vulnerabilities (e.g., disgust proneness), cognitive processes (e.g., biases of attention and memory), and associated learning mechanisms (e.g., evaluative conditioning). Research in these areas has revealed important ways in which disgust differs from fear-related phenomena, which have important treatment implications. From there, we sought to summarize research on laboratory interventions that attempt to target and attenuate disgust, as well as the early research on formal cognitive-behavioral treatments that integrate disgust-related interventions for anxiety disorders. Although the past two decades of research have revealed important insights related to the role of disgust in psychopathology, much remains to be learned in this area. We propose some future directions, emphasizing the importance of a guiding framework that highlights studying disgust-related mechanisms across different levels of analysis.
... Attentional control played a significant mediating role in the relationship between misophonia and disgust as well. This result is supported by findings in the study by Barahmand et al. (2021) which showed disgust sensitivity was positively associated with misophonia and its subscales, misophonic distress, and behavioral responses. However, the role of sensory processing in the relationship between misophonia and disgust was not found to be significant. ...
Preprint
Background: The current study investigates how sensory processing and attention management mediate the associations between misophonia and the degree of disability, emotional characteristics, and disgust propensity. Methods: The structural equation modeling approach was applied on the data gathered from 495 students from public colleges through convenience sampling in order to carry out this study. Results: The findings demonstrated that misophonia significantly affects both attention control and sensory processing. It was also discovered that attention control has a mediating role in the relationships between misophonia and disgust propensity as well as in the relationship between misophonia, depression, and anxiety. Keywords : Misophonia, Sensory Processing, Attention Control, Severity of Disability, Emotional Characteristics, and Disgust Propensity
... The NYMS is reported to have a wellestablished factor structure and sound psychometric properties (Barahmand et al., 2023). The NYMS has been reported to possess good internal consistency (Cronbach's α for the full scale =.94, for the misophonic distress subscale =.94, and for the behavioural reactions subscale =.85; Barahmand et al., 2021). In the present study, the reliability for the emotional distress and behaviour reactions subscales and the total scale were found to be .91, ...
Article
Objective The study aimed to identify early maladaptive schemas that may be characteristic of individuals with misophonia. Method A sample of 289 individuals were recruited from social media websites. Participants responded to the Young Schema Questionnaire-Short Form, which assesses early maladaptive schemas (EMS), and the New York Misophonia Scale, a two-part self-report instrument rating the severity of emotional distress to misophonic triggers and the nature of behavioural reactions to misophonic triggers. Gender differences in the study variables were first examined using a series of univariate analysis of variance. To test the relationship between features of misophonia and EMS, correlation coefficients were calculated. Multiple regression analyses were then conducted by including age, gender and YSQ-SF scores as predictors and misophonic distress, aggressive reactions, and non-aggressive reactions as outcomes. Results Results revealed that higher insufficient self-control EMS was a common predictor of all aspects of misophonia, while higher age, female gender and higher social isolation/alienation EMS were predictive of the aversive emotional reactions in misophonia. Higher dependence and unrelenting standards EMS were specific predictors of non-aggressive reactions while dependence and vulnerability to harm or illness EMS were specific predictors of aggressive reactions to misophonic triggers. Conclusions Findings imply that schema therapy may be an effective intervention to alleviate misophonic distress.
Article
Full-text available
Misophonic experiences are common in the general population, and they may shed light on everyday emotional reactions to multi-modal stimuli. We performed an online study of a non-clinical sample to understand the extent to which adults who have misophonic reactions are generally reactive to a range of audio-visual emotion-inducing stimuli. We also hypothesized that musicality might be predictive of one's emotional reactions to these stimuli because music is an activity that involves strong connections between sensory processing and meaningful emotional experiences. Participants completed self-report scales of misophonia and musicality. They also watched videos meant to induce misophonia, autonomous sensory meridian response (ASMR) and musical chills, and were asked to click a button whenever they had any emotional reaction to the video. They also rated the emotional valence and arousal of each video. Reactions to misophonia videos were predicted by reactions to ASMR and chills videos, which could indicate that the frequency with which individuals experience emotional responses varies similarly across both negative and positive emotional contexts. Musicality scores were not correlated with measures of misophonia. These findings could reflect a general phenotype of stronger emotional reactivity to meaningful sensory inputs. This article is part of the theme issue ‘Sensing and feeling: an integrative approach to sensory processing and emotional experience’.
Article
Full-text available
Misophonia involves a decreased tolerance to certain sounds and is associated with a range of emotions and emotion processes. In addition to the distress caused by misophonia, some individuals report having aggressive outbursts and significant impact on doing things they would like to be able to do. This study aimed to examine whether misophonia-specific cognitive and emotional processes were associated with misophonic outbursts and impact, and whether these relationships could be explained in part by emotion processes not specific to misophonia. A sample of 703 individuals, 315 of whom identified with having misophonia, completed measures of misophonia, depression and anxiety symptoms, anxiety and disgust sensitivity, interoception and beliefs about emotions. Exploratory correlation and regression analyses were used to build mediation models, which were tested using multiple linear regression. Externalising appraisals (blaming others for causing one’s reaction to sounds) were positively associated with misophonic outbursts, and this relationship was partially explained by anxiety symptoms and disgust sensitivity. Sense of emotional threat in misophonia predicted functional impact of misophonia, and this was partially explained by depression symptoms and negative beliefs about emotions. Anxiety sensitivity and interoception were not significant independent predictors of misophonic outbursts or functional impact. These results provide support for the relevance of emotion processes in misophonia and highlight the importance of using multi-dimensional measures of misophonia to improve our understanding of the condition.
Preprint
Full-text available
Misophonia involves a decreased tolerance to certain sounds and is associated with a range of emotions and emotion processes. In addition to the distress caused by misophonia, some individuals report having aggressive outbursts and significant impact on doing things they would like to be able to do. This study aimed to examine whether misophonia-specific cognitive and emotional processes were associated with misophonic outbursts and impact, and whether these relationships could be explained in part by non-misophonia specific emotion processes. A sample of 703 individuals, 315 of whom identified with having misophonia, completed measures of misophonia, depression and anxiety symptoms, anxiety and disgust sensitivity, interoception, and beliefs about emotions. Exploratory correlation and regression analyses were used to build mediation models, which were tested using multiple linear regression. Externalising appraisals (blaming others for causing one’s reaction to sounds) was positively associated with misophonic outbursts, and this relationship was partially explained by anxiety symptoms and disgust sensitivity. Sense of emotional threat in misophonia predicted impact of misophonia, and this was partially explained by depression symptoms and negative beliefs about emotions. Anxiety sensitivity and interoception were not significant independent predictors of misophonic outbursts or impact. These results provide support for the relevance of emotion processes in misophonia and highlight the importance of using multi-dimensional measures of misophonia to improve our understanding of the condition.
Article
Full-text available
Objective Analyze a large sample with detailed clinical data of misophonia subjects in order to determine the psychiatric, somatic and psychological nature of the condition. Methods This observational study of 779 subjects with suspected misophonia was conducted from January 2013 to May 2017 at the outpatient-clinic of the Amsterdam University Medical Centers, location AMC, the Netherlands. We examined DSM-IV diagnoses, results of somatic examination (general screening and hearing tests), and 17 psychological questionnaires (e.g., SCL-90-R, WHOQoL). Results The diagnosis of misophonia was confirmed in 575 of 779 referred subjects (74%). In the sample of misophonia subjects (mean age, 34.17 [SD = 12.22] years; 399 women [69%]), 148 (26%) subjects had comorbid traits of obsessive-compulsive personality disorder, 58 (10%) mood disorders, 31 (5%) attention-deficit (hyperactivity) disorder, and 14 (3%) autism spectrum conditions. Two percent reported tinnitus and 1% hyperacusis. In a random subgroup of 109 subjects we performed audiometry, and found unilateral hearing loss in 3 of them (3%). Clinical neurological examination and additional blood test showed no abnormalities. Psychological tests revealed perfectionism (97% CPQ>25) and neuroticism (stanine 7 NEO-PI-R). Quality of life was heavily impaired and associated with misophonia severity (rs (184) = -.34 p = < .001, p = < .001). Limitations This was a single site study, leading to possible selection–and confirmation bias, since AMC-criteria were used. Conclusions This study with 575 subjects is the largest misophonia sample ever described. Based on these results we propose a set of revised criteria useful to diagnose misophonia as a psychiatric disorder.
Article
Full-text available
Two emotion regulation strategies—cognitive reappraisal and acceptance—are both associated with beneficial psychological health outcomes over time. However, it remains unclear whether these 2 strategies are associated with differential consequences for emotion, physiology, or perceived cognitive costs in the short-term. The present study used a within-subjects design to examine the effects of reappraisal (reframing one’s thoughts) and acceptance (accepting feelings without trying to control or judge them) on the subjective experience of negative emotions, positive emotions, and physiological responses during and following recovery from sad film clips shown in the laboratory. Participants also reported on perceived regulatory effort, difficulty, and success after deploying each emotion regulation strategy. In 2 samples of participants (N = 142), reappraisal (vs. acceptance) was associated with larger decreases in negative and larger increases in positive emotions, both during the film clips and recovery period. However, acceptance was perceived as less difficult to deploy than reappraisal, and was associated with a smaller dampening of skin conductance level (indicating more successful regulation) during the film clips in 1 sample. These results suggest that reappraisal and acceptance may exert differential short-term effects: Whereas reappraisal is more effective for changing subjective experiences in the short term, acceptance may be less difficult to deploy and be more effective at changing one’s physiological response. Thus, these 2 strategies may both be considered “effective” for different reasons.
Article
Misophonia is a condition in which certain sounds and behaviors elicit distress that ranges from mild annoyance to disgust or anger. The aim of this research was to develop and validate an instrument to screen for misophonia in the general population. Study 1 developed and explored the factor structure and item quality of the New York Misophonia Scale (NYMS), which originally included 42 triggers and 13 behavioral reactions. A sample of 441 American adults responded to the instrument via social media platforms. Of the original 42 triggers, 25 clustered into 4 factors: repetitive actions, mouth sounds, ambient object sounds, and ambient people sounds. The 13 behavioral reactions loaded on to 2 factors, aggressive and nonaggressive reactions. Study 2 evaluated the psychometric properties of the final version of the NYMS using a sample of 200 American adults. The results supported the validity of the factor structure and the reliability of the final version of the NYMS from Study 1. Finally, Study 3 explored the concurrent and convergent validity of the final version of the NYMS with the Misophonia Questionnaire (MQ) and the Difficulties in Emotion Regulation Scale-Short Form (DERS-SF). A sample of 171 adult participants completed all of the scales. Good concurrent validity was found with the MQ and good convergent validity was found with the DERS-SF. Overall, the NYMS appears to be a useful and promising instrument for assessing misophonia triggers, severity of distress elicited, and behavioral reactions to the distress in the general population.
Book
This title proposes an insightful and original approach to understanding these disorders, one that focuses on what they have in common. Instead of examining in isolation, for example, obsessive compulsive disorders, insomnia, schizophrenia, it asks - what do patients with these disorders have in common? It takes each cognitive and behavioural process - attention, memory, reasoning, thought, behaviour, and examines whether it is a transdiagnostic process - i.e., serves to maintain a broad range of psychological disorders. Having shown how these disorders share several important processes, it then describes the practical implications of such an approach to diagnosis and treatment. Importantly it explores why the different psychological disorders can present so differently, despite being maintained by the same cognitive and behavioural processes. It also provides an account of the high rates of comorbidity observed among the different disorders.
Article
This study has two main objectives: (1) to examine the relationships among trait anger, emotion regulation strategies (internal-functional, internal-dysfunctional, external-functional, and external-dysfunctional), and loneliness in early adolescents; (2) explore whether emotion regulation strategies moderate the relationship between trait anger and loneliness. The participants were 475 secondary school students (241 female, 234 male) from an age range of 10–14. The findings revealed significant relationships among trait anger, emotion regulation strategies, and loneliness. Trait anger and loneliness were found to be moderately correlated with each other. More importantly, emotion regulation strategies moderated the relationship between trait anger and loneliness. The degree to which trait anger was related to loneliness was found to be dependent on emotion regulation strategies. Specifically, the relationship between trait anger and loneliness appeared to increase if early adolescents utilized low levels of internal- and external-functional strategies, and high levels of internal- and external-dysfunctional strategies. We discuss the theoretical and practical implications of these findings.
Article
In the literature related to personality and emotion regulation (ER) there are a series of experiments which assess the affective consequences from the perspective of the processual model of emotion regulation (Gross, 1998a). The present research continues Dunn's et al., (2009) suggestion to analyse the affective consequences of emotion regulation mechanisms according to the most relevant personality dimensions for the emotion regulation process (extraversion and emotional stability). In the present studies we have induced two different emotions (anger and sadness), by using movie sequences and we manipulated, under laboratory controlled conditions, ER strategies to detect their effects on the emotional experience. 219 subjects were statistically selected for two experimental groups according to two personality variables (extraversion and emotional stability) and one control group. The subjects included in the statistical analysis had an average age of 22.07 years (M = 22.07, SD = 6.14). We have found evidence that reappraisal is an adaptive strategy, both in comparison with the control group and those who have used suppression. People with high emotional stability experience the negative emotions and the emotional distress in anger and sadness at a lower level compared to those with low emotional stability.
Article
Background and objectives Disgust has been associated with mental contamination (MC), although the evidence has hitherto been nonexperimental. Furthermore, strategies that can target both disgust and MC have not been well explored. We investigated the role of disgust in MC by inducing disgust via olfaction within the “dirty kiss” paradigm and conversely, to see if pairing pleasant olfactory stimulus during re-exposure, based on counterconditioning, can reduce MC. We also examined whether disgust constructs (propensity and sensitivity) and trait MC are associated with state MC arising from the “dirty kiss”. Methods MC was first evoked using the “dirty kiss” paradigm, in which participants (N = 90) visualized receiving a non-consensual kiss from a physically dirty man (time 1). After a break, participants repeated the “dirty kiss” task in a room that was scented to smell either disgusting, pleasant or neutral (time 2). Participants completed measures of disgust and trait MC after the experiment. Results Participants in the disgust condition reported increased feelings of dirtiness at time 2. Disgust propensity predicted feelings of dirtiness at time 1. Disgust sensitivity and trait MC were not associated with state MC indices. Limitations The use of a non-clinical female sample, extraneous factors during the break and contextual factors arising from room change at time 2 are some potential limitations. Conclusions Induced disgust within a MC paradigm resulted in increased feelings of dirtiness, suggestive of disgust-based emotional reasoning. Pairing pleasant olfactory stimulus was not effective at attenuating MC or disgust.
Article
Affective styles appear to be relevant to the development of psychopathology, especially anxiety disorders. The aim of the current study was to investigate changes in affective styles in patients with panic disorder and specific phobia, as a result of undergoing cognitive behavior therapy (CBT), and to identify a possible link between certain affective styles and remission. The sample consisted of outpatients (N = 101) suffering from panic disorder, specific phobia, or agoraphobia who completed the Affective Style Questionnaire (ASQ) before and after therapy, as well as at a 6-month follow-up assessment. Multivariate analyses of variance were conducted to test for changes due to therapy. Logistic regression analyses were calculated to test for the impact of affective styles on remission from anxiety disorders, and hierarchical regression analyses were calculated to examine the association between changes in affective styles and symptom reduction. Results indicated significant increases on the ASQ subscales adjusting and tolerating after therapy. Concealing did not decrease significantly after therapy. In addition, higher scores on adjusting significantly predicted remission from anxiety disorders. Finally, we found a significant association between increases on the adjusting scale and the reduction of anxiety symptoms.
Article
Background: Emotion regulation plays a critical role in the development and maintenance of psychological disorders. Less is known about the association of affective styles and psychopathology. The 20-item "Affective Style Questionnaire" (ASQ) has been validated in nonclinical samples. The American and German validation studies resulted in a three-factor structure (concealing, adjusting, and tolerating). The present study aimed to investigate three aspects: (1) the validation of the ASQ within a clinical sample, (2) the examination of possible differences in affective styles between patients suffering from affective versus anxiety disorders, and (3) the association of affective styles and anxiety, depression, and stress symptoms. Methods: Overall 917 patients receiving cognitive-behavioral therapy at an outpatient clinic participated in this study, 550 participants were female. All data were collected before the beginning of treatment. Results: Confirmatory factor analyses revealed the same three-factor structure found in the previous Western samples (CFI = 0.90, RMSEA = 0.06): Concealing (α = 0.81), adjusting (α = 0.71), and tolerating (α = 0.70). Significantly lower scores in the ASQ subscale adjusting were found in patients suffering from affective disorders than patients suffering from anxiety disorders. The results of the regression analyses showed that the ASQ adjusting and concealing behavior seem to play a more important role than the ERQ reappraisal and suppression for depression, anxiety, and stress among clinical populations. Limitations: A number of limitations must be taken into consideration while evaluating the present study. First and foremost, the clinical data were based on primary diagnoses. We did not ascertain comorbid diagnoses. This distinction may be important, since affective and anxiety disorders are often linked to each other. In addition, we only used data collected before the beginning of psychotherapeutic treatment and were therefore not able to analyze changes in affective styles during and after intervention. Furthermore, all data were based on self-reported information of patients. We did not implement either a therapeutic rating of affective styles or physiological measures, for instance arousal, which could have shown whether the used strategies successfully reduce negative emotions. Future research should address this question. Another limitation is the fact that we concentrated on the main categories of mental disorders and, therefore, did not subdivide patients with affective and anxiety disorders in terms of their concrete diagnoses. This is of special importance, because there might also be differences in affective styles within the main categories.
Chapter
The role of disgust in moral psychology has been a matter of much controversy and experimentation over the past 20 or so years. We present here an integrative look at the literature, organized according to the four functions of emotion proposed by integrative functional theory: appraisal, associative, self-regulation, and communicative. Regarding appraisals, we review experimental, personality, and neuroscientific work that has shown differences between elicitors of disgust and anger in moral contexts, with disgust responding more to bodily moral violations such as incest, and anger responding more to sociomoral violations such as theft. We also present new evidence for interpreting the phenomenon of sociomoral disgust as an appraisal of bad character in a person. The associative nature of disgust is shown by evidence for "unreasoning disgust," in which associations to bodily moral violations are not accompanied by elaborated reasons, and not modified by appraisals such as harm or intent. We also critically examine the literature about the ability of incidental disgust to intensify moral judgments associatively. For disgust's self-regulation function, we consider the possibility that disgust serves as an existential defense, regulating avoidance of thoughts that might threaten our basic self-image as living humans. Finally, we discuss new evidence from our lab that moral disgust serves a communicative function, implying that expressions of disgust serve to signal one's own moral intentions even when a different emotion is felt internally on the basis of appraisal. Within the scope of the literature, there is evidence that all four functions of integrative functional theory of emotion may be operating, and that their variety can help explain some of the paradoxes of disgust.