Somatic Symptom Disorders
Disgust predicts prejudice and discrimination toward individuals with obesity Lenny R. Vartanian1, Tara Trewartha1, Eric J. Vanman2
1School of Psychology, UNSW Australia 2School of Psychology, The University of Queensland
Correspondence concerning this article should
be addressed to Lenny R. Vartanian, School
of Psychology, UNSW Australia, Sydney,
NSW 2052, Australia.
E-mail: [email protected]
doi: 10.1111/jasp.12370
Abstract
This study examined the relevance of disgust to evaluations of an obese target per-
son, and the connection between disgust and prejudice toward that person. Partici-
pants (n 5 598) viewed an image of an obese or non-obese woman, and then
evaluated that woman on a number of dimensions (emotions, attitudes, stereotypes,
desire for social distance). Compared with the non-obese target, the obese target eli-
cited more disgust, more negative attitudes and stereotypes, and a greater desire for
social distance. Furthermore, disgust mediated the effect of the target’s body size on
all of the outcome variables (attitudes, stereotypes, social distance). Disgust plays an
important role in prejudice and discrimination toward individuals with obesity, and
might in part explain the pervasiveness of weight bias.
Weight bias is pervasive in Western cultures, and increasingly in
non-Western cultures as well (Brewis, Wutich, Fallette-Cowden,
& Rodriguez-Soto, 2011). One of the primary challenges faced
by researchers in the area is that efforts to reduce weight bias
have generally been ineffective (Danielsdottir, O’Brien, & Ciao,
2010). Most of these previous bias-reduction efforts have focused
on changing people’s cognitive beliefs about obesity (e.g., the
belief that body weight and obesity are under personal control),
but there has been a recent shift toward examining the emotions
underpinning prejudice toward individuals with obesity. Inter-
group emotions have featured prominently in the study of preju-
dice toward various social groups (Iyer & Leach, 2008), and
focusing on intergroup emotions might provide an avenue for
understanding the pervasiveness of weight bias.
The intergroup emotions most relevant in the current con-
text are the “moral emotions”; namely disgust, contempt, and
anger (Hutcherson & Gross, 2011; Rozin, Lowery, Imada, &
Haidt, 1999). Disgust is elicited when individuals cause impu-
rity or degradation to the self/others (Rozin et al., 1999) or
when individuals engage in what are perceived as intentional
immoral behaviors (Hutcherson & Gross, 2011); contempt is
elicited when people violate their duties or responsibilities
within the community or social hierarchy (Rozin et al., 1999)
or are perceived as incompetent (Hutcherson & Gross, 2011);
and anger is typically elicited when individuals harm others
or infringe on the freedom of others (Rozin et al., 1999),
particularly when the transgression is appraised as self-
relevant (Hutcherson & Gross, 2011). Cottrell and Neuberg
(2005) suggested that the specific emotion elicited by a group
depends on the threat posed by that group. Because obese
people are not generally seen as threatening to others or as
infringing on the freedom of others, disgust (and perhaps
contempt) responses might be more relevant than anger
responses in prejudice toward obese people.
Disgust has received the most attention in the weight-bias
literature thus far. For example, Park, Schaller, and Crandall
(2007) found that obesity is implicitly associated with
disease-related concepts. Furthermore, a series of studies by
Vartanian (2010a) showed that disgust toward individuals
with obesity was associated with more negative attitudes
toward those individuals, and that disgust mediated the asso-
ciation between beliefs about the controllability of body
weight and attitudes toward individuals with obesity.
Comparing the role of different emotions in weight bias,
Vartanian, Thomas, and Vanman (2013) found that disgust
predicted negative obesity stereotypes, but that contempt
and anger did not, thus suggesting a unique role for disgust.
Other researchers have examined the different types of dis-
gust, referred to as “functional domains” of disgust, which
include sexual disgust, moral disgust, and pathogen disgust
(Tybur, Lieberman, & Girskevicius, 2009). For example,
Lieberman, Tybur, and Latner (2012) found significant levels
of self-reported disgust toward individuals with obesity in
each domain, but also found that sexual disgust (i.e., how
VC 2015 Wiley Periodicals, Inc Journal of Applied Social Psychology 2016, 46, pp. 369–375
Journal of Applied Social Psychology 2016, 46, pp. 369–375
disgusting it would be to have sex with an obese person) was
significantly higher than the other two domains. Overall,
there is consistent evidence that disgust is related to evalua-
tions of individuals with obesity.
Although the studies described above provide initial
insights into the connection between disgust and obesity,
those studies involved evaluations of obese people at a group
level or as an abstract category, rather than focusing on evalu-
ations of a specific individual. It is possible that people’s men-
tal representation of “obese people” is more extreme than the
average person they might encounter in daily life who hap-
pens to be obese (Vartanian, 2010b), which might exaggerate
the observed associations. Thus, it is unclear whether the
same emotional processes will be involved when evaluating a
specific target person whose weight status or group member-
ship is not explicitly labeled. Furthermore, prejudice is often
experienced at an individual level (e.g., in the form of job dis-
crimination; Rudolph, Wells, Weller, & Baltes, 2009). There-
fore, it is important to determine whether intergroup
emotions (in particular, disgust) are related to prejudice
toward a specific target person.
An important component of the individual experience of
weight-based discrimination is being avoided or excluded by
others. For example, in a study of individuals in a residential
weight-loss facility, 56% reported that they had been avoided,
excluded, or ignored because of their weight (Friedman et al.,
2005). Similarly, in another study of weight stigma among
adult members of a weight-loss support group, 48%–54%
reported being avoided, excluded or ignored (Puhl & Brow-
nell, 2006). Although there is evidence that individuals with
obesity often feel excluded by others, few studies examining
prejudice toward individuals with obesity have measure
avoidance of those individuals as an outcome. One study did
find that implicit anti-fat attitudes predicted how far partici-
pants chose to sit from an obese person (Bessenoff & Sher-
man, 2000). Another study showed that participants who
viewed stereotypical portrayals of individuals with obesity
expressed more desire for social distance than did partici-
pants who viewed non-stereotypical portrayals (Pearl, Puhl,
& Brownell, 2012). However, there have been no studies
examining the role of intergroup emotions in a desire for
social distance from individuals with obesity. Because disgust
is generally considered to be an avoidance emotion (Oaten,
Stevenson, & Case, 2009), it seems likely that disgust would
be related to a desire for social distance from individuals
with obesity. Thus, examining the association between inter-
group emotions and social distance will enhance our under-
standing of the processes involved in weight bias.
This study extends previous research in two primary ways:
(1) We examined the relevance of intergroup emotions to
evaluations of a specific target person rather than evaluations
of an abstract group; and (2) we examined whether inter-
group emotions could explain desire for social distance from
the target person, as well as attitudes and stereotypes toward
that person. Participants were shown either an obese target
person or a non-obese target person and were asked to evalu-
ate that person on a number of dimensions. We predicted
that: participants would rate the obese target more negatively
than they would rate the non-obese target; disgust would be
a better predictor of evaluations of the target than would
contempt or anger; and disgust would mediate the effect of
the target’s weight on evaluations of that target.
Method
Participants
Participants were 606 individuals based in the United States who
were recruited through Amazon’s Mechanical Turk. Mechanical
Turk has been shown to produce data comparable in quality and
reliability to traditional methods (Buhrmester, Kwang, & Gos-
ling, 2011; Vartanian et al., 2013). Eight participants were
excluded from the study because they failed at least one of the
validity checks (questions directing participants to select a partic-
ular response option). The final sample consisted of 598 partici-
pants (337 males, 261 females). Their mean age was 35.88 years
(SD 5 11.66), and their mean Body Mass Index (BMI) based on
self-reported height and weight was 26.39 (SD 5 6.14). The
majority of the sample was Caucasian (80.6%), 6.5% were
African-American, 6.5% were Asian, 5.4% were Hispanic, 0.3%
were American Indian, and 0.7% identified as “other.” This
study was approved by the university’s human ethics committee.
Materials and procedure
The study was advertised on Amazon’s Mechanical Turk as a
study on “person perception,” and participants completed the
study online. Participants were randomly assigned to view a
photograph depicting a female target person as obese or as
healthy weight, along with some additional background infor-
mation about the target and her daily activities (e.g., age 35,
owns a pet, enjoys shopping). The images were taken from an
individual’s personal webpage showing images of herself
before and after she had lost weight. Using images of the
same person, we can vary the target’s weight while keeping
constant other personal features (such as attractiveness) that
could influence evaluations of the target. The individual is in
the same pose in both photographs, with the same hairstyle
and facial expression, and both photographs are taken against
a neutral monochromatic background. After viewing their
assigned image and reading the information, participants
were asked to rate the target on the following measures:
Intergroup emotions
Participants indicated the extent to which they felt disgust,
contempt, and anger toward the target individual. Each
370 Disgust, prejudice, and discrimination
VC 2015 Wiley Periodicals, Inc Journal of Applied Social Psychology, 2016, 46, pp. 369–375
emotion was measured as a discrete item using a visual ana-
logue scale (anchored by 0 5 Not at all, 100 5 Extremely).
The initial marker position was set at “0” for all of the visual
analogue scales in this study. 1
We also included some addi-
tional emotions (fear, sadness, happiness, pity, and sympathy)
as filler items to mask our interest in disgust, contempt, and
anger, but these emotions were not included in the analyses.
Attitude
Participants provided an overall rating of their attitude
toward the target (“How favorable is your attitude toward
[the target person]?”) using a 7-point scale (1 5 Extremely
unfavorable, 7 5 Extremely favorable).
Stereotypes
Participants rated the target individual on a series of common
obesity stereotypes, including: lazy, sloppy, self-disciplined
(reverse-scored), motivated (reverse scored), over-indulgent,
and having poor personal hygiene. Responses to these six
items were averaged to compute a Negative Obesity Stereo-
types (NOS) composite score (a 5 .84). Participants also pro- vided judgments of the target individual on a more general
stereotype dimension relating to perceived competence (i.e.,
competent, efficient, successful, and intelligent; a 5 .91). For each stereotype item, participants used a visual analogue scale
(anchored by 0 5 Not at all, 100 5 Extremely) to rate the
extent to which they believed the characteristics applied to the
target. We also included additional character traits (likeable,
shy, popular, unhappy, irritable, and aggressive) as filler items
to mask our focus on common obesity stereotypes, but these
traits were not included in the analyses.
Social distance
Participants completed a version of the Social Distance Scale
(SDS; Link, Cullen, Frank, & Wozniak, 1987), which was used
as an index of willingness to approach or avoid the target
individual. Participants were asked to indicate their willing-
ness to engage in seven situations involving the target individ-
ual (e.g., “Working on the same project as. . .”) on a 4-point
scale (1 5 Definitely unwilling, 4 5 Definitely willing). A social
distance index was created by averaging responses to these
items (a 5 .89). For ease of interpretation, scale scores were
reverse-coded so that higher values represent a stronger desire
for social distance.
In addition to the SDS, participants also completed an online
version of the Seating Distance Task (Macrae, Bodenhausen,
Milne, & Jetten, 1994) as a measure of avoidance. In the tra-
ditional version of this task, participants are led to a room
where they believe the other participant has already selected
a seat, and the measure of social distance is how far partici-
pants choose to sit from the other participant. Recently,
researchers have sought to identify more efficient ways of
capturing a desire for physical distance. For example, one
recent study had participants draw where they would sit rel-
ative to a target person and measured the distance between
the two drawn images (McIntyre, Barlow, & Hayward,
2015). In this study, participants were shown an image of a
table and seven seats with the target individual’s seat
marked, and they were asked to indicate which seat they
would choose for themselves. There were two versions of
this task: one version showed a row of seven seats on one
side of a rectangular table with the target sitting in the cen-
ter seat; the second version showed a round table with the
target sitting in the seat at the bottom of the image. The
seats that participants could choose for themselves were
coded as follows: one seat removed from the target to the
left or to the right was coded as “1”; two seats removed
from the target to the left or to the right was coded as “2”;
and three seats removed from the target to the left or to the
right was coded as “3.” There were no interactions between
version of the seating distance task and target weight status
for any of the analyses reported below, and the two versions
were therefore combined for all analyses. Responses on the
seating distance task were significantly correlated with
scores on the SDS (r 5 .40, p < .001), supporting the valid-
ity of the measure.
Data analysis
Data for disgust, anger, and contempt were positively skewed.
Transforming these variables using the base 10 logarithm
function did effectively normalize the distribution (skew
ranged from 1.24 to 1.66), but the transformation had no
impact on the pattern of results. Therefore, all analyses are
reported using the untransformed variables. Multivariate
Analysis of Variance (MANOVA) was used to compare the
obese target and non-obese targets on the dependent varia-
bles. The multivariate analysis was followed up with a univar-
iate analysis for each dependent variable. We then conducted
a series of multiple regression analyses to determine whether
disgust, contempt, and anger differentially predicted each of
the outcome variables (attitudes, negative obesity stereotypes,
competence, SDS scores, and seating distance). Although dis-
gust, contempt, and anger were significantly correlated with
one another (disgust-contempt r 5 .41, p < .001; disgust-
1 To test whether the start position influenced participants’ emotion ratings,
we conducted a follow-up study in which participants were exposed to the
information about the obese target person and then rated that target on each
of the emotion terms. The start position for the marker on the visual analogue
scale was randomly set to 0, 50, or 100. There was no significant effect of
starter position, F (2, 168) 5 1.51, p 5 .22, and there were no significant con-
trasts between any of the starter positions (ps > .10). Thus, setting the marker
to the 0 point is unlikely to have influenced the results of this study.
Vartanian et al. 371
VC 2015 Wiley Periodicals, Inc Journal of Applied Social Psychology, 2016, 46, pp. 369–375
anger r 5 .70, p < .001; contempt-anger r 5 .49, p < .001),
multicollinearity does not appear to be a problem in this
study (rs < .80; tolerances > .40; VIFs < 2.5). Next, we used
mediation analysis (using the PROCESS macro; Hayes, 2013)
to determine whether intergroup emotions mediated the
effect of target weight status on the outcome variables. This
approach uses bootstrapping, which involves repeatedly sam-
pling from the data set (in this case, 5,000 bootstrap resam-
ples) to create an approximation of the sampling distribution
of the indirect effect and to generate confidence intervals for
these effects. Finally, because there were no interactions
involving participant age, sex, or BMI for any of the analyses,
and because controlling for age, sex, and BMI did not affect
any of the outcomes, these factors were not included in the
analyses reported below. 2
Results
Table 1 shows the mean ratings of the obese target and non-
obese target on each of the dependent variables. There was
an overall effect of target weight status on the combination
of dependent variables, F(8, 588) 5 16.25, p < .001, g2p 5 .18. Univariate analyses indicated that participants expressed
more disgust toward the obese target than toward the non-
obese target, but not more anger or contempt. Participants
also reported more negative attitudes toward the obese target,
rated the obese target higher on the measure of negative obe-
sity stereotypes, and rated the obese target as less competent
than they did the non-obese target. Finally, participants indi-
cated a greater desire for social distance from the obese target
than from the non-obese target on both the SDS and on the
seating-distance task.
We next examined disgust, contempt, and anger as predic-
tors of prejudice toward the target individuals. The overall
regression model was significant for attitudes toward the tar-
get, F(3, 593) 5 47.66, p < .001, adj-R2 5 .19; for NOS, F(3,
593) 5 62.79, p < .001, adj-R2 5 .24; for competence, F(3,
593) 5 14.41, p < .001, adj-R 2 5 .06; for SDS scores, F(3,
593) 5 32.11, p < .001, adj-R 2 5 .14; and for seating distance,
F(3, 593) 5 14.82, p < .001, adj-R2 5 .07. In each case, disgust
was a significant predictor of the outcome variable,
but contempt and anger were not significant predictors (see
Table 2). The only exception to that pattern was that con-
tempt was a significant negative predictor of NOS, with
the coefficient suggesting that the more contempt people
felt toward the target, the less they attributed negative obe-
sity stereotypes to her. Note, however, that this finding is
contrary to the small positive bivariate correlation
observed between contempt and negative obesity stereo-
types (r 5 .11, p 5 .01), suggesting a suppression effect in
the regression analysis.
Finally, because only disgust was associated with the out-
come variables, only disgust was included as a mediator in
the mediation analyses. Those analyses showed that there
was a significant indirect effect of the target’s body weight
on each of the outcome variables through disgust: attitudes
toward the target (point estimate 5 20.19, SE 5 0.04, 95%
CI 5 20.28, 20.11); NOS (point estimate 5 3.15, SE 5 0.65,
95% CI 5 2.01, 4.55); competence (point estimate 5 21.96,
SE 5 0.52, 95% CI 5 23.15, 21.09); SDS (point
estimate 5 0.08, SE 5 0.02, 95% CI 5 0.05, 0.12); and
Table 1 Means (SD) for Each of the Dependent Variables
Obese target
(n 5 298)
Non-obese
target
(n 5 299)
Cohen’s
d
p
Intergroup emotions
Disgust 8.11 (16.63) 2.48 (8.22) 0.43 < .001
Contempt 9.68 (18.61) 8.38 (21.24) 0.07 .43
Anger 3.76 (9.00) 2.63 (7.97) 0.13 .11
Attitude
How favorable. . .? 5.04 (1.16) 5.52 (0.94) 0.46 < .001
Stereotypes
Negative obesity
stereotypes 37.33 (19.21) 22.89 (13.75) 0.86 < .001
Competence 55.19 (20.39) 60.98 (20.30) 0.28 .001
Social distance
Social Distance Scale 1.88 (0.58) 1.77 (0.48) 0.20 .01
Seating distance task 1.61 (0.72) 1.38 (0.62) 0.34 < .001
Table 2 Regression Coefficients Predicting Attitudes, Stereotypes, and
Social Distance from Intergroup Emotions
b t p
Attitude
Disgust 2.47 9.16 < .001
Contempt .05 1.06 .29
Anger .02 0.45 .66
Negative obesity stereotypes
Disgust .58 11.49 < .001
Contempt 2.08 2.03 .04
Anger 2.09 1.77 .08
Competence
Disgust 2.30 5.48 < .001
Contempt .08 1.71 .09
Anger .04 0.64 .52
Social distance
Disgust .33 6.11 < .001
Contempt 2.02 0.42 .67
Anger .08 1.34 .18
Seating distance
Disgust .20 3.68 < .001
Contempt .02 0.37 .71
Anger .07 1.17 .24
2 The literature on weight bias consistently finds that even individuals who are
overweight or obese hold negative attitudes toward obese people (e.g.,
Schwartz, Vartanian, Nosek, & Brownell, 2006; Wang, Brownell, & Wadden,
2004), suggesting a lack of in-group favoritism among individuals with
obesity.
372 Disgust, prejudice, and discrimination
VC 2015 Wiley Periodicals, Inc Journal of Applied Social Psychology, 2016, 46, pp. 369–375
seating distance (point estimate 5 0.07, SE 5 0.02, 95%
CI 5 0.04, 0.10).
Discussion
This study extended previous research by demonstrating that
intergroup emotions play an important role in evaluations of
a specific individual with obesity, in addition to the general
role they play in evaluations of obese people as a group
(Vartanian, 2010a; Vartanian et al., 2013). Specifically, the
obese target elicited more disgust than did the non-obese
target, which in turn was associated with more negative atti-
tudes, more negative stereotyping, and a greater desire for
social distance from the target. These findings are important
because they contribute to our understanding of the potential
role of disgust in interpersonal interactions and, specifically,
in instances of weight-based stigmatization.
Our findings also provide further support for the notion
disgust, in particular, is an important component of weight
bias (Vartanian et al., 2013): neither contempt nor anger
were differentially associated with the target based on her
weight, and those emotions also did not predict any of the
outcome variables. These findings fit with general conceptu-
alizations of moral emotions (Hutcherson & Gross, 2011;
Rozin et al., 1999). Obesity might be seen as an impurity or
degradation of the self, and the behaviors presumed to make
a person obese (e.g., overindulgence, laziness) may be seen
an immoral behaviors, thus giving rise to a disgust response
toward individuals who are obese. In contrast, individuals
with obesity are not typically viewed as threatening or as
infringing on one’s personal rights and freedoms, and there-
fore should not elicit anger. Furthermore, although obesity
might be viewed as violating social standards in some
respects, this might not amount to the type of violation of
responsibilities to the community that would elicit contempt.
An important contribution of the present research is that we
examined the relevance of disgust to a desire for social distance
from the target person. With both measures (the SDS and the
seating distance task), we found that disgust mediated the effect
of target’s weight on the desire for social distance. These find-
ings suggest that, in addition to playing a role in negative atti-
tudes and stereotypes toward individuals with obesity, disgust
might also lead to avoidance or exclusion of individuals with
obesity in social contexts. People with obesity often report
being excluded or ignored (Friedman et al., 2005), and disgust
(as an avoidance emotion) might in part be responsible for
that exclusion. Given the known deleterious effects of social
exclusion (MacDonald & Leary, 2005; Williams, 2007), it is
important for future research to consider this component
when studying weight bias. Note that the measures of avoid-
ance and distance we used in this study did not assess actual
behavior toward an individual with obesity, but rather relied
on self-reports of what people would do, and thus replication
of these results in an interpersonal context would be important.
Future research could also determine whether disgust is related
to other forms of discrimination against individuals with obe-
sity (e.g., hiring decisions, punishment).
This study was conducted with an online community sam-
ple which allowed for a greater range of age and BMI than is
typical in a student sample, increasing the generalizability of
our findings. Note, as well, that previous studies have found
similar results between student samples and online commu-
nity samples (Fardouly & Vartanian, 2012; Vartanian & Far-
douly, 2014; Vartanian et al., 2013), suggesting that these
findings regarding weight bias are robust. One limitation of
this study, however, is that our measures of emotions were
based on self-reports. Although a substantial amount of past
research has used self-reported emotions when studying both
prejudice and basic emotional processes (Tapias, Glaser, Kelt-
ner, Vasquez, & Wickens, 2007), future studies using other
indices of emotion, such as physiological measures, would be
beneficial to our understanding of the emotional reactions to
obesity. It should also be noted that the overall level of
reported disgust, even toward the obese target, was quite low,
and the regression models showed that intergroup emotions
accounted for 6%–24% of the variance in outcomes. Thus,
although disgust does differentiate obese from non-obese tar-
gets, and is a significant predictor of prejudice toward individ-
uals with obesity, there are likely additional factors involved
in weight bias that need to be considered if we hope to
develop effective interventions. A final methodological point
is that this study only included female targets. Although some
past work suggests that bias is similar for male and female tar-
gets (Vartanian & Fardouly, 2014), it might be that the emo-
tional responses are different to men and to women.
Intergroup emotions, and in particular disgust, have been
shown to play an important role in prejudice toward obese
people as a group (Vartanian, 2010a; Vartanian et al., 2013),
and we extended those findings by showing that disgust
toward a specific target person also influences prejudice and
discrimination toward that person. The role of disgust in
prejudice toward individuals with obesity people might be
one explanation for the failure of previous bias-reduction
efforts to reduce weight bias: that is, modifying people’s cog-
nitive beliefs are unlikely to change their emotional experien-
ces. This then raises a new challenge for researchers: How do
we change people’s emotional reactions to individuals with
obesity? One approach that might be effective is to increase
positive intergroup contact. There is some evidence that pro-
fessional contact (e.g., as a clinician), and also positive perso-
nal experiences, with individuals with obesity is associated
with less weight bias (Schwartz, Chambliss, Brownell, Blair,
& Billington, 2003). Similarly, research shows that positive
portrayals of obesity in the media are associated with less
weight bias (Pearl et al., 2012). It is possible this positive
exposure decreases disgust responses to obesity, thereby
Vartanian et al. 373
VC 2015 Wiley Periodicals, Inc Journal of Applied Social Psychology, 2016, 46, pp. 369–375
reducing prejudice (cf. Curtis, 2011). Another mechanism
through which intergroup contact can reduce prejudice is by
capitalizing on building positive emotions, such as empathy.
Increased empathy is one of the mechanisms through which
intergroup contact reduces prejudice (Pettigrew & Tropp,
2008). In the context of obesity, there is some evidence that
understanding what it is like to be obese or learning about an
individual’s experience with weight-based social rejection
results in less negative evaluations of individuals with obesity
(Schwartz et al., 2003; Teachman, Gapinski, Brownell, Raw-
lins, & Jeyaram, 2003). Reducing negative emotions and
increasing positive emotions toward individuals with obesity
could be a promising means of reducing weight-based preju-
dice and discrimination.
Acknowledgment This research was supported under Australian Research
Council’s Discovery Projects funding scheme (project num-
ber DP130100759).
References
Bessenoff, G. R., & Sherman, J. W. (2000).
Automatic and controlled components
of prejudice toward fat people: Evalua-
tion versus stereotype activation. Social
Cognition, 18, 329–353.
Brewis, A. A., Wutich, A., Fallette-Cowden,
A., & Rodriguez-Soto, I. (2011). Body
norms and fat stigma in global perspec-
tive. Current Anthropology, 52, 269–276.
Buhrmester, M., Kwang, T., & Gosling, S.
D. (2011). Amazon’s Mechanical Turk: A
new source of inexpensive, yet high-
quality, data? Perspectives on Psychological
Science, 6, 3–5.
Cottrell, C. A., & Neuberg, S. L. (2005). Dif-
ferent emotional reactions to different
groups: A sociofunctional threat-based
approach to “prejudice”. Journal of Person-
ality and Social Psychology, 88, 770–789.
Curtis, V. (2011). Why disgust matters.
Philosophical Transactions of the Royal
Society B, 366, 3478–3490.
Danielsdottir, S., O’Brien, K. S., & Ciao, A.
(2010). Anti-fat prejudice reduction: A
review of published studies. Obesity
Facts, 3, 47–58.
Fardouly, J., & Vartanian, L. R. (2012).
Changes in weight bias following weight
loss: The impact of weight-loss method.
International Journal of Obesity, 36,
314–319.
Friedman, K. E., Reichmann, S. K.,
Costanzo, P. R., Zelli, A., Ashmore, J. A.,
& Musante, G. J. (2005). Weight stigma-
tization and ideological beliefs: Relation
to psychological functioning in obese
adults. Obesity Research, 13, 907–916.
Hayes, A. F. (2013). Introduction to media-
tion, moderation, and conditional process
analysis: A regression-based approach.
New York, NY: Guilford Press.
Hutcherson, C. A., & Gross, J. J. (2011).
The moral emotions: A social-
functionalist account of anger, disgust,
and contempt. Journal of Personality and
Social Psychology, 100, 719–737.
Iyer, A., & Leach, C. W. (2008). Emotion in
inter-group relations. European Review of
Social Psychology, 19, 86–125.
Lieberman, D. L., Tybur, J. M., & Latner, J.
D. (2012). Disgust sensitivity, obesity
stigma, and gender: Contamination psy-
chology predicts bias for women, not
men. Obesity, 20, 1803–1814.
Link, B. G., Cullen, F. T., Frank, J., &
Wozniak, F. (1987). The social rejection
of former mental patients: Understand-
ing why labels matter. American Journal
of Sociology, 92, 1461–1500.
MacDonald, G., & Leary, M. R. (2005).
Why does social exclusion hurt? The rela-
tionship between social and physical
pain. Psychological Bulletin, 131, 202–223.
Macrae, C. N., Bodenhausen, G. V., Milne,
A. B., & Jetten, J. (1994). Out of mind
but back in sight: Stereotypes on the
rebound. Journal of Personality and Social
Psychology, 67, 808–817.
McIntyre, J. C., Barlow, F. K., & Hayward, L.
E. (2015). Stronger sexual desires only pre-
dict bold romantic intentions and reported
infidelity when self-control is low. Austra-
lian Journal of Psychology., 67, 178–186.
Oaten, M., Stevenson, R. J., & Case, T. I.
(2009). Disgust as a disease-avoidance
mechanism. Psychological Bulletin, 135,
303–321.
Park, J. H., Schaller, M., & Crandall, C. S.
(2007). Pathogen-avoidance mechanisms
and the avoidance of obese people. Evo-
lution and Human Behavior, 28, 410–414.
Pearl, R. L., Puhl, R. M., & Brownell, K. D.
(2012). Positive media portrayals of
obese persons: Impact on attitudes and
image preferences. Health Psychology, 31,
821–829.
Pettigrew, T. F., & Tropp, L. R. (2008).
How does intergroup contact reduce
prejudice? Meta-analytic tests of three
mediators. European Journal of Social
Psychology, 38, 922–934.
Puhl, R. M., & Brownell, K. D. (2006). Con-
fronting and coping with weight stigma:
An investigation of overweight and obese
adults. Obesity, 14, 1802–1815.
Rozin, P., Lowery, L., Imada, S., & Haidt, J.
(1999). The CAD triad hypothesis: A
mapping between three moral emotions
(contempt, anger, disgust) and the moral
codes (community, autonomy, divinity).
Journal of Personality and Social Psychol-
ogy, 76, 574–586.
Rudolph, C. W., Wells, C. L., Weller, M. D.,
& Baltes, B. B. (2009). A meta-analysis of
empirical studies of weight-based bias in
the workplace. Journal of Vocational
Behavior, 74, 1–10.
Schwartz, M. B., Chambliss, H. O.,
Brownell, K. D., Blair, S. N., &
Billington, C. (2003). Weight bias among
health professionals specializing in obe-
sity. Obesity Research, 11, 1033–1039.
Schwartz, M. B., Vartanian, L. R., Nosek, B.
A., & Brownell, K. D. (2006). The influence
of one’s own body weight on implicit and
explicit anti-fat bias. Obesity, 14, 440–447.
Tapias, M. P., Glaser, J., Keltner, D.,
Vasquez, K., & Wickens, T. (2007). Emo-
tions and prejudice: Specific emotions
toward outgroups. Group Processes and
Intergroup Relations, 10, 27–39.
Teachman, B. A., Gapinski, K. D., Brownell,
K. D., Rawlins, M., & Jeyaram, S. (2003).
Demonstrations of implicit anti-fat bias:
The impact of providing causal informa-
tion and evoking empathy. Health Psy-
chology, 22, 68–78.
374 Disgust, prejudice, and discrimination
VC 2015 Wiley Periodicals, Inc Journal of Applied Social Psychology, 2016, 46, pp. 369–375
Tybur, J. M., Lieberman, D., & Griskevicius,
V. (2009). Microbes, mating, and moral-
ity: Individual differences in three func-
tional domains of disgust. Journal of
Personality and Social Psychology, 97,
103–122.
Vartanian, L. R. (2010a). Disgust and per-
ceived control in attitudes toward obese
people. International Journal of Obesity,
34, 1302–1307.
Vartanian, L. R. (2010b). “Obese people”
vs. “fat people”: Impact of group label
on weight bias. Eating and Weight Disor-
ders, 15, e195–e198.
Vartanian, L. R., & Fardouly, J. (2014). Reduc-
ing the stigma of bariatric surgery: Benefits
of providing information about necessary
lifestyle changes. Obesity, 22, 1233–1237.
Vartanian, L. R., Thomas, M. A., &
Vanman, E. J. (2013). Disgust, contempt,
and anger and the stereotypes of obese
people. Eating and Weight Disorders, 18,
377–382.
Wang, S. S., Brownell, K. D., & Wadden,
T. A. (2004). The influence of the
stigma of obesity on overweight indi-
viduals. International Journal of Obe-
sity, 28, 1333–1337.
Williams, K. D. (2007). Ostracism. Annual
Review of Psychology, 58, 425–452.
Vartanian et al. 375
VC 2015 Wiley Periodicals, Inc Journal of Applied Social Psychology, 2016, 46, pp. 369–375
Copyright of Journal of Applied Social Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use.