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The aim of this study was to estimate the relative frequency of Fetishes in a large sample of individuals. Using the Internet as a data source, we examined 381 discussion groups. We estimate, very conservatively, that at least 5000 individuals were targeted. The relative frequency of each preference category was estimated considering (a) the number of groups devoted to the category, (b) the number of individuals participating in the groups and (c) the number of messages exchanged. The three measures agree both parametrically (Cronbach's alpha=0.91) and non-parametrically (Kendall's W=0.94, P<0.01). Preferences for body parts or features and for objects usually associated with the body were most common (33 and 30%, respectively), followed by preferences for other people's behavior (18%), own behavior (7%), social behavior (7%) and objects unrelated to the body (5%). Feet and objects associated with feet were the most common target of preferences. These findings provide the first large database in an area, where the knowledge is particularly scarce.
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ORIGINAL ARTICLE
Relative prevalence of different fetishes
C Scorolli
1
, S Ghirlanda
1,2,3
, M Enquist
2,4
, S Zattoni
3
and EA Jannini
5
1
Department of Psychology, University of Bologna, Italy;
2
Group for Interdisciplinary Cultural Research, Stockholm
University, Sweden;
3
Faculty of Psychology, University of Bologna, Italy;
4
Zoology Institution, Stockholm University,
Sweden and
5
Department of Experimental Medicine, L’Aquila University, L’Aquila, Italy
The aim of this study was to estimate the relative frequency of Fetishes in a large sample of
individuals. Using the Internet as a data source, we examined 381 discussion groups. We estimate,
very conservatively, that at least 5000 individuals were targeted. The relative frequency of each
preference category was estimated considering (a) the number of groups devoted to the category,
(b) the number of individuals participating in the groups and (c) the number of messages exchanged.
The three measures agree both parametrically (Cronbach’s a ¼ 0.91) and non-parametrically
(Kendall’s W ¼ 0.94, Po0.01). Preferences for body parts or features and for objects usually
associated with the body were most common (33 and 30%, respectively), followed by preferences for
other people’s behavior (18%), own behavior (7%), social behavior (7%) and objects unrelated to the
body (5%). Feet and objects associated with feet were the most common target of preferences. These
findings provide the first large database in an area, where the knowledge is particularly scarce.
International Journal of Impotence Research (2007) 19, 432437; doi:10.1038/sj.ijir.3901547;
published online 15 February 2007
Introduction
Human sexuality is an interdisciplinary area where
researchers from different fields such as medicine,
biology, psychology, sociology and anthropology
meet and, to some extent, compete to explain
phenomena.
1–3
In particular, the expert in sexual
medicine is frequently called to deal with sexual
symptoms, such as erectile dysfunction or ejacula-
tory disturbances, that can be directly or indirectly
correlated with particular or unusual sexual inter-
ests. For many reasons (the private aspect of sexual
behavior, lack of strong theoretical models, lack of
funding), however, it is difficult to gather data from
large samples. This is especially true for rare sexual
preferences and behaviors, that are often referred as
‘deviant’ or ‘bizarre’ and whose expression may be
discouraged by society (in the scientific literature:
‘paraphilias’, ‘variant’ or ‘atypical’ preferences). As
a result, efforts to explain rare sexual preferences
and behaviors have been based on data from such
sources as psychiatric patients, sex offenders and
persons who have sought or have been referred to a
therapist.
2,4
To date, there is little theoretical under-
standing of why an object or a body part unrelated to
functional sexual activity attracts so much attention
as in fetishism. Although the available data may
suggest some pathogenetic mechanisms, they are not
sufficient to distinguish between inherited or en-
vironmental origin of fetishism. Moreover, there is
little empirical research attempting to estimate the
relative frequency of atypical sexual preferences in
the general population. Here, we present such a
research in a large, selected population of English-
speaking internet users.
Methods
Data source
We gathered data from public access areas of the
English-language section of Yahoo! groups, a large
collections of Internet discussion groups (http://
groups.yahoo.com). By registering with the Yahoo!
service, anyone is entitled to create discussion
groups on any topic, provided no copyrighted
material is posted and sexual or otherwise sensitive
content is posted only to age-restricted sections of
the site (see Yahoo!s terms of service at http://
docs.yahoo.com/info/terms). Many groups relate to
sexuality. The material posted to a group is often
reserved to group members (membership is usually
Received 13 June 2006; revised 30 December 2006;
accepted 5 January 2007; published online 15 February
2007
Correspondence: Professor EA Jannini, Department of
Experimental Medicine, University of L’Aquila, Via
Vetoio, Bldg 2, Room A2/54, L’Aquila, AQ 67100, Italy.
E-mail: jannini@univaq.it
International Journal of Impotence Research (2007) 19, 432437
&
2007 Nature Publishing Group All rights reserved 0955-9930/07 $30.00
www.nature.com/ijir
granted by the group founder after applying directly
by the Web or by email), but the following informa-
tion is public:
1. The group name.
2. A description of the group.
3. The number of group members.
4. A record of group activity (number of posted
messages for each month since creation).
We used this information to estimate the relative
frequency of sexual preferences for objects, body parts
and behaviors, as detailed below. Through the search
interface of Yahoo! groups, we obtained a list of 2938
groups whose name or description text contained the
word ‘fetish’. On 28 October, 2004, we downloaded
the public information for these groups via a custom
program (available at request). As a comparison, we
quote how many groups are retrieved using some
popular sports as keywords (as of November 2005):
football (6383); soccer (4221); basketball (3471);
hockey (2724); and volleyball (1710).
The word ‘fetish’ that we used to locate data on
sexual preferences is utilized in everyday language
with a much broader scope than its psychiatric
definition,
2
and the two should not be confused. In
everyday usage, ‘fetish’ refers to sexually arousing
stimuli that would not meet psychiatric criteria for
a diagnosis of fetishism.
5
In many cases, they may
simply enhance sexual interest or satisfaction rather
than being necessary for it. ‘Fetish’ may also refer to
preferences for objects or activities in non-sexual
contexts (see below). In this study, we used ‘fetish’
merely as a convenient keyword to retrieve data
about sexual preferences through the search inter-
face of Yahoo! groups. Our aim was to survey sexual
preferences and not clinical cases of Fetishism.
Criteria for inclusion and sample size
Starting from the 2938 groups initially retrieved, we
selected the ones relevant for our study as follows.
First, we identified groups that dealt with sexual
topics. Thus, we discarded groups that used ‘fetish’
in a non-sexual context (e.g., fetish for a rock band)
as well as groups that used ‘fetish’ to deny that the
group was about sex, apparently to avoid undesired
sexual content being posted to the group. For
instance, a support group for pregnant women stated
explicitly that the group did not discuss ‘pregnancy
fetish’. For some groups, the sexual nature of
the topic could not be established with confidence
(e.g., there was no description text). Applying the
criterion that a group should be clearly identifiable
as discussing a sexual topic, we discarded from
further analysis 2161 groups.
Of the remaining groups, 372 were discarded
because they discussed ‘sex’ or ‘fetishism’ generic-
ally and thus could not be categorized. A further 18
groups were excluded because the message record
(one of our measures of frequency, see below) was
not available, and six groups were discarded
because they had no members. The groups that
passed all inclusion criteria were thus 381. The
average activity in these groups totals over 4000
messages per month, with over 1 50 000 nominal
members. Although the latter figure is certainly
inflated, because people usually subscribe to more
groups, it is likely that the number of individuals
targeted by our survey is, at least, of many
thousands. If everyone subscribed to as many as 30
groups, for instance, we would still have informa-
tion from about 5000 individuals. Usually, a study
of atypical sexual preferences with 100 or more
participants is considered very large.
2,4
Data analysis
We devised a scheme whereby a sexual preference
could be assigned to one or more categories. Three
macroareas were devised: body, objects and beha-
viors. These were further subdivided to describe,
in broad terms preferences for (the examples in
parentheses come from our data):
1. A part or feature of the body (e.g., feet or
overweight individuals), including body modifi-
cations (e.g., tattoos).
2. An object usually experienced in association with
the body (e.g., shoes or headphones).
3. An object not usually associated with the body
(e.g., dirty dishes, candles).
4. An event involving only inanimate objects (we
found no examples).
5. A person’s own behavior (e.g., biting fingernails).
6. A behavior of other persons (e.g., smoking or
fighting).
7. A behavior or situation requiring an interaction with
others (e.g., domination or humiliation role play).
Each group was assigned to one or more categories
based on its name, the accompanying description
text and, were available, the message subjects
and content. Each group was independently classi-
fied by two researchers. Disagreements were limited
to about 5% of cases (usually when more cate-
gories were involved), and were resolved by
discussion. We then proceeded to estimate the
relative frequency of the different preference
categories. We constructed three indices of
frequency:
1. The number of groups assigned to the category.
2. The total number of members of groups assigned
to the category.
3. The total number of messages, per month of
activity, exchanged in groups assigned to the
category.
The three measures were analyzed both parame-
trically, by the Cronbachs-a, and non-parametri-
cally, using the Kendall’s-W. Significance has been
Relative prevalence of different fetishes
C Scorolli et al
433
International Journal of Impotence Research
setted at Po0.05 and a computerized program has
been used for data analysis.
Results
The three indices of frequency (number of groups,
members, messages) agreed well both in ranking the
categories from most common to rarest (Kendall’s-
W ¼ 0.94, Po0.01) and in estimating their relative
frequency (Cronbach’s-a ¼ 0.91).
About 70% of groups (273 of 381) was assigned to
only one category. Figure 1a shows how members of
these groups are distributed among categories. The
majority of sexual preferences appears to involve
parts or features of the body and objects usually
associated with the body. There were no cases of
preferences for events that involve only inanimate
objects or a person’s own behavior. Figure 1b
includes also groups classified into two categories
(n ¼ 85, 22%) or more (n ¼ 23, 6%). The figure is
built by letting each group contribute to all cate-
gories into which it had been classified. For
instance, a group about ‘balloons and smoking’
(whose members declare a sexual interest for
smoking girls playing with balloons) contributed
its 1182 members to both the ‘external object’ and
‘other’s behavior’ categories. Additionally, Table 1
displays which combinations of two categories were
found. Body parts and objects associated with the
body appear most frequent, but behaviors that were
preferred when performed either by oneself or by
others are also common. The latter explains most of
the difference between Figures 1a and b.
Tables 2 and 3 present, respectively, an analysis
of preferences for body parts and objects usually
associated with the body. Among these, feet and
toes, as well as objects associated with the feet, such
as socks and shoes, received most of the preferences.
Table 1 Relative frequency of sexual preferences relating to two preference categories
Preference category Group members Relative frequency (%)
Body part/feature þ social behavior 14 147 26
Own behavior þ other’s behavior 9831 18
Object associated with body þ external event 6544 12
Body part/feature þ object associated with body 5252 10
Body part/feature þ object not associated with body 4383 8
Social behavior þ other’s behavior 2774 5
Body part/feature þ other’s behavior 2249 4
Own behavior þ object associated with body 1938 4
Body part/feature þ own behavior 1734 3
Object associated with body þ object not associated with body 1685 3
Other’s behavior þ object associated with body 1276 2
Other’s behavior þ object not associated with body 1199 2
Other’s behavior þ external event 631 1
Social behavior þ object associated with body 284 o1
Social behavior þ object not associated with body 30 o1
Other combinations 00
Figure 1 Distribution of sexual preferences expressed in Yahoo!
discussion groups. (a) Estimated distribution from all groups that
have been classified into a single category. (b) Estimated
distribution including groups that were classified into any
number of categories (in which case a group contributed to all
relevant categories, see Methods).
Relative prevalence of different fetishes
C Scorolli et al
434
International Journal of Impotence Research
Discussion
This is the first large survey on the relative
prevalence of unusual sexual stimuli on a very large
worldwide sample of people interested on fetishism.
Our data demonstrate that most sexual preferences
are directly related to the human body (e.g., feet) or
to objects experienced in close association with the
body (e.g., pieces of clothing). A similar pattern
has been reported in an informal investigation of
a few Internet news groups
6
and in a sample of 48
psychiatric patients.
7
Preferences for external
objects, one’s own behaviors and events that do
not involve persons are instead rare.
The database of knowledge in Fetishism is scarce.
Although simply observational in nature, these data
allow some speculations within an area in high need
of research and clarification.
The lack of epidemiological data and of a shared
taxonomy for describing paraphilic behaviors is one
of the primary factors that has hampered the
scientific scrutiny of Fetishism as well as the search
for etiological mechanisms.
8
Although many the-
ories have been advanced to account for the
Table 2 Sexual preferences for body parts or features
Preferred body part or feature Sexological classification (*) Group
members
Relative
frequency
(%)
Feet, toes Podophilia 44 722 47
Body fluids (blood, urine, etc.) Golden/brown showers, watersport, urophilia,
scatophilia, lactaphilia, menophilia, mucophilia
8376 9
Body size (obesity, tall, short, etc.) Chubby chasers, nanophilia 8241 9
Hair Trichophilia 6707 7
Muscles Cratophilia (strength), sthenophilia (muscle) 5515 5
Body modifications (tattoes, pierceing,
etc.)
Tattoing, piercing, ringing, stigmatophilia 4102 4
Genitals Medophilia 3336 4
Belly or navel Alvinophilia 2861 3
Ethnicity Allotriorastry, miscegenation, xenophilia 2681 3
Breasts Mammaphilia, mammagynophilia, mastofact 2602 3
Legs, buttocks Crurofact, Pygophilia 1830 2
Mouth, lips, teeth Odontophilia 1697 2
Body hair Hirsutophilia, gynephilus- and pubephilia (pubic hair
fetish), depilation
864 o1
Nails ‘Bed of Nails’ 669 o1
Nose Nasophilia, hygrophilia 316 o1
Ears / 91 o1
Neck / 88 o1
Body odor Mysophilia, osmophilia 82 o1
A group could contribute to more entries; e.g. the group ‘barefoot bodybuilders’ contributed to both the ‘feet, toes’ and ‘muscles’
categories. The total number of members is not the same as Figure 1 because some body related groups could not be categorized as
referring to a body part (e.g., the group ‘young firm teen body’). (*).
12,26
Table 3 Sexual preferences for objects associated with the body
Preferred object Group members Relative frequency (%)
Objects worn on legs and buttocks (stockings, skirts, etc.) 27 490 33
Feetwear 26 739 32
Underwear 10 046 12
Whole-body wear (costumes, coats, etc.) 7424 9
Objects worn on trunk (jacket, waistcoat, etc.) 7226 9
Objects worn on head and neck (hats, necklaces, etc.) 2357 3
Stethoscopes 933 1
Wristwatches, bracelets, etc. 716 o1
Diapers 483 o1
Hearing aids 150 o1
Catheters 28 o1
Pace-makers 2 o1
A group could contribute to more entries, see Table 2. The total number of members is not the same as Figure 1 because some groups
could not be categorized as referring to specific objects (e.g., the group ‘leather wearing’).
Relative prevalence of different fetishes
C Scorolli et al
435
International Journal of Impotence Research
development of typical and atypical sexual beha-
viors, none has been fully convincing. By applying
evolutionary biology to human sexuality, some
authors aimed to demonstrate an innate mechan-
ism(s) to explain sexual preferences.
9
Others
consider sexual preferences, such as male homo-
sexuality, genetic in nature.
10
Our results partially
agree and partially contrast this theory, at least for
fetishes. In fact, the highly frequent preference for
artificial objects here demonstrated seems not
consistent with the genetic determination of
preferences. It is unlikely that a particular genetic
makeup should result in a preference for specific
stimuli such as, for instance, coats, balloons, eye-
glasses or headphones all of which we found in
our data. On the other hand, the abundance of body-
related preferences (feet, breast, etc.) may derive
from a genetic predisposition that favors the acqui-
sition of such preferences, as we discussed pre-
viously.
11
It has been hypothesized that the selection of a
fetish involves conditioning or learned behavior and
requires a strong stimulus for it to register.
12
Freud
attributed a major role to early events, viewing
fetishism as the adult consequence of the castration
complex developed during childhood, whereby the
fetish functions as a penis substitute.
13,14
Some of
our findings are in keeping with this theory. Freud
noticed the frequent interest in feet
15
and ascribed
this to the notion that feet are a penis symbol, a
claim that a posteriori could be made of many
objects. We found podophilia prominent (about half
of Feticist groups subscribers) in our sample.
Many theories of sexuality are grounded on the
notion that sexual preferences are acquired through
interactions with others.
1,2
Ethologists, for instance,
have shown that many bird and mammal species
acquire sexual preferences through interactions
with conspecifics early in life,
16,17
and a few studies
have suggested imprinting-like processes in hu-
mans.
18
Based on these ideas, it has been suggested
that non-functional sexual preferences may be an
atypical outcome of acquisition processes that
usually lead to functional preferences.
1,19
The
pattern here empirically found suggests that it could
be relatively easy to acquire a sexual preference for
stimuli and behaviors that are usually experienced
in association with other individuals, whereas in the
absence of such association, the establishment of
a sexual preference may be more difficult.
Both strengths and weaknesses of our study are
concerned with the use of the Internet as a data
source. The Internet is increasingly used for scien-
tific research in sexology,
20,21
because it allows to
gather large samples even for particular behaviors or
sexual symptoms and also it encourages people to
freely express themselves,
22,23
which in the present
context may overcome some biases associated with
traditional questionnaires on sexual behaviors.
24
The most commonly recognized shortcomings of
Internet studies are possible sampling biases and
deliberately inaccurate reporting.
25
The latter is less
relevant here because we simply observe the free
expression of sexual preferences, rather than en-
quiring about them. Sampling biases in Internet
studies are often attributed to the higher socio-
economical and educational status of Internet users.
These, however, are no longer an elite in many
countries, and it is estimated that 60% of USA
citizens are Internet users.
25
Although it is difficult
to ascertain whether the putative 1 50 000 Yahoo!
groups subscribers here surveyed represent the
general population, it should be acknowledged that
most of the research on atypical sexual behavior
is based on data sources that are, in all likelihood,
even less representative, such as psychiatric
patients and sex offenders. A potential bias of our
study is that data have been gathered searching for
the word ‘fetish’. Thus preferences and behaviors
that are not commonly labeled ‘fetishism’ may be
under-represented. However, a bias in our conclu-
sions would follow only if such behaviors fell
preferentially into one or several specific categories,
something for which we have no evidence.
Our study, however large compared with others,
only analyzed a tiny fraction of the Internet. It
would be very rewarding to survey other portions of
the Internet, for instance from non-English-speaking
communities, to potentially reveal cultural variation
in preferences.
Acknowledgments
This research was partially funded by the Italian
Ministry of University, Education and Research
(PRIN 2003 and 2005 grants) and by an unrestricted
grant from Pfizer Italy.
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In this chapter, I explore why male sexuality is constructed in such a way that men can get sexually excited by plastic dolls, sex robotsSex robot or chatbots, as well as a panoply of other fetishFetish objects which replace human beings. The fact that men can be sexually excited by inanimate objects needs to be explained. There is no evidence that women have this problem and sex dollsSex doll(s) made to represent male bodies are not marketed to women. I argue that this interest in men can only be understood by examining the construction of male sexuality out of the power relations of male domination.
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The interface of sexual behavior and evolutionary psychology is a rapidly growing domain, rich in psychological theories and data as well as controversies and applications. With nearly eighty chapters by leading researchers from around the world, and combining theoretical and empirical perspectives, The Cambridge Handbook of Evolutionary Perspectives on Sexual Psychology is the most comprehensive and up-to-date reference work in the field. Providing a broad yet in-depth overview of the various evolutionary principles that influence all types of sexual behaviors, the handbook takes an inclusive approach that draws on a number of disciplines and covers nonhuman and human psychology. It is an essential resource for both established researchers and students in psychology, biology, anthropology, medicine, and criminology, among other fields. Volume 4: Controversies, Applications, and Nonhuman Primate Extensions addresses controversies and unresolved issues; applications to health, law, and pornography; and non-human primate evolved sexual psychology.
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