ArticlePDF Available

Abstract and Figures

In the last few years, there has been a wave of articles related to behavioral addictions; some of them have a focus on online pornography addiction. However, despite all efforts, we are still unable to profile when engaging in this behavior becomes pathological. Common problems include: sample bias, the search for diagnostic instrumentals, opposing approximations to the matter, and the fact that this entity may be encompassed inside a greater pathology (i.e., sex addiction) that may present itself with very diverse symptomatology. Behavioral addictions form a largely unexplored field of study, and usually exhibit a problematic consumption model: loss of control, impairment, and risky use. Hypersexual disorder fits this model and may be composed of several sexual behaviors, like problematic use of online pornography (POPU). Online pornography use is on the rise, with a potential for addiction considering the “triple A” influence (accessibility, affordability, anonymity). This problematic use might have adverse effects in sexual development and sexual functioning, especially among the young population. We aim to gather existing knowledge on problematic online pornography use as a pathological entity. Here we try to summarize what we know about this entity and outline some areas worthy of further research.
This content is subject to copyright.
Journal of
Clinical Medicine
Review
Online Porn Addiction: What We Know and What We
Don’t—A Systematic Review
Rubén de Alarcón1, Javier I. de la Iglesia 1, Nerea M. Casado 1and Angel L. Montejo 1, 2, *
1Psychiatry Service, Hospital Clínico Universitario de Salamanca, Institute of Biomedical Research of
Salamanca (IBSAL), 37007 Salamanca, Spain; ruperghost@gmail.com (R.d.A.);
javidelaiglesia.jdli@gmail.com (J.I.d.l.I.); nmcasado91@gmail.com (N.M.C.)
2University of Salamanca, EUEF, 37007 Salamanca, Spain
*Correspondence: amontejo@usal.es; Tel.: +34-639754620
Received: 27 November 2018; Accepted: 10 January 2019; Published: 15 January 2019


Abstract:
In the last few years, there has been a wave of articles related to behavioral addictions;
some of them have a focus on online pornography addiction. However, despite all efforts, we are still
unable to profile when engaging in this behavior becomes pathological. Common problems include:
sample bias, the search for diagnostic instrumentals, opposing approximations to the matter, and the
fact that this entity may be encompassed inside a greater pathology (i.e., sex addiction) that may
present itself with very diverse symptomatology. Behavioral addictions form a largely unexplored
field of study, and usually exhibit a problematic consumption model: loss of control, impairment,
and risky use. Hypersexual disorder fits this model and may be composed of several sexual behaviors,
like problematic use of online pornography (POPU). Online pornography use is on the rise, with a
potential for addiction considering the “triple A” influence (accessibility, affordability, anonymity).
This problematic use might have adverse effects in sexual development and sexual functioning,
especially among the young population. We aim to gather existing knowledge on problematic online
pornography use as a pathological entity. Here we try to summarize what we know about this entity
and outline some areas worthy of further research.
Keywords:
online pornography; addiction; cybersex; internet; compulsive sexual behavior;
hypersexuality
1. Introduction
With the inclusion of “Gambling Disorder” in the “Substance Use and Addictive Disorders”
chapter of the DSM-5 [
1
], the APA publicly acknowledged the phenomenon of behavioral addiction.
Furthermore, “Internet Gaming Disorder” was placed in Section 3—conditions for further study.
This represents the ongoing paradigm shift in the field of addictions that relates to addictive
behavior, and paves the way for new research in the light of cultural changes caused by the
new technologies.
There is apparently an existing common neurobiological [
2
] and environmental [
3
] ground
between the varying addictive disorders, including both substance abuse and addictive behavior;
this can manifest as an overlapping of both entities [4].
Phenomenologically, behaviorally addicted individuals frequently exhibit a problematic
consumption model: impaired control (e.g., craving, unsuccessful attempts to reduce the behavior),
impairment (e.g., narrowing of interests, neglect of other areas of life), and risky use (persisting
intake despite awareness of damaging psychological effects). Whether these behaviors also meet
physiological criteria relating to addiction (tolerance, withdrawal) is more debatable [46].
J. Clin. Med. 2019,8, 91; doi:10.3390/jcm8010091 www.mdpi.com/journal/jcm
J. Clin. Med. 2019,8, 91 2 of 20
Hypersexual disorder is sometimes considered one of those behavioral addictions. It is used as an
umbrella construct that encompasses various problematic behaviors (excessive masturbation, cybersex,
pornography use, telephone sex, sexual behavior with consenting adults, strip club visitations, etc.) [
7
].
Its prevalence rates range from 3% to 6%, though it is difficult to determine since there is not a formal
definition of the disorder [8,9].
The lack of robust scientific data makes its research, conceptualization, and assessment difficult,
leading to a variety of proposals to explain it, but is usually associated with significant distress, feelings
of shame and psychosocial dysfunction [
8
], as well as other addictive behaviors [
10
] and it warrants
direct examination.
Concurrently, the rise of the new technologies has also opened up a pool of problematic addictive
behavior, mainly Internet Addiction. This addiction may focus on a specific application on the internet
(gaming, shopping, betting, cybersex . .. ) [11] with potential for risk-addictive behavior; in this case,
it would act as a channel for concrete manifestations of said behavior [
4
,
12
]. This means inevitable
escalation, providing new outlets for established addicts as well as tempting people (due to increased
privacy, or opportunity) who would not have previously engaged in these behaviors.
Online pornography use, also known as Internet pornography use or cybersex, may be one of
those Internet-specific behaviors with a risk for addiction. It corresponds to the use of Internet to engage
in various gratifying sexual activities [
13
], among which stands the use of pornography [
13
,
14
] which
is the most popular activity [
15
17
] with an infinite number of sexual scenarios accessible [
13
,
18
20
].
Continued use in this fashion sometimes derives in financial, legal, occupational, and relationship
trouble [
6
,
21
] or personal problems, with diverse negative consequences. Feelings of loss of control and
persistent use despite these adverse results constitute “online sexual compulsivity” [
22
] or Problematic
Online Pornography Use (POPU). This problematic consumption model benefits from the “Triple A”
factors [23].
Due to this model, pornography-related masturbation may be more frequent nowadays, but this
is not necessarily a sign of pathology [
21
]. We know that a considerable proportion of young male
population access Internet for pornography consumption [
24
,
25
]; in fact, it is one of their key sources
for sexual health [
26
]. Some have expressed concern about this, addressing the time gap between when
porn material is consumed for the first time ever, and an actual first sexual experience; specifically,
how the former can have an impact on sexual development [
27
] like abnormally low sexual desire
when consuming online pornography [
28
] and erectile dysfunction, which has spiked dramatically
among young men in the past few years when compared to a couple decades ago [2933].
We systematically reviewed the existing literature on the subject of POPU to try and summarize
the various recent advances made in terms of epidemiology, clinical manifestations, neurobiological
evidence that supports this model of problematic use, its diagnostic conceptualization in relation to
hypersexual disorder, its proposed assessment instruments and treatment strategies.
2. Methods
We performed the systematic review following PRISMA guidelines (Figure 1). Given the
relatively new body of evidence regarding this subject, we conducted our review with no specific
time-delimitation. Priority was placed upon literature reviews and articles published via a newest to
oldest methodology, preferentially for already published reviews on the subject. PubMed and Cochrane
were the main databases used, though a number of articles were compiled through cross-referencing.
J. Clin. Med. 2019,8, 91 3 of 20
J. Clin. Med. 2019, 8, x FOR PEER REVIEW 3 of 21
Figure 1. PRISMA flow diagram.
Since our focus was mainly online pornography and addictive sexual behavior, we excluded
those articles that had only a peripheral association with it in our search: those with a focus on
generalized Internet addiction, those centered on the pornographic equivalent of varying paraphilias,
and those that approached the subject from a social perspective.
The following search terms and their derivatives were used in multiple combinations: cybersex,
porn* (to allow for both pornography and pornographic”), addict* (to allow for both addiction
and addictive”), online, internet, sex, compulsive sex, hypersexuality. The reference management
tool Zotero was used to build a database of all articles considered.
3. Results
3.1. Epidemiology
Pornography consumption in the general population proves difficult to be adequately
measured, especially since the rise of the Internet and the triple A factors which have allowed for
both privacy and ease of access. Wright’s study about the use of pornography in U.S. male population
using the General Social Survey (GSS) [34], and Price’s study (which expands upon Wright’s by
distinguishing among age, cohort, and period effects) [35] constitute some of the few, if not the only
ones, existing sources that track pornography use in the general population. They show the overall
increasing consumption of pornography over the years, especially among male population in contrast
to females. This is particularly prevalent among young adults, and it steadily decreases with age.
496 articles found through database
searches
152 articles selected for full-text review
138 articles match inclusion criteria
344 articles excluded after screening for
both title & abstract
184 articles included
14 articles excluded:
Focus on generalized Internet
addiction (4), focus on social
perspective (2), focus on paraphilic
sexual behavior (8)
46 additional articles identified
through cross-referencing
Figure 1. PRISMA flow diagram.
Since our focus was mainly online pornography and addictive sexual behavior, we excluded those
articles that had only a peripheral association with it in our search: those with a focus on generalized
Internet addiction, those centered on the pornographic equivalent of varying paraphilias, and those
that approached the subject from a social perspective.
The following search terms and their derivatives were used in multiple combinations: cybersex,
porn* (to allow for both “pornography” and “pornographic”), addict* (to allow for both “addiction”
and “addictive”), online, internet, sex, compulsive sex, hypersexuality. The reference management tool
Zotero was used to build a database of all articles considered.
3. Results
3.1. Epidemiology
Pornography consumption in the general population proves difficult to be adequately measured,
especially since the rise of the Internet and the “triple A” factors which have allowed for both privacy
and ease of access. Wright’s study about the use of pornography in U.S. male population using the
General Social Survey (GSS) [34], and Price’s study (which expands upon Wright’s by distinguishing
among age, cohort, and period effects) [
35
] constitute some of the few, if not the only ones, existing
sources that track pornography use in the general population. They show the overall increasing
consumption of pornography over the years, especially among male population in contrast to females.
This is particularly prevalent among young adults, and it steadily decreases with age.
J. Clin. Med. 2019,8, 91 4 of 20
Some interesting facts about pornography consumption tendencies stand out. One of them is that
the 1963 and 1972 male cohort showed only a very small decline on their usage from the year 1999
onwards, suggesting that porn consumption among these groups has remained relatively constant
since [
35
]. The other one is that 1999 is also the year the tendency for women aged 18 to 26 to consume
pornography became three times as likely than the ones aged 45 to 53, instead of just two times as
likely as it used to be up until that point [
35
]. These two facts could be related to changing tendencies
in pornography consumption motivated by technology (switching from the offline to the online model
of consumption), but it is impossible to know for sure since the original data does not account for
differences in both offline and online variants when tracking pornography usage.
As for POPU, there is no clear and reliable data in the literature reviewed that can offer a solid
estimation of its prevalence. Adding up to the already mentioned motives for lack of data on general
pornography consumption, part of it might stem from the perceived taboo nature of the topic at hand
by possible participants, the wide range of assessment tools used by researchers, and the lack of
consensus on what actually constitutes a pathological usage of pornography, which are all issues also
reviewed further into this paper.
The vast majority of studies pertaining POPU or hypersexual behavior prevalence use convenience
samples to measure it, usually finding, despite population differences, that very few users consider
this habit an addiction, and even when they do, even fewer consider that this could have a negative
effect on them. Some examples:
(1)
A study assessing behavioral addictions among substance users, found that only 9.80% out of
51 participants considered they had an addiction to sex or pornography [36].
(2)
A Swedish study that recruited a sample of 1913 participants through a web questionnaire, 7.6%
reported some Internet sexual problem and 4.5% indicated feeling ‘addicted’ to Internet for love
and sexual purposes, and that this was a ‘big problem’ [17].
(3)
A Spanish study with a sample of 1557 college students found that 8.6% was in a potential risk
of developing a pathological usage of online pornography, but that the actual pathological user
prevalence was 0.7% [37].
The only study with a representative sample to date is an Australian one, with a sample of
20,094 participants; 1.2% of the women surveyed considered themselves addicted, whereas for the
men it was 4.4% [
38
]. Similar findings also apply to hypersexual behavior outside of pornography [
39
].
Predictors for problematic sexual behavior and pornography use are, across populations: being a
man, young age, religiousness, frequent Internet use, negative mood states, and being prone to sexual
boredom, and novelty seeking [
17
,
37
,
40
,
41
]. Some of this risk factors are also shared by hypersexual
behavior patients [39,42].
3.2. Ethiopathogenical and Diagnostic Conceptualization
Conceptualizing pathological behaviors continues to be a challenge today. While several attempts
have been made regarding hypersexual behavior, the lack of robust data as of now explains the fact
that there’s no consensus on this matter [
9
]. POPU comprises a very specific set of sexual behaviors
that involve technology. Due to problematic technology use (especially online technology) being
relatively recent, we need first to talk about hypersexual behavior not related to technology in order to
understand the place of online pornography in it.
Sexuality as a behavior is vastly heterogeneous, and its potential pathological side has been
studied for centuries [
43
]. Therefore, it represents a challenge to models trying to adequately define
it, since it can incorporate practices ranging from solitary fantasizing to sexual violence [
21
]. It is
also difficult to define what constitutes an actual dysfunction and manage to avoid the possible
misuse of that definition to stigmatize and pathologize individuals [
44
]. For example, some set the
limit between normal and pathological sexual behavior at more than seven orgasms in a week [
43
]
(p. 381), but this approach focusing on quantity can be dangerous, since what constitutes normal and
J. Clin. Med. 2019,8, 91 5 of 20
pathological behavior can vastly vary between individuals. This lack of uniformity and consistency in
its classification may hinder future research on investigating hypersexual behavior [
45
] and ignore
the quality aspects that focus on the negative emotions associated with it [
46
,
47
]. There have been
proposals to redeem this issue using certain tools, already developed as part of the hypersexual
disorder proposal used in the DSM-5 field trial [43,47].
Hypersexuality generally acts as an umbrella construct [
7
]. Its nomenclature is still a matter
of debate to this day, and it is frequent to encounter several terms that refer to the same concept:
compulsive sexual behavior, sex addiction, sexual impulsivity, hypersexual behavior or hypersexual
disorder. Some authors, while recognizing the value of the terms “addiction” and “compulsivity”,
prefer to draw attention to the issue of control and its possible loss or compromise as the primary
concern about this behavior, thus referring to it as “out of control sexual behavior” [45,48,49].
Although definitions are not uniform, they usually focus on the frequency or intensity
of symptoms [
46
] of otherwise normal urges and fantasies, that would result in dysfunction.
This differentiates it from paraphilic sexual behavior, though the need for a better clarification of
possible differences, similarities, and overlap between the two types still persists [45].
Usually included in hypersexual behavior are excessive masturbation and various sexual
related behaviors, like dependence on anonymous sexual encounters, repetitive promiscuity, internet
pornography, telephone sex, and visiting strip clubs [43,44,4951]. Bancroft particularly thought that,
in using Internet, both masturbation and these sexual activities could blend themselves, stating that
men “use it as an almost limitless extension of their out of control masturbatory behavior”.
While the possibility to diagnose hypersexual behavior was always available with “sexual disorder
not otherwise specified” in the DSM [
1
], Kafka [
43
] tried to propose it as a diagnostic entity for the
DSM-5. He presented a set of criteria for it, as part of the sexual disorders chapter. These proposed
models included hypersexual behavior as: (1) sexually motivated, (2) a behavioral addiction, (3) part of
the obsessive-compulsive spectrum disorder, (4) part of the impulsivity-spectrum disorders, and (5) an
“out of control” excessive sexual behavior. This proposal was ultimately rejected due to several reasons;
the main was said to be absence of consolidated epidemiological and neuroimaging data regarding this
behavior [
52
,
53
], but also its potential for forensic abuse, a not specific enough set of diagnostic criteria,
and potential politic and social ramifications of pathologizing an integral area of behavior to human
life [
54
]. It is interesting to compare it to the other two previous set of criteria present in the reviewed
literature, those of Patrick Carnes and Aviel Goodman [
9
]. All three share the concepts of loss of control,
excessive time spent on sexual behavior and negative consequences to self/others, but diverge on the
other elements. This reflects in broad strokes the lack of consensus in conceptualizing hypersexual
behavior across the years. Currently, the main options propose hypersexual behavior either as an
impulse control disorder or a behavioral addiction [55].
From an impulse control disorder perspective, hypersexual behavior is generally referred
to as Compulsive Sexual Behavior (CSB). Coleman [
56
] is a proponent of this theory. While he
includes paraphilic behavior under this term [
57
], and they may coexist in some cases, he distinctly
differentiates it from nonparaphilic CSB, which is what we want to focus on in this review. Interestingly,
nonparaphilic hypersexual behavior is usually as frequent, if not more, than some paraphilias [
43
,
58
].
However, more recent definitions of CSB usually refer to multiple sexual behaviors that can be
compulsive: the most commonly reported being masturbation, being followed by compulsive use of
pornography, and promiscuity, compulsive cruising, and multiple relationships (22–76%) [9,59,60].
While there are definite overlaps between hypersexuality and conditions such as
obsessive-compulsive disorder (OCD) and other impulse control disorders [
61
], there are also some
notable differences pointed out: for example, OCD behaviors do not involve reward, unlike sexual
behavior. Moreover, while engaging in compulsions might result in temporary relief for OCD
patients [
62
], hypersexual behavior is usually associated by guilt and regret after committing the act [
63
].
Also, the impulsivity that can sometimes dominate the patient’s behavior is incompatible with the
careful planning that is sometimes required in CSB (for example, in regards to a sexual encounter) [
64
].
J. Clin. Med. 2019,8, 91 6 of 20
Goodman thinks that addiction disorders lie at the intersection of compulsive disorders (which
involve anxiety reduction) and impulsive disorders (which involve gratification), with the symptoms
being underpinned by neurobiological mechanisms (serotoninergic, dopaminergic, noradrenergic,
and opioid systems) [
65
]. Stein agrees with a model combining several ethiopathogenical mechanisms
and proposes an A-B-C model (affective dysregulation, behavioral addiction, and cognitive dyscontrol)
to study this entity [61].
From an addictive behavior standpoint, hypersexual behavior relies on sharing core aspects of
addiction. These aspects, according to the DSM-5 [
1
], refer to the mentioned problematic consumption
model applied to hypersexual behavior, both offline and online [
6
,
66
,
67
]. Evidence of tolerance
and withdrawal in these patients might probably be key in characterizing this entity as an addictive
disorder [
45
]. Problematic use of cybersex is also often conceptualized as a behavioral addiction [
13
,
68
].
The term “addiction” applying to this entity is still subject to great debate. Zitzman considers
that the resistance to use the term addiction is “more a reflection of cultural sexual liberality and
permissiveness than any lack of symptomatic and diagnostic correspondence with other forms of
addiction” [
69
]. However, the term needs to be used with caution, since it can be interpreted as a
justification for an irresponsible search for gratification and hedonist pleasure, and blame the disruptive
consequences on it.
There has long been a debate between Patrick Carnes and Eli Coleman over the diagnostics of
hypersexual behavior. Coleman has considered hypersexuality to be driven by the need to reduce
some type of anxiety, not by sexual desire [
56
] having classified it in seven subtypes (one of them being
use of online pornography) [
57
], while Carnes (who defined addiction as “a pathological relationship
with a mood altering experience”) finds similitudes to other behavioral addictions like gambling,
focusing on the loss of control and continued behavior despite negative consequences [70].
A thorough review of the literature by Kraus [
71
], concluded that despite these similitudes,
significant gaps in the concept’s understanding complicate its classification as an addiction. The main
concerns are aimed towards quantity of large-scale prevalence, longitudinal and clinical data
(defining main symptoms and its diagnostic limits), supported by neuropsychological, neurobiological,
and genetic data, as well as some information regarding possible treatment screening and prevention,
and points to digital technology in hypersexual behavior as a key point for future research.
The rise of the Internet increases the possibilities for sexual interactions, and not just online
pornography (webcamming, casual sex websites). Even whether Internet use represents a conduit for
other types of repetitive behavior (e.g., sexual behavior or gambling) or constitutes a different entity in
its own right is still debated [
72
]. Nevertheless, if the case is the former, the previous evidence and
considerations could very well apply to its online counterpart.
There is currently a need for empirically derived criteria that takes into account unique factors
characterizing online (versus offline) sexual behaviors, since most of them do not have an offline
version that can be compared to [
73
]. So far, there have been mentions of new phenomena when
dealing with online sexual behavior, like the presence of online dissociation [
74
], which causes to “be
mentally and emotionally detached when engaged, with compromised time and depersonalization”.
This dissociation has already been described in relation to other online activities [
75
], which supports
the notion that cybersex problematic use could be related to both internet and sex addiction [76].
Finally, we have to mention that a diagnostic entity called “compulsive sexual behavior disorder”
is being included in the upcoming definitive edition of ICD-11, in the “impulse control disorders”
chapter [
77
]. The definition can be consulted at https://icd.who.int/dev11/l-m/en#/http%3a%2f%
2fid.who.int%2ficd%2fentity%2f1630268048.
The inclusion of this category in the ICD-11 may be a response to the relevance of this issue
and attest to its clinical utility, whereas the growing but yet inconclusive data prevents us from
properly categorizing it as a mental health disorder [
72
]. It is believed to provide a better tool (yet
in refinement process) for addressing the needs of treatment seeking patients and the possible guilt
associated [
78
], and also may reflect the ongoing debates regarding the most appropriate classification
J. Clin. Med. 2019,8, 91 7 of 20
of CSB and its limited amount of data in some areas [
55
,
71
] (Table 1). This inclusion could be the first
step towards recognizing this issue and expanding on it, one key point being undoubtedly its online
pornography subtype.
Table 1. DSM-5 and ICD-11 approaches to classifying hypersexual behavior.
DSM-5 ICD-11
Goal
Provide common research and clinical
language for mental health problems
Reflect issues of clinical utility in a
broad range of settings, global
applicability, and scientific validity [79]
Conceptualization of
hypersexual disorder Addiction model Impulse control model
Available diagnosis
No current hypersexual disorder
diagnosis, due to insufficient evidence
to categorize it as addiction
Compulsive sexual behavior disorder
3.3. Clinical Manifestations
Clinical manifestations of POPU can be summed up in three key points:
Erectile dysfunction: while some studies have found little evidence of the association between
pornography use and sexual dysfunction [
33
], others propose that the rise in pornography use
may be the key factor explaining the sharp rise in erectile dysfunction among young people [
80
].
In one study, 60% of patients who suffered sexual dysfunction with a real partner, characteristically
did not have this problem with pornography [
8
]. Some argue that causation between pornography
use and sexual dysfunction is difficult to establish, since true controls not exposed to pornography
are rare to find [81] and have proposed a possible research design in this regard.
Psychosexual dissatisfaction: pornography use has been associated with sexual dissatisfaction
and sexual dysfunction, for both males and females [
82
], being more critical of one’s body or their
partner’s, increased performance pressure and less actual sex [
83
], having more sexual partners
and engaging in paid sex behavior [
34
]. This impact is especially noted in relationships when it is
one sided [
84
], in a very similar way to marijuana use, sharing key factors like higher secrecy [
85
].
These studies are based on regular non-pathological pornography use, but online pornography
may not have harmful effects by itself, only when it has become an addiction [
24
]. This can explain
the relationship between the use of female-centric pornography and more positive outcomes for
women [86].
Comorbidities: hypersexual behavior has been associated with anxiety disorder, followed by
mood disorder, substance use disorder and sexual dysfunction [
87
]. These findings also apply to
POPU [
88
], also being associated with smoking, drinking alcohol or coffee, substance abuse [
41
]
and problematic video-game use [89,90].
Having some very specific pornographic content interests has been associated with an increase
in reported problems [
17
]. It has been debated if these clinical features are the consequence of direct
cybersex abuse or due to the subjects actually perceiving themselves as addicts [91].
3.4. Neurobiological Evidence Supporting Addiction Model
Collecting evidence about POPU is an arduous process; main data on this subject is still limited
by small sample sizes, solely male heterosexual samples and cross-sectional designs [
71
], with not
enough neuroimaging and neuropsychological studies [
4
], probably due to conceptual, financial
and logistic obstacles. In addition, while substance addiction can be observed and modeled in
experimental animals, we cannot do this with a candidate behavioral addiction; this may limit our
study of its neurobiological underpinnings [
72
]. Current knowledge gaps regarding the research of
hypersexual behavior, as well as possible approaches for addressing them, are expertly covered and
J. Clin. Med. 2019,8, 91 8 of 20
summarized in Kraus’ article [
71
]. Most of the studies found in our research pertain hypersexual
behavior, with pornography being only one of its accounted accessories.
This evidence is based on an evolving understanding of the neural process among
addiction-related neuroplasticity changes. Dopamine levels play an important part in this sexual
reward stimuli, as observed already in frontotemporal dementia and pro-dopaminergic medication in
Parkinson’s disease being linked with sexual behavior [92,93].
The addictive process with online pornography may be amplified by the accelerated novelty and
the “supranormal stimulus” (term coined by Nobel prize winner Nikolaas Tinbergen) that constitutes
Internet pornography [
94
]. This phenomenon would supposedly make artificial stimuli (in this case,
pornography in the way it is mostly consumed today, its online form) override an evolutionarily
developed genetic response. The theory is that they potentially activate our natural reward system
at higher levels than what ancestors typically encountered as our brains evolved, making it liable to
switch into an addictive mode [
2
]. If we consider online porn from this perspective, we can start seeing
similarities to regular substance addicts.
Major brain changes observed across substance addicts lay the groundwork for the future research
of addictive behaviors [95], including:
1. Sensitization [96]
2. Desensitization [97]
3. Dysfunctional prefrontal circuits (hypofrontality) [98]
4. Malfunctioning stress system [99]
These brain changes observed in addicts have been linked with patients with hypersexual behavior
or pornography users through approximately 40 studies of different types: magnetic resonance
imaging, electroencephalography (EEG), neuroendocrine, and neuropsychological.
For example, there are clear differences in brain activity between patients who have compulsive
sexual behavior and controls, which mirror those of drug addicts. When exposed to sexual images,
hypersexual subjects have shown differences between liking (in line with controls) and wanting (sexual
desire), which was greater [
8
,
100
]. In other words, in these subjects there is more desire only for the
specific sexual cue, but not generalized sexual desire. This points us to the sexual cue itself being then
perceived as a reward [46].
Evidence of this neural activity signalizing desire is particularly prominent in the prefrontal
cortex [
101
] and the amygdala [
102
,
103
], being evidence of sensitization. Activation in these brain
regions is reminiscent of financial reward [
104
] and it may carry a similar impact. Moreover, there are
higher EEG readings in these users, as well as the diminished desire for sex with a partner, but not
for masturbation to pornography [
105
], something that reflects also on the difference in erection
quality [
8
]. This can be considered a sign of desensitization. However, Steele’s study contains several
methodological flaws to consider (subject heterogeneity, a lack of screening for mental disorders
or addictions, the absence of a control group, and the use of questionnaires not validated for porn
use) [
106
]. A study by Prause [
107
], this time with a control group, replicated these very findings.
The role of cue reactivity and craving in the development of cybersex addiction have been corroborated
in heterosexual female [108] and homosexual male samples [109].
This attentional bias to sexual cues is predominant in early hypersexual individuals [
110
], but a
repeated exposure to them shows in turn desensitization [
111
,
112
]. This means a downregulation
of reward systems, possibly mediated by the greater dorsal cingulate [
107
,
113
,
114
]. Since the dorsal
cingulate is involved in anticipating rewards and responding to new events, a decrease in its activity
after repeated exposure points us to the development of habituation to previous stimuli. This results
in a dysfunctional enhanced preference for sexual novelty [
115
], which may manifest as attempts to
overcome said habituation and desensitization through the search for more (new) pornography as a
means of sexual satisfaction, choosing this behavior instead of actual sex [20].
J. Clin. Med. 2019,8, 91 9 of 20
These attempts at novelty seeking may be mediated through ventral striatal reactivity [
116
] and
the amygdala [
117
]. It is known that the viewing of pornography in frequent users has also been
associated with greater neural activity [
99
], especially in the ventral striatum [
116
,
118
] which plays a
major role in anticipating rewards [119].
However, connectivity between ventral striatum and prefrontal cortex is decreased [
103
,
113
];
a decrease in connectivity between prefrontal cortex and the amygdala has also been observed [
117
].
In addition, hypersexual subjects have shown reduced functional connectivity between caudate and
temporal cortex lobes, as well as gray matter deficit in these areas [
120
]. All of these alterations could
explain the inability to control sexual behavior impulses.
Moreover, hypersexual subjects showed an increased volume of the amygdala [
117
], in contrast
to those with a chronic exposure to a substance, which show a decreased amygdala volume [
121
];
this difference could be explained by the possible neurotoxic effect of the substance. In hypersexual
subjects, increased activity and volume may reflect overlapping with addiction processes (particularly
supporting incentive motivation theories) or be the consequence to chronic social stress mechanisms,
such as the behavioral addiction itself [122].
These users also have shown a dysfunctional stress response, mainly mediated through the
hypothalamus–pituitary–adrenal axis [
122
] in a way that mirror those alterations seen in substance
addicts. These alterations may be the result of epigenetic changes on classic inflammatory mediators
driving addictions, like corticotropin-releasing-factor (CRF) [
123
]. This epigenetic regulation
hypothesis considers both hedonic and anhedonic behavioral outcomes are at least partially affected by
dopaminergic genes, and possibly other candidate neurotransmitter-related gene polymorphisms [
124
].
There is also evidence of higher tumor necrosis factor (TNF) in sex addicts, with a strong correlation
between TNF levels and high scores in hypersexuality rating scales [125].
3.5. Neuropsychological Evidence
In regard to the manifestations of these alterations in sexual behavior, most neuropsychological
studies show some kind of indirect or direct consequence in executive function [
126
,
127
], possibly as a
consequence of prefrontal cortex alterations [
128
]. When applied to online pornography, it contributes
to its development and maintenance [129,130].
The specifics of this poorer executive functioning include: impulsivity [
131
,
132
], cognitive
rigidity that impedes learning processes or the ability to shift attention [
120
,
133
,
134
], poor judgment
and decision making [
130
,
135
], interference of working memory capacity [
130
], deficits in
emotion regulation, and excessive preoccupation with sex [
136
]. These findings are reminiscent
of other behavioral addictions (such as pathological gambling) and the behavior in substance
dependencies [
137
]. Some studies directly contradict these findings [
58
], but there may be some
limitations in methodology (for example, small sample size).
Approaching the factors that play a role in the development of hypersexual behavior and cybersex,
there are a number of them. We can think of cue-reactivity, positive reinforcement and associative
learning [
104
,
109
,
136
,
138
,
139
] as the core mechanisms of porn addiction development. However,
there may be factors of underlying vulnerability [
140
], like: (1) the role of sexual gratification and
dysfunctional coping in some predisposed individuals [
40
,
141
143
] whether it is a consequence of trait
impulsivity [144,145] or state impulsivity [146], and (2) approach/avoidance tendencies [147149].
3.6. Prognosis
Most of the studies referenced use subjects with a long-term exposure to online
pornography
[34,81,113,114]
, so its clinical manifestations appear to be a direct and proportional
consequence of engaging in this maladaptive behavior. We mentioned difficulty in obtaining
controls to establish causation, but some case reports suggest that reducing or abandoning this
behavior may cause improvement in pornography-induced sexual dysfunction and psychosexual
J. Clin. Med. 2019,8, 91 10 of 20
dissatisfaction [
79
,
80
] and even full recovery; this would imply that the previously mentioned brain
alterations are somewhat reversible.
3.7. Assessment Tools
Several screening instruments exist for addressing CSB and POPU. They all rely on the responder’s
honesty and integrity; perhaps even more so than regular psychiatry screening tests, since sexual
practices are the most humbling due to their private nature.
For hypersexuality, there are over 20 screening questionnaires and clinical interviews. Some of
the most notable include the Sexual Addiction Screening Test (SAST) proposed by Carnes [
150
], and its
later revised version SAST-R [
151
], the Compulsive Sexual Behavior Inventory (CSBI) [
152
,
153
] and the
Hypersexual Disorder Screening Inventory (HDSI) [
154
]. The HDSI was originally used for the clinical
screening of the DSM-5 field proposal of hypersexual disorder. While further explorations of the
empirical implications regarding criteria and the refinements of cutoff scores are needed, it currently
holds the strongest psychometric support and is the best valid instrument in measuring hypersexual
disorder [151].
As for online pornography, the most used screening tool is the Internet Sex-screening
test (ISST) [
155
]. It assesses five distinct dimensions (online sexual compulsivity, online sexual
behavior-social, online sexual behavior-isolated, online sexual spending and interest in online sexual
behavior) through 25 dichotomic (yes/no) questions. However, its psychometric properties haven only
been mildly analyzed, with a more robust validation in Spanish [
156
] that has served as a blueprint for
posterior studies [157].
Other notable instruments are the problematic pornography use scale (PPUS) [
158
] which
measures four facets of POPU (including: distress and functional problems, excessive use, control
difficulties and use for escape/avoidance of negative emotions), the short internet addiction test
adapted to online sexual activities (s-IAT-sex) [
159
], a 12-item questionnaire measuring two dimensions
of POPU, and the cyber-pornography use inventory (CPUI-9) [160].
The CPUI-9 evaluates three dimensions: (1) access efforts, (2) perceived compulsivity, and
(3) emotional distress. At first considered to have convincing psychometric properties [
9
], this inventory
has more recently proved to be unreliable: the inclusion of the “emotional distress” dimension address
levels of shame and guilt, which do not belong in an addiction assessment and thus skews the scores
upward [
161
]. Applying the inventory without this dimension appears to accurately reflect to some
extent compulsive pornography use.
One of the most recent is the pornographic problematic consumption scale (PPCS) [
162
], based on
Griffith six-component addiction model [
163
], though it does not measure addiction, only problematic
use of pornography with strong psychometric properties.
Other measures of POPU that are not designed to measure online pornography use but have
been validated using online pornography users [
9
], include the Pornography Consumption Inventory
(PCI) [
164
,
165
], the Compulsive Pornography Consumption Scale (CPCS) [
166
] and the Pornography
Craving Questionnaire (PCQ) [
167
] which can assess contextual triggers among different types of
pornography user.
There are also tools for assessing pornography users’ readiness to abandon the behavior
through self-initiated strategies [
168
] and an assessment of treatment outcome in doing so [
169
],
identifying in particular three potential relapse motivations: (a) sexual arousal/boredom/opportunity,
(b) intoxication/locations/easy access, and (c) negative emotions.
3.8. Treatment
Given that still many questions remain regarding the conceptualization, assessment, and causes
of hypersexual behavior and POPU, there have been relatively few attempts to research possible
treatment options. In published studies, sample sizes are usually small and too homogeneous, clinical
controls are lacking, and the research methods are scattered, unverifiable, and not replicable [170].
J. Clin. Med. 2019,8, 91 11 of 20
Usually, combining psychosocial, cognitive–behavioral, psychodynamic, and pharmacologic
methods is considered most efficient in treatment of sexual addiction, but this non-specific approach
reflects the lack of knowledge about the subject [9].
3.8.1. Pharmacological Approaches
The studies have centered on paroxetine and naltrexone thus far. One case series involving
paroxetine on POPU helped to decrease the anxiety levels, but eventually failed to reduce the behavior
by itself [
171
]. Additionally, using SSRIs to create sexual dysfunction through their side effects is
apparently not effective, and according to clinical experience are useful only in patients with comorbid
psychiatric disorders [172].
Four case reports involving naltrexone to treat POPU have been described. Previous findings have
suggested that naltrexone could be a potential treatment for behavioral addictions and hypersexual
disorder [
173
,
174
], theoretically reducing cravings and urges by blocking the euphoria associated with
the behavior. While there is not yet a randomized controlled trial with naltrexone in these subjects,
there are four case reports. Results obtained in reducing pornography use varied from good [
175
177
]
to moderate [
178
]; at least in one of them the patient also received sertraline, so it is unclear how much
can be attributed to naltrexone [176].
3.8.2. Psychotherapeutic Approaches
Undoubtedly, psychotherapy can be an important tool in fully comprehending and changing a
behavior. While cognitive-behavioral therapy (CBT) is considered by many clinicians to be useful in
treating hypersexual disorder [
179
], a study that involved problematic online pornography users failed
to achieve a reduction of the behavior [
180
], even if the severity of comorbid depressive symptoms
and general quality of life was improved. This brings up the interest notion that merely reducing
pornography use may not represent the most important treatment goal [
170
]. Other approaches using
CBT to treat POPU have been made, but reoccurring methodological problems in this area prevent us
from extracting reliable conclusions [181,182].
Psychodynamic psychotherapy and others like family therapy, couples’ therapy, and psychosocial
treatments modeled after 12 step programs may prove vital when addressing themes of shame and
guilt and restoring trust among the users’ closest relationships [
170
,
172
]. The only randomized
controlled trial that exists with problematic online pornography users focuses on Acceptance and
Commitment Therapy (ACT) [
183
], an improvement from their 2010 case series [
184
], which was the
first experimental study to specifically address POPU. The study showed effective results but it is hard
to extrapolate since the sample was again too small and focused on a very specific population.
The reported success with CBT, conjoint therapy and ACT might rely on the fact that are based
on mindfulness and acceptance frameworks; depending on the context, increasing pornography use
acceptance may be equally or more important than reducing its use [170].
4. Discussion
It seems that POPU is not only one subtype of hypersexual disorder, but currently the most
prevalent since it also frequently involves masturbation. Although this is difficult to accurately
determine given the anonymity and accessibility factors that make pornography use today so pervasive,
we can at least confirm that the patron of consumption for pornography has changed for roughly the
last decade. It would not be absurd to assume its online variant has had a significant impact on its
consumers, and that the triple A factors enhance the potential risk for POPU and other sexual behaviors.
As we mentioned, anonymity is a key risk factor for this sexual behavior to develop into a problem.
We need to keep in mind that statistics regarding this problem are obviously limited to people of legal
age to engage in sexual activity, online or otherwise; but it does not escape us that sexual activity
rarely starts after this threshold, and there is a likely chance that minors still in the process of sexual
neurodevelopment are a particularly vulnerable population. The truth is that a stronger consensus
J. Clin. Med. 2019,8, 91 12 of 20
on what pathological sexual behavior constitutes, both offline and online, is necessary to adequately
measure it in a representative manner and confirm how much of a problem it is in today’s society.
As far as we know, a number of recent studies support this entity as an addiction with important
clinical manifestations such as sexual dysfunction and psychosexual dissatisfaction. Most of the
existing work is based off on similar research done on substance addicts, based on the hypothesis of
online pornography as a ‘supranormal stimulus’ akin to an actual substance that, through continued
consumption, can spark an addictive disorder. However, concepts like tolerance and abstinence are
not yet clearly established enough to merit the labeling of addiction, and thus constitute a crucial part
of future research. For the moment, a diagnostic entity encompassing out of control sexual behavior
has been included in the ICD-11 due to its current clinical relevance, and it will surely be of use to
address patients with these symptoms that ask clinicians for help.
A variety of assessment tools exist to help the average clinician with diagnostic approaches,
but delimiting what is truly pathological and not in accurate manner is still an ongoing problem.
So far, a crucial part of the three sets of criteria proposed by Carnes, Goodman, and Kafka include core
concepts of loss of control, excessive time spent on sexual behavior and negative consequences to self
and others. In some manner or other, they are also present in the majority of screening tools reviewed.
They may be an adequate structure in which to build upon. Other elements, that are considered
with varying degrees of importance, probably signal us to take individual factors into account. Devising
an assessment tool that retains some level of flexibility while also being significant for determining
what is problematic is surely another of the current challenges that we face, and will probably go in
hand with further neurobiological research that help us better understand when a specific dimension
of common human life shifts from normal behavior to a disorder.
As for treatment strategies, the main goal currently focuses on reducing pornography
consumption or abandoning it altogether, since clinical manifestations appear to be reversible. The way
to achieve this varies accordingly to the patient and might also require some individual flexibility in
the strategies utilized, with a mindfulness and acceptance-based psychotherapy being equally or more
important than a pharmacological approach in some cases.
Funding: This research received no external funding.
Conflicts of Interest:
Rubén de Alarcón, Javier I. de la Iglesia, and Nerea M. Casado declare no conflict of interest.
A.L. Montejo has received consultancy fees or honoraria/research grants in the last five years from Boehringer
Ingelheim, Forum Pharmaceuticals, Rovi, Servier, Lundbeck, Otsuka, Janssen Cilag, Pfizer, Roche, Instituto de
Salud Carlos III, and Junta de Castilla y León.
References
1.
American Psychiatry Association. Manual Diagnóstico y Estadístico de los Trastornos Mentales, 5th ed.;
Panamericana: Madrid, España, 2014; pp. 585–589. ISBN 978-84-9835-810-0.
2.
Love, T.; Laier, C.; Brand, M.; Hatch, L.; Hajela, R. Neuroscience of Internet Pornography Addiction: A
Review and Update. Behav. Sci. (Basel) 2015,5, 388–433. [CrossRef] [PubMed]
3.
Elmquist, J.; Shorey, R.C.; Anderson, S.; Stuart, G.L. A preliminary investigation of the relationship
between early maladaptive schemas and compulsive sexual behaviors in a substance-dependent population.
J. Subst. Use 2016,21, 349–354. [CrossRef] [PubMed]
4.
Chamberlain, S.R.; Lochner, C.; Stein, D.J.; Goudriaan, A.E.; van Holst, R.J.; Zohar, J.; Grant, J.E. Behavioural
addiction-A rising tide? Eur. Neuropsychopharmacol. 2016,26, 841–855. [CrossRef] [PubMed]
5.
Blum, K.; Badgaiyan, R.D.; Gold, M.S. Hypersexuality Addiction and Withdrawal: Phenomenology,
Neurogenetics and Epigenetics. Cureus 2015,7, e348. [CrossRef] [PubMed]
6.
Duffy, A.; Dawson, D.L.; Nair, R. das Pornography Addiction in Adults: A Systematic Review of Definitions
and Reported Impact. J. Sex. Med. 2016,13, 760–777. [CrossRef] [PubMed]
7.
Karila, L.; Wéry, A.; Weinstein, A.; Cottencin, O.; Petit, A.; Reynaud, M.; Billieux, J. Sexual addiction or
hypersexual disorder: Different terms for the same problem? A review of the literature. Curr. Pharm. Des.
2014,20, 4012–4020. [CrossRef] [PubMed]
J. Clin. Med. 2019,8, 91 13 of 20
8.
Voon, V.; Mole, T.B.; Banca, P.; Porter, L.; Morris, L.; Mitchell, S.; Lapa, T.R.; Karr, J.; Harrison, N.A.;
Potenza, M.N.; et al. Neural correlates of sexual cue reactivity in individuals with and without compulsive
sexual behaviours. PLoS ONE 2014,9, e102419. [CrossRef]
9.
Wéry, A.; Billieux, J. Problematic cybersex: Conceptualization, assessment, and treatment. Addict. Behav.
2017,64, 238–246. [CrossRef]
10. Garcia, F.D.; Thibaut, F. Sexual addictions. Am. J. Drug Alcohol Abuse 2010,36, 254–260. [CrossRef]
11.
Davis, R.A. A cognitive-behavioral model of pathological Internet use. Comput. Hum. Behav.
2001
,17, 187–195.
[CrossRef]
12.
Ioannidis, K.; Treder, M.S.; Chamberlain, S.R.; Kiraly, F.; Redden, S.A.; Stein, D.J.; Lochner, C.; Grant, J.E.
Problematic internet use as an age-related multifaceted problem: Evidence from a two-site survey.
Addict. Behav. 2018,81, 157–166. [CrossRef] [PubMed]
13.
Cooper, A.; Delmonico, D.L.; Griffin-Shelley, E.; Mathy, R.M. Online Sexual Activity: An Examination of
Potentially Problematic Behaviors. Sex. Addict. Compuls. 2004,11, 129–143. [CrossRef]
14.
Döring, N.M. The internet’s impact on sexuality: A critical review of 15 years of research. Comput. Hum. Behav.
2009,25, 1089–1101. [CrossRef]
15.
Fisher, W.A.; Barak, A. Internet Pornography: A Social Psychological Perspective on Internet Sexuality.
J. Sex. Res. 2001,38, 312–323. [CrossRef]
16.
Janssen, E.; Carpenter, D.; Graham, C.A. Selecting films for sex research: Gender differences in erotic film
preference. Arch. Sex. Behav. 2003,32, 243–251. [CrossRef] [PubMed]
17.
Ross, M.W.; Månsson, S.-A.; Daneback, K. Prevalence, severity, and correlates of problematic sexual Internet
use in Swedish men and women. Arch. Sex. Behav. 2012,41, 459–466. [CrossRef] [PubMed]
18.
Riemersma, J.; Sytsma, M. A New Generation of Sexual Addiction. Sex. Addict. Compuls.
2013
,20, 306–322.
[CrossRef]
19.
Beyens, I.; Eggermont, S. Prevalence and Predictors of Text-Based and Visually Explicit Cybersex among
Adolescents. Young 2014,22, 43–65. [CrossRef]
20.
Rosenberg, H.; Kraus, S. The relationship of “passionate attachment” for pornography with sexual
compulsivity, frequency of use, and craving for pornography. Addict. Behav.
2014
,39, 1012–1017. [CrossRef]
21. Keane, H. Technological change and sexual disorder. Addiction 2016,111, 2108–2109. [CrossRef]
22.
Cooper, A. Sexuality and the Internet: Surfing into the New Millennium. CyberPsychol. Behav.
1998
,1, 187–193.
[CrossRef]
23.
Cooper, A.; Scherer, C.R.; Boies, S.C.; Gordon, B.L. Sexuality on the Internet: From sexual exploration to
pathological expression. Prof. Psychol. Res. Pract. 1999,30, 154–164. [CrossRef]
24.
Harper, C.; Hodgins, D.C. Examining Correlates of Problematic Internet Pornography Use Among University
Students. J. Behav. Addict. 2016,5, 179–191. [CrossRef] [PubMed]
25.
Pornhub Insights: 2017 Year in Review. Available online: https://www.pornhub.com/insights/2017-year-
in-review (accessed on 15 April 2018).
26.
Litras, A.; Latreille, S.; Temple-Smith, M. Dr Google, porn and friend-of-a-friend: Where are young men
really getting their sexual health information? Sex. Health 2015,12, 488–494. [CrossRef] [PubMed]
27.
Zimbardo, P.; Wilson, G.; Coulombe, N. How Porn Is Messing with Your Manhood. Available online:
https://www.skeptic.com/reading_room/how-porn-is-messing-with-your-manhood/ (accessed on 25
March 2018).
28.
Pizzol, D.; Bertoldo, A.; Foresta, C. Adolescents and web porn: A new era of sexuality. Int. J. Adolesc.
Med. Health 2016,28, 169–173. [CrossRef] [PubMed]
29.
Prins, J.; Blanker, M.H.; Bohnen, A.M.; Thomas, S.; Bosch, J.L.H.R. Prevalence of erectile dysfunction: A
systematic review of population-based studies. Int. J. Impot. Res. 2002,14, 422–432. [CrossRef] [PubMed]
30.
Mialon, A.; Berchtold, A.; Michaud, P.-A.; Gmel, G.; Suris, J.-C. Sexual dysfunctions among young men:
Prevalence and associated factors. J. Adolesc. Health 2012,51, 25–31. [CrossRef]
31.
O’Sullivan, L.F.; Brotto, L.A.; Byers, E.S.; Majerovich, J.A.; Wuest, J.A. Prevalence and characteristics of
sexual functioning among sexually experienced middle to late adolescents. J. Sex. Med.
2014
,11, 630–641.
[CrossRef]
32.
Wilcox, S.L.; Redmond, S.; Hassan, A.M. Sexual functioning in military personnel: Preliminary estimates
and predictors. J. Sex. Med. 2014,11, 2537–2545. [CrossRef]
J. Clin. Med. 2019,8, 91 14 of 20
33.
Landripet, I.; Štulhofer, A. Is Pornography Use Associated with Sexual Difficulties and Dysfunctions among
Younger Heterosexual Men? J. Sex. Med. 2015,12, 1136–1139. [CrossRef]
34.
Wright, P.J. U.S. males and pornography, 1973–2010: Consumption, predictors, correlates. J. Sex. Res.
2013
,
50, 60–71. [CrossRef] [PubMed]
35.
Price, J.; Patterson, R.; Regnerus, M.; Walley, J. How Much More XXX is Generation X Consuming? Evidence
of Changing Attitudes and Behaviors Related to Pornography Since 1973. J. Sex Res.
2015
,53, 1–9. [CrossRef]
[PubMed]
36.
Najavits, L.; Lung, J.; Froias, A.; Paull, N.; Bailey, G. A study of multiple behavioral addictions in a substance
abuse sample. Subst. Use Misuse 2014,49, 479–484. [CrossRef] [PubMed]
37. Ballester-Arnal, R.; Castro Calvo, J.; Gil-Llario, M.D.; Gil-Julia, B. Cybersex Addiction: A Study on Spanish
College Students. J. Sex. Marital Ther. 2017,43, 567–585. [CrossRef] [PubMed]
38.
Rissel, C.; Richters, J.; de Visser, R.O.; McKee, A.; Yeung, A.; Caruana, T. A Profile of Pornography Users
in Australia: Findings From the Second Australian Study of Health and Relationships. J. Sex. Res.
2017
,
54, 227–240. [CrossRef] [PubMed]
39.
Skegg, K.; Nada-Raja, S.; Dickson, N.; Paul, C. Perceived “Out of Control” Sexual Behavior in a Cohort of
Young Adults from the Dunedin Multidisciplinary Health and Development Study. Arch. Sex. Behav.
2010
,
39, 968–978. [CrossRef] [PubMed]
40.
Štulhofer, A.; Jurin, T.; Briken, P. Is High Sexual Desire a Facet of Male Hypersexuality? Results from an
Online Study. J. Sex. Marital Ther. 2016,42, 665–680. [CrossRef]
41.
Frangos, C.C.; Frangos, C.C.; Sotiropoulos, I. Problematic Internet Use among Greek university students: An
ordinal logistic regression with risk factors of negative psychological beliefs, pornographic sites, and online
games. Cyberpsychol. Behav. Soc. Netw. 2011,14, 51–58. [CrossRef]
42.
Farré, J.M.; Fernández-Aranda, F.; Granero, R.; Aragay, N.; Mallorquí-Bague, N.; Ferrer, V.; More, A.;
Bouman, W.P.; Arcelus, J.; Savvidou, L.G.; et al. Sex addiction and gambling disorder: Similarities and
differences. Compr. Psychiatry 2015,56, 59–68. [CrossRef]
43.
Kafka, M.P. Hypersexual disorder: A proposed diagnosis for DSM-V. Arch. Sex. Behav.
2010
,39, 377–400.
[CrossRef]
44.
Kaplan, M.S.; Krueger, R.B. Diagnosis, assessment, and treatment of hypersexuality. J. Sex. Res.
2010
,
47, 181–198. [CrossRef] [PubMed]
45.
Reid, R.C. Additional challenges and issues in classifying compulsive sexual behavior as an addiction.
Addiction 2016,111, 2111–2113. [CrossRef] [PubMed]
46.
Gola, M.; Lewczuk, K.; Skorko, M. What Matters: Quantity or Quality of Pornography Use? Psychological
and Behavioral Factors of Seeking Treatment for Problematic Pornography Use. J. Sex. Med.
2016
,13, 815–824.
[CrossRef] [PubMed]
47.
Reid, R.C.; Carpenter, B.N.; Hook, J.N.; Garos, S.; Manning, J.C.; Gilliland, R.; Cooper, E.B.; McKittrick, H.;
Davtian, M.; Fong, T. Report of findings in a DSM-5 field trial for hypersexual disorder. J. Sex. Med.
2012
,
9, 2868–2877. [CrossRef] [PubMed]
48.
Bancroft, J.; Vukadinovic, Z. Sexual addiction, sexual compulsivity, sexual impulsivity, or what? Toward a
theoretical model. J. Sex. Res. 2004,41, 225–234. [CrossRef]
49.
Bancroft, J. Sexual behavior that is “out of control”: A theoretical conceptual approach. Psychiatr. Clin. N. Am.
2008,31, 593–601. [CrossRef]
50.
Stein, D.J.; Black, D.W.; Pienaar, W. Sexual disorders not otherwise specified: Compulsive, addictive, or
impulsive? CNS Spectr. 2000,5, 60–64. [CrossRef]
51.
Kafka, M.P.; Prentky, R.A. Compulsive sexual behavior characteristics. Am. J. Psychiatry
1997
,154, 1632.
[CrossRef]
52. Kafka, M.P. What happened to hypersexual disorder? Arch. Sex. Behav. 2014,43, 1259–1261. [CrossRef]
53.
Krueger, R.B. Diagnosis of hypersexual or compulsive sexual behavior can be made using ICD-10 and DSM-5
despite rejection of this diagnosis by the American Psychiatric Association. Addiction
2016
,111, 2110–2111.
[CrossRef]
54.
Reid, R.; Kafka, M. Controversies about Hypersexual Disorder and the DSM-5. Curr. Sex. Health Rep.
2014
,
6, 259–264. [CrossRef]
55.
Kor, A.; Fogel, Y.; Reid, R.C.; Potenza, M.N. Should Hypersexual Disorder be Classified as an Addiction?
Sex. Addict. Compuls. 2013,20, 27–47. [CrossRef]
J. Clin. Med. 2019,8, 91 15 of 20
56.
Coleman, E. Is Your Patient Suffering from Compulsive Sexual Behavior? Psychiatr. Ann.
1992
,22, 320–325.
[CrossRef]
57.
Coleman, E.; Raymond, N.; McBean, A. Assessment and treatment of compulsive sexual behavior. Minn. Med.
2003,86, 42–47. [PubMed]
58.
Kafka, M.P.; Prentky, R. A comparative study of nonparaphilic sexual addictions and paraphilias in men.
J. Clin. Psychiatry 1992,53, 345–350. [PubMed]
59.
Derbyshire, K.L.; Grant, J.E. Compulsive sexual behavior: A review of the literature. J. Behav. Addict.
2015
,
4, 37–43. [CrossRef] [PubMed]
60.
Kafka, M.P.; Hennen, J. The paraphilia-related disorders: An empirical investigation of nonparaphilic
hypersexuality disorders in outpatient males. J. Sex. Marital Ther. 1999,25, 305–319. [CrossRef]
61.
Stein, D.J. Classifying hypersexual disorders: Compulsive, impulsive, and addictive models. Psychiatr. Clin.
N. Am. 2008,31, 587–591. [CrossRef]
62.
Lochner, C.; Stein, D.J. Does work on obsessive-compulsive spectrum disorders contribute to understanding
the heterogeneity of obsessive-compulsive disorder? Prog. Neuropsychopharmacol. Biol. Psychiatry
2006
,
30, 353–361. [CrossRef]
63.
Barth, R.J.; Kinder, B.N. The mislabeling of sexual impulsivity. J. Sex. Marital Ther.
1987
,13, 15–23. [CrossRef]
64.
Stein, D.J.; Chamberlain, S.R.; Fineberg, N. An A-B-C model of habit disorders: Hair-pulling, skin-picking,
and other stereotypic conditions. CNS Spectr. 2006,11, 824–827. [CrossRef] [PubMed]
65.
Goodman, A. Addictive Disorders: An Integrated Approach: Part One-An Integrated Understanding.
J. Minist. Addict. Recover. 1995,2, 33–76. [CrossRef]
66.
Carnes, P.J. Sexual addiction and compulsion: Recognition, treatment, and recovery. CNS Spectr.
2000
,
5, 63–72. [CrossRef] [PubMed]
67.
Potenza, M.N. The neurobiology of pathological gambling and drug addiction: An overview and new
findings. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2008,363, 3181–3189. [CrossRef] [PubMed]
68.
Orzack, M.H.; Ross, C.J. Should Virtual Sex Be Treated Like Other Sex Addictions? Sex. Addict. Compuls.
2000,7, 113–125. [CrossRef]
69.
Zitzman, S.T.; Butler, M.H. Wives’ Experience of Husbands’ Pornography Use and Concomitant Deception
as an Attachment Threat in the Adult Pair-Bond Relationship. Sex. Addict. Compuls.
2009
,16, 210–240.
[CrossRef]
70.
Rosenberg, K.P.; O’Connor, S.; Carnes, P. Chapter 9—Sex Addiction: An Overview
. In Behavioral
Addictions; Rosenberg, K.P., Feder, L.C., Eds.; Academic Press: San Diego, CA, USA, 2014; pp. 215–236,
ISBN 978-0-12-407724-9.
71.
Kraus, S.W.; Voon, V.; Kor, A.; Potenza, M.N. Searching for clarity in muddy water: Future considerations for
classifying compulsive sexual behavior as an addiction. Addiction 2016,111, 2113–2114. [CrossRef]
72.
Grant, J.E.; Chamberlain, S.R. Expanding the definition of addiction: DSM-5 vs. ICD-11. CNS Spectr.
2016
,
21, 300–303. [CrossRef]
73.
Wéry, A.; Karila, L.; De Sutter, P.; Billieux, J. Conceptualisation, évaluation et traitement de la dépendance
cybersexuelle: Une revue de la littérature. Can. Psychol. 2014,55, 266–281. [CrossRef]
74.
Chaney, M.P.; Dew, B.J. Online Experiences of Sexually Compulsive Men Who Have Sex with Men.
Sex. Addict. Compuls. 2003,10, 259–274. [CrossRef]
75.
Schimmenti, A.; Caretti, V. Psychic retreats or psychic pits? Unbearable states of mind and technological
addiction. Psychoanal. Psychol. 2010,27, 115–132. [CrossRef]
76. Griffiths, M.D. Internet sex addiction: A review of empirical research. Addict. Res. Theory 2012,20, 111–124.
[CrossRef]
77.
Navarro-Cremades, F.; Simonelli, C.; Montejo, A.L. Sexual disorders beyond DSM-5: The unfinished affaire.
Curr. Opin. Psychiatry 2017,30, 417–422. [CrossRef]
78.
Kraus, S.W.; Krueger, R.B.; Briken, P.; First, M.B.; Stein, D.J.; Kaplan, M.S.; Voon, V.; Abdo, C.H.N.; Grant, J.E.;
Atalla, E.; et al. Compulsive sexual behaviour disorder in the ICD-11. World Psychiatry
2018
,17, 109–110.
[CrossRef]
79.
Hyman, S.E.; Andrews, G.; Ayuso-Mateos, J.L.; Gaebel, W.; Goldberg, D.; Gureje, O.; Jablensky, A.; Khoury, B.;
Lovell, A.; Medina Mora, M.E.; et al. A conceptual framework for the revision of the ICD-10 classification of
mental and behavioural disorders. World Psychiatry 2011,10, 86–92.
J. Clin. Med. 2019,8, 91 16 of 20
80.
Park, B.Y.; Wilson, G.; Berger, J.; Christman, M.; Reina, B.; Bishop, F.; Klam, W.P.; Doan, A.P. Is Internet
Pornography Causing Sexual Dysfunctions? A Review with Clinical Reports. Behav. Sci. (Basel)
2016
,6, 17.
[CrossRef] [PubMed]
81.
Wilson, G. Eliminate Chronic Internet Pornography Use to Reveal Its Effects. Addicta Turkish J. Addict.
2016
,
3, 209–221. [CrossRef]
82.
Blais-Lecours, S.; Vaillancourt-Morel, M.-P.; Sabourin, S.; Godbout, N. Cyberpornography: Time Use,
Perceived Addiction, Sexual Functioning, and Sexual Satisfaction. Cyberpsychol. Behav. Soc. Netw.
2016
,
19, 649–655. [CrossRef] [PubMed]
83.
Albright, J.M. Sex in America online: An exploration of sex, marital status, and sexual identity in internet
sex seeking and its impacts. J. Sex. Res. 2008,45, 175–186. [CrossRef] [PubMed]
84.
Minarcik, J.; Wetterneck, C.T.; Short, M.B. The effects of sexually explicit material use on romantic relationship
dynamics. J. Behav. Addict. 2016,5, 700–707. [CrossRef]
85.
Pyle, T.M.; Bridges, A.J. Perceptions of relationship satisfaction and addictive behavior: Comparing
pornography and marijuana use. J. Behav. Addict. 2012,1, 171–179. [CrossRef] [PubMed]
86.
French, I.M.; Hamilton, L.D. Male-Centric and Female-Centric Pornography Consumption: Relationship
With Sex Life and Attitudes in Young Adults. J. Sex. Marital Ther. 2018,44, 73–86. [CrossRef] [PubMed]
87.
Starcevic, V.; Khazaal, Y. Relationships between Behavioural Addictions and Psychiatric Disorders: What Is
Known and What Is Yet to Be Learned? Front. Psychiatry 2017,8, 53. [CrossRef] [PubMed]
88.
Mitra, M.; Rath, P. Effect of internet on the psychosomatic health of adolescent school children in Rourkela—A
cross-sectional study. Indian J. Child Health 2017,4, 289–293.
89.
Voss, A.; Cash, H.; Hurdiss, S.; Bishop, F.; Klam, W.P.; Doan, A.P. Case Report: Internet Gaming Disorder
Associated With Pornography Use. Yale J. Biol. Med. 2015,88, 319–324.
90.
Stockdale, L.; Coyne, S.M. Video game addiction in emerging adulthood: Cross-sectional evidence of
pathology in video game addicts as compared to matched healthy controls. J. Affect. Disord.
2018
,
225, 265–272. [CrossRef]
91.
Grubbs, J.B.; Wilt, J.A.; Exline, J.J.; Pargament, K.I. Predicting pornography use over time: Does self-reported
“addiction” matter? Addict. Behav. 2018,82, 57–64. [CrossRef]
92.
Vilas, D.; Pont-Sunyer, C.; Tolosa, E. Impulse control disorders in Parkinson’s disease. Parkinsonism Relat.
Disord. 2012,18, S80–S84. [CrossRef]
93.
Poletti, M.; Bonuccelli, U. Impulse control disorders in Parkinson’s disease: The role of personality and
cognitive status. J. Neurol. 2012,259, 2269–2277. [CrossRef]
94.
Hilton, D.L. Pornography addiction—A supranormal stimulus considered in the context of neuroplasticity.
Socioaffect. Neurosci. Psychol. 2013,3, 20767. [CrossRef]
95.
Volkow, N.D.; Koob, G.F.; McLellan, A.T. Neurobiologic Advances from the Brain Disease Model of Addiction.
N. Engl. J. Med. 2016,374, 363–371. [CrossRef] [PubMed]
96.
Vanderschuren, L.J.M.J.; Pierce, R.C. Sensitization processes in drug addiction. Curr. Top. Behav. Neurosci.
2010,3, 179–195. [CrossRef] [PubMed]
97.
Volkow, N.D.; Wang, G.-J.; Fowler, J.S.; Tomasi, D.; Telang, F.; Baler, R. Addiction: Decreased reward
sensitivity and increased expectation sensitivity conspire to overwhelm the brain’s control circuit. Bioessays
2010,32, 748–755. [CrossRef]
98.
Goldstein, R.Z.; Volkow, N.D. Dysfunction of the prefrontal cortex in addiction: Neuroimaging findings and
clinical implications. Nat. Rev. Neurosci. 2011,12, 652–669. [CrossRef]
99.
Koob, G.F. Addiction is a Reward Deficit and Stress Surfeit Disorder. Front. Psychiatry
2013
,4, 72. [CrossRef]
[PubMed]
100.
Mechelmans, D.J.; Irvine, M.; Banca, P.; Porter, L.; Mitchell, S.; Mole, T.B.; Lapa, T.R.; Harrison, N.A.;
Potenza, M.N.; Voon, V. Enhanced attentional bias towards sexually explicit cues in individuals with and
without compulsive sexual behaviours. PLoS ONE 2014,9, e105476. [CrossRef] [PubMed]
101.
Seok, J.-W.; Sohn, J.-H. Neural Substrates of Sexual Desire in Individuals with Problematic Hypersexual
Behavior. Front. Behav. Neurosci. 2015,9, 321. [CrossRef] [PubMed]
102.
Hamann, S. Sex differences in the responses of the human amygdala. Neuroscientist
2005
,11, 288–293.
[CrossRef]
J. Clin. Med. 2019,8, 91 17 of 20
103.
Klucken, T.; Wehrum-Osinsky, S.; Schweckendiek, J.; Kruse, O.; Stark, R. Altered Appetitive Conditioning
and Neural Connectivity in Subjects with Compulsive Sexual Behavior. J. Sex. Med.
2016
,13, 627–636.
[CrossRef]
104.
Sescousse, G.; Caldú, X.; Segura, B.; Dreher, J.-C. Processing of primary and secondary rewards: A
quantitative meta-analysis and review of human functional neuroimaging studies. Neurosci. Biobehav. Rev.
2013,37, 681–696. [CrossRef]
105.
Steele, V.R.; Staley, C.; Fong, T.; Prause, N. Sexual desire, not hypersexuality, is related to neurophysiological
responses elicited by sexual images. Socioaffect. Neurosci. Psychol. 2013,3, 20770. [CrossRef] [PubMed]
106.
Hilton, D.L. ‘High desire’, or ‘merely’ an addiction? A response to Steele et al. Socioaffect. Neurosci. Psychol.
2014,4. [CrossRef] [PubMed]
107.
Prause, N.; Steele, V.R.; Staley, C.; Sabatinelli, D.; Hajcak, G. Modulation of late positive potentials by sexual
images in problem users and controls inconsistent with “porn addiction”. Biol. Psychol.
2015
,109, 192–199.
[CrossRef] [PubMed]
108.
Laier, C.; Pekal, J.; Brand, M. Cybersex addiction in heterosexual female users of internet pornography can
be explained by gratification hypothesis. Cyberpsychol. Behav. Soc. Netw.
2014
,17, 505–511. [CrossRef]
[PubMed]
109.
Laier, C.; Pekal, J.; Brand, M. Sexual Excitability and Dysfunctional Coping Determine Cybersex Addiction
in Homosexual Males. Cyberpsychol. Behav. Soc. Netw. 2015,18, 575–580. [CrossRef] [PubMed]
110.
Stark, R.; Klucken, T. Neuroscientific Approaches to (Online) Pornography Addiction. In Internet Addiction;
Studies in Neuroscience, Psychology and Behavioral Economics; Springer: Cham, Switzerland, 2017;
pp. 109–124, ISBN 978-3-319-46275-2.
111. Albery, I.P.; Lowry, J.; Frings, D.; Johnson, H.L.; Hogan, C.; Moss, A.C. Exploring the Relationship between
Sexual Compulsivity and Attentional Bias to Sex-Related Words in a Cohort of Sexually Active Individuals.
Eur. Addict. Res. 2017,23, 1–6. [CrossRef] [PubMed]
112.
Kunaharan, S.; Halpin, S.; Sitharthan, T.; Bosshard, S.; Walla, P. Conscious and Non-Conscious Measures of
Emotion: Do They Vary with Frequency of Pornography Use? Appl. Sci. 2017,7, 493. [CrossRef]
113.
Kühn, S.; Gallinat, J. Brain Structure and Functional Connectivity Associated with Pornography
Consumption: The Brain on Porn. JAMA Psychiatry 2014,71, 827–834. [CrossRef]
114.
Banca, P.; Morris, L.S.; Mitchell, S.; Harrison, N.A.; Potenza, M.N.; Voon, V. Novelty, conditioning and
attentional bias to sexual rewards. J. Psychiatr. Res. 2016,72, 91–101. [CrossRef]
115.
Banca, P.; Harrison, N.A.; Voon, V. Compulsivity Across the Pathological Misuse of Drug and Non-Drug
Rewards. Front. Behav. Neurosci. 2016,10, 154. [CrossRef]
116.
Gola, M.; Wordecha, M.; Sescousse, G.; Lew-Starowicz, M.; Kossowski, B.; Wypych, M.; Makeig, S.;
Potenza, M.N.; Marchewka, A. Can Pornography be Addictive? An fMRI Study of Men Seeking Treatment
for Problematic Pornography Use. Neuropsychopharmacology 2017,42, 2021–2031. [CrossRef] [PubMed]
117.
Schmidt, C.; Morris, L.S.; Kvamme, T.L.; Hall, P.; Birchard, T.; Voon, V. Compulsive sexual behavior:
Prefrontal and limbic volume and interactions. Hum. Brain Mapp.
2017
,38, 1182–1190. [CrossRef] [PubMed]
118.
Brand, M.; Snagowski, J.; Laier, C.; Maderwald, S. Ventral striatum activity when watching preferred
pornographic pictures is correlated with symptoms of Internet pornography addiction. Neuroimage
2016
,
129, 224–232. [CrossRef] [PubMed]
119.
Balodis, I.M.; Potenza, M.N. Anticipatory reward processing in addicted populations: A focus on the
monetary incentive delay task. Biol. Psychiatry 2015,77, 434–444. [CrossRef] [PubMed]
120.
Seok, J.-W.; Sohn, J.-H. Gray matter deficits and altered resting-state connectivity in the superior temporal
gyrus among individuals with problematic hypersexual behavior. Brain Res.
2018
,1684, 30–39. [CrossRef]
[PubMed]
121.
Taki, Y.; Kinomura, S.; Sato, K.; Goto, R.; Inoue, K.; Okada, K.; Ono, S.; Kawashima, R.; Fukuda, H. Both global
gray matter volume and regional gray matter volume negatively correlate with lifetime alcohol intake in
non-alcohol-dependent Japanese men: A volumetric analysis and a voxel-based morphometry. Alcohol. Clin.
Exp. Res. 2006,30, 1045–1050. [CrossRef] [PubMed]
122.
Chatzittofis, A.; Arver, S.; Öberg, K.; Hallberg, J.; Nordström, P.; Jokinen, J. HPA axis dysregulation in men
with hypersexual disorder. Psychoneuroendocrinology 2016,63, 247–253. [CrossRef]
J. Clin. Med. 2019,8, 91 18 of 20
123.
Jokinen, J.; Boström, A.E.; Chatzittofis, A.; Ciuculete, D.M.; Öberg, K.G.; Flanagan, J.N.; Arver, S.; Schiöth, H.B.
Methylation of HPA axis related genes in men with hypersexual disorder. Psychoneuroendocrinology
2017
,
80, 67–73. [CrossRef]
124.
Blum, K.; Werner, T.; Carnes, S.; Carnes, P.; Bowirrat, A.; Giordano, J.; Oscar-Berman, M.; Gold, M.
Sex, drugs, and rock “n” roll: Hypothesizing common mesolimbic activation as a function of reward
gene polymorphisms. J. Psychoact. Drugs 2012,44, 38–55. [CrossRef]
125.
Jokinen, J.; Chatzittofis, A.; Nordstrom, P.; Arver, S. The role of neuroinflammation in the pathophysiology
of hypersexual disorder. Psychoneuroendocrinology 2016,71, 55. [CrossRef]
126.
Reid, R.C.; Karim, R.; McCrory, E.; Carpenter, B.N. Self-reported differences on measures of executive
function and hypersexual behavior in a patient and community sample of men. Int. J. Neurosci.
2010
,
120, 120–127. [CrossRef] [PubMed]
127.
Leppink, E.; Chamberlain, S.; Redden, S.; Grant, J. Problematic sexual behavior in young adults: Associations
across clinical, behavioral, and neurocognitive variables. Psychiatry Res.
2016
,246, 230–235. [CrossRef]
[PubMed]
128.
Kamaruddin, N.; Rahman, A.W.A.; Handiyani, D. Pornography Addiction Detection based on
Neurophysiological Computational Approach. Indones. J. Electr. Eng. Comput. Sci.
2018
,10, 138–145.
[CrossRef]
129.
Brand, M.; Laier, C.; Pawlikowski, M.; Schächtle, U.; Schöler, T.; Altstötter-Gleich, C. Watching pornographic
pictures on the Internet: Role of sexual arousal ratings and psychological-psychiatric symptoms for using
Internet sex sites excessively. Cyberpsychol. Behav. Soc. Netw. 2011,14, 371–377. [CrossRef] [PubMed]
130.
Laier, C.; Schulte, F.P.; Brand, M. Pornographic picture processing interferes with working memory
performance. J. Sex. Res. 2013,50, 642–652. [CrossRef] [PubMed]
131.
Miner, M.H.; Raymond, N.; Mueller, B.A.; Lloyd, M.; Lim, K.O. Preliminary investigation of the impulsive
and neuroanatomical characteristics of compulsive sexual behavior. Psychiatry Res.
2009
,174, 146–151.
[CrossRef] [PubMed]
132.
Cheng, W.; Chiou, W.-B. Exposure to Sexual Stimuli Induces Greater Discounting Leading to Increased
Involvement in Cyber Delinquency Among Men. Cyberpsychol. Behav. Soc. Netw.
2017
,21, 99–104. [CrossRef]
[PubMed]
133.
Messina, B.; Fuentes, D.; Tavares, H.; Abdo, C.H.N.; Scanavino, M.d.T. Executive Functioning of Sexually
Compulsive and Non-Sexually Compulsive Men Before and After Watching an Erotic Video. J. Sex. Med.
2017,14, 347–354. [CrossRef]
134.
Negash, S.; Sheppard, N.V.N.; Lambert, N.M.; Fincham, F.D. Trading Later Rewards for Current Pleasure:
Pornography Consumption and Delay Discounting. J. Sex. Res. 2016,53, 689–700. [CrossRef]
135.
Sirianni, J.M.; Vishwanath, A. Problematic Online Pornography Use: A Media Attendance Perspective.
J. Sex. Res. 2016,53, 21–34. [CrossRef]
136.
Laier, C.; Pawlikowski, M.; Pekal, J.; Schulte, F.P.; Brand, M. Cybersex addiction: Experienced sexual arousal
when watching pornography and not real-life sexual contacts makes the difference. J. Behav. Addict.
2013
,
2, 100–107. [CrossRef] [PubMed]
137.
Brand, M.; Young, K.S.; Laier, C. Prefrontal control and internet addiction: A theoretical model and review of
neuropsychological and neuroimaging findings. Front. Hum. Neurosci. 2014,8, 375. [CrossRef]
138.
Snagowski, J.; Wegmann, E.; Pekal, J.; Laier, C.; Brand, M. Implicit associations in cybersex addiction:
Adaption of an Implicit Association Test with pornographic pictures. Addict. Behav.
2015
,49, 7–12. [CrossRef]
139. Snagowski, J.; Laier, C.; Duka, T.; Brand, M. Subjective Craving for Pornography and Associative Learning
Predict Tendencies Towards Cybersex Addiction in a Sample of Regular Cybersex Users. Sex. Addict. Compuls.
2016,23, 342–360. [CrossRef]
140.
Walton, M.T.; Cantor, J.M.; Lykins, A.D. An Online Assessment of Personality, Psychological, and Sexuality
Trait Variables Associated with Self-Reported Hypersexual Behavior. Arch. Sex. Behav.
2017
,46, 721–733.
[CrossRef]
141.
Parsons, J.T.; Kelly, B.C.; Bimbi, D.S.; Muench, F.; Morgenstern, J. Accounting for the social triggers of sexual
compulsivity. J. Addict. Dis. 2007,26, 5–16. [CrossRef] [PubMed]
142.
Laier, C.; Brand, M. Mood changes after watching pornography on the Internet are linked to tendencies
towards Internet-pornography-viewing disorder. Addict. Behav. Rep. 2017,5, 9–13. [CrossRef]
J. Clin. Med. 2019,8, 91 19 of 20
143.
Laier, C.; Brand, M. Empirical Evidence and Theoretical Considerations on Factors Contributing to Cybersex
Addiction from a Cognitive-Behavioral View. Sex. Addict. Compuls. 2014,21, 305–321. [CrossRef]
144.
Antons, S.; Brand, M. Trait and state impulsivity in males with tendency towards Internet-pornography-use
disorder. Addict. Behav. 2018,79, 171–177. [CrossRef] [PubMed]
145.
Egan, V.; Parmar, R. Dirty habits? Online pornography use, personality, obsessionality, and compulsivity.
J. Sex. Marital Ther. 2013,39, 394–409. [CrossRef] [PubMed]
146.
Werner, M.; Štulhofer, A.; Waldorp, L.; Jurin, T. A Network Approach to Hypersexuality: Insights and
Clinical Implications. J. Sex. Med. 2018,15, 373–386. [CrossRef]
147. Snagowski, J.; Brand, M. Symptoms of cybersex addiction can be linked to both approaching and avoiding
pornographic stimuli: Results from an analog sample of regular cybersex users. Front. Psychol. 2015,6, 653.
[CrossRef]
148.
Schiebener, J.; Laier, C.; Brand, M. Getting stuck with pornography? Overuse or neglect of cybersex cues
in a multitasking situation is related to symptoms of cybersex addiction. J. Behav. Addict.
2015
,4, 14–21.
[CrossRef] [PubMed]
149.
Brem, M.J.; Shorey, R.C.; Anderson, S.; Stuart, G.L. Depression, anxiety, and compulsive sexual behaviour
among men in residential treatment for substance use disorders: The role of experiential avoidance.
Clin. Psychol. Psychother. 2017,24, 1246–1253. [CrossRef] [PubMed]
150. Carnes, P. Sexual addiction screening test. Tenn. Nurse 1991,54, 29.
151.
Montgomery-Graham, S. Conceptualization and Assessment of Hypersexual Disorder: A Systematic Review
of the Literature. Sex. Med. Rev. 2017,5, 146–162. [CrossRef] [PubMed]
152. Miner, M.H.; Coleman, E.; Center, B.A.; Ross, M.; Rosser, B.R.S. The compulsive sexual behavior inventory:
Psychometric properties. Arch. Sex. Behav. 2007,36, 579–587. [CrossRef] [PubMed]
153.
Miner, M.H.; Raymond, N.; Coleman, E.; Swinburne Romine, R. Investigating Clinically and Scientifically
Useful Cut Points on the Compulsive Sexual Behavior Inventory. J. Sex. Med. 2017,14, 715–720. [CrossRef]
154.
Öberg, K.G.; Hallberg, J.; Kaldo, V.; Dhejne, C.; Arver, S. Hypersexual Disorder According to the Hypersexual
Disorder Screening Inventory in Help-Seeking Swedish Men and Women With Self-Identified Hypersexual
Behavior. Sex. Med. 2017,5, e229–e236. [CrossRef]
155.
Delmonico, D.; Miller, J. The Internet Sex Screening Test: A comparison of sexual compulsives versus
non-sexual compulsives. Sex. Relatsh. Ther. 2003,18, 261–276. [CrossRef]
156.
Ballester Arnal, R.; Gil Llario, M.D.; Gómez Martínez, S.; Gil Juliá, B. Psychometric properties of an
instrument for assessing cyber-sex addiction. Psicothema 2010,22, 1048–1053.
157.
Beutel, M.E.; Giralt, S.; Wölfling, K.; Stöbel-Richter, Y.; Subic-Wrana, C.; Reiner, I.; Tibubos, A.N.; Brähler, E.
Prevalence and determinants of online-sex use in the German population. PLoS ONE
2017
,12, e0176449.
[CrossRef] [PubMed]
158.
Kor, A.; Zilcha-Mano, S.; Fogel, Y.A.; Mikulincer, M.; Reid, R.C.; Potenza, M.N. Psychometric development
of the Problematic Pornography Use Scale. Addict. Behav. 2014,39, 861–868. [CrossRef] [PubMed]
159.
Wéry, A.; Burnay, J.; Karila, L.; Billieux, J. The Short French Internet Addiction Test Adapted to Online Sexual
Activities: Validation and Links With Online Sexual Preferences and Addiction Symptoms. J. Sex. Res.
2016
,
53, 701–710. [CrossRef] [PubMed]
160.
Grubbs, J.B.; Volk, F.; Exline, J.J.; Pargament, K.I. Internet pornography use: Perceived addiction,
psychological distress, and the validation of a brief measure. J. Sex. Marital Ther.
2015
,41, 83–106. [CrossRef]
[PubMed]
161.
Fernandez, D.P.; Tee, E.Y.J.; Fernandez, E.F. Do Cyber Pornography Use Inventory-9 Scores Reflect Actual
Compulsivity in Internet Pornography Use? Exploring the Role of Abstinence Effort. Sex. Addict. Compuls.
2017,24, 156–179. [CrossRef]
162.
othe, B.; Tóth-Király, I.; Zsila, Á.; Griffiths, M.D.; Demetrovics, Z.; Orosz, G. The Development of the
Problematic Pornography Consumption Scale (PPCS). J. Sex. Res. 2018,55, 395–406. [CrossRef] [PubMed]
163.
Griffiths, M. A “Components” Model of Addiction within a Biopsychosocial Framework. J. Subst. Use
2009
,
10, 191–197. [CrossRef]
164.
Reid, R.C.; Li, D.S.; Gilliland, R.; Stein, J.A.; Fong, T. Reliability, validity, and psychometric development
of the pornography consumption inventory in a sample of hypersexual men. J. Sex. Marital Ther.
2011
,
37, 359–385. [CrossRef]
J. Clin. Med. 2019,8, 91 20 of 20
165.
Baltieri, D.A.; Aguiar, A.S.J.; de Oliveira, V.H.; de Souza Gatti, A.L.; de Souza Aranha E Silva, R.A. Validation
of the Pornography Consumption Inventory in a Sample of Male Brazilian University Students. J. Sex.
Marital Ther. 2015,41, 649–660. [CrossRef]
166.
Noor, S.W.; Simon Rosser, B.R.; Erickson, D.J. A Brief Scale to Measure Problematic Sexually Explicit Media
Consumption: Psychometric Properties of the Compulsive Pornography Consumption (CPC) Scale among
Men who have Sex with Men. Sex. Addict. Compuls. 2014,21, 240–261. [CrossRef] [PubMed]
167.
Kraus, S.; Rosenberg, H. The pornography craving questionnaire: Psychometric properties. Arch. Sex. Behav.
2014,43, 451–462. [CrossRef] [PubMed]
168.
Kraus, S.W.; Rosenberg, H.; Tompsett, C.J. Assessment of self-efficacy to employ self-initiated pornography
use-reduction strategies. Addict. Behav. 2015,40, 115–118. [CrossRef] [PubMed]
169.
Kraus, S.W.; Rosenberg, H.; Martino, S.; Nich, C.; Potenza, M.N. The development and initial evaluation of
the Pornography-Use Avoidance Self-Efficacy Scale. J. Behav. Addict.
2017
,6, 354–363. [CrossRef] [PubMed]
170.
Sniewski, L.; Farvid, P.; Carter, P. The assessment and treatment of adult heterosexual men with self-perceived
problematic pornography use: A review. Addict. Behav. 2018,77, 217–224. [CrossRef] [PubMed]
171.
Gola, M.; Potenza, M.N. Paroxetine Treatment of Problematic Pornography Use: A Case Series.
J. Behav. Addict. 2016,5, 529–532. [CrossRef] [PubMed]
172.
Fong, T.W. Understanding and managing compulsive sexual behaviors. Psychiatry (Edgmont)
2006
,3, 51–58.
173.
Aboujaoude, E.; Salame, W.O. Naltrexone: A Pan-Addiction Treatment? CNS Drugs
2016
,30, 719–733.
[CrossRef]
174.
Raymond, N.C.; Grant, J.E.; Coleman, E. Augmentation with naltrexone to treat compulsive sexual behavior:
A case series. Ann. Clin. Psychiatry 2010,22, 56–62.
175.
Kraus, S.W.; Meshberg-Cohen, S.; Martino, S.; Quinones, L.J.; Potenza, M.N. Treatment of Compulsive
Pornography Use with Naltrexone: A Case Report. Am. J. Psychiatry 2015,172, 1260–1261. [CrossRef]
176.
Bostwick, J.M.; Bucci, J.A. Internet sex addiction treated with naltrexone. Mayo Clin. Proc.
2008
,83, 226–230.
[CrossRef]
177.
Camacho, M.; Moura, A.R.; Oliveira-Maia, A.J. Compulsive Sexual Behaviors Treated With Naltrexone
Monotherapy. Prim. Care Companion CNS Disord. 2018,20. [CrossRef] [PubMed]
178.
Capurso, N.A. Naltrexone for the treatment of comorbid tobacco and pornography addiction. Am. J. Addict.
2017,26, 115–117. [CrossRef] [PubMed]
179.
Short, M.B.; Wetterneck, C.T.; Bistricky, S.L.; Shutter, T.; Chase, T.E. Clinicians’ Beliefs, Observations, and
Treatment Effectiveness Regarding Clients’ Sexual Addiction and Internet Pornography Use. Commun. Ment.
Health J. 2016,52, 1070–1081. [CrossRef] [PubMed]
180.
Orzack, M.H.; Voluse, A.C.; Wolf, D.; Hennen, J. An ongoing study of group treatment for men involved in
problematic Internet-enabled sexual behavior. Cyberpsychol. Behav. 2006,9, 348–360. [CrossRef] [PubMed]
181.
Young, K.S. Cognitive behavior therapy with Internet addicts: Treatment outcomes and implications.
Cyberpsychol. Behav. 2007,10, 671–679. [CrossRef] [PubMed]
182.
Hardy, S.A.; Ruchty, J.; Hull, T.; Hyde, R. A Preliminary Study of an Online Psychoeducational Program for
Hypersexuality. Sex. Addict. Compuls. 2010,17, 247–269. [CrossRef]
183.
Crosby, J.M.; Twohig, M.P. Acceptance and Commitment Therapy for Problematic Internet Pornography
Use: A Randomized Trial. Behav. Ther. 2016,47, 355–366. [CrossRef]
184.
Twohig, M.P.; Crosby, J.M. Acceptance and commitment therapy as a treatment for problematic internet
pornography viewing. Behav. Ther. 2010,41, 285–295. [CrossRef]
©
2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
... For example, scholars do not always agree on a unified way of framing porn addiction, as some prefer the broader term 'internet use disorders' (Brand et al. 2016), while others opt for 'problematic porn use' (Kor et al. 2014). De Alarcón et al. (2019) highlighted the inconsistency in their systematic review of porn addiction studies. Nevertheless, the concept of porn addiction is decidedly visible in pop culture, media, online chatrooms and fora, through anecdotal evidence with clinicians and as a feature of sex education (Litsou et al. 2021). ...
... While porn addiction is not currently recognised as a formal diagnosis in the DSM-V, this absence should not be read as evidence that problematic or compulsive porn use does not exist, nor that it lacks clinical relevance. A growing body of research within psychology and medicine has documented experiences of distress, loss of control and functional impairment associated with porn use, often described using terms such as problematic porn use or compulsive sexual behaviour (e.g., Kor et al. 2014;De Alarcón et al. 2019;Taylor 2020). These findings indicate that, for some individuals, porn use is experienced as genuinely distressing and difficult to regulate and this is important to acknowledge. ...
... While some of the young men in this study had genuine concerns about porn addiction, this diagnostic frame lent scientific weight to otherwise moral claims. This made some of the boy's normative sexual curiosity appear as potentially pathological, while simultaneously omitting debates about whether the construct of porn addiction is valid (De Alarcón et al. 2019). ...
Article
Full-text available
This research sought to explore young people's and teachers' understandings of porn. Drawing on a qualitative content analysis of small focus group interview data with 106 young people aged 12–16 years old and semi‐structured interviews with six teachers in Aotearoa, New Zealand, I examine their perceptions of porn and the place of porn in sex education. All of the young people were aware of porn and the majority viewed it through a gendered lens—young men reported being more likely to consume and enjoy porn, their use of porn was normalised, whereas it was reported as being less socially acceptable for young women. Teachers and young people alike believed that young men can quite easily become addicted to porn, whereas women are much less likely to become addicted. Through focusing on addiction as a deterrent from watching porn, sexuality education often ignored other gendered issues such as violence and misogyny.
... Most research has focused on the psychological impacts of pornography, including symptoms such as sadness, depression, reduced self-worth, and diminished appetite. Individuals with pornography addiction exhibit elevated rates of general anxiety, psychological distress, and reduced emotional attachment to family members [75,76]. Most investigations have classified pornography addiction as a type of drug addiction. ...
... Research has linked pornography use to feelings of sexual dissatisfaction, which in turn may result in individuals seeking additional sexual partners and participating in paid sexual activities. de Alarcón et al. [75] often observed this phenomenon in unbalanced partnerships. Another factor contributing to the rise in pornography use may be the use of sexual activity as a coping method for symptoms of depression, feelings of isolation, and even fear of death. ...
... Another factor contributing to the rise in pornography use may be the use of sexual activity as a coping method for symptoms of depression, feelings of isolation, and even fear of death. According to George et al. [75], those who often consume sexually explicit content tend to have a more permissive or favorable attitude toward it and feel that it may enhance their sexual experiences. Most research suggests that common social consequences include difficulties in forming close relationships with male friends, spending more time on websites, and facing difficulty selfregulating the use of pornographic sites. ...
Article
Full-text available
INTRODUCTION: This paper explores the psychological and interpersonal consequences of pornography addiction and management strategies, highlighting its growing prevalence due to advancements in technology and internet accessibility. With an estimated 12% of the internet comprising pornographic material, individuals increasingly engage with such content, contributing to significant behavioral patterns. MATERIAL AND METHODS: We performed a traditional narrative review of articles published in the last 10 years, and some papers of particular interest were also included in the review. RESULTS: Pornography addiction is linked to emotional distress, mood disorders, and diminished emotional connection in personal relationships, often leading to social isolation. Additionally, it is associated with heightened sexual aggression and risky behaviors, affecting psychological well-being. The paper also acknowledges pornography’s paradoxical role, whereby it may induce both anxiety and inspiration. It also emphasizes the need for structured treatment interventions to help individuals regain control, restore psychological balance, and build healthier coping strategies. CONCLUSIONS: Examining these dual effects, the study aims to provide a comprehensive understanding of how pornography addiction impacts mental health and interpersonal dynamics.
... Faktor pakaian ketat dan aroma tubuh yang menyenangkan kerap menjadi pemicu utama dalam membentuk fokus visual dan fantasi. Temuan ini sesuai dengan konsep cue-reactivity, yaitu bagaimana tubuh dan otak bereaksi secara otomatis terhadap isyarat yang telah diasosiasikan dengan kebiasaan adiktif (de Alarcón et al., 2019). Fenomena ini memperlihatkan bahwa konsumsi pornografi tidak hanya berdampak pada perilaku seksual, tetapi juga memengaruhi persepsi sosial dan respons sensorik terhadap lingkungan sekitar. ...
... Penurunan frekuensi ini mencerminkan adanya peningkatan kesadaran terhadap konsekuensi perilaku dan mulai pulihnya kemampuan regulasi diri. Dalam konteks adiksi perilaku, proses pemulihan tidak selalu ditandai dengan penghentian total, melainkan juga dapat terlihat dari berkurangnya intensitas dan frekuensi perilaku yang sebelumnya maladaptif (de Alarcón et al., 2019). Temuan ini menunjukkan bahwa pemulihan bersifat bertahap dan dipengaruhi oleh faktor internal seperti nilai pribadi, serta dukungan eksternal seperti pendidikan dan aktivitas pengalih yang konstruktif. ...
Article
Full-text available
Perkembangan teknologi digital telah memudahkan akses terhadap konten seksual eksplisit, menjadikan remaja kelompok yang paling rentan terhadap paparan pornografi. Fenomena ini menimbulkan kekhawatiran karena berkaitan dengan risiko adiksi dan dampak psikologis jangka panjang, terutama dalam konteks perilaku masturbasi yang kerap menyertainya. Penelitian ini bertujuan untuk mengeksplorasi pengalaman subjektif remaja yang mengalami adiksi pornografi dan masturbasi, serta dinamika psikologis yang melingkupinya. Menggunakan pendekatan kualitatif dengan metode fenomenologi, dua partisipan remaja (laki-laki dan perempuan) berusia 18-19 tahun diwawancarai secara mendalam. Hasil penelitian menunjukkan bahwa keterpaparan pornografi terjadi ketika partisipan berada di rentang anak dan remaja awal yang dipengaruhi oleh lingkungan sosial, terutama teman sebaya, serta kemudahan akses melalui media digital. Konsumsi pornografi dan masturbasi berfungsi sebagai pelampiasan dari stres dan emosi negatif, namun memunculkan dampak psikologis seperti rasa bersalah, gelisah, dan perubahan persepsi terhadap lawan jenis. Temuan ini menunjukkan adanya pola adiktif yang dipengaruhi oleh mekanisme coping disfungsional dan ketidakmampuan regulasi diri. Penelitian ini memperkaya pemahaman teoritis tentang dinamika psikologis remaja dalam adiksi pornografi dan masturbasi melalui pendekatan fenomenologis yang menyoroti konflik internal, regulasi diri, dan respons terhadap isyarat seksual. Secara praktis, temuan ini menjadi dasar bagi intervensi yang empatik dan kontekstual, serta membantu pendidik dan orang tua mengenali perilaku adiktif.
... The relationship between online learning and internet pornographic addiction is unclear. Previous research has looked into peer contagion mechanisms, factors linked to pornographic materials, peer internet overuse, and internet addiction (Zhou, 2018;Njeru et al.;2019). It's uncertain whether online learning and peer pressure play a role in predicting adolescent internet pornographic addiction. ...
Article
The effect of online learning and peer pressure as predictors of internet pornographic addiction among Adazi-Nnukwu adolescents was investigated in this study. Previous
... The relationship between online learning and internet pornographic addiction is unclear. Previous research has looked into peer contagion mechanisms, factors linked to pornographic materials, peer internet overuse, and internet addiction (Zhou, 2018;Njeru et al.;2019). It's uncertain whether online learning and peer pressure play a role in predicting adolescent internet pornographic addiction. ...
Article
Full-text available
The effect of online learning and peer pressure as predictors of internet pornographic addiction among Adazi-Nnukwu adolescents was investigated in this study. Previous
... Regarding users, recent statistics show that more than 987 million people worldwide use GAIC (15). However, the first mention of GAIC addiction in the scientific literature was an article by Zhou and Zhang (16), which was preceded only by more general concepts, such as technology addiction or Internet addiction (17)(18)(19)(20)(21)(22). This situation clearly reflects a gap between the scientific advances of GAIC, the social acceptance of this technology, and the medical research in the respective field. ...
Article
Full-text available
The potential negative consequences of generative AI are the subject of intense debate, with pragmatic and theoretical arguments and counterarguments advanced by mental health specialists, researchers, and policymakers regarding its impact on creativity, overall functioning, and psychosocial wellbeing. The current narrative review addresses historical and conceptual developments in the problematic use of generative AI chatbots (PUGAIC) and empirical findings on its epidemiology, risk factors, assessment instruments, and proposed pathophysiological mechanisms, without advancing PUGAIC as a formally established diagnostic entity. Preliminary data suggest that emotional attachment, anthropomorphism, instant reinforcement, and parasocial dynamics may contribute to compulsive use of generative AI in vulnerable individuals. However, current evidence remains limited, without clinical correlates, predominantly cross-sectional, and culturally constrained. Existing measurement tools are in early stages of validation, and diagnostic boundaries between high engagement in generative AI-related activities, problematic use, and addiction-like behavior remain unclear. While moral apprehension and overpathologization are pitfalls that should be avoided, clinicians have to remain attentive to cases involving functional impairment, psychological distress, and loss of control. In conclusion, based on the available data, PUGAIC may be conceptualized as a potential spectrum phenomenon embedded within broader psychosocial vulnerabilities rather than as an established clinical disorder. Longitudinal research, cross-cultural validation of instruments, and neurocognitive investigations are needed to clarify its nosological status and inform preventive and therapeutic strategies. Keywords: behavioral addiction, chatbots, gambling disorder, gaming disorder, generative AI, postmodernism, problematic use of the internet
... Research on the incidence and effects of porn has mainly focused so far on White, cisgender male populations, and on pornography consumption itself. Research also lags behind in understanding the impact of pornography consumption, among others, on sexual functioning [40] (ie, moving through the stages of sexual desire, arousal, and orgasm, as well as subjective satisfaction with the frequency and outcome of individual and partnered sexual behavior), romantic relationships, and across sexual and gender identity groups [41][42][43]. In this WP, we focus on the incidence, prevalence, and motivation of pornography consumption, its impact on sexual health and sexual well-being (including relationship satisfaction) [44,45], and the risk factors or positive effects of pornography consumption among different minoritized groups in society. ...
Article
Full-text available
Background Since the rise of freely accessible pornographic streaming websites, pornography consumption has become widespread and normative worldwide. In Flanders, early exposure—before age 13—has tripled over the past decade, and frequent use, particularly among young men, is common. While pornography consumption may support body satisfaction, self-exploration, and self-esteem, evidence on its effects on sexual development and sexual well-being remains limited. Public debates are polarized, swinging between moral panic and denial of potential risks. Care providers and helplines increasingly report young people struggling with pornography-related concerns, such as self-perceived porn-induced sexual dysfunctions. Adolescents and young adults from diverse backgrounds express a clear need for guidance in navigating sexually explicit media, particularly when communication with parents, teachers, or health care providers is difficult. Objective This project aims to generate evidence-based insights into the complex relationships between pornography consumption, sexual development, and sexual well-being among young people. By producing actionable knowledge, it seeks to inform education, prevention, and care practices that help adolescents and young adults navigate sexually explicit media in ways that promote healthy and inclusive sexual well-being within Flanders’ ethnically and sexually diverse society. Methods The project consists of four interconnected work packages: (1) examining pornography in relation to societal norms and inequalities, (2) exploring pornography within family-based sexual development, (3) investigating pornography’s role in health care contexts, and (4) developing evidence-based pornography literacy tools for education and prevention. A mixed methods approach will combine systematic scoping reviews, a nationally representative survey, laboratory studies, qualitative interviews and focus groups, and co-creation with key societal stakeholders. Results The project received funding from Research Foundation – Flanders in 2024, and researchers were appointed between September and November 2024. Scoping reviews began in January 2025 and concluded in October 2025. A large-scale survey will be conducted between January and March 2026, followed by subsequent stages of analysis, dissemination, and valorization, concluding in 2028. Conclusions Although empirical results are not yet available, the project will deliver new evidence on how pornography consumption shapes sexual development and sexual well-being across diverse contexts. It will produce practical outputs for education, health care, and policy, and contribute to reducing stigma and misinformation around pornography use. By addressing pornography as a multifaceted social and sexual phenomenon, this multidisciplinary research will advance scientific understanding and promote more inclusive, evidence-based approaches to sexual health education, care, and policy.
Preprint
Full-text available
Background Problematic pornography use (PPU) is an emerging concern among adolescents globally. Emotional distress and social factors may shape vulnerability, but their interrelationships are poorly understood, particularly in low- and middle-income country contexts where sexual health education is limited. Objectives To examine psychosocial correlates of PPU among Bangladeshi adolescents, with a focus on direct and indirect pathways through anxiety, loneliness, perceived social support, and self-esteem. Methods A cross-sectional study enrolled 601 adolescents (mean age 17.07 ± 0.99 years; 55.6% male) from educational institutions in Bangladesh. The Brief Pornography Screen (BPS), GAD-7, UCLA Loneliness Scale, Multidimensional Scale of Perceived Social Support (MSPSS), and Rosenberg Self-Esteem Scale (RSES) were administered. Pearson correlations, structural equation modelling (SEM), and multivariable linear regression were applied. Results The mean PPU score was 5.13 ± 3.30, with males scoring significantly higher than females. Anxiety and loneliness were the strongest direct predictors of PPU in the SEM (GAD-7: β = 0.257, p < 0.001; UCLA: β = 0.232, p < 0.001). Perceived social support showed a positive association with PPU (β = 0.221, p < 0.001), challenging assumptions about its protective role. Self-esteem was not a direct predictor but was inversely related to anxiety (r = − 0.128, p < 0.01), suggesting an indirect protective pathway. The multivariable model explained 51.4% of PPU variance. Over half of participants reported repeated failed attempts to stop use. Conclusions PPU among Bangladeshi adolescents is primarily driven by emotional vulnerability, particularly anxiety and loneliness. The positive social support association likely reflects peer-enabled exposure in a context of absent formal sex education. Interventions should target underlying mental health and incorporate digital literacy components.
Article
This narrative review critically examines prevalent myths about pornography in Malaysia, including the beliefs that it is harmless, non‐addictive, empowering for women, or an appropriate form of sex education. Drawing from local and international empirical studies, the review highlights the sociocultural and psychological risks associated with pornography consumption. In the Malaysian context, evidence indicates early exposure among youth, links to sexual aggression, compulsive usage, unrealistic sexual expectations, and negative impacts on emotional well‐being, relationships, and body image. Furthermore, pornographic content often disproportionately portrays women as targets of aggression. Pornography use is also associated with diminished relationships and sexual satisfaction. It may provide misleading and unrealistic portrayals of sexuality when used as a source of sex education. These myths hinder public awareness, prevention efforts, and policy development. The review calls for culturally sensitive education, stronger digital safeguards, and improved mental health support to address problematic pornography use and encourage more informed public discourse in Malaysia.
Article
Full-text available
Východiska: S globalizací internetu se stala online pornografie snadno dostupnou, což výrazně proměnilo celý pornografický průmysl. Významné rozšíření online pornografie dokládá i skutečnost, že pornografické webové portály patřily v roce 2024 mezi 25 světově nejnavštěvovanějších webových stránek. Z dostupných dat se ukazuje, že se sledováním této formy pornografie má zkušenost většina dospělé populace (70–90 %), současně ale nebyly v českém prostředí blíže prozkoumány deskriptivní charakteristiky její konzumace dospělou populací. Cíle: Z toho důvodu si tato studie klade za cíl zmapovat obecné charakteristiky užívání pornografického obsahu dospělou populací v České republice, se zaměřením na věk první expozice, frekvenci sledování za posledních 30 dní a průměrnou dobu strávenou konzumací pornografie v pracovních dnech a ve dnech volna. Metodologie: Pro naplnění cílů byl zvolen kvantitativní design výzkumu, pro deskripci obecného užívání pornografie byly formulovány vlastní otázky. Data byla sbírána prostřednictvím online dotazníkového šetření distribuovaného skrze sociální sítě. Soubor: Výzkumný soubor byl sestaven na základě samovýběru respondentů. Výběrový soubor tvořilo celkem 1061 respondentů české dospělé populace ve věkovém rozmezí 18 až 72 let, z toho 397 mužů (37,4 %) a 664 žen (62,6 %). Výsledky: Medián věku prvního sledování pornografie byl u mužů i u žen 13 let. Muži vykazovali signifikantně vyšší četnost i průměrnou dobu sledování pornografického obsahu než ženy. Diskuse a závěry: Medián věku prvního sledování pornografie u českých mužů odpovídá zahraničním výzkumům, zatímco u českých žen je výrazně nižší. Diskutovány jsou možné dopady pandemie covidu-19 a technologického pokroku na změny v užívání pornografického obsahu.
Article
Full-text available
Objective: The objective of the study was to determine the effect of internet use on the psychosomatic health of adolescent school children in Rourkela. Methods: The study involved a population of 484 school students of Rourkela in the age groups of 13-18 years. History taking and clinical examination were done to know any existing health problem. Young people’s internet usage questionnaire” was handed over to enquire internet use practices. The parents of these children were asked to fill in “pediatric symptom checklist” to know psychological problems. Each answered questionnaire was given a specific serial number. The data collected from these matched sets of questionnaires as per serial number were analyzed using Chi-square test and ANOVA (to compare average number of health problems among the groups). A p<0.05 is considered significant. Results: It was found that more frequent internet user suffered from sleeplessness (p=0.048), increased interest in sexual activity (p<0.001), and conduct problems (p=0.013). Getting cyberbullied had statistically significant association with increased interest in sex (p=0.012), low mood (p=0.001), lack of concentration (p<0.001), anxiety (p=0.002), aggression (p=0.003), backache (p=0.001), headache (p=0.001), eye pain (p<0.001), and attention problems (p=0.017). Visiting porn sites were associated with interest in sex (p<0.001), low mood (p<0.001), lack of concentration (p=0.020), and unexplained anxiety (p<0.001). Conclusions: Frequency of internet use, cyberbullying, and visiting pornographic sites had a significant association with some physical and psychological health problems. For the victims of cyberbullying, average number inexplicable diseases/problems are significantly more than that of nonvictims (p<0.001).
Article
Full-text available
span lang="EN">The rise of Internet access, social media and availability of smart phones intensify the epidemic of pornography addiction especially among younger teenagers. Such scenario may offer many side effects to the individual such as alteration of the behavior, changes in moral value and rejection to normal community convention. Hence, it is imperative to detect pornography addiction as early as possible. In this paper, a method of using brain signal from frontal area captured using EEG is proposed to detect whether the participant may have porn addiction or otherwise. It acts as a complementary approach to common psychological questionnaire. Experimental results show that the addicted participants had low alpha waves activity in the frontal brain region compared to non-addicted participants. It can be observed using power spectra computed using Low Resolution Electromagnetic Tomography (LORETA). The theta band also show there is disparity between addicted and non-addicted. However, the distinction is not as obvious as alpha band. Subsequently, more work need to be conducted to further test the validity of the hypothesis. It is envisaged that with more participants and further investigation, the proposed method will be the initial step to groundbreaking way of understanding the way porn addiction affects the brain.</span
Article
Full-text available
In recent years, several works have reported on perceived addiction to internet pornography, or the potential for some individuals to label their own use of pornography as compulsive or out of control. Such works have consistently found that perceived addiction is related to concerning outcomes such as psychological distress, relational distress, and other addictive behaviors. However, very little work has specifically examined whether or not perceived addiction is actually related to increased use of pornography, cross-sectionally or over time. The present work sought to address this deficit in the literature. Using two longitudinal samples (Sample 1, Baseline N = 3988; Sample 2, Baseline N = 1047), a variety of factors (e.g., male gender, lower religiousness, and lower self-control) were found to predict any use of pornography. Among those that acknowledged use (Sample 1, Baseline N = 1352; Sample 2, Baseline N = 793), perceived addiction to pornography consistently predicted greater average daily use of pornography. At subsequent longitudinal follow-ups (Sample 1, Baseline N = 265; Sample 2, One Month Later, N = 410, One Year Later, N = 360), only male gender and baseline average pornography use consistently predicted future use. These findings suggest that perceived addiction to pornography is associated with concurrent use of pornography, but does not appear to predict use over time, suggesting that perceived addiction may not always be an accurate indicator of behavior or addiction.
Article
Full-text available
Background and aims: Problematic internet use (PIU; otherwise known as Internet Addiction) is a growing problem in modern societies. There is scarce knowledge of the demographic variables and specific internet activities associated with PIU and a limited understanding of how PIU should be conceptualized. Our aim was to identify specific internet activities associated with PIU and explore the moderating role of age and gender in those associations. Methods: We recruited 1749 participants aged 18 and above via media advertisements in an Internet-based survey at two sites, one in the US, and one in South Africa; we utilized Lasso regression for the analysis. Results: Specific internet activities were associated with higher problematic internet use scores, including general surfing (lasso β: 2.1), internet gaming (β: 0.6), online shopping (β: 1.4), use of online auction websites (β: 0.027), social networking (β: 0.46) and use of online pornography (β: 1.0). Age moderated the relationship between PIU and role-playing-games (β: 0.33), online gambling (β: 0.15), use of auction websites (β: 0.35) and streaming media (β: 0.35), with older age associated with higher levels of PIU. There was inconclusive evidence for gender and gender × internet activities being associated with problematic internet use scores. Attention-deficit hyperactivity disorder (ADHD) and social anxiety disorder were associated with high PIU scores in young participants (age ≤ 25, β: 0.35 and 0.65 respectively), whereas generalized anxiety disorder (GAD) and obsessive-compulsive disorder (OCD) were associated with high PIU scores in the older participants (age > 55, β: 6.4 and 4.3 respectively). Conclusions: Many types of online behavior (e.g. shopping, pornography, general surfing) bear a stronger relationship with maladaptive use of the internet than gaming supporting the diagnostic classification of problematic internet use as a multifaceted disorder. Furthermore, internet activities and psychiatric diagnoses associated with problematic internet use vary with age, with public health implications.
Article
Full-text available
During the last decade, there has been heated debate regarding whether compulsive sexual behaviour should be classified as a mental/behavioural disorder. Compulsive sexual behaviour disorder has been proposed for inclusion as an impulse control disorder in the ICD-11. It is characterized by a persistent pattern of failure to control intense, repetitive sexual impulses or urges, resulting in repetitive sexual behaviour over an extended period (e.g., six months or more) that causes marked distress or impairment in personal, family, social, educational, occupational or other important areas of functioning.
Article
Background In spite of a growing interest in research on hypersexuality, consensus about its etiology and best treatment strategy has not been achieved. Aim To further the empirical and clinical understanding of hypersexuality by exploring the structure of its symptoms using a network analytic approach. Methods In 2014, an online survey advertised as focusing on Internet pornography, sexual health, and relationships was carried out among Croatian men and women aged 18–60 years (Mage = 31.1 years, SD = 9.67). In a sample of 3,028 participants, we applied a network analytic approach to explore the structure of hypersexuality symptoms. In the network, nodes represented hypersexuality symptoms and associated sexual behaviors, while their connections were operationalized as partial correlations. 4 Research questions were addressed: (1) does the hypersexuality network differ between genders; (2) which symptoms are centrally positioned; (3) what is the topological location of pornography use; and (4) are there distinct clusters (“communities”) of symptoms in the network? Outcomes We estimated and plotted hypersexuality networks by gender using items from the Hypersexual Disorder Screening Inventory and the Hypersexual Behavioral Consequences Scale, as well as indicators of sexual desire, pornography use, sexual intercourse, and masturbation frequency. Results The structure of the hypersexuality network was surprisingly similar in women and men, both in terms of symptom centrality and the clustering of symptoms. Psychological distress and negative emotions triggered by sexual fantasies and/or behaviors, together with a loss of control over sexual feelings, occupied central positions in the networks. Pornography use was located peripherally in both the men’s and women’s hypersexuality networks. Clinical Translation Psychological distress and negative emotions triggered by sexual fantasies and/or behaviors constituted the core of the hypersexuality network, which makes them potential prime targets for clinical intervention and calls for normalization of (presumably self-stigmatized) sexual expression through affirmative therapy and interventions that enhance self-care, self-compassion, and adaptive coping mechanisms. Strengths & Limitations This is the first network analytic approach to hypersexuality. Apart from its novel insights about the structure of hypersexuality, the study employed several methods to assure reliability and robustness of findings. Considering that networks were estimated in a convenience-based community sample, the findings might not generalize to clinically distressed individuals. Conclusion Our results demonstrate the usefulness of network analytics to hypersexuality in a non-clinical sample and we encourage future clinical and longitudinal explorations of hypersexuality using this novel approach.
Article
Neuroimaging studies on the characteristics of hypersexual disorder have been accumulating, yet alternations in brain structures and functional connectivity in individuals with problematic hypersexual behavior (PHB) has only recently been studied. This study aimed to investigate gray matter deficits and resting-state abnormalities in individuals with PHB using voxel-based morphometry and resting-state connectivity analysis. Seventeen individuals with PHB and 19 age-matched healthy controls participated in this study. Gray matter volume of the brain and resting-state connectivity were measured using 3T magnetic resonance imaging. Compared to healthy subjects, individuals with PHB had significant reductions in gray matter volume in the left superior temporal gyrus (STG) and right middle temporal gyrus. Individuals with PHB also exhibited a decrease in resting-state functional connectivity between the left STG and left precuneus and between the left STG and right caudate. The gray matter volume of the left STG and its resting-state functional connectivity with the right caudate both showed significant negative correlations with the severity of PHB. The findings suggest that structural deficits and resting-state functional impairments in the left STG might be linked to PHB and provide new insights into the underlying neural mechanisms of PHB.
Article
Introduction: Impulsivity has been identified to be involved in the development and maintenance of specific Internet-use disorders (IUD). It can be differentiated between relatively stable trait impulsivity and state impulsivity which is dependent on environmental and affective factors such as craving. Following the I-PACE (Interaction of Person-Affect-Cognition-Execution) model, both trait and state impulsivity may play an interactive role in IUD. The present study aimed to investigate the relationship between trait and state impulsivity and symptom severity of Internet-pornography-use disorder (IPD) as one form of IUD. Methods: Fifty heterosexual males participated in this study. State impulsivity was measured with reaction times in a modified stop-signal task. Each participant conducted two blocks of this task which included neutral and pornographic pictures. Moreover, current subjective craving, trait impulsivity, and symptom severity of IPD were assessed using several questionnaires. Results: Results indicate that trait impulsivity was associated with higher symptom severity of IPD. Especially those males with higher trait impulsivity and state impulsivity in the pornographic condition of the stop-signal task as well as those with high craving reactions showed severe symptoms of IPD. Conclusion: The results indicate that both trait and state impulsivity play a crucial role in the development of IPD. In accordance with dual-process models of addiction, the results may be indicative of an imbalance between the impulsive and reflective systems which might be triggered by pornographic material. This may result in loss of control over the Internet-pornography use albeit experiencing negative consequences.