Skip to main content

MINI REVIEW article

Front. Psychiatry, 16 March 2021
Sec. Addictive Disorders
This article is part of the Research Topic Drug and Behavioral Addictions During Social-Distancing for the COVID-19 Pandemic View all 51 articles

Internet and Pornography Use During the COVID-19 Pandemic: Presumed Impact and What Can Be Done

\nHashir Ali AwanHashir Ali Awan1Alifiya AamirAlifiya Aamir1Mufaddal Najmuddin DiwanMufaddal Najmuddin Diwan1Irfan UllahIrfan Ullah2Victor Pereira-SanchezVictor Pereira-Sanchez3Rodrigo RamalhoRodrigo Ramalho4Laura OrsoliniLaura Orsolini5Renato de FilippisRenato de Filippis6Margaret Isioma OjeahereMargaret Isioma Ojeahere7Ramdas RansingRamdas Ransing8Aftab Karmali VadsariaAftab Karmali Vadsaria9Sanya Virani,
Sanya Virani10,11*
  • 1Dow University of Health Sciences, Karachi, Pakistan
  • 2Kabir Medical College, Gandhara University, Peshawar, Pakistan
  • 3Department of Child and Adolescent Psychiatry, School of Medicine, New York University, New York, NY, United States
  • 4Department of Social and Community Health, School of Population Health, University of Auckland, Auckland, New Zealand
  • 5Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, School of Medicine and Surgery, Polytechnic University of Marche, Ancona, Italy
  • 6Psychiatry Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
  • 7Department of Psychiatry, Jos University Teaching Hospital, Jos, Nigeria
  • 8Bhaktshreshtha Kamalakarpant Laxman Walawalkar Rural Medical College, Kasarwadi, India
  • 9Smt. Kashibai Navale Medical College and General Hospital, Pune, India
  • 10Veterans Affairs Connecticut Healthcare System, Yale University School of Medicine, West Haven, CT, United States
  • 11School of Medicine Yale University, New Haven, CT, United States

The COVID-19 pandemic continues to cause an immense psychosocial strain worldwide. Excessive use of the internet during these psychologically trying times, fueled by physical isolation as a result of lockdowns, has translated into dysfunctional behaviors. A growing body of evidence suggests an unprecedented increase in internet use and consumption of online pornography during the pandemic, and possibly even directly caused by it. In this review, the authors report data from relevant sources to show the rise in pornography use during lockdowns in different countries worldwide. In addition to a brief overview of the neurobiology of internet addiction broadly and problematic online pornography use specifically, similarities with substance use disorders are explained. Further, the current status of the debate about defining diagnostic criteria is discussed. Finally, the review sheds light on the potential detrimental outcomes during the future post-pandemic “re-adaptation,” while simultaneously offering preventative and management strategies for harm reduction. The authors conclude that foresightedness with utilizing existing tools and therapies and exercising appropriate amounts of caution could go a long way in addressing the challenges that lie ahead in the post-pandemic era.

Introduction

Crossing a 100 million cases and with more than 2 million deaths recorded globally to date (1), the COVID-19 pandemic has transformed the world. The socioeconomic consequences have been dire, leaving many unemployed and grappling with a constant state of uncertainty and anxiety, reinforced by the tremendous amounts of “free time” they now have in the absence of jobs and the compounding isolation due to COVID-19 enforced regulations. This in turn has led to a rapid uptake of maladaptive and dysfunctional behaviors among all age groups, at the crux of which lies excessive internet consumption (2, 3).

BBC and Netflix recorded 16 million new subscribers in the first 3 months of 2020, almost 100% higher than the new subscribers during the last few months of 2019 (4). In April, Microsoft's game servers had 10 million users, showing how the internet gaming industry has thrived in the pandemic (5). A preliminary study in China comparing data between October 2019 and March 2020 reported a sharp increase (23%) in the prevalence of severe internet addiction with a 20-fold rise in the dependence degree of those already addicted to the internet (6). Another study conducted in China limited to adolescents depicted a rise in internet use, especially in subjects considered as “Addictive Internet Users” based on the questionnaire's cutoff (2). A cross-sectional study in Taiwan claimed that the prevalence of internet addiction in adolescents was much higher than other previously recorded samples worldwide (7).

This review summarizes viewpoints on behavioral addictions with focus on problematic internet use and pornography, elucidates what is known to date about their neurobiology, describes how the pandemic has intensified the problem by providing most current statistics, and discusses the need for diagnostic criteria, while offering strategies for prevention and harm reduction during the pandemic and post-pandemic era.

Internet Addiction

Internet addiction, also referred to as “pathological internet use” or “problematic use of internet” (PUI), has been defined as “a psychological dependence on the internet” (8), and is characterized by excessive or poorly controlled preoccupations, urges, or behaviors regarding internet usage, leading to impairment or distress (9, 10). The need for defining a specific behavioral addiction to the internet has been a subject for debate since the early 1990s, when the first cases of internet addiction were described (11). Two discrete manifestations of PUI are (12): (a) generalized—a non-specific, multifaceted overuse of the internet, not directly related to any one activity; and (b) specific—a pathological indulgence in one (or more, but separate) activity on the internet, using internet as a medium. In a 2014 study, they were referred to as GIA (generalized internet addiction) and SIA (specific internet addiction) (13).

The use of internet addiction as an umbrella term is, hence, closely related to considering the internet as just the channel to online content. Various internet-mediated problematic behaviors have been described, including but not limited to problematic online pornography use, internet gaming disorder, online gambling, and excessive use of social media and communication sites.

Pornography Addiction

A 2006 longitudinal study on internet addiction concluded that of the many internet-related activities, “erotica” (or online pornography) had the greatest potential to be addictive (14). According to Stein et al. in persons with Compulsive Sexual Behavior Disorder (CSBD), the behavior becomes a central focus of their life, with unsuccessful efforts to control or significantly reduce it as well as adverse consequences (e.g., repeated relationship disruption, occupational consequences, negative impact on health) (15).

Known as both a type of internet-mediated addiction and a component of hypersexuality, problematic online pornography use is rapidly turning into a topic that demands deeper empirical research due to its potentially addictive nature and perceived negative outcomes.

Despite its presumed pervasiveness, “internet pornography addiction” (IPA) or “problematic online pornography use” (POPU) is under-researched, and usually fitted into the umbrella construct of hypersexual behavior or “compulsive sexual behavior” (CSB). Some have attempted to characterize IPA/POPU as an “impulse-control disorder” while the International Classification of Diseases (ICD-11) has placed it under compulsive sexual behavior disorder (CSBD), following the impulse-control disorder model. On the contrary, the Diagnostic and Statistical Manual of the American Psychiatric Association (DSM-5) seems to follow the addiction model since IPA shares various classic characteristics (like tolerance) with other addictions. Additionally, some authors argue that there is a considerable overlap between compulsive (anxiety-reducing) behaviors and impulsive (rewarding) behaviors when it comes to IPA, despite noticeable dissimilarities. It is important to note that Stein et al. present thought-provoking arguments in favor of using the underlying mechanisms for classification rather than solely adopting a “descriptivist” approach (15).

Neurobiology of Internet and Pornography Addiction

Evidence Related to Internet Addiction

While behavioral factors make internet addiction clinically recognizable, neurobiological studies have to be combined with this behavioral analysis in what has been labeled “parallel and contiguous paradigms” (16). Some important studies investigating the neurobiological aspect of internet addiction have found similarities between it and pathological gambling and substance use disorders, especially in the loss of executive control (13). Negative associations of internet addiction to activity in brain areas which are core components of the default mode network (precuneus, posterior cingulate gyrus) were similar to those in other substance and behavioral addictions, and some impaired brain mechanisms in the inhibitory control network could explain the lack of control found in such behavioral addictions (17). It is hypothesized that dysfunctions in dopaminergic circuits make the individual more prone to addictive behaviors (like internet gaming or pornography) that feed reward mechanisms (18).

As with disordered gambling, the Taq1A1 allele of the DRD2 gene (19) and homozygosity of the short allelic variant of the 5-HTTLPR gene (20) have been associated with PUI.

Neural Mechanisms of Pornography Addiction and Supranormal Stimuli

A common neurobiological stem between addiction resulting from consumption of psychoactive substances and CBSD/IPA is recognizable. Some studies have proposed commonalities between neural mechanisms of drug-related and behavior-related addictions, especially when CSBD/IPA is brought into focus (21). A malfunctioning of the brain's reward center has been suggested as being responsible for turning these behaviors into addictions (22). A significant negative association between watching more pornographic content per week and right caudate volume, and between cue-reactivity and left putamen was also found, which could be the result of a constant stimulation of the reward centers or a neuroplastic change allowing for greater pleasure while consuming pornographic content (23). Furthermore, men with problematic use of online pornography were found to have greater ventral striatal activity when predicting erotic pictures (24), concluding that this processing of cues was similar to conventional addictions (SUD) and contributed to the clinical presentation.

A peculiar addition to the neurobiology of IPA is the concept of “supranormal stimulus,” introduced in the book “The Study of Instinct” (25) published in 1951. It refers to the brain's reward systems as being activated at greater levels by an artificial (or engineered) stimulus than by a natural stimulus of a similar type. In 2010, internet pornography was added as an example illustrating the phenomenon of supranormal stimulus (26), owing to the “infinite” number of artificial scenarios available online for the consumer to choose from. This allows for the individual to seek greater reward and compulsively consume pornography, entering the “addictive mode.” This has a tie-end to novelty-seeking behavior found in people with a pornography addiction and the desire for unique, new, and more perfect content to make it a subject of masturbation/sexual desire—also called a “pathological pursuit” (27). This can also manifest in the shift from pornographic magazines to online video pornography (28). Park et al. builds upon pornography as a supranormal stimulus by highlighting the “novelty” it registers and uses case reports to explain the negative effects it may bear on a person's life because of the inability to achieve the same response in real-life as compared to person's response to pornography (29).

Of note, according to Stein et al. (15), CSBD is not considered a true compulsion that occurs in relation to intrusive, unwanted and typically anxiety-provoking thoughts (obsessions) as in OCD but a repetitive, typically initially rewarding behavior pattern that the person feels unable to control, which appears to have both impulsive and compulsive elements (30). While the earlier course is predominantly related to impulsivity and positive reinforcement, the latter is more about compulsive behaviors and negative reinforcement (31). The dual-control model posits that CSBD becomes an issue when self-control and sexual responsiveness/excitability are high and low, respectively (32).

The Need for Diagnostic Criteria

In a post-COVID world, there is potential for mounting complaints of behavioral addictions requiring robust actions to prevent them from becoming another major public mental health problem, as substance abuse disorders already are. Accurate and holistic diagnostic patterns would need to be found before categorizing each symptom or even a slightly problematic use of internet content(s) as an addiction. Fineberg et al. included the development of diagnostic criteria as 1 of the 9 fundamental aims for their European task force to broaden the understanding of internet addiction (33). While diagnostic criteria for internet addiction have been proposed, consensus is still lacking. The most holistic criteria, which considered previous proposals and conducted a validation and clinical trials, was brought about in 2010 (34). Previously, Young's Diagnostic Questionnaire and Young's Internet Addiction Test were developed by using the criteria for diagnosis of pathological gambling or other conventional addictions as a basis (35, 36).

The current situation engenders a precedent for other, more specific types of internet-related addictions (like IPA) to be diagnosed with a precisely developed and targeted criteria by using existing models for generalized internet addiction. This is closely linked with internet addiction being viewed as a misnomer and an obsolete description by Starcevic (37). The author suggests the use of independent terms describing addictions caused by different types of content on the internet (for e.g., IPA, internet gaming disorder, etc.) instead of using just internet addiction (which is too generalized and non-specific) (37). Therefore, the need for a more wide-spectrum diagnostic criteria, especially in the backdrop of COVID-19, is rapidly becoming more and more pressing. A subjective method is needed to ascertain and diagnose the addictive aspect of specific types of content (comparable to conventional types of substances) being consumed while using the internet as a conduit. The I-PACE model (38) is one recent development that can be used as a basis to develop further screening or diagnosing methods for different types of internet addiction, or at least as a way of labeling the disorders (for e.g., based on the “first-choice” content used and/or mixed if 2 types of contents are co-dominant). This, however, will only be possible if enough empirical data is collected to ascertain the validity of this framework in clinical scenarios.

In contrast to the ICD-10 that included the category of “excessive sexual drive” without a description of symptoms but referencing “nymphomania” and “satyriasis,” the ICD-11 guidelines describe Compulsive Sexual Behavior Disorder (placed in the Mental and Behavioral Disorders chapter) as a “persistent pattern of failure to control intense, repetitive sexual impulses or urges resulting in repetitive sexual behavior” (15). However, the ICD-11 avoids focusing on etiological issues like traumatic sexual experiences that might lead an individual to use sex as a coping strategy in response to negative emotions.

The Influence of COVID-19 and the Lockdown

During the COVID-19 imposed lockdowns across the world, the internet offered never-ending distractions for people forced to stay home. A study conducted on subjects older than 60 showed significantly increased internet use with a 64.1% rise in usage of online communication applications like Zoom/WhatsApp and a 41.7% rise in using the internet for daily errands, showing how even middle-aged subjects and older adults who were not spending a long time on the internet previously, have been quasi-forced to adopt online activities because of multiple pressures such as conversion of on-site workplaces to internet-based work-from-home environments and the need to stay updated with COVID-related news and family (39).

The COVID-19 lockdown translated into physical isolation, driving individuals to waste time online with no definite purpose, spending longer, abnormal durations of time online when bored (40), leading to increased consumption of online pornography. In 2019, Pornhub, one of the world's largest pornographic video-sharing websites, received 42 billion visits—roughly 5 times the world's population (41). But the pandemic seems to have caused an even sharper and more noticeable surge in traffic on pornographic websites. Pornhub has shared statistics on a regular basis revealing the changes and trends in the consumption of their content, showing a constantly positive deviation from average traffic on an average pre-pandemic day (42). A study employing Google Trends and joint point regression analysis demonstrated a significant rise (compared to last 4 years) in interest for pornographic websites in countries with “stay at home orders” (43).

To put the 2 timelines (lockdown and rise in pornographic websites' traffic) relative to each other, Figure 1 presents the peak percentage change of 8 countries, along with the date on which the peak was reached and the date when a major lockdown was instated.

FIGURE 1
www.frontiersin.org

Figure 1. Peak Increase in Traffic compared to an average day (before the pandemic) on Pornhub during COVID-19 Pandemic with Starting Date of Lockdown and Date of Peak Increase in Traffic in Selected Countries. This figure has been generated by the authors of this review based on data from Pomhub Insights (data from observations in the period from February 24 to March 17, 2020, retrieved from: https://www.pornhub.com/insights/corona-virus) and BBC News (data from observations in the period from January 15 to April 1, 2020, retrieved from: https://www.bbc.com/news/world-52103747). *Date of lockdown unclear **Localized lockdowns started earlier (date here refers to nationwide lockdown).

It is relevant to discuss Cooper's “Triple-A Engine” model (44) based on accessibility, affordability, and anonymity and how these factors may have been impacted by the lockdown. Smartphones dramatically increased accessibility to online content, enticing some people, who otherwise might have not done it, to consume pornography (45). On March 17, 2020, Pornhub announced free services for France on its Twitter account, which was followed by the highest increase in traffic the same day. Italy and Spain were also offered free premium content from Pornhub, causing an enormous spike in user traffic. Affordability, even pre-COVID, was at an all-time high with most video-sharing websites allowing users to watch free content without any kind of financial commitment.

Cooper's concept of anonymity can be extrapolated to the idea of privacy as well. Due to the taboo nature of pornography in several cultures (46), individuals prefer anonymity online. This attraction to anonymity is also related to feelings of sexual freedom and expression (44). While some areas of India and most Islamic countries restrict access to pornography online due to social and/or religious reasons (47), laws regarding pornography vary widely across the world. Still, a ban/restriction can be circumvented due to the advent of virtual private networks (VPN), increasing accessibility and providing an additional layer of online anonymity. In fact, worldwide interest in VPNs on Google has shown a peak on 17th March 2020, and countries that were hit the hardest by pandemic there have been up to a 160% increase in VPN usage between March 8 and 22 (48) (temporally associated with a rise in Pornhub use, as shown in Figure 1). Furthermore, on August 28th, due to a technical error, Zoom had stopped working from 8 a.m. to 2 p.m. (in the United Kingdom and East Coast of the United States), and a peak 6.8% increase in porn usage was noticed during that time' (42).

Döring explains how technology-mediated sexual contact, which was previously a relatively taboo subject, was now normalized, and sometimes even openly endorsed by authorities as the safer option compared to in-person sexual interactions. Pornography use, specifically, is considered positive and called a “constructive coping behavior” to overcome “boredom and fear” (49). Searches using the words ‘corona’ (18 million) or ‘quarantine’ (11 million) have also been notable on Pornhub. This is what some have termed “eroticization of fear” (50), but others feel that viewing aggressive pornographic content could potentially fuel an individual's abusive sexual tendencies (51). The COVID-19 pandemic has limited possibilities for casual sex and other behaviors, making individuals lean to pornography as the most accessible, affordable, and anonymous alternative (52). An intriguing risk-factor is described under “moral incongruence” and connected to religiosity and morality of an individual (53). It argues that a person will be at higher risk of developing an addiction to pornography due to the perceived misalignment with one's behaviors and one's beliefs (for example, religious). Even a “normal” duration spent on pornography can cause symptoms of pornography addiction (54) (distress and preoccupation) due to the conflicting behaviors and beliefs. Return to troubled families can also be a risk-factor during COVID-19, as dysfunctional or weak family relations have also been correlated with greater pornography use, particularly in adolescents (55).

Davis proposed that the combination of a “diathesis” (an underlying vulnerability) with a “stress” (such as the current pandemic and/or the lockdown) could prompt the development of a PUI (12), a proposition supported by other authors (5658). This would place individuals with underlying psychopathology at greater risk. Studies have also proven an association of conditions like attention-deficit/hyperactivity disorder (ADHD) with increased risk of internet addiction (49). Underlying psychopathology may also cause an increase in porn consumption as a “compensation” method. “Forced abstinence” from an addictive behavior (like a period of inability to play an online game) has the potential to cause withdrawal, leading the individual to explore other ways to compensate and fill in the gaps (59), explaining how such behavior toward one medium can outgrow into others. A study from South Africa highlighted the possible “substitution” of an original addiction with new behaviors during periods of forced abstinence, specifically highlighting a case that used pornography as a substitute due to its easy attainability even during the lockdown (60).

Further, “escapism” is a relevant concept when analyzing the use of pornography by those suffering from body image issues. There is a presumed association with excessive internet (and pornography) use and body image avoidance (61) as individuals can control their image online and find this escape sexually liberating. It has been reported through a cross-sectional study (62) and explained through etiological models (12, 63, 64) that an association between social anxiety and internet addiction exists because individuals like their “ideal self” online (65) and prefer it over face-to-face communication.

Prevention and Harm Reduction in the Post-Pandemic Era

Keeping in mind the current COVID-19 pandemic and the related restrictive and containment measures (e.g., the lockdown), addiction and mental health professionals should take into account not only the subsequent psychosocial burden, the emergence of new psychiatric onset (or relapse and/or worsening of preexisting psychopathologies) amongst the most vulnerable people, but also the tangible and concrete risk that the emergence of behavioral addictions has steeply risen. Local and international authorities have released guidelines to curb problematic internet use (66) and Table 1 adapts them to present suggestions specific to POPU.

TABLE 1
www.frontiersin.org

Table 1. General and Specific guidance for curbing problematic online pornography use.

Pornography or internet addiction can make “re-adaptation” after the pandemic complicated and difficult to cope for individuals who have, owing to elongated periods of staying at home, adopted this lifestyle and have developed a dependence on these activities as an essential part of their lives (67). Some articles have warned about pornography consumption normalizing violence against women and potentially leading people to engage in it in real life during the lockdown when women are alone with men in the house (68). Döring therefore stresses on target-specific sex education, especially for adolescents, to avoid any negative outcome (49). While many recommendations for treatment plans of internet addiction and IPA have been published, they essentially revolve around supporting the individual's needs, controlling damage to and rehabilitating interpersonal relationships, and preventing relapse (69).

Pharmacological interventions with different drugs like naltrexone (22) or quetiapine with citalopram (70) have been examined. Paroxetine has been used to treat IPA and has shown partial efficacy (71). Psychological treatments have acted as a key tool in treating addictions. Showing positive results for internet addiction in 2013 (72), cognitive-behavioral therapy (CBT), which lasts for 12 weeks and has a 6-month follow up, has been one of the most-studied psychological therapy used for behavioral addictions (73, 74). Another 12-week model is the acceptance and commitment therapy (ACT) (75), shown to be effective in IPA. Twelve-step treatment programs have been historically successful in tackling addictions by also significantly reducing comorbidities like depression. It is however suggested that a combination of both pharmacological and psychological is essential to effectively tackle addiction (76). Brand et al. suggests that combined intervention to target the mediating and moderating factors (in the I-PACE model explaining the development) of such behaviors as predisposing vulnerability (genetic or neurobiological) usually remains unaffected (38). In 2014, Brand et al. highlighted the importance of evaluating patients' coping style for effective treatment and recovery (77). In the COVID-19 era and beyond, employing telepsychiatry with online support groups is possibly going to prove beneficial (78).

Greater awareness of the potential risks during the lockdown can help break the stereotype of behavioral addictions and encourage seeking help from competent professionals. Realizing that such behaviors potentially affect the community as a whole can help in prevention by means of more thorough guidelines and easy-to-access information.

As opposed to many substances of abuse, the object and means of behavioral addictions, including the internet, are ubiquitous in daily life and hard to avoid; they are even needed. Prevention of first exposure to the internet, and then complete abstinence from the internet for people already using it seems particularly unrealistic. Thus, primary prevention of PUI and rehabilitation of individuals with internet-related psychopathology will usually require the integration of internet use into a healthy lifestyle, having its own place and priorities within the personal, professional, and relational goals and duties of each individual.

Table 1 offers specific and general guidance for prevention and alleviation of problematic online pornography use; most of the points presented there are valid for PUI in general. These include the incorporation of healthy physical routines and leisure activities as alternatives or replacements of pornography, the maintenance of meaningful social relationships, monitoring screen time, and seeking specific help when needed.

Conclusion

Problematic internet and online pornography use have been reported to constitute an increasing burden in public mental health since the 2000s, yet psychopathological models and diagnostic criteria have lacked consensus, and the body of evidence on the effectiveness of therapeutic approaches is still in scarce. The COVID-19 pandemic has forced millions indoors and needed of the mediation of screens to work, maintain social interactions, and carry out everyday activities such as shopping; this has exposed many to a higher risk of developing or worsening problematic use of internet and pornography.

The current pandemic and its aftermath represent a challenge and an opportunity to revisit the conceptual discussions on these internet-mediated problems and to advance etiological and epidemiological research, agree on diagnostic criteria, and identify effective interventions to better understand and minimize the individual and social impact of these. We hope our review provides an up-to-date perspective on the topic and guidance to start addressing the problems of pathological internet and online pornography use.

Author Contributions

AA and IU conceived the original idea and designed the outlines of the study. HA, AA, MD, IU, VP-S, and SV wrote the draft of the manuscript. HA, AA, MD, and IU prepared the figures of the manuscript. VP-S, RRam, LO, RF, MO, RRan, AV, and SV performed the literature review and improved the manuscript. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. (2020) 20:533–4. doi: 10.1016/S1473-3099(20)30120-1

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Dong H, Yang F, Lu X, Hao W. Internet addiction and related psychological factors among children and adolescents in China during the coronavirus disease 2019 (COVID-19) epidemic. Front Psychiatry. (2020) 11:751. doi: 10.3389/fpsyt.2020.00751

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Siste K, Hanafi E, Sen LT, Christian H, Adrian, Siswidiani LP, et al. The impact of physical distancing and associated factors towards internet addiction among adults in Indonesia during COVID-19 pandemic: a nationwide web-based study. Front Psychiatry. (2020) 11:580977. doi: 10.3389/fpsyt.2020.580977

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Zoe Thomas. Netflix Gets 16 Million New Sign-Ups Thanks to Lockdown. BBC (2020). Available online at: https://www.bbc.com/news/business-52376022

Google Scholar

5. Noah Smith. The Giants of the Video Game Industry Have Thrived in the Pandemic. Can the Success Continue? The Washington Post (2020). Available online at: https://www.washingtonpost.com/video-games/2020/05/12/video-game-industry-coronavirus/

Google Scholar

6. Sun Y, Li Y, Bao Y, Meng S, Sun Y, Schumann G, et al. Brief report: increased addictive internet and substance use behavior during the COVID-19 pandemic in China. Am J Addict. (2020) 29:268–70. doi: 10.1111/ajad.13066

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Lin MP. Prevalence of internet addiction during the COVID-19 outbreak and its risk factors among junior high school students in Taiwan. Int J Environ Res Public Health. (2020) 17:8547. doi: 10.3390/ijerph17228547

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Kandell JJ. Internet addiction on campus: the vulnerability of college students. Cyberpsychol Behav. (1998) 1:11–7. doi: 10.1089/cpb.1998.1.11

CrossRef Full Text | Google Scholar

9. Shaw M, Black DW. Internet addiction: definition, assessment, epidemiology and clinical management. CNS Drugs. (2008) 22:353–65. doi: 10.2165/00023210-200822050-00001

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Weinstein A, Lejoyeux M. Internet addiction or excessive internet use. Am J Drug Alcohol Abuse. (2010) 36:277–83. doi: 10.3109/00952990.2010.491880

CrossRef Full Text | Google Scholar

11. Young KS. Psychology of computer use: XL. Addictive use of the Internet: a case that breaks the stereotype. Psychol Rep. (1996) 79 (3 Pt. 1):899–902. doi: 10.2466/pr0.1996.79.3.899

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Davis RA. A cognitive-behavioral model of pathological internet use. Comput Hum Behav. (2001) 17:187–95. doi: 10.1016/S0747-5632(00)00041-8

CrossRef Full Text | Google Scholar

13. Brand M, Young KS, Laier C. Prefrontal control and internet addiction: a theoretical model and review of neuropsychological and neuroimaging findings. Front Hum Neurosci. (2014) 8:375. doi: 10.3389/fnhum.2014.00375

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Meerkerk GJ, Van Den Eijnden RJ, Garretsen HF. Predicting compulsive internet use: it's all about sex! Cyberpsychol Behav. (2006) 9:95–103. doi: 10.1089/cpb.2006.9.95

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Stein DJ, Phillips KA, Bolton D, Fulford KW, Sadler JZ, Kendler KS. What is a mental/psychiatric disorder? From DSM-IV to DSM-V. Psychol Med. (2010) 40:1759–65. doi: 10.1017/S0033291709992261

CrossRef Full Text | Google Scholar

16. Hilton DL Jr. Pornography addiction - a supranormal stimulus considered in the context of neuroplasticity. Socioaffect Neurosci Psychol. (2013) 3:20767. doi: 10.3402/snp.v3i0.20767

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Darnai G, Perlaki G, Zsidó AN, Inhóf O, Orsi G, Horváth R, et al. Internet addiction and functional brain networks: task-related fMRI study. Sci Rep. (2019) 9:15777. doi: 10.1038/s41598-019-52296-1

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Blum K, Chen AL, Giordano J, Borsten J, Chen TJ, Hauser M, et al. The addictive brain: all roads lead to dopamine. J Psychoactive Drugs. (2012) 44:134–43. doi: 10.1080/02791072.2012.685407

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Banz BC, Yip SW, Yau YH, Potenza MN. Behavioral addictions in addiction medicine: from mechanisms to practical considerations. Prog Brain Res. (2016) 223:311–28. doi: 10.1016/bs.pbr.2015.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Lee YS, Han D, Yang KC, Daniels MA, Na C, Kee BS, et al. Depression like characteristics of 5HTTLPR polymorphism temperament in excessive internet users. J Affect Disord. (2008) 109:165–9. doi: 10.1016/j.jad.2007.10.020

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Voon V, Mole TB, Banca P, Porter L, Morris L, Mitchell S, et al. Neural correlates of sexual cue reactivity in individuals with and without compulsive sexual behaviours. PLoS ONE. (2014) 9:e102419. doi: 10.1371/journal.pone.0102419

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Bostwick JM, Bucci JA. Internet sex addiction treated with naltrexone. Mayo Clin Proc. (2008) 83:226–30. doi: 10.4065/83.2.226

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Kühn S, Gallinat J. Brain structure and functional connectivity associated with pornography consumption: the brain on porn. JAMA Psychiatry. (2014) 71:827–34. doi: 10.1001/jamapsychiatry.2014.93

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Gola M, Wordecha M, Sescousse G, Lew-Starowicz M, Kossowski B, Wypych M, et al. Can pornography be addictive? An fMRI study of men seeking treatment for problematic pornography use. Neuropsychopharmacology. (2017) 42:2021–31. doi: 10.1038/npp.2017.78

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Tinbergen N. The Study of Instinct. Oxford: Clarendon Press. (1951).

Google Scholar

26. Barrett D. Supernormal Stimuli: How Primal Urges Overran Their Evolutionary Purpose. New York, NY: WW Norton & Company (2010).

Google Scholar

27. Love T, Laier C, Brand M, Hatch L, Hajela R. Neuroscience of internet pornography addiction: a review and update. Behav Sci. (2015) 5:388–433. doi: 10.3390/bs5030388

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Doidge N. The Brain That Changes Itself: Stories of Personal Triumph From the Frontiers of Brain Science. New York, NY: Penguin Books. (2007).

Google Scholar

29. Park BY, Wilson G, Berger J, Christman M, Reina B, Bishop F, et al. Is internet pornography causing sexual dysfunctions? A review with clinical reports. Behav Sci. (2016) 6:17. doi: 10.3390/bs6030017

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Leeman RF, Rowland BHP, Gebru NM, Potenza MN. Relationships among impulsive, addictive and sexual tendencies and behaviours: a systematic review of experimental and prospective studies in humans. Philos Trans R Soc Lond Ser B Biol Sci. (2019) 374:20180129. doi: 10.1098/rstb.2018.0129

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Briken P, Basdekis-Jozsa R. Sexual addiction? When sexual behavior gets out of control. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. (2010) 53:313–8. doi: 10.1007/s00103-010-1033-z

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Bancroft J, Vukadinovic Z. Sexual addiction, sexual compulsivity, sexual impulsivity, or what? Toward a theoretical model. J Sex Res. (2004) 41:225–34. doi: 10.1080/00224490409552230

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Fineberg NA, Demetrovics Z, Stein DJ, Ioa nnidis K, Potenza MN, Grünblatt E, et al. Manifesto for a european research network into problematic usage of the internet. Eur Neuropsychopharmacol. (2018) 28:1232–46. doi: 10.1016/j.euroneuro.2018.08.004

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Tao R, Huang X, Wang J, Zhang H, Zhang Y, Li M. Proposed diagnostic criteria for internet addiction. Addiction. (2010) 105:556–64. doi: 10.1111/j.1360-0443.2009.02828.x

CrossRef Full Text | Google Scholar

35. Young K. Internet addiction: the emergence of a new clinical disorder. Cyber Psychol Behav. (1998) 1:237–44. doi: 10.1089/cpb.1998.1.237

CrossRef Full Text | Google Scholar

36. Young K. Internet addiction: diagnosis and treatment considerations. J Contemp Psychother. (2009) 39:241–6. doi: 10.1007/s10879-009-9120-x

CrossRef Full Text | Google Scholar

37. Starcevic V. Is internet addiction a useful concept? Aust N Z J Psychiatry. (2013) 47:16–9. doi: 10.1177/0004867412461693

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Brand M, Young KS, Laier C, Wölfling K, Potenza MN. Integrating psychological and neurobiological considerations regarding the development and maintenance of specific internet-use disorders: an interaction of person-affect-cognition-execution (I-PACE) model. Neurosci Biobehav Rev. (2016) 71:252–66. doi: 10.1016/j.neubiorev.2016.08.033

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Nimrod G. Changes in internet use when coping with stress: older adults during the COVID-19 pandemic. Am J Geriatr Psychiatry. (2020) 28:1020–4. doi: 10.1016/j.jagp.2020.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Koyuncu T, Unsal A, Arslantas D. Assessment of internet addiction and loneliness in secondary and high school students. J Pak Med Assoc. (2014) 64:998–1002.

PubMed Abstract | Google Scholar

41. Pornhub. The 2019 Year in Review. (2019). Available online at: https://www.pornhub.com/insights/2019-year-in-review

Google Scholar

42. Pornhub.Coronavirus Insights. (2020). Available online at: https://www.pornhub.com/insights/corona-virus

Google Scholar

43. Zattoni F, Gül M, Soligo M, Morlacco A, Motterle G, Collavino J, et al. The impact of COVID-19 pandemic on pornography habits: a global analysis of google trends. Int J Impot Res. (2020) 1–8. doi: 10.1038/s41443-020-00380-w

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Cooper A. Sexuality and the internet: surfing into the new millennium. Cyber Psychol Behav. (1998) 1:187–93. doi: 10.1089/cpb.1998.1.187

CrossRef Full Text | Google Scholar

45. de Alarcón R, de la Iglesia JI, Casado NM, Montejo AL. Online porn addiction:what we know and what we don't-a systematic review. J Clin Med. (2019) 8:91. doi: 10.3390/jcm8010091

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Gesser-Edelsburg A, Arabia MA. Discourse on exposure to pornography content online between arab adolescents and parents: qualitative study on its impact on sexual education and behavior. J Med Internet Res. (2018) 20:e11667. doi: 10.2196/11667

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Yen Lai P, Dong Y, Wang M, Wang X. The intervention and regulation of pornography: internal punishment, negative externality, and legal paternalism. J Glob Econ. (2014) 3:128. doi: 10.4172/2375-4389.1000128

CrossRef Full Text | Google Scholar

48. Statista. COVID-19 and VPN Usage Increase in Selected Countries as of March 2020. (2020). Available online at: https://www.statista.com/statistics/1106137/vpn-usagecoronavirus

Google Scholar

49. Döring N. How is the COVID-19 pandemic affecting our sexualities? An overview of the current media narratives and research hypotheses. Arch Sex Behav. (2020) 49:1–14. doi: 10.1007/s10508-020-01790-z

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Lehmiller JJ. How the pandemic is changing pornography. Psychol Today. (2020). Available online at: https://www.psychologytoday.com/us/blog/the-mythssex/202003/how-the-pandemic-is-changing-pornography

Google Scholar

51. Daryl A, Hal B. Coronavirus Porn is the Latest Violent and Disturbing Internet Trend. The Independent. (2020). Available online at: https://www.independent.co.uk/voices/porn-pornhub-coronavirus-covid-19-xnxxxvideos-youtube-a9485521.html

Google Scholar

52. Mestre-Bach G, Blycker GR, Potenza MN. Pornography use in the setting of the COVID-19 pandemic. J Behav Addict. (2020) 9:181–3. doi: 10.1556/2006.2020.00015

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Grubbs JB, Perry SL. Moral incongruence and pornography use: a critical review and integration. J Sex Res. (2018) 56:1–9. doi: 10.1080/00224499.2018.1427204

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Kohut T, Štulhofer A. The role of religiosity in adolescents' compulsive pornography use: a longitudinal assessment. J Sex Marital Ther. (2018) 44:759–75. doi: 10.1080/0092623X.2018.1466012

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Peter J, Valkenburg PM. Adolescents and pornography: a review of 20 years of research. J Sex Res. (2016) 53:509–31. doi: 10.1080/00224499.2016.1143441

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Li J, Yang Z, Qiu H, Wang Y, Jian L, Ji J, et al. Anxiety and depression among general population in China at the peak of the COVID-19 epidemic. World Psychiatry. (2020) 19:249–50. doi: 10.1002/wps.20758

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Ettman CK, Abdalla SM, Cohen GH, Sampson L, Vivier PM, Galea S. Prevalence of depression symptoms in US adults before and during the COVID-19 pandemic. JAMA Netw Open. (2020) 3:e2019686. doi: 10.1001/jamanetworkopen.2020.19686

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Hyland P, Shevlin M, McBride O, Murphy J, Karatzias T, Bentall RP, et al. Anxiety and depression in the republic of Ireland during the COVID-19 pandemic. Acta Psychiatr Scand. (2020) 142:249–56. doi: 10.1111/acps.13219

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Castro-Calvo J, Ballester-Arnal R, Potenza MN, King DL, Billieux J. Does “forced abstinence” from gaming lead to pornography use? Insight from the April 2018 crash of fortnite's servers. J Behav Addict. (2018) 7:501–2. doi: 10.1556/2006.7.2018.78

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Sinclair DL, Vanderplasschen W, Savahl S, Florence M, Best D, Sussman S. Substitute addictions in the context of the COVID-19 pandemic. J Behav Addict. (2020) 2020:91. doi: 10.1556/2006.2020.00091

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Rodgers RF, Melioli T, Laconi S, Bui E, Chabrol H. Internet addiction symptoms, disordered eating, and body image avoidance. Cyberpsychol Behav Soc Netw. (2013) 16:56–60. doi: 10.1089/cyber.2012.1570

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Weinstein A, Dorani D, Elhadif R, Bukovza Y, Yarmulnik A, Dannon P. Internet addiction is associated with social anxiety in young adults. Ann Clin Psychiatry. (2015) 27:4–9.

PubMed Abstract | Google Scholar

63. Caplan SE. Preference for online social interaction: a theory of problematic Internet use and psychosocial well-being. Communi Res. (2003) 30: 625–48. doi: 10.1177/0093650203257842

CrossRef Full Text | Google Scholar

64. Wallace P. The Psychology of the Internet. New York, NY: Cambridge University Press (1999).

Google Scholar

65. Li D, Liau A, Khoo A. Examining the influence of actual-ideal self-discrepancies, depression, and escapism, on pathological gaming among massively multiplayer online adolescent gamers. Cyberpsychol Behav Soc Netw. (2011) 14:535–9. doi: 10.1089/cyber.2010.0463

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Király O, Potenza MN, Stein DJ, King DL, Hodgins DC, Saunders JB, et al. Preventing problematic internet use during the COVID-19 pandemic: consensus guidance. Compr Psychiatry. (2020) 100:152180. doi: 10.1016/j.comppsych.2020.152180

PubMed Abstract | CrossRef Full Text | Google Scholar

67. King DL, Delfabbro PH, Billieux J, Potenza MN. Problematic online gaming and the COVID-19 pandemic. J Behav Addict. (2020) 9:184–6. doi: 10.1556/2006.2020.00016

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Kaye Q, Meagan T. When Staying Home Isn't Safe: COVID-19, Pornography and the Pandemic of Violence Against Women. ABC (2020). Available at: https://www.abc.net.au/religion/coronavirus-pornography-and-the-pandemic-ofviolence-against-wo/12131020

Google Scholar

69. Southern S. Treatment of compulsive cybersex behavior. Psychiatr Clin North Am. (2008) 31:697–712. doi: 10.1016/j.psc.2008.06.003

CrossRef Full Text | Google Scholar

70. Atmaca M. A case of problematic internet use successfully treated with an SSRI antipsychotic combination. Prog Neuropsychopharmacol Biol Psychiatry. (2007) 31:961–2. doi: 10.1016/j.pnpbp.2007.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Gola M, Potenza MN. paroxetine treatment of problematic pornography use: a case series. J Behav Addict. (2016) 5:529–32. doi: 10.1556/2006.5.2016.046

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Young KS. Treatment outcomes using CBT-IA with internet-addicted patients. J Behav Addict. (2013) 2:209–15. doi: 10.1556/JBA.2.2013.4.3

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Mihajlov M, Vejmelka L. Internet addiction: a review of the first twenty years. Psychiatria Danubina. (2017) 29:260–72. doi: 10.24869/psyd.2017.260

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Egorov AY, Grechanyi SV. Sovremennye podkhody k terapii i korrektsii internetaddiktsii [Current approaches to the treatment and correction of internet addiction]. Zh Nevrol Psikhiatr Im S S Korsakova. (2019) 119:152–9. doi: 10.17116/jnevro2019119061152

CrossRef Full Text | Google Scholar

75. Crosby JM, Twohig MP. Acceptance and commitment therapy for problematic internet pornography use: a randomized trial. Behav Ther. (2016) 47:355–66. doi: 10.1016/j.beth.2016.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Przepiorka AM, Blachnio A, Miziak B, Czuczwar SJ. Clinical approaches to treatment of internet addiction. Pharmacol Rep. (2014) 66:187–91. doi: 10.1016/j.pharep.2013.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Brand M, Laier C, Young KS. Internet addiction: coping styles, expectancies, and treatment implications. Front Psychol. (2014) 5:1256. doi: 10.3389/fpsyg.2014.01256

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Ramalho R, Adiukwu F, Gashi Bytyçi D, El Hayek S, Gonzalez-Diaz JM, Larnaout A, et al. Telepsychiatry and healthcare access inequities during the COVID-19 pandemic. Asian J Psychiatr. (2020) 53:102234. doi: 10.1016/j.ajp.2020.102234

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: COVID-19, problematic internet use, pornography, behavioral addictions, mental health

Citation: Awan HA, Aamir A, Diwan MN, Ullah I, Pereira-Sanchez V, Ramalho R, Orsolini L, de Filippis R, Ojeahere MI, Ransing R, Vadsaria AK and Virani S (2021) Internet and Pornography Use During the COVID-19 Pandemic: Presumed Impact and What Can Be Done. Front. Psychiatry 12:623508. doi: 10.3389/fpsyt.2021.623508

Received: 30 October 2020; Accepted: 08 February 2021;
Published: 16 March 2021.

Edited by:

Hironobu Fujiwara, Kyoto University Hospital, Japan

Reviewed by:

Orsolya Király, Eötvös Loránd University, Hungary
Biljana Gjoneska, Macedonian Academy of Sciences and Arts, North Macedonia

Copyright © 2021 Awan, Aamir, Diwan, Ullah, Pereira-Sanchez, Ramalho, Orsolini, de Filippis, Ojeahere, Ransing, Vadsaria and Virani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sanya Virani, sanya.virani@yale.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.