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      Prevalence and determinants of online-sex use in the German population

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          Abstract

          Introduction

          The unlimited access to sexual features in the World Wide Web has raised concerns about excessive and problematic online-sex use. However, little is known about antecedents of internet-sex use of different intensity. Based on a representative German sample of 2,522 participants between the ages of 14 and 97 years, the aims of the present study were (1) to determine the prevalence rates of online-sex users with the short version (ISST GSV) of the Internet Sex Screening Test and (2) to associate online-sex use with anxious vs. avoidant partner attachment patterns and “Big Five” personality traits as potential antecedents.

          Results

          The ISST is a brief, one-dimensional and reliable measure of online-sex activities (r tt = .69). Overall, 14.7% of respondents reported occasional and 4.2% intensive online-sex use. In multivariate analysis, online-sex use was significantly positively associated with male sex, younger age, unemployment and an anxious partner attachment pattern and negatively with conscientiousness and agreeableness.

          Conclusions

          Arousal and satisfaction by virtual enactment of sexual phantasies may be attractive for anxiously attached persons who find it difficult to commit to a real life relationship due to fear of rejection or low self-esteem. More knowledge about the individual antecedents of intensive online-sex use may also be helpful for the development of consultation and treatment strategies for excessive and addictive online-sex use.

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          Most cited references34

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          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.

          Within the last two decades, many studies have addressed the clinical phenomenon of Internet-use disorders, with a particular focus on Internet-gaming disorder. Based on previous theoretical considerations and empirical findings, we suggest an Interaction of Person-Affect-Cognition-Execution (I-PACE) model of specific Internet-use disorders. The I-PACE model is a theoretical framework for the processes underlying the development and maintenance of an addictive use of certain Internet applications or sites promoting gaming, gambling, pornography viewing, shopping, or communication. The model is composed as a process model. Specific Internet-use disorders are considered to be the consequence of interactions between predisposing factors, such as neurobiological and psychological constitutions, moderators, such as coping styles and Internet-related cognitive biases, and mediators, such as affective and cognitive responses to situational triggers in combination with reduced executive functioning. Conditioning processes may strengthen these associations within an addiction process. Although the hypotheses regarding the mechanisms underlying the development and maintenance of specific Internet-use disorders, summarized in the I-PACE model, must be further tested empirically, implications for treatment interventions are suggested.
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            Sexuality and the Internet: Surfing into the New Millennium

            Al Cooper (1998)
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              Sexuality on the Internet: From sexual exploration to pathological expression.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                19 June 2017
                2017
                : 12
                : 6
                : e0176449
                Affiliations
                [1 ]Department of Psychosomatic Medicine and Psychotherapy, University Medical Center, Mainz, Germany
                [2 ]Faculty of Managerial and Cultural Studies, University of Applied Sciences Zittau/ Goerlitz, Goerlitz, Germany
                Ariel University, ISRAEL
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: MEB EB.

                • Data curation: SG.

                • Formal analysis: SG ANT.

                • Investigation: EB MEB.

                • Methodology: SG ANT.

                • Project administration: MEB EB.

                • Resources: EB MEB.

                • Supervision: YS-R MEB.

                • Validation: ANT.

                • Writing – original draft: MEB SG KW YS-R CS-W IR ANT EB.

                • Writing – review & editing: YS-R MEB.

                Article
                PONE-D-14-13909
                10.1371/journal.pone.0176449
                5476251
                28628620
                894ee9ec-e1c6-4306-8555-a7ce42000eef
                © 2017 Beutel et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 11 December 2014
                : 11 April 2017
                Page count
                Figures: 2, Tables: 2, Pages: 12
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Computer and Information Sciences
                Computer Networks
                Internet
                Biology and Life Sciences
                Psychology
                Personality
                Social Sciences
                Psychology
                Personality
                Biology and Life Sciences
                Psychology
                Addiction
                Behavioral Addiction
                Social Sciences
                Psychology
                Addiction
                Behavioral Addiction
                Biology and Life Sciences
                Psychology
                Addiction
                Computer Addiction
                Social Sciences
                Psychology
                Addiction
                Computer Addiction
                Biology and Life Sciences
                Psychology
                Addiction
                Social Sciences
                Psychology
                Addiction
                Biology and Life Sciences
                Psychology
                Personality
                Personality Traits
                Social Sciences
                Psychology
                Personality
                Personality Traits
                People and Places
                Demography
                People and Places
                Population Groupings
                Ethnicities
                German People
                Custom metadata
                All relevant data are within the paper and its Supporting Information file.

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