A Review of Behavioral Interventions for Compulsive Sexual Behavior Disorder

Borgogna, Nicholas C.; Garos, Sheila; Meyer, Cody L.; Trussell, Mikaela R; Kraus, Shane W.

doi:10.1007/s40429-022-00422-x

Cited by 16 publications

(4 citation statements)

References 61 publications

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“…Out of more than 700 potential variables, the final list of risk factors included characteristics specifically related to pornography use (e.g., moral incongruence) as well as more general factors (e.g., depressive symptoms). Not only do the present findings contribute to the refinement of current theoretical models but can also provide empirically based knowledge to develop effective, scientifically based prevention and intervention programs targeting PPU, which are currently missing from the literature and clinical care (Antons et al, 2022;Borgogna et al, 2022; Note. This table includes all variables that were included in at least 10 data sets and that emerged as significant predictors in at least 50% of the data sets in which they were included.…”

Section: Discussionmentioning

confidence: 82%

Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.

Bőthe,

Vaillancourt-Morel,

Bergeron

et al. 2024

Journal of Psychopathology and Clinical Science

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Section: Discussionmentioning

confidence: 82%

Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.

Bőthe,

Vaillancourt-Morel,

Bergeron

et al. 2024

Journal of Psychopathology and Clinical Science

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“…From a public health perspective, PPU may not be more prevalent than other mental health issues and may not meet the criteria of a public health crisis, despite increasing moral panic around pornography [81][82][83]. However, PPU is prevalent, and thus systematic approaches are needed to more clearly understand this behavior and provide evidence-based, accessible, and affordable treatments for it [7,71,81,84,85]. In line with this notion, strikingly, only 4-10% of the individuals in the PPU+ group sought treatment for PPU, while an additional 21-37% did not do so due to various reasons (e.g.…”

Section: Discussionmentioning

confidence: 99%

Problematic pornography use across countries, genders, and sexual orientations: Insights from the International Sex Survey and comparison of different assessment tools

Bőthe,

Nagy,

Koós

et al. 2024

Addiction

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Background and aimsProblematic pornography use (PPU) is a common manifestation of the newly introduced Compulsive Sexual Behavior Disorder diagnosis in the 11th edition of the International Statistical Classification of Diseases and Related Health Problems. Although cultural, gender‐ and sexual orientation‐related differences in sexual behaviors are well documented, there is a relative absence of data on PPU outside Western countries and among women as well as gender‐ and sexually‐diverse individuals. We addressed these gaps by (a) validating the long and short versions of the Problematic Pornography Consumption Scale (PPCS and PPCS‐6, respectively) and the Brief Pornography Screen (BPS) and (b) measuring PPU risk across diverse populations.MethodsUsing data from the pre‐registered International Sex Survey [n = 82 243; mean age (Mage) = 32.4 years, standard deviation = 12.5], a study across 42 countries from five continents, we evaluated the psychometric properties (i.e. factor structure, measurement invariance, and reliability) of the PPCS, PPCS‐6, and BPS and examined their associations with relevant correlates (e.g. treatment‐seeking). We also compared PPU risk among diverse groups (e.g. three genders).ResultsThe PPCS, PPCS‐6, and BPS demonstrated excellent psychometric properties [for example, comparative fit index = 0.985, Tucker–Lewis Index = 0.981, root mean square error of approximation = 0.060 (90% confidence interval = 0.059–0.060)] in the confirmatory factor analysis, with all PPCS’ inter‐factor correlations positive and strong (rs = 0.72–0.96). A total of 3.2% of participants were at risk of experiencing PPU (PPU+) based on the PPCS, with significant country‐ and gender‐based differences (e.g. men reported the highest levels of PPU). No sexual orientation‐based differences were observed. Only 4–10% of individuals in the PPU+ group had ever sought treatment for PPU, while an additional 21–37% wanted to, but did not do so for specific reasons (e.g. unaffordability).ConclusionsThis study validated three measures to assess the severity of problematic pornography use across languages, countries, genders, and sexual orientations in 26 languages: the Problematic Pornography Consumption Scale (PPCS, and PPCS‐6, respectively), and the Brief Pornography Screen (BPS). The problematic pornography use risk is estimated to be 3.2–16.6% of the population of 42 countries, and varies among different groups (e.g. genders) and based on the measure used.

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“…Third, in echoing the sentiments of Borgogna, Garos, Meyer, Trussell, and Kraus (2022) , more funding is necessary for CSBD projects. Particularly, federal funding mechanisms across the developed world are needed to advance the programs of research necessary to identify valid CSBD models.…”

Section: So Where Do We Go?mentioning

confidence: 99%

Another failure of the latent disease model? The case of compulsive sexual behavior disorder •

Borgogna

Aita

2022

JBA

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Recent debates have evolved regarding the classification/conceptualization of compulsive sexual behavior disorder (CSBD). Conclusions regarding an agreed upon CSBD model are hindered by reliance on the latent disease model. Competing biological-based frameworks are moving forward to replace latent disease classification more broadly but have been met with limited success. We suggest that CSBD researchers move towards developing dimensional, transtheoretical, process-based models. We further suggest additional research, particularly mixed methods and longitudinal studies. Finally, we request that federal funding bodies take a more active role in supporting CSBD research.

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A Review of Behavioral Interventions for Compulsive Sexual Behavior Disorder

Cited by 16 publications

References 61 publications

Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.

Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.

Problematic pornography use across countries, genders, and sexual orientations: Insights from the International Sex Survey and comparison of different assessment tools

Another failure of the latent disease model? The case of compulsive sexual behavior disorder •

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