Introduction Pornography has become popular with Internet technology. For most people, pornography use (PU) is entertainment; for some, it can result in seeking treatment for out-of-control behavior. Previous studies have suggested that PU can influence sexual behaviors, but the direct relation between frequency of PU and treatment-seeking behaviors has not been examined. Aims To investigate whether individuals seeking treatment as a consequence of their problematic PU do so because of their quantity of pornography consumption or because of more complex psychological and behavioral factors related to PU, such as the severity of negative symptoms associated with PU and/or subjective feeling of loss of control over one's behavior. Methods A survey study was conducted of 569 heterosexual Caucasian men 18 to 68 years old, including 132 seeking treatment for problematic PU (referred by psychotherapists after their initial visit). Main Outcomes Measures The main outcome measures were self-reported PU, its negative symptoms, and actual treatment-seeking behavior. Results We tested models explaining sources of seeking treatment for problematic PU with negative symptoms associated with PU and additional factors (eg, onset and number of years of PU, religiosity, age, dyadic sexual activity, and relationship status). Seeking treatment was significantly, yet weakly, correlated solely with the frequency of PU (r = 0.21, P < .05) and this relation was significantly mediated by negative symptoms associated with PU (strong, nearly full mediation effect size; k2 = 0.266). The relation between PU and negative symptoms was significant and mediated by self-reported subjective religiosity (weak, partial mediation; k2 = 0.066) in those not seeking treatment. Onset of PU and age appeared to be insignificant. Our model was fairly fitted (comparative fit index = 0.989; root mean square error of approximation = 0.06; standardized root mean square residual = 0.035) and explained 43% of the variance in treatment-seeking behavior (1% was explained by frequency of PU and 42% was explained by negative symptoms associated with PU). Conclusion Negative symptoms associated with PU more strongly predict seeking treatment than mere quantity of pornography consumption. Thus, treatment of problematic PU should address qualitative factors, rather than merely mitigating the frequency of the behavior, because frequency of PU might not be a core issue for all patients. Future diagnostic criteria for problematic PU should consider the complexity of this issue.
Compulsive sexual behavior disorder (CSBD) is currently defined in the eleventh revision of the International Classification of Diseases (ICD-11) as an impulse control disorder. Criteria for hypersexual disorder (HD) had been proposed in 2010 for the fifth revision of Diagnostic and Statistical Manual (DSM-5). In this article, we compare differences between HD and CSBD and discuss their relevance.Significant differences between HD and CSBD criteria include: (1) the role of sexual behavior as a maladaptive coping and emotion regulation strategy listed in criteria for HD but not in those for CSBD; (2) different exclusionary criteria including bipolar and substance use disorders in HD but not in CSBD, and (3) inclusion of new considerations in CSBD, such as moral incongruence (as an exclusion criterion), and diminished pleasure from sexual activity. Each of these aspects has clinical and research-related implications. The inclusion of CSBD in the ICD-11 will have a significant impact on clinical practice and research. Researchers should continue to investigate core and related features of CSBD, inlcuding those not included in the current criteria, in order to provide additional insight into the disorder and to help promote clinical advances.
Introduction: To date, multiple models of problematic pornography use have been proposed, but attempts to validate them have been scarce. Aim: In our study, we aimed to evaluate the Pornography Problems due to Moral Incongruence model proposing that self-appraisals of pornography addiction stem from (i) general dysregulation, (ii) habits of use, and (iii) moral incongruence between internalized norms and behavior. We investigated whether the model can be used to adequately explain the self-perceptions of addiction to pornography (model 1) and a broader phenomenon of problematic pornography use (model 2). Methods: An online, nationally representative study was conducted on a sample of 1036 Polish adult participants, of whom, 880 declared a lifetime history of viewing pornography. Main Outcome Measure: The outcomes were self-perceived pornography addiction, problematic pornography use, avoidant coping, frequency of pornography use, religiosity, moral disapproval of pornography, and related variables. Results: Our results indicated that avoidant coping (an indicator of general dysregulation), frequency of pornography use (indicator of habits of use), and the distress connected with incongruence between own sexual behavior and internalized norms, attitudes and beliefs positively contributed to self-perceived addiction (model 1) as well as problematic pornography use (model 2). This broadly confirms the basic shape of the PPMI model. There were, however, notable differences between the models. Moral incongruence related distress was only weakly related to self-perceived addiction (b ¼ 0.15, P < .001), with a stronger relation for problematic pornography use (b ¼ 0.31, P < .001). When controlling for other factors, religiosity weakly predicted problematic pornography use (b ¼ 0.13, P < .001), but not self-perceived addiction to pornography (b ¼ 0.03, P ¼ .368). Frequency of pornography use was the strongest predictor of both self-perceived addiction (b ¼ 0.52, P < .001) and problematic pornography use (b ¼ 0.43, P < .001). Clinical Implications: Factors proposed within the PPMI model are distinctly relevant intervention targets, and they should be considered in the process of diagnosis and treatment. Strengths & Limitations: The presented study is the first to evaluate PPMI model. Its main limitation is that it has a cross-sectional design. Conclusion: The PPMI model is a promising framework for investigating the factors related to self-perceived addiction and problematic pornography use. Despite the differences between the models and in the strength of specific predictors, (i) dysregulation, (ii) habits of use, and (iii) moral incongruence all uniquely contribute to self-perceived addiction and problematic pornography use.
Background and aimsPrevious studies examined psychological factors related to treatment seeking for problematic pornography use (PU) among males. In this study, we focused on females who seek treatment for problematic PU and compared them with non-problematic pornography users with regard to variables related to problematic PU. Second, we investigated the relationships between critical constructs related to problematic PU with the path analysis method, emphasizing the predictors for treatment seeking among women. We also compared our results with previous studies on males.MethodsA survey study was conducted on 719 Polish-speaking Caucasian females, 14–63 years old, including 39 treatment seekers for problematic PU.ResultsThe positive relationship between the mere amount of PU and treatment seeking loses its significance after introducing two other predictors of treatment-seeking: religiosity and negative symptoms associated with PU. This pattern is different from the results obtained in previous studies on males.DiscussionDifferent from previous studies on male samples, our analysis showed that in the case of women, mere amount of PU may be related to treatment-seeking behavior even after accounting for negative symptoms associated with PU. Moreover, religiousness is a significant predictor of treatment seeking among women, which may indicate that in the case of women, treatment seeking for problematic PU is motivated not only by experienced negative symptoms of PU but also by personal beliefs about PU and social norms.ConclusionFor females, negative symptoms associated with PU, the amount of PU and religiosity is associated with treatment seeking. Those factors should be considered in treatment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.