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Pornography use remains a common sexual activity with potentially addictive use in part of some people. Even though craving is being recognized as an important characteristic of addictive behaviors, we note a lack of a specific validated instrument measuring the pornography craving experience. The present study aimed at adapting and validating an instrument measuring the users' strength of pornography craving experience (PCE-S). Items from the "strength" part of the Craving Experience Questionnaire (CEQ) were adapted to pornography use and used to create the PCE-S. The PCE-S was then administered online to 1584 Englishspeaking participants aged 18 to 75 years old (M = 33.18; SD = 10.84]; 63.1% male, 35.2% female, and 1.7% non-binary). All participants completed an assessment of the Compulsive Cyberporn Use (CIUS adapted for cyberporn). Confirmatory factorial analysis (CFA) was used to examine the construct structure validity; Cronbach alpha coefficient, corrected itemtotal correlation, and discriminant analysis were used to assess the instrument's psychometric properties. After using the modification indices to improve the initial model, a relatively good fit for the three-factor model was confirmed. Concurrent validity with the compulsive cyberporn use (CCU) measure was demonstrated. The PCE-S discriminated between participants with high CCU scores and others with low CCU scores. A specific pornography craving experience instrument scale, based on the Elaborated Intrusion theory of desire seems to capture key constructs of the theory and correlate with measures of compulsive cyberporn use. [ABSTRACT FROM AUTHOR]

Cyberporn seems to be more addictive than other classic porn supports (e.g. magazines). Beyond its addictive risk, it would be linked to the highlighting of sexual performances without consideration of relationships and human encounters. The literature showed associations between cyberporn and the attitudes, beliefs, and sexual preferences of its users. Women most exposed to porn videos appear to be more likely to normalize rapes and violence against women. Research demonstrated that users of pornographic material are more likely to commit sexual assault. These observations invite us to think about Rape Myths Acceptance (RMA), sexual consent, and their place in the practices of compulsive cyberporn users. This study aimed to explore links between compulsive cyberporn use, RMA, and Relationships with Coercive Sexual Manipulation (RCSM), committed and endured, in a cyberporn users sample. The sample was constituted of 1584 participants (1000 men; 557 women; 27 non-binary). Participants were assessed using Compulsive Internet Use Scale adapted to cyberporn use, Acceptance of Modern Myths about Sexual Aggression scale, and Sexual Experiences Survey. We used Student's t-test, Bravais-Pearson simple correlations, Spearman correlations, and Mann-Whitney test. Results showed that compared to men with no committed RCSM, men with committed RCSM presented more compulsive cyberporn use and greater RMA. Women with committed RCSM presented more RMA and no difference in cyberporn use compared to women with no committed RCSM. Participants with endured RCSM did not present any difference compared to those with no endured RCSM. These results reveal links that should be more investigated through sexual and psychological variables in future research. [ABSTRACT FROM AUTHOR]

Background: Problematic smartphone use, like problematic internet use, is a condition for which treatment is being sought on the web. In the absence of established treatments, smartphone-provided tools that monitor or control smartphone use have become increasingly popular, and their dissemination has largely occurred without oversight from the mental health field. Objective: We aimed to assess the popularity and perceived effectiveness of smartphone tools that track and limit smartphone use. We also aimed to explore how a set of variables related to mental health, smartphone use, and smartphone addiction may influence the use of these tools. Methods: First, we conducted a web-based survey in a representative sample of 1989 US-based adults using the crowdsourcing platform Prolific. Second, we used machine learning and other statistical tools to identify latent user classes; the association between latent class membership and demographic variables; and any predictors of latent class membership from covariates such as daily average smartphone use, social problems from smartphone use, smartphone addiction, and other psychiatric conditions. Results: Smartphone tools that monitor and control smartphone use were popular among participants, including parents targeting their children; for example, over two-thirds of the participants used sleep-related tools. Among those who tried a tool, the highest rate of perceived effectiveness was 33.1% (58/175). Participants who experienced problematic smartphone use were more likely to be younger and more likely to be female. Finally, 3 latent user classes were uncovered: nonusers, effective users, and ineffective users. Android operating system users were more likely to be nonusers, whereas younger adults and females were more likely to be effective users. The presence of psychiatric symptoms did not discourage smartphone tool use. Conclusions: If proven effective, tools that monitor and control smartphone use are likely to be broadly embraced. Our results portend well for the acceptability of mobile interventions in the treatment of smartphone-related psychopathologies and, potentially, non–smartphone-related psychopathologies. Better tools, targeted marketing, and inclusive design, as well as formal efficacy trials, are required to realize their potential. J Med Internet Res 2022;24(10):e38963 doi:10.2196/38963 [ABSTRACT FROM AUTHOR]