Search

The predominant approach to understand dynamic risk factors of sexual reoffending has been referred to as the Propensities Model (Thornton, 2016). According to this model, dynamic risk factors can be conceptualized as latent constructs whose change alters the risk of sexual reoffending. Despite its strengths and contributions to research, this model does not offer answers to the question of how dynamic risk factors contribute to the risk of sexual reoffending, or of how sustained change in risk might take place. In this paper we introduce the Network-Based Model of Risk of Sexual Reoffending (NBM-RSR), which addresses several limitations and constraints of the Propensities Model and offers empirically testable propositions regarding the nature and development of the risk of sexual reoffending. The NBM-RSR considers risk of sexual reoffending to involve a self-sustaining network of causally connected dynamic risk factors. Consistent with this, an increased risk of sexual reoffending is characterized through a network that contains more and stronger interconnected dynamic risk factors with a higher strength. Sustained change in risk of sexual reoffending occurs when activity in the network exceeds a critical point resulting in a new self-sustaining network. Propositions based on the NBM-RSR are introduced and translated into testable hypotheses. These propositions revolve around (a) risk of sexual reoffending resulting from the construction of a network of causally connected dynamic risk factors, (b) network stability, sudden changes, and critical transitions, and (c) dynamic risk factors' relative influence on risk of sexual reoffending. [ABSTRACT FROM AUTHOR]

Although researchers are increasingly paying attention to the dyadic nature of sexual desire and its relevance to sexual and relational outcomes, our understanding of how sexual desire operates on a couple level and how it may influence the occurrence of sexual activity in relationships remains limited. This study used ecological momentary assessments to explore to what extent similarity in levels of desire for sex with one's sexual partner, or dyadic sexual desire, was associated with sexual initiations, receptivity to one's partner's initiations, and partnered sexual activity, and how these associations were moderated by perceived partner support. Ninety-four cohabitating couples (M age= 26.30, SD = 7.60) provided six reports a day for 10 consecutive days. We used response surface analysis to examine the associations among both the degree and direction of (dis)similarity in partners' dyadic desire and each of the three outcome variables. Our results revealed that although partners tended to experience similar levels of desire on a moment-to-moment basis, similarity in desire levels was not associated with the three outcome variables. Rather, higher desire within couples predicted each partner's behavioral outcomes. At lower levels of perceived partner support, dyadic sexual desire was negatively associated with women's receptivity to sexual initiations by their partners, indicating high context-sensitivity of women's sexual responding. These findings offer new insights into the links between the similarity in partners' levels of dyadic desire and sexual behaviors in couples, suggesting the need for increased focus on maintaining desire and promoting perceived partner support in clinical practice. [ABSTRACT FROM AUTHOR]

The Dual Control Model proposes that sexual arousal and related processes are dependent on the balance between sexual excitation and sexual inhibition, and that individuals vary in their propensity for these processes. This scoping review provides an overview and discussion of the questionnaires used to measure the propensities for sexual excitation and inhibition, their translation and validation in other languages, and their application in empirical research on topics ranging from sexual desire and arousal, sexual (dys)function, sexual risk taking, asexuality, hypersexuality, and sexual aggression. A total of 152 papers, published between 2009 and 2022 and identified using online databases, were included in this review. The findings, consistent with those reviewed by Bancroft et al. (2009), suggest that sexual excitation is particularly relevant to sexual desire and responsivity and predictive of asexuality and hypersexuality. Sexual inhibition plays a role in sexual dysfunction. sexual risk taking, and sexual aggression, although often in interaction with sexual excitation. Suggestions for the further development of the model and for future studies are discussed. [ABSTRACT FROM AUTHOR]

We examined if and to what degree attachment orientations of both partners moderate the link between different behavioral characteristics of the sexual relationship and relationship satisfaction in the early stages of romantic attachment. A sample of 126 young, mixed-sex couples (N = 252, mean age = 23.3, SD = 2.4; average relationship duration = 1.9 years, SD = 0.9) filled out questionnaires assessing attachment anxiety and avoidance, a range of intimate and sexual couple behaviors, and relationship satisfaction. Exploratory factor analyses revealed two behavioral factors: Intimate behavior (kissing, cuddling) and sexual behavior (oral sex, coitus). Although frequency of sexual behavior was not directly associated with relationship satisfaction, we found a significant positive interaction with anxious attachment, indicating that higher frequencies of sexual behavior were associated with greater self-reported relationship satisfaction in more anxiously attached individuals. Exploration of the effects of intimate behaviors on relationship satisfaction revealed significant positive associations as well, but, unexpectedly, only for avoidantly attached individuals. These results call for a dyadic and differentiated approach to the study of sexuality in couples and are in line with prior findings that the impact of intimate and sexual behaviors on relationship satisfaction varies depending on attachment orientations. [ABSTRACT FROM AUTHOR]

Extant literature supports a relationship between sexual arousal and increased likelihood of sexually coercive behavior in men. The present study investigated the impact of sexual arousal on sexual coercion proclivity and the degree to which emotion regulation moderated this relationship in the context of two separate affect inductions. We predicted that sexual arousal would more strongly predict sexual coercion likelihood for men scoring lower on emotion regulation ability compared with men with above average emotion regulation abilities. Male participants with (n = 38) and without (n = 40) self-reported histories of sexual coercion were recruited from urban sexually transmitted infection testing clinics. Participants completed a measure of emotion regulation, underwent a positive and negative affect induction, viewed an erotic video, and reported on their level of sexual arousal immediately prior to completing a hypothetical sexual coercion likelihood laboratory task. Relationships between emotion regulation, sexual arousal, and sexual coercion likelihood were examined using moderation analyses. Sexual arousal was associated with greater reported sexual coercion likelihood. For men with poorer emotion regulation, sexual arousal significantly and positively predicted sexual coercion likelihood in the positive affect condition. Sexual arousal did not significantly predict sexual coercion for men with above average emotion regulation. Findings may have implications for the assessment of individual risk for coercive sexual behavior as well as primary prevention efforts. [ABSTRACT FROM AUTHOR]

The article discusses the clinical application of the Declaration on Sexual Pleasure by the World Association for Sexual Health. The declaration recognizes sexual pleasure as a fundamental human right and urges clinicians to integrate it into healthcare services. The article explores the challenges clinicians face in addressing sexual pleasure and suggests using the PLISSIT model, which emphasizes permission, limited information, specific suggestions, and intensive therapy. It emphasizes the importance of professional and personal permission, providing comprehensive and context-sensitive information, offering specific suggestions for enhancing sexual pleasure, and creating a safe space for patients to explore their options. The article concludes by highlighting the importance of using the PLISSIT model to initiate conversations about sexual pleasure and enhance patients' sexual experiences. [Extracted from the article]

The association between mood and sexual desire has been the object of significant scientific and public interest. How mood shapes and is shaped by sexual desire is typically studied within one and the same individual, yet sexual desire is often experienced in the context of a romantic relationship. To obtain a more complete picture of the relation between mood and sexual desire, we examined the temporal interplay between mood and sexual desire both within and between partners in a romantic relationship. Using data from an experience sampling study involving both partners of mixed-gender romantic couples (N = 188; Mage = 26.34, SDage = 5.33), we investigated how each partner’s mood (in terms of positive and negative affect) predicted their own sexual desire as well as that of their partner and vice versa. Results of both concurrent and temporal analyses confirmed bidirectional associations between mood and sexual desire both within and between partners, such that (1) both a person’s own and their partner’s positive mood predicted an increase in sexual desire, and a person’s own and their partner’s negative mood predicted a decrease in sexual desire. In addition, (2) both a person’s own and their partner’s sexual desire predicted an increase in positive mood, and a person’s own and their partner’s sexual desire predicted a decrease in negative mood. Only a few gender differences were found. The results underscore how sexual desire can predict and be predicted by both romantic partners’ mood, highlighting the need for interactional models of sexual desire. [ABSTRACT FROM AUTHOR]

The predominant approach to understand dynamic risk factors of sexual reoffending has been referred to as the Propensities Model (Thornton, 2016). According to this model, dynamic risk factors can be conceptualized as latent constructs whose change alters the risk of sexual reoffending. Despite its strengths and contributions to research, this model does not offer answers to the question of how dynamic risk factors contribute to the risk of sexual reoffending, or of how sustained change in risk might take place. In this paper we introduce the Network-Based Model of Risk of Sexual Reoffending (NBM-RSR), which addresses several limitations and constraints of the Propensities Model and offers empirically testable propositions regarding the nature and development of the risk of sexual reoffending. The NBM-RSR considers risk of sexual reoffending to involve a self-sustaining network of causally connected dynamic risk factors. Consistent with this, an increased risk of sexual reoffending is characterized through a network that contains more and stronger interconnected dynamic risk factors with a higher strength. Sustained change in risk of sexual reoffending occurs when activity in the network exceeds a critical point resulting in a new self-sustaining network. Propositions based on the NBM-RSR are introduced and translated into testable hypotheses. These propositions revolve around (a) risk of sexual reoffending resulting from the construction of a network of causally connected dynamic risk factors, (b) network stability, sudden changes, and critical transitions, and (c) dynamic risk factors' relative influence on risk of sexual reoffending., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Previous studies suggest there is a complex relationship between sexual and general affective stimulus processing, which varies across individuals and situations. We examined whether sexual and general affective processing can be distinguished at the brain level. In addition, we explored to what degree possible distinctions are generalizable across individuals and different types of sexual stimuli, and whether they are limited to the engagement of lower-level processes, such as the detection of visual features. Data on sexual images, nonsexual positive and negative images, and neutral images from Wehrum et al. (2013) (N = 100) were reanalyzed using multivariate support vector machine models to create the brain activation-based sexual image classifier (BASIC) model. This model was tested for sensitivity, specificity, and generalizability in cross-validation (N = 100) and an independent test cohort (N = 18; Kragel et al. 2019). The BASIC model showed highly accurate performance (94-100%) in classifying sexual versus neutral or nonsexual affective images in both datasets with forced choice tests. Virtual lesions and tests of individual large-scale networks (e.g., visual or attention networks) show that individual networks are neither necessary nor sufficient to classify sexual versus nonsexual stimulus processing. Thus, responses to sexual images are distributed across brain systems., (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.)