The sexual inhibition (SIS) and sexual excitation (SES) scales: II. Predicting psychophysiological response patterns

Janssen, Erick; Vorst, Harrie C. M.; Finn, Peter R.; Bancroft, John

doi:10.1080/00224490209552131

Cited by 133 publications

(115 citation statements)

References 16 publications

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“…Examples of general, nonsexual traits that have been studied and found relevant to the prediction of risky sexual behavior (e.g., number of sexual partners, consistency in using condoms) are sensation seeking, impulsivity, and harm avoidance (Bancroft et al, 2003(Bancroft et al, , 2004Gil, 2005;Hoyle et al, 2000;Lejueza, Bornovalovaa, Daughtersa, & Curtin, 2005), Examples of sexuality-related traits that have been found to be associated with risky sexual behavior are erotophilia (e.g., Fisher & Fisher, 1999) and the propensity for sexual inhibition (Bancroft et al, 2003(Bancroft et al, , 2004, as measured by the Sociosexual Orientation Survey (SOS) and the Sexual Inhibition/Sexual Excitation scales (SIS/SES), respectively. Interestingly, both measures have been found to be predictive of sexual responses in the laboratory (e.g., Janssen, Vorst, Finn, & Bancroft, 2002b;Janssen & Bancroft, 2007;Fisher, Byrne, White, & Kelley, 1988), which further supports the relevance of considering not just the role of (general and sexual) personality factors in risky sexual behavior, but also their possible psychophysiological correlates.…”

Section: Introductionmentioning

confidence: 71%

Psychophysiological Response Patterns and Risky Sexual Behavior in Heterosexual and Homosexual Men

et al. 2008

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The past few years have seen an increased awareness of the relevance of studying the role of sexual response, emotion, and traits such as sensation seeking and the propensity for sexual inhibition in risky sexual behavior. The current study examined the association between self-reported sexual risk taking and psychophysiological response patterns in 76 heterosexual and homosexual men. Measures included genital, electrodermal, startle eyeblink, and cardiovascular responses, and stimuli included threatening (depicting coercive sexual interactions) and nonthreatening (depicting consensual sexual interactions) sexual film excerpts. Sexual risk taking was hypothesized to be associated with decreased inhibition of sexual arousal and hyporeactive affective and autonomic responses to threatening sexual stimuli. Controlling for age and number of sexual partners in the past year, sexual risk taking (number of partners during the past 3 years with whom no condoms were used) was found to be associated with stronger genital responses and smaller eyeblink responses to both threatening and nonthreatening sexual stimuli. Correlations between genital and subjective sexual arousal were relatively low. Sexual risk taking was related to sensation seeking but not to the propensity for sexual inhibition. The findings suggest that risky sexual behavior may involve a role for psychophysiological mechanisms that are specific to sex as well as for ones that are associated with more general approach/avoidance response tendencies.

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Section: Introductionmentioning

confidence: 71%

Psychophysiological Response Patterns and Risky Sexual Behavior in Heterosexual and Homosexual Men

et al. 2008

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“…Incorporating social norms, courtship and relationship duration, recovery from infection, attachment, and other social influences on sexual risk will increase the predictive value of the model. Also, future studies could include morevariablesrelevanttosexualexcitationandinhibition.Forexample,forthesakeofsimplicity,thecurrentmodelonlyusedonetype of inhibition, while research in men and women has revealed that atleasttwotypesofinhibitionmayexist(e.g., Graham,Sanders,& Milhausen, 2006;Janssen, Vorst, Finn, & Bancroft, 2002a, 2002b. Future models could also incorporate mate value detection mechanisms and assortative mating functions, distributing more partners and other resourcestoagentsofhighmatevalue.As a sort of intragenerational genetic algorithm, learning is a crucial element of an ABM of human motivation (Savage, 2000) which obviously also has an important role in human sexuality.…”

Section: More Complex Modelsmentioning

confidence: 97%

Risk, Individual Differences, and Environment: An Agent-Based Modeling Approach to Sexual Risk-Taking

et al. 2011

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Risky sexual behaviors, including the decision to have unprotected sex, result from interactions between individuals and their environment. The current study explored the use of Agent-Based Modeling (ABM)-a methodological approach in which computer-generated artificial societies simulate human sexual networks-to assess the influence of heterogeneity of sexual motivation on the risk of contracting HIV. The models successfully simulated some characteristics of human sexual systems, such as the relationship between individual differences in sexual motivation (sexual excitation and inhibition) and sexual risk, but failed to reproduce the scale-free distribution of number of partners observed in the real world. ABM has the potential to inform intervention strategies that target the interaction between an individual and his or her social environment.

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“…The primary personality variable incorporated in the current investigation was the propensity for sexual inhibition and sexual excitation, assessed by the Sexual Excitation/Sexual Inhibition Scale (SES/SIS) (Carpenter et al, 2008;Janssen et al, 2002b). This 45-item questionnaire measures three factors: (1) the propensity for sexual excitation (SES), (2) the propensity for sexual inhibition due to performance failure (SIS1), and (3) the propensity for sexual inhibition due to performance consequences (SIS2).…”

Section: Personality Related Variablesmentioning

confidence: 99%

Infidelity in Heterosexual Couples: Demographic, Interpersonal, and Personality-Related Predictors of Extradyadic Sex

2011

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This study aimed to assess the relative importance of demographic, interpersonal, and personality factors in predicting sexual infidelity in heterosexual couples. A total of 506 men (M age = 32.86 years, SD = 10.60) and 412 women (M age = 27.66 years, SD = 8.93), who indicated they were in a monogamous sexual relationship, completed a series of questionnaires, including the Sexual Excitation/Inhibition (SES/SIS) scales and the Mood and Sexuality Questionnaire, and answered questions about, among others, religiosity, education, income, relationship and sexual satisfaction, and sexual compatibility. Almost one-quarter of men (23.2%) and 19.2% of women indicated that they had "cheated" during their current relationship (i.e., engaged in sexual interactions with someone other than their partner that could jeopardize, or hurt, their relationship). Among men, a logistic regression analysis, explaining 17% of the variance, revealed that a higher propensity of sexual excitation (SES) and sexual inhibition due to "the threat of performance concerns" (SIS1), a lower propensity for sexual inhibition due to "the threat of performance consequences" (SIS2), and an increased tendency to engage in regretful sexual behavior during negative affective states were all significant predictors of infidelity. In women, a similar regression analysis explained 21% of the variance in engaging in infidelity. In addition to SIS1 and SIS2, for which the same patterns were found as for men, low relationship happiness and low compatibility in terms of sexual attitudes and values were predictive of infidelity. The findings of this study suggest that, for both men and women, sexual personality characteristics and, for women, relationship factors are more relevant to the prediction of sexual infidelity than demographic variables such as marital status and religiosity.

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The sexual inhibition (SIS) and sexual excitation (SES) scales: II. Predicting psychophysiological response patterns

Cited by 133 publications

References 16 publications

Psychophysiological Response Patterns and Risky Sexual Behavior in Heterosexual and Homosexual Men

Psychophysiological Response Patterns and Risky Sexual Behavior in Heterosexual and Homosexual Men

Risk, Individual Differences, and Environment: An Agent-Based Modeling Approach to Sexual Risk-Taking

Infidelity in Heterosexual Couples: Demographic, Interpersonal, and Personality-Related Predictors of Extradyadic Sex

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