Hypersexual behaviour among young adults in Germany: characteristics and personality correlates

Patterns of Sexual Risk Behaviors and Sexuality-Related Risk Factors among Young Adults in Germany: Implications for Prevention and Therapy

Sexual risk behavior (SRB) includes behavioral (sex without contraception, sexualized substance use, sex work, sexual partner violence, other sexual activities that harm oneself or others) and affective subtypes (sexuality-related feelings of shame/guilt, relationship impairments) and leads to psychosocial and health-related consequences. Young adults comprise a vulnerable group regarding the development of SRB. The study aimed to identify SRB patterns among young adults and their relation to sexuality-related risk factors. A cross-sectional online survey measured behavioral and affective aspects of SRB with nine items. Latent class analysis was conducted to identify patterns of SRB. Gender, sexual orientation, age of first intercourse, number of sexual partners, hypersexuality, and sexual dysfunction were captured as risk factors via multinomial logistic regression. Within this convenience sample (n = 609; nfemale = 365; nmale = 245; Mage = 23.1 years), the SRB patterns unremarkable (67%; low values in all SRB subtypes), shame-ridden (17%; high values in sexual feelings of shame/guilt) and risky sexual behavior (16%; high values in all subtypes of SRB, especially sexualized drug use) were identified. The shame-ridden and risky patterns were strongly associated with higher hypersexuality values, the risky pattern moreover with being non-heterosexual, of younger age at first sexual experience, and a higher number of sexual partners. Male and sexual minority participants demonstrated SRB more often than females and heterosexuals. Within prevention and treatment of SRB, it seems beneficial to address sexuality-related feelings of shame/guilt and addictive patterns (concerning sexual behaviors/substances) via gender- and diversity-sensitive measurements.

Compulsive sexual behavior disorder in an inpatient sample with substance use disorder

Background

Several studies indicate that compulsive sexual behavior disorder (CSBD) shares core elements with substance use disorder (SUD). These findings support the assumption of common mechanisms in addiction, which may lead to a higher tendency in patients with SUD to have comorbid CSBD. Nevertheless, this relationship between CSBD and SUD is poorly understood to date.

Aim

This study aimed to compare the prevalence of CSBD and its subtype pornography use disorder (PUD) between a SUD group and a matched control group. Herein, we aimed to test whether patients with SUD are more likely to have a comorbid CSBD/PUD. We further hypothesized that a higher CSBD/PUD prevalence in patients with SUD is accompanied by more pronounced CSBD- and PUD-related personal characteristics.

Methods

We assessed CSBD, PUD, and related personal characteristics in an inpatient SUD sample (N = 92) and a healthy control sample matched by age, gender, and educational level.

Outcomes

Primary outcomes were the diagnoses of CSBD/PUD as assessed by questionnaires. CSBD/PUD-related personal characteristics were the early onset of problematic pornography consumption, relationship status as a single person, a high sexual motivation, a high level of time spent watching pornography, and a high degree of problematic pornography consumption (Problematic Pornography Consumption Scale, short version).

Results

There was no significant difference between groups regarding CSBD prevalence (SUD sample, 3.3%; control sample, 7.6%) and PUD prevalence (SUD sample, 2.2%; control sample, 6.5%). We found relationship status as a single person and the sexual motivation dimension of importance of sex to be the only CSBD-related personal characteristics that were more pronounced in the SUD sample than the matched control group.

Clinical Implications

Results indicate no higher tendency for patients with SUD to develop comorbid CSBD/PUD, yet important vulnerabilities (eg, emotional dysregulation) should be considered when treating addictive disorder to prevent possible symptom displacement.

Strengths and Limitations

A strength of the study is that we compared a sample of patients with SUD with a matched control sample and used an instrument based on ICD-11 criteria for CSBD. Possible limitations are significant differences between the groups because of the restrictions in an inpatient clinic that may have influenced responses (eg, roommates) and that the control group was not screened for SUD. Therefore, the results should be interpreted with some caution.

Conclusion

We found no evidence of an overcomorbidity of SUD and CSBD/PUD. However, a higher rate of vulnerability factors for CSBD/PUD in the SUD sample might suggest some similarities between SUD and CSBD/PUD.