Men seeking sex online practise riskier sexual behaviours than men frequenting brothels: survey findings from Singapore

Partnership status, living arrangements, and changes in sexual behaviour and satisfaction during the COVID-19 lockdown: insights from an observational, cross-sectional online survey in Singapore

Background The SARS-CoV-2 (coronavirus disease 2019; COVID-19) pandemic and its concomitant movement control measures have had a profound impact on the world. In spite of its potential impact on sexual health, there is a lack of research on how the pandemic and its movement control measures have impacted sexual wellbeing among Singaporeans. Methods This observational, cross-sectional study was conducted from August to September 2020. Participants were recruited through an online survey instrument promoted through social media. Respondents self-reported their sexual behaviours and levels of sexual satisfaction prior to and during the COVID-19 pandemic movement control measures. Results We recruited a total of 562 participants, of whom 338 (60.1%) ever had a sexual experience. Singles (n=106, 31.4%) and those not living with their partners (n=115, 34.0%) reported a greater decrease in partnered sexual activities but a greater increase in individual sexual activities such as masturbation, sending and receiving nudes and watching pornography, relative to those who were living with their partners (n=117, 34.6%). Multivariable analyses indicated that relative to singles, those who were not living with their partners were more likely to experience a decrease in sexual satisfaction (adjusted prevalence ratio [aPR]=1.42, 95% CI [1.07, 1.90]), whereas those who were living with their partners were less likely to experience a decrease in sexual satisfaction (aPR=0.45, 95% CI [0.25, 0.81]). Conclusions Interventions may focus on enhancing sexual wellness by educating on and supporting individual or partnered sexual activities that may vary along the lines of partnership status and living arrangements during the implementation of movement control measures.

Sex with partners met online: risky sexual behavior among bachelors in rural China

In the context of gender imbalance and marriage squeeze in China, this study identifies socio-demographic characteristics of bachelors who reported having sex with partners whom they met online and examines associations between having sex with such partners and other risky sexual behaviors. Data are from a cross-sectional survey conducted in 2017. 735 men who have rural household registration (hukou, in Chinese), and who were at least 28 years old and unmarried were interviewed. 16.5% of the sample had experienced sexual intercourse with a partner met online. After adjustment for socio-demographic characteristics, having sex with such partners was associated with a range of risky sexual behaviors: unsafe sexual intercourse (such as anal sex, group sex, not using a condom) (adjusted OR (aOR) = 5.11, 3.14-8.33, p < 0.001); commercial sex (aOR = 4.42, 2.78-7.02, p < 0.001); having sex in public places (aOR = 3.11, 1.97-4.91, p < 0.001); and multiple sexual partners (> = 6 partners) (aOR = 12.57, 6.55-24.12, p < 0.001). This suggests that bachelors who had sexual intercourse with partners whom they met online are at higher risk for HIV or other STD infections. Future interventions targeted at this population will improve the efficiency of China's HIV/STD prevention.

Is Online Partner-Seeking Associated with Increased Risk of Condomless Sex and Sexually Transmitted Infections Among Individuals Who Engage in Heterosexual Sex? A Systematic Narrative Review

Use of Internet websites and mobile applications to meet potential romantic and sexual partners is becoming increasingly popular. While the Internet might foster better communication and sexual negotiation between partners, it can also be a deceptive environment that instigates and accelerates sexual risk-taking. Given the complexities of the Internet, it is critical to examine the association between risky sexual behaviors (RSBs) and online partner-seeking. Five databases (i.e., Google Scholar, PubMed, PsycINFO, Web of Science, and Ovid Medline) were searched for articles published before September 10, 2017, that examined the association between online partner solicitation (either for romantic and/or sexual reasons) and RSBs. Studies were eligible for inclusion if they were empirical papers published in English-language peer-reviewed journals looking at samples of online partner seekers who practice heterosexual sex (with a comparison group) and reporting either condom use or sexually transmitted infections (STIs) status, which were the two primary outcomes. A total of 25 studies met the criteria to be included in our review. Results from this literature search do not indicate a clear association between online partner-seeking and condom use or STI status. Potential moderators (i.e., age, gender, reasons for online partner solicitation, duration of Internet correspondence, and Internet modalities) that should be included in future research were identified. Sexual health prevention efforts should address methods to negotiate safe practices between sexual partners and to encourage healthy non-virtual relationships, particularly among vulnerable populations.

Do Web-based and clinic samples of gay men living with HIV differ on self-reported physical and psychological symptoms? A comparative analysis

Background

Although the Internet is commonly used to recruit samples in studies of human immunodeficiency virus (HIV)-related risk behaviors, it has not been used to measure patient-reported well-being. As the burden of long-term chronic HIV infection rises, the Internet may offer enormous potential for recruitment to research and interventions.

Objective

This study aimed to compare two samples of gay men living with HIV, one recruited via the Web and the other recruited in outpatient settings, in terms of self-reported physical and psychological symptom burden.

Methods

The Internet sample was recruited from a UK-wide Web-based survey of gay men with diagnosed HIV. Of these, 154 respondents identified themselves as resident in London and were included in this analysis. The HIV clinic sample was recruited from five HIV outpatient clinics. Of these participants, 400 gay men recruited in London clinics were included in this analysis.

Results

The Web-based sample was younger than the clinic sample (37.3 years, SD 7.0 vs 40.9 years, SD 8.3), more likely to be in paid employment (72.8%, 99/136 vs 60.1%, 227/378), less likely to be on antiretroviral therapy (ART) (58.4%, 90/154 vs 68.0%, 266/391), and had worse mean psychological symptom burden compared to the clinic sample (mean scores: 1.61, SD 1.09 vs 1.36, SD 0.96) but similar physical symptom burden (mean scores: 0.78, SD 0.65 vs 0.70, SD 0.74). In multivariable logistic regression, for the physical symptom burden model, adjusted for age, ethnicity, employment status, and ART use, the recruitment setting (ie, Web-based vs clinic) was not significantly associated with high physical symptom score. The only variable that remained significantly associated with high physical symptom score was employment status, with those in employment being less likely to report being in the upper (worst) physical symptom tertile versus the other two tertiles (adjusted OR 0.41, 95% CI 0.28-0.62, P<.001). For the psychological symptom burden model, those recruited via the Web were significantly more likely to report being in the upper (worst) tertile (adjusted OR 2.20, 95% CI 1.41-3.44, P=.001). In addition, those in employment were less likely to report being in the upper (worst) psychological symptom tertile compared to those not in employment (adjusted OR 0.32, 95% CI 0.21-0.49, P<.001).

Conclusions

Our data have revealed a number of differences. Compared to the clinic sample, the Web-based sample had worse psychological symptom burden, younger average age, higher prevalence of employment, and a lower proportion on ART. For future research, we recommend that Web-based data collection should include the demographic variables that we note differed between samples. In addition, we recognize that each recruitment method may bring inherent sampling bias, with clinic populations differing by geographical location and reflecting those accessing regular medical care, and Web-based sampling recruiting those with greater Internet access and identifying survey materials through specific searches and contact with specific websites.