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Characteristics of on-line and offline partners and partnerships are revealed in Table 2 The median age of the partners was 34years (IQR 28-40). Compared to offline partners, more online partners were Dutch (61.3% vs. 54.0%; P 0.001) and were defined as a known partner (77.7% vs. 54.4%; P 0.001). The HIV status of on-line partners was more frequently reported as understood (61.4% vs. 49.4%; P 0.001), and in online partnerships, perceived HIV concordance was higher (49.0% vs. 39.8%; P 0.001). Participants reported that their online partners more often understood the HIV status of the participant than offline partners (38.8% vs. 27.2%; P 0.001). Cheap prostitutes nearest Heatherdale. Participants more frequently reported multiple sexual contacts with internet partners (50.9% vs. 41.3%; P 0.001). Sex-related substance use, alcohol use, and group sex were less frequently reported with internet partners.

In univariate analysis, UAI was significantly more inclined to occur in on-line than in offline ventures (OR = 1.36 95 % CI 1.03-1.81) (Table 4 ). The self-perceived HIV status of the participant was firmly correlated with UAI (OR = 11.70 95 % CI 7.40-18.45). The effect of dating place on UAI differed by HIV status, as can be seen best in Table 5 Table 5 shows the association of online dating using three distinct reference classes, one for each HIV status. Among HIV positive guys, UAI was more common in online in comparison to offline ventures (OR = 1.61 95 % CI 1.03-2.50). Among HIV-negative guys no association was evident between UAI and online partnerships (OR = 1.07 95 % CI 0.71-1.62). Among HIV-oblivious men, UAI was more common in online compared to offline ventures, though not statistically significant (OR = 1.65 95 % CI 0.79-3.44).

In multivariate model 3 (Tables 4 and 5 ), also including variants concerning sexual behavior in the venture (sex-related multiple drug use, sex frequency and partner kind), the separate effect of online dating location on UAI became somewhat more powerful (though not significant) for the HIV-positive guys (aOR = 1.62 95 % CI; 0.96-2.72), but remained similar for HIV negative guys (aOR = 0.94 95 % CI 0.59-1.48). The result of online dating on UAI became stronger (and significant) for HIV-oblivious guys (aOR = 2.55 95 % CI 1.11-5.86) (Table 5 ).

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The amount of sex partners in the preceding 6months of the index was likewise connected with UAI (OR = 6.79 95 % CI 2.86-16.13 for those with 50 or more recent sex partners compared to those with fewer than 5 recent sex partners). UAI was significantly more likely if more sex acts had occurred in the venture (OR = 16.29 95 % CI 7.07-37.52 for >10 sex acts within the venture compared to just one sex act). Other variables significantly associated with UAI were group sex within the partnership, and sex-related multiple drug use within venture.

In this large study among MSM attending the STI clinic in Amsterdam, we found no evidence that online dating was independently associated with a higher danger of UAI than offline dating. Heatherdale Prince Edward Island Cheap Prostitutes. Cheap Prostitutes nearest Heatherdale Prince Edward Island. For HIV-negative guys this dearth of assocation was clear (aOR = 0.94 95 % CI 0.59-1.48); among HIV-positive men there was a non significant association between online dating and UAI (aOR = 1.62 95 % CI 0.96-2.72). Simply among men who indicated they were not informed of their HIV status (a small group in this study), UAI was more common with online than offline associates.

Among HIV positive men, in univariate analysis UAI was reported significantly more frequently with on-line associates than with offline partners. When adjusting for partner characteristics, the effect of online/offline dating on UAI among HIV positive MSM became somewhat smaller and became non-significant; this implies that differences in partnership variables between online and offline partnerships are in charge of the increased UAI in online established ventures. This could be due to a mediating effect of more info on partners, (including perceived HIV status) on UAI, or to other factors. Among HIV negative guys no effect of online dating on UAI was observed, either in univariate or in some of the multivariate models. Among HIV-oblivious guys, online dating was associated with UAI but just important when adding associate and partnership variants to the model.

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A vital strength of this study was that it explored the connection between online dating and UAI among MSM who had recent sexual contact with both online and also offline casual partners. This prevented prejudice caused by potential differences between men just dating online and those just dating offline, a weakness of numerous previous studies. Prince Edward Island Cheap Prostitutes. By recruiting participants at the biggest STI outpatient clinic in the Netherlands we could include a high number of MSM, and avoid potential differences in men sampled through Internet or face to face interviewing, weaknesses in some previous studies 3 , 11

Online dating was not connected with UAI among HIV negative guys, a finding in agreement with some previous studies, largely among young men 21 , but in contrast with other studies 1 - 5 This may be because of the reality that most earlier studies compared sexual behavior of two groups of MSM rather than comparing two sexual behaviour patterns within one group of guys. Cheap Prostitutes Near Me Hebron Prince Edward Island. Nevertheless it may also represent lay changes; maybe in the beginning of online dating a more high risk group of men used the Internet, and over time online dating normalized and less high risk MSM nowadays also utilize the Web for dating.

For HIV-oblivious guys the effect of dating place on UAI did not change by adding partner features, but it improved when adding lifestyle and drug use. It's difficult to assess the real risk for HIV for these guys: do they act as HIV-negative men who are trying to protect themselves from HIV infection, or as HIV-positive guys attempting to safeguard their HIV-negative partner from HIV infection? A study by Horvath et al. reported that 72% of guys who were never tested for HIV, profiled themselves online as being HIV-negative, which might be debatable if they are HIV positive and participate in UAI with HIV negative partners 12 Formerly Matser et al. reported that 1.7% of the unaware and perceived HIV negative MSM were tested HIV positive. The study population included the MSM reported in this study 15

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Because determinations on UAI seem to be partially based on perceived HIV concordance, accurate knowledge of one's own and the partner's HIV status is important. In HIV negative guys and HIV status-unaware men, decisions on UAI will not only be based on perceived HIV status of the partner but also on one's own negative status. HIV serosorting is challenged by the frequency of HIV testing as well as the HIV window period during which people can transmit HIV but cannot be diagnosed with the commonly used HIV tests. Consequently serosorting cannot be regarded as an extremely powerful way of preventing HIV transmission 22 Besides interventions to stimulate the uptake of HIV and STI testing in sexually active men, interventions to warn against UAI based on sensed HIV-negative concordant status are in order, irrespective of whether this concerns online or offline dating.

Dating online may offer other chances for communicating on HIV status than dating in physical environments. Easing more online HIV status disclosure during partner seeking makes serosorting easier. Yet, serosorting may increase the weight of other STI and WOn't prevent HIV disease entirely. Interventions to prevent HIV transmission should notably be directed at HIV negative and unaware MSM and excite timely HIV testing (i.e., after danger events or when experiencing symptoms of seroconversion illness) as well as regular testing when sexually active.

New research should remain up to date when it comes to rapid changing dating methods and sero-adaptive behaviours (such as viral sorting and pre exposure prophylaxis). With each new way of dating and preventative opportunities, the rules of engagements will change. Our data are 8years old and net-based dating has developed since then. However these results are useful, as they reveal how web-based partner acquisition can result in more information on the sex partner, and this might affect on the frequency of UAI.

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AMC, Academic Medical Center; aOR, adjusted odds ratio; CI, confidence interval; CINIMA, Center for Infection and Immunology Amsterdam; DAG, directed acyclic graph; HIV, human immunodeficiency virus; i.e., id est, it's, for example; IQR, interquartile range; MEC, Medical Ethics Committee; MSM, men who have sex with men; OR, odds ratio; RIVM, National Institute of Public Health and the Environment, Centre for Infectious Disease Control; STI, sexually transmitted infection; UAI, unprotected anal intercourse; UMCU, University Medical Center Utrecht

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