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Characteristics of online and offline partners and ventures are revealed in Table 2 The median age of the partners was 34years (IQR 28-40). Compared to offline partners, more on-line 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 online partners was more often reported as known (61.4% vs. 49.4%; P 0.001), and in on-line ventures, 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 nearby Riley Creek. Participants more often reported multiple sexual contacts with internet partners (50.9% vs. 41.3%; P 0.001). Sex-associated material use, alcohol use, and group sex were less often reported with on-line partners.

In univariate analysis, UAI was significantly more inclined to occur in online 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 impact of dating location on UAI differed by HIV status, as can be seen best in Table 5 Table 5 shows the association of online dating using three different reference classes, one for each HIV status. Among HIV-positive men, UAI was more common in online when compared with offline partnerships (OR = 1.61 95 % CI 1.03-2.50). Among HIV-negative guys no association was apparent between UAI and on-line partnerships (OR = 1.07 95 % CI 0.71-1.62). Among HIV-unaware guys, UAI was more common in online compared to offline partnerships, 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-associated multiple drug use, sex frequency and partner type), 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 men (aOR = 0.94 95 % CI 0.59-1.48). The effect of online dating on UAI became more powerful (and important) for HIV-oblivious guys (aOR = 2.55 95 % CI 1.11-5.86) (Table 5 ).

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The number 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 partnership compared to only one sex act). Other factors significantly associated with UAI were group sex within the venture, and sex-connected 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 risk of UAI than offline dating. Riley Creek, British Columbia Cheap Prostitutes. Cheap Prostitutes in Riley Creek British Columbia. 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 nonsignificant association between online dating and UAI (aOR = 1.62 95 % CI 0.96-2.72). Simply among guys who suggested they weren't informed of their HIV status (a small group in this study), UAI was more common with online than offline associates.

Among HIV-positive guys, in univariate analysis UAI was reported significantly more frequently with online associates than with offline associates. 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 indicates that differences in partnership factors between online and offline partnerships are in charge of the increased UAI in online established partnerships. This may be due to a mediating effect of more info on associates, (including perceived HIV status) on UAI, or to other variables. Among HIV-negative men no effect of online dating on UAI was found, either in univariate or in the multivariate models. Among HIV-oblivious men, online dating was correlated with UAI but only important when adding associate and venture variants to the model.

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An integral strength of this study was that it investigated the relationship between online dating and UAI among MSM who had recent sexual contact with both online and offline casual partners. This prevented prejudice brought on by potential differences between men only dating online and those only dating offline, a weakness of several previous studies. British Columbia cheap prostitutes. By recruiting participants at the largest STI outpatient clinic in the Netherlands we could include a great number of MSM, and prevent potential differences in men tried through Internet or face-to-face interviewing, weaknesses in a few previous studies 3 , 11

Online dating was not correlated with UAI among HIV negative men, a finding in agreement with some previous studies, mostly among young men 21 , but in comparison with other studies 1 - 5 This may be due to the fact that most earlier studies compared sexual behavior of two groups of MSM rather than comparing two sexual behavior patterns within one group of guys. Cheap Prostitutes Near Me Riondel British Columbia. However it might also represent secular changes; maybe in the beginning of online dating a more high risk group of guys used the Internet, and over time online dating normalized and less high-risk MSM today also use the Net for dating.

For HIV-unaware men the effect of dating place on UAI didn't change by adding partner features, but it increased when adding lifestyle and drug use. It's difficult to evaluate the real risk for HIV for these guys: do they act as HIV-negative men that are attempting to protect themselves from HIV infection, or as HIV positive men attempting to protect their HIV negative partner from HIV infection? A study by Horvath et al. reported that 72% of men who were never tested for HIV, profiled themselves online as being HIV-negative, which might be problematic if they are HIV positive and engage in UAI with HIV-negative partners 12 Previously Matser et al. reported that 1.7% of the unaware and sensed HIV-negative MSM were analyzed HIV positive. The study population comprised the MSM reported in this study 15

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Because conclusions on UAI appear to be partially based on sensed HIV concordance, precise knowledge of one's own and the partner's HIV status is essential. In HIV-negative men and HIV status-oblivious 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 and also the HIV window period during which people can transmit HIV but cannot be diagnosed with the commonly used HIV tests. Therefore serosorting can't be regarded as a very effective way of preventing HIV transmission 22 Besides interventions to trigger the uptake of HIV and STI testing in sexually active men, interventions to caution against UAI based on perceived HIV negative concordant status are in order, irrespective of whether this concerns online or offline dating.

Dating online may offer other opportunities for communicating on HIV status than dating in physical surroundings. Facilitating more online HIV status disclosure during partner seeking makes serosorting easier. However, serosorting may increase the weight of other STI and will not prevent HIV disease completely. Interventions to prevent HIV transmission should especially be directed at HIV negative and oblivious MSM and spark timely HIV testing (i.e., after hazard occasions or when experiencing symptoms of seroconversion illness) as well as routine testing when sexually active.

New research should remain up to date in regards to fast changing dating processes as well as sero-adaptive behaviours (like viral sorting and pre exposure prophylaxis). With every new way of dating and preventative opportunities, the rules of battles will be different. Our data are 8years old and web-based dating has developed since then. Yet these results are useful, as they show how web-based partner acquisition can result in more info on the sex partner, and this may impact 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 is, 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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