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Features of online 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 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 on-line partners was more frequently reported as understood (61.4% vs. 49.4%; P 0.001), and in on-line partnerships, perceived HIV concordance was higher (49.0% vs. 39.8%; P 0.001). Participants reported that their online partners more often knew the HIV status of the participant than offline partners (38.8% vs. 27.2%; P 0.001). Backpage escorts nearest Valley View. Participants more often reported multiple sexual contacts with online partners (50.9% vs. 41.3%; P 0.001). Sex-related material use, alcohol use, and group sex were less often reported with online partners.

In univariate analysis, UAI was significantly more likely to happen 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 associated 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 organization of online dating using three distinct reference classes, one for each HIV status. Among HIV-positive men, UAI was more common in online in comparison to offline ventures (OR = 1.61 95 % CI 1.03-2.50). Among HIV negative men no association was apparent between UAI and online partnerships (OR = 1.07 95 % CI 0.71-1.62). Among HIV-oblivious guys, UAI was more common in online when compared with 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 variables concerning sexual behavior in the venture (sex-related 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 men (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 essential) for HIV-oblivious men (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 also correlated 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 happened 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 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 danger of UAI than offline dating. Valley View, British Columbia backpage escorts. Backpage Escorts in Valley View British Columbia. For HIV negative men this lack 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). Only among guys who suggested they were not informed of their HIV status (a small group in this study), UAI was more common with online than offline partners.

Among HIV-positive men, in univariate analysis UAI was reported significantly more frequently with on-line partners than with offline associates. When correcting for associate features, 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 variables between online and also offline partnerships are in charge of the increased UAI in online established ventures. This could be due to a mediating effect of more information on associates, (including perceived HIV status) on UAI, or to other factors. Among HIV negative guys no effect of online dating on UAI was discovered, either in univariate or in any of the multivariate models. Among HIV-unaware guys, online dating was connected with UAI but just important when adding associate and partnership variants to the model.

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A key strength of this study was that it explored the relation between online dating and UAI among MSM who had recent sexual contact with both online and offline casual partners. This averted prejudice caused by potential differences between guys just dating online and those only dating offline, a weakness of numerous previous studies. British Columbia Backpage Escorts. By recruiting participants at the largest STI outpatient clinic in the Netherlands we could include a great number of MSM, and avoid potential differences in guys tried through Internet or face-to-face interviewing, weaknesses in certain previous studies 3 , 11

Online dating was not connected 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 behaviour patterns within one group of men. Backpage Escorts Near Me Vallican British Columbia. Nevertheless it can also represent lay changes; perhaps 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 nowadays additionally use the Web for dating.

For HIV-oblivious men the effect of dating place on UAI did not change by adding partner characteristics, but it improved when adding lifestyle and drug use. It is hard to evaluate the real risk for HIV for these men: do they act as HIV-negative men who want to protect themselves from HIV infection, or as HIV-positive guys attempting to guard 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 engage in UAI with HIV-negative partners 12 Formerly Matser et al. reported that 1.7% of the oblivious and perceived HIV negative MSM were examined HIV positive. The study population included the MSM reported in this study 15

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Because conclusions on UAI appear to be partially based on perceived HIV concordance, accurate knowledge of one's own and the partner's HIV status is essential. In HIV-negative men and HIV status-unaware guys, judgements 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 individuals can transmit HIV but cannot be diagnosed with the commonly used HIV tests. Thus serosorting cannot be regarded as a very effective way of avoiding 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 sensed HIV-negative concordant status are in order, irrespective of whether this concerns online or offline dating.

Dating online may offer other opportunities for communication on HIV status than dating in physical environments. Easing more online HIV status disclosure during partner seeking makes serosorting easier. However, serosorting may raise the load of other STI and WOn't prevent HIV infection completely. Interventions to prevent HIV transmission should particularly be directed at HIV-negative and unaware MSM and excite timely HIV testing (i.e., after danger occasions or when experiencing symptoms of seroconversion illness) as well as regular testing when sexually active.

New research should remain up-to-date as it pertains to rapid shifting dating strategies as well as sero-adaptive behaviours (such as viral sorting and pre exposure prophylaxis). With each new way of dating and preventative chances, the rules of engagements will change. Our data are 8years old and web-based dating has developed since then. Nevertheless these results are useful, as they reveal how net-based partner acquisition can lead to more information 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 immuno-deficiency 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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