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Features of on-line 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 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 online partners was more often 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 on-line partners more frequently knew the HIV status of the participant than offline partners (38.8% vs. 27.2%; P 0.001). Backpage escorts nearby RivièRe-PentecôTe. Participants more frequently 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 frequently reported with online partners.

In univariate analysis, UAI was significantly more prone 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 correlated with UAI (OR = 11.70 95 % CI 7.40-18.45). The effect 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 types, 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 men no association was evident between UAI and online ventures (OR = 1.07 95 % CI 0.71-1.62). Among HIV-oblivious men, 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 variants concerning sexual behaviour in the venture (sex-associated multiple drug use, sex frequency and partner kind), the separate effect of online dating location on UAI became somewhat more powerful (though not critical) 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-unaware men (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 also 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 happened in the venture (OR = 16.29 95 % CI 7.07-37.52 for >10 sex acts within the venture compared to only one sex act). Other variables significantly associated with UAI were group sex within the partnership, and sex-related multiple drug use within partnership.

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. RivièRe-PentecôTe, Quebec backpage escorts. Backpage escorts near me RivièRe-PentecôTe, Quebec. For HIV negative guys this lack 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). Only among men who indicated they were not aware of their HIV status (a little 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 often with on-line partners 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 nonsignificant; this indicates that differences in partnership variables between online and also offline partnerships are responsible for the increased UAI in online established ventures. This could be because of a mediating effect of more info on partners, (including perceived HIV status) on UAI, or to other factors. Among HIV-negative men no effect of online dating on UAI was detected, either in univariate or in any of the multivariate models. Among HIV-unaware guys, online dating was connected with UAI but just critical when adding partner and venture variables to the model.

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A vital strength of this study was that it investigated the relation between online dating and UAI among MSM who had recent sexual contact with both online and offline casual partners. This avoided bias caused by potential differences between men only dating online and those just dating offline, a weakness of several previous studies. Quebec Backpage Escorts. By recruiting participants at the greatest STI outpatient clinic in the Netherlands we could comprise a large number of MSM, and prevent potential differences in guys tried through Internet or face to face interviewing, weaknesses in certain previous studies 3 , 11

Online dating was not associated with UAI among HIV-negative guys, a finding in agreement with some previous studies, mainly 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 guys. Backpage Escorts Near Me RivièRe-Pigou Quebec. Nevertheless 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 not as high risk MSM nowadays also make use of the Web for dating.

For HIV-oblivious men the effect of dating place on UAI did not change by adding partner characteristics, but it increased when adding lifestyle and drug use. It's difficult to evaluate the real risk for HIV for these men: do they behave as HIV-negative guys who are trying to shield themselves from HIV infection, or as HIV positive guys trying 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're HIV-positive and participate in UAI with HIV negative partners 12 Formerly Matser et al. reported that 1.7% of the unaware and sensed HIV negative MSM were analyzed HIV positive. The study population included the MSM reported in this study 15

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Because determinations on UAI seem to be partly based on sensed HIV concordance, precise knowledge of one's own and the partner's HIV status is important. In HIV-negative men and HIV status-oblivious men, judgements on UAI WOn't only be based on perceived HIV status of the partner but in addition on one's own negative status. HIV serosorting is challenged by the frequency of HIV testing and also the HIV window phase during which people can transmit HIV but cannot be diagnosed with the commonly used HIV tests. Consequently serosorting cannot be regarded as a very successful way of averting 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 perceived HIV-negative concordant status are in order, irrespective of whether this concerns online or offline dating.

Dating online may offer other chances for communication on HIV status than dating in physical environments. Easing more online HIV status disclosure during partner seeking makes serosorting easier. Nonetheless, serosorting may increase the weight of other STI and will not prevent HIV infection entirely. Interventions to prevent HIV transmission should particularly be directed at HIV-negative and oblivious MSM and spark timely HIV testing (i.e., after risk occasions or when experiencing symptoms of seroconversion illness) as well as regular testing when sexually active.

New research should stay up to date as it pertains to accelerated changing dating processes and sero-adaptive behaviours (like viral sorting and pre exposure prophylaxis). With every new way of dating and preventive opportunities, the rules of battles will be different. Our data are 8years old and net-based dating has developed since then. Yet these results are useful, as they show how internet-based partner acquisition can lead to more information on the sex partner, and this might influence 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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