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Features of online and offline partners and partnerships are shown 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 often 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 knew the HIV status of the participant than offline partners (38.8% vs. 27.2%; P 0.001). Cheap Prostitutes near me Yates. Participants more often 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 on-line partners.

In univariate analysis, UAI was significantly more inclined 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 strongly associated 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 organization of online dating using three different reference groups, 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 guys no association was apparent between UAI and internet partnerships (OR = 1.07 95 % CI 0.71-1.62). Among HIV-unaware guys, UAI was more common in online in comparison 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 variables concerning sexual behaviour in the partnership (sex-related multiple drug use, sex frequency and partner type), the separate effect of online dating location on UAI became somewhat stronger (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 effect of online dating on UAI became more powerful (and significant) 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-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 related to a higher risk of UAI than offline dating. Yates Alberta Cheap Prostitutes. Cheap prostitutes nearby Yates Alberta. For HIV-negative men this dearth of assocation was clear (aOR = 0.94 95 % CI 0.59-1.48); among HIV positive guys there was a non-significant 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 small group in this study), UAI was more common with on-line than offline associates.

Among HIV-positive guys, in univariate analysis UAI was reported significantly more often with online associates than with offline associates. When correcting for partner features, the effect of online/offline dating on UAI among HIV-positive MSM became somewhat smaller and became nonsignificant; this implies that differences in partnership factors between online and also offline partnerships are in charge of the increased UAI in online established partnerships. This could be due to a mediating effect of more information on associates, (including perceived HIV status) on UAI, or to other variables. Among HIV negative guys no effect of online dating on UAI was detected, either in univariate or in any of the multivariate models. Among HIV-oblivious guys, online dating was associated with UAI but only important when adding associate and venture variants to the model.

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A vital strength of the study was that it investigated the connection between online dating and UAI among MSM who had recent sexual contact with both online and offline casual partners. This averted prejudice brought on by potential differences between men just dating online and those only dating offline, a weakness of numerous previous studies. Alberta Cheap Prostitutes. By recruiting participants at the largest STI outpatient clinic in the Netherlands we could contain a large 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 associated with UAI among HIV negative men, 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 reality that most earlier studies compared sexual behavior of two groups of MSM rather than comparing two sexual behavior patterns within one group of men. Cheap Prostitutes Near Me Yellowstone Alberta. Nonetheless it may also reflect 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 guys the impact of dating place on UAI did not change by adding partner characteristics, but it increased when adding lifestyle and drug use. It is difficult to assess the actual risk for HIV for these guys: do they act as HIV-negative men who are trying to shield themselves from HIV infection, or as HIV-positive men trying to shield 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 problematic if they are HIV-positive and participate in UAI with HIV-negative partners 12 Previously Matser et al. reported that 1.7% of the oblivious 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 appear to be partly based on perceived HIV concordance, precise knowledge of one's own and the partner's HIV status is essential. In HIV negative men and HIV status-unaware men, conclusions 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. Consequently serosorting cannot be regarded as a very powerful method of averting HIV transmission 22 Besides interventions to stimulate 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 chances for communicating on HIV status than dating in physical surroundings. Easing more online HIV status disclosure during partner seeking makes serosorting simpler. Yet, serosorting may increase the burden of other STI and will not prevent HIV disease entirely. Interventions to prevent HIV transmission should notably be directed at HIV-negative and unaware MSM and spark timely HIV testing (i.e., after hazard 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 fast changing dating strategies as well as sero-adaptive behaviours (like viral sorting and pre exposure prophylaxis). With each new way of dating and preventive opportunities, the rules of engagements 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 net-based partner acquisition may lead to 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 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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