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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 on-line partners was more often reported as known (61.4% vs. 49.4%; P 0.001), and in online 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). Backpage escorts near me Bungay. Participants more often reported multiple sexual contacts with online 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 prone to happen 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 strongly connected 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 groups, one for each HIV status. Among HIV-positive men, UAI was more common in online compared to offline ventures (OR = 1.61 95 % CI 1.03-2.50). Among HIV-negative guys no association was apparent between UAI and online 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 variables concerning sexual behaviour in the venture (sex-associated multiple drug use, sex frequency and partner kind), the independent effect of online dating location on UAI became somewhat more powerful (though not essential) 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 essential) for HIV-unaware 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 likewise associated 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 partnership (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 partnership, and sex-connected 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 related to a higher danger of UAI than offline dating. Bungay Prince Edward Island backpage escorts. Backpage Escorts nearby Bungay, Prince Edward Island. 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 guys who suggested they weren't informed of their HIV status (a small group in this study), UAI was more common with on-line than offline associates.

Among HIV positive men, in univariate analysis UAI was reported significantly more frequently with online associates 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 nonsignificant; this suggests that differences in partnership factors between online and offline partnerships are responsible for the increased UAI in online established partnerships. 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 detected, either in univariate or in some of the multivariate models. Among HIV-unaware men, online dating was associated with UAI but just critical when adding associate and partnership variants to the model.

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An integral 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 bias brought on by potential differences between guys only dating online and those simply dating offline, a weakness of several previous studies. Prince Edward Island Backpage Escorts. By recruiting participants at the biggest STI outpatient clinic in the Netherlands we could comprise a high number of MSM, and avoid potential differences in men tried through Internet or face to face interviewing, weaknesses in some previous studies 3 , 11

Online dating wasn't connected with UAI among HIV-negative men, a finding in agreement with some previous studies, largely 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. Backpage Escorts Near Me Burlington Prince Edward Island. Nonetheless it may also reflect 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 not as high risk MSM now also use the Web for dating.

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

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Because decisions on UAI seem to be partly based on perceived HIV concordance, precise knowledge of one's own and the partner's HIV status is very important. In HIV negative guys and HIV status-oblivious guys, determinations on UAI WOn't 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 the HIV window period during which people can transmit HIV but cannot be diagnosed with the commonly used HIV tests. So serosorting cannot be regarded as an extremely successful method 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 opportunities for communication on HIV status than dating in physical surroundings. Facilitating more online HIV status disclosure during partner seeking makes serosorting simpler. Nevertheless, serosorting may increase the burden of other STI and WOn't prevent HIV disease completely. Interventions to prevent HIV transmission should particularly be directed at HIV-negative and unaware MSM and excite 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 remain up-to-date as it pertains to rapid shifting dating methods as well as sero-adaptive behaviours (such as viral sorting and pre exposure prophylaxis). With each new way of dating and preventive opportunities, the rules of engagements will change. Our data are 8years old and net-based dating has developed since then. Nevertheless these results are useful, as they demonstrate 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'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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