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Characteristics 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 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 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 often understood the HIV status of the participant than offline partners (38.8% vs. 27.2%; P 0.001). Backpage escorts in Iona. 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 often reported with on-line partners.

In univariate analysis, UAI was significantly more likely to occur in online than in offline partnerships (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 result 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 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 men no association was evident between UAI and on-line partnerships (OR = 1.07 95 % CI 0.71-1.62). Among HIV-oblivious guys, UAI was more common in online when compared with offline ventures, though not statistically significant (OR = 1.65 95 % CI 0.79-3.44).

In multivariate model 3 (Tables 4 and 5 ), additionally including variants 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 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 essential) for HIV-unaware 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 happened in the partnership (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 signs that online dating was independently associated with a higher danger of UAI than offline dating. Iona, Prince Edward Island backpage escorts. Backpage Escorts near me Iona, Prince Edward Island. For HIV negative men this lack 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 informed of their HIV status (a little 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 on-line associates than with offline partners. When adjusting for associate 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 variables between online and also offline partnerships are liable for the increased UAI in online established partnerships. This could be because of a mediating effect of more information on partners, (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 the multivariate models. Among HIV-oblivious men, online dating was correlated with UAI but only critical when adding partner and venture variables to the model.

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An integral strength of the study was that it explored the relation between online dating and UAI among MSM who had recent sexual contact with both online and also offline casual partners. This prevented bias brought on by potential differences between guys just dating online and those only dating offline, a weakness of numerous previous studies. Prince Edward Island backpage escorts. By recruiting participants at the largest STI outpatient clinic in the Netherlands we could contain a large number of MSM, and prevent potential differences in guys tried through Internet or face-to-face interviewing, weaknesses in a few previous studies 3 , 11

Online dating wasn't correlated 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 behavior patterns within one group of men. Backpage Escorts Near Me Iris Prince Edward Island. Yet it can also reflect secular changes; perhaps 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 additionally utilize the Net for dating.

For HIV-unaware guys the effect of dating location on UAI didn't change by adding partner characteristics, but it improved when adding lifestyle and drug use. It is difficult to assess the real risk for HIV for these guys: do they behave as HIV-negative men who want 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 engage in UAI with HIV negative partners 12 Formerly Matser et al. reported that 1.7% of the unaware and perceived HIV-negative MSM were tested HIV-positive. The study population comprised the MSM reported in this study 15

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Because decisions on UAI seem to be partially based on sensed HIV concordance, accurate knowledge of one's own and the partner's HIV status is important. In HIV-negative guys and HIV status-oblivious men, judgements 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 individuals can transmit HIV but cannot be diagnosed with the commonly used HIV tests. Therefore serosorting cannot be regarded as an extremely successful way of averting 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 environments. Facilitating more on-line HIV status disclosure during partner seeking makes serosorting easier. Nonetheless, serosorting may increase the load of other STI and WOn't prevent HIV disease entirely. Interventions to prevent HIV transmission should notably be directed at HIV-negative and unaware MSM and arouse timely HIV testing (i.e., after danger occasions or when experiencing symptoms of seroconversion illness) as well as routine testing when sexually active.

New research should stay up-to-date as it pertains to fast shifting dating processes as well as sero-adaptive behaviours (like viral sorting and pre exposure prophylaxis). With each 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 demonstrate how web-based partner acquisition can lead to more info on the sex partner, and this may 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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