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Features of online and offline partners and ventures 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 online partners was more often reported as understood (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 on-line partners more frequently understood the HIV status of the participant than offline partners (38.8% vs. 27.2%; P 0.001). Backpage escorts nearby Hectanooga. Participants more frequently reported multiple sexual contacts with internet partners (50.9% vs. 41.3%; P 0.001). Sex-related material use, alcohol use, and group sex were less often reported with on-line partners.

In univariate analysis, UAI was significantly more inclined to happen in on-line than in offline partnerships (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 result 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 different reference types, 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 men no association was apparent between UAI and internet ventures (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 ), also including variables concerning sexual behaviour in the partnership (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 men (aOR = 0.94 95 % CI 0.59-1.48). The effect of online dating on UAI became stronger (and significant) for HIV-oblivious 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 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 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 evidence that online dating was independently associated with a higher risk of UAI than offline dating. Hectanooga, Nova Scotia backpage escorts. Backpage escorts near Hectanooga, Nova Scotia. 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). Just among guys who suggested they weren't informed of their HIV status (a little group in this study), UAI was more common with on-line than offline partners.

Among HIV-positive guys, in univariate analysis UAI was reported significantly more frequently with on-line partners than with offline partners. When correcting for associate characteristics, the effect of online/offline dating on UAI among HIV positive MSM became somewhat smaller and became nonsignificant; this suggests that differences in partnership variables between online and offline partnerships are in charge of the increased UAI in online established ventures. This could be because of a mediating effect of more information on partners, (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-oblivious guys, online dating was correlated with UAI but just essential when adding partner and venture variants to the model.

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A key strength of this study was that it investigated the relationship between online dating and UAI among MSM who had recent sexual contact with both online and also offline casual partners. This avoided prejudice brought on by potential differences between men just dating online and those simply dating offline, a weakness of numerous previous studies. Nova Scotia backpage escorts. By recruiting participants at the biggest STI outpatient clinic in the Netherlands we could comprise a great number of MSM, and avoid potential differences in guys tried through Internet or face to face interviewing, weaknesses in a few 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 reality that most earlier studies compared sexual behaviour of two groups of MSM rather than comparing two sexual behavior patterns within one group of guys. Backpage Escorts Near Me Highland Hill Nova Scotia. Nevertheless it may 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 today also use the Web for dating.

For HIV-unaware men the effect of dating place on UAI didn't change by adding partner features, but it improved when adding lifestyle and drug use. It is difficult to assess the actual risk for HIV for these men: do they behave as HIV negative guys that want to shield themselves from HIV infection, or as HIV-positive guys trying to safeguard 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're HIV positive and engage 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 comprised the MSM reported in this study 15

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Because determinations on UAI seem to be partly based on sensed HIV concordance, exact knowledge of one's own and the partner's HIV status is important. In HIV-negative men and HIV status-unaware men, judgements on UAI will not 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 the HIV window period during which people can transmit HIV but cannot be diagnosed with the commonly used HIV tests. Thus serosorting cannot be regarded as an extremely powerful way of avoiding 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 communicating on HIV status than dating in physical surroundings. Easing more online HIV status disclosure during partner seeking makes serosorting simpler. Nevertheless, serosorting may raise the load of other STI and WOn't prevent HIV disease completely. Interventions to prevent HIV transmission should especially be directed at HIV negative and oblivious MSM and spark timely HIV testing (i.e., after hazard events or when experiencing symptoms of seroconversion illness) as well as regular testing when sexually active.

New research should stay up-to-date in regards to accelerated shifting dating methods as well as sero-adaptive behaviours (such as viral sorting and pre exposure prophylaxis). With every new way of dating and preventative opportunities, the rules of engagements will change. Our data are 8years old and net-based dating has developed since then. Yet these results are useful, as they demonstrate how internet-based partner acquisition can result in more info 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 immunodeficiency 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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