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Features of online 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 online partnerships, perceived HIV concordance was higher (49.0% vs. 39.8%; P 0.001). Participants reported that their online partners more frequently knew the HIV status of the participant than offline partners (38.8% vs. 27.2%; P 0.001). Cheap prostitutes nearest Claire-Fontaine. Participants more frequently reported multiple sexual contacts with online partners (50.9% vs. 41.3%; P 0.001). Sex-associated substance use, alcohol use, and group sex were less frequently reported with internet 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 distinct reference groups, one for each HIV status. Among HIV-positive men, UAI was more common in online compared to offline partnerships (OR = 1.61 95 % CI 1.03-2.50). Among HIV negative guys no association was apparent 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 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 behavior in the partnership (sex-related multiple drug use, sex frequency and partner kind), the independent effect of online dating place on UAI became somewhat more powerful (though not critical) for the HIV-positive guys (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 critical) 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 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 venture, 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. Claire-Fontaine New Brunswick cheap prostitutes. Cheap Prostitutes in Claire-Fontaine New Brunswick. For HIV negative guys this dearth of assocation was clear (aOR = 0.94 95 % CI 0.59-1.48); among HIV positive men there was a non-significant association between online dating and UAI (aOR = 1.62 95 % CI 0.96-2.72). Simply 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 partners.

Among HIV positive guys, in univariate analysis UAI was reported significantly more often with online 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 non-significant; this suggests that differences in partnership factors between online and offline partnerships are liable for the increased UAI in online established ventures. This might be due to a mediating effect of more information on associates, (including perceived HIV status) on UAI, or to other factors. Among HIV negative men no effect of online dating on UAI was found, either in univariate or in any of the multivariate models. Among HIV-unaware men, online dating was connected with UAI but only critical when adding associate and partnership variants to the model.

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An integral 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 also offline casual partners. This averted bias brought on by potential differences between men just dating online and those simply dating offline, a weakness of numerous previous studies. New Brunswick cheap prostitutes. By recruiting participants at the largest STI outpatient clinic in the Netherlands we could comprise a lot of MSM, and prevent potential differences in men sampled through Internet or face to face interviewing, weaknesses in a few previous studies 3 , 11

Online dating wasn't associated with UAI among HIV negative guys, a finding in agreement with some previous studies, mostly 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. Cheap Prostitutes Near Me Cochrane Corner New Brunswick. However it might also represent lay 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 now additionally utilize the Internet for dating.

For HIV-unaware men the effect of dating place on UAI didn't change by adding partner characteristics, but it improved when adding lifestyle and drug use. It is hard to evaluate the actual risk for HIV for these guys: do they act as HIV-negative men who are attempting 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 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 oblivious and perceived HIV negative MSM were examined HIV-positive. The study population included the MSM reported in this study 15

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Because conclusions 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 guys, determinations 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 as well as the HIV window period during which people can transmit HIV but cannot be diagnosed with the commonly used HIV tests. Therefore serosorting can't 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 sensed 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 surroundings. Easing more online HIV status disclosure during partner seeking makes serosorting easier. Nevertheless, serosorting may raise the load of other STI and WOn't prevent HIV disease entirely. Interventions to prevent HIV transmission should especially be directed at HIV negative and oblivious MSM and excite timely HIV testing (i.e., after hazard occasions or when experiencing symptoms of seroconversion illness) as well as routine testing when sexually active.

New research should remain up-to-date when it comes to accelerated shifting dating processes and sero-adaptive behaviours (such as viral sorting and pre exposure prophylaxis). With every new way of dating and preventive opportunities, the rules of engagements will vary. Our data are 8years old and internet-based dating has developed since then. However these results are useful, as they reveal how web-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'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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