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Characteristics of on-line 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 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 frequently 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 knew the HIV status of the participant than offline partners (38.8% vs. 27.2%; P 0.001). Backpage escorts nearby Indian Landing. Participants more frequently reported multiple sexual contacts with online partners (50.9% vs. 41.3%; P 0.001). Sex-associated material use, alcohol use, and group sex were less often reported with internet partners.

In univariate analysis, UAI was significantly more inclined 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 firmly correlated 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 different reference classes, one for each HIV status. Among HIV-positive guys, UAI was more common in online compared to offline partnerships (OR = 1.61 95 % CI 1.03-2.50). Among HIV negative men no association was apparent between UAI and on-line ventures (OR = 1.07 95 % CI 0.71-1.62). Among HIV-oblivious men, 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 ), additionally including variants concerning sexual behavior in the partnership (sex-associated multiple drug use, sex frequency and partner kind), the independent effect of online dating location on UAI became somewhat stronger (though not essential) 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 more powerful (and critical) for HIV-oblivious guys (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 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 venture (OR = 16.29 95 % CI 7.07-37.52 for >10 sex acts within the venture compared to only one sex act). Other factors significantly associated with UAI were group sex within the partnership, and sex-related 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 associated with a higher danger of UAI than offline dating. Indian Landing, Ontario Backpage Escorts. Backpage escorts near me Indian Landing, Ontario. 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 guys who indicated they were not conscious of their HIV status (a small 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 online partners than with offline associates. When adjusting for associate characteristics, the effect of online/offline dating on UAI among HIV-positive MSM became somewhat smaller and became non-significant; this indicates that differences in partnership variables between online and also offline partnerships are liable for the increased UAI in online established ventures. This might be because of 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-oblivious men, 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 the study was that it explored the relation between online dating and UAI among MSM who had recent sexual contact with both online and offline casual partners. This prevented bias caused by potential differences between men just dating online and those only dating offline, a weakness of numerous previous studies. Ontario Backpage Escorts. By recruiting participants at the biggest STI outpatient clinic in the Netherlands we could comprise a large number of MSM, and avoid potential differences in guys tried through Internet or face to face interviewing, weaknesses in certain previous studies 3 , 11

Online dating was not connected with UAI among HIV-negative guys, a finding in agreement with some previous studies, mainly among young men 21 , but in contrast 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 behaviour patterns within one group of men. Backpage Escorts Near Me Ingersoll Ontario. Nonetheless it could 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 utilize the Web for dating.

For HIV-oblivious men the impact of dating place on UAI did not change by adding partner features, but it improved when adding lifestyle and drug use. It's hard to evaluate the real risk for HIV for these guys: do they behave as HIV-negative guys that are trying to shield themselves from HIV infection, or as HIV positive men attempting 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 debatable if they're HIV-positive and engage in UAI with HIV negative partners 12 Previously Matser et al. reported that 1.7% of the unaware and sensed HIV negative MSM were examined HIV-positive. The study population comprised the MSM reported in this study 15

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Because decisions on UAI appear to be partly based on sensed HIV concordance, precise knowledge of one's own and the partner's HIV status is essential. In HIV negative men and HIV status-oblivious men, decisions 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 also the HIV window phase during which individuals can transmit HIV but cannot be diagnosed with the commonly used HIV tests. Thus serosorting can't be regarded as an extremely effective method 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 chances for communicating on HIV status than dating in physical environments. Facilitating more on-line HIV status disclosure during partner seeking makes serosorting easier. Nevertheless, serosorting may increase the burden of other STI and WOn't prevent HIV infection entirely. Interventions to prevent HIV transmission should notably be directed at HIV-negative and unaware MSM and spark timely HIV testing (i.e., after risk events or when experiencing symptoms of seroconversion illness) as well as regular testing when sexually active.

New research should stay up-to-date as it pertains to fast shifting dating methods as well as sero-adaptive behaviours (like viral sorting and pre exposure prophylaxis). With every new way of dating and preventive chances, the rules of engagements will be different. Our data are 8years old and internet-based dating has developed since then. Nevertheless these results are useful, as they reveal how net-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 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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