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A key strength of this study was that it explored the connection between online dating and UAI among MSM who had recent sexual contact with both online and also offline casual partners. This avoided prejudice caused by potential differences between men only dating online and those only dating offline, a weakness of numerous previous studies. Free Sex Dating Near Me Nova Scotia. Free sex dating closest to Nunavut. By recruiting participants at the biggest STI outpatient clinic in the Netherlands we could contain a lot of MSM, and prevent potential differences in men sampled through Internet or face-to-face interviewing, weaknesses in certain previous studies 3 , 11

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Among HIV-positive men, in univariate analysis UAI was reported significantly more frequently with online associates than with offline associates. 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 implies that differences in partnership variables between online and offline partnerships are in charge of the increased UAI in online established ventures. This may 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 detected, either in univariate or in some of the multivariate models. Among HIV-unaware men, online dating was correlated with UAI but only significant when adding partner and venture variables to the model.

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In this large study among MSM attending the STI clinic in Amsterdam, we found no signs that online dating was independently related to a higher risk of UAI than offline dating. For HIV-negative guys this lack of assocation was clear (aOR = 0.94 95 % CI 0.59-1.48); among HIV positive men there was a nonsignificant association between online dating and UAI (aOR = 1.62 95 % CI 0.96-2.72). Only among guys who indicated they were not informed of their HIV status (a small group in this study), UAI was more common with online than offline partners.

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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 happened in the partnership (OR = 16.29 95 % CI 7.07-37.52 for >10 sex acts within the partnership 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.

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In multivariate model 3 (Tables 4 and 5 ), additionally including variants concerning sexual behaviour in the venture (sex-related multiple drug use, sex frequency and partner kind), the separate 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 result of online dating on UAI became more powerful (and essential) for HIV-oblivious guys (aOR = 2.55 95 % CI 1.11-5.86) (Table 5 ).

In univariate analysis, UAI was significantly more likely to occur 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 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 types, one for each HIV status. Among HIV-positive guys, UAI was more common in online in comparison to offline ventures (OR = 1.61 95 % CI 1.03-2.50). Nunavut free sex dating. Among HIV-negative guys no association was evident between UAI and internet ventures (OR = 1.07 95 % CI 0.71-1.62). Among HIV-oblivious guys, UAI was more common in online in comparison to offline partnerships, though not statistically significant (OR = 1.65 95 % CI 0.79-3.44).

Characteristics of on-line and offline partners and partnerships 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). Free Sex Dating Near Me Ontario. The HIV status of online partners was more frequently 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). Participants more frequently 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 internet partners.

In order to examine the potential mediating effect of more info on partners (including perceived HIV status) on UAI, we developed three variant models. In model 1, we adjusted the association between online/offline dating place and UAI for features of the participant: age, ethnicity, number of sex partners in the preceding 6months, and self-perceived HIV status. In model 2 we added the venture characteristics (age difference, ethnic concordance, lifestyle concordance, and HIV concordance). In version 3, we adjusted additionally for venture sexual risk behaviour (i.e., sex-associated drug use and sex frequency) and venture sort (i.e., casual or anonymous). As we assumed a differential effect of dating location for HIV positive, HIV negative and HIV status unknown MSM, an interaction between HIV status of the participant and dating location was contained in all three models by making a fresh six-category variable. For clarity, the effects of online/offline dating on UAI are also presented individually for HIV-negative, HIV-positive, and HIV-oblivious guys. We performed a sensitivity analysis limited to partnerships in which just one sexual contact occurred. Statistical significance was defined as P 0.05. No adjustments for multiple comparisons were made, in order not to miss potentially significant organizations. As a fairly large number of statistical tests were done and reported, this strategy does lead to a heightened risk of one or more false-positive associations. Analyses were done using the statistical programme STATA, version 13 (STATA Intercooled, College Station, TX, USA).

Prior to the investigations we developed a directed acyclic graph (DAG) representing a causal model of UAI. Free sex dating in Nunavut. In this model some variants were putative causes (self-reported HIV status; online partner acquisition), others were considered as confounders (participants' age, participants' ethnicity, and no. of male sex partners in preceding 6months), and some were presumed to be on the causal pathway between the main exposure of interest and results (age difference between participant and partner; ethnic concordance; concordance in life styles; HIV concordance; partnership sort; sex frequency within partnership; group sex with partner; sex-related material use in partnership).

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