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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 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). Only among men who indicated they weren't aware of their HIV status (a small group in this study), UAI was more common with online than offline partners. Free sex dating near Mount Druitt New South Wales.

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The amount of sex partners in the preceding 6months of the index was also 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 venture 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 venture.

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In multivariate model 3 (Tables 4 and 5 ), also including variables concerning sexual behaviour in the venture (sex-related multiple drug use, sex frequency and partner type), the independent effect of online dating location on UAI became somewhat more powerful (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 significant) for HIV-oblivious men (aOR = 2.55 95 % CI 1.11-5.86) (Table 5 ). Free sex dating nearby Mount Druitt.

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In univariate analysis, UAI was significantly more prone 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 strongly connected 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 classes, one for each HIV status. Among HIV positive men, UAI was more common in online when compared with offline partnerships (OR = 1.61 95 % CI 1.03-2.50). Among HIV-negative guys no association was evident between UAI and online partnerships (OR = 1.07 95 % CI 0.71-1.62). Among HIV-oblivious men, UAI was more common in online compared to offline ventures, though not statistically significant (OR = 1.65 95 % CI 0.79-3.44).

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Free sex dating nearest NSW. Features of on-line 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 frequently 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 on-line partners more frequently understood the HIV status of the participant than offline partners (38.8% vs. 27.2%; P 0.001). Participants more often 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 often reported with online partners.

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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 version 1, we adapted the organization 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 partnership characteristics (age difference, ethnic concordance, lifestyle concordance, and HIV concordance). In version 3, we adapted also for partnership sexual risk behavior (i.e., sex-associated drug use and sex frequency) and venture type (i.e., casual or anonymous). As we assumed a differential effect of dating place for HIV-positive, HIV-negative and HIV status unknown MSM, an interaction between HIV status of the participant and dating place 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 only one sexual contact occurred. Statistical significance was defined as P 0.05. No adjustments for multiple comparisons were made, in order not to lose potentially important associations. As a fairly large number of statistical evaluations were done and reported, this strategy does lead to a higher risk of one or more false positive organizations. Analyses were done utilizing the statistical programme STATA, version 13 (STATA Intercooled, College Station, TX, USA). Free sex dating near Mount Druitt.

Free sex dating near me Mount Druitt. Prior to the investigations we developed a directed acyclic graph (DAG) representing a causal model of UAI. In this model some variables 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 primary exposure of interest and results (age difference between participant and partner; ethnic concordance; concordance in life styles; HIV concordance; partnership type; sex frequency within venture; group sex with partner; sex-related substance use in venture).

We compared characteristics of participants by self-reported HIV status (using 2-evaluations for dichotomous and categorical variables and using rank sum test for continuous variables). We compared features of participants, partners, and venture sexual conduct by online or offline partnership, and computed P values predicated on logistic regression with robust standard errors, accounting for correlated data. Continuous variables (i.e., age, amount of sex partners) are reported as medians with an interquartile range (IQR), and were categorised for inclusion in multivariate models. Random effects logistic regression models were used to examine the association between dating location (online versus offline) and UAI. Odds ratio tests were used to evaluate the significance of a variable in a model.

To be able to investigate possible disclosure of HIV status we also asked the participant whether the casual sex partner knew the HIV status of the participant, together with the response alternatives: (1) no, (2) perhaps, (3) yes. New South Wales Free Sex Dating. Sexual behaviour with each partner was dichotomised as: (1) no anal intercourse or only shielded anal intercourse, and (2) unprotected anal intercourse. To determine the subculture, we asked whether the participant characterised himself or his partners as belonging to at least one of the following subcultures/lifestyles: casual, formal, substitute, drag, leather, military, sports, fashionable, punk/skinhead, rubber/lycra, gothic, bear, jeans, skater, or, if not one of these features were related, other. Concordant lifestyle was categorised as: (1) concordant; (2) discordant. Chance partner sort was categorised by the participants into (1) known traceable and (2) anonymous partners.

HIV status of the participant was got by asking the question 'Do you know whether you're HIV infected?', with five answer choices: (1) I am certainly not HIV-infected; (2) I believe that I'm not HIV-infected; (3) I do not know; (4) I think I may be HIV-contaminated; (5) I know for sure that I am HIV-contaminated. We categorised this into HIV negative (1,2), unknown (3), and HIV positive (4,5) status. Mount Druitt, NSW Free Sex Dating. The survey enquired about the HIV status of every sex partner with all the question: 'Do you understand whether this partner is HIV-infected?' with similar reply choices as previously. Perceived concordance in HIV status within ventures was categorised as; (1) concordant; (2) discordant; (3) unknown. The last group represents all partnerships where the participant didn't know his own status, or the status of his partner, or both. In this study the HIV status of the participant is self-reported and self-perceived. The HIV status of the sexual partner is as perceived by the participant.

Participants completed a standardised anonymous survey throughout their visit to the STI outpatient clinic while waiting for preliminary test results after their consultation with a nurse or physician. Free sex dating nearest Mount Druitt, New South Wales. The questionnaire elicited information on socio-demographics and HIV status of the participant, the three most recent partners in the preceding six months, and data on sexual behaviour with those partners. A detailed description of the study design and also the survey is supplied elsewhere 15 , 18 Our main determinant of interest, dating place (e.g., the name of a bar, park, club, or the name of a web site) was obtained for every partner, and categorised into online (websites), and offline (physical sites) dating places. To simplify the language of recognizing the partners per dating place, we refer to them as online or offline partners.

We used data from a cross sectional study focusing on spread of STI via sexual networks 15 Between July 2008 and August 2009 MSM were recruited from the STI outpatient clinic of the Public Health Service of Amsterdam, the Netherlands. Men were eligible for participation if they reported sexual contact with men during the six months preceding the STI consultation, they were at least 18years old, and might understand written Dutch or English. Individuals could participate more than once, if subsequent visits to the clinic were related to a possible new STI episode. Participants were routinely screened for STI/HIV according to the standard procedures of the STI outpatient clinic 15 , 17 The study was accepted by the medical ethics committee of the Academic Medical Center of Amsterdam (MEC 07/181), and written informed consent was obtained from each participant. Included in this evaluation were guys who reported sexual contact with at least one casual partner dated online as well one casual partner dated offline. Free sex dating closest to Mount Druitt Australia.

With increased familiarity in sexual partnerships, for example by concordant ethnicity, age, lifestyle, HIV status, and raising sex frequency, the chances for UAI increase as well 14 - 16 We compared the incidence of UAI in online acquired casual partnerships to that in offline obtained casual partnerships among MSM who reported both on-line and offline casual partners in the preceding six months. Free Sex Dating near me Mount Druitt, New South Wales. We hypothesised that MSM who date sex partners both online and offline, report more UAI with the casual partners they date online, and that this effect is partly explained through better understanding of partner characteristics, including HIV status.

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