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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 associated with 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 non-significant 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 associates. Free Sex Dating in Ascot Vale, Victoria.

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The number of sex partners in the preceding 6months of the index was also 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 occurred 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 venture, and sex-connected multiple drug use within partnership.

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In multivariate model 3 (Tables 4 and 5 ), additionally including variables concerning sexual behaviour in the partnership (sex-related multiple drug use, sex frequency and partner type), the independent effect of online dating place on UAI became somewhat stronger (though not significant) for the HIV-positive men (aOR = 1.62 95 % CI; 0.96-2.72), but remained similar for HIV-negative guys (aOR = 0.94 95 % CI 0.59-1.48). The effect of online dating on UAI became stronger (and important) for HIV-oblivious guys (aOR = 2.55 95 % CI 1.11-5.86) (Table 5 ). Free Sex Dating nearby Ascot Vale.

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In univariate analysis, UAI was significantly more inclined to occur in on-line than in offline ventures (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 impact 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 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). Among HIV negative men no association was evident between UAI and online ventures (OR = 1.07 95 % CI 0.71-1.62). Among HIV-unaware men, UAI was more common in online when compared with offline ventures, though not statistically significant (OR = 1.65 95 % CI 0.79-3.44).

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Free Sex Dating near VIC. 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). The HIV status of online partners was more often reported as known (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 frequently knew 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-associated material use, alcohol use, and group sex were less often reported with online partners.

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In order to examine the possible mediating effect of more info on partners (including perceived HIV status) on UAI, we developed three multivariable models. In model 1, we adjusted the association between online/offline dating place and UAI for characteristics 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 features (age difference, ethnic concordance, lifestyle concordance, and HIV concordance). In version 3, we adjusted additionally for partnership sexual risk behaviour (i.e., sex-related 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 place was included in all three models by making a new 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 men. We performed a sensitivity analysis confined 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 important organizations. As a rather big number of statistical evaluations were done and reported, this strategy does lead to an elevated danger of one or more false positive organizations. Evaluations were done using the statistical programme STATA, version 13 (STATA Intercooled, College Station, TX, USA). Free Sex Dating near Ascot Vale.

Free Sex Dating nearby Ascot Vale. Before the analyses we developed a directed acyclic graph (DAG) representing a causal model of UAI. 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 supposed 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; venture kind; sex frequency within partnership; group sex with partner; sex-associated material use in partnership).

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 partnership sexual behavior by on-line or offline partnership, and computed P values based 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 analyze the association between dating place (online versus offline) and UAI. Likelihood ratio tests were used to measure the importance of a variable in a model.

As a way to explore potential disclosure of HIV status we additionally asked the participant whether the casual sex partner knew the HIV status of the participant, together with the answer alternatives: (1) no, (2) potentially, (3) yes. Victoria Free Sex Dating. Sexual conduct with each partner was dichotomised as: (1) no anal intercourse or merely protected anal intercourse, and (2) unprotected anal intercourse. To ascertain the subculture, we asked whether the participant characterised himself or his partners as belonging to one or more of the subsequent subcultures/lifestyles: casual, formal, alternate, drag, leather, military, sports, fashionable, punk/skinhead, rubber/lycra, gothic, bear, jeans, skater, or, if not one of these characteristics were appropriate, other. Concordant lifestyle was categorised as: (1) concordant; (2) discordant. Chance partner type 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 are HIV infected?', with five answer choices: (1) I 'm definitely not HIV-infected; (2) I believe that I'm not HIV-infected; (3) I don't know; (4) I believe I may be HIV-infected; (5) I know for sure that I am HIV-infected. We categorised this into HIV negative (1,2), unknown (3), and HIV-positive (4,5) status. Ascot Vale VIC Free Sex Dating. The questionnaire enquired about the HIV status of every sex partner together with the question: 'Do you understand whether this partner is HIV-infected?' with similar reply alternatives 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 did not understand 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 questionnaire throughout their visit to the STI outpatient clinic while waiting for preliminary evaluation results after their consultation using a nurse or doctor. Free sex dating near me Ascot Vale Victoria. 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 behavior with those partners. A thorough description of the study design as well as the survey is provided elsewhere 15 , 18 Our primary determinant of interest, dating location (e.g., the name of a pub, park, club, or the name of a website) was obtained for every partner, and categorised into online (websites), and offline (physical sites) dating places. To simplify the language of differentiating 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 may understand written Dutch or English. People could participate more than once, if following visits to the practice were related to a potential 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 approved by the medical ethics committee of the Academic Medical Center of Amsterdam (MEC 07/181), and written informed consent was obtained from each participant. Contained in this evaluation were men who reported sexual contact with at least one casual partner dated online as well one casual partner dated offline. Free Sex Dating in Ascot Vale Australia.

With increased acquaintance in sexual partnerships, for example by concordant ethnicity, age, lifestyle, HIV status, and increasing sex frequency, the likelihood for UAI increase as well 14 - 16 We compared the incidence of UAI in online got casual partnerships to that in offline obtained casual partnerships among MSM who reported both online and offline casual partners in the preceding six months. Free Sex Dating nearby Ascot Vale, Victoria. 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 knowledge of partner features, including HIV status.

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