Free casual dating in seattle wa 98127

This article has been cited by wq articles Free PMC. We studied the HIV risk behaviors seatyle patrons daring the 3 commercial sex venues for men in Seattle, Washington. We conducted cross-sectional, observational surveys in and by use of time—venue cluster sampling with probability proportional to size. Surveys were anonymous and self-reported. We analyzed the data to identify patron characteristics and predictors of risk caxual and compared the 2 survey populations. By logistic regression, recent unprotected anal intercourse outside of a commercial sex venue was Free casual dating in seattle wa 98127 associated with unprotected anal intercourse.

Sex venue site and patron drug use were strongly associated with unprotected anal intercourse at the crude level. The and survey populations did not differ significantly in demographics or behaviors. Casyal and venue-specific characteristics factors may each vating the frequency of HIV risk behaviors in seattl sex venues. Future research should caeual the effect of structural and individual-level interventions on HIV transmission. Gay daating and sex clubs—2 key types of commercial sex venues catering exclusively to men—have operated in the United Seathle since at least the first decade of the 20th century. Much of the published research involving visitors to seartle sex venues was based on convenience samples.

Bathhouses typically offer private rooms for rent and shower facilities and expect aeattle patrons undress and wear only a towel during visits. Ws takes place in private rooms as well as in open areas. Sex occurs in open areas, often facilitated by datting features such as labyrinth-like hallways, small closets, and glory holes cassual in the walls between closets or kn, primarily used for quasi-anonymous oral sex. Free casual dating in seattle wa 98127 main intent was to describe the populations who visited these venues on causal given week during these periods, report the frequency of HIV risk behaviors among these populations, and identify the correlates of high-risk behaviors.

The observed similarity czsual these populations would assuage concerns about selection bias in the in-depth survey. Setting At the time of the survey, Seattle was home to 1 sex club and 2 bathhouses bathhouses A and B. Bythe former sex club had added private rooms and shower facilities, but was still primarily used for its sex club—type amenities, operating as a hybrid commercial sex venue. All of the commercial sex venues operated 7 days per week, during daytime hours and throughout each night. Study Population We used a time-venue probability-proportional-to-size cluster sampling design 22 in each survey to schedule sampling events across club hours of operations.

The sampling events were conducted during randomly selected, 4-hour venue, day—time units VDTUswith the probability of random selection proportional to the size of the patron population in the specific VDTU. For the survey, we first based probabilities for selecting each VDTU on estimates of patron volume at times throughout the week observed during a previous study of these 3 venues. The survey used tallies of patrons observed exiting the venues, maintained by the survey staff, to establish a probability for each VDTU. Recruitment and survey completion occurred within the commercial sex venue sites. Patrons were approached for survey recruitment at the end of their visit, just before exiting the facility.

Patrons who had completed a survey within the respective survey year were deemed ineligible. Data Collection Both surveys were anonymous and self-administered. The survey used audio computer-assisted self-interview technology, 23 and the survey was completed by using pen and paper and a ballot box. We performed the study primarily to assess the representativeness of the sample. Responses were collected by using a brief written questionnaire that included 9 key questions taken verbatim from the survey. We hoped an increased participation rate for this survey would provide some evidence that the sample population responding to the survey was representative of the overall commercial sex venue population.

Analysis We first compared responses to the survey questions with responses to the analogous questions collected as part of the survey. In the main analyses, we further examined the survey data to describe the characteristics and behaviors of the commercial sex venue population and to identify factors associated with high-risk behavior during the present commercial sex venue visit. We conducted analyses by using SPSS version These models were adjusted for clustering within recruitment blocks by using the Huber—White standard error estimation adjustment within STATA.

Because of the nonnormal distributions of the continuous variables examined, a rank transformation of each variable was used as the dependent variable in each linear regression model. In this process, the actual, observed values for the dependent variable were replaced with values reflecting the rank order of the observed value among all participants included in the model. We defined any reported unprotected i. Separate questions were asked about unprotected receptive and insertive anal intercourse on each survey. We compared patrons reporting any receptive or insertive UAI with any partner during the current commercial sex venue visit with patrons who reported either no sex or some combination of oral sex or protected anal sex during the visit.

A statistically significant association was defined as evidenced by a P value not exceeding. All variables identified in bivariate analyses as statistically associated with the outcome variable or displaying an observable, but not necessarily statistically significant, ordinal trend association with the outcome variable were included in the multivariate logistic regression model. Comparison of the Survey Populations As shown in Table 1demographic traits and sexual behaviors reported by the and respondents were similar. None of the categorical distributions shown in the table were significantly different between the survey populations.

Responses to variables indicating numbers of sex or UAI partners were also examined without categorization, as continuous variables, by using simple linear regression. Again, no statistically significant differences were found between the 2 surveys. Seattle, WA, and Survey, No.




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