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Interview as intervention: The case of young adult multidrug users in the club scene

The GMDS ally is further designed to classifications indicating panoramic significance: Pupils for further research and ending applications to risk-reduction portions are equipped.

Survey Data Collection Following consent, all respondents completed a standardized baseline demographic, behavioral, health history and social risk assessment that took about two hours to complete. Private offices were used for all interviews. Data were collected using laptop computer-assisted personal interviews.

Follow-up interviews at 6, 12, and 18 months from study entry included the same items as the baseline instrument exclusive of life history items and lasted about one hour. Missing a follow-up assessment did not result in disenrollment or prohibit continued participation in later follow-ups. Two hundred-seventy-four frew The interviews assessed demographics, frequencies of past 90 day use of alcohol and drugs, Diagnostic and Statistical Manual of Mental Disorders IV DSM-IV substance dependence symptoms, counts of semp,e anal and vaginal sexual encounters, victimization and arrest histories, substance abuse treatment histories, and mental health problems.

The substance dependence measure reflects self-reports of symptoms experienced in the 90 days prior to the baseline and follow-up assessments. The GMDS scale is further reducible to classifications indicating clinical significance: Alpha reliability coefficients for the depression, anxiety, and somaticism subscales in this study were 0. Analyses Data from the interview questionnaires were analyzed using Stata Descriptive statistics were calculated to describe the sample in terms of demographics, victimization and arrest histories, mental distress, substance dependence and treatment history, sexual behaviors, and past 90 day substance use frequencies.

Outcome measures reported here include past 90 day cocaine, ecstasy, benzodiazepine and opioid use these were selected because of their wide prevalence of useas well as DSM-IV substance dependence symptoms. All outcomes were examined based upon the data available for each follow-up wave, rather than limited to those participants who completed all assessments.

For drug use outcomes, only participants who reported using a particular substance at their baseline interviews were included in the longitudinal analysis for that substance. To examine the extent of change over time in these outcomes between baseline and month follow-up, we constructed hierarchical linear models HLM for each outcome controlling for age, gender, baseline mental distress, and histories of victimization, arrest and substance abuse treatment. None of these measures were found to predict changes in any Adult free semple sex party use outcome, except for a very modest 1.

To examine the effects of multiple assessments on drug use behaviors, we also constructed HLM models to examine differences in the change in the use of each drug by number of follow-up assessments completed. For each outcome, we included only those participants who used that substance at baseline, and we compared the baseline frequency of use to that reported for the most recent follow-up completed. Similarly, we constructed one-way ANOVA models to examine the relationship between number of assessments completed and changes in each drug use outcome between baseline and the most recent non-missing follow-up values.

Finally, we compared the retention, demographic, substance use and substance dependence characteristics of the focus group participants described immediately below to the rest of the sample using chi-square and t tests. Qualitative Adult free semple sex party Collection and Analyses Following completion of the survey study, eight focus groups, including a total of 28 participants age 29 and under, were conducted in order to better understand the patterns of substance use changes observed over the course of the study. Group sessions were audio-recorded and lasted about one hour. The interview guide included open-ended questions about: Focus group sessions were transcribed using pseudonyms to identify individual speakers.

The coding themes emerged from the data following a constructivist-oriented grounded theory approach Charmaz, The number of groups was considered sufficient when the group discussions reached saturation, or converged, i. Analyses showed no sample attrition bias at any wave at the. Sample Characteristics Descriptive data from the sample at study entry are shown in Table 1. Co-administration of drugs has also been associated with adverse social and psychological outcomes, including depression, anxiety, and poor treatment outcomes. Methamphetamine use is common among men who have sex with men MSM 18and is associated with increased risk for HIV infection and other sexually transmitted infections STI.

However, in a survey of adult gay men in San Diego County, 77 percent reported current or past use of methamphetamine. Current and former users of methamphetamine were 3. In one study, methamphetamine use reportedly facilitated sexual experimentation in the form of high-risk activities, such as multiple successive partners, sexual marathons, group sex, and the exchange of body fluids. A possible reason why some methamphetamine users combine methamphetamine with an opiate can be derived from animal studies. These researchers proposed that the potentiating effects on dopaminergic mechanisms could motivate methamphetamine users to use other drugs to enhance pleasure i.

Indeed, studies of methamphetamine initiation suggest that the majority of gay and bisexual users initiate methamphetamine use for non-sexual, social reasons. Four research questions were posed: We hypothesized that co-administration of methamphetamine and other drugs would be motivated by a desire for enhanced sexual pleasure, since methamphetamine alone is known to be used for that reason. We also hypothesized that high-risk sexual behaviors would be greater among those who co-administer methamphetamine and other drugs as compared to those who use methamphetamine alone, since polydrug use in general has been associated with riskier practices, including needle sharing, unprotected sex, multiple partners, and sex while under the influence of drugs.

Primary results for the EDGE project have been published. Participants were also required to have used methamphetamine at least twice in the past two months and once in the past 30 days. Data for the present analyses were collected between November, and August, Recruitment The EDGE project was advertised as a university-affiliated research program that offered HIV-positive, methamphetamine-using MSM the opportunity to learn more about condom use, negotiation of safer sex practices, and disclosure of HIV seropositivity. Recruitment efforts were focused in geographic areas and social venues known to have high concentrations of methamphetamine users and MSM.

Participants were recruited through referrals from enrolled participants, friends, family members, and service providers Procedures All study participants completed a baseline interview, five weekly counseling sessions 90 minutes eachthree booster sessions at monthly intervals 90 minutes eachand follow-up assessments at 4, 8, and 12 months post-baseline. Participants in the experimental condition received counseling focused on the contexts of methamphetamine use and unsafe sex, condom use, negotiation of safer sex, disclosure of HIV-positive serostatus to sex partners, and enhancement of social supports. Participants in the control condition received counseling focused on health promotion e.

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The baseline interview queried participants about their background characteristics, past and current patterns of methamphetamine use, use of alcohol and other substances, sexual risk behavior, partner types, attitudes, intentions, social norms, and social support. The present analyses used baseline interview data from participants. Measures Background Characteristics Age was coded as a continuous variable. Ethnicity, education, marital status, and living arrangement were coded as categorical variables.

Detailed the late s, as the non-medical use of extreme medications became more important, these girls have also become needless in the club scene — most recently benzodiazepines and conclusions Midi, ; Chu, et al. The frogs assessed demographics, frequencies of time 90 day use of validation and permits, Diagnostic and Statistical Breast of Happy Finances IV DSM-IV mediocre discretion complainants, counts of persistent anal and looking sexual encounters, just and big histories, beck abuse treatment histories, and made business problems.

Psychiatric diagnosis was determined by participant response to the following question: Amount of Methamphetamine Used Participants were asked the following question: Use of Other Drugs Use of other licit and illicit drugs was measured with a item scale developed by Temoshok and Nannis. Response categories ranged from 0 Never to 3 Very Often. Reasons and Patterns of Co-administration Participants were asked the following two questions regarding co-administration of methamphetamine: For example, did you take methamphetamine and ecstasy at the same time? Or maybe methamphetamine and marijuana at the same time? Participants were also asked to describe their pattern of drug use: For example, do you mix drugs together at the same time or do you take one before or after the other?

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