Abstract
This secondary analysis of cross-sectional baseline data from an intervention trial study examines demographics, sexually transmitted infection (STI) history, substance use and sexual risk behaviors among young adult nightclub participants who do (n=79) and do not (n=419) frequent “strip” or adult entertainment clubs (AECs) in Miami, Florida. AEC patrons were older (p=.003), and more likely to identify as Black race (p<.001), and report STI history (p<.005). Compared to those who do not, AEC patrons also reported greater recent (past 90-day) frequencies of alcohol (p=.029) and ecstasy (p<.001) use, higher numbers of recent sex partners (p=.043) and were more likely to report recently being high during sex a majority of the time (p=.031). Increased HIV/STI prevention efforts among young adult AEC patrons appear warranted.
Keywords: HIV, STI, Strip club, Adult Entertainment, Drugs
Introduction
Popularly known as “strip clubs,” adult entertainment clubs (AECs) are venues in which performers exhibit nudity to facilitate social and economic exchange with customers [1]. Research examining AECs has predominately focused on women dancers and documented elevated reports of substance use and increased risk for HIV or other sexually transmitted infections (STIs) [2–5].
Literature describing AEC patrons is limited. However, sociological studies describe AECs as environments in which patrons can express sexual desires, present facets of their personalities which are typically hidden, and act in ways that would be considered deviant in other contexts [6]. Additionally, AECs provide patrons with a leisure activity that allows for fantasy fulfillment and relative protection from police enforcement of illegal activities [7]. The pursuit of sex is also prevalent [1,6,7].
AECs serve as recreational spaces in which alcohol and drugs are accessed and consumed [8] and risky sexual behaviors are common [2, 3]. As such, AECs may be similar to other nightlife venues in which the consumption of alcohol and other drugs is related to the environmental context and associated sensations and experiences [9]. Nightlife venues, including bars, nightclubs, and electronic dance music parties, are known risk environments [10–12], especially for young adults in the club scene who report myriad poor health outcomes related to substance use and sexual behaviors [13].
Despite this context, literature examining sexual and other risk behaviors among AEC patrons is scant. The present study examines demographics, STI history, substance use and sexual risk behaviors among young adult nightclub participants who do and do not frequent AECs in Miami, Florida.
Methods
Participants and procedures
Data are drawn from baseline assessments of a behavioral substance use and sexual risk reduction intervention trial that was designed for young adults in the club drug scene. The primary outcomes and detailed methods and procedures of the trial are published [13]. The protocol is registered with ClinicalTrials.gov #NCT01362634. A total of 498 participants completed comprehensive health and social risk assessments and were included in analyses. All participants were between the ages of 18–39 and met the same past 90-day eligibility criteria: 1) sex with a partner of a different gender; 2) use one or more club drugs (defined as powder cocaine, ecstasy, GHB, methamphetamine, ketamine, and LSD) at least three times; 4) non-medical use (e.g., use for fun, to relax, get high, or come down from another substance) of one or more psychoactive prescription medications at least once; and 5) regular attendance (i.e., once or more per month) at large recognized local nightclubs. Eligibility was restricted to men and women who reported sex with a partner of a different gender so that the sexual risk reduction components of the intervention could be carefully targeted and meaningful to participants. Individuals who also reported sex with a person of the same gender were not excluded from the study.
Recruitment
Participants were recruited through respondent-driven sampling (RDS) [14], a form of chain referral sampling, which has been shown to quickly reduce sources of respondent bias (such as age, race/ethnicity, gender, and drug of choice) as successive branches or waves of respondents are enrolled and then solicited for additional contacts [14, 15]. In this study, initial respondents (“seeds”) were recruited through outreach at local nightclubs and existing contacts in the club scene. Each seed and subsequent study participant was provided with recruitment coupons to give to other club drug users in their social network, with the understanding that they would earn $50 for the recruitment of each additional eligible respondent. Each respondent/recruiter was limited to five coupons to prevent a few participants with large social networks from biasing the overall sample toward those with similar demographic and drug using profiles (homophily) [14].
Informed consent was obtained from all participants prior to study participation. Participants were given a $50 stipend for their time and travel expenses following the interview. This study was approved by the Nova Southeastern University Institutional Review Board.
Measures
Baseline assessments were primarily comprised of the Global Appraisal of Individual Needs (ver. 5.4) [16], which has several core sections (background, substance use, physical health, sexual behaviors, mental health, victimization, criminal justice involvement, and education/work/financial situation), with each section containing questions on the recency of problems, breadth of symptoms and recent (past 90-day) and past-year prevalences in days or times.
Demographics
Demographic measures included age, years of education, gender, race/ethnicity, sexual orientation, and history of sexually transmitted infections (i.e., syphilis, gonorrhea, and chlamydia). Race/ethnicity was assessed by asking participants if they identified as Hispanic or Latino, followed by what race they consider themselves to be.
Substance use
Recent frequencies of substance use, in days (range 0-90), were assessed by asking, “In the past 90 days, since [anchor point], how many days have you used [substance]”.
Sexual behaviors
Participants were asked to report the number of recent sexual partners. Recent condomless vaginal sex frequencies were assessed with the questions, “In the past 90 days, how many different times have you had vaginal sex?” and “Of those ‘X’ times you had vaginal sex, how many times was it without a condom even if for only part of the time, like starting without one or taking it off before finishing?” The same questions were repeated for anal sex. We also asked whether, during the past 90 days, a participant had bought sex, (i.e., “use money or drugs to purchase or get sex”), traded sex (i.e., “have sex to get drugs, gifts, or money”), or had sex with a person who injects drugs, all coded yes vs. not. Being high during sex was assessed with the question, “How often in the past 90 days were you ‘high’ on either alcohol or drugs when you were having sex with another person?” Responses were based on a five-point scale ranging from “never” to “almost all the time.” For analysis, this measure was dichotomized into being “high during sex half the time or more” versus not.
AEC participation
Participants who reported an AEC in their top three most frequented clubs were coded as “AEC patron” versus not.
Method of Analysis
To compare AEC patrons (n=79) and non-patrons (n=419), analysis of variance (ANOVA) tests were used to examine continuous variables and bivariate regression models were constructed to examine dichotomous measures. Presentation of findings include means and standard deviations (SD) or odds ratios (OR) and test statistics. Statistical inferences were based on a type I error rate of 0.05. All analyses were conducted using IBM SPSS Statistics ver. 27.
Results
The sample profile (N=498) is shown is Table I. The mean age was 25 years; slightly less than half of the sample was female (44.6%), and a majority completed 12 or more years of education (84.7%). The sample include participants who identified as Hispanic (64.3%), African American/Black (20.9%), White (12%), and other race/ethnicity (2.8%). Heterosexual identity was reported by 78.3% of the sample.
Table I:
Profile of the study sample
| M | (SD) | N | % | |
|---|---|---|---|---|
| Age | 25.3 | (5.413) | ||
| Education (≥12 years) | 422 | 84.7% | ||
| Women | 222 | 44.6% | ||
| Race/ethnicity | ||||
| Hispanic | 320 | 64.3% | ||
| African American/Black | 104 | 20.9% | ||
| White | 60 | 12.0% | ||
| Other race/ethnicity | 14 | 2.8% | ||
| Sexual identity | ||||
| Heterosexual/straight | 390 | 78.3% | ||
| Bisexual | 94 | 18.9% | ||
| Homosexual/gay | 11 | 2.2% | ||
| Other sexual identity | 3 | .6% |
Nearly 16% of participants reported recent and frequent AEC patronage. Table 2 shows that AEC patrons were older (26.90 years vs. 24.86 years, F=8.664, p=.003), more likely to be African American/Black (OR=7.010, p<.001), and less likely to be Hispanic (OR=.272, p<.001). Compared to others, AEC patrons were more than twice as likely to report a history of STI (OR=2.337, p<.011), greater recent frequencies of days using alcohol (53.10 days vs. 46.20 days, F=4.767p<.029) and ecstasy (38.97 days vs. 28.46 days, F=13.046, p<.001), and more than twice the odds of being high during sex a majority of the time during the past 90 days (OR=2.163, p=.031). Mean number of recent sex partners was also higher among AEC patrons (9.96 partners vs. 6.60 partners, F=4.099, p=.043).
Table II:
Bivariate logistic regression and ANOVA models of demographics, STI history, substance use, and sexual risk behaviors associated with AEC patronage among young adult nightclub participants (N=498)
| Bivariate regressions models | ANOVA | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||||||
| AEC patrons (N=79) | Non-patrons (N=419) | OR | 95% CI | P | AEC patrons (N=79) | Non-patrons (N=419) | F | P | |||||
| N | % | N | % | M | SD | M | SD | ||||||
| Demographics and Background | |||||||||||||
| Age | 26.90 | (4.994) | 24.86 | (5.439) | 8.664 | 0.003 | |||||||
| Education (≥12 years) | 65 | 82.3% | 357 | 85.2% | 0.806 | 0.426, 1.525 | 0.508 | ||||||
| Women | 41 | 51.9% | 181 | 43.2% | 1.419 | 0.876, 2.297 | 0.155 | ||||||
| Hispanic | 30 | 38.0% | 290 | 69.2% | 0.272 | 0.165, 0.449 | <0.001 | ||||||
| African American/Black | 43 | 54.4% | 61 | 14.6% | 7.010 | 4.170, 11.784 | <0.001 | ||||||
| White | 5 | 6.3% | 55 | 13.1% | 0.447 | 0.173, 1.155 | 0.096 | ||||||
| Other race/ethnicity | 1 | 1.3% | 13 | 3.1% | 0.399 | 0.052, 3.097 | 0.038 | ||||||
| Heterosexual identity | 59 | 74.7% | 331 | 79.0% | 0.784 | 0.448, 1.372 | 0.394 | ||||||
| STI history | 19 | 24.1% | 50 | 11.9% | 2.337 | 1.290, 4.235 | 0.005 | ||||||
| Days Substance Use 1 | |||||||||||||
| Alcohol | 53.10 | (26.482) | 46.20 | (25.644) | 4.767 | 0.029 | |||||||
| Marijuana | 63.81 | (31.866) | 62.24 | (32.249) | 0.158 | 0.691 | |||||||
| Cocaine (powder) | 35.91 | (27.815) | 31.37 | (26.108) | 1.965 | 0.162 | |||||||
| Crack cocaine | 5.77 | (17.169) | 7.06 | (17.931) | 0.347 | 0.556 | |||||||
| Ecstasy | 38.97 | (25.119) | 28.46 | (23.477) | 13.046 | <0.001 | |||||||
| LSD | 5.86 | (13.672) | 6.29 | (12.615) | 0.076 | 0.783 | |||||||
| Hallucinogens | 8.38 | (18.367) | 7.75 | (14.949) | 0.108 | 0.743 | |||||||
| Methamphetamine | 3.23 | (11.883) | 4.84) | 14.503 | 0.864 | 0.353 | |||||||
| GHB | 3.37 | (13.001) | 2.74 | (10.859) | 0.209 | 0.648 | |||||||
| Heroin | 7.61 | (21.095) | 6.96 | (20.462) | 0.067 | 0.797 | |||||||
| Rx benzodiazepines | 35.34 | (28.726) | 34.92 | (30.541) | 0.013 | 0.909 | |||||||
| Rx opioids | 37.46 | (26.283) | 31.32 | (29.397) | 2.988 | 0.085 | |||||||
| HIV/STI Risk Behavior | |||||||||||||
| Number of sex partners1 | 9.96 | (22.465) | 6.60 | (11.095) | 4.099 | 0.043 | |||||||
| Condomless vaginal sex times1 | 39.13 | (31.879) | 43.24 | (56.549) | 0.393 | 0.531 | |||||||
| Condomless anal sex times1 | 11.44 | (16.192) | 10.17 | (22.534) | 0.094 | 0.760 | |||||||
| Buy sex2 | 1.679 | 0.858, 3.286 | 0.131 | ||||||||||
| Trade/sell sex2 | 1.654 | 0.879, 3.115 | 0.119 | ||||||||||
| Sex with a person who injects drugs2 | 0.718 | 0.313, 1.646 | 0.433 | ||||||||||
| High for sex ≥ half the time1 | 2.163 | 1.074, 4.357 | 0.031 | ||||||||||
past 90 days;
past year
Discussion
Media reports suggest that in recent years, due to declining customers and profits, AECs have attempted to appeal to new, younger clientele by incorporating new technologies and musical acts [17, 18]. Miami, a city with a long history of trend-setting nightlife, has a number of AECs that include 24-hour nightclubs featuring DJs and dancing, in addition to women performers [19]. Thus, in Miami and elsewhere, it appears that the culture inside of these venues is changing and young adult clientele may experience novel substance use and sexual environments that entail greater health risks compared to traditional nightclub venues.
This study documented an emerging trend of AEC patronage among a sample of young adults. Findings indicate higher AEC patronage among African American/Black individuals, compared to other race/ethnicities. AEC patrons also report increased STI history and greater frequencies of alcohol and ecstasy use, and being high during sex., as well as more sex partners. Literature describing substance use and sexual behaviors among AEC patrons is scant, however these results cohere with similar findings from other samples of nightlife participants [10–12], and African Americans who report the use of ecstasy and sexual risk taking [20]. Substance use and risky sexual behaviors reported by AEC patrons indicates that these participants are placing themselves and others at elevated risk for HIV/STI infection. Considering the high levels of substance use, risky sexual behaviors and other health and social problems experienced among this sample [13], the heightened vulnerabilities of young adult AEC patrons is concerning.
It is notable that women and individuals who do not identify as heterosexual also attended AECs. However, nightlife environments function as settings for leisure activities, socialization, and even acquisition of social capital [21]. When combined with novel marketing and entertainment offerings, the demographic diversity of AEC patrons reported here appears to be representative of the changing nature of these venues.
Some limitations should be noted. The ability to generalize the findings to other young adults is limited by the study eligibility requirements, and the high frequencies of reported risk behaviors and health and social problems among the sample. Analyses included many relevant items related to behavioral risks associated with AEC participation, and no correction for multiple comparisons were made. All data are based on self-report.
Despite these limitations, the findings from this study illustrate a novel trend among young adults in the nightclub scene. Future research should examine AECs as risk environments in more depth to better understand motivations for AEC participation among young adults, as well as experiences inside of clubs. Subsequent findings would inform prevention and intervention efforts that target substance use and risky sexual behaviors in these settings.
Funding:
This research was supported by DHHS Grant Number 5 R01 DA019048 from the National Institute on Drug Abuse. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse or the National Institutes of Health.
Footnotes
Conflicts of interest: The authors have no conflicts to declare.
Ethics approval: This study was approved by the Internal Review Board at Nova Southeastern University (approval # 10291005F).
Consent to participate: All participants provided informed consent.
Consent for publication: Not applicable
Code availability: Not applicable
Availability of data and material:
Data are available by request.
References
- 1.Brewster ZW. Behavioral and interactional patterns of strip club patrons: Tipping techniques and club attendance. Deviant Behavior. 2003;24(3):221–43. [Google Scholar]
- 2.Lilleston PS, Reuben J, Sherman SG. Exotic dance in Baltimore: from entry to STI/HIV risk. Women & Health. 2015;55(5):595–611. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Sherman SG, Lilleston PS, Reuben J. More than a dance: the production of sexual health risk in the exotic dance clubs in Baltimore, USA. Social Science & Medicine. 2011;73(3):475–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Choo EK, Ranney ML, Mello MJ, Clark MA, Charest T, Garro CF, et al. High risk health behaviors and healthcare access among female adult entertainment club employees. Women & Health. 2012;52(7):646–57. [DOI] [PubMed] [Google Scholar]
- 5.Footer KH, Lim S, Brantley MR, Sherman SG. Structural risk and limits on agency among exotic dancers: HIV risk practices in the exotic dance club. Culture, Health & Sexuality. 2018;20(3):321–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Erickson DJ, Tewksbury R. The “gentlemen” in the club: A typology of strip club patrons. Deviant Behavior. 2000;21(3):271–293. [Google Scholar]
- 7.Frank K Exploring the motivations and fantasies of strip club customers in relation to legal regulations. Archives of Sexual Behavior. 2005;34(5):487–504. [DOI] [PubMed] [Google Scholar]
- 8.Lavin MF. If you want it, you can get it right here: Space and drug use in strip clubs. Humanity & Society. 2014;38(2):132–57. [Google Scholar]
- 9.Duff C The pleasure of pain. International Journal of Drug Policy. 2008;19(5):384–92. [DOI] [PubMed] [Google Scholar]
- 10.Pitpitan EB, Kalichman SC. Reducing HIV risks in the places where people drink: Prevention interventions in alcohol venues. AIDS and Behavior. 2015;20(1):119–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lomba L, Apóstolo J, Mendes F. Drugs and alcohol consumption and sexual behaviours in night recreational settings in Portugal. Adicciones. 2008;21(4):309–25. [PubMed] [Google Scholar]
- 12.Palamar JJ, Acosta P, Le A, Cleland CM, Nelson LS. Adverse drug-related effects among electronic dance music party attendees. International Journal of Drug Policy. 2019;73:81–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kurtz SP, Buttram ME, Pagano ME, Surratt HL. A randomized trial of brief assessment interventions for young adults who use drugs in the club scene. Journal of Substance Abuse Treatment. 2017;78:64–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Heckathorn DD. Respondent-driven sampling: A new approach to the study ofhidden populations. Social Problems. 1997;44(2):174–99. [Google Scholar]
- 15.Heckathorn DD, Semaan S, Broadhead RS, Hughes JJ. Extensions of Re-spondent-Driven Sampling: A New Approach to the Study of Injection Drug UsersAged 18–25. AIDS and Behavior. 2002;6(1):55–67. [Google Scholar]
- 16.Dennis ML. Global Appraisal of Individual Needs. Version 5.4 ed Normal, IL: Chestnut Health Systems; 2006. [Google Scholar]
- 17.Cohen S A local strip club adapts to a changing economy. Charleston City Paper [Internet]. 2001. March 11. [Accessed 2021 Aug 27]. Available from: https://www.charlestoncitypaper.com/story/a-local-strip-club-adapts-to-a-changing-economy.
- 18.Hay M Strip clubs are getting a high tech overhaul, but will it be enough to save them? Mashable [Internet]. 2019. December 17. [Accessed 2021 Aug 27]. Available from: https://mashable.com/article/strip-club-future-tech-innovations.
- 19.Jerome C The nine best strip clubs in Miami. Miami New Times [Internet]. 2020. January 30. [Accessed 2021 Aug 27]. Available from: https://www.miaminewtimes.com/arts/the-ten-best-strip-clubs-in-miami-nsfw-updated-6485998.
- 20.Rigg K, Mills A. Sexual risk behaviors among African Americans who use MDMA (molly/ecstasy): Implications for HIV prevention. Social Work in Public Health. 2020;35(5):282–92. [DOI] [PubMed] [Google Scholar]
- 21.Carlini CM, Sanches ZM. Typology of nightclubs in São Paulo, Brazil: Alcohol and illegal drug consumption, sexual behavior and violence in the venues. Substance Use & Misuse. 2018;53(11):1801–10. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data are available by request.
