High Prevalence of Tobacco Product and E-Cigarette Use among Electronic Dance Music Party Attendees

References

• Berg, C. J., Stratton, E., Schauer, G. L., Lewis, M., Wang, Y., Windle, M., & Kegler, M. (2015). Perceived harm, addictiveness, and social acceptability of tobacco products and marijuana among young adults: Marijuana, hookah, and electronic cigarettes win. Substance Use & Misuse, 50(1), 79–89. doi:10.3109/10826084.2014.958857
   PubMed Web of Science ®Google Scholar
• Breitbarth, A. K., Morgan, J., & Jones, A. (2018). E-cigarettes—an unintended illicit drug delivery system. Drug and Alcohol Dependence, 192, 98–111. doi:10.1016/j.drugalcdep.2018.07.031
   PubMed Web of Science ®Google Scholar
• Chen, X., Yu, B., Lasopa, S. O., & Cottler, L. B. (2017). Current patterns of marijuana use initiation by age among US adolescents and emerging adults: Implications for intervention. The American Journal of Drug and Alcohol Abuse, 43(3), 261–270. doi:10.3109/00952990.2016.1165239
   PubMed Web of Science ®Google Scholar
• Cullen, K. A., Ambrose, B. K., Gentzke, A. S., Apelberg, B. J., Jamal, A., & King, B. A. (2018). Notes from the field: Use of electronic cigarettes and any tobacco product among middle and high school students—United States, 2011–2018. MMWR. Morbidity and Mortality Weekly Report, 67(45), 1276–1277. doi:10.15585/mmwr.mm6745a5
   PubMed Web of Science ®Google Scholar
• Griffin, M., Callander, D., Duncan, D. T., & Palamar, J. J. (2019). Differential risk for drug use by sexual minority status among electronic dance music party attendees in New York City. Substance Use and Misuse, 55(2), 1–11. doi:10.1080/10826084
   PubMed Web of Science ®Google Scholar
• Haardörfer, R., Berg, C. J., Lewis, M., Payne, J., Pillai, D., McDonald, B., & Windle, M. (2016). Polytobacco, marijuana, and alcohol use patterns in college students: A latent class analysis. Addictive Behaviors, 59, 58–64. doi:10.1016/j.addbeh.2016.03.034
   PubMed Web of Science ®Google Scholar
• Haddad, L., El-Shahawy, O., Ghadban, R., Barnett, T. E., & Johnson, E. (2015). Waterpipe Smoking and Regulation in the United States: A Comprehensive Review of the Literature. International Journal of Environmental Research and Public Health, 12(6), 6115–6135. doi:10.3390/ijerph120606115
   PubMed Web of Science ®Google Scholar
• Heeringa, S. G., West, B. T., & Berglund, P. A. (2010). Applied survey data analysis. New York: CRC Press.
   Google Scholar
• Jenness, S. M., Neaigus, A., Murrill, C. S., Gelpi-Acosta, C., Wendel, T., & Hagan, H. (2011). Recruitment-adjusted estimates of HIV prevalence and risk among men who have sex with men: Effects of weighting venue-based sampling data. Public Health Reports, 126(5), 635–642. doi:10.1177/003335491112600505
   PubMed Web of Science ®Google Scholar
• Lee, Y. O., Hebert, C. J., Nonnemaker, J. M., & Kim, A. E. (2014). Multiple tobacco product use among adults in the United States: Cigarettes, cigars, electronic cigarettes, hookah, smokeless tobacco, and snus. Preventive Medicine, 62, 14–19. doi:10.1016/j.ypmed.2014.01.014
   PubMed Web of Science ®Google Scholar
• Lisha, N. E., Carmody, T. P., Humfleet, G. L., & Delucchi, K. L. (2014). Reciprocal effects of alcohol and nicotine in smoking cessation treatment studies. Addictive Behaviors, 39(3), 637–643. doi:10.1016/j.addbeh.2013.11.018
   PubMed Web of Science ®Google Scholar
• MacKellar, D. A., Gallagher, K. M., Finlayson, T., Sanchez, T., Lansky, A., & Sullivan, P. S. (2007). Surveillance of HIV risk and prevention behaviors of men who have sex with men—a national application of venue-based, time-space sampling. Public Health Reports, 122(1_suppl), 39–47. doi:10.1177/00333549071220S107
   PubMedGoogle Scholar
• Martínez, C., Guydish, J., Le, T., Tajima, B., & Passalacqua, E. (2015). Predictors of quit attempts among smokers enrolled in substance abuse treatment. Addictive Behaviors, 40, 1–6. doi:10.1016/j.addbeh.2014.08.005
   PubMed Web of Science ®Google Scholar
• McHugh, R. K., Votaw, V. R., Sugarman, D. E., & Greenfield, S. F. (2018). Sex and gender differences in substance use disorders. Clinical Psychology Review, 66, 12–23. doi:10.1016/j.cpr.2017.10.012
   PubMed Web of Science ®Google Scholar
• Palamar, J. J., Acosta, P., Ompad, D. C., & Cleland, C. M. (2017). Self-reported ecstasy/MDMA/“Molly.” Substance Use & Misuse. 52(1), 82–91. doi:10.1080/10826084.2016.1219373
   PubMed Web of Science ®Google Scholar
• Palamar, J. J., Acosta, P., Sherman, S., Ompad, D. C., & Cleland, C. M. (2016). Self-reported use of novel psychoactive substances among attendees of electronic dance music venues. The American Journal of Drug and Alcohol Abuse, 42(6), 624–632. doi:10.1080/00952990.2016.1181179
   PubMed Web of Science ®Google Scholar
• Palamar, J. J., Griffin-Tomas, M., & Ompad, D. C. (2015). Illicit drug use among rave attendees in a nationally representative sample of US high school seniors. Drug and Alcohol Dependence, 152, 24–31. doi:10.1016/j.drugalcdep.2015.05.002
   PubMed Web of Science ®Google Scholar
• Park, S. H., Duncan, D. T., Shahawy, O. E., Shearston, J. A., Lee, L., Tamura, K., Sherman, S. E., & Weitzman, M. (2017). Analysis of state-specific prevalence, regional differences, and correlates of hookah use in US adults, 2012–2013. Nicotine & Tobacco Research, 19(11), 1365–1374.
   PubMed Web of Science ®Google Scholar
• Phillips, E., Wang, T. W., Husten, C. G., Corey, C. G., Apelberg, B. J., Jamal, A., Homa, D. M., Ing, B. A. … (2017). Tobacco Product Use Among Adults—United States, 2015. MMWR. Morbidity and Mortality Weekly Report, 66(44), 1209–1215. doi:10.15585/mmwr.mm6644a2
   PubMed Web of Science ®Google Scholar
• R-Core Team. (2019). “R: A language and environment for statistical computing. R Foundation for statistical computing.” Vienna, Austria. https://www.r-project.org/.
   Google Scholar
• Redonnet, B., Chollet, A., Fombonne, E., Bowes, L., & Melchior, M. (2012). Tobacco, alcohol, cannabis and other illegal drug use among young adults: The socioeconomic context. Drug and Alcohol Dependence, 121(3), 231–239. doi:10.1016/j.drugalcdep.2011.09.002
   PubMed Web of Science ®Google Scholar
• Regan, A. K., Promoff, G., Dube, S. R., & Arrazola, R. (2013). Electronic nicotine delivery systems: Adult use and awareness of the ‘e-cigarette’ in the USA. Tobacco Control, 22(1), 19–23. doi:10.1136/tobaccocontrol-2011-050044
   PubMed Web of Science ®Google Scholar
• Thompson, M. L., Myers, J. E., & Kriebel, D. (1998). Prevalence odds ratio or prevalence ratio in the analysis of cross sectional data: What is to be done? Occupational and Environmental Medicine, 55(4), 272–277. doi:10.1136/oem.55.4.272
   PubMed Web of Science ®Google Scholar
• Watters, J. K., & Biernacki, P. (1989). Targeted sampling: Options for the study of hidden populations. Social Problems, 36(4), 416–430. doi:10.2307/800824
   Web of Science ®Google Scholar