References
- Safdar N, Abbo LM, Knobloch MJ, Seo SK. Research methods in healthcare epidemiology: survey and qualitative research. Infect Control Hosp Epidemiol. 2016;37:1272–77. doi:https://doi.org/10.1017/ice.2016.171.
- Rosay AB, Najaka SS, Herz DC. Differences in the validity of self-reported drug use across five factors: gender, race, age, type of drug, and offense seriousness. J Quant Criminol. 2007;23:41–58.
- Napper LE, Fisher DG, Johnson ME, Wood MM. The reliability and validity of drug users’ self reports of amphetamine use among primarily heroin and cocaine users. Addict Behav. 2010;35:350–54. doi:https://doi.org/10.1016/j.addbeh.2009.12.006.
- King KM, Kim DS, McCabe CJ. Random responses inflate statistical estimates in heavily skewed addictions data. Drug Alcohol Depend. 2018;183:102–10. doi:https://doi.org/10.1016/j.drugalcdep.2017.10.033.
- Palamar JJ, Shearston JA, Cleland CM. Discordant reporting of nonmedical opioid use in a nationally representative sample of US high school seniors. Am J Drug Alcohol Abuse. 2016;42:530–38. doi:https://doi.org/10.1080/00952990.2016.1178269.
- Palamar JJ, Le A. Discordant reporting of nonmedical amphetamine use among adderall-using high school seniors in the US. Drug Alcohol Depend. 2017;181:208–12. doi:https://doi.org/10.1016/j.drugalcdep.2017.09.033.
- Mensch BS, Kandel DB. Underreporting of substance use in a national longitudinal youth cohort: individual and interviewer effects. Public Opin Q. 1988;52:100–24. doi:https://doi.org/10.1086/269084.
- Fendrich M, Vaughn CM. Diminished lifetime substance use over time: an inquiry into differential underreporting. Public Opin Q. 1994;58:96–123. doi:https://doi.org/10.1086/269410.
- Palamar JJ, Le A. Underreporting of drug use on a survey of electronic dance music party attendees. Addict Res Theory. 2020;28:321–27. doi:https://doi.org/10.1080/16066359.2019.1653860.
- Gomez S All the states that legalized marijuana; 2020. Available from: https://www.addictioncenter.com/news/2020/11/states-legalized-marijuana/ [last accesssed 21 Apr 2021].
- National Conference of State Legislatures. Marijuana Overview; 2020.
- Han BH, Sherman S, Mauro PM, Martins SS, Rotenberg J, Palamar JJ. Demographic trends among older cannabis users in the United States, 2006-13. Addiction. 2017;112:516–25. doi:https://doi.org/10.1111/add.13670.
- Han BH, Palamar JJ. Trends in cannabis use among older adults in the United States, 2015-2018. JAMA Intern Med. 2020;180:609–11. doi:https://doi.org/10.1001/jamainternmed.2019.7517.
- Hasin DS, Sarvet AL, Cerdá M, Keyes KM, Stohl M, Galea S, Wall MM, et al. US adult illicit cannabis use, cannabis use disorder, and medical marijuana laws: 1991-1992 to 2012-2013. JAMA Psychiatry. 2017;74:579–88.
- Cerdá M, Mauro C, Hamilton A, Levy NS, Santaella-Tenorio J, Hasin D, Wall MM, et al. Association between recreational marijuana legalization in the United States and changes in marijuana use and cannabis use disorder from 2008 to 2016. JAMA Psychiatry. 2020;77:165–171.
- Cerdá M, Wall M, Keyes KM, Galea S, Hasin D. Medical marijuana laws in 50 states: investigating the relationship between state legalization of medical marijuana and marijuana use, abuse and dependence. Drug Alcohol Depend. 2012;120:22–27. doi:https://doi.org/10.1016/j.drugalcdep.2011.06.011.
- Johnston LD, Miech RA, O’Malley PM, Bachman JG, Schulenberg JE, Patrick ME. Monitoring the Future national survey results on drug use 1975-2020: overview, key findings on adolescent drug use. Ann Arbor: Institute for Social Research, University of Michigan; 2021.
- Miech RA, Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE, Patrick ME. Monitoring the Future national survey results on drug use, 1975–2019: volume I, Secondary school students. Ann Arbor: Institute for Social Research, The University of Michigan; 2020.
- Gotts JE, Jordt S-E, McConnell R, Tarran R. What are the respiratory effects of e-cigarettes? BMJ. 2019;366:l5275. doi:https://doi.org/10.1136/bmj.l5275.
- Kalininskiy A, Bach C., Nacca NE, Ginsberg G, Marraffa J, Navarette KA, McGraw MD, Croft DP. E-cigarette, or vaping, product use associated lung injury (EVALI): case series and diagnostic approach. The Lancet Respir Med. 2019;7:1017–1026.
- Centers for Disease Control and Prevention. Outbreak of lung injury associated with the use of e-cigarette, or vaping, products Atlanta, GA: U.S. Department of Health & Human Services; 2020.
- Krishnasamy V, Hallowell B, Ko J, Board A, Hartnett KP, Salvatore PP, Danielson M, Kite-Powell A, Twentyman E, Kim L. Update: characteristics of a nationwide outbreak of e-cigarette, or vaping, product use-associated lung injury - United States, August 2019-January 2020. MMWR Morb Mortal Wkly Rep. 2020;69:90–94. doi:https://doi.org/10.15585/mmwr.mm6903e2.
- Navon L, Jones C, Ghinai I, King BA, Briss PA, Hacker KA, Layden JE. Risk factors for e-cigarette, or vaping, product use-associated lung injury (EVALI) among adults who use e-cigarette, or vaping, products - Illinois, July-October 2019. MMWR Morb Mortal Wkly Rep. 2019;68:1034–39. doi:https://doi.org/10.15585/mmwr.mm6845e1.
- Chand HS, Muthumalage T, Maziak W, Rahman I. Pulmonary toxicity and the pathophysiology of electronic cigarette, or vaping product, use associated lung injury. Front Pharmacol. 2019;10:1619. doi:https://doi.org/10.3389/fphar.2019.01619.
- Muthumalage T, Friedman MR, McGraw MD, Ginsberg G, Friedman AE, Rahman I. Chemical constituents involved in e-cigarette, or vaping product use-associated Lung Injury (EVALI). Toxics. 2020;8:2. doi:https://doi.org/10.3390/toxics8020025.
- Leung J, Chan GCK, Hides L, Hall WD. What is the prevalence and risk of cannabis use disorders among people who use cannabis? a systematic review and meta-analysis. Addict Behav. 2020;109:106479. doi:https://doi.org/10.1016/j.addbeh.2020.106479.
- Stefaniak AB, LeBouf RF, Ranpara AC, Leonard SS. Toxicology of flavoring- and cannabis-containing e-liquids used in electronic delivery systems. Pharmacol Ther. 2021;224:107838.
- Breitbarth AK, Morgan J, Jones AL. E-cigarettes-an unintended illicit drug delivery system. Drug Alcohol Depend. 2018;192:98–111. doi:https://doi.org/10.1016/j.drugalcdep.2018.07.031.
- Giroud C, de Cesare M, Berthet A, Varlet V, Concha-Lozano N, Favrat B. E-cigarettes: a review of new trends in cannabis use. Int J Environ Res Public Health. 2015;12:9988–10008. doi:https://doi.org/10.3390/ijerph120809988.
- Palamar JJ, Le A. Self-correction of unreported marijuana use by participants taking a street intercept survey. Am J Drug Alcohol Abuse. 2020;46:708–17. doi:https://doi.org/10.1080/00952990.2020.1745219.
- Dembo R, Robinson RB, Barrett K, Winters KC, Ungaro R, Karas L, Belenko S, Wareham J. The validity of truant youths’ marijuana use and its impact on alcohol use and sexual risk taking. J Child Adolesc Subst Abuse. 2015;26:355–365.
- Bessa MA, Mitsuhiro SS, Chalem E, Barros MM, Guinsburg R, Laranjeira R. Underreporting of use of cocaine and marijuana during the third trimester of gestation among pregnant adolescents. Addict Behav. 2010;35:266–69. doi:https://doi.org/10.1016/j.addbeh.2009.10.007.
- Palamar JJ, Le A, Guarino H, Mateu-Gelabert P. A comparison of the utility of urine- and hair testing in detecting self-reported drug use among young adult opioid users. Drug Alcohol Depend. 2019;200:161–67. doi:https://doi.org/10.1016/j.drugalcdep.2019.04.008.
- Cohen J. A coefficient of agreement for nominal scales. Educ Psychol Meas. 1960;20:37–46. doi:https://doi.org/10.1177/001316446002000104.
- Heeringa SG, West BT, Berglund PA. Applied survey data analysis. London: Chapman and Hall: CRC Press; 2010.
- Palamar JJ, Barratt MJ, Coney L, Martins SS. Synthetic cannabinoid use among high school seniors. Pediatrics. 2017;140:e20171330. doi:https://doi.org/10.1542/peds.2017-1330.
- Rubin DB. Multiple imputation for nonresponse in surveys. New York: Wiley & Sons; 1987.
- Bachman JG, Johnson LD, O’Malley PM. Explaining recent increases in students’ marijuana use: impacts of perceived risks and disapproval, 1976 through 1996. Am J Public Health. 1998;88:887–92. doi:https://doi.org/10.2105/AJPH.88.6.887.
- de Leeuw RN, Engels RC, Vermulst AA, Scholte RH. Do smoking attitudes predict behaviour? A longitudinal study on the bi-directional relations between adolescents’ smoking attitudes and behaviours. Addiction. 2008;103:1713–21. doi:https://doi.org/10.1111/j.1360-0443.2008.02293.x.
- Donnelly FM, Mowery JL, McCarver DG. Knowledge and misconceptions among inner-city African-American mothers regarding alcohol and drug use. Am J Drug Alcohol Abuse. 1998;24:675– 83. doi:https://doi.org/10.3109/00952999809019616.
- Raskin R, Novacek J, Hogan R. Drug culture expertise and substance use. J Youth Adolesc. 1992;21:625–37. doi:https://doi.org/10.1007/BF01537399.
- Miech RA, Couper MP, Heeringa SG, Patrick ME. The impact of survey mode on US national estimates of adolescent drug prevalence: results from a randomized controlled study. Addiction. 2021;116:1144–51. doi:https://doi.org/10.1111/add.15249.
- Swanson SA, Brown TA, Crosby RD, Keel PK. What are we missing? The costs versus benefits of skip rule designs. International Journal of Methods in Psychiatric Research. 2014;23:474–85. doi:https://doi.org/10.1002/mpr.1396.
- Hjortskov M. Priming and context effects in citizen satisfaction surveys. Public Adm. 2017;95:912–26. doi:https://doi.org/10.1111/padm.12346.
- Moss SE, Lawrence KG. The effects of priming on the self-reporting of perceived stressors and strains. J Organ Behav. 1997;18:393–403. doi:https://doi.org/10.1002/(SICI)1099-1379(199707)18:4<393::AID-JOB809>3.0.CO;2-5.
- Mueller-Hanson RA, Heggestad ED, Thornton III GC. Individual differences in impression management: an exploration of the psychological processes underlying faking. Psychol Sci. 2006;48:288–312.
- Goffman E. The Presentation of Self in Everyday Life. New York: Doubleday; 1959.
- McFarland LA, Ryan AM. Variance in faking across noncognitive measures. J Appl Psychol. 2000;85:812–21. doi:https://doi.org/10.1037/0021-9010.85.5.812.
- Snell AF, Sydell EJ, Lueke SB. Towards a theory of applicant faking: integrating studies of deception. Human Res Manage Rev. 1999;9:219–42. doi:https://doi.org/10.1016/S1053-4822(99)00019-4.
- Johnson T, Fendrich M. Modeling sources of self-report bias in a survey of drug use epidemiology. Ann Epidemiol. 2005;15:381–89. doi:https://doi.org/10.1016/j.annepidem.2004.09.004.
- Robinson-Cimpian JP. Inaccurate estimation of disparities due to mischievous responders: severalsuggestions to assess conclusions. Educ Res. 2014;43:171–85. doi:https://doi.org/10.3102/0013189X14534297.
- Percy A, McAlister S, Higgins K, McCrystal P, Thornton M. Response consistency in young adolescents’ drug use self-reports: a recanting rate analysis. Addiction. 2005;100:189–96. doi:https://doi.org/10.1111/j.1360-0443.2004.00943.x.
- Norwood MS, Hughes JP, Amico KR. The validity of self-reported behaviors: methods for estimating underreporting of risk behaviors. Ann Epidemiol. 2016;26:612–618.e612. doi:https://doi.org/10.1016/j.annepidem.2016.07.011.