The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Self-Reported Use of Tobacco, E-cigarettes, and Marijuana Versus Urinary Biomarkers
Abstract
Background Surveys have been instrumental in describing adolescent use of tobacco, electronic cigarettes (e-cigarettes), and marijuana. However, objective biomarker data are lacking. We compared adolescent self-reported use to urinary biomarkers. Methods From April 2017 to April 2018, adolescents 12 to 21 years old completed an anonymous questionnaire regarding tobacco, e-cigarette, and marijuana use and provided a urine sample. Urine was analyzed for biomarkers cotinine, total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol, and tetrahydrocannabinolic acid (THCA). Results Of 517 participants, 2.9% reported using tobacco, 14.3% e-cigarettes, and 11.4% marijuana in the past week. Only 2% reporting no smoking had total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol levels above cutoff (14.5 pg/mL); 2% of non-e-cigarette users had cotinine above cutoff (10 ng/mL); 2% of those denying marijuana use had THCA above cutoff (10 ng/mL). Daily e-cigarette users showed significantly higher median cotinine than nondaily users (315.4 [interquartile range (IQR) 1375.9] vs 1.69 ng/mL [IQR 28.2]; P 10 ng/mL. Pod users' median cotinine was significantly higher than in nonpod users (259.03 [IQR 1267.69] vs 1.61 ng/mL [IQR 16.3]; P P = .04). Sixty-one percent of those with cotinine >10 ng/mL vs 39% of those with cotinine 10 ng/mL ( P Conclusions Adolescents' self-report correlated with measured urinary biomarkers, but subjects were unaware of their nicotine exposure. More frequent e-cigarette and…
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“Second, we relied on self-reported EC and CC use in the last three months of pregnancy, which as past studies suggest, is fairly accurate and representative of an individual’s smoking pattern in pregnancy [36–39].”
Citations
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Self-citationTobacco Use Among Middle and High School Students — United States, 2011–2016
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Cited by
Tobacco product use and associated factors among middle and high school students—United States, 2019
Wang, T. W., Gentzke, A. S., Creamer, M. R., Cullen, K. A., Holder-Hayes, E., Sawdey, M. D., Anic, G. M., Portnoy, D. B., Hu, S., Homa, D. M., et al. (2019) · MMWR. Surveillance Summaries · doi:10.15585/mmwr.ss6812a1 · Cited by 576
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Unique, long-term effects of nicotine on adolescent brain.
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Adolescent Substance Use Disorders
Simon, K. M., Levy, S. J., & Bukstein, O. G. (2022) · NEJM Evidence · doi:10.1056/evidra2200051 · Cited by 43
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Metadata
- Authors
- Boykan, R., Messina, C. R., Chateau, G., Eliscu, A., Tolentino, J., & Goniewicz, M. L.
- Venue
- Pediatrics
- Publisher
- American Academy of Pediatrics (AAP)
- Published
- 2019-04-22
- Volume
- 143
- Issue
- 5
- Pages
- e20183531
- ISSN
- 0031-4005
- 1098-4275
- Cited by
- 79
- References
- 40
- Language
- en
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