The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Associations of Electronic Cigarette Nicotine Concentration With Subsequent Cigarette Smoking and Vaping Levels in Adolescents
Open accessAbstract
Importance: Research indicates that electronic cigarette (e-cigarette) use (vaping) among adolescents is associated with the initiation and progression of combustible cigarette smoking. The reasons for this association are unknown. Objective: To evaluate whether use of e-cigarettes with higher nicotine concentrations is associated with subsequent increases in the frequency and intensity of combustible cigarette smoking and vaping. Design, Setting, and Participants: In this prospective cohort study involving students from 10 high schools in the Los Angeles, California, metropolitan area, surveys were administered during 10th grade in the spring (baseline) and 11th grade in the fall (6-month follow-up) of 2015 to students who reported using e-cigarettes within the past 30 days and the nicotine concentration level they used at baseline. Exposures: Self-report of baseline e-cigarette nicotine concentration of none (0 mg/mL), low (1-5 mg/mL), medium (6-17 mg/mL), or high (≥18 mg/mL) typically used during the past 30 days. Main Outcomes and Measures: Frequency of combustible cigarette smoking and e-cigarette use within the past 30 days (0 days [none], 1-2 days [infrequent], or ≥3 days [frequent]) and daily intensity of smoking and vaping (number of cigarettes smoked per day, number of vaping episodes per day, and number of puffs per vaping episode) at the 6-month follow-up. Results: The analytic sample included 181 students (96 boys [53.0%] and 85 girls [47.0%]; mean [SD] age, 16.1 [0.4] years). Each successive increase in nicotine concentration (none to low, low to medium, and medium to high) vaped was associated with a 2.26 (95% CI, 1.28-3.98) increase in the odds of frequent (vs no) smoking and a 1.65 (95% CI, 1.09-2.51) increase in the odds of frequent (vs no) vaping at follow-up after adjustment for baseline frequency of smoking and vaping and other relevant covariates. Use of e-cigarettes with high (vs no) nicotine concentration was associated with a greater number of cigarettes smoked per day at follow-up (adjusted rate ratio [RR], 7.03; 95% CI, 6.11-7.95). An association with a significantly greater number of vaping episodes per day was found with use of low (adjusted RR, 3.32; 95% CI, 2.61-4.03), medium (adjusted RR, 3.32; 95% CI, 2.54-4.10), and high (adjusted RR, 2.44; 95% CI, 1.63-3.24) nicotine concentrations (vs no nicotine) at baseline. Similar results were found for the number of puffs per vaping episode for low (adjusted RR, 2.05; 95% CI, 1.41-2.70), medium (adjusted RR, 3.39; 95% CI, 2.66-4.11), and high (adjusted RR, 2.23; 95% CI, 1.42-3.03) nicotine concentrations. Conclusions and Relevance: The results of this study provide preliminary evidence that use of e-cigarettes with higher nicotine concentrations by youths may increase subsequent frequency and intensity of smoking and vaping.
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“Moreover, more adolescents are inclined to transition from vaping to conventional cigarettes, reversing a two-decade-long decline [166–169].”
From Adolescent nicotine exposure and persistent neurocircuitry changes: unveiling lifelong psychiatric risks (2025) · cites this paper as [169]
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Citations
Cites
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
Whiteside, S. P., & Lynam, D. R. (2001) · Personality and Individual Differences · doi:10.1016/s0191-8869(00)00064-7 · Cited by 4,123
The Health Consequences of Smoking -- 50 Years of progress: A Report of the Surgeon General
General, U. S. S. (2014) · PsycEXTRA Dataset · doi:10.1037/e510072014-001 · Cited by 3,368
The use of the Center for Epidemiologic Studies Depression Scale in adolescents and young adults
Radloff, L. S. (1991) · Journal of Youth and Adolescence · doi:10.1007/bf01537606 · Cited by 1,997
Johnston, L. D., Miech, R. A., O'Malley, P. M., Bachman, J. G., Schulenberg, J. E., & Patrick, M. E. (2018) · doi:10.3998/2027.42/148123 · Cited by 1,199 · cited 1×
“1 Responses were collapsed into a 3-level variable for smoking and vaping frequency within the past 30 days consisting of (1) no use (0 days), (2) infrequent use (1-2 days), and (3) frequent use (≥3 days) as in previous research owing to lower frequency counts in categories of greater use (eFigures 1 and 2 in the Supp…”
MethodE-Cigarettes: A Scientific Review
Grana, R., Benowitz, N., & Glantz, S. A. (2014) · Circulation · doi:10.1161/circulationaha.114.007667 · Cited by 1,194
Leventhal, A. M., Strong, D. R., Kirkpatrick, M. G., Unger, J. B., Sussman, S., Riggs, N. R., Stone, M. D., Khoddam, R., Samet, J. M., & Audrain-McGovern, J. (2015) · JAMA · doi:10.1001/jama.2015.8950 · Cited by 913
Self-citationPsychosocial factors related to adolescent smoking: a critical review of the literature
Tyas, S. L., & Pederson, L. L. (1998) · Tobacco Control · doi:10.1136/tc.7.4.409 · Cited by 899
Johnston, L. D., Miech, R., O'Malley, P., Bachman, J., Schulenberg, J., & Patrick, M. E. (2015) · doi:10.3998/2027.42/150621 · Cited by 850
Kong, G., Morean, M. E., Cavallo, D. A., Camenga, D. R., & Krishnan‐Sarin, S. (2014) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntu257 · Cited by 640
Cited by
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Prevalence of Electronic Cigarette Dependence Among Youth and Its Association With Future Use
Vogel, E. A., Cho, J., McConnell, R., Barrington‐Trimis, J. L., & Leventhal, A. M. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.21513 · Cited by 176
Self-citationFlavored E-cigarette use and progression of vaping in adolescents
Leventhal, A. M., Goldenson, N. I., Cho, J., Kirkpatrick, M. G., McConnell, R. S., Stone, M. D., Pang, R. D., Audrain-McGovern, J., & Barrington-Trimis, J. L. (2019) · Pediatrics · doi:10.1542/peds.2019-0789 · Cited by 142
Self-citationAdolescent Substance Use and the Brain: Behavioral, Cognitive and Neuroimaging Correlates
Hamidullah, S., Thorpe, H. H. A., Frie, J. A., McCurdy, R. D., & Khokhar, J. Y. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00298 · Cited by 162
Ferkol, T. W., Farber, H. J., Grutta, S. L., Leone, F. T., Marshall, H., Neptune, E., Pisinger, C. H., Vanker, A., Wisotzky, M., Zabert, G. E., et al. (2018) · European Respiratory Journal · doi:10.1183/13993003.00278-2018 · Cited by 141
A review of toxic effects of electronic cigarettes/vaping in adolescents and young adults
Overbeek, D. L., Kass, A. P., Chiel, L. E., Boyer, E. W., & Casey, A. M. H. (2020) · Critical Reviews in Toxicology · doi:10.1080/10408444.2020.1794443 · Cited by 132
Metadata
- Authors
- Goldenson, N. I., Leventhal, A. M., Stone, M. D., McConnell, R. S., & Barrington-Trimis, J. L.
- Affiliations
- University of Southern California (US)
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles
- Corresponding author
- Leventhal, Adam M.
- Venue
- JAMA Pediatrics
- Publisher
- American Medical Association (AMA)
- Published
- 2017-12-01
- Volume
- 171
- Issue
- 12
- Pages
- 1192
- ISSN
- 1072-4710 (ISSN-L)
- 2168-6203
- PMC
- PMC5779618
- OpenAlex
- W2765098017
- Cited by
- 179
- References
- 41
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 14 · 2023: 13 · 2022: 19 · 2021: 28 · 2020: 49 · 2019: 23 · 2018: 16
- FWCI
- 17.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Archives of Pediatrics and Adolescent Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Drug Abuse (R01DA033296)
- National Cancer Institute (P50CA180905)
- National Institute of Environmental Health Sciences (P30ES007048)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- electronic cigarettes, adolescent smoking, combustible cigarette smoking, vaping, smoking initiation, smoking progression, nicotine dependence, adolescent substance use, high school students, smoking intensity, dual use of tobacco products, tobacco control, school-based prevention, Los Angeles, California, United States
- MeSH terms
- Adolescent, Adolescent Behavior, Female, Humans, Longitudinal Studies, Male, Nicotine, Risk Factors, Smoking, Los Angeles, Self Report, Tobacco Products, Electronic Nicotine Delivery Systems
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