The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Biochemical validation of self-reported electronic nicotine delivery system and tobacco heaviness of use.
Abstract
= 30) who currently use ENDS and other tobacco products completed a detailed tobacco use history, timeline follow-back, and an ENDS topography session. We evaluated the self-reports of own-brand ENDS use and tested correlations to determine which self-report measures of own-brand use, and which self-reported measures of puff topography, had the strongest correlations with urine and/or blood biomarkers of nicotine use. Participants reported using a variety of different ENDS devices and had a range of usage. The sum of the self-reported number of occasions or hours of ENDS use, along with the number of cigarettes and other tobacco products used, over the past 24 hr was significantly correlated with plasma cotinine levels. Puff topography measures correlated with increased nicotine concentrations, although participants underestimated the number of puffs they took during the topography session. This study provides preliminary evidence that summing together the hours of ENDS use, or the number of occasions of ENDS use, in addition to the number of other tobacco products used (i.e., cigarettes) based on self-report may be an accurate method of quantification. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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].”
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Cites
The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire
HEATHERTON, T. F., KOZLOWSKI, L. T., FRECKER, R. C., & FAGERSTROM, K. (1991) · British Journal of Addiction · doi:10.1111/j.1360-0443.1991.tb01879.x · Cited by 10,738
Metabolism and Disposition Kinetics of Nicotine
Hukkanen, J., Jacob, P., & Benowitz, N. L. (2005) · Pharmacological Reviews · doi:10.1124/pr.57.1.3 · Cited by 1,321
e-Cigarette Use Among Youth in the United States, 2019
Cullen, K. A., Gentzke, A. S., Sawdey, M. D., Chang, J. T., Anic, G. M., Wang, T. W., Creamer, M. R., Jamal, A., Ambrose, B. K., & King, B. A. (2019) · JAMA · doi:10.1001/jama.2019.18387 · Cited by 801
Hackshaw, A., Morris, J. K., Boniface, S., Tang, J.-L., & Milenković, D. (2018) · BMJ · doi:10.1136/bmj.j5855 · Cited by 645
Metabolism of nicotine to cotinine studied by a dual stable isotope method
Benowitz, N. L., & Jacob, P. (1994) · Clinical Pharmacology and Therapeutics · doi:10.1038/clpt.1994.169 · Cited by 508
Cotinine disposition and effects
Benowitz, N. L., Kuyt, F., Jacob, P., Jones, R. T., & Osman, A.-L. (1983) · Clinical Pharmacology and Therapeutics · doi:10.1038/clpt.1983.222 · Cited by 484
Nicotine metabolite ratio as an index of cytochrome P450 2A6 metabolic activity*1
DEMPSEY, D. (2004) · Clinical Pharmacology & Therapeutics · doi:10.1016/j.clpt.2004.02.011 · Cited by 429
Electronic cigarettes: what are they and what do they do?
Breland, A., Soule, E., Lopez, A., Ramôa, C., El‐Hellani, A., & Eissenberg, T. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12977 · Cited by 341
A Randomized Placebo-Controlled Clinical Trial of 5 Smoking Cessation Pharmacotherapies
Piper, M. E., Smith, S. S., Schlam, T. R., Fiore, M. C., Jorenby, D. E., Fraser, D. L., & Baker, T. B. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.142 · Cited by 246
Jacob, P., Yu, L., Wilson, M., & Benowitz, N. L. (1991) · Journal of Mass Spectrometry · doi:10.1002/bms.1200200503 · Cited by 234
Research works printed but not linked: 1
- Zhuikova E, Durrant P, Macauley E, Goss H, Goldsmith N, Ioannides C, Marczylo T & Bailey A (2019). Monitoring the transition from cigarette smoking to electronic cigarette use: Nicotine intake, psychometric, and clinical outcomes. British Journal of Clinical Pharmacology 85: 1627– 1628.
Cited by
Ammar, L., Tindle, H. A., Miller, A. M., Adgent, M. A., Nian, H., Ryckman, K. K., Mogos, M., Piano, M. R., Xie, E., Snyder, B. M., et al. (2023) · PLOS ONE · doi:10.1371/journal.pone.0287348 · Cited by 26
Metadata
- Authors
- Addicott, M. A., Sutfin, E. L., Reynolds, L. M., Donny, E. C., Matich, E. K., & Hsu, P.-C.
- Venue
- Experimental and Clinical Psychopharmacology
- Published
- 2023-06
- Volume
- 31
- Issue
- 3
- Pages
- 715-723
- ISSN
- 1936-2293
- 1064-1297
- PMC
- PMC10184506
- Cited by
- 10
- References
- 39
- Language
- en
- Funders
- University of Arkansas for Medical Sciences
- National Institutes of Health (P30 DA012393)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
