دورية أكاديمية
Latent Class Analysis of E-cigarette Use Sessions in Their Natural Environments.
| العنوان: | Latent Class Analysis of E-cigarette Use Sessions in Their Natural Environments. |
|---|---|
| المؤلفون: | Lee YO; RTI International, Research Triangle Park, NC., Morgan-Lopez AA; RTI International, Research Triangle Park, NC., Nonnemaker JM; RTI International, Research Triangle Park, NC., Pepper JK; RTI International, Research Triangle Park, NC., Hensel EC; Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY., Robinson RJ; Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY. |
| المصدر: | Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco [Nicotine Tob Res] 2019 Sep 19; Vol. 21 (10), pp. 1408-1413. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9815751 Publication Model: Print Cited Medium: Internet ISSN: 1469-994X (Electronic) Linking ISSN: 14622203 NLM ISO Abbreviation: Nicotine Tob Res Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: <2009->: Oxford : Oxford University Press Original Publication: Abingdon, Oxfordshire, UK : Carfax Pub. and Society for Research on Nicotine and Tobacco, c1999- |
| مواضيع طبية MeSH: | Electronic Nicotine Delivery Systems*, Vaping/*epidemiology, Data Collection ; Humans ; Latent Class Analysis ; Monitoring, Physiologic/methods |
| مستخلص: | Background: Delivery of nicotine and substances from electronic nicotine delivery systems, or e-cigarettes, depends in part on how users puff on the devices. Little is known about variation in puffing behavior to inform testing protocols or understand whether puffing behaviors result in increased exposure to emissions. Methods: We analyzed puff topography data collected using a wireless portable use monitor (wPUM) continuously over 2 weeks among 34 current second-generation e-cigarette users in their everyday lives. For each puff, the wPUM recorded date, time, duration, volume, flow rate, and inter-puff interval. Results: We defined use session and classes at the session level using multilevel latent profile analysis, resulting in two session classes and three person types. Session class 1 ("light") was characterized by 14.7 puffs per session (PPS), low puff volume (59.9 ml), flow rate (28.7 ml/s), and puff duration (202.7 s × 100). Session class 2 ("heavy") was characterized by 16.7 PPS with a high puff volume (290.9 ml), flow rate (71.5 ml/s), and puff duration (441.1 s × 100). Person class 1 had almost exclusively "light" sessions (98.0%), whereas person class 2 had a majority of "heavy" sessions (60.7%) and person class 3 had a majority of "light" sessions (75.3%) but some "heavy" sessions (24.7%). Conclusion: Results suggest there are different session topography patterns among e-cigarette users. Further assessment is needed to determine whether some users have increased exposure to constituents and/or health risks because of e-cigarettes. Implications: Our study examines topography characteristics in a users' natural setting to identify two classes of e-cigarette session behavior and three classes of users. These results suggest that it is important for studies on the health effects of e-cigarettes to take variation in user topography into account. It is crucial to accurately understand the topography profiles of session and user types to determine whether some users are at greater exposure to harmful or potentially harmful constituents and risks from e-cigarettes as they are used by consumers. (© The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.) |
| تواريخ الأحداث: | Date Created: 20180815 Date Completed: 20200508 Latest Revision: 20200508 |
| رمز التحديث: | 20221213 |
| DOI: | 10.1093/ntr/nty164 |
| PMID: | 30107462 |
| قاعدة البيانات: | MEDLINE |
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