E-cigarette Product Characteristics and Subsequent Frequency of Cigarette Smoking.


Journal

Pediatrics
ISSN: 1098-4275
Titre abrégé: Pediatrics
Pays: United States
ID NLM: 0376422

Informations de publication

Date de publication:
05 2020
Historique:
accepted: 19 02 2020
pubmed: 8 4 2020
medline: 22 7 2020
entrez: 8 4 2020
Statut: ppublish

Résumé

There is a dearth of evidence regarding the association of use of electronic cigarettes (e-cigarettes) with certain product characteristics and adolescent and young adult risk of unhealthy tobacco use patterns (eg, frequency of combustible cigarette smoking), which is needed to inform the regulation of e-cigarettes. Data were collected via an online survey of participants in the Southern California Children's Health Study from 2015 to 2016 (baseline) and 2016 to 2017 (follow-up) ( Relative to never e-cigarette users, past-30-day e-cigarette use was associated with greater frequency of past-30-day cigarette smoking at follow-up. Among baseline past-30-day e-cigarette users, participants who used mods (versus vape pens) smoked >6 times as many cigarettes at follow-up (mean: 20.8 vs 1.3 cigarettes; rate ratio = 6.33; 95% confidence interval: 1.64-24.5) after adjustment for sociodemographic characteristics, baseline frequency of cigarette smoking, and number of days of e-cigarette use. After adjustment for device, neither nicotine e-liquid nor dripping were associated with frequency of cigarette smoking. Baseline mod users (versus vape pen users) smoked more cigarettes in the past 30 days at follow-up. Regulation of e-cigarette device type warrants consideration as a strategy to reduce cigarette smoking among adolescents and young adults who vape.

Sections du résumé

BACKGROUND
There is a dearth of evidence regarding the association of use of electronic cigarettes (e-cigarettes) with certain product characteristics and adolescent and young adult risk of unhealthy tobacco use patterns (eg, frequency of combustible cigarette smoking), which is needed to inform the regulation of e-cigarettes.
METHODS
Data were collected via an online survey of participants in the Southern California Children's Health Study from 2015 to 2016 (baseline) and 2016 to 2017 (follow-up) (
RESULTS
Relative to never e-cigarette users, past-30-day e-cigarette use was associated with greater frequency of past-30-day cigarette smoking at follow-up. Among baseline past-30-day e-cigarette users, participants who used mods (versus vape pens) smoked >6 times as many cigarettes at follow-up (mean: 20.8 vs 1.3 cigarettes; rate ratio = 6.33; 95% confidence interval: 1.64-24.5) after adjustment for sociodemographic characteristics, baseline frequency of cigarette smoking, and number of days of e-cigarette use. After adjustment for device, neither nicotine e-liquid nor dripping were associated with frequency of cigarette smoking.
CONCLUSIONS
Baseline mod users (versus vape pen users) smoked more cigarettes in the past 30 days at follow-up. Regulation of e-cigarette device type warrants consideration as a strategy to reduce cigarette smoking among adolescents and young adults who vape.

Identifiants

pubmed: 32253264
pii: peds.2019-1652
doi: 10.1542/peds.2019-1652
pmc: PMC7193941
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIDA NIH HHS
ID : K01 DA042950
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA180905
Pays : United States
Organisme : NCI NIH HHS
ID : U54 CA180905
Pays : United States

Informations de copyright

Copyright © 2020 by the American Academy of Pediatrics.

Déclaration de conflit d'intérêts

POTENTIAL CONFLICT OF INTEREST: Mr Urman began a position at Amgen on April 15, 2019, and did not contribute to the article after that date; the other authors have indicated they have no potential conflicts of interest to disclose.

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Auteurs

Jessica L Barrington-Trimis (JL)

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and jtrimis@usc.edu.

Zhi Yang (Z)

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and.

Sara Schiff (S)

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and.

Jennifer Unger (J)

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and.

Tess Boley Cruz (TB)

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and.

Robert Urman (R)

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and.

Junhan Cho (J)

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and jtrimis@usc.edu.

Jonathan M Samet (JM)

Colorado School of Public Health, University of Colorado, Aurora, Colorado.

Adam M Leventhal (AM)

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and.

Kiros Berhane (K)

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and.

Rob McConnell (R)

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and.

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Classifications MeSH