Erin A Vogel1, Junhan Cho2, Rob S McConnell2, Jessica L Barrington-Trimis2, Adam M Leventhal2,3. 1. Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California. 2. Keck School of Medicine, Department of Preventive Medicine, University of Southern California, Los Angeles. 3. Department of Psychology, University of Southern California, Los Angeles.
Abstract
Importance: Understanding the prevalence and symptoms of electronic cigarette (e-cigarette) dependence and its association with future e-cigarette use among youth may help to guide pediatric clinical services and health policy. Objectives: To examine the cross-sectional prevalence and symptom presentation of e-cigarette dependence and to determine whether e-cigarette dependence is associated with subsequent e-cigarette use patterns 6 months later among youth with baseline past-year e-cigarette use. Design, Setting, and Participants: This prospective cohort study used baseline and 6-month follow-up surveys among students in the 12th grade during the 2016 to 2017 school year who reported any past-year e-cigarette use. Surveys were conducted on site in 10 high schools in Los Angeles, California. Data were analyzed from March 2019 to December 2019. Main Outcomes and Measures: Self-reported checklist of 10 tobacco product dependence symptoms reflecting loss of control over use, craving or urge, or withdrawal symptoms while abstinent, completed at baseline and administered separately for e-cigarettes and combustible cigarettes. Reporting 1 or more symptoms indicated a positive screen for dependence. Vaping continuation, defined as any past 6-month vaping, and past 30-day nicotine vaping days (range, 0-30), sessions per vaping day (range, 0-20), and puffs per session (range, 0-20) at 6-month follow-up were assessed. Results: Among 3168 twelfth-grade students who completed the baseline survey, 444 youths (mean [SD] age, 17.48 [0.39] years; 217 [48.9%] female) reported past-year e-cigarette use. Among these, 52 youths (11.7%) reported at least 1 e-cigarette dependence symptom. Among youth who reported past-year dual e-cigarette and combustible cigarette use, combustible cigarette dependence, reported by 43 youths (29.7%), was more prevalent than e-cigarette dependence, which was reported by 24 youths (16.4%). The most common symptoms, craving, urge, and need to use, and least common symptoms, abstinence-related concentration and emotional problems, were similar in both combustible and e-cigarette dependence. The prevalence of e-cigarette dependence was higher among youth who reported vaping in the past month than among those who did not (41 youths [17.6%] vs 11 youths [5.2%]; P < .001) and among youth who used e-cigarettes with nicotine than among those who used e-cigarettes without nicotine (42 youths [15.2%] vs 10 youths [6.0%]; P = .004). After adjusting for baseline vaping and e-cigarette dependence risk propensity scores, baseline e-cigarette dependence symptom status was associated with vaping continuation (adjusted odds ratio, 2.30 [95% CI, 1.07-4.94]; P = .02) and past 30-day number of nicotine vaping days (adjusted rate ratio, 2.17 [95% CI, 1.44-3.28]; P < .001), vaping sessions per day (adjusted rate ratio, 2.41 [95% CI, 1.52-3.83]; P < .001), and puffs per session (adjusted rate ratio, 1.70 [95% CI, 1.09-2.66]; P = .02) at 6-month follow-up. Conclusions and Relevance: These findings suggest that e-cigarette dependence may be an expression of tobacco use disorder associated with future use persistence and escalation among youth. Electronic cigarette dependence may be a behavioral health consequence of adolescent vaping that warrants consideration in pediatric patient care and public health policy.
Importance: Understanding the prevalence and symptoms of electronic cigarette (e-cigarette) dependence and its association with future e-cigarette use among youth may help to guide pediatric clinical services and health policy. Objectives: To examine the cross-sectional prevalence and symptom presentation of e-cigarette dependence and to determine whether e-cigarette dependence is associated with subsequent e-cigarette use patterns 6 months later among youth with baseline past-year e-cigarette use. Design, Setting, and Participants: This prospective cohort study used baseline and 6-month follow-up surveys among students in the 12th grade during the 2016 to 2017 school year who reported any past-year e-cigarette use. Surveys were conducted on site in 10 high schools in Los Angeles, California. Data were analyzed from March 2019 to December 2019. Main Outcomes and Measures: Self-reported checklist of 10 tobacco product dependence symptoms reflecting loss of control over use, craving or urge, or withdrawal symptoms while abstinent, completed at baseline and administered separately for e-cigarettes and combustible cigarettes. Reporting 1 or more symptoms indicated a positive screen for dependence. Vaping continuation, defined as any past 6-month vaping, and past 30-day nicotine vaping days (range, 0-30), sessions per vaping day (range, 0-20), and puffs per session (range, 0-20) at 6-month follow-up were assessed. Results: Among 3168 twelfth-grade students who completed the baseline survey, 444 youths (mean [SD] age, 17.48 [0.39] years; 217 [48.9%] female) reported past-year e-cigarette use. Among these, 52 youths (11.7%) reported at least 1 e-cigarette dependence symptom. Among youth who reported past-year dual e-cigarette and combustible cigarette use, combustible cigarette dependence, reported by 43 youths (29.7%), was more prevalent than e-cigarette dependence, which was reported by 24 youths (16.4%). The most common symptoms, craving, urge, and need to use, and least common symptoms, abstinence-related concentration and emotional problems, were similar in both combustible and e-cigarette dependence. The prevalence of e-cigarette dependence was higher among youth who reported vaping in the past month than among those who did not (41 youths [17.6%] vs 11 youths [5.2%]; P < .001) and among youth who used e-cigarettes with nicotine than among those who used e-cigarettes without nicotine (42 youths [15.2%] vs 10 youths [6.0%]; P = .004). After adjusting for baseline vaping and e-cigarette dependence risk propensity scores, baseline e-cigarette dependence symptom status was associated with vaping continuation (adjusted odds ratio, 2.30 [95% CI, 1.07-4.94]; P = .02) and past 30-day number of nicotine vaping days (adjusted rate ratio, 2.17 [95% CI, 1.44-3.28]; P < .001), vaping sessions per day (adjusted rate ratio, 2.41 [95% CI, 1.52-3.83]; P < .001), and puffs per session (adjusted rate ratio, 1.70 [95% CI, 1.09-2.66]; P = .02) at 6-month follow-up. Conclusions and Relevance: These findings suggest that e-cigarette dependence may be an expression of tobacco use disorder associated with future use persistence and escalation among youth. Electronic cigarette dependence may be a behavioral health consequence of adolescent vaping that warrants consideration in pediatric patient care and public health policy.
Authors: Kathleen R Case; Dale S Mantey; MeLisa R Creamer; Melissa B Harrell; Steven H Kelder; Cheryl L Perry Journal: Addict Behav Date: 2018-03-30 Impact factor: 3.913
Authors: Erin A Vogel; Judith J Prochaska; Danielle E Ramo; Jerome Andres; Mark L Rubinstein Journal: J Adolesc Health Date: 2019-06 Impact factor: 5.012
Authors: Nicholas I Goldenson; Adam M Leventhal; Matthew D Stone; Rob S McConnell; Jessica L Barrington-Trimis Journal: JAMA Pediatr Date: 2017-12-01 Impact factor: 16.193
Authors: Michael B Steinberg; Mia Hanos Zimmermann; Cristine D Delnevo; M Jane Lewis; Parth Shukla; Elliot J Coups; Jonathan Foulds Journal: J Gen Intern Med Date: 2014-05-15 Impact factor: 5.128
Authors: Joseph R DiFranza; Judith A Savageau; Kenneth Fletcher; Jennifer O'Loughlin; Lori Pbert; Judith K Ockene; Ann D McNeill; Jennifer Hazelton; Karen Friedman; Gretchen Dussault; Connie Wood; Robert J Wellman Journal: Arch Pediatr Adolesc Med Date: 2007-07
Authors: Afton Kechter; Junhan Cho; Richard A Miech; Jessica L Barrington-Trimis; Adam M Leventhal Journal: Drug Alcohol Depend Date: 2021-08-04 Impact factor: 4.852
Authors: James D Sargent; Mike Stoolmiller; Hongying Dai; Jessica L Barrington-Trimis; Rob McConnell; Janet Audrain-McGovern; Adam M Leventhal Journal: Nicotine Tob Res Date: 2022-02-14 Impact factor: 5.825
Authors: Adam M Leventhal; Hongying Dai; Jessica L Barrington-Trimis; Alayna P Tackett; Eric R Pedersen; Denise D Tran Journal: Nicotine Tob Res Date: 2022-02-14 Impact factor: 5.825