Meghan E Morean1, Suchitra Krishnan-Sarin2, Stephanie S O'Malley3. 1. Oberlin College, Department of Psychology, 120 W. Lorain St., Oberlin, OH 44074, USA; Yale School of Medicine, Department of Psychiatry, CMHC, 34 Park Street, New Haven, CT 06519, USA. Electronic address: meghan.morean@oberlin.edu. 2. Yale School of Medicine, Department of Psychiatry, CMHC, 34 Park Street, New Haven, CT 06519, USA. Electronic address: suchitra.krishnan-sarin@yale.edu. 3. Yale School of Medicine, Department of Psychiatry, CMHC, 34 Park Street, New Haven, CT 06519, USA. Electronic address: stephanie.omalley@yale.edu.
Abstract
BACKGROUND: Adolescent e-cigarette use (i.e., "vaping") likely confers risk for developing nicotine dependence. However, there have been no studies assessing e-cigarette nicotine dependence in youth. We evaluated the psychometric properties of the 4-item Patient-Reported Outcomes Measurement Information System Nicotine Dependence Item Bank for E-cigarettes (PROMIS-E) for assessing youth e-cigarette nicotine dependence and examined risk factors for experiencing stronger dependence symptoms. METHODS: In 2017, 520 adolescent past-month e-cigarette users completed the PROMIS-E during a school-based survey (50.5% female, 84.8% White, 16.22[1.19] years old). Adolescents also reported on sex, grade, race, age at e-cigarette use onset, vaping frequency, nicotine e-liquid use, and past-month cigarette smoking. Analyses included conducting confirmatory factor analysis and examining the internal consistency of the PROMIS-E. Bivariate correlations and independent-samples t-tests were used to examine unadjusted relationships between e-cigarette nicotine dependence and the proposed risk factors. Regression models were run in which all potential risk factors were entered as simultaneous predictors of PROMIS-E scores. RESULTS: The single-factor structure of the PROMIS-E was confirmed and evidenced good internal consistency. Across models, larger PROMIS-E scores were associated with being in a higher grade, initiating e-cigarette use at an earlier age, vaping more frequently, using nicotine e-liquid (and higher nicotine concentrations), and smoking cigarettes. CONCLUSION: Adolescent e-cigarette users reported experiencing nicotine dependence, which was assessed using the psychometrically sound PROMIS-E. Experiencing stronger nicotine dependence symptoms was associated with characteristics that previously have been shown to confer risk for frequent vaping and tobacco cigarette dependence.
BACKGROUND: Adolescent e-cigarette use (i.e., "vaping") likely confers risk for developing nicotine dependence. However, there have been no studies assessing e-cigarette nicotine dependence in youth. We evaluated the psychometric properties of the 4-item Patient-Reported Outcomes Measurement Information System Nicotine Dependence Item Bank for E-cigarettes (PROMIS-E) for assessing youth e-cigarette nicotine dependence and examined risk factors for experiencing stronger dependence symptoms. METHODS: In 2017, 520 adolescent past-month e-cigarette users completed the PROMIS-E during a school-based survey (50.5% female, 84.8% White, 16.22[1.19] years old). Adolescents also reported on sex, grade, race, age at e-cigarette use onset, vaping frequency, nicotine e-liquid use, and past-month cigarette smoking. Analyses included conducting confirmatory factor analysis and examining the internal consistency of the PROMIS-E. Bivariate correlations and independent-samples t-tests were used to examine unadjusted relationships between e-cigarette nicotine dependence and the proposed risk factors. Regression models were run in which all potential risk factors were entered as simultaneous predictors of PROMIS-E scores. RESULTS: The single-factor structure of the PROMIS-E was confirmed and evidenced good internal consistency. Across models, larger PROMIS-E scores were associated with being in a higher grade, initiating e-cigarette use at an earlier age, vaping more frequently, using nicotine e-liquid (and higher nicotine concentrations), and smoking cigarettes. CONCLUSION: Adolescent e-cigarette users reported experiencing nicotine dependence, which was assessed using the psychometrically sound PROMIS-E. Experiencing stronger nicotine dependence symptoms was associated with characteristics that previously have been shown to confer risk for frequent vaping and tobacco cigarette dependence.
Authors: Grace Kong; Meghan E Morean; Dana A Cavallo; Deepa R Camenga; Suchitra Krishnan-Sarin Journal: Nicotine Tob Res Date: 2014-12-06 Impact factor: 4.244
Authors: Suchitra Krishnan-Sarin; Meghan E Morean; Deepa R Camenga; Dana A Cavallo; Grace Kong Journal: Nicotine Tob Res Date: 2014-11-09 Impact factor: 4.244
Authors: Benjamin J Apelberg; Catherine G Corey; Allison C Hoffman; Megan J Schroeder; Corinne G Husten; Ralph S Caraballo; Cathy L Backinger Journal: Am J Prev Med Date: 2014-08 Impact factor: 5.043
Authors: Meghan E Morean; Grace Kong; Dana A Cavallo; Deepa R Camenga; Suchitra Krishnan-Sarin Journal: Drug Alcohol Depend Date: 2016-08-24 Impact factor: 4.492
Authors: Thomas A Wills; Rebecca Knight; James D Sargent; Frederick X Gibbons; Ian Pagano; Rebecca J Williams Journal: Tob Control Date: 2016-01-25 Impact factor: 7.552
Authors: J R DiFranza; J A Savageau; N A Rigotti; K Fletcher; J K Ockene; A D McNeill; M Coleman; C Wood Journal: Tob Control Date: 2002-09 Impact factor: 7.552
Authors: Asti Jackson; Grace Kong; Ran Wu; Meghan E Morean; Danielle R Davis; Deepa R Camenga; Dana A Cavallo; Krysten W Bold; Patricia Simon; Suchitra Krishnan-Sarin Journal: Addict Behav Date: 2020-06-21 Impact factor: 3.913
Authors: Meghan E Morean; Suchitra Krishnan-Sarin; Steve Sussman; Jonathan Foulds; Howard Fishbein; Rachel Grana; Bonnie Halpern-Felsher; Hyoshin Kim; Scott R Weaver; Stephanie S O'Malley Journal: Addict Behav Date: 2018-08-31 Impact factor: 3.913
Authors: Meghan E Morean; Krysten W Bold; Grace Kong; Ralitza Gueorguieva; Deepa R Camenga; Patricia Simon; Asti Jackson; Dana A Cavallo; Suchitra Krishnan-Sarin Journal: Drug Alcohol Depend Date: 2019-08-24 Impact factor: 4.492
Authors: Kathleen R Case; Josephine T Hinds; MeLisa R Creamer; Alexandra Loukas; Cheryl L Perry Journal: J Adolesc Health Date: 2019-08-31 Impact factor: 5.012
Authors: Adam M Leventhal; Nicholas I Goldenson; Junhan Cho; Matthew G Kirkpatrick; Rob S McConnell; Matthew D Stone; Raina D Pang; Janet Audrain-McGovern; Jessica L Barrington-Trimis Journal: Pediatrics Date: 2019-11 Impact factor: 7.124
Authors: Andrew J Barnes; Rose S Bono; Alyssa K Rudy; Cosima Hoetger; Nicole E Nicksic; Caroline O Cobb Journal: Addiction Date: 2020-05-14 Impact factor: 6.526