Adolescent E-Cigarette Expectancies: Measure Development and Preliminary Validity of the Electronic Nicotine Vaping Outcomes Measure for Youth

Author:

Harrell Paul T.12,England Kelli J.12,Barnett Tracey E.3,Simmons Vani N.45,Handel Richard W.2,Paulson Amy C.1

Affiliation:

1. Department of Pediatrics, Division of Community Health and Research, Eastern Virginia Medical School (EVMS), Norfolk, VA, USA

2. Department of Psychiatry and Behavioral Sciences, EVMS, Norfolk, VA, USA

3. Department of Biostatistics and Epidemiology, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, USA

4. Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA

5. Department of Psychology, University of South Florida, Tampa, FL, USA

Abstract

Background Electronic nicotine delivery systems (“e-cigarettes”) are the nicotine product most commonly used by adolescents. Research, treatment, and policy could benefit from measures of adolescent e-cigarette beliefs about outcomes of use (ie, expectancies). In the current study, we developed and tested an adolescent electronic nicotine vaping expectancy measure. Methods A focus group with adolescents evaluated potential e-cigarette expectancy items. A panel of national experts assisted in revision of these items. Finally, items were administered to a sample of adolescents 14-17 years old (N = 267, Mean age 15.6, SD = 1.1, 50.9% Female, 50.2% Non-Hispanic White, 22.5% Non-Hispanic Black, 14.2% Hispanic) in a large Southeastern metropolitan area in the United States. Results Exploratory Factor Analysis revealed a four factor solution: Negative Consequences (Cronbach’s α = .92); Positive Reinforcement (α = .83); Negative Affect Reduction (α = .95); and Weight Control (α = .89). Subscales were significantly correlated with vaping susceptibility and lifetime vaping. Subscales successfully differentiated susceptible adolescents from confirmed non-susceptible adolescents, with susceptible adolescents reporting more positive expectancies, eg, Positive Reinforcement, M = 5.0, SD = 2.0 vs M = 3.0, SD = 2.1, P < .001, η2 = 0.19, and less negative expectancies, M = 5.5, SD = 2.3 vs M = 6.5, SD = 2.6, P = .001, η2 = 0.04. Similar results were found comparing adolescents who have never vaped nicotine with those who have vaped nicotine. Hierarchical linear regression demonstrated subscales were significant predictors of lifetime vaping after controlling for demographics, vaping ad exposure, and peer/family vaping. Conclusions A preliminary version of an adolescent expectancy measure appears reliable and valid based on expert input and pilot testing with adolescents. Promising results were found in the domains of concurrent validity, discriminant validity, and incremental validity. Future research and evaluation efforts will be able to use this tool to further prevention and treatment goals.

Funder

National Cancer Institute

Virginia Foundation for Healthy Youth

Publisher

SAGE Publications

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