Marketing, availability, and use of electronic nicotine delivery systems (e-cigarettes) are growing at an exponential rate, particularly among young adults. E-cigarettes may be a form of harm reduction for cigarette smokers, potentially helping to reduce the largest preventable cause of death in the United States. It is critical that we understand as much as possible about why cigarette smokers do or do not choose to use e-cigarettes. Additionally, e-cigarettes are a new entryway into nicotine use for non-smokers. E-cigarettes often contain addictive and toxic chemicals and could potentially renormalize cigarette smoking. It is imperative we understand what is driving usage or lack of usage among young adults including both smokers and non- smokers. Drug outcomes expectancies, i.e., beliefs about the results of drug use, are a key tool in predicting substance use initiation. Drug expectancies can be understood as information structures in long-term memory that organize input to the central nervous system and guide management of behavior, acting as a final common pathway implicated in connections between prior conditions and drug use decisions. Before substance use, drug expectancies develop from observation via family members, peers, and the media. After use initiation and during continued use, expectancies tend to become stronger, more associated with other elements in long-term memory, more specific, and more positive. Drug expectancies have been found to be robust predictors of substance use initiation. We propose using a mixed-methods approach to develop an e-cigarette expectancy questionnaire. Test development will involve two phases. In the first formative phase, focus groups with young adults (N=80, stratified to include equal numbers of e-cigarette users, i.e., vapers, non-vapers, smokers, and non-smokers) and consultation with an expert panel will be used to develop an initial item bank. In the second phase, this initial item bank will be presented to a large sample of young adults (N=500). Item Response Theory will be utilized to determine the best functioning items and to create a shorter survey. This survey will be assessed for its convergent validity. The end result will be a well-informed, psychometrically valid assessment of e-cigarette expectancies. This outcome expectancy measure for e-cigarettes will facilitate future research and help guide development and evaluation of public health interventions, such as marketing regulations, labeling requirements, and development of counter-messaging.

Public Health Relevance

E-cigarettes may be a useful harm reduction technique for cigarette smokers, but for non-smokers, they are a new way to receive nicotine, a toxic and addictive substance that may promote tumor growth. For both groups, understanding why individuals use or do not use e-cigarettes is of critical importance, particularly for young adults The development of an e-cigarette expectancy measure will help understand drivers of use and thus provide aid in public health interventions.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Small Research Grants (R03)
Project #
1R03CA195124-01
Application #
8880601
Study Section
Special Emphasis Panel (ZCA1-TCRB-B (J1))
Program Officer
Mayne, Rachel G
Project Start
2015-09-18
Project End
2017-08-31
Budget Start
2015-09-18
Budget End
2016-08-31
Support Year
1
Fiscal Year
2015
Total Cost
$84,472
Indirect Cost
$26,812
Name
Eastern Virginia Medical School
Department
Pediatrics
Type
Schools of Medicine
DUNS #
058625146
City
Norfolk
State
VA
Country
United States
Zip Code
23501
Harrell, Paul Truman; Eissenberg, Thomas (2018) Automated dripping devices for vapers: RDTAs, bottomfeeders, squonk mods and dripboxes. Tob Control 27:480-482
Fowler, Christie D; Gipson, Cassandra D; Kleykamp, Bethea A et al. (2018) Basic Science and Public Policy: Informed Regulation for Nicotine and Tobacco Products. Nicotine Tob Res 20:789-799
Harrell, Paul T; Naqvi, Syeda Mahrukh H; Plunk, Andrew D et al. (2017) Patterns of youth tobacco and polytobacco usage: The shift to alternative tobacco products. Am J Drug Alcohol Abuse 43:694-702
Plunk, Andrew D; Agrawal, Arpana; Harrell, Paul T et al. (2016) The impact of adolescent exposure to medical marijuana laws on high school completion, college enrollment and college degree completion. Drug Alcohol Depend 168:320-327
Harrell, Paul T; Fu, Hongyun (2016) Commentary on Betts et al. (2016): Polysubstance use and opioid substitution therapy among people who inject drugs. Addiction 111:1224-5