Literature DB >> 34343322

Developing and Validating Measures of Absolute and Relative E-Cigarette Product Risk Perceptions: Single Items Can Be Surprisingly Comprehensive.

Erin Keely O'Brien1, Sabeeh A Baig1, Alexander Persoskie1.   

Abstract

INTRODUCTION: Tobacco risk perceptions are important predictors of behavior and are impacted by tobacco communications. Our systematic literature review (completed in 2018) found there were no measures of e-cigarette risk perceptions that were completely consistent with tobacco researcher recommendations (eg, specifying use frequency) and had demonstrated validity and reliability. The current study develops measures to assess specific risk perceptions, including absolute risks and risks compared with cigarettes, nicotine replacement therapy, and all nicotine cessation. METHODS AND
RESULTS: We generated a list of tobacco health effects based on our previous systematic review of tobacco risk perception measures. Based on health effects prioritized by regulatory science experts, we developed 63 items to assess seven types of e-cigarette risk perceptions: absolute health and addiction risks, health and addiction risks relative to cigarettes, pregnancy health risks relative to cigarettes, health risks relative to nicotine replacement therapy, and health risks relative to all nicotine cessation. We fielded these items in an online survey (N = 1642). Through reliability and validity analyses, we reduced this pool to 21 items, including many single-item measures. Supporting the measures' validity, each measure was negatively associated with current e-cigarette use, e-cigarette intentions, and skepticism about e-cigarette harms; and positively associated with perceiving e-cigarettes as equally or more harmful than cigarettes and intentions to quit e-cigarettes. DISCUSSION: This study developed and validated brief measures of several types of e-cigarette risk perceptions. Surprisingly, we found that for many types of risk perceptions, multi-item measures were redundant and these perceptions were well-represented by single-item measures. IMPLICATIONS: This study developed measures of seven types of e-cigarette health risk perceptions, including absolute health and addiction risk, and risk relative to cigarettes, nicotine replacement therapy, and cessation. We reduced 63 items to 21 to measure all of these constructs. These measures follow tobacco researcher recommendations, were developed using a rigorous measures development process, and demonstrated some aspects of reliability and validity. Because these measures are publicly available, they can be used by public health and industry researchers. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco 2021.

Entities:  

Mesh:

Year:  2022        PMID: 34343322      PMCID: PMC9013205          DOI: 10.1093/ntr/ntab156

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   5.825


  36 in total

1.  "Bulletproof skeptics in life's jungle": which self-exempting beliefs about smoking most predict lack of progression towards quitting?

Authors:  Wendy Oakes; Simon Chapman; Ron Borland; James Balmford; Lisa Trotter
Journal:  Prev Med       Date:  2004-10       Impact factor: 4.018

2.  Risk perception and smoking behavior in medically ill smokers: a prospective study.

Authors:  Belinda Borrelli; Rashelle B Hayes; Shira Dunsiger; Joseph L Fava
Journal:  Addiction       Date:  2010-03-22       Impact factor: 6.526

3.  Risk perception and communication unplugged: twenty years of process.

Authors:  B Fischhoff
Journal:  Risk Anal       Date:  1995-04       Impact factor: 4.000

Review 4.  Measuring Cigarette Smoking Risk Perceptions.

Authors:  Annette R Kaufman; Jenny E Twesten; Jerry Suls; Kevin D McCaul; Jamie S Ostroff; Rebecca A Ferrer; Noel T Brewer; Linda D Cameron; Bonnie Halpern-Felsher; Jennifer L Hay; Elyse R Park; Ellen Peters; David R Strong; Erika A Waters; Neil D Weinstein; Paul D Windschitl; William M P Klein
Journal:  Nicotine Tob Res       Date:  2020-10-29       Impact factor: 4.244

5.  Measuring youth beliefs about the harms of e-cigarettes and smokeless tobacco compared to cigarettes.

Authors:  Alexander Persoskie; Erin Keely O'Brien; Anh B Nguyen; Cindy Tworek
Journal:  Addict Behav       Date:  2017-01-26       Impact factor: 3.913

6.  Harm perceptions and tobacco use initiation among youth in Wave 1 and 2 of the Population Assessment of Tobacco and Health (PATH) Study.

Authors:  David R Strong; Eric Leas; Tara Elton-Marshall; Olivia A Wackowski; Mark Travers; Maansi Bansal-Travers; Andrew Hyland; Martha White; Madison Noble; K Michael Cummings; Kristie Taylor; Annette R Kaufman; Kelvin Choi; John P Pierce
Journal:  Prev Med       Date:  2019-03-13       Impact factor: 4.018

7.  Personality traits, perceived risk, and risk-reduction behaviors: a further study of smoking and radon.

Authors:  Sarah E Hampson; Judy A Andrews; Maureen Barckley; Edward Lichtenstein; Michael E Lee
Journal:  Health Psychol       Date:  2006-07       Impact factor: 4.267

Review 8.  How numeracy influences risk comprehension and medical decision making.

Authors:  Valerie F Reyna; Wendy L Nelson; Paul K Han; Nathan F Dieckmann
Journal:  Psychol Bull       Date:  2009-11       Impact factor: 17.737

9.  Design and methods of the Population Assessment of Tobacco and Health (PATH) Study.

Authors:  Andrew Hyland; Bridget K Ambrose; Kevin P Conway; Nicolette Borek; Elizabeth Lambert; Charles Carusi; Kristie Taylor; Scott Crosse; Geoffrey T Fong; K Michael Cummings; David Abrams; John P Pierce; James Sargent; Karen Messer; Maansi Bansal-Travers; Ray Niaura; Donna Vallone; David Hammond; Nahla Hilmi; Jonathan Kwan; Andrea Piesse; Graham Kalton; Sharon Lohr; Nick Pharris-Ciurej; Victoria Castleman; Victoria R Green; Greta Tessman; Annette Kaufman; Charles Lawrence; Dana M van Bemmel; Heather L Kimmel; Ben Blount; Ling Yang; Barbara O'Brien; Cindy Tworek; Derek Alberding; Lynn C Hull; Yu-Ching Cheng; David Maklan; Cathy L Backinger; Wilson M Compton
Journal:  Tob Control       Date:  2016-08-08       Impact factor: 7.552

10.  "Don't know" responses to risk perception measures: implications for underserved populations.

Authors:  Erika A Waters; Jennifer L Hay; Heather Orom; Marc T Kiviniemi; Bettina F Drake
Journal:  Med Decis Making       Date:  2013-02       Impact factor: 2.583

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