The Association between Potential Exposure to Magazine Ads with Voluntary Health Warnings and the Perceived Harmfulness of Electronic Nicotine Delivery Systems (ENDS)
Abstract
:1. Introduction
2. Materials and Methods
2.1. Kantar Media and the Trinkets and Trash Surveillance System
2.2. Tobacco Products and Risk Perceptions Survey (TPRPS)
2.3. Constructs
2.3.1. Harm Perception Outcome
2.3.2. Potential Exposure to ENDS Magazine Ads with Warnings
2.3.3. Other Covariates
2.4. Analysis
3. Results
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
Appendix A
Variables | All Respondents (N = 5629) | Smokers (N = 1322) | Nonsmokers (N = 4307) | ||||||
---|---|---|---|---|---|---|---|---|---|
ENDS < Cigs. | ENDS ≥ Cigs. | Don’t Know | ENDS < Cigs. | ENDS ≥ Cigs. | Don’t Know | ENDS < Cigs. | ENDS ≥ Cigs. | Don’t Know | |
Seen any ENDS ads | 0.27 *** (0.04) | 0.01 (0.04) | −0.32 *** (0.04) | 0.34 ** (0.11) | 0.01 (0.012) | −0.35 ** (0.11) | 0.26 *** (0.04) | 0.01 (0.05) | −0.32 *** (0.05) |
Potential exposure to magazine ads with warnings (state-level) | 0.095 + (0.050) | −0.098 + (0.060) | −0.01 (0.05) | −0.03 (0.10) | 0.09 (0.10) | −0.05 (0.10) | 0.12 * (0.06) | −0.14 * (0.07) | 0.004 (0.061) |
Current smokers | −0.07 (0.06) | −0.03 (0.07) | 0.10 (0.06) | -- | -- | -- | -- | -- | -- |
Ever used ENDS | 0.60 *** (0.07) | −0.26 *** (0.08) | −0.35 *** (0.08) | 0.63 *** (0.11) | −0.09 (0.11) | −0.45*** (0.09) | 0.59 *** (0.095) | −0.43 *** (0.12) | −0.21 + (0.11) |
References
- Hammond, D. Health warning messages on tobacco products: A review. Tob. Control 2011, 20, 327–337. [Google Scholar] [CrossRef] [PubMed]
- Noar, S.M.; Francis, D.B.; Bridges, C.; Sontag, J.M.; Ribisl, K.M.; Brewer, N.T. The impact of strengthening cigarette pack warnings: Systematic review of longitudinal observational studies. Soc. Sci. Med. 2016, 164, 118–129. [Google Scholar] [CrossRef] [PubMed]
- Levy, D.T.; Cummings, K.M.; Villanti, A.C.; Niaura, R.; Abrams, D.B.; Fong, G.T.; Borland, R. A framework for evaluating the public health impact of e-cigarettes and other vaporized nicotine products. Addiction 2017, 112, 8–17. [Google Scholar] [CrossRef] [PubMed]
- McNeill, A.; Brose, L.S.; Calder, R.; Hitchman, S.C.; Hajek, P.; McRobbie, H. E-Cigarettes: An Evidence Update; A Report Commissioned by Public Health England; Public Health England: London, UK, 2015. [Google Scholar]
- Glasser, A.M.; Collins, L.; Pearson, J.L.; Abudayyeh, H.; Niaura, R.S.; Abrams, D.B.; Villanti, A.C. Overview of Electronic Nicotine Delivery Systems: A Systematic Review. Am. J. Prev. Med. 2017, 52, e33–e66. [Google Scholar] [CrossRef] [PubMed]
- Food and Drug Administration, HHS. Deeming Tobacco Products to Be Subject to the Federal Food, Drug, and Cosmetic Act, as Amended by the Family Smoking Prevention and Tobacco Control Act; Restrictions on the Sale and Distribution of Tobacco Products and Required Warning Statements for Tobacco Products. Final rule. Fed. Regist. 2016, 81, 28973–29106. [Google Scholar]
- Shang, C.; Chaloupka, F.J. The Trend of Voluntary Warnings in Electronic Nicotine Delivery System Magazine Advertisements. Int. J. Environ. Res. Public Health 2017, 14, 62. [Google Scholar] [CrossRef] [PubMed]
- Fagan, P.; Pokhrel, P.; Herzog, T.A.; Guy, M.C.; Sakuma, K.L.; Trinidad, D.R.; Cassel, K.; Jorgensen, D.; Lynch, T.; Felicitas-Perkins, J.Q.; et al. Warning Statements and Safety Practices among Manufacturers and Distributors of Electronic Cigarette Liquids in the United States. Nicotine Tob. Res. 2017. [Google Scholar] [CrossRef] [PubMed]
- Nikitin, D.; Timberlake, D.S.; Williams, R.S. Is the E-Liquid Industry Regulating Itself? A Look at E-Liquid Internet Vendors in the United States. Nicotine Tob. Res. 2016, 18, 1967–1972. [Google Scholar] [CrossRef] [PubMed]
- Mackey, T.K.; Miner, A.; Cuomo, R.E. Exploring the e-cigarette e-commerce marketplace: Identifying Internet e-cigarette marketing characteristics and regulatory gaps. Drug Alcohol Depend. 2015, 156, 97–103. [Google Scholar] [CrossRef] [PubMed]
- Kong, A.Y.; Derrick, J.C.; Abrantes, A.S.; Williams, R.S. What is included with your online e-cigarette order? An analysis of e-cigarette shipping, product and packaging features. Tob. Control 2016. [Google Scholar] [CrossRef] [PubMed]
- Wackowski, O.A.; Hammond, D.; O’Connor, R.J.; Strasser, A.A.; Delnevo, C.D. Smokers’ and E-Cigarette Users’ Perceptions about E-Cigarette Warning Statements. Int. J. Environ. Res. Public Health 2016, 13, 655. [Google Scholar] [CrossRef] [PubMed]
- Wackowski, O.A.; Hammond, D.; O’Connor, R.J.; Strasser, A.A.; Delnevo, C.D. Considerations and Future Research Directions for E-Cigarette Warnings-Findings from Expert Interviews. Int. J. Environ. Res. Public Health 2017, 14, 781. [Google Scholar] [CrossRef] [PubMed]
- Barnes, A.J.; Bono, R.S.; Lester, R.C.; Eissenberg, T.E.; Cobb, C.O. Effect of Flavors and Modified Risk Messages on E-cigarette Abuse Liability. Tob. Regul. Sci. 2017, 3, 374–387. [Google Scholar] [CrossRef] [PubMed]
- Wackowski, O.A.; O’Connor, R.J.; Strasser, A.A.; Hammond, D.; Villanti, A.C.; Delnevo, C.D. Smokers’ and e-cigarette users’ perceptions of modified risk warnings for e-cigarettes. Prev. Med. Rep. 2016, 4, 309–312. [Google Scholar] [CrossRef] [PubMed]
- Katz, S.J.; Lindgren, B.; Hatsukami, D. E-cigarettes Warning Labels and Modified Risk Statements: Tests of Messages to Reduce Recreational Use. Tob. Regul. Sci. 2017, 3, 445–458. [Google Scholar] [CrossRef]
- Shang, C.; Huang, J.; Chaloupka, F.J.; Emery, S.L. The impact of flavour, device type and warning messages on youth preferences for electronic nicotine delivery systems: Evidence from an online discrete choice experiment. Tob. Control 2017. [Google Scholar] [CrossRef] [PubMed]
- Pesko, M.F.; Kenkel, D.S.; Wang, H.; Hughes, J.M. The effect of potential electronic nicotine delivery system regulations on nicotine product selection. Addiction 2016, 111, 734–744. [Google Scholar] [CrossRef] [PubMed]
- Lee, Y.O.; Shafer, P.R.; Eggers, M.E.; Kim, A.E.; Parvanta, S.A.; Nonnemaker, J.M. Effect of a Voluntary E-cigarette Warning Label on Risk Perceptions. Tob. Regul. Sci. 2016, 2, 82–93. [Google Scholar] [CrossRef]
- Czoli, C.D.; Goniewicz, M.; Islam, T.; Kotnowski, K.; Hammond, D. Consumer preferences for electronic cigarettes: Results from a discrete choice experiment. Tob. Control 2016, 25, e30–e36. [Google Scholar] [CrossRef] [PubMed]
- Mays, D.; Smith, C.; Johnson, A.C.; Tercyak, K.P.; Niaura, R.S. An experimental study of the effects of electronic cigarette warnings on young adult nonsmokers’ perceptions and behavioral intentions. Tob. Induc. Dis. 2016, 14, 17. [Google Scholar] [CrossRef] [PubMed]
- Popova, L.; Ling, P.M. Nonsmokers’ responses to new warning labels on smokeless tobacco and electronic cigarettes: An experimental study. BMC Public Health 2014, 14, 997. [Google Scholar] [CrossRef] [PubMed]
- Lee, H.Y.; Lin, H.C.; Seo, D.C.; Lohrmann, D.K. The effect of e-cigarette warning labels on college students’ perception of e-cigarettes and intention to use e-cigarettes. Addict. Behav. 2018, 76, 106–112. [Google Scholar] [CrossRef] [PubMed]
- Mays, D.; Villanti, A.; Niaura, R.S.; Lindblom, E.N.; Strasser, A.A. The Effects of Varying Electronic Cigarette Warning Label Design Features On Attention, Recall, and Product Perceptions among Young Adults. Health Commun. 2017, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Berry, C.; Burton, S.; Howlett, E. Are Cigarette Smokers’, E-Cigarette Users’, and Dual Users’ Health-Risk Beliefs and Responses to Advertising Influenced by Addiction Warnings and Product Type? Nicotine Tob. Res. 2017, 19, 1185–1191. [Google Scholar] [CrossRef] [PubMed]
- Sanders-Jackson, A.; Schleicher, N.C.; Fortmann, S.P.; Henriksen, L. Effect of warning statements in e-cigarette advertisements: An experiment with young adults in the United States. Addiction 2015, 110, 2015–2024. [Google Scholar] [CrossRef] [PubMed]
- Majeed, B.A.; Weaver, S.R.; Gregory, K.R.; Whitney, C.F.; Slovic, P.; Pechacek, T.F.; Eriksen, M.P. Changing Perceptions of Harm of E-Cigarettes Among U.S. Adults, 2012–2015. Am. J. Prev. Med. 2017, 52, 331–338. [Google Scholar] [CrossRef] [PubMed]
- Huerta, T.R.; Walker, D.M.; Mullen, D.; Johnson, T.J.; Ford, E.W. Trends in E-Cigarette Awareness and Perceived Harmfulness in the U.S. Am. J. Prev. Med. 2017, 52, 339–346. [Google Scholar] [CrossRef] [PubMed]
- Xu, Y.; Guo, Y.; Liu, K.; Liu, Z.; Wang, X. E-Cigarette Awareness, Use, and Harm Perception among Adults: A Meta-Analysis of Observational Studies. PLoS ONE 2016, 11, e0165938. [Google Scholar] [CrossRef] [PubMed]
- Mumford, E.A.; Pearson, J.L.; Villanti, A.C.; Evans, W.D. Nicotine and E-cigarette Beliefs and Policy Support among US Smokers and Nonsmokers. Tob. Regul. Sci. 2017, 3, 293–305. [Google Scholar] [CrossRef]
- Wackowski, O.A.; Giovenco, D.P.; Singh, B.; Lewis, M.J.; Steinberg, M.B.; Delnevo, C.D. Content Analysis of US News Stories About E-Cigarettes in 2015. Nicotine Tob. Res. 2017. [Google Scholar] [CrossRef] [PubMed]
- Tan, A.S.; Lee, C.J.; Nagler, R.H.; Bigman, C.A. To vape or not to vape? Effects of exposure to conflicting news headlines on beliefs about harms and benefits of electronic cigarette use: Results from a randomized controlled experiment. Prev. Med. 2017, 105, 97–103. [Google Scholar] [CrossRef] [PubMed]
- Trinkets & Trash. The Online Surveillance System & Archive of Tobacco Products & Marketing Materials. Available online: https://www.trinketsandtrash.org/index.php (accessed on 23 March 2018).
- Weaver, S.R.; Majeed, B.A.; Pechacek, T.F.; Nyman, A.L.; Gregory, K.R.; Eriksen, M.P. Use of electronic nicotine delivery systems and other tobacco products among USA adults, 2014: Results from a national survey. Int. J. Public Health 2016, 61, 177–188. [Google Scholar] [CrossRef] [PubMed]
- Persoskie, A.; Nguyen, A.B.; Kaufman, A.R.; Tworek, C. Criterion validity of measures of perceived relative harm of e-cigarettes and smokeless tobacco compared to cigarettes. Addict. Behav. 2017, 67, 100–105. [Google Scholar] [CrossRef] [PubMed]
- Wackowski, O.A.; Manderski, M.B.T.; Delnevo, C.D. Comparison of Direct and Indirect Measures of E-cigarette Risk Perceptions. Tob. Regul. Sci. 2016, 2, 38–43. [Google Scholar] [CrossRef] [PubMed]
- Ooms, G.I.; Bosdriesz, J.R.; Portrait, F.R.; Kunst, A.E. Sociodemographic Differences in the Use of Electronic Nicotine Delivery Systems in the European Union. Nicotine Tob. Res. 2016, 18, 724–729. [Google Scholar] [CrossRef] [PubMed]
- Sanders-Jackson, A.N.; Tan, A.S.; Bigman, C.A.; Henriksen, L. Knowledge about E-Cigarette Constituents and Regulation: Results from a National Survey of U.S. Young Adults. Nicotine Tob. Res. 2015, 17, 1247–1254. [Google Scholar] [CrossRef] [PubMed]
- Kamboj, A.; Spiller, H.A.; Casavant, M.J.; Chounthirath, T.; Smith, G.A. Pediatric Exposure to E-Cigarettes, Nicotine, and Tobacco Products in the United States. Pediatrics 2016, 137, e20160041. [Google Scholar] [CrossRef] [PubMed]
- Gibson, L.A.; Creamer, M.R.; Breland, A.B.; Giachello, A.L.; Kaufman, A.; Kong, G.; Pechacek, T.F.; Pepper, J.K.; Soule, E.K.; Halpern-Felsher, B. Measuring perceptions related to e-cigarettes: Important principles and next steps to enhance study validity. Addict. Behav. 2017, 79, 219–225. [Google Scholar] [CrossRef] [PubMed]
Variable Name | Full Sample (N = 3642) | Smokers (N = 865) | Non-Smokers (N = 2777) |
---|---|---|---|
Tobacco use | |||
Current smoker | 16.5% | -- | -- |
Ever used ENDS | 15.3% | 53.3% | 7.8% |
Harm perception | |||
ENDS equally or more harmful compared to cigarettes | 47.8% | 42.1% | 48.9% |
Ad with warning exposure | |||
Seen any ads | 81.4% | 90.1% | 79.6% |
Potential exposure to magazine ads with warnings (state-level) | 11.5% | 11.4% | 11.5% |
Socio-demographic variables | |||
Race/Ethnicity | |||
White, non-Hispanic | 67.4% | 64.8% | 67.9% |
Black, non-Hispanic | 9.9% | 16.1% | 8.7% |
Other, non-Hispanic | 6.9% | 5.2% | 7.2% |
Hispanic | 14.6% | 12.5% | 15.0% |
2+ Races, non-Hispanic | 1.2% | 1.4% | 1.2% |
Age | 45.05 (0.33) | 42.94 (0.60) | 45.46 (0.37) |
Female | 51.8% | 47.6% | 52.6% |
Married | 59% | 50.1% | 60.7% |
Household size | 2.81 (0.03) | 2.81 (0.07) | 2.81 (0.03) |
# of children <18 in household | 0.59 (0.02) | 0.60 (0.04) | 0.59 (0.02) |
Household income | |||
≤$29,999 | 22.1% | 39.8% | 18.6% |
$30,000–$74,999 | 34.9% | 37.8% | 34.3% |
≥$75,000 | 43.1% | 22.4% | 47.2% |
Employment | |||
Unemployed | 10.9% | 14.5% | 10.2% |
Employed | 58.5% | 52.8% | 59.7% |
Not in the labor force | 30.5% | 32.6% | 30.1% |
Education | |||
Less than high school | 12.1% | 19.1% | 10.7% |
High school | 27.4% | 36.0% | 25.7% |
Some college | 29.4% | 33.7% | 28.5% |
Bachelor’s degree or higher | 31.2% | 11.3% | 35.1% |
Variable Name | All Respondents (N = 3642) | Smokers (N = 865) | Nonsmokers (N = 2777) |
---|---|---|---|
Seen any ENDS ads | 0.71 *** (0.58–0.86) | 0.67 (0.40–1.13) | 0.71 *** (0.58–0.88) |
Potential exposure to magazine ads with warnings (state-level) | 0.26 * (0.07–0.98) | 2.85 (0.23–35.5) | 0.16 * (0.04–0.77) |
Current smokers | 1.07 (0.85–1.34) | -- | -- |
Ever used ENDS | 0.41 *** (0.32–0.52) | 0.49 *** (0.35–0.68) | 0.35 *** (0.24–0.50) |
Race/ethnicity-White—non-Hispanic omitted as the reference group | |||
Black, non-Hispanic | 1.38 * (1.06–1.81) | 1.05 (0.64–1.73) | 1.50 * (1.09–2.08) |
Other, non-Hispanic | 1.15 (0.80–1.64) | 2.40 * (1.05–5.47) | 1.03 (0.72–1.55) |
Hispanic | 1.73 *** (1.33–2.25) | 1.70 + (0.96–3.02) | 1.80 *** (1.33–2.42) |
2+ Races, non-Hispanic | 1.23 (0.80–1.90) | 0.27 * (0.08–0.96) | 1.68 * (1.07–2.64) |
Age | 0.99 (0.97–1.02) | 0.96 (0.90–1.03) | 1.001 (0.97–1.03) |
Age squared | 1.0002 (1.00–1.0005) | 1.0004 (1.00–1.001) | 1.0001 (1.00–1.0005) |
Female | 1.44 *** (1.24–1.68) | 1.08 (0.77–1.52) | 1.55 *** (1.31–1.84) |
Married | 1.07 (0.90–1.28) | 1.08 (0.75–1.56) | 1.05 (0.86–1.29) |
Household size | 1.02 (0.93–1.11) | 1.08 (0.91–1.28) | 1.01 (0.91–1.12) |
# Children | 1.10 (0.98–1.24) | 0.92 (0.72–1.18) | 1.13 + (0.99–1.30) |
Household income—≤$24,999 omitted as the reference group | |||
$25,000–$74,999 | 0.89 (0.71–1.10) | 0.69 + (0.46–1.02) | 0.96 (0.74–1.24) |
≥$75,000 | 0.72 ** (0.57–0.91) | 0.68 (0.41–1.14) | 0.75 * (0.58–0.98) |
Employment—unemployed omitted as the reference group | |||
Employed | 1.17 (0.87–1.57) | 0.85 (0.49–1.46) | 1.24 (0.88–1.75) |
Not in labor force | 0.99 (0.72–1.36) | 1.01 (0.56–1.83) | 0.99 (0.68–1.45) |
Education—less than high school omitted as the reference group | |||
High school | 0.79 (0.58–1.08) | 0.96 (0.57–1.63) | 0.74 (0.50–1.08) |
Some college | 0.76 + (0.55–1.03) | 0.92 (0.54–1.56) | 0.71 + (0.49–1.05) |
Bachelor’s degree or higher | 0.67 * (0.48–0.92) | 0.67 (0.34–1.35) | 0.63 * (0.43–0.92) |
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Shang, C.; Weaver, S.R.; Zahra, N.; Huang, J.; Cheng, K.-W.; Chaloupka, F.J. The Association between Potential Exposure to Magazine Ads with Voluntary Health Warnings and the Perceived Harmfulness of Electronic Nicotine Delivery Systems (ENDS). Int. J. Environ. Res. Public Health 2018, 15, 575. https://doi.org/10.3390/ijerph15040575
Shang C, Weaver SR, Zahra N, Huang J, Cheng K-W, Chaloupka FJ. The Association between Potential Exposure to Magazine Ads with Voluntary Health Warnings and the Perceived Harmfulness of Electronic Nicotine Delivery Systems (ENDS). International Journal of Environmental Research and Public Health. 2018; 15(4):575. https://doi.org/10.3390/ijerph15040575
Chicago/Turabian StyleShang, Ce, Scott R. Weaver, Nahleen Zahra, Jidong Huang, Kai-Wen Cheng, and Frank J. Chaloupka. 2018. "The Association between Potential Exposure to Magazine Ads with Voluntary Health Warnings and the Perceived Harmfulness of Electronic Nicotine Delivery Systems (ENDS)" International Journal of Environmental Research and Public Health 15, no. 4: 575. https://doi.org/10.3390/ijerph15040575