The impacts of electronic cigarette health warning labels on use intentions and perceptions: A cross-sectional study of US and Israeli adults who use tobacco

Author:

Duan Zongshuan1,Levine Hagai2,Bar-Zeev Yael2,Cui Yuxian3,LoParco Cassidy R3,Wang Yan34,Abroms Lorien C34,Khayat Amal2,Berg Carla J34ORCID

Affiliation:

1. Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA

2. Braun School of Public Health and Community Medicine, Faculty of Medicine, The Hebrew University of Jerusalem and Hadassah Medical Center, Jerusalem, Israel

3. Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA

4. George Washington Cancer Center, George Washington University, Washington, DC, USA

Abstract

Background: Health warning labels (HWLs) are evidence-based tobacco control strategies; however, their application to e-cigarettes and related impacts (e.g. on perceived risk), including across countries with different regulations, are understudied. Design and Methods: Using 2021 survey data from 927 US and Israeli adults reporting past-month tobacco use, multivariate analyses examined: (1) sociodemographics in relation to self-reported impact of e-cigarette HWLs (i.e. more concerned about e-cigarette use, reassured, no effect) among those who noticed e-cigarette HWLs (multinomial regressions); and (2) HWL impacts in relation to use intentions and perceived addictiveness and harm (linear regressions). Results: Among those who noticed HWLs ( n = 835, 90.1%), 34.1% reported HWLs resulted in greater concern about e-cigarette use, 45.5% no effect, and 20.4% reassurance. Factors associated with greater concern (vs no effect) included e-cigarette non-use (vs use; aOR = 1.69, 95% CI:1.22, 2.38), US (vs Israel) resident (aOR = 1.65, 95% CI:1.16, 2.34), age 18–25 (vs 36–45; aOR = 1.72, 95% CI:1.11, 2.67), and more education (aOR = 1.85, 95% CI:1.30, 2.63). Factors associated with being reassured (vs no effect) included use of cigarettes (aOR = 1.71, 95% CI:1.06, 2.75), e-cigarettes (aOR = 2.64, 95% CI:1.77, 3.94), and other tobacco (aOR = 2.11, 95% CI:1.39, 3.21), and Israeli resident (aOR = 2.33, 95% CI:1.47, 3.70). Not noticing HWLs (vs no effect) correlated with lower intentions (β = −0.44, 95% CI:−0.87, −0.01), perceived addictiveness (β = −0.61, 95% CI:−1.05, −0.18), and harm (β = −0.56, 95% CI:−0.95, −0.18); reassurance correlated with greater use intentions (β = 0.48, 95% CI:0.12, 0.83); and greater concern was unassociated with use intentions or perceived risk. Conclusion: Effects of differing e-cigarette HWLs in distinct subpopulations warrant research. Despite being noticed, they may have no effect or encourage e-cigarette use.

Publisher

SAGE Publications

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