RESPONSES TO TOBACCO PUBLIC EDUCATION MESSAGES AMONG YOUNG ADULTS: HOW PREVIOUS QUIT ATTEMPTS AND QUIT INTENTIONS AFFECT MESSAGE PERCEPTIONS
Division of Epidemiology, College of Public Health, Ohio State University, Columbus, OH
Joanne G. Patterson, PhD, MPH, MSW
Division of Health Behavior and Health Promotion, Ohio State University, Columbus, OH
Introduction:
- A large proportion of young adults are using nicotine vapes and although the rate of cigarette smoking in the young adult population has decreased over time, there is still prevalent combustible use, specifically in minoritized populations (1-2).
- Cigarette initiation is commonly in young adulthood, so interventions must address avoidance of cigarettes as well as quitting in this group (3-5).
- Public education campaigns can effectively prevent smoking and vaping initiation among youth and encourage cessation in adults, but their effect among young adults (YA) is understudied (6-16).
- We tested the effectiveness of messages describing the absolute and comparative risks of smoking cigarettes and vaping nicotine and assessed how quit interest/attempts shaped post-exposure perceptions among YA living in the United States.
Methods:
- Participants were recruited and prescreened via Prolific and eligible participants were directed to Qualtrics for a survey
- Eligibility criteria were: participants had to be ages 18-35 and reside in the U.S.
- Participants were asked a series of pre-screening questions about their demographics, as well as their smoking/vaping and cessation history.
- Participants were categorized by current smoking and vaping status for analysis.
- Exposures were analyzed by having a quit attempt in the last 12 months versus not, as well as intention to quit within 6 months, compared to those intending to quit, but not within 6 months and those not intending to quit at all.
- YA aged 18–35 years viewed 8 messages in one of three experimental conditions (control, absolute risk, comparative risk).
- After viewing these messages, participants rated their message and effects perceptions in matrix-style questions, as well as rated their feelings about smoking and vaping, harm perceptions, and behavioral intentions with regards to smoking and vaping in the near future.
- We fit unadjusted, post-exposure regression models to assess main effects of self-reported past 12-month quit attempts and quit interest on outcomes (impact perceptions; intentions to refrain from smoking/vaping in the next 3 months) among current smokers (N=750) and vapers (N=1015).
Results:
Figure 1: Visual Presentation of Main Results
Table 1: Sociodemographic characteristics of analytic samples
Current cigarette use
(N = 750) |
Current e-cigarette use
(N = 1,015) |
|||||
N(%) | X2 | P-value | N(%) | X2 | P-value | |
Race | ||||||
BIPOC+ | 286 (38.60) | 1.3004 | 0.254 | 372 (37.20) | 6.4311 | 0.011 |
Non-Hispanic White | 455 (61.40) | 628 (62.80) | ||||
Age | ||||||
18-24 | 172 (23.21) | 42.5967 | 0.000 | 369 (36.90) | 11.3156 | 0.001 |
25-35 | 569 (76.79) | 631 (63.10) | ||||
Gender | ||||||
Cisgender male | 353 (47.64) | 14.9129 | 0.001 | 448 (44.84) | 8.5379 | 0.014 |
Cisgender female | 339 (45.75) | 479 (47.95) | ||||
Transgender/NB+ | 49 (6.61) | 72 (7.21) | ||||
Sexual Orientation | ||||||
Heterosexual | 421 (56.82) | 5.7116 | 0.017 | 532 (53.25) | 0.0247 | 0.875 |
LGBQ+/Asexual | 320 (43.18) | 467 (46.75) | ||||
Education | ||||||
Below a Bachelor’s Degree | 471 (63.56) | 14.1782 | 0.000 | 629 (62.96) | 17.5895 | 0.000 |
Bachelor’s Degree and Above | 270 (36.44) | 370 (37.04) | ||||
Marital Status | ||||||
Single | 321 (43.32) | 19.0539 | 0.000 | 425 (42.59) | 42.4531 | 0.000 |
Partnered | 256 (34.55) | 388 (38.88) | ||||
Married/Divorced | 164 (22.13) | 185 (18.54) | ||||
Income | ||||||
50,000+ | 222 (29.96) | 32.8118 | 0.000 | 283 (28.36) | 19.1458 | 0.000 |
20,000-49,999 | 305 (41.16) | 393 (39.38) | ||||
<20,000 | 214 (28.88) | 322 (32.26) | ||||
Cigarette Quit Variables | ||||||
Quit Interest (3-level) | ||||||
Yes, within the next 6 months | 287 (38.27) | N/A | N/A | |||
Yes, but not within 6 months | 262 (34.93) | |||||
No/Don’t know | 201 (26.80) | |||||
Quit Interest (2-level) | ||||||
Interested | 549 (73.20) | N/A | N/A | |||
Not Interested | 201 (26.80) | |||||
Past 12-month Quit Attempt | ||||||
No | 321 (42.80) | 360.8720 | 0.000 | |||
Yes | 429 (57.20) | |||||
E-Cigarette Quit Variables | ||||||
Quit Interest (3-level) | ||||||
Yes, within the next 6 months | 280 (27.59) | N/A | N/A | |||
Yes, but not within 6 months | 320 (31.53) | |||||
No/Don’t know | 415 (40.89) | |||||
Quit Interest (2-level) | ||||||
Interested | 600 (59.11) | N/A | N/A | |||
Not Interested | 415 (40.89) | |||||
Past 12-month Quit Attempt | ||||||
No | 546 (53.85) | 222.430 | 0.000 | |||
Yes | 468 (46.15) |
Table 4b. Main effects of quit interest and quit attempts on outcomes among SMOKERS
PAST 12-MONTH SMOKING QUIT ATTEMPT | SMOKING QUIT INTEREST | |||||||||||||||
No quit attempt (Ref) | Yes, made quit attempt | No quit interest (Ref) | Interested, but not within 6 months | Interested, within 6 months | ||||||||||||
Mean | 95% CI | Mean | 95% CI | p-value (vs ref) | Mean | 95% CI | Mean | 95% CI | p-value (vs ref)
|
Mean | 95% CI | p-value (vs ref) | p-value (6 mos vs. 6+ month) | |||
Message and Effects Perceptions | ||||||||||||||||
Message perceptions | 3.04 | (2.92, 3.17) | 3.39 | (3.28, 3.50) | <.001 | 2.92 | (2.77, 3.08) | 3.19 | (3.05, 3.32) | .011 | 3.51 | (3.39, 3.64) | <.001 | .001 | ||
Motivate people to quit ALL smoking and vaping | 2.39 | (2.25, 2.53) | 2.71 | (2.59, 2.83) | <0.001 | 2.32 | (2.14, 2.49) | 2.50 | (2.35, 2.65) | 0.126 | 2.82 | (2.68, 2.97) | <.001 | 0.003 | ||
Motivate cigarette smokers to quit | 2.75 | (2.62, 2.89) | 3.22 | (3.10, 3.34) | <0.001 | 2.71 | (2.53, 2.88) | 2.99 | (2.84, 3.14) | 0.017 | 3.27 | (3.12, 3.41) | <0.001 | 0.009 | ||
Motivate cigarette smokers to switch to vaping | 2.74 | (2.59, 2.88) | 3.00 | (2.88, 3.13) | 0.007 | 2.77 | (2.58, 2.95) | 2.88 | (2.72, 3.04) | 0.372 | 2.98 | (2.82, 3.13) | 0.086 | 0.385 | ||
Motivate vapers to quit | 2.27 | (2.13, 2.41) | 2.52 | (2.40, 2.64) | 0.007 | 2.20 | (2.03, 2.37) | 2.34 | (2.19, 2.49) | 0.232 | 2.62 | (2.48, 2.77) | <0.001 | 0.008 | ||
Motivate non-users to start vaping | 1.65 | (1.53, 1.77) | 1.89 | (1.79, 2.00) | 0.003 | 1.83 | (1.67, 1.99) | 1.75 | (1.61, 1.89) | 0.453 | 1.80 | (1.67, 1.93) | 0.792 | 0.588 | ||
Motivate non-users to start smoking | 1.30 | (1.21, 1.38) | 1.44 | (1.36, 1.51) | 0.020 | 1.46 | (1.35, 1.57) | 1.34 | (1.24, 1.44) | 0.118 | 1.35 | (1.26, 1.44) | 0.139 | 0.901 | ||
Feelings about Smoking/Vaping | ||||||||||||||||
Feelings toward smoking cigarettes | 3.26 | (3.12, 3.39) | 2.96 | (2.85, 3.08) | 0.001 | 3.41 | (3.24, 3.57) | 3.25 | (3.11, 3.40) | 0.162 | 2.72 | (2.58, 2.85) | <0.001 | <0.001 | ||
Feelings toward vaping nicotine | 3.31 | (2.87, 3.75) | 3.50 | (3.12, 3.88) | 0.532 | 3.28 | (2.72, 3.83) | 3.58 | (3.09, 4.07) | 0.419 | 3.37 | (2.91, 3.83) | 0.798 | 0.539 | ||
Harm perceptions | ||||||||||||||||
Perceived harm of cigarettes to health | 8.50 | (8.32, 8.69) | 8.65 | (8.50, 8.81) | 0.219 | 8.12 | (7.89, 8.35) | 8.58 | (8.38, 8.78) | 0.003 | 8.92 | (8.73, 9.11) | <0.001 | 0.014 | ||
Perceived harm of nicotine vapes to health | 6.83 | (6.57, 7.09) | 6.88 | (6.66, 7.11) | 0.766 | 6.52 | (6.19, 6.85) | 6.73 | (6.44, 7.02) | 0.351 | 7.21 | (6.94, 7.49) | 0.002 | 0.017 | ||
Perceived harm of vaping nicotine to health (vs smoking cigarettes) | 4.85 | (4.52, 5.17) | 5.08 | (4.79, 5.36) | 0.301 | 5.07 | (4.66, 5.48) | 4.80 | (4.44, 5.16) | 0.329 | 5.08 | (4.73, 5.42) | 0.982 | 0.272 | ||
Behavioral Intentions | ||||||||||||||||
Intent to smoke cigarettes within next 3 months | 1.99 | (1.90, 2.08) | 2.61 | (2.53, 2.69) | <0.001 | 1.95 | (1.84, 2.06) | 2.13 | (2.04, 2.23) | 0.016 | 2.81 | (2.72, 2.90) | <0.001 | <0.001 | ||
Intent to vape nicotine within next 3 months | 2.46 | (2.35, 2.57) | 2.73 | (2.63, 2.83) | <0.001 | 2.33 | (2.20, 2.47) | 2.50 | (2.38, 2.62) | 0.075 | 2.91 | (2.80, 3.03) | <0.001 | <0.001 |
Table 4c. Main effects of quit interest and quit attempts on outcomes among VAPERS
PAST 12-MONTH VAPING QUIT ATTEMPT | |||||||||||||||
No quit attempt (Ref) | Made quit attempt | No quit interest (Ref) | Interested, but not within 6 months | Interested, within 6 months | |||||||||||
Mean | 95% CI | Mean | 95% CI | p-value | Mean | 95% CI | Mean | 95% CI | p-value (vs ref) | Mean | 95% CI | p-value (vs ref) | p-value (6 mos vs. 6+ month) | ||
Message Perceptions and Motivations | |||||||||||||||
Message perceptions | 2.83 | (2.44, 3.23) | 3.06 | (2.63, 3.49) | 0.442 | 2.95 | (2.50, 3.41) | 2.84 | (2.32, 3.36) | 0.750 | 3.02 | (2.47, 3.58) | 0.844 | 0.635 | |
Motivate people to quit ALL smoking and vaping | 2.35 | (2.24, 2.45) | 2.48 | (2.36, 2.59) | 0.094 | 2.22 | (2.10, 2.34) | 2.46 | (2.33,2.60) | 0.007 | 2.62 | (2.48, 2.76) | <0.001 | 0.119 | |
Motivate cigarette smokers to quit | 3.03 | (2.92, 3.13) | 3.16 | (3.05, 3.28) | 0.091 | 2.94 | (2.82, 3.06) | 3.09 | (2.95, 3.22) | 0.122 | 3.32 | (3.17, 3.47) | <0.001 | 0.026 | |
Motivate cigarette smokers to switch to vaping | 3.16 | (3.05, 3.27) | 3.25 | (3.13, 3.37) | 0.290 | 3.13 | (3.01, 3.26) | 3.22 | (3.08, 3.36) | 0.360 | 3.29 | (3.14, 3.45) | 0.115 | 0.508 | |
Motivate vapers to quit | 2.14 | (2.04, 2.24) | 2.47 | (2.36, 2.58) | <0.001 | 2.08 | (1.97, 2.20) | 2.24 | (2.11, 2.37) | 0.067 | 2.66 | (2.52, 2.80) | <0.001 | <0.001 | |
Motivate non-users to start vaping | 1.67 | (1.57, 1.76) | 1.84 | (1.73, 1.94) | 0.017 | 1.72 | (1.61, 1.83) | 1.71 | (1.59, 1.84) | 0.937 | 1.82 | (1.69, 1.96 | 0.227 | 0.224 | |
Motivate non-users to start smoking | 1.22 | (1.16, 1.28) | 1.36 | (1.29, 1.42) | 0.002 | 1.28 | (1.21, 1.35) | 1.24 | (1.16, 1.32) | 0.389 | 1.35 | (1.26, 1.43) | 0.256 | 0.064 | |
Feelings about Smoking/Vaping | |||||||||||||||
Feelings toward smoking cigarettes | 3.14 | (3.03, 3.24) | 3.02 | (2.91, 3.13) | 0.134 | 3.26 | (3.14, 3.38) | 3.09 | (2.95, 3.22) | 0.053 | 2.83 | (2.69, 2.98) | <0.001 | 0.011 | |
Feelings toward vaping nicotine | 3.71 | (3.42, 4.01) | 3.54 | (3.22, 3.86) | 0.447 | 3.74 | (3.40, 4.08) | 3.76 | (3.37, 4.15) | 0.945 | 3.32 | (2.91, 3.74) | 0.123 | 0.128 | |
Perceived Harm | |||||||||||||||
Perceived harm of cigarettes to health | 8.85 | (8.72, 8.98) | 8.81 | (8.67, 8.95) | 0.679 | 8.65 | (8.50, 8.79) | 8.93 | (8.76, 9.10) | 0.014 | 8.97 | (8.79, 9.15) | 0.007 | 0.731 | |
Perceived harm of nicotine vapes to health | 5.75 | (5.55, 5.95) | 6.84 | (6.63, 7.05) | <0.001 | 5.62 | (5.40, 5.85) | 6.32 | (6.06, 6.57) | <0.001 | 7.12 | (6.84, 7.39) | <0.001 | <0.001 | |
Perceived harm of vaping nicotine to health (vs smoking cigarettes) | 3.64 | (3.38, 3.89) | 4.59 | (4.31, 4.86) | <0.001 | 3.64 | (3.35, 3.94) | 4.18 | (3.85, 4.51) | 0.018 | 4.61 | (4.25, 4.97) | <0.001 | 0.085 | |
Refrain Scale | |||||||||||||||
Intent to refrain from smoking cigarettes within next 3 months | 3.01 | (2.93, 3.09) | 3.27 | (3.18, 3.35) | <0.001 | 2.83 | (2.74, 2.92) | 3.22 | (3.12, 3.32) | <0.001 | 3.46 | (3.35, 3.57) | <0.001 | 0.002 | |
Intent to refrain from vaping nicotine within next 3 months | 1.92 | (1.85, 1.99) | 2.45 | (2.37, 2.52) | <0.001 | 1.86 | (1.79, 1.94) | 2.02 | (1.94, 2.10) | 0.005 | 2.77 | (2.68, 2.86) | <0.001 | <0.001 |
**All results are Bonferroni corrected so alpha = 0.03
Conclusions:
- Tobacco public education messages describing the absolute and comparative risks of smoking cigarettes and vaping nicotine were most effective for YA who reported making a recent quit attempt, or who were interesting quitting smoking/vaping within 6 months.
- Results suggest that YA are interested in quitting smoking/vaping and that unique message framing must be developed to engage YA across the quit continuum.
Funding/Acknowledgements:
- Thank you to all members of the Practice and Science for LGBTQ+ Health Equity Lab for their contributions.
- This research was funded by the National Institutes of Health, National Cancer Institute and FDA Center for Tobacco Products (K99CA260718 and R00CA260718; PI: JGP), and supported by the Ohio State University Comprehensive Cancer Center and the Ohio State University College of Public Health.
References
- Sanford BT Brownstein NC Baker NL, et al. Shift From Smoking Cigarettes to Vaping Nicotine in Young Adults. JAMA Intern Med. 2024;184(1):106–108. doi:10.1001/jamainternmed.2023.5239
- Pérez A, Bluestein MA, Kuk AE, Chen B. Age of e-cigarette initiation in USA young adults: Findings from the Population Assessment of Tobacco and Health (PATH) study (2013-2017). PLoS One. 2021 Dec 13;16(12):e0261243. doi: 10.1371/journal.pone.0261243. PMID: 34898629; PMCID: PMC8668126.
- Barrington-Trimis JL, Braymiller JL, Unger JB, McConnell R, Stokes A, Leventhal AM, Sargent JD, Samet JM, Goodwin RD. Trends in the Age of Cigarette Smoking Initiation Among Young Adults in the US From 2002 to 2018. JAMA Netw Open. 2020 Oct 1;3(10):e2019022. doi: 10.1001/jamanetworkopen.2020.19022. PMID: 33021650; PMCID: PMC7539122.
- Kelsh S, Ottney A, Young M, Kelly M, Larson R, Sohn M. Young Adults’ Electronic Cigarette Use and Perceptions of Risk. Tob Use Insights. 2023 Mar 7;16:1179173X231161313. doi: 10.1177/1179173X231161313. PMID: 36911177; PMCID: PMC9996725.
- Farrelly MC, Nonnemaker J, Davis KC, Hussin A. The Influence of the National truth® Campaign on Smoking Initiation. Am J Prev Med. 2009;36(5):379-384. doi:10.1016/j.amepre.2009.01.019
- Farrelly MC, Duke JC, Nonnemaker J, et al. Association Between The Real Cost Media Campaign and Smoking Initiation Among Youths — United States, 2014–2016. MMWR Morb Mortal Wkly Rep. 2017;66(02):47-50. doi:10.15585/mmwr.mm6602a2
- Sly D, Hopkins R, Trapido E, Ray S. Influence of a counteradvertising media campaign on initiation of smoking: the Florida “truth” campaign. Am J Public Health. 2001;91(2):233-238. doi:10.2105/AJPH.91.2.233
- Weiss JW, Cen S, Schuster D, et al. Longitudinal effects of pro‐tobacco and anti‐tobacco messages on adolescent smoking susceptibility. Nicotine Tob Res. 2006;8(3):455-465. doi:10.1080/14622200600670454
- Siegel M. What the FDA Gets Wrong About E-Cigarettes. Bloomberg. https://www.bloomberg.com/view/articles/2017-03-16/what-the-fda-gets-wrong-about-e-cigarettes?in_source=embedded-checkout-banner. Published March 16, 2017. Accessed July 25, 2023.
- Calabro KS, Khalil GE, Chen M, Perry CL, Prokhorov AV. Pilot study to inform young adults about the risks of electronic cigarettes through text messaging. Addict Behav Rep. 2019;10:100224. doi:10.1016/j.abrep.2019.100224
- U.S National Cancer Institute. A Socioecological Approach to Addressing Tobacco-Related Health Disparities | Division of Cancer Control and Population Sciences (DCCPS). A Socioecological Approach to Addressing Tobacco-Related Health Disparities; 2017. Accessed July 25, 2023. https://cancercontrol.cancer.gov/brp/tcrb/monographs/monograph-22
- Duke JC, Farrelly MC, Alexander TN, et al. Effect of a National Tobacco Public Education Campaign on Youth’s Risk Perceptions and Beliefs About Smoking. Am J Health Promot. 2018;32(5):1248-1256. doi:10.1177/0890117117720745
- Kranzler EC, Hornik RC. The Relationship Between Exogenous Exposure to “The Real Cost” Anti-Smoking Campaign and Campaign-Targeted Beliefs. J Health Commun. 2019;24(10):780-790. doi:10.1080/10810730.2019.1668887
- The Real Cost E-Cigarette Prevention Campaign. Published online July 21, 2023. Accessed July 31, 2023. https://www.fda.gov/tobacco-products/real-cost-campaign/real-cost-e-cigarette-prevention-campaign#:~:text=Our%20Goal%3A%20Educate%20youth%20about,addiction%20from%20using%20e%2Dcigarettes
- This Free Life Campaign. Published online March 11, 2022. Accessed July 31, 2023. https://www.fda.gov/tobacco-products/public-health-education-campaigns/free-life-campaign