Congrats to our team member, Emma Jankowski, on helping to write this paper on the sustainability of social needs resolution interventions! The full text is linked in our bio!
Posts
International Women’s Day
Happy International Women’s Day! Let’s celebrate the social, economic, cultural, and political achievements of women and continue to advocate for women’s equality.
LGBTQ+ young adults’ engagement with culturally tailored anti-tobacco communications: A qualitative formative evaluation to inform experimental research
Presenter: Joanne G. Patterson (1,2)
Co Authors: Alysha C. Ennis (1), Emma Jankowski (1), Grace Turk (1), Ashley Meadows (1), Caitlin Miller (1), Hayley Curran (2), Sydney Galusha (1)
- The Ohio State University College of Public Health
- Center for Tobacco Research, The Ohio State University James-Comprehensive Cancer Center
Introduction:
- Lesbian, gay, bisexual, transgender, and queer young adults (LGBTQ+ YA) report high rates of cigarette smoking and nicotine vaping (1-6).
- Mass-reach anti-tobacco communications can increase public knowledge of tobacco harms and decrease use, yet they may not engage LGBTQ+ YA (7-17).
- No studies describe effective anti-tobacco message framing for SGM and non-SGM YA engaged in dual use, though understanding these nuances is important for developing inclusive anti-tobacco communications.
- We conducted a formative evaluation to inform culturally targeted (CT) anti-tobacco communications.
Methods:
- We reviewed existing CT anti-tobacco campaigns before conducting in-depth focus groups of N=22 LGBTQ+ YA (18-35) ever dual users to assess best practices for message design (visuals, semantics).
- We applied findings to develop 9 CT and 9 non-targeted (NT) messages, which an expert panel (N=7) of LGBTQ+ community partners, scientists, and LGBTQ+ YA reviewed.
- Messages are being experimentally tested in a remote eye tracking study with LGBTQ+ YA.
Results:
- LGBTQ+ YA were skeptical of CT anti-tobacco campaigns featuring stereotypical representation of LGBTQ+ individuals and questioned the motive of cultural targeting,
- “Are you genuinely […] advertising to me, or are you advertising to some, like, monolithic LGBT group that you think exists?” (FG34, Queer, he/him).
- Communications featuring naturally posed models and a diversity of LGBTQ+ people engaged participants more than overly posed models and oversaturated colors:
- “If I was scrolling, [the natural ad] would actually make me stop… but the second I see those saturated blue, purple looks, I’m like “That’s an ad”, and I just scroll right past it.” (FG23, Bisexual, he/him/she/her).
- Personal stories were well received:
- “I also like the quotes, and that it has the people’s name there. It makes it feel more personal…they’re reaching out to you with their story.” (FG21, Bisexual, they/them).
- Unclear visuals and slogans were negatively received.
- We applied findings to develop CT anti-tobacco communications featuring naturalistic LGBTQ+ models of diverse races, ethnicities, and genders. We paired harms messaging with personal stories and subtle cultural cues (e.g., “our health”, pronouns). These are shown at the bottom of this post.
- The expert panel confirmed that messages were culturally and scientifically relevant.
Theme | Code | Definition |
Ad Design | ||
Font | Participants discuss liking or disliking font choices/typography | |
Layout | Participants discuss liking or disliking spacing, layout, or white space. | |
Colors | Participants discuss liking or disliking colors | |
Graphic type | Participants discuss liking or disliking the type of graphic (e.g. photograph vs. illustration/cartoon) | |
Brand Identity | Discusses that the ad design matches or does not match the product being sold given what is known/presumed about a brand (e.g., of “not matching” brand identity: Kandy Pens ad image of women/men being intimate and product not featured; “I like that they used their brand name as kind of like a play on words”).
“This ad tells me nothing about what this company is or does, or anything.” |
|
Creativity | Participants discuss whether an ad does or does not feel creative or clever with respect to its design (e.g., Bud Light ad where “L G B T” were highlighted). | |
Aesthetically pleasing | Participants discuss whether an ad is overall aesthetically pleasing or not | |
Ad Content: Imagery | ||
Imagery – Representative | Participants discuss feeling though the images in ad represent them/people they know (i.e., looks like me, acts like me) or feature real representation of LGBTQ people generally. | |
Imagery – Liking | General like code for imagery | |
Imagery – Disliking | General dislike code for imagery | |
Imagery – Subtle/Overt | Participants discuss the subtlety or overtness of the LGBTQ elements within an ad | |
Imagery – Pride Flags and rainbows | Discusses the liking or disliking of LGBTQ flags and colors within ads | |
Imagery – Who | Participants describe liking or disliking having posed (“fake”) vs. more natural looking (“real”) models in the ad. | |
Ad Content: Language | ||
Language – Word choice | Participants discuss liking or disliking word choice | |
Language – Efficacy of absolute risk vs. self-efficacy messaging | Participants discuss liking or disliking absolute risk messages as compared to self-efficacy messages | |
Language – Slang use | Participants discuss liking or disliking the use of slang in an ad (e.g. words like “slay”, “queen”) | |
Language- Humor | Participants discuss liking or disliking the use of humor in advertisements | |
Language- slogans or taglines | Participants discuss liking or disliking the use of slogans, taglines, or catch phrases in an advertisement (e.g., “Quitting isn’t a perfect process” or “Made with Pride”) | |
Ad Content: Representativeness | ||
Inclusivity | Participants discuss whether or not the ad is representative of LGBTQ identities
(L – G – B – T – Q – NB) |
|
Stereotyping | Participants discuss feeling as though the ads represent stereotypes of the LGBTQ community, in imagery, language, content, etc. | |
Intersectionality | Participants discuss whether or not ads are intersectional in terms of identities that are not within the LGBTQ umbrella such as racial identity or class status | |
Authenticity | Participants discuss feeling as though ads are inauthentic/authentic; (e.g., feeling like ads have been created by those not within the LGBTQ community/ feeling as though ads have been created by those within the LGBTQ community
(authentic ads may take into consideration the feelings, wishes and traditions towards the LGBTQ community) |
|
Fetishization of LGBTQ community | Participants discuss ads sexualizing or fetishizing the LGBTQ community | |
Target Audience | Discusses whom they believe an ad was targeted towards | |
Normalization/Visibility | Participants discuss ads being used to normalize or make visible LGBTQ people and relationships. Word “representative” might be used by participants. | |
Context | ||
Brand partnerships | Participants discuss liking or disliking the inclusion of brand partnerships with LGBTQ organizations (e.g. GLADD, Rainbow Railroad) | |
Ad placement | Participants discuss where they see culturally-targeted ads (e.g. social media, malls, TV) | |
Outdated/Current | Discusses whether the language, content, and/or design of ad feels outdated or current (e.g., compared to the current time period/context). | |
Rainbow capitalism | Participants discuss only seeing culturally-targeted ads during Pride Month, or being performative/used just to make money | |
Pandering | Participants discuss feeling as though companies are trying to please the LGBTQ community by acting in a way they believe the LGBTQ community would want them to act | |
Corny/Trite | Participants discuss advertisements feeling “corny” or trying too hard. (e.g. describing things as “tumblr-core,” “white woman’s instagram,” “millennial”, “mom”) | |
Necessity | Participants discuss whether or not they view LGBTQ+ advertising as necessary/needed for LGBTQ community | |
General feelings | Participants discuss how they feel about LGBTQ culturally targeted advertising generally; whether like, dislike, or neutral | |
Personal Experience | Discusses how their personal experience influences their perception of an ad | |
Favorite | Participant discusses an ad as their favorite | |
Purchasing | Discusses buying and purchasing product advertised in the ad shown |
Conclusions:
- LGBTQ+ YA were distrustful of CT communications that leveraged “stereotyped” LGBTQ+ imagery.
- As authenticity is important to LGBTQ+ YA, co-creating CT anti-tobacco communications may enhance acceptability, engagement, and effectiveness.
- Eye-tracking research will objectively assess the effect of CT (vs NT control) communications on engagement.
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:
- Ridner S, Ma J, Walker K, et al. Cigarette smoking, ENDS use and dual use among a nationalsample of lesbians, gays and bisexuals. Tob Prev Cessat. 2019;5(December). doi:10.18332/tpc/114229
- Delahanty J, Ganz O, Hoffman L, Guillory J, Crankshaw E, Farrelly M. Tobacco use among lesbian, gay, bisexual and transgender young adults varies by sexual and gender identity. Drug Alcohol Depend. 2019;201:161-170. doi:10.1016/j.drugalcdep.2019.04.013
- Fallin-Bennett A, Lisha NE, Ling PM. Other Tobacco Product Use Among Sexual Minority Young Adult Bar Patrons. Am J Prev Med. 2017;53(3):327-334. doi:10.1016/j.amepre.2017.03.006
- Nayak P, Salazar LF, Kota KK, Pechacek TF. Prevalence of use and perceptions of risk of novel and other alternative tobacco products among sexual minority adults: Results from an online national survey, 2014–2015. Prev Med. 2017;104:71-78. doi:10.1016/j.ypmed.2017.05.024
- Osibogun O, Taleb ZB, Bahelah R, Salloum RG, Maziak W. Correlates of poly-tobacco use among youth and young adults: Findings from the Population Assessment of Tobacco and Health study, 2013–2014. Drug Alcohol Depend. 2018;187:160-164. doi:10.1016/j.drugalcdep.2018.02.024
- Stanton CA, Bansal-Travers M, Johnson AL, et al. Longitudinal e-Cigarette and Cigarette Use Among US Youth in the PATH Study (2013–2015). JNCI J Natl Cancer Inst. 2019;111(10):1088-1096. doi:10.1093/jnci/djz006
- 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
Images Presented in Focus Groups:
Culturally Targeted Imagery for Eye-Tracking
Control Imagery for Eye-Tracking
** At this point, we are pre-publication. If you would like to see more images, please reach out to the Principal Investigator, Joanne Patterson (patterson.1191@osu.edu).
Responses to Tobacco Public Education Messages Among Young Adults: How Previous Quit Attempts and Quit Intentions Affect Message Perceptions
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
Meet the Lab – Dr. Elise Stevens
Dr. Elise Stevens
Pronouns: She/Her/Hers
Title: Assistant Professor, University of Massachusetts Chan Medical School’s Department of Population and Quantitative Health Sciences- Division of Preventative and Behavioral Medicine; Director of the UMass Chan Center for Tobacco Treatment Research and Training
Dr. Stevens is a professor and health communication scientist, whose research focuses on the cognitive, affective, and behavioral responses to health messages.
What was a memorable experience of your public health career?
My most memorable experiences in my public health career have been working with incredible, smart, and funny people who push science forward.
What advice would you give to students pursuing public health?
For students pursuing a career in public health, I would advise them to anticipate numerous challenges along the way. However, cultivating resilience and nurturing a deep passion for the mission will not only lead to success but also imbue their work with greater meaning and fulfillment.
Congratulations to Seed Grant Recipient, Dr. Patterson!
Meet the Lab – Dr. Liz Klein, MPH
Dr. Liz Klein, MPH
Pronouns: She/Her/Hers
Title: Chair & Professor, OSU College of Public Health– Health Behavior & Health Promotion Division
Dr. Klein is a trained behavioral epidemiologist, with research focuses on the field of tobacco control, where she uses various approaches to multi-level strategies that are best to reduce or prevent tobacco use in cross-sectional, experimental, and longitudinal studies. She focuses on youth, young adults, and rural adults at high risk for tobacco use, focused on strategies to eliminate health disparities and achieve health equity.
What was a memorable experience of your public health career?
I’m grateful to have found public health early in my career. I’ve enjoyed working in communities, in practice, and in academia. My favorite experiences boil down to helping reduce the burden of disease by preventing tobacco use or helping people to quit their addiction to tobacco products.
What advice would you give to students pursuing public health?
Public health is a rewarding, challenging career. I would advise students to explore their own strengths and find a way to apply those strengths. There are lots of ways to do impactful public health work, no matter where you work!
Meet the Lab – Maxwell Schoen
Maxwell Schoen (he/him)
Research Assistant, Public Health with a specialization in Sociology, Freshman
1/16/2024
I am from Cincinnati, Ohio. My interest in public health stems from my passion for cancer prevention and LGBTQ+ health equity. The Public Health Sociology program provides a background on how social factors impact the health of communities.
What drew you to a public health education?
Public health has always interested me because of its unique blend of disciplines and the way that it impacts almost every part of life. I really appreciate how it combines my interests of health, social justice, and policy into one multifaceted education.
What are your goals for the future?
I hope to earn my MPH in health behavior and health promotion before I pursue a medical degree. I would like to use my public health background to contribute meaningful research to the body of knowledge around health disparities and be a more compassionate physician.
How do you spend your time outside of academia?
Outside of academia, I enjoy playing guitar, going to concerts, running, working out and doing outdoor activities like hiking, canoeing, and camping. I also really enjoy traveling to different countries and experiencing different cultures.
NIH Tobacco Regulatory Science Meeting
Four team members from our lab had the opportunity to travel to the NIH Tobacco Regulatory Conference this year. It was great hearing this year’s updates about methanol use, cigars, Nicotine Product Standards, and much more. Our own Alysha Caine Ennis, MPH and Dr. Joanne Patterson led a symposium about our lab’s latest research on developing culturally targeted tobacco education messages. Emma Jankowski and Ashley Meadows had the opportunity to present posters sharing their work with the broader tobacco community at NIH as well. The team had an amazing learning experience and hope to be back next year!
Meet the Lab – Dr. Darren Mays
Dr. Darren Mays
Pronouns: He/Him/His
Titles: Associate Professor of Internal Medicine and Assistant Dean for Research & Tenure Track Faculty at the College of Medicine, and Director of Training at the Center for Tobacco Research
Dr. Darren Mays’ research focuses on addictive behaviors in the context of cancer prevention, including nicotine/tobacco use, alcohol consumption, and others.
What was a memorable experience of your public health career?
My most memorable experience was probably starting my first faculty position. I always had my sights set on an academic research career, but it only took a couple of weeks for me to realize at that point in my career after completing my PhD, I still had so much to learn!
What advice would you give to students pursuing public health?
My training is in public health but my career path wound to academic medicine. My main advice is to consider diverse opportunities where your skills and expertise can apply. You never know which door will open and will be your “forever” job!