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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)

  1. The Ohio State University College of Public Health
  2. 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:

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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.
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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 

 

Emma Jankowski, BSPH 

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

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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. 

Meet the Lab – Dr. Liz Klein, MPH

Dr. Liz Klein, MPH

Pronouns: She/Her/Hers

Title: Chair & Professor, OSU College of Public HealthHealth 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 careerI’ve enjoyed working in communities, in practice, and in academiaMy 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 careerI would advise students to explore their own strengths and find a way to apply those strengthsThere 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!