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Observational research suggests that placing graphic images on cigarette warning labels can reduce smoking rates, but field studies lack experimental control. Our primary objective was to determine the psychological processes set in motion by naturalistic exposure to graphic vs. text-only warnings in a randomized clinical trial involving exposure to modified cigarette packs over a 4-week period. Theories of graphic-warning impact were tested by examining affect toward smoking, credibility of warning information, risk perceptions, quit intentions, warning label memory, and smoking risk knowledge. Adults who smoked between 5 and 40 cigarettes daily (N = 293; mean age = 33.7), did not have a contra-indicated medical condition, and did not intend to quit were recruited from Philadelphia, PA and Columbus, OH. Smokers were randomly assigned to receive their own brand of cigarettes for four weeks in one of three warning conditions: text only, graphic images plus text, or graphic images with elaborated text. Data from 244 participants who completed the trial were analyzed in structural-equation models. The presence of graphic images (compared to text-only) caused more negative affect toward smoking, a process that indirectly influenced risk perceptions and quit intentions (e.g., image->negative affect->risk perception->quit intention). Negative affect from graphic images also enhanced warning credibility including through increased scrutiny of the warnings, a process that also indirectly affected risk perceptions and quit intentions (e.g., image->negative affect->risk scrutiny->warning credibility->risk perception->quit intention). Unexpectedly, elaborated text reduced warning credibility. Finally, graphic warnings increased warning-information recall and indirectly increased smoking-risk knowledge at the end of the trial and one month later. In the first naturalistic clinical trial conducted, graphic warning labels are more effective than text-only warnings in encouraging smokers to consider quitting and in educating them about smoking's risks. Negative affective reactions to smoking, thinking about risks, and perceptions of credibility are mediators of their impact. Clinicaltrials.gov NCT01782053.

ObjectiveThe nine pictorial health warning labels (PWLs) proposed by the US Food and Drug Administration vary in format and feature of visual and textual information. Congruency is the degree to which visual and textual features reflect a common theme. This characteristic can affect attention and recall of label content. This study investigates the effect of congruency in PWLs on smoker’s attention and recall of label content.Methods120 daily smokers were randomly assigned to view either congruent or incongruent PWLs, while having their eye movements recorded. Participants were asked to recall label content immediately after exposure and 5 days later.ResultsOverall, the image was viewed more and recalled better than the text. Smokers in the incongruent condition spent more time focusing on the text than smokers in the congruent condition (p=0.03), but dwell time of the image did not differ. Despite lower dwell time on the text, smokers in the congruent condition were more likely to correctly recall it on day 1 (p=0.02) and the risk message of the PWLs on both day 1 (p=0.01) and day 5 (p=0.006) than smokers in the incongruent condition.ConclusionsThis study identifies an important design feature of PWLs and demonstrates objective differences in how smokers process PWLs. Our results suggest that message congruency between visual and textual information is beneficial to recall of label content. Moreover, images captured and held smokers’ attention better than the text.

Objective Plain packaging and graphic warning labels are two regulatory strategies that may impact cigarette risk beliefs and reduce consumption, but data are needed to better understand how smokers respond to such regulations. Methods Adult, daily, Marlboro non-menthol smokers (Red [ n  = 141] or Gold [ n  = 43]) completed a mixed factorial randomized trial. Participants smoked their usual cigarettes during baseline (5-days) and were randomized to receive cigarette packs with a warning label manipulation (graphic vs. text-only). Within each warning label condition, participants completed three within-subjects pack color manipulations (red, gold, plain), each lasting 15 days. Participants were blinded to the fact that all packs contained their usual cigarettes. Mixed-effects models examined between- and within-subject differences on risk beliefs, product perceptions, and smoking behavior. Results Warning type and package color did not impact cigarette consumption or subjective ratings. However, use increased in all conditions (2.59–3.59 cigarettes per day) relative to baseline. While smokers largely held correct risk beliefs at baseline (Mean = 6.02, SE = 0.17, Range:0–8), the cumulative number of incorrect or uncertain cigarette risk beliefs increased from baseline in all pack color manipulations in the text (IRR range = 1.70–2.16) and graphic (IRR range = 1.31–1.70) warning conditions. Across all pack color periods, those in the graphic (vs. text) warning condition had reduced odds of reporting their study cigarettes as ‘safer’ than regular cigarettes (OR range = 0.22–0.32). Conclusions Pack color modification may increase uncertainty about several key cigarette risk beliefs, though graphic warnings may attenuate these effects. Regulatory agencies could consider supporting policy changes with information campaigns to maximize public knowledge. Trial registration November 25, 2014; Registration number: NCT02301351.

Sexual and gender minority (SGM) youth are at high risk for vaping, yet few interventions are tailored toward this population. To address this gap, we explored SGM youth’s preferences for anti-vaping messages to inform the development of tailored anti-vaping campaigns. Participants were 245 SGM-identifying US youth, ages 13–18 years. Participants completed a discrete choice experiment that assessed which types of images were preferred by SGM youth for a social media anti-vaping campaign. Images varied on two attributes: SGM tailoring (none, low, high), and number of people in the image (1, 2, 3 + people). Choice-based conjoint analysis (hierarchical Bayesian estimation) was conducted utilizing Sawtooth Software. Tailoring had higher importance for image selection than number of people. Images with high SGM tailoring were most preferred, and images with no tailoring were least preferred. Most preferred images contained two people with high tailoring and 3 + people with no or low tailoring. The least preferred images included 3 + people and high tailoring. Tailoring anti-vaping messaging for SGM youth may increase the likelihood that youth will notice, engage with, and share the content with peers. These findings provide insight into components that may increase the efficacy of preventative anti-vaping social media campaigns for SGM youth.

The urinary metabolites cyanoethyl mercapturic acid (CEMA) and 3-hydroxypropyl mercapturic acid (3-HPMA) have been widely used as biomarkers of exposure to acrylonitrile and acrolein, respectively, but there are no published data on their consistency over time in the urine of cigarette smokers. We provided, free of charge over a 20 week period, Spectrum NRC600/601 research cigarettes to cigarette smokers in the control arm of a randomized clinical trial of the reduced nicotine cigarette. Urine samples were collected at weeks 4, 8, 12, 16, and 20 and analyzed for CEMA and 3-HPMA, and total nicotine equivalents (TNE) using validated methods. Creatinine-corrected intra-class correlation coefficients for CEMA, 3-HPMA, and TNE were 0.67, 0.46, and 0.68, respectively, indicating good longitudinal consistency for CEMA, while that of 3-HPMA was fair. A strong correlation between CEMA and TNE values was observed. These data support the use of CEMA as a reliable biomarker of tobacco smoke exposure. This is the first report of the longitudinal stability of the biomarkers of acrylonitrile and acrolein exposure in smokers. The data indicate that CEMA, the biomarker of acrylonitrile exposure, is consistent over time in cigarette smokers, supporting its use. While 3-HPMA levels were less stable over time, this biomarker is nevertheless a useful monitor of human acrolein exposure because of its specificity to this toxicant.

Pictorial health warnings on cigarette packs create aversive emotional reactions to smoking and induce thoughts about quitting; however, contrary to models of health behavior change, they do not appear to alter intentions to quit smoking. We propose and test a novel model of intention to quit an addictive habit such as smoking (the efficacy-desire model) that can explain this paradoxical effect. At the core of the model is the prediction that self-efficacy and desire to quit an addictive habit are inversely related. We tested the model in an online experiment that randomly exposed smokers (N = 3297) to a cigarette pack with one of three increasing levels of warning intensity. The results supported the model's prediction that despite the effects of warnings on aversion to smoking, intention to quit smoking is an inverted U-shape function of the smoker's self-efficacy for quitting. In addition, smokers with greater (lesser) quit efficacy relative to smoking efficacy increase (decrease) intentions to quit. The findings show that previous failures to observe effects of pictorial warning labels on quit intentions can be explained by the contradictory individual differences that warnings produce. Thus, the model explains the paradoxical finding that quit intentions do not change at the population level, even though smokers recognize the implications of warnings. The model suggests that pictorial warnings are effective for smokers with stronger quit-efficacy beliefs and provides guidance for how cigarette warnings and tobacco control strategies can be designed to help smokers quit.

ObjectiveAlthough cigars pose similar health risks to cigarettes, they are not uniformly required to carry a warning label on their packaging in the USA. The US Food and Drug Administration’s 2016 deeming rule established a cigar warning requirement, but it was challenged in federal court for failing to document warning effects on prevention/cessation, thus necessitating an evidentiary base for such requirements. We sought to explore young adult users’ understanding of cigarillo risks and addictiveness, as well as their perceptions of current (voluntary) and proposed cigar warning labels.DesignIn December 2020–January 2021, we conducted eight focus groups with young adult cigarillo smokers. We asked participants their first associations of cigarillos and beliefs about product harms/addictiveness, and then discussed existing warning labels and examples of potential pictorial warnings.SettingFocus groups were conducted remotely via the Adobe Connect platform, with participants from 20 US states.ParticipantsParticipants included 42 young adults (ages 18–29; 50% male), who were recent cigarillo users (ie, past 30 days) or less frequent users (ie, past 12 months).ResultsParticipants frequently used cigarillos as blunts and often conveyed uncertainty about cigarillo risks and addictiveness, in general and relative to cigarettes. Participants typically paid little attention to current text warnings, but many expressed that pictorial warnings would more effectively promote knowledge of product risks and discourage use among prospective users.ConclusionsUS young adult cigarillo users may lack knowledge about product risks and addictiveness. Standardised warning requirements, particularly pictorial labels, may help address this knowledge gap and deter use.

The urinary metabolites (Z)-7-[1R,2R,3R,5S)-3,5-dihydroxy-2-[(E,3S)-3-hydroxyoct-1-enyl]cyclopentyl]hept-5-enoic acid (8-iso-PGF2α), an F2-isoprostane and biomarker of oxidative damage, and \"prostaglandin E2 metabolite\" (PGE-M), a biomarker of inflammation, are elevated in cigarette smokers. However, there is little information in the literature on the longitudinal stability of these widely used biomarkers. In a large clinical trial involving 10 institutional sites, smokers were given, free of charge over a period of 20 weeks, Spectrum NRC600/601 research cigarettes containing 15.5 mg nicotine/g tobacco. All participants were instructed to smoke these cigarettes for the duration of the study. At weeks 4, 8, 12, 16, and 20, first morning urine voids were collected and analyzed for 8-iso-PGF2α and PGE-M using validated liquid chromatography-electrospray ionization-tandem mass spectrometry methods. The mean level of 8-iso-PGF2α at Week 4 was 1.34 ± 1.08 (S.D.) pmol/mg creatinine (N = 226) while that of PGE-M was 73.7 ± 113 (S.D.) pmol/mg creatinine (N = 232). The corresponding levels at Week 20 were 1.35 ± 0.93 (S.D.) pmol/mg creatinine (N = 209) for 8-iso-PGF2α and 74.2 ± 142 (S.D.) pmol/mg creatinine (N = 210) for PGE-M. There was variation in these values in the intervening weeks. The intra-class correlation coefficients (ICC) were 0.51 (95% CI, 0.45, 0.57) and 0.36 (0.30, 0.43), for 8-iso-PGF2α and PGE-M, respectively, indicating fair longitudinal stability for 8-iso-PGF2α and poorer longitudinal stability for PGE-M in cigarette smokers. Males had higher ICC values than females for both 8-iso-PGF2α and PGE-M. These results indicate that, in addition to cigarette smoking, endogenous processes of oxidative damage and inflammation influence the levels of these biomarkers over time among current smokers.

Eye tracking provides an objective way to measure attention, which can advance researchers' and policy makers' understanding of tobacco marketing influences. The development of remote webcam-based eye-tracking technology, integrated with web-based crowdsourcing studies, may be a cost-effective and time-efficient alternative to laboratory-based eye-tracking methods. However, research is needed to evaluate the utility of remote eye-tracking methods. This study aimed to detail the process of designing a remote webcam-based eye-tracking experiment and provide data on associations between participant characteristics and the outcomes of experiment completion. A total of 2023 young adult (aged 18-34 years) cigarette smokers in the United States were recruited to complete a web-based survey that included a 90-second remote eye-tracking experiment that examined attention to e-cigarette marketing materials. Primary outcome measures assessed the completion of the remote eye-tracking experiment-specifically, experiment initiated versus not initiated, experiment completed versus not completed, and usable versus nonusable eye-tracking data generated. Multivariable logistic regressions examined the associations between outcome measures and participants' sociodemographic backgrounds, tobacco use history, and electronic devices (mobile vs desktop) used during the experiment. Study recruitment began on April 14, 2022, and ended on May 3, 2022. Of the 2023 survey participants, 1887 (93.28%) initiated the experiment, and 777 (38.41%) completed the experiment. Of the 777 participants who completed the experiment, 381 (49%) generated usable data. Results from the full regression models show that non-Hispanic Black participants (adjusted odds ratio [AOR] 0.64, 95% CI 0.45-0.91) were less likely to complete the eye-tracking experiment than non-Hispanic White participants. In addition, female (vs male) participants (AOR 1.46, 95% CI 1.01-2.11), those currently using (vs not using) e-cigarettes (AOR 2.08, 95% CI 1.13-3.82), and those who used mobile (vs desktop) devices (AOR 5.10, 95% CI 3.05-8.52) were more likely to generate usable eye-tracking data. Young adult participants were willing to try remote eye-tracking technology, and nearly half of those who completed the experiment generated usable eye-tracking data (381/777, 49%). Thus, we believe that the use of remote eye-tracking tools, integrated with crowdsourcing recruitment, can be a useful approach for the tobacco regulatory science research community to collect high-quality, large-scale eye-tracking data in a timely fashion and thereby address research questions related to the ever-evolving tobacco marketing landscape. It would be useful to investigate techniques to enhance completion rates and data usability. RR1-10.2196/43512.

IntroductionConverging lines of research indicate that the public misinterprets the relative harms associated with different tobacco and nicotine products. These misperceptions may contribute to persistent tobacco-related health disparities. To inform regulatory actions in a growing tobacco market, it is essential to understand how harm perceptions differ across tobacco and nicotine products among racial and ethnic groups to ultimately decrease disparities.MethodsAn online sample (n=897) of US adults completed a discrete choice experiment, known as a Maximum Difference Likelihood task, which is an orthogonally balanced approach designed to assess harm perceptions of 18 tobacco products that span a risk continuum. Participants selected the most and least harmful products. We estimated probability-scaled relative harm perception scores using a multinomial logit hierarchical Bayesian analysis. We then conducted linear regressions to look at differences by race and ethnicity using estimated marginal means and contrasts for each product while controlling for smoking status, age and sex.ResultsThe analyses revealed that participants’ harm perceptions do not align with the established scientific literature for combustibles, smokeless tobacco and non-combustible tobacco products. We observed low harm perceptions for products with high population rates of use, such as cigarillos and little cigars for non-Hispanic (NH) Black or African American, and Latino individuals. We observed high harm perceptions for products with low population use, such as plug tobacco for NH Asian individuals, e-cigarettes for NH Black or African American and Latino individuals and nicotine replacement therapy for NH Black or African Americans.ConclusionGiven the known tobacco-related health disparities among people of color, our results underscore the need to correct the tobacco product harm misperceptions among certain races and ethnicities, such as NH Black or African Americans, Latinos, NH Asians and NH Indigenous or mixed-race individuals.