15 research outputs found

    Development and validation of a smoking expectancies measure for adolescents seeking to quit smoking

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    Background—A more comprehensive understanding of factors that affect smoking cessation outcomes among adolescents may help enhance treatment interventions. One promising but underexplored factor that may influence cessation success is teens’ specific expectancies or beliefs about smoking outcomes. The present study evaluated the validity and reliability of a new measure of expectancies and its association with cessation outcomes among 762 adolescent smokers participating in studies of the American Lung Association’s Not-On-Tobacco cessation program. Methods—Self-report questionnaires were collected prior to and following participation in a smoking cessation program. Self-reported cigarette use was verified with expired-air carbon monoxide. A multi-step exploratory and confirmatory factor analysis and reliability and validity analyses were performed. Results—Four theoretically-related yet empirically independent factors were identified by the Smoking Expectancies Questionnaire (SEQ): 1) Positive Reinforcement, 2) Negative Reinforcement / Emotional Regulation, 3) Negative Reinforcement / Addiction and Withdrawal, and 4) Negative Outcomes/Risk. These factors could be subsumed by a single SEQ factor that reflected an overall concept of smoking expectancies relevant for adolescent smoking cessation. An overall SEQ Function score reflecting the balance between positive and negative expectancies predicted both pre-intervention cigarettes per day and cessation outcomes. Conclusions—A single, overall SEQ Function score may prove useful for understanding the associations among individual, social and contextual factors in predicting treatment outcomes. Additionally, study findings may assist with modifying smoking expectancies among cessation program participants thereby enhancing treatment outcomes with diverse youth smoking populations

    Time to first cigarette predicts cessation outcomes in adolescent smokers

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    INTRODUCTION: This study examined the relationship between the time to the first cigarette (TTFC) of the morning with quit status among adolescent smokers at the completion of a school-based smoking cessation program. Among those who did not quit, the relationship of TTFC with changes in cigarettes/day (CPD) was also examined. METHODS: A total of 1,167 adolescent smokers (1,024 nonquitters and 143 quitters) from 4 states participating in efficacy and effectiveness studies of the Not-On-Tobacco (N-O-T) cessation program were assessed prior to entry into the program and again 3 months later at the end of treatment. Linear and logistic regression analyses determined the influence of treatment condition, age, gender, motivation to quit, confidence in quitting ability, baseline CPD, and TTFC on quit status and end-of-treatment CPD. RESULTS: Adolescents with a TTFC of >30min of waking were twice as likely to quit at end of treatment. Additionally, among those who did not quit at end of treatment (n = 700 for TTFC ≤30min and n = 324 for TTFC for >30min), those with a TTFC within 30min of waking smoked a greater number of CPD. The relationships of TTFC with both of these outcomes remained when controlling for all other predictor variables. CONCLUSIONS: Identifying adolescent smokers who smoke their first cigarette of the day within the first 30min of waking prior to a quit attempt may help to classify those individuals as having a greater risk for cessation failure. Thus, TTFC may be a behavioral indicator of nicotine dependence in adolescents

    Examining Visual Attention to Tobacco Marketing Materials Among Young Adult Smokers: Protocol for a Remote Webcam-Based Eye-Tracking Experiment

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    BackgroundEye 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. ObjectiveThis 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. MethodsA 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. ResultsStudy 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. ConclusionsYoung 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. International Registered Report Identifier (IRRID)RR1-10.2196/4351
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