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Introduction: The Food and Drug Administration announced intent to reduce the nicotine content in cigarettes. There is limited evidence on how reduced nicotine content cigarette (RNC) marketing affects product beliefs and use, and research on this is needed to inform regulations.Methods: In an online experiment, 426 young adult cigarette smokers (aged 18-30 years) were randomized in a 2 (implicit: red package vs. blue package) × 2 (explicit: corrective message vs. no corrective message) design to view an advertisement for previously commercially available RNCs. Outcomes were advertisement content recall, product beliefs, and use intentions. Participants' responses to open-ended assessment of their beliefs about the stimuli were coded to identify prevailing themes.Results: Red packaging and corrective messaging were independently associated with greater advertisement content recall (p = .01 and p = .04, respectively). There were no significant main or interaction effects on product beliefs or use intentions. Controlling for condition, advertisement content recall was significantly associated with less favorable product beliefs (p < .001) and favorable product beliefs were associated with intent to use the product (p < .001). Open-ended responses converged on the finding that respondents were interested in RNCs, but expressed skepticism about effectiveness and value.Conclusions: Brief exposure to an RNC advertisement with red packaging and corrective messaging were each independently associated with greater advertisement content recall. The results indicate: (1) interest and confusion among young adult smokers regarding RNCs, (2) beliefs about RNCs are influenced by marketing, and (3) beliefs are associated with intention to use RNCs.Implications: Findings from this study demonstrate the importance of advertising effects on beliefs about RNC products and support the need to regulate advertising and labeling alongside product regulation. More detailed study of advertisement features that affect consumers' beliefs about RNCs and how they impact their processing of explicit messaging about product risks will be important to guide regulatory decision-making. [ABSTRACT FROM AUTHOR]

Objectives: Recent research has shown that message congruency is beneficial to recall of pictorial health warning label (PWL) content after initial exposure. Despite less attention to the text warning, smokers exposed to congruent PWLs were more likely to recall the text and the message. This study aimed to replicate these findings and to examine whether congruency also affects recall after multiple exposures over time.Methods: A total of 320 daily smokers (39.7% female; cigarettes/day: M = 15.31, SD = 7.15) were randomized to one congruent or incongruent PWL and attended 4 laboratory sessions over 10 days. During each session, eye movements were recorded while viewing the PWL and open-ended recall of label content was assessed after exposure.Results: Smokers who were exposed to a congruent PWL were more likely to recall the text (p = .01) and the message (p = .02) and less likely to recall the image (p = .003) of the PWL after initial exposure. By day 4, incongruent PWLs were recalled equally well as congruent PWLs. Independent of condition, image recall was initially high and remained high whereas text and message recall was relatively low initially but increased over time. It was not until day 7 that about 80% of text and message recall was observed.Conclusions: Even when exposed to the same PWL over time, smokers require multiple exposures to recall the text and the message of a PWL. More research on the effects of congruency in the natural environment, where smokers are exposed to multiple PWLs, is needed.Implications: The findings of this study, and of previous work showing that message congruency in PWLs is beneficial to initial recall of PWL content, could potentially help to address legal challenges regarding the implementation of PWLs in the United States. Factually correct text warnings have been uncontested on US cigarettes packages since 1966. Congruent PWLs simply provide a means to visually support the same information as the existing text using a medium that better garners attention to the health information. Investigating and understanding longer-term effects of congruency are important and can empirically inform future warning label development, both in the United States via the Family Smoking Prevention and Tobacco Control Act, and via other governing bodies. [ABSTRACT FROM AUTHOR]

Introduction: Recent developments in smoking cessation support systems and interventions have highlighted the requirement for unobtrusive, passive ways to measure smoking behavior. A number of systems have been developed for this that either use bespoke sensing technology, or expensive combinations of wearables and smartphones. Here, we present StopWatch, a system for passive detection of cigarette smoking that runs on a low-cost smartwatch and does not require additional sensing or a connected smartphone.Methods: Our system uses motion data from the accelerometer and gyroscope in an Android smartwatch to detect the signature hand movements of cigarette smoking. It uses machine learning techniques to transform raw motion data into motion features, and in turn into individual drags and instances of smoking. These processes run on the smartwatch, and do not require a smartphone.Results: We conducted preliminary validations of the system in daily smokers (n = 13) in laboratory and free-living conditions running on an Android LG G-Watch. In free-living conditions, over a 24-h period, the system achieved precision of 86% and recall of 71%.Conclusions: StopWatch is a system for passive measurement of cigarette smoking that runs entirely on a commercially available Android smartwatch. It requires no smartphone so the cost is low, and needs no bespoke sensing equipment so participant burden is also low. Performance is currently lower than other more expensive and complex systems, though adequate for some applications. Future developments will focus on enhancing performance, validation on a range of smartwatches, and detection of electronic cigarette use.Implications: We present a low-cost, smartwatch-based system for passive detection of cigarette smoking. It uses data from the motion sensors in the watch to identify the signature hand movements of cigarette smoking. The system will provide the detailed measures of individual smoking behavior needed for context-triggered just-in-time smoking cessation support systems, and to enable just-in-time adaptive interventions. More broadly, the system will enable researchers to obtain detailed measures of individual smoking behavior in free-living conditions that are free from the recall errors and reporting biases associated with self-report of smoking. [ABSTRACT FROM AUTHOR]