Importance:The tobacco industry spends more than $8 billion annually in the US on marketing at the point of sale. Exposure to tobacco retail has been associated with smoking outcomes, but substantially less is known about how objectively logged everyday tobacco retail exposure is associated with smoking outcomes. Objective:To assess preregistered hypotheses that individuals would report (1) greater craving and (2) more cigarettes smoked on days when their exposure to tobacco retail is higher than usual. Design, Setting, and Participants:This multimodal, within-person cohort study combined objectively logged geolocation tracking, public tobacco retail location records, and ecological momentary assessment data. Eligible participants recruited from the GeoSmoking Study were aged 21 to 65 years, smoked at least 5 cigarettes per day over the previous 6 months, owned a smartphone, and were a resident of Pennsylvania, New Jersey, or Delaware. Data were collected from May 25, 2022, to June 10, 2024. Exposure:Exposure to tobacco retail stores was assessed using mobility data matched with locations of tobacco retailers across Pennsylvania, New Jersey, and Delaware. Main Outcomes and Measures:Daily mean craving and daily number of cigarettes smoked were computed using ecological momentary assessment. Results:A total of 273 participants were included in the final analyses (mean [SD] age, 42.5 [10.7] years; 151 women [55.3%]). Multilevel models revealed support for both preregistered hypotheses. On days when individuals had more tobacco retail exposure than their own average, they reported significantly higher levels of craving (b = 0.04; 95% CI, 0.01-0.07; t3457 = 2.72; P = .01) and smoking significantly more cigarettes (b = 0.01; 95% CI, 0.0002-0.01; t3469 = 2.05; P = .04). Conclusions and Relevance:In this cohort study of individuals who smoke cigarettes daily, exposure to tobacco retail in their everyday lives was associated with increases in craving and smoking. These findings highlight the importance of retail exposure and smoking outcomes, information that is critical for developing effective tobacco control interventions and lays the foundation for broader health research on environmental factors that shape health behaviors.

Background: Cigarette smoking is one of the world’s main public health concerns, accounting for 1 in 5 deaths in the United States (U.S) per year. Exposure to tobacco retail has been linked to adverse smoking outcomes, but research utilizing naturalistic and causal approaches to quantify these effects in the real world remains relatively sparse. To address this, we used ecological momentary assessment, geolocation tracking, and neuroimaging to assess smoking outcomes in the real world, and conducted a randomized controlled trial focused on the effects of real-world exposure to tobacco retail.Objective: The GeoSmoking Study aimed to evaluate: (1) within-person associations between real-world tobacco retail exposure and cigarette craving and smoking; (2) causal effects of real-world tobacco retail exposure; and (3) neural cue reactivity as a mechanism for real-world tobacco retail effects.Methods: In a two-week baseline period, we used ecological momentary assessment to collect reports of craving and smoking multiple times per day. Simultaneously, we used geolocation tracking to quantify tobacco retail exposure, through creation of a tobacco retailer database across three U.S. states (Pennsylvania, New Jersey, Delaware). A four-week intervention period followed, in which participants were randomly assigned to enter either a non-tobacco retail store once per day (Non-tobacco retailer condition), a tobacco retail store once per day (Tobacco retailer condition), or follow their normal routines (Control condition). An optional functional magnetic resonance imaging (fMRI) session concluded the study. Individuals participated remotely, unless they opted in to the fMRI session, which was conducted at the University of Pennsylvania.Results: The GeoSmoking Study was approved by the Institutional Review Board at the University of Pennsylvania on February 3rd, 2022. Data collection started on May 25th, 2022 and ended on June 10th, 2024. In total, 310 participants were enrolled, 282 participants completed the baseline phase, 244 participants completed the intervention phase, and 24 participants completed the fMRI scan.Conclusions: This novel and innovative study protocol was successfully implemented. Findings from planned analyses may have significant implications for health behaviors, outcomes, and policy.Trial Registration: Cancer Prevention through Neural and Geospatial Examination of Tobacco Marketing Effects in Smokers: 1R01CA229305-01A1; ClinicalTrials.gov Identifier: NCT04279483

Importance: The tobacco industry spends over $8 billion annually in the United States on marketing at the point-of-sale. Exposure to tobacco retail has been associated with smoking outcomes, but substantially less is known about how objectively logged day-to-day, real-world tobacco retail exposure is linked to smoking outcomes. Objective: To assess pre-registered hypotheses that individuals report greater craving and cigarettes smoked on days when their objectively logged retail exposure is higher than usual. Design: A 14-day within-person observational study combining objectively logged geolocation tracking, public tobacco-retail location records, and ecological momentary assessment. Data collection occurred from 2022 to 2024. Setting: A multimodal study including participants statewide in Pennsylvania, New Jersey, and Delaware. Participants: Main eligibility criteria were: aged 21-65 years, smoked at least five cigarettes per day for the previous six months, owned an iPhone or Android smartphone, and a resident of Pennsylvania, New Jersey, or Delaware. Participants were selected via convenience sampling. A total of 310 participants enrolled.Exposure: To assess tobacco retail exposure, mobility data collected objectively via geolocation tracking was matched with locations of tobacco retailers across three states. Main Outcomes and Measures: Daily average craving and daily number of cigarettes smoked, reported via ecological momentary assessment. Results: A total of 273 participants were included in the final analyses (151 [55.3%] women; 175 [64.1%] white; mean [SD] age, 42.46 [10.69] years). Multilevel models revealed support for both pre-registered hypotheses. On days when individuals had more tobacco retail exposure than their usual baseline, they reported significantly higher levels of craving (b = 0.04, t(3,456.79) = 2.56, p = 0.01) and smoking significantly more cigarettes (b = 0.01, t(3,469) = 2.47, p = 0.01).Conclusions and Relevance: People’s environments shape their feelings and behaviors. Exposure to tobacco retail in the real-world is associated with increases in craving and smoking. Findings highlight the significance of retail exposure in relation to smoking, information that is critical for developing effective tobacco control interventions, and lays foundations for broader health research on environmental factors shaping health behaviors.

Significance Research on the conditions under which electronic cigarette (EC) use produces a net reduction in the population harm attributable to combusted cigarette (CC) use requires the triangulation of information from cohort(s) of smokers, non-smokers, EC users, and dual-users of all varieties.Materials and Methods This project utilizes data from the All of Us Research Program to contrast a panel of wellness and disease-risk indicators across a range of self-reported tobacco-use profiles, including smokers, current, and former EC users. This article focuses on the tobacco use history and current tobacco use status among All of Us participants enrolled between May 2017 and February 2023 (Registered Controlled Tier Curated Data Repository [CDR] v7).Results The present analytic sample included an unweighted total of N = 412 211 individuals with information on ever-use of both CC and EC. Among them, 155 901 individuals have a history of CC use, with 65 206 identified as current smokers. EC usage is reported by 64 002 individuals, with 16 619 being current users. Model predicted analyses identified distinct patterns in CC and EC usage across demographic and socioeconomic variables, with younger ages favoring ECs.Discussion Age was observed to significantly affect EC usage, and gender differences reveal that males were significantly more likely to use CC and/or EC than females or African Americans of any gender. Higher educational achievement and income were associated with lower use of both CC and EC, while lower levels of mental health were observed to increase the likelihood of using CC and EC products.Conclusion Findings suggest the potential for the All of Us Research Program for investigation of causal factors driving both behavioral use transitions and cessation outcomes.

While a growing body of research has been demonstrating how exposure to social and built environments relate to various health outcomes, specific pathways generally remain poorly understood. But recent technological advancements have enabled new study designs through continuous monitoring using mobile sensors and repeated questionnaires. Such geographically explicit momentary assessments (GEMA) make it possible to link momentary subjective states, behaviors, and physiological parameters to momentary environmental conditions, and can help uncover the pathways linking place to health. Despite its potential, there is currently no review of GEMA studies detailing how location data is used to measure environmental exposure, and how this in turn is linked to momentary outcomes of interest. Moreover, a lack of standard reporting of such studies hampers comparability and reproducibility. The objectives of this research were twofold: 1) conduct a systematic review of GEMA studies that link momentary measurement with environmental data obtained from geolocation data, and 2) develop a STROBE extension guideline for GEMA studies. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Inclusion criteria consisted of a combination of repeated momentary measurements of a health state or behavior with GPS coordinate collection, and use of these location data to derive momentary environmental exposures. To develop the guideline, the variables extracted for the systematic review were compared to elements of the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) and CREMAS (CRedibility of Evidence from Multiple Analyses of the Same data) checklists, to provide a new guideline for GEMA studies. An international panel of experts participated in a consultation procedure to collectively develop the proposed checklist items. A total of 20 original GEMA studies were included in the review. Overall, several key pieces of information regarding the GEMA methods were either missing or reported heterogeneously. Our guideline provides a total of 27 categories (plus 4 subcategories), combining a total of 70 items. The 22 categories and 32 items from the original STROBE guideline have been integrated in our GEMA guideline. Eight categories and 6 items from the CREMAS guideline have been included to our guideline. We created one new category (namely “Consent”) and added 32 new items specific to GEMA studies. This study offers a systematic review and a STROBE extension guideline for the reporting of GEMA studies. The latter will serve to standardize the reporting of GEMA studies, as well as facilitate the interpretation of results and their generalizability. In short, this work will help researchers and public health professionals to make the most of this method to advance our understanding of how environments influence health.

INTRODUCTION:To investigate the absolute and proportionate number of menthol versus regular cigarette packs displayed on the shelves inside tobacco retail outlets (TROs) across New York City (NYC). AIMS AND METHODS:Photographic surveillance methods were used to capture the presence and proportionate amount of all visible cigarette packs on the shelves inside N = 160 TROs. Statistical analyses examined the absolute and proportionate number of menthol packs in each TRO as a function of NYC borough, the local TRO environment, population smoking rates derived from the NYC Community Health Survey, and other demographic indicators from the American Community Survey. RESULTS:The total number of cigarette packs on the shelves of each TRO and the proportion of menthol packs varied significantly across TROs, averaging about one-quarter of all packs displayed (M = 0.274; SD = .15). Modeling results indicate that the proportion of menthol packs displayed was significantly greater in areas with elevated population smoking rates (odds ratio [OR] = 1.03, CI: 1.01-1.06) and density of TROs per 1000 residents (OR = 1.23; CI: 1.01-1.49), although these associations varied in complex ways with the proportion living under the federal poverty level and the proportion under age 18 years residing within each zip-code. CONCLUSIONS:Results of this study demonstrate the utility of photograph-based TRO audit methods for objective, reliable documentation of the presence and proportionate amount of menthol versus other cigarette pack types on TRO shelves and highlight the need to account for sources of variation between small areas when examining the TRO product landscape and evaluating the effectiveness of regulatory actions against menthol. IMPLICATIONS:This study describes use of a "hands-free" surveillance technique that offers valuable advantages over traditional retailer surveillance techniques. Comprehensive photographic surveillance data collection allows for more objective measurements of, in this case, the retail outlet's tobacco power wall, as multiple coders can review the same images and interrater reliability can be empirically tested. The results of this analysis highlight the need to account for local variation between small areas when examining TRO product landscapes and the effects of policy changes at the retailer level.

Background: Interest in quitting smoking is common among young adults who smoke, but it can prove challenging. Although evidence-based smoking cessation interventions exist and are effective, a lack of access to these interventions specifically designed for young adults remains a major barrier for this population to successfully quit smoking. Therefore, researchers have begun to develop modern, smartphone-based interventions to deliver smoking cessation messages at the appropriate place and time for an individual. A promising approach is the delivery of interventions using geofences-spatial buffers around high-risk locations for smoking that trigger intervention messages when an individual's phone enters the perimeter. Despite growth in personalized and ubiquitous smoking cessation interventions, few studies have incorporated spatial methods to optimize intervention delivery using place and time information.Objective: This study demonstrates an exploratory method of generating person-specific geofences around high-risk areas for smoking by presenting 4 case studies using a combination of self-reported smartphone-based surveys and passively tracked location data. The study also examines which geofence construction method could inform a subsequent study design that will automate the process of deploying coping messages when young adults enter geofence boundaries.Methods: Data came from an ecological momentary assessment study with young adult smokers conducted from 2016 to 2017 in the San Francisco Bay area. Participants reported smoking and nonsmoking events through a smartphone app for 30 days, and GPS data was recorded by the app. We sampled 4 cases along ecological momentary assessment compliance quartiles and constructed person-specific geofences around locations with self-reported smoking events for each 3-hour time interval using zones with normalized mean kernel density estimates exceeding 0.7. We assessed the percentage of smoking events captured within geofences constructed for 3 types of zones (census blocks, 500 ft2fishnet grids, and 1000 ft2fishnet grids). Descriptive comparisons were made across the 4 cases to better understand the strengths and limitations of each geofence construction method. Results: The number of reported past 30-day smoking events ranged from 12 to 177 for the 4 cases. Each 3-hour geofence for 3 of the 4 cases captured over 50% of smoking events. The 1000 ft2fishnet grid captured the highest percentage of smoking events compared to census blocks across the 4 cases. Across 3-hour periods except for 3:00 AM-5:59 AM for 1 case, geofences contained an average of 36.4%-100% of smoking events. Findings showed that fishnet grid geofences may capture more smoking events compared to census blocks.Conclusions: Our findings suggest that this geofence construction method can identify high-risk smoking situations by time and place and has potential for generating individually tailored geofences for smoking cessation intervention delivery. In a subsequent smartphone-based smoking cessation intervention study, we plan to use fishnet grid geofences to inform the delivery of intervention messages.

This rapid response surveillance project was funded by the National Science Foundation (NSF) to collect “perishable” data on egress behaviors and neighborhood conditions surrounding healthcare centers (HCCs) in New York City (NYC) during the initial NYC COVID-19 PAUSE ordinance from March 22nd to May 19th, 2020. Anonymized data on NYC HCC egress behaviors were collected by observational field workers using phone-based mapping applications. Each egress trip record includes the day of week, time of day, destination category type, along with an array of behavioral outcome categories, ambient weather conditions and socio-economic factors. Egress trajectories with precise estimates of distance traveled and the spatial dispersion or “spread” around each HCC were added via post-processing. The data collection and cleaning process resulted in 5,030 individual egress records from 18 facilities over a 9-week period.

Electronic cigarettes (ECs) may hold great potential for helping smokers transition off combustible cigarettes (CCs); however, little is known about the patterns that smokers follow when using an EC as a CC-substitute in order to ultimately reduce and quit smoking. Our primary aim in this study was to evaluate whether common patterns of CC use exist amongst individuals asked to substitute an EC for at least half of the CCs they would normally smoke. These patterns may elucidate the immediate switching and reduction behaviors of individuals using ECs as a reduction/cessation tool. This analysis uses data from a randomized controlled trial of 84 adult smokers assigned to receive either 4.5% nicotine or placebo (0% nicotine) EC. Participants were advised to use the EC to help them reach a 50% reduction in cigarettes-per-day (CPD) within 3 weeks. Longitudinal trajectory analysis was used to identify CPD reduction classes amongst the sample; participants clustered into four distinct, linear trajectories based on daily CC use during the 3-week intervention. Higher readiness to quit smoking, prior successful quit attempts, and lower baseline CC consumption were associated with assignment into "more successful" CC reduction classes. ECs may be a useful mechanism to promote CC reduction. This study demonstrates that a fine-grained trajectory approach can be applied to examine switching patterns in the critical first weeks of an attempt.

Background Smoking cessation is the most effective means of slowing the decline of lung function associated with chronic obstructive pulmonary disease (COPD). While effective smoking cessation treatments are available, they are underutilized and nearly half of people with COPD continue to smoke. By addressing both nicotine and behavioral dependence, electronic cigarettes (EC) could help people with COPD reduce the harm of combustible cigarettes (CC) through reductions in number of Cigarettes per Day (CPD) or quitting CC completely. The purpose of this pilot study is to identify barriers and facilitators to the use of and assess the preliminary effectiveness of EC as a harm reduction strategy among people with COPD. Methods In an open-label two-arm randomized controlled trial pilot study, 60 patients identified as smokers with a COPD diagnosis via electronic health records from a large urban health center are randomized in a 1:1 ratio to either standard care [counseling + nicotine replacement therapy (NRT)] or counseling + EC. The NRT arm will receive nicotine patches and nicotine lozenges for 12 weeks. The EC arm will receive EC for 12 weeks. Both cohorts will receive counseling from a licensed mental health counselor. Using ecological momentary assessment, participants will report their use of CC in both arms and EC use in the EC arm daily via text message. Primary outcomes will be feasibility and acceptability of intervention, and secondary outcomes will be reduction in CPD and change in COPD symptoms as measured by COPD Assessment Tool (CAT) score at 12-weeks. EC displacement of CC. To explore attitudes towards the use of EC as a harm-reduction strategy for patients with COPD, interviews will be performed with a sample of participants from both study arms. Discussion Despite decades of availability of smoking cessation medications, nearly half of people with COPD still smoke. This study aims to address the unmet need for feasible and effective strategies for reducing CC use among those with COPD, which has the potential to significantly improve the health of people with COPD who smoke. Trial Registration ClinicalTrials.gov Identifier: NCT04465318.

Vector control strategies are central to the mitigation and containment of COVID-19 and have come in the form of municipal ordinances that restrict the operational status of public and private spaces and associated services. Yet, little is known about specific population responses in terms of risk behaviors. To help understand the impact of those vector control variable strategies, a multi-week, multi-site observational study was undertaken outside of 19 New York City medical facilities during the peak of the city's initial COVID-19 wave (03/22/20-05/19/20). The aim was to capture perishable data of the touch, destination choice, and PPE usage behavior of individuals egressing hospitals and urgent care centers. A major goal was to establish an empirical basis for future research on the way people interact with three-dimensional vector environments. Anonymized data were collected via smart phones. Each data record includes the time, data, and location of an individual leaving a healthcare facility, their routing, interactions with the build environment, other individuals, and themselves. Most records also note their PPE usage, destination, intermediary stops, and transportation choices. The records were linked with 61 socio-economic factors by the facility zip code and 7 contemporaneous weather factors and the merged in a unified shapefile in an ARCGIS system. This paper describes the project team and protocols used to produce over 5,100 publicly accessible observational records and an affiliated codebook that can be used to study linkages between individual behaviors and on-the-ground conditions.

Background Adults who are homeless are more likely to have alcohol use disorders (AUDs) compared with domiciled adults. Although AUD treatments are commonly available, many factors (eg, transportation limitations and inability to schedule appointments) contribute to low treatment completion rates and low success rates of these interventions among adults experiencing homelessness. Most adults who are homeless own mobile phones; however, no interventions have been developed that use mobile devices to deliver and support AUD interventions for this population. Mobile phone–based AUD interventions may reduce barriers that have limited the use and utility of traditional interventions. Objective The aim of this study is to (1) identify variables (eg, affect, stress, geolocation, and cravings) that predict drinking among homeless adults (phase I), (2) develop a mobile intervention that utilizes an algorithm to identify moments of risk for drinking and deliver treatment messages that are tailored to the individual’s current needs in real time (phase II), and (3) pilot test the intervention app (phase III). Methods In phase I, adults experiencing homelessness with an AUD (N=80) will complete baseline, equipment, 2-week, and 4-week follow-up visits in person. Participants will be prompted to complete five daily ecological momentary assessments on a study-provided smartphone for 28 days. The smartphone app will collect GPS coordinates every 5 min for the entire 28-day study period. Participants will wear a transdermal alcohol sensor that will objectively measure alcohol use. In phase II, we will use phase I data to develop an algorithm that identifies moments of heightened risk for drinking and develop treatment messages that address risk factors for drinking. Phase III will pilot test the intervention in 40 adults experiencing homelessness with AUD. Results This project was funded in June 2018. IRB approval was obtained in October 2018, and data collection for phase I began in February 2019. Phase III data collection is expected to conclude in 2020. To date, 80 participants have consented to the study, and data analysis for phase I will begin in early 2020. Conclusions This research will highlight intervention targets and develop a novel intervention for understudied and underserved adults experiencing homelessness with AUD. International Registered Report Identifier (IRRID) DERR1-10.2196/15610

• The impact of noise accumulates chronically, often beyond the awareness or control of residents. • GEMA methods are essential, because place-based exposures require context to interpret. • Time-and-place adaptive systems (TAPAS) prioritize participation over intervention.

Objectives Tobacco products in the US market are growing in diversity. Little is known about how youth access tobacco products given this current landscape. Methods Data were drawn from 15- to 17-year-olds from the Wave 1 youth sample of the US nationally representative Population Assessment of Tobacco and Health (PATH) Study. Past 30-day tobacco users were asked about usual sources of access to 12 different tobacco products, and if they had been refused sale because of their age. Results Among 15- to 17-year-olds, social sources (“someone offered” or “asked someone”) were the predominant usual source of access for each tobacco product. “Bought by self” was the usual source of access for users of smokeless (excluding snus, 23.2%), cigarillos (21.0%), cigarettes (13.8%), hookah (12.0%), and electronic cigarettes (10.5%). Convenience stores and/or gas stations were the most often selected retail source for all products except hookah. Among youth who attempted purchase, 24.3% were refused sale of cigarettes, 23.9% cigarillos, and 13.8% smokeless tobacco. Conclusions Most 15- to 17-year-old tobacco users obtain tobacco products through social sources; however, among those who purchased tobacco, the majority report not being refused sale because of age. At the time of survey, cigarette and cigar sales to under 18 years were prohibited in all 50 states, and electronic cigarettes sales in 47 states and two territories. 2014 Annual Synar Reports signaled increasing trends in retail violations of state and/or district laws prohibiting tobacco product sales to under 18 years. Monitoring illicit youth sales, conducting compliance check inspections, and penalizing violations remain important to reduce youth tobacco access at retail venues. Implications Access to the spectrum of tobacco products by youth in the United States remains predominantly through social sources. However, of the minority of youth tobacco users in 2014 who purchased tobacco themselves, a few reported being refused sale: Convenience stores and/or gas stations were the most common retail source for tobacco products. The strategies of monitoring illicit youth sales, conducting compliance checks, and penalizing violations remain important to reduce youth tobacco access at retail venues. Limiting sources of youth tobacco access remains an important focus to reduce the burden of tobacco on the public health.

Background: The decisions that individuals make about the food and beverage products they purchase and consume directly influence their energy intake and dietary quality and may lead to excess weight gain and obesity. However, gathering and interpreting data on food and beverage purchase patterns can be difficult. Leveraging novel sources of data on food and beverage purchase behavior can provide us with a more objective understanding of food consumption behaviors. Objective: Food and beverage purchase receipts often include time-stamped location information, which, when associated with product purchase details, can provide a useful behavioral measurement tool. The purpose of this study was to assess the feasibility, reliability, and validity of processing data from fast-food restaurant receipts using crowdsourcing via Amazon Mechanical Turk (MTurk). Methods: Between 2013 and 2014, receipts (N=12,165) from consumer purchases were collected at 60 different locations of five fast-food restaurant chains in New Jersey and New York City, USA (ie, Burger King, KFC, McDonald's, Subway, and Wendy's). Data containing the restaurant name, location, receipt ID, food items purchased, price, and other information were manually entered into an MS Access database and checked for accuracy by a second reviewer; this was considered the gold standard. To assess the feasibility of coding receipt data via MTurk, a prototype set of receipts (N=196) was selected. For each receipt, 5 turkers were asked to (1) identify the receipt identifier and the name of the restaurant and (2) indicate whether a beverage was listed in the receipt; if yes, they were to categorize the beverage as cold (eg, soda or energy drink) or hot (eg, coffee or tea). Interturker agreement for specific questions (eg, restaurant name and beverage inclusion) and agreement between turker consensus responses and the gold standard values in the manually entered dataset were calculated. Results: Among the 196 receipts completed by turkers, the interturker agreement was 100% (196/196) for restaurant names (eg, Burger King, McDonald's, and Subway), 98.5% (193/196) for beverage inclusion (ie, hot, cold, or none), 92.3% (181/196) for types of hot beverage (eg, hot coffee or hot tea), and 87.2% (171/196) for types of cold beverage (eg, Coke or bottled water). When compared with the gold standard data, the agreement level was 100% (196/196) for restaurant name, 99.5% (195/196) for beverage inclusion, and 99.5% (195/196) for beverage types. Conclusions: Our findings indicated high interrater agreement for questions across difficulty levels (eg, single-vs binary-vs multiple-choice items). Compared with traditional methods for coding receipt data, MTurk can produce excellent-quality data in a lower-cost, more time-efficient manner.

Background: Flavored cigar sales have increased in recent years in the U.S. African American young adults (AAYAs) have high prevalence of smoking flavored cigars and dual use with cigarettes, but the predictors of use are unclear. We examined the predictors of flavored cigar smoking among AAYA dual users. Methods: We analyzed data from an Ecological Momentary Assessment (EMA) study that captured near real-time affect, smoking cues, and tobacco smoking from eight text-messaging surveys per day over two weeks. Sixty-three AAYA (ages 18-29) dual users of cigarettes and cigars recorded 1205 cigar smoking moments. Multivariable Generalized Estimating Equations were used to assess the predictors of smoking cigars with flavors and specific flavor types. Results: Half of the participants were women (49.2%) and aged between 18-24 (46.7%). Over the two-weeks, almost all (98.4%) participants smoked flavored cigars, and 64.2% of the cigars smoked were flavored. Alcohol (34.4%) was the most frequently smoked flavor type followed by sweet (23.4%) and mint (5.7%). Feeling stressed (AOR = 1.07) and bored (AOR = 1.10) predicted smoking alcohol flavors. Blunt smoking positively predicted smoking sweet flavors (AOR = 4.79), but negatively predicted smoking alcohol flavors (AOR = 0.40). Conclusions: Smoking flavored cigars, especially alcohol-flavored cigars, was prevalent among AAYA dual users in this study. This group might use specific flavors for different purposes including smoking blunts and boosting mood. Efforts to reduce cigar use need to tackle these risk factors and the increased marketing and low-cost pricing of cigars. A federal ban of cigar flavors might reduce the appeal of cigar products.

In the U.S., more than 80% of African-American smokers use mentholated cigarettes, compared to less than 30% of Caucasian smokers. The reasons for these differences are not well understood. To determine if genetic variation contributes to mentholated cigarette smoking, we performed an exome-wide association analysis in a multiethnic population-based sample from Dallas, TX (N = 561). Findings were replicated in an independent cohort of African Americans from Washington, DC (N = 741). We identified a haplotype of MRGPRX4 (composed of rs7102322[G], encoding N245S, and rs61733596[G], T43T), that was associated with a 5-to-8 fold increase in the odds of menthol cigarette smoking. The variants are present solely in persons of African ancestry. Functional studies indicated that the variant G protein-coupled receptor encoded by MRGPRX4 displays reduced agonism in both arrestin-based and G protein-based assays, and alteration of agonism by menthol. These data indicate that genetic variation in MRGPRX4 contributes to inter-individual and inter-ethnic differences in the preference for mentholated cigarettes, and that the existence of genetic factors predisposing vulnerable populations to mentholated cigarette smoking can inform tobacco control and public health policies.

Background: African American young adults are at high risk for dual use of cigarettes and cigars. Limited work has explored and characterized the reasons for use in this population and their relative importance for initiation and current smoking of these products.Method: Reasons for cigarette and cigar use were systematically explored and categorized using a mixed methods participatory approach called concept mapping. A series of in-person group sessions were held with 30 African American young adult (ages 18-29) current smokers of both cigarettes and cigars in Prince George's County, MD and Washington, DC. Participants brainstormed, sorted, rated, and interpreted their reasons for initiation and past 30-day use of cigarettes and cigars. A cluster map was generated using multi-dimensional scaling, and t-tests were used to explore differences in ratings by background characteristics.Results: Participants generated 64 reasons for smoking cigarettes and cigars, and categorized these reasons into six groups: emotions, urges, access, product characteristics, lifestyle, and outside pressure. Emotions and urges were the most important motivations for initiation and current smoking of both products. Product characteristics were significantly more important for cigar initiation and smoking than for cigarettes, and outside pressure was more important for current smoking of cigars than cigarettes. Ratings differed by gender, socioeconomic status, and smoking characteristics.Conclusions: Cigarette and cigar smoking have several overlapping motivations, but key differences were also found, most notably for product characteristics. The FDA's regulation of cigars and cigarettes should focus on addressing key characteristics appealing to young adults to curb dual use.