Advertising Exposure From Online and Offline Sources and Youth Tobacco Use: Findings From the Adolescents, Place, and Behavior Study.

INTRODUCTION: Tobacco use among adolescents is an ongoing public health concern. Youth tobacco use has been associated with advertising, from both online sources and retail environments. AIMS AND METHODS: This study examined associations between exposure to tobacco advertisements from tobacco retail outlets (TROs), internet, and social media sources and ever tobacco use among adolescents. Data were obtained from youth, aged 11-17 years (N = 401) from Richmond, VA. Bayesian index and group index models were fitted to estimate indices of exposure to (1) social media use, (2) tobacco ads on social media, and (3) TRO store visits and their association with ever tobacco use. The most important components of the exposure indices were also determined based on the index component weights from the Bayesian index models. RESULTS: In Bayesian index models of single exposures, each exposure index was significantly associated with tobacco use. In the best-fitting model, social media tobacco ads (odds ratio [OR] = 2.2; 95% credible interval [CI]: 1.2, 4.5) and TRO store visits (OR = 1.6; 95% CI: 1.1, 2.3) were significantly associated with ever tobacco use, as was older age (OR = 1.4; 95% CI: 1.2, 1.8). Index component weights revealed Snapchat ad frequency as the most important platform in the social media index and convenience stores as the most important type of store in the TRO index. CONCLUSIONS: Exposure to pro-tobacco advertisements on social media and visits to TROs are associated with adolescent ever tobacco use. Results provide support for policies that would restrict the promotion of tobacco products at TROs and on social media. Tobacco regulations and interventions targeting convenience stores and Snapchat may be warranted to reduce youth tobacco use. IMPLICATIONS: Current evidence provide support for policies that would restrict the promotion of tobacco products at TROs and on social media. Findings suggest that regulations and interventions that specifically target advertisements in convenience stores and on Snapchat may be currently warranted to reduce youth tobacco use.

The Impact of the COVID-19 Pandemic on Tobacco Treatment Program Implementation at National Cancer Institute-Designated Cancer Centers.

INTRODUCTION: The COVID-19 pandemic disrupted cancer screening and treatment delivery, but COVID-19's impact on tobacco cessation treatment for cancer patients who smoke has not been widely explored. AIMS AND METHODS: We conducted a sequential cross-sectional analysis of data collected from 34 National Cancer Institute (NCI)-designated cancer centers participating in NCI's Cancer Center Cessation Initiative (C3I), across three reporting periods: one prior to COVID-19 (January-June 2019) and two during the pandemic (January-June 2020, January-June 2021). Using McNemar's Test of Homogeneity, we assessed changes in services offered and implementation activities over time. RESULTS: The proportion of centers offering remote treatment services increased each year for Quitline referrals (56%, 68%, and 91%; p = .000), telephone counseling (59%, 79%, and 94%; p = .002), and referrals to Smokefree TXT (27%, 47%, and 56%; p = .006). Centers offering video-based counseling increased from 2020 to 2021 (18% to 59%; p = .006), Fewer than 10% of centers reported laying off tobacco treatment staff. Compared to early 2020, in 2021 C3I centers reported improvements in their ability to maintain staff and clinician morale, refer to external treatment services, train providers to deliver tobacco treatment, and modify clinical workflows. CONCLUSIONS: The COVID-19 pandemic necessitated a rapid transition to new telehealth program delivery of tobacco treatment for patients with cancer. C3I cancer centers adjusted rapidly to challenges presented by the pandemic, with improvements reported in staff morale and ability to train providers, refer patients to tobacco treatment, and modify clinical workflows. These factors enabled C3I centers to sustain evidence-based tobacco treatment implementation during and beyond the COVID-19 pandemic. IMPLICATIONS: This work describes how NCI-designated cancer centers participating in the Cancer Center Cessation Initiative (C3I) adapted to challenges to sustain evidence-based tobacco use treatment programs during the COVID-19 pandemic. This work offers a model for resilience and rapid transition to remote tobacco treatment services delivery and proposes a policy and research agenda for telehealth services as an approach to sustaining evidence-based tobacco treatment programs.

Evaluation of neighborhood deprivation and store characteristics in relation to tobacco retail outlet sales violations.

INTRODUCTION: Regulations of the sale of tobacco products to minors have been effective at reducing adolescent tobacco use overall. However, these efforts may not be uniformly enforced in all areas, creating uneven protection against adolescent smoking. Knowledge regarding factors associated with tobacco retail outlet (TRO) violations could help inform better enforcement strategies. METHODS: In this study, we used Bayesian index regression models to determine if tobacco sales to minors violations across Virginia (2012-2021) were related to store characteristics and neighborhood deprivation and identify geographic areas at significantly elevated risk for violations after adjusting for these factors. RESULTS: Results show that there were multiple factors associated with a higher likelihood of tobacco sales violations. Store type was an important factor, as grocery stores and pharmacies had significantly lowered likelihood of violations compared with convenience stores. Being located near another TRO was significantly associated with increased risk of sales to a minor. Neighborhood deprivation was also positively associated with TRO sales violations. Further, there were statistically higher likelihood of sales violations occurring in specific areas (e.g., southwest and southeast) of the state that were not explained by neighborhood deprivation and store attributes. CONCLUSIONS: Together, results highlight the need to better understand where and why TRO sales violations are occurring in order to improve efforts aimed at monitoring and remediating TRO sales violations.

An examination of social and environmental determinants of secondhand smoke exposure among non-smoking adolescents.

INTRODUCTION: Adolescents are at increased risk of secondhand smoke exposure (SHS) due to the limited control that they have over social and physical environments. Yet, knowledge regarding determinants of SHS among non-smoking adolescents is limited. This study identifies social and environmental factors associated with SHS among non-smoking adolescents. METHODS: To be included, parents and adolescents (aged 11-17 years) of the Adolescents, Place, and Behavior Study had to have completed surveys between March 2019 and May 2020. Adolescents had to have not reported smoking within the past 30 days and provided a saliva sample assayed for cotinine (≤3 ng/mL). A series of stepwise linear regression models were fit to the data to identify social and environmental determinants of SHS, using log-transformed salivary cotinine. RESULTS: Of the 105 adolescent and parent dyads included, 90.3% were African American, 26.9% of parents reported smoking, 33.3% resided in multi-unit housing, and 67.7% lived in homes where smoking was not permitted. Significant associations were found between parent tobacco use (ß=2.56, SE=0.98, p=0.0082) and residing in multi-unit housing (ß=1.72, SE=0.86, p=0.0460) with increased log-transformed cotinine levels among non-smoking adolescents. Adolescent age, gender, and race/ ethnicity, parental education, peer tobacco use, the number of adults and children in the home, average number of days of self-reported SHS within public spaces outside of the home, and home smoking policies were not significantly associated with cotinine. CONCLUSIONS: Results emphasize the importance of reducing secondhand smoke exposure by reducing parental smoking and altering exposures within social and home environments. Parental tobacco use and residential setting should be considered when developing interventions to reduce secondhand smoke exposure among non-smoking adolescents.

Vape Shop Owners/Managers' Opinions About FDA Regulation of E-Cigarettes.

INTRODUCTION: In the United States, prominent sources of vaping products are specialty vape shops, which are subject to Food and Drug Administration (FDA) regulation. This study interviewed vape shop owners/managers to assess: (1) reasons for entering into or engaging in vape shop retail; (2) personnel training, particularly with regard to FDA and state regulations; and (3) how existing regulations are perceived and the anticipated impact of future regulation. AIMS AND METHODS: The current study involved phone-based semi-structured interviews of 45 vape shop owners/managers in six metropolitan statistical areas (Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, and Seattle) during Summer 2018 as FDA regulations regarding minimum age verification, bans on product sampling, and health warnings (among others) were first being implemented. RESULTS: Vape shop owners/managers reported: (1) entering the industry with positive intentions for their customers, (2) training their personnel to adhere to regulations and provide good customer service, and (3) significant concerns about the impact of FDA regulations. With regard to the latter, participants reported mistrust of the intentions of the FDA regulations, financial implications of the regulations (particularly for small businesses), difficulty understanding and interpreting the regulations, insufficient evidence to support the regulations, negative impact on customer service, negative impact on product offerings and product innovation/advancement, and negative implications of flavor bans and/or restrictions on sale of flavors. CONCLUSIONS: These findings indicate the complexities in implementing tobacco regulations, particularly from the perspective of the vape shop industry. Current findings should inform future regulatory actions and efforts to assess compliance with regulations. IMPLICATIONS: Current and impending FDA regulation of vaping products present a critical period for examining regulatory impact on the vape shop industry. Current results indicated that many vape shop owners/managers reporting positive intentions for engaging in the vaping product industry and in training vape shop personnel to adhere to regulations. However, the majority reported concerns about FDA regulation and other state/local regulations that could have negative implications for their industry. Particular concerns include difficulty understanding the regulations due to complexity, vagueness, and changes in language and/or interpretation over time. These issues have implications for compliance that must be addressed.

Exploring the Point-of-Sale Among Vape Shops Across the United States: Audits Integrating a Mystery Shopper Approach.

INTRODUCTION: Vape shops represent prominent, unique retailers, subject to Food and Drug Administration (FDA) regulation in the United States. AIMS AND METHODS: This study assessed compliance of US vape shop retail marketing strategies with new regulations (eg, required age verification, prohibited free samples) and pre-implementation conditions for other regulations (eg, health warning labels on all nicotine products, required disclosures of e-liquid contents). RESULTS: 95.0% of shops displayed minimum-age signage; however, mystery shoppers were asked for age verification at 35.6% upon entry and at 23.4% upon purchase. Although 85.5% of shops had some evidence of implementing FDA health warnings, 29.1% had signage indicating prohibited health claims, 16.3% offered free e-liquid samples, 27.4% had signage with cartoon imagery, and 33.3% were within two blocks of schools. All shops sold open-system devices, 64.8% sold closed-system devices, 68.2% sold their own brand of e-liquids, 42.5% sold e-liquids containing cannabidiol, 83.2% offered price promotions of some kind, and 89.9% had signage for product and price promotions. CONCLUSIONS: Results indicated that most shops complied with some implementation of FDA health warnings and with free sampling bans and minimum-age signage. Other findings indicated concerns related to underage access, health claims, promotional strategies, and cannabidiol product offerings, which call for further FDA and state regulatory/enforcement efforts.

Vape shop owners'/managers' attitudes about CBD, THC, and marijuana legal markets.

Over the past decade in the US there have been marked pivotal changes in the policy and retail environment regarding cannabinoids, particularly cannabidiol (CBD) and delta-9-tetrahydrocannabinol (THC). Many vape shops may carry products relevant to these two markets. This study interviewed vape shop owners/managers to assess their perceptions of consumer interests/behaviors regarding CBD and THC and of the impact of legalized marijuana retail on vape shops. The current study involved phone-based semi-structured interviews of 45 vape shop owners/managers in six metropolitan statistical areas (MSAs; Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, and Seattle) during Summer 2018. Overall, 82.2% of participants were male, 77.8% were non-Hispanic White, 64.4% were managers, 8.9% reported past 30-day smoking, and 95.6% reported past 30-day vaping. Overall, 44.4% sold e-liquids containing CBD. Vape shop owners/managers indicated minimal perceived risk and some beliefs in therapeutic benefits of CBD products; however, there was a broader range of perspectives regarding marijuana retail and selling marijuana for recreational use. Some chose to distance themselves from marijuana products, their use, and the possibility of entering marijuana retail if it were to evolve in their state, while some indicated high levels of enthusiasm for the growing retail marijuana market. Future research should examine how vape shops and other retailers of CBD and marijuana communicate with consumers about products and modes of using such products, as well as how various industry sectors (e.g., vape shops) adapt or evolve with increasing regulation of nicotine and increasing legalization of marijuana retail.

Neighborhood Disadvantage and Tobacco Retail Outlet and Vape Shop Outlet Rates.

Neighborhood-level socioeconomic variables, such as the proportion of minority and low-income residents, have been associated with a greater density of tobacco retail outlets (TROs), though less is known about the degree to which these neighborhood indicators are related to vape shop outlet (VSO) density. Many studies of TROs and neighborhood characteristics include only a small set of variables and also fail to take into account the correlation among these variables. Using a carefully curated database of all TROs and VSOs in Virginia (2016-2018), we developed a Bayesian model to estimate a neighborhood disadvantage index and examine its association with rates of outlets across census tracts while also accounting for correlations among variables. Models included 12 census tract variables from the American Community Survey. Results showed that increasing neighborhood disadvantage was associated with a 63% and 64% increase in TRO and VSO risk, respectively. Important variables associated with TRO rates included % renter occupied housing, inverse median gross rent, inverse median monthly housing costs, inverse median monthly housing costs, and % vacant housing units. Important variables associated with VSO rates were % renter occupied housing and % Hispanic population. There were several spatial clusters of significantly elevated risk for TROs and VSOs in western and eastern Virginia.

Determinants of Youth-Reported Past 30-Day Tobacco Use.

The objective of this study was to utilize cross-sectional surveys to identify factors associated with past 30-day tobacco use among a sample youth and to determine whether regional differences exist. Data were obtained from the Virginia Youth Survey (2015 and 2017). Multinomial logistic regression models were used to examine associations between measures of past 30-day tobacco use and region, sex, grade, race/ethnicity, tobacco advertisement exposure, and presence of tobacco-free policies in the home and personal vehicles. These correlates were selected based upon existing literature on youth tobacco use. Past 30-day cigarette use, combustible tobacco use, non-combustible tobacco use, and dual product use were associated with region, sex, grade, and race/ethnicity. Specifically, youth residing in the Southwestern region of the state, males, and non-Hispanic White students and youth of other race/ethnicity were more likely to report past 30-day tobacco use. Additionally, higher levels of exposure to tobacco advertisements was also associated with past 30-day tobacco use. Future research needs to investigate the mechanisms by which youth tobacco use may differ by region, to help guide and target future policy and programming related to tobacco prevention and control at the local level.

Longitudinal Analysis of Associations Between Reasons for Electronic Cigarette Use and Change in Smoking Status Among Adults in the Population Assessment of Tobacco and Health Study.

INTRODUCTION: Electronic cigarette (ECIG) use and changes in cigarette smoking status may be influenced by self-reported reasons for using ECIGs. METHODS: We analyzed adult current and former cigarette smokers who were also current or former ECIG users at wave 1 (n = 3044) using wave 1 and wave 2 Population Assessment of Tobacco and Health Study data (2013-2015). Prevalence of reporting 13 reasons for ECIG use at wave 1 was examined and weighted logistic regressions were conducted predicting smoking status changes from wave 1 to wave 2. RESULTS: Reasons for ECIG use ranged from 18.1% (people in the media or public figures use them) to 82.5% (they might be less harmful to people around me than cigarettes). From wave 1 to wave 2, 27.2% of former smokers (n = 249) became current smokers and 11.6% of current smokers (n = 246) became former smokers. Among wave 1 former smokers, using ECIGs because of the availability of flavors (AOR = 0.57, 95% CI = 0.39-0.85) or because they don't smell (AOR = 0.64, 95% CI = 0.42-0.97) was associated with lower odds of relapse to smoking, but using ECIGs because using them helps people quit smoking (AOR = 1.55, 95% CI = 1.01-2.38) was associated with greater odds of relapse. Among wave 1 current smokers, using ECIGs because they can be used where smoking is not allowed (AOR = 0.56, 95% CI = 0.38-0.85) was associated with reduced odds of quitting cigarettes. CONCLUSIONS: Some reasons for ECIG use are associated with changes in self-reported smoking status. Researchers should examine ECIG user characteristics when assessing associations between ECIG use and smoking status transitions. IMPLICATIONS: Given that certain reasons for ECIG use, such as using ECIGs in locations are where smoking is not allowed, may inhibit smoking reduction, policies may be developed to prevent ECIG use in locations where smoking is banned. In addition, because certain reasons for ECIG use may aid in relapse prevention, such as availability of desired flavors, efforts should be made to identify ECIG device characteristics that are appealing to smokers but not youth or nontobacco users. These results provide support for future research on reasons for ECIG use to inform regulatory policies.

Teaching Medical Students to Help Patients Quit Smoking: Outcomes of a 10-School Randomized Controlled Trial.

BACKGROUND: Early in medical education, physicians must develop competencies needed for tobacco dependence treatment. OBJECTIVE: To assess the effect of a multi-modal tobacco dependence treatment curriculum on medical students' counseling skills. DESIGN: A group-randomized controlled trial (2010-2014) included ten U.S. medical schools that were randomized to receive either multi-modal tobacco treatment education (MME) or traditional tobacco treatment education (TE). SETTING/PARTICIPANTS: Students from the classes of 2012 and 2014 at ten medical schools participated. Students from the class of 2012 (N = 1345) completed objective structured clinical examinations (OSCEs), and 50 % (N = 660) were randomly selected for pre-intervention evaluation. A total of 72.9 % of eligible students (N = 1096) from the class of 2014 completed an OSCE and 69.7 % (N = 1047) completed pre and post surveys. INTERVENTIONS: The MME included a Web-based course, a role-play classroom demonstration, and a clerkship booster session. Clerkship preceptors in MME schools participated in an academic detailing module and were encouraged to be role models for third-year students. MEASUREMENTS: The primary outcome was student tobacco treatment skills using the 5As measured by an objective structured clinical examination (OSCE) scored on a 33-item behavior checklist. Secondary outcomes were student self-reported skills for performing 5As and pharmacotherapy counseling. RESULTS: Although the difference was not statistically significant, MME students completed more tobacco counseling behaviors on the OSCE checklist (mean 8.7 [SE 0.6] vs. mean 8.0 [SE 0.6], p = 0.52) than TE students. Several of the individual Assist and Arrange items were significantly more likely to have been completed by MME students, including suggesting behavioral strategies (11.8 % vs. 4.5 %, p < 0.001) and providing information regarding quitline (21.0 % vs. 3.8 %, p < 0.001). MME students reported higher self-efficacy for Assist, Arrange, and Pharmacotherapy counseling items (ps ≤0.05). LIMITATIONS: Inclusion of only ten schools limits generalizability. CONCLUSIONS: Subsequent interventions should incorporate lessons learned from this first randomized controlled trial of a multi-modal longitudinal tobacco treatment curriculum in multiple U.S. medical schools. NIH Trial Registry Number: NCT01905618.

Assessing Medical Students' Tobacco Dependence Treatment Skills Using a Detailed Behavioral Checklist.

UNLABELLED: CONSTRUCT: This article describes the development and implementation of an assessment intended to provide objective scores that would be valid indications of medical students' abilities to counsel patients about tobacco dependence. BACKGROUND: Assessing medical students' advanced communication skills, particularly in the context of providing tobacco-dependence treatment, consistently and accurately is challenging; doing so across multiple medical schools is even more difficult. APPROACH: Ten medical schools implemented a tobacco-dependence treatment case as part of an Objective Structured Clinical Examination for 3rd-year medical students. A 33-item checklist with detailed criteria and examples was developed for scoring students' performances. Trained coders viewed and coded 660 videotaped encounters; approximately 10% also were coded by the coding supervisor to check accuracy. RESULTS: Average time required to code an encounter was approximately 31 minutes; accuracy (i.e., agreement with the gold standard coder) was excellent. Overall, students performed an average of 1 in 4 of the 33 behaviors included on the checklist, and only 1 in 10 discussed setting a quit date. Most students (almost 9 in 10) asked how much the patient smoked in a day, and just over 7 in 10 informed the patient that the cough was due to smoking. CONCLUSIONS: The authors developed and implemented a rigorous assessment that will be used to evaluate medical students' tobacco-dependence treatment skills. Operationalizing the specific counseling behaviors, training coders to accurately capture students' performances using a structured checklist, and conducting the coding all required substantial time commitments but will provide confidence in the objectivity of the assessment results. In addition, this assessment can be used to provide formative information on medical students' tobacco-dependence treatment skills and to tailor ongoing training for medical students in this area.

Tobacco counseling experience prior to starting medical school, tobacco treatment self-efficacy and knowledge among first-year medical students in the United States.

OBJECTIVE: To explore students' tobacco dependence counseling experiences prior to medical school and their associations with tobacco counseling self-efficacy, and familiarity with and perceived effectiveness of tobacco dependence treatment among first-year medical students in the United States. METHOD: In 2010, 1266 first-year medical students from 10 US medical schools completed a survey reporting their clinical experiences with specific tobacco counseling skills (e.g., 5As) prior to medical school. The survey also included questions on tobacco counseling self-efficacy, perceived physician impact on smokers, and familiarity and effectiveness of tobacco-related treatments. RESULTS: Half (50.4%) reported some tobacco counseling experiences prior to medical school (i.e. at least one 5A). Students with prior counseling experiences were more likely to have higher tobacco counseling self-efficacy, and greater familiarity with medication treatment, nicotine replacement treatment, and behavioral counseling for smoking cessation, compared to those with no prior experiences. Perceived physician impact on patient smoking outcomes did not differ by prior tobacco counseling experiences. CONCLUSIONS: Many first-year medical students may already be primed to learn tobacco dependence counseling skills. Enhancing early exposure to learning these skills in medical school is likely to be beneficial to the skillset of our future physicians.

Medical school curriculum characteristics associated with intentions and frequency of tobacco dependence treatment among 3rd year U.S. medical students.

OBJECTIVE: Physicians play a critical role in addressing tobacco dependence, yet report limited training. Tobacco dependence treatment curricula for medical students could improve performance in this area. This study identified student and medical school tobacco treatment curricula characteristics associated with intentions and use of the 5As for tobacco treatment among 3rd year U.S. medical students. METHODS: Third year medical students (N=1065, 49.3% male) from 10 U.S. medical schools completed a survey in 2009-2010 assessing student characteristics, including demographics, tobacco treatment knowledge, and self-efficacy. Tobacco curricula characteristics assessed included amount and type of classroom instruction, frequency of tobacco treatment observation, instruction, and perception of preceptors as role models. RESULTS: Greater tobacco treatment knowledge, self-efficacy, and curriculum-specific variables were associated with 5A intentions, while younger age, tobacco treatment self-efficacy, intentions, and each curriculum-specific variable were associated with greater 5A behaviors. When controlling for important student variables, greater frequency of receiving 5A instruction (OR=1.07; 95%CI 1.01-1.12) and perception of preceptors as excellent role models in tobacco treatment (OR=1.35; 95%CI 1.04-1.75) were significant curriculum predictors of 5A intentions. Greater 5A instruction (B=.06 (.03); p<.05) and observation of tobacco treatment (B=.35 (.02); p<.001) were significant curriculum predictors of greater 5A behaviors. CONCLUSIONS: Greater exposure to tobacco treatment teaching during medical school is associated with both greater intentions to use and practice tobacco 5As. Clerkship preceptors, or those physicians who provide training to medical students, may be particularly influential when they personally model and instruct students in tobacco dependence treatment.

Tobacco Use, Quitting Behavior, and Health Characteristics Among Current Electronic Cigarette Users in a National Tri-Ethnic Adult Stable Smoker Sample.

INTRODUCTION: The present study characterizes the tobacco use, quitting behaviors, and health characteristics of cigarette smokers who did not change their smoking pattern over the past 6 months and have used electronic cigarettes (ECs) in the past 30 days. This is an important subpopulation to characterize if EC dual use with cigarettes continues to grow. METHODS: Participants (N = 2,376) from a research survey panel completed an online cross-sectional survey between June and August 2012. Sampling was stratified to recruit equal numbers of cigarette smoking participants by race/ethnicity (Black, Hispanic, and Caucasian) and smoking frequency (nondaily and daily). All displayed a stable rate of smoking for the past 6 months and were not currently in treatment. Bivariate and multivariate analyses were used to examine correlates of current EC use (any use within the past 30 days). RESULTS: Current EC use was reported by 9.2% (n = 219) of the total sample. Of current EC users, 44% reported having used ECs as a quit method. Bivariate and multivariate analyses showed that current EC use was significantly associated with greater nicotine dependence, concurrent poly-tobacco use, more past-year quit attempts, past use of multiple cessation methods, and more depressive symptoms. No demographic variables were significantly associated with current EC use. CONCLUSIONS: This study suggests that stable smokers who currently use ECs possess characteristics that are associated with difficulty in achieving smoking cessation. These characteristics should be considered when examining the effectiveness of ECs on cessation and in designing future cessation trials using ECs.

A research agenda for gender and substance use disorders in the emergency department.

For many years, gender differences have been recognized as important factors in the etiology, pathophysiology, comorbidities, and treatment needs and outcomes associated with the use of alcohol, drugs, and tobacco. However, little is known about how these gender-specific differences affect ED utilization; responses to ED-based interventions; needs for substance use treatment and barriers to accessing care among patients in the ED; or outcomes after an alcohol-, drug-, or tobacco-related visit. As part of the 2014 Academic Emergency Medicine consensus conference on "Gender-Specific Research in Emergency Care: Investigate, Understand and Translate How Gender Affects Patient Outcomes," a breakout group convened to generate a research agenda on priority questions related to substance use disorders.

Teaching tobacco dependence treatment and counseling skills during medical school: rationale and design of the Medical Students helping patients Quit tobacco (MSQuit) group randomized controlled trial.

INTRODUCTION: Physician-delivered tobacco treatment using the 5As is clinically recommended, yet its use has been limited. Lack of adequate training and confidence to provide tobacco treatment is cited as leading reasons for limited 5A use. Tobacco dependence treatment training while in medical school is recommended, but is minimally provided. The MSQuit trial (Medical Students helping patients Quit tobacco) aims to determine if a multi-modal and theoretically-guided tobacco educational intervention will improve tobacco dependence treatment skills (i.e. 5As) among medical students. METHODS/DESIGN: 10 U.S. medical schools were pair-matched and randomized in a group-randomized controlled trial to evaluate whether a multi-modal educational (MME) intervention compared to traditional education (TE) will improve observed tobacco treatment skills. MME is primarily composed of TE approaches (i.e. didactics) plus a 1st year web-based course and preceptor-facilitated training during a 3rd year clerkship rotation. The primary outcome measure is an objective score on an Objective Structured Clinical Examination (OSCE) tobacco-counseling smoking case among 3rd year medical students from schools who implemented the MME or TE. DISCUSSION: MSQuit is the first randomized to evaluate whether a tobacco treatment educational intervention implemented during medical school will improve medical students' tobacco treatment skills. We hypothesize that the MME intervention will better prepare students in tobacco dependence treatment as measured by the OSCE. If a comprehensive tobacco treatment educational learning approach is effective, while also feasible and acceptable to implement, then medical schools may substantially influence skill development and use of the 5As among future physicians.

Recent increases in efficiency in cigarette nicotine delivery: implications for tobacco control.

INTRODUCTION: Recent increases in nicotine yield of cigarettes sold in the United States have been attributed by tobacco manufacturers to natural variation in agricultural products. We tested this assertion using data reported by the manufacturers. METHODS: Data were collected from the annual reports filed with the Massachusetts Department of Public Health by 4 major manufacturers of cigarettes from 1997 to 2012. Reportable measures included nicotine yield (mg/cig) in smoke generated by a smoking machine based on the Massachusetts smoking regimen and nicotine content in the unburned tobacco per cigarette (mg/cig). We used multilevel linear mixed-effect models to examine temporal trends in and predictors of these measures, overall and by brand style and by brand family. RESULTS: While nicotine content remained relatively stable in the range of 12-14 mg/cig between 1998 and 2012, average nicotine yield increased significantly (p < .01) over time and ranged from the lowest level of 1.65 mg/cigarette in 1999 to the highest level of 1.89 mg/cigarette in 2011. Nicotine yield and yield-to-content ratio varied significantly among manufacturers and brand families. When controlling for market category and all available design features, the yield-to-content ratio of all manufacturers except Lorillard increased significantly over time. CONCLUSIONS: The data provided by tobacco manufacturers suggest that the increasing trend in yield is not related to variations in nicotine content but to the yield-to-content ratio, which contradicts their assertions of agricultural variations. Nicotine yield and yield-to-content ratio are controllable features of cigarettes, and they should be monitored and regulated by government agencies.

Cotinine and tobacco-specific carcinogen exposure among nondaily smokers in a multiethnic sample.

BACKGROUND: Nondaily smoking has increased among current U.S. smokers during the past decade and is practiced by a significant percentage of smokers. Although research in nondaily smoking has grown, little is known about levels of exposure to tobacco toxicants among nondaily smokers and their variation across ethnic groups. METHODS: We examined urinary levels of cotinine and a tobacco-specific nitrosamine (NNAL) in community participants. Associations between the biomarker data and smoking characteristics were evaluated with Spearman's correlation analysis. RESULTS: Participants included 28 Blacks, 4 Latinos, and 25 Whites who smoked at least 1 cigarette on 4-24 days in the past 30 days. Participants averaged 3.3 (SD = 2.1) cigarettes per day (cpd) on days smoked, they smoked an average of 13.0 (SD = 5.4) days in the past month, and they smoked nondaily for 10.5 (SD = 10.5) years. Median levels of creatinine-normalized cotinine and NNAL were 490.9 ng/mg and 140.7 pg/mg, respectively. NNAL and cotinine were highly correlated (r = .84); NNAL and cotinine were modestly correlated with cpd (r = .39 and r = .34; all p values <.05). The number of days smoked per month was not associated with any biomarker levels. CONCLUSIONS: Our findings demonstrate that nondaily smokers are, on average, exposed to significant levels of nicotine and carcinogenic nitrosamines, with exposures of 40%-50% of those seen in daily smokers. This level of exposure suggests a significant health risk. Nicotine and carcinogen exposure is most closely related to number of cigarettes smoked per day but not to number of days per month of smoking.

Tobacco dependence treatment teaching by medical school clerkship preceptors: survey responses from more than 1,000 US medical students.

OBJECTIVE: To determine factors associated with tobacco cessation counseling in medical school clerkships. METHODS: Third-year medical students at 10 medical schools across the United States completed a 100-item survey, measuring the frequency with which they experienced their preceptors providing clinical teaching components: clear instruction, feedback, modeling behavior, setting clear objectives, and responding to questions about tobacco dependence counseling as well as frequency of use of tobacco prompts and office systems. Our primary dependent measure was student self-reported skill level for items of tobacco dependence treatment (e.g. "5As"). RESULTS: Surveys were completed by 1213 students. For both family medicine and internal medicine clerkships, modeling and providing clear instruction on ways to provide tobacco counseling were reported most commonly. In contrast, providing feedback and clear objectives for tobacco dependence treatment lagged behind. Overall, students who reported preceptors' provision of optimal clinical teaching components and office system prompts in both family medicine and internal medicine clerkships had higher self-reported skill (P<0.001) than students with no exposure or exposure during only one of the clerkships. CONCLUSIONS: Future educational interventions intended to help students adopt effective tobacco dependence treatment techniques should be engineered to facilitate these critical precepting components.