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.

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.

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.

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.

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.

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.

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.

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.

Differences between Latino daily light and heavier smokers in smoking attitudes, risk perceptions, and smoking cessation outcome.

INTRODUCTION: Daily light smoking is increasing and disproportionately represented among Latinos. The current study examines differences in smoking attitudes, psychosocial characteristics, risk perceptions, and cessation rates between Latino daily light (3-9 cigarettes/day) and heavier smokers (≥ 10 cigarettes/day). METHODS: Participants (N = 131; M(age) = 36.8, 73.3% female, 53.1% light smokers) were enrolled in a study focused on motivating smokers to quit. Cessation was biochemically verified at 2 and 3 months after end of treatment. RESULTS: Heavier smoking was more prevalent among males (65.7%) and those from Puerto Rico (69.0%). Compared with heavier smokers, light smokers were less nicotine dependent (p < .001), reported fewer pros of smoking (p ≤ .001), less perceived stress (p ≤ .001), had fewer friends who smoked (p ≤ .005), were more likely to live in a household with an indoor smoking ban (p ≤ .001), and self-reported better health (p < .05). Regarding risk perceptions, Latino light smokers reported less perceived vulnerability for the health effects from smoking on their child's health (p < .05). There were no significant differences in smoking cessation rates between daily light and heavier smokers at either 2- or 3-month follow-up. Belief that quitting would improve "their own health," however, significantly predicted smoking cessation at both 2- and 3-month follow-up, but only among heavier smokers. CONCLUSIONS: Latino light smokers do not seem to be more likely to quit smoking than Latinos who smoke at heavier rates. Differences between Latino light and heavier smokers in demographics, smoking attitudes, and psychosocial factors may need to be considered when developing cessation programs and mass media campaigns. Future research should continue to explore whether Latino light smokers need different or more targeted treatments.

Smoking status, physical health-related quality of life, and mortality in middle-aged and older women.

INTRODUCTION: Women who smoke, particularly older women, have been relatively neglected in smoking research. There is a lack of knowledge concerning the relation of level of smoking to quality of life and mortality among middle-aged and older women smokers. METHODS: This study examined the relation of smoking status to physical health-related quality of life (PHRQL) and total mortality in women in the Women's Health Initiative (WHI) Observational Study. Participants were 90,849 postmenopausal women, who were an average age of 63.6 years at baseline. Analyses used multiple linear and Cox proportional hazards regression and controlled for age, educational level, and ethnicity. Never-smokers were the reference group. RESULTS: We found that smoking status was significantly related to PHRQL cross-sectionally at baseline and prospectively at a 3-year follow-up, with those who smoked having lower PHRQL. Heavier smokers showed large, clinically meaningful associations with PHRQL and light smokers showed small associations. In addition, we found that the smoking status at baseline was significantly related to 10-year total mortality. Both light and heavier smoking at baseline significantly correlated with higher mortality risk; however, the relationship of smoking to mortality was dose dependent. Among former smokers, those who had smoked longer showed significantly lower PHRQL and significantly increased mortality risk. CONCLUSIONS: Findings suggest that the risks of smoking may not be evident to light smokers and that educational interventions targeted to middle-aged and older women stressing the consequences of light smoking may be particularly beneficial.

Motivational Interviewing Education in North American Family Medicine Clerkships: A CERA Study.

BACKGROUND AND OBJECTIVES: Many health conditions are preventable or modifiable through behavioral changes. Motivational interviewing (MI) is an evidence-based communication technique that explores a patient's reasons for behavioral changes. This study assesses the current landscape of MI training in North American Family Medicine (FM) clerkships. METHODS: We analyzed data gathered as part of the 2022 Council of Academic Family Medicine's Educational Research Alliance (CERA) survey of FM clerkship directors (CDs). The survey was distributed via email invitation to 159 US and Canadian FM CDs in June 2022. RESULTS: Of the 94 responses received, 61% indicated that MI training is provided in their FM clerkship. Medical school type, class size, and location were associated with MI training priority, offerings, and duration in the clerkship, respectively. CD experience correlated with MI training duration; student MI skill training level was associated with MI training duration and priority; the rigor of student MI skills evaluation was correlated with MI teaching methods and training duration; self-reported student MI competency was associated with the length of time students spent with FM community preceptors as well as MI training priority and teaching methods; and several items emerged as predictors of student, CD, and FM faculty MI training expansion. CONCLUSIONS: Opportunities exist to enhance the volume, content, and rigor of MI training in North American FM clerkships as well as to improve self-reported student MI competency within those clerkships.

Smoking frequency among current college student smokers: distinguishing characteristics and factors related to readiness to quit smoking.

Given the increased prevalence of non-daily smoking and changes in smoking patterns, particularly among young adults, we examined correlates of smoking level, specifically motives for smoking, and readiness to quit smoking among 2682 college undergraduates who completed an online survey. Overall, 64.7% (n = 1736) were non-smokers, 11.6% (n = 312) smoked 1-5 days, 10.5% (n = 281) smoked 6-29 days and 13.2% (n = 353) were daily smokers. Ordinal regression analyses modeling smoking level indicated that correlates of higher smoking level included having more friends who smoke (ß = 0.63, 95% CI 0.57-0.69) and more frequent other tobacco use (ß = 0.04, 95% CI 0.02-0.05), drinking (ß = 0.04, 95% CI 0.02-0.07) and binge drinking (ß = 0.09, 95% CI 0.06-0.13). Bivariate analyses indicated that daily smokers (versus the subgroups of non-daily smokers) were less likely to smoke for social reasons but more likely to smoke for self-confidence, boredom, and affect regulation. Controlling for sociodemographics, correlates of readiness to quit among current smokers included fewer friends who smoke (P = 0.002), less frequent binge drinking (P = 0.03), being a social smoker (P < 0.001), smoking less for self-confidence (P = 0.04), smoking more for boredom (P = 0.03) and less frequent smoking (P = 0.001). Specific motives for smoking and potential barriers to cessation particularly may be relevant to different groups of college student smokers.

Depressive symptoms and smoking in middle-aged and older women.

INTRODUCTION: Smoking research and intervention efforts have neglected older women. Depressive symptoms, which are common in middle-aged and older women, are related to the maintenance of adult smoking. METHODS: This study investigated the relation of a composite measure of current depressive symptoms, derived from a short form of the Center for Epidemiological Studies Depression Scale, and history of depressive symptoms, derived from two items from the Diagnostic Interview Schedule, to smoking outcomes in the Women's Health Initiative Observational Study (N = 90,627). Participants were postmenopausal with an average age of 63.6 years at baseline. Participants were recruited from urban, suburban, and rural areas surrounding 40 clinical centers in the United States. Analyses controlled for age, educational level, and ethnicity. RESULTS: In multinomial logistic regression analyses, depressive symptoms were related cross-sectionally to current light (odds ratio [OR] = 1.19, 95% CI = 1.14-1.23) and heavier (OR = 1.28, 95% CI = 1.23-1.32) smoking at baseline compared with nonsmokers. In prospective multiple logistic regression analyses, baseline depressive symptoms were negatively predictive of smoking cessation at a 1-year follow-up (OR = .85, 95% CI = 0.77-0.93) and at participants' final assessments in the study (OR = .92, 95% CI = 0.85-0.98). Light smokers had more than 2 times higher odds of smoking cessation than did heavier smokers. CONCLUSIONS: The present findings demonstrate a consistent link between depressive symptoms and negative smoking-related behaviors among middle-aged and older women at both light and heavier smoking levels.

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.