Search

Introduction: Current measures of vaping behaviors in the U.S. do not distinguish what substances participants are vaping and to what extent they are dual-vaping nicotine and cannabis. This study describes the use of new survey questions that more specifically ask whether participants who vape are vaping nicotine, cannabis, cannabidiol (CBD), or another substance., Aims and Methods: Adults, who reported any past 30-day tobacco use, from five New England states participated in an online survey from April 2021 to July 2022. Participants who vaped were asked, "Have you used any of the following vape substances in the past 30 days?" with the possible responses of nicotine, cannabis, CBD, other, and "don't know." Dual use of both nicotine and cannabis was defined as the vaping of both nicotine and cannabis and/or CBD in the past 30 days, operationalized as a dichotomous outcome. Data were collected in monthly, repeated cross-sectional waves. Multinomial logistic regression was used to examine correlates of dual-vaping., Results: The analytic sample included 1547 adults who reported past 30-day tobacco use (mean age 42.9 years, 62.8% female, 85.4% White, 48.5% income of less than $50 000). Over one-quarter (26.1%) reported dual-vaping in the past 30 days. Identifying as male (p = .002) and self-rated anxiety (p = .043) were associated with a higher odds of dual-vaping., Conclusions: Our findings show that a sizable proportion of a sample of New England adults who have used tobacco in the past 30 days are dual-vaping nicotine and cannabis. Adequate survey measures for assessing the vaping of multiple substances can help in better screening and characterization of health behaviors around dual-use., Implications: This study addresses a key gap in adequate survey measures for assessing vaping of multiple substances. We found that among adults with past 30-day tobacco use, dual-vaping was prevalent and associated with different correlates, such as self-reported anxiety and education level, compared to sole-vaping of nicotine or cannabis. Our findings may help in characterizing and targeting future population-level surveillance and intervention efforts for multiple substance use behaviors., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Introduction: Increasing electronic cigarette use among youth has led to a need for a novel intensity measure of e-cigarette use and its association with nicotine addiction variables., Aims and Methods: Using a cross-sectional study of the 2018-2019 PATH Wave 5 Youth survey, a new intensity metric of e-cigarette use, the average number of puffs per month as a function of frequency (days of use per month), number of uses per day and number of puffs per use, was developed for adolescent e-cigarette users. Using logistic regression, standard addiction measures were tested for association with higher quartile (Q) of e-cigarette intensity: Q1 (1-5 puffs), Q2 (6-50 puffs), Q3 (51-528 puffs), and Q4 (529 + puffs)., Results: Among 1051 current youth e-cigarette users, cravings were associated with greater intensity of use (Q2: aOR = 1.90, 95% CI: 0.94-3.87; Q3: aOR = 6.91, 95% CI: 3.25-14.69; and Q4: aOR = 21.48, 95% CI: 10.03-45.97). Craving associations exceeded the corresponding aORs for the identical regression using the frequency of use. Higher intensity was significantly associated with being an older adolescent (aOR = 1.85), best friend use (aOR: 3.35), not thinking about quitting (aOR: 2.51), and lower perceived addiction (aOR: 1.95)., Conclusions: This study found that an intensity metric (puffs per month) was strongly associated with cravings, best friend use, harm perception, and lack of intention to quit. This metric provides a more accurate picture of the intensity of youth e-cigarette use than other commonly used measures and may be important for understanding the current and future impact of the youth e-cigarette epidemic., Implications: Adolescent addiction to e-cigarettes affects learning, memory, and attention. However, it is unknown whether the intensity of use, puffs per month, differs from frequency, days of use per month, and in relation to addiction measures. This study provides evidence that high-intensity use characterized by puffs per month has a stronger association with cravings compared to frequency, which suggests puffs per month may be a better measure of nicotine exposure. This new intensity metric may give insights into youth e-cigarette use patterns, addiction, and appropriate treatment of intense but intermittent users., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Introduction: The Massachusetts legislature passed An Act Modernizing Tobacco Control in November 2019 to restrict retail sales of flavored commercially manufactured tobacco products including menthol products, increase penalties for violating the law's provisions, and provide health insurance coverage for tobacco treatment., Aims and Methods: This study explores key informants' perceptions of intended and unintended impacts of implementation of the 2019 Massachusetts statewide law through a health equity and racial justice lens. We conducted in-depth interviews with 25 key informants from three key informant groups (public health officials and advocates, clinicians, and school staff) between March 2021 and April 2022. Using deductive codes on unintended impacts of the implementation of the law's policies, we conducted a focused analysis to identify impacts that were perceived and observed by informants from different key informant groups., Results: Perceived or observed impacts of the law were identified across multiple levels by key informants and included concerns related to three broad themes: 1) intended impacts on health equity and racial justice, 2) ongoing availability of restricted products undermining the intended impact of the law, and 3) inequitable targeting by the policies and enforcement among communities of color., Conclusions: Future evaluation is needed to assess the intended and unintended impacts of implementation of the Massachusetts law to maximize the potential of the policies to reduce tobacco-related health disparities. We discuss implications and recommendations for achieving a national policy and equitable enforcement of flavored tobacco sales restrictions., Implications: This qualitative study among 25 key informants including public health and tobacco control advocates, clinicians, and school staff obtained perspectives of intended and unintended health equity and racial justice impacts of the 2019 Massachusetts An Act Modernizing Tobacco Control. Findings and recommendations from this study can inform monitoring efforts to assess the law's impacts in Massachusetts and the adoption of similar flavored tobacco sales restrictions and other tobacco control policies in other states to maximize the health equity benefits and minimize unintended impacts., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco.)

We assessed vaping behaviors, environments, COVID-19 influences, and barriers and facilitators of existing approaches that address adolescent vaping in Massachusetts middle and high schools. Findings from this study will provide considerations for individual schools or districts as they advance adolescent vaping prevention and treatment efforts. We analyzed 310 open-ended comments from Massachusetts school administrators who completed a survey between November 2020 and January 2021. Further, we analyzed nine semi-structured interviews with administrators (e.g., principals, vice principals, school nurses) from Massachusetts school systems (n = 6) and school-based anti-tobacco advocates (n = 3); interviews took place between May and December 2021. Informed by Green's PRECEDE model, we conducted a framework analysis using deductive codes based on the model constructs (enabling, reinforcing, and predisposing factors) and inductive codes of key themes emerging from the interviews. Challenges to addressing adolescent vaping included staff capacity, funding, and lack of mental health and counseling supports. The COVID-19 pandemic was a major barrier to conducting usual in-person vaping programs, but also reduced student vaping at school due to new social distancing practices and bathroom use policies. Facilitators of vaping interventions included peer-led initiatives and parental involvement. Participants discussed the importance of educating adolescents on the harms of vaping and the move toward alternatives-to-suspension programs rather than disciplinary action. School-based anti-vaping program implementers-such as school districts, state departments of education, or local health departments-will need to leverage facilitators such as peer-led initiatives, alternatives-to-suspension approaches, and parental involvement, to increase the potential impact of these programs., (© Society of Behavioral Medicine 2023. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: This study sought to examine reasons for youth e-cigarette use in association with vaping patterns and cessation behaviors., Aims and Methods: A national representative sample of current (past 30-day) e-cigarette users in grades 6-12 was analyzed using the National Youth Tobacco Survey (NYTS), conducted from January to March 2020. An exploratory oblique factor analysis using a rotated pattern matrix to select salient variable-factor relationships yielded four subscales related to reasons for youth e-cigarette use. Multivariate logistic regressions were performed to assess the associations of each subscale with vaping patterns (frequent e-cigarette use, dual use of e-cigarettes and other tobacco products) and vaping cessation behaviors (intention to quit vaping and past-year quit attempts)., Results: The 2020 NYTS sampled 180 schools with 1769 current e-cigarette users. Four main reasons for vaping were identified through factor analysis, including (1) replacing cigarettes, (2) product characteristics [eg, flavors, concealability, and vape tricks], (3) family/friend use, and (4) curiosity. Curiosity was associated with lower odds of frequent e-cigarette use (adjusted odds ratio [AOR] = 0.5, p < .0001) and dual use of e-cigarettes and other tobacco products (AOR = 0.6, p = .01) but higher odds of intention to quit (AOR = 1.2, p = .26) and past year quit attempts (AOR =1.5, p = .01). Vaping due to product characteristics was associated with higher odds of frequent e-cigarette use (AOR = 1.7, p < .0001) and lower odds of intention to quit (AOR = 0.3, p < .0001) and past year quit attempts (AOR = 0.9, p = .01)., Conclusions: Adolescents vape for various reasons that follow distinct patterns and user characteristics. Overall, interventions tailored to address heterogeneous reasons for vaping may help optimize the reduction in youth e-cigarette use., Implications: E-cigarettes have surpassed cigarettes and become the most commonly used tobacco product by US youths. Adolescents choose to vape for different reasons. This study examined reasons for youth e-cigarette use and their associations with vaping patterns and cessation behaviors. The product characteristics factor (eg, flavors, concealability, and vape tricks) was associated with more frequent e-cigarette use and lower odds of cessation behaviors, suggesting a need for flavor bans and product design regulation., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: Compared with the general smoking population, low-income smokers face elevated challenges to success in evidence-based smoking cessation treatment. Moreover, their children bear increased disease burden. Understanding behavioral mechanisms related to successful reduction of child tobacco smoke exposure (TSE) could inform future smoking interventions in vulnerable, underserved populations., Methods: Smoking parents were recruited from pediatric clinics in low-income communities and randomized into a multilevel intervention including a pediatric clinic intervention framed in best clinical practice guidelines ("Ask, Advise, Refer" [AAR]) plus individualized telephone counseling (AAR + counseling), or AAR + control. Mediation analysis included treatment condition (independent variable), 12-month child cotinine (TSE biomarker, criterion), and four mediators: 3-month end-of-treatment self-efficacy to protect children from TSE and smoking urge coping skills, and 12-month perceived program (intra-treatment) support and bioverified smoking abstinence. Analyses controlled for baseline nicotine dependence, depressive symptoms, child age, and presence of other residential smokers., Results: Participants (n = 327) included 83% women and 83% African Americans. Multilevel AAR + counseling was associated with significantly higher levels of all four mediators (ps < .05). Baseline nicotine dependence (p < .05), 3-month self-efficacy (p < .05) and 12-month bioverified smoking abstinence (p < .001) related significantly to 12-month child cotinine outcome. The indirect effects of AAR + counseling intervention on cotinine via self-efficacy for child TSE protection and smoking abstinence (ps < .05) suggested mediation through these pathways., Conclusions: Compared with AAR + control, multilevel AAR + counseling improved all putative mediators. Findings suggest that fostering TSE protection self-efficacy during intervention and encouraging parental smoking abstinence may be key to promoting long-term child TSE-reduction in populations of smokers with elevated challenges to quitting smoking., Implications: Pediatric harm reduction interventions to protect children of smokers from tobacco smoke have emerged to address tobacco-related health disparities in underserved populations. Low-income smokers experience greater tobacco-related disease burden and more difficulty with smoking behavior change in standard evidence-based interventions than the general population of smokers. Therefore, improving knowledge about putative behavioral mechanisms of smoking behavior change that results in lower child exposure risk could inform future intervention improvements., (Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco 2019.)

Addressing parental smoking in the child healthcare setting improves the health of all family members. Innovative approaches, such as mobilizing technology-based platforms, may streamline screening and motivate acceptance of behavioral health services to treat tobacco use and dependence. The obective of this study was to describe innovations added to the CEASE intervention and to track 2 year post-intervention implementation data on families who were screened for tobacco use. Child healthcare practices in five states (IN, NC, OH, TN, and VA) used an electronic tablet screener to identify tobacco use within families and deliver tobacco cessation assistance to smokers. Motivational/educational videos on cessation were displayed via the screener to enhance its utility. Five CEASE intervention practices screened 50,111 family members for tobacco use and identified 6,885 families with children exposed to tobacco smoke. The mean number of screeners per practice per month was 417; the mean number of households with smokers identified per month was 57. Of 2,764 smokers who were at visits and consented, 57% indicated that they wanted a prescription to reduce or quit smoking; 94% of these were given preprinted prescriptions. Of 41% who requested connection to the quitline, 93% were given enrollment forms. Electronic screening was used to routinely identify tobacco users, leading to increased potential for offering cessation assistance to all household members who smoke. Improved delivery of smoking cessation services to families may be achieved by integrating technological innovations into routine pediatric practice. CLINICAL TRIALS REGISTRATION: Trial Number NCT01882348., (© Society of Behavioral Medicine 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: National and international organizations have done an excellent job of advocating and promoting breast feeding for all mothers. This study assessed to what extent an intervention increased delivery of cessation assistance to breast-feeding mothers who smoke., Methods: Data were collected between April and October 2015 in five US states as part of a cluster randomized controlled trial in 10 pediatric practices. Practices were randomized to the Clinical Effort Against Secondhand Smoke Exposure (CEASE) intervention or usual care control arms. Mothers were asked about their smoking status and breast-feeding history during a screening interview upon exiting the practice and eligible mothers who agreed to participate in an enrollment interview were asked if they received smoking cessation assistance during their child's visit. Mothers with a child 1 year old and younger were included in the analyses., Results: Current breast feeding was associated with a reduced likelihood of current smoking (adjusted odds ratio [aOR] = 0.38, 95% confidence interval [95% CI] = 0.25 to 0.57) and a greater likelihood of quitting smoking (aOR = 2.33, 95% CI = 1.29 to 4.21) after controlling for known confounders. Mothers who concurrently smoked and breast-fed were more likely to be asked about smoking (66.7% vs. 28.6%, p = .01), advised to quit (61.1% vs. 21.4%, p < .01), prescribed nicotine replacement therapy (50.0% vs. 0%, p < .001), and enrolled into the quitline (27.8% vs. 0%, p < .01) at CEASE practices compared to control practices., Conclusion: Breast-feeding mothers were less likely to be current smokers and more likely to have recently quit smoking. Among mothers who continue to smoke and breast feed, the CEASE intervention enhances delivery of smoking cessation assistance., Implications: Breast feeding and eliminating infants' exposure to tobacco smoke are important protective factors for serious pediatric health risks including sudden infant death. This study shows that breast feeding was positively associated with desirable tobacco control outcomes, specifically that breast feeding was associated with a lower likelihood of smoking among ever smokers and a greater likelihood of recently quitting smoking. This is also the first study to look specifically at delivery of smoking cessation assistance to breast-feeding mothers seen at pediatric offices and demonstrates the effectiveness of delivering evidence-based smoking cessation assistance to them in this context., Trial Registration: www.ClinicalTrials.gov (identifier NCT01882348)., (© The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Cancer survivors are a rapidly growing population and an important target for tobacco treatment interventions. Continued smoking after the diagnosis of cancer is associated with a higher risk of cancer recurrence and mortality. Systematic tobacco cessation programs are effective. This study surveyed American College of Surgeons Commission on Cancer (CoC) programs in the Northeast region of the USA regarding their tobacco control programs. Seventy percent of cancer survivors are treated within CoC programs. The purpose of this study was to describe the extent of implementation of tobacco treatment and determine the organizational delivery of tobacco treatment as measured by the presence of goals to address smoking, leadership support, and integration of tobacco treatment guidelines into care delivery. Data were collected by a survey. The Assessment of Chronic Illness Care questionnaire was used to collect data on implementation of tobacco treatment services. Descriptive statistics were used to analyze the data. Most programs (78.6%) had an electronic health record and of these 68% captured smoking status. Implementation of tobacco treatment was not optimal for identifying smokers, providing patients with community linkages or self-care cessation support. Implementation of decision aides for pharmacotherapy and reassessment of smoking status were the least developed areas. Moreover, the organizational delivery for tobacco treatment was less than optimal. Many cancer programs have not implemented systems to deliver optimal tobacco treatment. Efforts should be made to help cancer programs develop sustainable system-wide programs that address the urgent need to deliver tobacco treatment to all cancer survivors.

Introduction: In 2012, the Boston Housing Authority (BHA) in Massachusetts implemented a smoke-free policy prohibiting smoking within its residences. We sought to characterize BHA resident experiences before and after the smoke-free policy implementation, and compare them to that of nearby residents of the Cambridge Housing Authority, which had no such policy., Methods: We recruited a convenience sample of nonsmoking residents from the BHA and Cambridge Housing Authority. We measured residents' awareness and support of their local smoking policies before and 9-12 months after the BHA's policy implementation, as well as BHA respondents' attitudes towards the smoke-free policy. We assessed tobacco smoke exposure via saliva cotinine, airborne apartment nicotine, and self-reported number of days smelling smoke in the home. We evaluated predictors of general satisfaction at follow-up using linear regression., Results: At follow-up, 91% of BHA respondents knew that smoking was not allowed in apartments and 82% were supportive of such a policy in their building. BHA residents believed enforcement of the smoke-free policy was low. Fifty-one percent of BHA respondents indicated that other residents "never" or "rarely" followed the new smoke-free rule and 41% of respondents were dissatisfied with policy enforcement. Dissatisfaction with enforcement was the strongest predictor of general housing satisfaction, while objective and self-reported measures of tobacco smoke exposure were not predictive of satisfaction. At follow-up, 24% of BHA participants had complained to someone in charge about policy violations., Conclusions: Resident support for smoke-free policies is high. However, lack of enforcement of smoke-free policies may cause frustration and resentment among residents, potentially leading to a decrease in housing satisfaction., Implications: Smoke-free housing laws are becoming increasingly prevalent, yet little is known about satisfaction and compliance with such policies post-implementation. We evaluated nonsmoking residents' attitudes about smoke-free rules and their satisfaction with enforcement 1 year after the BHA implemented its comprehensive smoke-free policy. We found that while residents were supportive of the policy, they believed enforcement was low, a perception that was associated with a drop in housing satisfaction. Our findings point to a desire for smoke-free housing among public housing residents, and the importance of establishing systems and guidelines to help landlords monitor and enforce these policies effectively., (© The Author 2015. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objectives: We assessed trends in use of electronic cigarettes among U.S. adults, demographic predictors of use, and smoking status of current electronic cigarette users., Methods: Mixed-mode surveys were used to obtain representative, cross-sectional samples of U.S. adults in each of 4 years., Results: Sample sizes for 2010, 2011, 2012, and 2013 were 3,240, 3,097, 3,101, and 3,245, respectively. Ever use of electronic cigarettes increased from 1.8% (2010) to 13.0% (2013), while current use increased from 0.3% to 6.8%, p < .001. Prevalence of use increased significantly across all demographic groups. In 2013, current use among young adults 18-24 (14.2%) was higher than adults 25-44 (8.6%), 45-64 (5.5%), and 65+ (1.2%). Daily smokers (30.3%) and nondaily smokers (34.1%) were the most likely to currently use e-cigarettes, compared to former smokers (5.4%) and never-smokers (1.4%), p < .001. However, 32.5% of current electronic cigarette users are never- or former smokers., Conclusions: There has been rapid growth in ever and current electronic cigarette use over the past 4 years. Use is highest among young adults and current cigarette smokers. Although smokers are most likely to use these products, almost a third of current users are nonsmokers, suggesting that e-cigarettes contribute to primary nicotine addiction and to renormalization of tobacco use. Regulatory action is needed at the federal, state, and local levels to ensure that these products do not contribute to preventable chronic disease., (© The Author 2014. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

This paper highlights the increasing level of collaboration, resource sharing, and consensus building in youth tobacco control taking place in the United States. Better knowledge of current research, activities, and collaborations in this area will help in the planning of activities and the rational allocation of funds for tobacco control programs, research, advocacy, and the counter-advertising activities. We defined three general classifications for organizations that had national youth tobacco control activities: Government centers and institutes, government organizations, and bridging organizations. We asked national experts in our own organization and all other included organizations to suggest additional groups for inclusion. After gathering available public information on each organization from Web sites and printed materials, we than solicited additional information by personal communication with individuals in leadership positions for youth tobacco control within each group. We developed a uniform framework to present a clear picture of each group in the areas of institutional conception, general goals, youth tobacco control research, and youth tobacco control activities. The tables provide a helpful reference guide presenting the institutional conception, goals, funding for research, activities, and Web sites for the institutions and organizations discussed here. Many groups have current youth tobacco control priorities in the United States. This synthesis of current research, funding sources, programmatic activities, and collaborations in the United States will be a valuable resource for clinicians, tobacco control advocates, researchers, and program planners.