Tobacco use disparities in rural communities.

PURPOSE: This exploratory study described facilitators and barriers to reducing tobacco disparities in 2 small rural communities and identified ways to reduce tobacco use. METHODS: This was a descriptive design using qualitative methods. We created a resource database for 2 rural Kentucky counties, using a Culture of Health Framework. We recruited 16 organizational stakeholders serving low-socioeconomic populations and conducted focus groups and key informant interviews. We also completed key informant interviews with 7 tobacco users. Lastly, we tailored Community Action Plans for each county based on the data and then solicited feedback from the key stakeholders. FINDINGS: The 2 counties were similar in population size, but County A had fewer resources than County B, and the stakeholders expressed differences toward tobacco use and quitting. County A stakeholders talked most about the protobacco culture and that tobacco users accept the risks of smoking outweighing the benefits of quitting; they also expressed concerns about youth use and the influences of family, society, and industry. County B stakeholders described ambivalence about the health effects of use and quitting. County A's Action Plan identified an opportunity to build Community Health Worker-delivered tobacco treatment into a new school-based health center. County B's Action Plan focused on reaching tobacco users by providing incentives for participation and tailoring messages to different audiences. CONCLUSIONS: Tobacco control resources and stakeholder perspectives vary in small rural communities, implying a need for tailored approaches. Tobacco users in rural areas are a critical population to target with cessation resources.

Tobacco use behavior among adults exposed to cumulative adverse childhood experiences: A systematic review and meta analysis.

BACKGROUND: Tobacco use remains one of the most used substances among adults globally and substantially impacts individuals and society. Adverse childhood experiences (ACEs) contribute to tobacco use. However, the association between cumulative ACEs and tobacco use behaviors (TUB) has not been established in the literature. In this review, we aimed to estimate the prevalence of ACEs among adult tobacco users and evaluated the relationship between cumulative ACEs and TUB. METHODS: We identified original articles published before October 2022 by searching PubMed, CINAHL, and Psych INFO databases. Inclusion criteria were: English language, adults and used instruments assessing for cumulative ACEs defined as four or more ACEs. RESULTS: Forty-two studies, totaling 674,087 participants; predominantly cohort and cross-sectional in study design (n = 33). Exposure to 4 ≥ ACEs was significantly associated with increasing the odds of current tobacco use (n = 35), ever or former tobacco use (n = 13), tobacco use initiation, (n = 3) nicotine dependence (n = 1), and ever using electronic cigarettes (n = 1). In the meta-analysis, as compared to those without ACEs, those with 4 ≥ ACEs were twice as likely to have ever used tobacco (OR = 2.16, 95 %CI:1.73-2.70) and approximately four times more likely to have used tobacco currently (OR = 3.73, 95 %CI:2.69-5.18). CONCLUSION: The cumulative ACEs exposure can increase the risk for TUB. However, the evidence is limited primarily to cigarette use. Ongoing research into the effects of cumulative ACEs on TUB is needed to integrate trauma-informed intervention in treating tobacco use and guide public health initiatives aimed to reduce the prevalence of ACEs and TUB among adults.

Enhancing Tobacco Treatment for Medicaid Recipients.

OBJECTIVE: Medicaid recipients are vulnerable to increased morbidity and mortality secondary to high tobacco use prevalence and barriers to accessing tobacco treatment. The purpose of the pilot study was to explore managed care administrators' perceptions of the facilitators and barriers to tobacco treatment for Medicaid recipients. METHODS: Focus groups with key informants (n = 14) from managed care organizations were conducted in fall 2018. Participants included case, integrated care, quality and field care managers, and individuals working in provider and network relations. RESULTS: Facilitators to tobacco treatment were universal quality reporting requirements, access to medications, and the role of case management in identifying and engaging tobacco users in treatment. Barriers included bias regarding smokers' ability to quit, communication challenges, and competing priorities. CONCLUSIONS: The analysis provided data to support the development of a policy brief and recommendations to the Department for Medicaid Services for enhancing tobacco dependence treatment.

Training Tobacco Treatment Specialists through Virtual Asynchronous Learning.

Tobacco dependence is a prevalent, chronic, and complex addiction that often leads to long-term disease and death. However, few healthcare providers are sufficiently trained and feel comfortable in delivering tobacco dependence treatment. The purpose of the study was to examine the effectiveness of an accredited online Tobacco Treatment Specialist (TTS) training program that uses a novel, asynchronous approach. We compared the characteristics of participants who completed the program to those who did not complete the program. Changes in knowledge and attitudes in providing tobacco dependence treatment were measured, and satisfaction with the program and intent to pursue national certification were assessed. Participants who were more likely to complete the program were those who discussed quitting less frequently with patients prior to course enrollment. These participants had a significant increase in knowledge and high satisfaction with the course. Approximately half of participants who completed the program indicated that they would pursue obtaining a national certificate in tobacco dependence treatment in the next 2 years.

Tobacco Use and Tobacco Treatment Referral Response of Patients With Cancer: Implementation Outcomes at a National Cancer Institute-Designated Cancer Center.

PURPOSE: Smoking after a cancer diagnosis is linked to cancer-specific and all-cause mortality, among other adverse outcomes. Yet, 10%-20% of US cancer survivors are current smokers. Implementation of evidence-based tobacco treatment in cancer care facilities is widely recommended, yet rarely accomplished. This study focuses on the early outcomes of a population-based tobacco treatment program integrated within an National Cancer Institute-designated cancer center. METHODS AND MATERIALS: The sample consists of 26,365 patients seen at the cancer center during the first 18 months of program implementation. The study is a retrospective chart review of patients' tobacco use and, among current users, patients' treatment referral response. RESULTS: More than 99% of patients were screened for tobacco use. Current (past month) use was observed in 21.05% of patients; cigarettes were the most popular product. Only 17.22% of current users accepted a referral for tobacco treatment; among current users who declined, the majority were not ready to quit (65.84%) or wanted to quit on their own (27.01%). Multiple demographic variables were associated with tobacco use and treatment referral response outcomes. CONCLUSION: Despite cancer diagnosis presenting a teachable moment for tobacco cessation, patients with cancer may not be ready to quit or engage with treatment. Clinically proven strategies to increase motivation, prompt quit attempts, and encourage treatment use should be key components of tobacco treatment delivery to patients with cancer.

The Emerging Global Tobacco Treatment Workforce: Characteristics of Tobacco Treatment Specialists Trained in Council-Accredited Training Programs from 2017 to 2019.

Tobacco use is projected to kill 1 billion people in the 21st century. Tobacco Use Disorder (TUD) is one of the most common substance use disorders in the world. Evidence-based treatment of TUD is effective, but treatment accessibility remains very low. A dearth of specially trained clinicians is a significant barrier to treatment accessibility, even within systems of care that implement brief intervention models. The treatment of TUD is becoming more complex and tailoring treatment to address new and traditional tobacco products is needed. The Council for Tobacco Treatment Training Programs (Council) is the accrediting body for Tobacco Treatment Specialist (TTS) training programs. Between 2016 and 2019, n = 7761 trainees completed Council-accredited TTS training programs. Trainees were primarily from North America (92.6%) and the Eastern Mediterranean (6.1%) and were trained via in-person group workshops in medical and academic settings. From 2016 to 2019, the number of Council-accredited training programs increased from 14 to 22 and annual number of trainees increased by 28.5%. Trainees have diverse professional backgrounds and work in diverse settings but were primarily White (69.1%) and female (78.7%) located in North America. Nearly two-thirds intended to implement tobacco treatment services in their setting; two-thirds had been providing tobacco treatment for 1 year or less; and 20% were sent to training by their employers. These findings suggest that the training programs are contributing to the development of a new workforce of TTSs as well as the development of new programmatic tobacco treatment services in diverse settings. Developing strategies to support attendance from demographically and geographically diverse professionals might increase the proportion of trainees from marginalized groups and regions of the world with significant tobacco-related inequities.

Preparing for the Quit Day: Comparing Beliefs of Nondaily Versus Daily Young Adult Smokers as They Prepare for a Quit Attempt.

INTRODUCTION: Most smoking cessation approaches are modeled on heavy daily smoking. With increasing prevalence of nondaily smoking, it may be necessary to modify these approaches for nondaily smokers. AIMS: To provide information about beliefs and attitudes relevant to smoking cessation for nondaily smokers. METHODS: Secondary analysis of two prospective studies on young adult smokers (18-24 years of age) provided brief advice to quit smoking. Measures include baseline levels of constructs relevant to smoking cessation counseling and perceived benefits of and barriers to smoking cessation. RESULTS: Participants (n = 40 nondaily, 122 daily smokers) were predominantly White (70% and 84%, respectively), gender-balanced (50% and 43% female), full-time college students (89% and 95%). At baseline, nondaily smokers reported lower levels of nicotine dependence (p < .001; nondaily: Fagerström Test for Nicotine Dependence (FTND) = 0.8 ± 1.5, daily: FTND = 3.1 ± 1.9), lower urge to smoke (p < .001), greater self-efficacy when facing external smoking stimuli (p = .03), expecting to experience fewer positive effects (reduced negative affect, p = <.001, stimulation, p = .02), and valuing the importance of smoking effects less (ps < .01) than daily smokers. During counseling, nondaily smokers generated both fewer benefits of cessation (Wald X2(df = 1) = 4.91, p = .027) and fewer barriers (Wald X2(df = 1) = 5.99, p =.014) than daily smokers. Withdrawal was not listed by nondaily smokers as a barrier (p < .01). CONCLUSIONS: Constructs relevant to smoking cessation for daily smokers were less salient to young nondaily smokers, compared with moderately addicted young daily smokers, as indicated by responses to standardized scales and by the generation of fewer benefits and barriers in counseling. Interventions may need to find novel ways to engage nondaily smokers, particularly young adult, in smoking cessation efforts. IMPLICATIONS: This study is unique in eliciting benefits and barriers from nondaily smokers as they are about to make a quit attempt. This is a critically important point in time, as this is the point in time in which an action plan is formed and can be informed and enhanced by smoking cessation support. Our study further allowed direct comparison to daily smokers undergoing the same procedures, which allowed the identification of unique factors that may impact nondaily smokers in their quit attempt, which may guide intervention efforts. Use of a mixed method design further strengthen the rigor of this study.

COVID-19 Impact on Smokers Participating in Smoking Cessation Trials: The Experience of Nondaily Smokers Participating in a Smartphone App Study.

Objectives: To provide initial insight into how the COVID-19 pandemic could affect smoking behaviors and cessation efforts that were underway at its onset. Methods: An additional survey was added to follow-up assessments in an ongoing smoking cessation study for nondaily smokers: a measure of impact of COVID-19 and a subset of previously administered scales measuring smoking, emotional well-being, and alcohol use. Pre-post tests were conducted (84 ± 28 days apart). Results: Participants (81/100 of enrolled; 67% female, 75% white, 10% Hispanic, 37 ± 11 years old) reported experiencing changes regarding work (35% income reduction/loss; 35% remote work) and living situation (15% consolidated residences). Participants reported their motivation to quit smoking "slightly" increased after COVID-19 (p < 0.001), more so in those having achieved 30-day abstinence (p = 0.0045). Worry, fear, and a desire to support the greater good increased (ps < 0.05). Increases in motivation to quit correlated positively with prosocial and wellness changes. Data from pre- to post-COVID-19 onset showed decreases in emotional well-being (increased stress, negative affect, decreased coping, positive affect, all ps < 0.01), but not changes in smoking abstinence (p = 0.65), readiness to quit (p = 0.16), smoking frequency (p = 0.96), or cigarettes per day (p = 0.96). Heavy drinking decreased (p < 0.01). Trying e-cigarettes increased (p = 0.04). Conclusions: Nondaily smokers participating in a smoking cessation study during the COVID-19 pandemic reported worsened emotional well-being without effects on smoking outcomes and said their motivation to quit was slightly increased. Correlations of motivation to quit with prosocial and wellness changes suggest that targeting these constructs may be particularly helpful during a pandemic.

E-cigarettes and Atherosclerotic Cardiovascular Disease: What Clinicians and Researchers Need to Know.

PURPOSE OF REVIEW: Electronic cigarettes, commonly known as electronic nicotine delivery systems (ENDS), e-cigarettes, or vapes, are growing in use and popularity. E-cigarettes are not one distinct type of product. These devices have evolved from the initial "cigarette-alike" designs to larger tank-style devices and most recently, smaller "mod-pods" that can be easily hidden. E-cigarettes can deliver nicotine at levels similar to conventional cigarettes. RECENT FINDINGS: As with conventional cigarettes, e-cigarettes expose users to chemicals and particulates that affect many biological systems including the heart, lungs, and circulation. Most e-cigarettes contain and emit potentially toxic but highly variable substances. Only by using them in total abstinence from combustible tobacco products can users reduce (not eliminate) their exposure to these harmful chemicals. However, most adults smoking e-cigarettes are dual users, meaning they smoke both conventional and e-cigarettes. This review of the current cardiovascular-specific literature related to e-cigarette use explores what is known (and unknown) about the short- and long-term effects of using these devices. Specifically, the effects of nicotine, oxidizing agents, and particulates in e-cigarettes are examined in the context of cardiovascular and lung health. The goal is to assist clinicians when discussing e-cigarettes with their patients and to help them analyze the impact of use on cardiovascular health. Recommendations are provided related to clinical treatment and research to address gaps in the literature.

Hardcore smokers: what do we know?

AIMS: The existence of smokers who are resistant to smoking cessation treatment has long been noted in the literature. There has been ongoing debate as to whether the proportion of these smokers is increasing as smoking prevalence rates stagnate. Studies define hardcore smokers inconsistently and within the context of specific illnesses, addiction, population, and/or theoretical paradigms. This review examines the existing literature related to hardcore smokers to develop a better understanding of what is known and not known about this group to guide smoking cessation treatment. METHODS: PubMed MESH search and review of research publications from 1998 to 2012 (N=61). RESULTS: Inconsistent definitions of hardcore smoking make it difficult to estimate prevalence rates and to identify specific characteristics of persistent smokers. Generally, persistent smokers have higher levels of nicotine dependence, are disproportionately from lower socioeconomic groups, start smoking at an earlier age, and are more likely to have a psychological co-morbidity. DISCUSSION: Defining some smokers as hardcore is limiting. Targeted and tailored interventions for smoking cessation for persistent smoking have demonstrated effectiveness in a small number of studies. Treatment access barriers need to be addressed to improve the reach and effectiveness of cessation with persistent smokers. Efforts to limit early age initiation of tobacco use are a critical element in averting persistent smoking.

The three Ts of adopting tobacco-free policies on college campuses.

This article describes a 3-pronged compliance strategy to implement a tobacco-free campus policy at 1 large, land grant public university in the South, and evaluates its impact on outcomes and costs. Although there has been a recent wave of tobacco-free colleges, policy restrictiveness and implementation vary, and compliance remains a challenge. The 3 Ts strategy (Tell-Treat-Train) involves regular, consistent communications, access to tobacco treatment medications and counseling, and ongoing training of supervisors and student leaders. Administrative support, access to tobacco treatment, campus buy-in, sustained communications, and careful implementation planning are critical to instituting a tobacco-free university policy.

E-cigarettes: promise or peril?

Electronic cigarettes (e-cigarettes) use a heating element to vaporize nicotine and other ingredients, simulating the visual, sensory, and behavioral aspects of smoking without the combustion of tobacco. An ever-growing number of companies around the world manufacture a wide variety of e-cigarette brands, despite scant information on the safety of the ingredients for human inhalation. This article provides an overview of the history, production, and marketing of e-cigarettes, the contents of e-cigarettes and vapor, how they are used, public health concerns, and implications for nursing practice, research, and policy development.

The structure and health correlates of trait repetitive thought in older adults.

Repetitive thought (RT) involves frequent or prolonged thoughts about oneself and one's world, encompassing discrete forms such as trait worry, rumination, processing, and reminiscing. These forms of RT can be described using 3 basic, underlying qualities: total propensity for RT of all types, valence (positive vs. negative content), and purpose (searching or uncertainty vs. solving or certainty). The adaptiveness of discrete forms with regard to health is likely to be related to these qualities, particularly valence and total propensity. The present study confirmed the model and identified the relationship of these qualities of RT to subjective psychological, physical, and cognitive health in older adults aged 60-94 (N = 179). As predicted, more negatively valenced trait RT was associated with worse psychological, physical, and cognitive health. More total propensity for RT was associated only with worse psychological health. Searching purpose was associated only with worse cognitive health. In turn, negatively valenced RT was predicted by poorer executive functions, suggesting that such functions may be important for directing this quality of RT. The valence of older adults' RT is important insofar as it may contribute to their sense of good or ill health. However, the propensity for all kinds of RT to associate with poorer psychological health may reflect the co-occurrence of negative and positive RT, such as rumination and emotional processing. Although RT has not been extensively investigated in older adults, it appears to play an important role in their subjective health.

Time since smoke-free law and smoking cessation behaviors.

INTRODUCTION: We examined the association between time since implementation of a smoke-free law and cessation behaviors among current and former smokers. METHODS: A quasiexperimental, three-group design assessed smoking and cessation behaviors via brief telephone interviews with 295 randomly selected current and former smokers who had quit since a smoke-free law took effect in their community. Participants lived in one of four communities that had implemented a smoke-free law in the preceding 6-8 months (n = 106), 18 months (n = 87), or 36 months (n = 102). RESULTS: Compared with those living in communities with relatively new smoke-free laws (6-8 months), those in communities with more established laws (18 and 36 months) were more likely to (a) be former smokers and (b) report a longer time since smoking their last cigarette. Compared with the 6- to 8-month group, those in the 36-month group were more likely to have tried to quit since the law was implemented. DISCUSSION: Smoke-free laws may have a delayed effect on cessation among adults. The longer a smoke-free law is in effect, the more likely adults will attempt to quit smoking and become former smokers. Maintaining the integrity of smoke-free laws over time is an important population-based quit strategy.