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.

The Impact of a Virtual Tobacco Prevention and Advocacy Training Among Youth in Appalachian Kentucky Communities.

BACKGROUND: Engaging youth is an important component of comprehensive tobacco control programs. PURPOSE: This paper describes the impact of a virtual tobacco prevention training program to encourage and prepare youth in Appalachia to support tobacco prevention policies, to strengthen interpersonal confidence to address tobacco use within their communities and enhance advocacy self-efficacy for tobacco control. METHODS: A two-part evidence-informed peer-led tobacco prevention and advocacy training was implemented among 16 high school students from Appalachian counties in Kentucky. The initial training (January 2021) included an overview of the e-cigarette landscape, advocacy skills related to policy change, developing messages to decision makers, and media advocacy. A follow-up session (March 2021) included a breakdown of advocacy skills and overcoming barriers. RESULTS: Overall, participants held strong beliefs that tobacco use is an issue that needs to be addressed in their community. There was a statistically significant average difference in student interpersonal confidence between baseline and post-surveys (t = 2.016, P = .062 < .1). Students who participated in at least 1 of the provided advocacy events indicated higher self-reported advocacy. CONCLUSION: Youth in Appalachia expressed an interest to advocate for stronger tobacco policy in their communities. Youth who participated in the tobacco advocacy policy trainings reported improvements in attitudes, interpersonal confidence, advocacy self-efficacy, and self-reported advocacy. Youth engagement in tobacco policy advocacy is promising and needs to be further supported.

Examining intention to quit using Juul among emerging adults.

OBJECTIVES: (1) Describe intention to quit, (2) identify relationships between various factors and intention to quit, (3) explore if Theory of Planned Behavior-informed constructs are associated with intention to quit, and (4) discover if descriptive norms strengthen association with intention to quit among emerging adults currently using Juul. Participants: First-year students currently using Juul at a large public university (N = 182). Methods: A November 2018 online survey assessed sociodemographic characteristics, social influences, patterns of use, quit intention, and attitudes, norms, and perceived behavioral control toward Juul. Results: A quarter of participants reported current use, with nearly half intending to quit within six months. Recent quit attempts was the only factor related to intention. Two models were created that showed association with intention to quit, but only perceived behavioral control was individually significant. Conclusions: Cessation-focused campaigns and interventions are needed on college campuses and could be less tailored than prevention.

Assessing the Testability of the Multi-Theory Model (MTM) in Predicting Vaping Quitting Behavior among Young Adults in the United States: A Cross-Sectional Survey.

PURPOSE: Given the increased exposure to e-cigarettes and nicotine among young adults, difficulty in quitting vaping is likely, which supports the need for effective behavioral interventions. Therefore, this cross-sectional study aims to assess the testability of the contemporary multi-theory model of health behavior change in predicting the vaping quitting behavior among young adults in the United States. METHODS: A nationally representative sample of 619 young adults engaged in vaping behavior and aged 18-24 years was recruited to complete a 49-item web-based survey. A structural equation model was used to test relationships between MTM constructs. Hierarchical multiple regression was utilized to predict the variance in the initiation and sustenance of vaping quitting behavior by predictor variables, such as demographic characteristics, history of behaviors, and MTM constructs. RESULTS: Of 619 respondents, over 75% were White and nearly 70% had educational attainment equal to high school or some college. In total, 62% of respondents were using nicotine, followed by 33.3% were using cannabis. About 80% of the respondents reported being engaged in drinking alcohol, and nearly 45% were engaged in cigarette smoking. The predictive effect of all MTM constructs on vaping quitting initiation (adjusted R2 = 0.417, F (23, 595) = 20.215, p < 0.001) and sustenance (adjusted R2 = 0.366, F (23, 595) = 16.533, p < 0.001) was statistically significant. CONCLUSIONS: The findings of this study point to the usability and applicability of MTM in operationalizing and developing vaping quitting behavior interventions targeting young adults.

Training Appalachian Kentucky Youth Cancer Advocates.

OBJECTIVES: Kentucky has the highest cancer incidence and mortality rates in the United States, with the Appalachian region experiencing the highest of those rates. Cancer advocacy, which is defined as providing support to cancer patients and their communities, represents a means of decreasing the cancer cases in Appalachian Kentucky. This exploratory study examined the effects of advocacy training and experiential learning on Appalachian high school students' cancer advocacy attitudes and self-efficacy. METHODS: The design of this study was a mixed-methods, one-group repeated measure with a group of participants from the Appalachian Career Training in Oncology (ACTION) Program (N = 9). The study assessed advocacy attitudes and self-efficacy before and after participants were provided advocacy training and participated in an advocacy event. RESULTS: Participating students' attitudes and self-efficacy did not substantially change following the training and their participation in an advocacy event. Through their comments after the event, however, students seem eager to use their voices to influence the actions of state legislators. At the same time, they worry about the apathy of their community members to their cancer advocacy message. CONCLUSIONS: Youth represent potentially powerful agents of advocacy that could help address the cancer burden in Kentucky. Participants in this study likely overestimated their advocacy abilities before learning more about advocacy and participating in the process. As such, additional trainings are likely necessary to increase students' self-efficacy, encourage them to share their stories, and help them overcome perceived barriers.

Identifying current Juul users among emerging adults through Twitter feeds.

INTRODUCTION: Juul is the most popular electronic cigarette on the market. Amid concerns around uptake of e-cigarettes by never smokers, can we detect whether someone uses Juul based on their social media activities? This is the central premise of the effort reported in this paper. Several recent social media-related studies on Juul use tend to focus on the characterization of Juul-related messages on social media. In this study, we assess the potential in using machine learning methods to automatically identify Juul users (past 30-day usage) based on their Twitter data. METHODS: We obtained a collection of 588 instances, for training and testing, of Juul use patterns (along with associated Twitter handles) via survey responses of college students. With this data, we built and tested supervised machine learning models based on linear and deep learning algorithms with textual, social network (friends and followers), and other hand-crafted features. RESULTS: The linear model with textual and follower network features performed best with a precision-recall trade-off such that precision (PPV) is 57 % at 24 % recall (sensitivity). Hence, at least every other college-attending Twitter user flagged by our model is expected to be a Juul user. Additionally, our results indicate that social network features tend to have a large impact (positive) on classification performance. CONCLUSION: There are enough latent signals from social feeds for supervised modeling of Juul use, even with limited training data, implying that such models are highly beneficial to very focused intervention campaigns. This initial success indicates potential for more involved automated surveillance of Juul use based on social media data, including Juul usage patterns, nicotine dependence, and risk awareness.

Readiness for Tobacco-Free Policy in a Statewide University System.

Background. Almost 2,000 campuses have adopted tobacco-free (TF) policies across the United States. However, there is not a systematic process to help campuses implement successful policies. Readiness assessments can help provide assistance as campuses work to implement successful policies. Purpose. We assessed readiness for TF policies among campuses of a statewide university system and determined factors associated with readiness. Participants. Stakeholders from 23 campuses without 100% TF policies were invited to participate in an online survey. Method. System administrators provided contacts for five to eight stakeholders per campus. Included in the analysis were 10 of 23 campuses (43.5%) with at least three stakeholders completing the survey. Results. Of the 10 campuses, one was in Preplanning, five were in Preparation, and four were in the Initiation stage of readiness. Political Climate was the highest scored dimension on seven campuses (0.74-1.0); Resources was the lowest on eight campuses (0.0-0.67). Campus size and county rurality were each associated with one dimension score. Conclusions. Despite being part of a statewide university system, campuses are in varying stages of readiness for TF policies. Stage-based strategies to advance TF campus policies must be implemented to set campuses up for successful policies.

Student Tobacco Use Behaviors on College Campuses by Strength of Tobacco Campus Policies.

PURPOSE: To examine the association between strength of policy and self-reported tobacco use behavior, controlling for demographic characteristics, polytobacco use, knowledge of campus tobacco policy, and perceived policy compliance by others. DESIGN: Cross-sectional, online survey. SETTING: Ten participating State University of New York (SUNY) campuses; 5 with designated smoking/tobacco use areas and 5 with 100% tobacco-free policies. SUBJECTS: Convenience sample of students from SUNY campuses: only tobacco users (N = 576 students) included for analysis. MEASURES: Items assessing tobacco use behaviors on campus, policy knowledge, and observation of others using tobacco on campus. ANALYSIS: T tests and chi-square tests of association used to compare responses between tobacco users across campuses. Generalized estimating equations modeling used to evaluate predictors of tobacco use on campus; model estimated with students nested within campus. RESULTS: Those on campuses without a comprehensive policy were more likely to report (in the past week) having seen others smoke on campus (98% vs 69%, P < .001), having personally smoked on campus (65% vs 36%, P < .001), and seeing others use tobacco products on campus (88% vs 67%, P < .001), compared to those on tobacco-free campuses. CONCLUSION: Tobacco-free campus policies provide numerous protective factors for tobacco users and nonusers. However, compliance strategies are imperative for intended policy success.

Tobacco-Free Ambassador Partnership: Empowering Youth Advocates in Appalachian Communities.

Kentucky youth (14.3%) smoke more cigarettes as compared to the U.S. average (8.8%), and Appalachian communities suffer disproportionately from tobacco-related diseases such as lung cancer. Training youth to become advocates is an effective strategy to improve health equity. This article describes the development and impact of a youth advocacy program to promote tobacco control policies in Appalachian Kentucky. Phase I (2017-2018): two ½-day trainings followed by monthly meetings with one high school (n = 20 youth). Trainings provided information on tobacco use, consequences, industry tactics, evidence-based tobacco control, and advocacy skills. Results provided support for expansion to Phase II (2018-20119): A 1-day training followed by monthly information sharing implemented in three counties (N = 80). Youth were surveyed before and 6-months posttraining during both phases. Phase I: At posttraining, 85% of youth believed they could reduce the amount of tobacco use in their community versus 66% at baseline. More students tried at least once to convince school or government officials to be more concerned about tobacco use (77% vs. 47%). Phase II: More students supported tobacco policies at posttraining survey and realized policies are an effective strategy to reduce tobacco use. At posttraining survey, students reported greater interpersonal confidence talking with others about tobacco-related issues, with a 24% increase in confidence talking with adults in their communities, as well as greater advocacy self-efficacy. Youth in Appalachia demonstrate desire to influence tobacco use and policy to improve health equity. Findings reinforce the need for collaborative public health interventions to promote ongoing training and support for youth living in high-risk communities.

Truth® ads, receptivity, and motivation to use or quit tobacco among college students.

Objective: Examine receptivity and motivation to use/quit tobacco among college students after viewing Truth ads. Participants: Random sample of 10,000 college students invited to complete online survey February 2016 (8.5% response rate). Methods: Quasi-experimental. Participants (N = 854) watched four ads and answered survey items for each ad. Results: Students rated ad receptivity and decreased motivation to use tobacco higher for the Catmageddon ad than the others. Regardless of ad, men and current cigarette smokers reported lower receptivity. Younger age was associated with lower motivation to use tobacco for all ads. Tobacco users reported greater motivation to quit with the Catmageddon ad. Conclusions: College students were receptive to the Truth ads, and many indicated lower motivation to use tobacco. Men, older college students, and current cigarette smokers were less receptive to the ads, reinforcing the need to develop tailored campaigns to reach these subgroups.

Readiness to Adopt Physical Activity Policies in Rural Communities.

The purpose was to explore community readiness to adopt physical activity (PA) policies by adapting and pilot testing an online survey (Physical Activity Readiness Survey [PARS]). PARS was adapted from the previously tested Community Readiness Survey-Short. In February/April 2016, key informants (N = 17) involved in PA activities from two rural communities were invited to complete the PARS, representing six dimensions: knowledge, leadership, resources, community climate, existing voluntary PA policies, and political climate. First, participants were asked to respond to a presurvey to screen for overall readiness for up to four evidence-based PA policies. A main survey readiness score (0-6) was determined by averaging the key informants' ratings across items: Raw scores were rescaled to range from 0 to 1, and dimension scores were summed. Participants identified two PA policies in the presurvey: neighborhood availability and point-of-decision prompts. For both policies, political climate had the highest dimension score (1.0) and the knowledge dimension scored lowest (0.05-0.38). Overall readiness scores ranged from 3.19 to 3.62, revealing the preparation stage for both policies. Readiness for the two PA policies were similar, but specific dimension scores varied by policy type and community, reinforcing the need for tailored interventions.

Short- and Long-Term Effects of a Tobacco-Free Executive Order on Employee Tobacco Use.

Smoke-free workplace policies encourage cessation, reduce tobacco consumption, and shift the pro-tobacco norm. However, no research exists evaluating the impact of mandated tobacco-free policies on government property. The purpose of our study was to examine short- and long-term effects of a tobacco-free policy (executive order 2014-747) implemented in November 2014, prohibiting tobacco use on state executive property. Cross-sectional online surveys were administered at two time points to a total of 27,000 employees of the executive branch of the Commonwealth of Kentucky. The short-term evaluation (March 2015) comprised 4,170 employees and the long term (August 2015) included 3,070. Tobacco use, plans to quit using tobacco, personal characteristics, whether the county of their workplace was covered by a smoke-free policy, and social norms for tobacco use were assessed 4- and 9-month post-policy implementation. Current tobacco use and plans to quit were compared between short- and long-term evaluations using multiple logistic regression with relevant covariates included. Controlling for demographics and employment location, employees reported lower rates of tobacco use and higher rates of planning to quit in the long term than in the short term. Tobacco-free policies reduce tobacco use prevalence and promote plans to quit, particularly over time. We found differences in tobacco use prevalence and plans to quit using tobacco products from 4 to 9 months after the policy took effect, as reported by employees following implementation of the tobacco-free policy. These findings support the potential for avoiding long-term health care costs as a result of reduced tobacco use from these policies. Nurses can play an important advocacy and policy evaluation role to promote and assess the impact of tobacco-free policies.

Support for Tobacco 21 in a Tobacco-Growing State.

This study investigated the association between sociodemographic characteristics and public attitudes toward Tobacco 21 laws. Through a random telephone survey in 2017, 1,675 Kentucky adults were asked if they favored/opposed increasing the minimum legal age to purchase tobacco products from 18 to 21 years of age. Over half (57.9%) favored raising the minimum legal age for tobacco sales to 21 (95% confidence interval: [54.5, 61.2]). Multivariable logistic regression for weighted survey data was used to determine factors associated with support. In the adjusted analysis, older age, female sex, non-White, conservative political ideology (versus moderate), and support for a statewide smoke-free policy were each significantly associated with greater support for Tobacco 21. The results suggest multiple demographic and personal factors associated with support, even in a tobacco-growing state. Health care professionals, including nurses, must understand existing public attitudes to effectively advocate for tobacco policies in states with high tobacco use.

Employee Adherence to a Tobacco-Free Executive Order in Kentucky.

PURPOSE: Examine predictors of short- and long-term adherence to a tobacco-free policy prohibiting all tobacco use inside and outdoors on Executive Branch property in Kentucky. DESIGN: Cross-sectional online surveys administered at 2 time points. SETTING: Commonwealth of Kentucky. PARTICIPANTS: 27 000 employees of the Kentucky Executive Branch were invited to participate in 2 online surveys: March 2015, 4 months postpolicy (N = 4854) and August 2015, 9 months postpolicy (N = 3522). INTERVENTION: Executive order prohibiting tobacco use on Executive property implemented November 2014. MEASURES: Tobacco use, tobacco users' adherence to the tobacco-free policy, and personal characteristics were assessed. ANALYSIS: Two separate logistic regression models used to determine predictors of short- and long-term adherence to the policy. RESULTS: In the short term, employees who had seen others violate the policy ( P < .001) and had more tobacco-using friends ( P = .020) were less likely to adhere to the policy. At 9 months after the policy, employees who were older ( P = .038) and those who had seen others violate the policy ( P < .001) were less likely to report adherence to the policy. Tobacco-using employees who worked in a county with a comprehensive smoke-free ordinance ( P = .047) were more likely to adhere to the policy. CONCLUSION: This study indicates the need for strong policy compliance procedures, employer-based tobacco treatment programs accompanying tobacco-free policy change, and smoke-free workplace laws to promote prohealth norms.

Intention to quit smoking and polytobacco use among college student smokers.

Little is known about polytobacco use in college students. One nationally representative survey indicated 51.3% of tobacco-using college students used more than one product, which may increase risk of tobacco-related disease and premature death. The purpose of this study was to examine the association of intention to quit smoking (ITQS) cigarettes with polytobacco use status, controlling for frequency of tobacco product use and cigarette smoking intensity as measured by cigarettes per day (CPD). Data are from a larger quasi-experimental study conducted at a large state university in the Southeastern United States. Analysis is based on the combined sample of current smokers from two randomly selected cohorts surveyed two months apart. Polytobacco users (n = 52) were as likely as cigarette-only users (n = 81) to intend to quit smoking. Compared to students who used tobacco products 1-9 days per month, students using 10-29 days per month or daily reported higher ITQS. Higher intensity smokers (>10 CPD) were 71% less likely to indicate ITQS, compared to lower intensity smokers (≤10 CPD) (p = .025). College student polytobacco users were as likely as those using only cigarettes to intend to quit smoking. Interventions are needed to target college student polytobacco users as well as cigarette smokers as both groups may intend to quit. Smokers using 10 or fewer CPD and those who use tobacco products daily or 10-29 days per month may be more motivated to quit than college students who smoke with more intensity but who use tobacco products less frequently.

Online readiness assessment for Smoke- and Tobacco-free campus policies.

OBJECTIVE: Develop and test an online survey to assess campus readiness to adopt smoke- and tobacco-free (SF/TF) policies. PARTICIPANTS: Key informants (N = 18) at four campuses in Kentucky without a SF/TF policy recruited April 2015. METHODS: Cross-sectional design. The survey assessed six dimensions: knowledge about SF/TF policies; leadership for campus policy; resources for policy development; campus climate surrounding tobacco issues; existing tobacco policies; and political climate for campus policy development. Dimension raw scores were rescaled to range from 0-1 and summed to determine overall stage of readiness (0-6). RESULTS: Political climate was highest dimension across all campuses (0.83-1.0). Knowledge dimension ranked lowest (0.0-0.50). Overall readiness scores ranged from 2.53-3.94; two campuses in preplanning and two in preparation. CONCLUSIONS: Development of the online measure is timely considering the impetus to implement SF/TF policies. Findings reinforce that campuses are at varying stages of implementing these policies, and stage-based interventions are necessary.

An Incentivized, Workplace Physical Activity Intervention Preferentially Increases Daily Steps in Inactive Employees.

Although physical activity (PA) is associated with decreased risk of chronic diseases, fewer than half of American adults meet the recommendations for daily PA, in part, due to large amounts of sedentary time in the workplace. PURPOSE: To determine the efficacy of an incentivized workplace PA intervention. DESIGN: Retrospective cohort design. SETTING: Large southeastern university. PARTICIPANTS: Of the 16 588 eligible employees working ≥8 h/wk, 6246 (37.6%) participated and 2206 (13.3%) were included in data analysis. INTERVENTION: Six-week PA intervention with tiered incentives (value: $10.50-$29.00). MEASURES: Steps/day measured via consumer-grade PA monitors for 1-week pre-, 6-weeks during, and 1-week postintervention. ANALYSIS: Participants were grouped by preintervention PA into 4 groups: <6000 (I); 6000 to 7999 (II); 8000 to 9999 (III); and ≥10 000 (IV) steps/d ( n = 481, 540, 485, and 700, respectively) in accordance with the tiered incentive schedule. Statistical comparisons were made by repeated-measures analysis of variance. RESULTS: During the intervention, participants achieving ≥10 000 steps/d increased by 60%. Groups I, II, and III significantly increased steps/day during the intervention (46%, 24%, and 11%, respectively), which was partially maintained in groups I and II 1-week postintervention. Group IV did not increase steps/day during the intervention and significantly decreased steps/day 1-week postintervention. The estimated cost per participant of this intervention increased with from group I ($55.41) to IV ($71.90). CONCLUSION: An incentivized, workplace PA intervention preferentially increases PA and is most cost-effective among university employees with low initial PA who may benefit substantially from increased levels of PA.

University students' perceived risk of and intention to use waterpipe tobacco.

Emerging tobacco product use is increasing. We evaluated factors associated with perceived risk of and intention to use waterpipe tobacco by surveying students at a large university in the southeastern U.S. (N = 667). Proportional odds modeling assessed whether demographic characteristics and social acceptability are associated with perceived risk of waterpipe tobacco use; and if these factors and perceived risk are related to intention to use waterpipe tobacco. Participants who perceived waterpipe tobacco to be more socially acceptable had lower odds of perceiving it as risky (95% confidence interval [CI] 0.50-0.68). Compared with never users, former tobacco users and current users had lower odds of perceiving waterpipe tobacco use as risky (95% CI 0.38-0.80 and 0.28-0.63, respectively). Similarly, students with greater perceived social acceptability scores had higher odds of intending to use waterpipe tobacco (95% CI 1.41-2.63), while those who perceived greater risk had lower odds of intending to use it (95% CI 0.34-0.64). Compared with never users, former users had higher odds of intending to use waterpipe tobacco (95% CI 1.42-7.21). Among those who had ever used waterpipe tobacco, 90% reported 'to socialize' as the most frequent reason for deciding to do so. Findings underscore the need for future prevention efforts.

Students' Beliefs About and Perceived Effectiveness of a Tobacco-Free Campus Policy.

Tobacco-free (TF) college campus policies have potential to be a high-impact tobacco control strategy. The purposes of the study presented here were to (a) determine the demographic and personal characteristics associated with students' beliefs about and perceived effectiveness of a TF campus policy and (b) assess whether tobacco use status and exposure to secondhand smoke (SHS) predicted beliefs and perceived effectiveness. Five thousand randomly selected students from a large southeastern university were invited by e-mail to participate in an online survey in April 2013, three and a half years after policy implementation. Students held positive beliefs about the policy (average rating 84% of the maximum possible score). Sixty-one percent believed that the policy was successful at reducing SHS exposure; and 40% thought the policy encouraged quitting. Males were less likely than females to believe the policy was effective in reducing SHS exposure and encouraging quitting. Lower undergraduates were more likely to perceive the policy as less effective in reducing SHS exposure; international students were more likely than domestic students to perceive the policy as more effective at encouraging quitting. Students most exposed to SHS were less likely to perceive the policy was effective. Compared with nonusers, those who smoked cigarettes were less likely to perceive the policy as effective in encouraging quitting. Tailored messaging regarding policy benefits are necessary. Perceived effectiveness of TF policies may be related to compliance with the policy and should be further investigated. Objective measures of effectiveness and tobacco use behaviors are needed to fully measure the success of TF campus policies.