Comparison of Tobacco Product Prices at Fort Liberty Army Installation and Surrounding Community Areas, 2021.

INTRODUCTION: High rates of tobacco use persist in the U.S. military, with 18.4% of service members smoking cigarettes in 2018. The Department of Defense's (DoD) 2017 policy required that tobacco retailers on military installations set tobacco product prices equal to the most common community price, including tax, but there is limited evidence confirming whether local retailers are adhering to this policy. We examined tobacco product pricing in tobacco retailers on- and off-post at the largest U.S. Army installation, Fort Liberty, and Cumberland County, North Carolina. METHODS: Between June-August 2021, we collected data on tobacco product availability, price, and promotions from retailers on Fort Liberty (n=14) and a random sample of off-post retailers within 10-miles of installation gates (n=52). We calculated the mode, mean, and median price of each product, plus the difference in these prices at on- and off-post retailers. We used Welch's t-test to test differences in mean prices between on- vs. off-post retailers. RESULTS: The mode, mean, and median prices of cigarette packs and cartons were lower on-post than off-post (e.g., $0.51-$0.55 cheaper for Marlboro cigarette packs on-post). However, the mode, mean, and median prices of smokeless tobacco products and little cigars were higher on-post than off-post (e.g., $0.82-$0.89 more costly for Swisher Sweets 2-packs on-post). CONCLUSION: Results highlight the need for continued enforcement to ensure compliance with the 2017 DoD policy. Comprehensive policy action to reduce tobacco price disparities on- and off-post is critical to reducing high rates of tobacco use among service members. IMPLICATIONS: Despite the implementation of the 2017 DoD pricing policy, some tobacco products remain cheaper at tobacco retailers on-post compared to off-post retailers. Our results highlight the need for greater routine surveillance to increase implementation of the policy-particularly for cigarettes-to reduce high rates of tobacco use among service members.

Testing the feasibility of the QuitAid smoking cessation intervention in a randomized factorial design in an independent, rural community pharmacy.

BACKGROUND: Adult smoking rates in the USA are highest in economically depressed rural Appalachia. Pharmacist-delivered tobacco cessation support that incorporates medication therapy management (such as the QuitAid intervention) is a promising approach to address this need. METHODS: Twenty-four adult smokers recruited between September and November 2021 through an independent pharmacy in rural Appalachia were randomized in a non-blinded 2 × 2 × 2 factorial design to (1) pharmacist delivered QuitAid intervention (yes vs. no); (2) combination nicotine replacement therapy (NRT) gum + NRT patch (vs. NRT patch); and/or (3) 8 weeks of NRT (vs. standard 4 weeks). Participants received 4 weeks of NRT patch in addition to the components to which they were assigned. Participants completed baseline and 3-month follow-up assessments. Primary outcomes were feasibility of recruitment and randomization, retention, treatment adherence, and fidelity. RESULTS: Participants were recruited in 7 weeks primarily through a referral process, commonly referred to as ask-advise-connect (61%). Participants were on average 52.4 years old, 29.2% were male and the majority were white (91.6%) and Non-Hispanic (91.7%). There was a high level of adherence to the interventions, with 85% of QuitAid sessions completed, 83.3% of the patch used, and 54.5% of gum used. Participants reported a high level of satisfaction with the program, and there was a high level of retention (92%). CONCLUSIONS: This demonstration pilot randomized controlled study indicates that an ask-advise-connect model for connecting rural smokers to smoking cessation support and providing QuitAid for smoking cessation is feasible and acceptable among rural Appalachian smokers and independent pharmacists. Further investigation into the efficacy of a pharmacist-delivered approach for smoking cessation is needed. TRIAL REGISTRATION: The trial was retrospectively registered at ClinicalTrials.gov. Trial #: NCT05649241.

Gestational Weight Gain Among Urban and Rural Pregnant Individuals Who Smoke or Quit Smoking.

INTRODUCTION: Approximately 7.2% of individuals in the U.S. smoke during pregnancy, and cessation is associated with excessive gestational weight gain (GWG). Weight gain is a common reason for not quitting smoking or relapsing. The current study aimed to characterize who is at risk for excessive GWG and determine the moderating effect of rurality given the higher smoking rates and lower access to healthcare services in these areas. METHODS: Data from the Virginia Pregnancy Risk Assessment Monitoring System (PRAMS; years 2009-2020) were used to assess the association between participant characteristics, smoking behaviors, and rurality by excessive GWG status in 2023. RESULTS: Almost half (44.0%) of participants experienced excessive GWG; 9.8% of participants quit smoking while 6.9% continued smoking. Respondents who quit during pregnancy had higher odds of excessive GWG than non-smoking respondents (OR=1.83, 95% CI: [1.24, 2.71]). Among those who were non-smoking, respondents in rural areas, compared to urban areas, had a higher probability of experiencing excessive GWG (0.46 vs 0.44, p<0.001). For those who quit smoking (0.60 vs 0.41, p<0.001) or continued to smoke during pregnancy (0.46 vs 0.33, p<0.001), urban residence was associated with a higher likelihood of excessive GWG compared to rural residence. CONCLUSIONS: Smoking cessation and weight management during pregnancy are critical to promoting infant and maternal health. Targeted interventions combining weight management and smoking cessation have been successful among the general population and could be adapted for pregnant individuals who smoke to facilitate cessation and healthy GWG in both urban and rural areas.

Motives for using electronic nicotine delivery systems (ENDS) as a cessation tool are associated with tobacco abstinence at 1-year follow-up: A prospective investigation among young adults in the United States Air Force.

Introduction: Smokers use electronic nicotine delivery systems (ENDS), including e-cigarettes, as a harm reduction strategy even though the Food and Drug Administration (FDA) has not approved them for tobacco cessation. The limited literature about ENDS use for cigarette cessation is concerning for the U.S. military, which is largely comprised of young adults at increased risk for tobacco use. Thus, the current study aims to evaluate use of ENDS products as a cessation tool in relation to point-prevalence tobacco abstinence at one-year follow-up in a cohort of 8,901 U.S. Air Force personnel attending entry-level job training from March 2016 to April 2019. Methods: A propensity-score adjusted multinomial logistic regression model was used to assess the association between the baseline motives for ENDS use (i.e., for cigarette cessation versus alternative reasons) and tobacco use at the one-year follow-up (cigarette use, non-cigarette tobacco product use, and tobacco abstinence) among those reporting history of cigarette use at baseline. Results: Smokers reporting ENDS use for cigarette cessation were more likely to be abstinent at one-year follow-up (Odds Ratio[OR] = 1.62, 95% CI: 1.06-2.49, P =.03) as well as quit using non-cigarette tobacco products (OR = 2.11, 95% CI: 1.65-2.70, P <.001) than those reporting ENDS use for alternative reasons. Conclusions: Current tobacco users are recommended to use FDA-approved products for smoking cessation, such as nicotine replacement therapy. However, given the high prevalence of cigarette use among military populations, ENDS may provide a useful alternative harm reduction strategy for this high-risk population.

Vaping Opioids: Should We Be Worried?

The use of electronic cigarettes (i.e., e-cigarettes or vapes) has increased substantially among youth and young adults. While research has examined vaping cannabis and tetrahydrocannabinol (THC), little exists related to vaping other drugs, such as opioids, despite the fact that opioids are a leading cause of drug overdoses associated deaths in the U.S. The current study aimed to review the current state of the literature related to vaping opioids given our experience of learning about a youth overdose related to vaping opioids in a public high school in the U.S. while we were engaged in conducting community-based research. Peer-reviewed research publications related to vaping opioids are minimal, although there are several newspaper articles published related to vaping opioids, with most being about youth vaping opioids in school. This is concerning given that media often misconstrue substance use, particularly related to fentanyl, and may provide inaccurate information that perpetuates stigma. Thus, it remains unclear the scope of the issue of vaping opioids. Therefore, we propose a call to action for researchers and public health officials outlining recommendations for increased surveillance, interventions to address vaping-related opioid use, and measures to curb serious adverse consequences of vaping-related opioid use to determine whether this is a rising public health concern and offer mitigation strategies.

Reengagement for Long-Term Smoking-Cessation In Military Personnel, Retirees, Family Members (TRICARE): A Randomized Trial.

INTRODUCTION: We sought to determine what type of treatment reengagement after smoking relapse would increase long-term cessation. AIMS AND METHODS: Participants were military personnel, retirees, and family members (TRICARE beneficiaries) recruited across the United States from August 2015 through June 2020. At baseline, consented participants (n = 614) received a validated, four-session, telephonic tobacco-cessation intervention with free nicotine replacement therapy. At the 3-month follow-up, 264 participants who failed to quit or relapsed were offered the opportunity to reengage in cessation. Of these, 134 were randomized into three reengagement conditions: (1) repeat initial intervention ("recycle"), (2) Smoking reduction with eventual cessation goal ("rate reduction"), or (3) Choose #1 or #2 ("choice"). Prolonged abstinence and 7-day point prevalence abstinence were measured at 12 months. RESULTS: Despite being in a clinical trial advertised as having the opportunity for reengagement, only 51% (134 of the 264) of participants who still smoked at 3-month follow-up were willing to reengage. Overall, participants randomized to recycle had higher prolonged cessation rates at 12 months than rate reduction conditions (OR = 16.43, 95% CI: 2.52 to 107.09, Bonferroni adjusted p = .011). When participants who randomly received recycle or rate reduction were pooled, respectively, with participants who chose recycle or rate reduction in the Choice group, recycle had higher prolonged cessation rates at 12 months than rate reduction (OR = 6.50, 95% CI: 1.49 to 28.42, p = .013). CONCLUSIONS: Our findings suggest service members and their family members who fail to quit smoking but are willing to reengage in a cessation program are more likely to benefit from repeating the same treatment. IMPLICATIONS: Finding methods that are both successful and acceptable to reengage people who smoke who want to quit can have a significant impact on improving the health of the public by reducing the portion of the population who smoke. This study suggests that repeating established cessation programs will result in more people ready to quit successfully achieving their goal.

Sexy, trashy, cool: Perceptions of electronic cigarette users across sociodemographic groups and E-cigarette use among United States Air Force Airmen.

E-cigarette use has increased in recent years. Military personnel have higher rates of e-cigarette use than civilian populations, with 15.3% of Air Force recruits using e-cigarettes. The current study assessed associations between perceptions of e-cigarette users and current use of e-cigarettes, and differences in sociodemographic characteristics to determine if there were different beliefs among different groups to inform intervention development among these straight-to-work young adults. Participants (N = 17,314) were United States Air Force Airmen (60.7% White, 29.7% women) who completed a survey during their first week of Technical Training. Regression results indicated that identifying as a man (B = 0.22, SE = 0.02), identifying as Black (B = 0.06, SE = 0.02), reporting younger age (B = -0.15, SE = 0.02), having less education (B = -0.04, SE = 0.02), and current e-cigarette use (B = 0.62, SE = 0.02) were associated with endorsing more positive e-cigarette user perceptions. Identifying as a woman (B = -0.04, SE = 0.02) and being younger (B = -0.06, SE = 0.02) were associated with endorsing more negative perceptions of e-cigarette users. Current e-cigarette use was inversely associated with negative e-cigarette user perceptions (B = -0.59, SE = 0.02). Differences across groups were found for individual e-cigarette user characteristics. Future intervention strategies among Airmen may benefit from addressing e-cigarette user perceptions to change use behaviors, as these perceptions may result in stigmatized beliefs related to e-cigarette users.

Examining Smoking Prevalence Disparities in Virginia Counties by Rurality, Appalachian Status, and Social Vulnerability, 2011-2019.

Objectives. To estimate county-level cigarette smoking prevalence in Virginia and examine cigarette use disparities by rurality, Appalachian status, and county-level social vulnerability. Methods. We used 2011-2019 Virginia Behavioral Risk Factor Surveillance System proprietary data with geographical information to estimate county-level cigarette smoking prevalence using small area estimation. We used the Centers for Disease Control and Prevention's social vulnerability index to quantify social vulnerability. We used the 2-sample statistical t test to determine the differences in cigarette smoking prevalence and social vulnerability between counties by rurality and Appalachian status. Results. The absolute difference in smoking prevalence was 6.16 percentage points higher in rural versus urban counties and 7.52 percentage points higher in Appalachian versus non-Appalachian counties in Virginia (P < .001). Adjusting for county characteristics, a higher social vulnerability index is associated with increased cigarette use. Rural Appalachian counties had 7.41% higher cigarette use rates than did urban non-Appalachian areas. Tobacco agriculture and a shortage of health care providers were significantly associated with higher cigarette use prevalence. Conclusions. Rural Appalachia and socially vulnerable counties in Virginia have alarmingly high rates of cigarette use. Implementation of targeted intervention strategies could reduce cigarette use, ultimately reducing tobacco-related health disparities. (Am J Public Health. 2023;113(7):811-814. https://doi.org/10.2105/AJPH.2023.307298).

Motives of Tobacco Use Among Young Adults in the United States Air Force.

PURPOSE: Research has focused on cigarette use motives and have not included military personnel. The current study assessed tobacco use motives for different products, and differences within males and females and those with different racial identities given historical disparities in tobacco use. DESIGN: A cross-sectional survey about tobacco use was administered from October 2019 to February 2022. SETTING: Four Technical Training bases in the US. SAMPLE: Air Force Airmen who used tobacco (N = 3243). MEASURES: Questions were about sociodemographic characteristics, tobacco use, and the Tobacco Motives Inventory (representing affect regulation, boredom, enhancement, and social motives). ANALYSIS: Linear regressions assessed associations between overall tobacco use and motives. Stratified analyses assessed associations between tobacco use and motives among males and females, and individuals from different racial backgrounds. Logistic regressions assessed differences in motives and use of different tobacco products between "some day" and "everyday" users. RESULTS: Overall, boredom (B = .09, SE = .01) and affect regulation (B = .05, SE = .00) motives were associated with higher tobacco use. Males and females and individuals from different racial backgrounds endorsed different motives, but all endorsed boredom as a motive for higher tobacco use. Individuals who used cigarettes, e-cigarettes, or smokeless tobacco "some days" endorsed higher social motives than everyday users, but everyday users endorsed different motives across products. CONCLUSION: There are motives differentiating between "some day" and "everyday" users of tobacco products, which may need to be differentially targeted in intervention programs. Additionally, there are some overlapping motives (affect regulation, boredom) that may be beneficial to address with all tobacco users.

A randomized controlled trial to reduce post-cessation weight gain.

BACKGROUND/OBJECTIVES: Weight gain is a barrier to smoking cessation. Previous interventions targeting weight gain while quitting smoking have largely been unsuccessful. The current study aimed to assess the efficacy of weight stability and weight loss interventions compared to a low-intensity, self-guided bibliotherapy weight management group. SUBJECTS/METHODS: A randomized controlled trial with 12-month follow-up from 2018 to 2022 was conducted with participants (N = 305) who reported smoking at least five cigarettes per day for the last year and interest in quitting initially recruited from the Memphis, TN, USA area. Recruitment was expanded nationally with the onset of the COVID-19 pandemic. Subsequently, 276 completed 12-month follow-up. INTERVENTIONS/METHODS: The Bibliotherapy group was provided a weight management book. Both the Stability and Loss groups met via telephone for eight weeks to learn strategies for maintaining/losing weight, respectively. All three groups then received the same six-week smoking cessation intervention, with six months of varenicline provided. RESULTS: Individuals in the Loss group lost more weight (-2.01 kg, SE = 1.58) than individuals in the Bibliotherapy group (+1.08 kg, SE = 1.49, p = 0.0004), while the Stability group (-0.30 kg, SE = 1.56) was not significantly different from the Bibliotherapy group (p = 0.17). Those in the Stability group did not gain a significant amount of weight. Participants in the Loss group did not gain back all weight lost after smoking cessation and ended the study approximately 2.01 kg lower than baseline. The Bibliotherapy group did not gain the amount of weight expected after cessation. There were no significant differences between groups related to self-reported smoking cessation at each time point except at eight-month follow-up (p = 0.005). CONCLUSIONS AND RELEVANCE: Results indicated the Stability and the Loss interventions were effective for preventing post-smoking cessation weight gain, with the Loss group having the benefit of sustained weight loss. These interventions may be helpful to implement to combat weight gain and potentially facilitate smoking cessation. TRIAL REGISTRATION: The trial is registered on clinicaltrials.gov (NCT03156660).

Predictors of Re-Engagement after Relapse in a Tobacco Quit Line Intervention: Secondary Analysis from a Randomized Clinical Trial.

People who smoke often make several quit attempts before successfully maintaining abstinence. Therefore, incorporating re-engagement for people who fail to initially quit could increase quit attempts and ultimately increase cessation rates. Within the context of quit line-based interventions, it remains unknown what characteristics are associated with re-engagement. The purpose of this study was to assess associations between demographic and motivational characteristics, tobacco use, and initial intervention engagement with re-engagement in a tobacco quit line intervention. Among 372 adults who reported smoking three months after initiating a quit line-facilitated quit attempt as part of a larger randomized clinical trial, associations between personal characteristics (e.g., age, gender, nicotine dependence, and confidence in their ability to quit smoking) and initial intervention engagement (number of completed counseling sessions and use of nicotine replacement therapy (NRT)) with re-engagement (accepting an offer to re-initiate the quit line intervention) were determined using multivariable logistic regression modeling. Compared to non-White participants, White participants had lower odds of re-engaging (OR: 0.42, 95% CI: 0.23, 0.75). Number of initial counseling sessions completed was associated with re-engaging. NRT use during the initial intervention was not associated with re-engaging. Initial intervention engagement is important in the process of re-engagement, specifically attending counseling sessions. Exploration of associations between initial intervention engagement and potentially modifiable motivational factors is needed to be potentially leveraged in future interventions to maintain continued engagement in cessation among adults who smoke.

Examination of Tobacco-Related Messaging and Tobacco Use over Time among U.S. Military Young Adults.

Background: People from minoritized populations have historically been targeted by tobacco companies. Little is known about exposure to tobacco-related messages among military personnel from disadvantaged backgrounds. Objectives: The current study aimed to examine exposure to tobacco-related messaging across many nicotine products and through a variety of mediums (i.e., family, friends, advertisements, event promotions, social media) among diverse military populations and use one year later in a sample of young adults who recently enlisted in the U.S. Air Force. Methods: In this study, 8,901 U.S. Air Force trainees reported on demographics, tobacco use, and exposure to positive tobacco messages from social sources (i.e., friends, family, social media) and environmental sources (i.e., advertisements and promotions). Tobacco use was reported one-year later. Results: Compared to others of the same reported racial/ethnic background, Latino/a/x (Relative Risk Ratio [RRR] = 1.354, 95% CI: [1.145, 1.563]) and multiracial (RRR = 1.594, 95% CI: [1.173, 2.016]) participants who were exposed to positive tobacco messages from social sources were significantly more likely to report tobacco product use at one-year follow-up than those who were not exposed to social messages. Exposure to positive tobacco messages from environmental sources were not significantly associated with tobacco use one year later. Conclusions: Social messages may play an important role in increasing risk of tobacco use among some minoritized populations. Cultural as well as systemic factors could be addressed in future tobacco prevention programs to decrease the potency of positive tobacco-related social messages among Latino/a/x and multiracial communities.

Young Adults May Be Engaging in Risky Behaviors with their E-Cigarettes.

E-cigarette use has significantly escalated among young adults in recent years. The purpose of the current study was to better understand alternative ways in which young adults use their e-cigarettes in situations where ad-lib use is prohibited. The current study is a secondary analysis to a parent study assessing facilitators and barriers for tobacco use among young adult military personnel. Ten focus groups were conducted with 83 Airmen at the end of their Technical (advanced) Training. Focus group discussions were transcribed and thematic analysis was used to determine trends related to risky e-cigarette use. Participants described using liquids with extremely high nicotine contents or using the e-cigarette so quickly and intensely that they could not stand up or became ill. Results highlight the ease by which individuals can make alterations to their e-cigarettes or their use behaviors, which could potentially increase their risk of nicotine poisoning.

Evaluating the feasibility of pharmacist-facilitated tobacco cessation interventions in independent community pharmacies in rural Appalachia.

BACKGROUND: Smoking rates in the United States are the highest in underserved rural regions. Thus, more points of contact are needed to link smokers to evidence-based cessation programs. OBJECTIVES: The purpose of this study was to conduct an evaluation to determine the feasibility, acceptability, and interest among rural pharmacists in implementing a pharmacist-facilitated smoking cessation program in independent community pharmacies in rural Appalachian communities in Virginia, North Carolina, Tennessee, and West Virginia. METHODS: This study utilized a complementary sequential mixed-methods approach to explore independent community pharmacists and technicians' experiences and beliefs about implementing a tobacco cessation program in their pharmacy. RESULTS: There were 49 pharmacists or technicians who completed the survey and 7 pharmacists who participated in the interviews. Four main findings emerged from the data: 1) pharmacies can help fill the gap in tobacco cessation services in rural communities, 2) under current practice, tobacco cessation resources when offered by independent community pharmacies are not always formalized, 3) there are known barriers, such as reimbursing for services, that need to be addressed to provide tobacco cessation in an independent pharmacy setting, and 4) the Ask-Advise-Connect model is a feasible tobacco cessation approach in a pharmacy. CONCLUSION: Although pharmacists may be ideally situated to build capacity for smoking cessation in rural areas, smoking cessation interventions need to use existing approaches that compensate pharmacists for their time spent counseling patients. Furthermore, simple documentation and billing systems are needed to maximize utilization of tobacco cessation products and services provided in the pharmacy.

"It Depends on Where You Are and What Job You Do": Differences in Tobacco Use across Career Fields in the United States Air Force.

While tobacco use within the military is often discussed as being homogenously part of U.S. military culture, literature from civilian populations highlights that tobacco use varies by career field (e.g., "white collar" vs. "blue collar"). The objective of this qualitative study was to compare tobacco use by career fields in the U.S. Air Force. Airmen, Military Training Instructors, and Technical Training Instructors participated in 22 focus groups across five major Air Force Technical Training bases. Focus groups were conducted in-person using semi-structured interview guides and were audio-recorded. A conventional content-coding approach was used to code transcripts. Participants described substantial variation across the careers, which was attributed to social norms and the nature of jobs. Individuals in careers that spend most of their time outside were more likely to permit tobacco use. Conversely, tobacco use was seen as stigmatized in medical fields. Additionally, smokeless tobacco was identified as popular in certain careers because it could be used covertly on the job. Findings suggest that a one-size-fits-all approach to reducing tobacco use through policies and programs may not reflect the realities of military tobacco use. These findings may provide insights into other branches of the U.S. military with similar career fields.

Rationale, design, and methods for the development of a youth adapted Brief Tobacco Intervention plus automated text messaging for high school students.

BACKGROUND: Tobacco use is increasing among youth in the U.S. The current study seeks to develop and pilot test a universal group-based Youth Brief Tobacco Intervention (Y-BTI) plus mobile phone automated text messaging (ATM) for 9th grade students to both prevent initiation among non-users and promote cessation among current users. METHODS: This study will use a sequential, multi-method research design beginning with mixed methods formative work with 9th grade students to adapt the existing young adult Brief Tobacco Intervention (BTI) for youth and develop automated text messages. The formative work with students will identify salient themes and strategies for the interventions and optimal delivery schedules for the ATM intervention. The second phase of the study evaluates the Y-BTI and ATM through a pilot cluster randomized controlled trial that compares four treatment combinations: (1) Y-BTI + ATM, (2) Y-BTI alone, (3) ATM alone, or (4) standard of care. The Y-BTI is a single session, group-based intervention delivered in schools. The ATM intervention will provide comparable content to the Y-BTI but be delivered via text messaging 3-5 times per week for four weeks. CONCLUSION: In order to curb the rise of tobacco use among youth, interventions that are easily implemented and disseminated need to be developed. We aim to build upon previous research by showing that a universal group-based Y-BTI and ATM are effective in reducing tobacco use among a 9th graders by preventing initiation among tobacco naïve youth and promoting cessation among current users.

Predictors of Cessation Outcomes Among Older Adult Smokers Enrolled in a Proactive Tobacco Quitline Intervention.

OBJECTIVES: To identify predictors of older adults' likelihood of quitting following engagement in a proactive tobacco quit line. METHODS: Older (>60 years) participants (N = 186) enrolled in a four-session quit line with 8-weeks of nicotine replacement therapy reported demographics, beliefs, and information about tobacco use. Point prevalence abstinence was reported at 3 and 12-months. RESULTS: In final models, endorsement of quitting to take control of one's life and confidence in quitting were positively associated with 3-month cessation (OR = 1.74, 95% CI = 1.16, 2.62; OR = 1.75, 95% CI = 1.21, 2.52, respectively). At 12 months, stronger endorsement of quitting to take control of one's life and decreased nicotine dependence were associated with higher cessation (OR = 1.51, 95% CI = 1.05, 2.17; OR = 0.84, 95% CI = 0.71,0.99, respectively). DISCUSSION: For tobacco cessation among older adults, programs should provide additional support to those with higher nicotine dependence, promote quitting self-efficacy, and encourage quitting as means to gain control of life and health.

Using the Socio-ecological Model to Explore Facilitators and Deterrents of Tobacco Use Among Airmen in Technical Training.

INTRODUCTION: Military personnel have some of the highest rates of tobacco use in the USA. Within the Air Force, a common point of Airmen's (re-)initiation of tobacco use is during technical training once the tobacco ban has been lifted. Unfortunately, little is known about what factors facilitate and deter tobacco use during technical training. The socio-ecological model, which emphasizes multiple levels of influence on behavior (e.g., personal, intrapersonal, and environmental), provides a strong and comprehensive basis for which to explore factors that may impact tobacco use during technical training. MATERIALS AND METHODS: Twenty-two focus groups were conducted among Airmen (n = 10), Military Training Leaders (MTLs, n = 7), and Technical Training Instructors (TTIs, n = 5). Semi-structured focus group protocols were developed based on the socio-ecological model and included questions intended to elicit factors that facilitated and deterred tobacco use during technical training. Focus groups were transcribed and then coded using a hybrid deductive-inductive process. RESULTS: At the personal level, five factors were identified that influenced tobacco use: choice, fit with lifestyle, associations with the tobacco experience, association with military job outcomes, and association with health outcomes. Three interpersonal level factors were identified: peer influence, leadership influence, and normative beliefs. There were two influential environmental level factors: pricing and promotion and access to tobacco. Except for normative beliefs, all personal, interpersonal, and environmental-level factors were discussed as having aspects that could either facilitate or deter tobacco use. Normative beliefs, an interpersonal-level factor, were only discussed as a facilitator of tobacco use. CONCLUSIONS: Taken together, study findings can be used to enhance the effectiveness of tobacco prevention and cessation programs for Air Force Technical Trainees. Specific strategies to support the reduction of tobacco use among Airmen are presented.