Tobacco Quitline utilization compared with cigarette smoking prevalence in Virginia across rurality and Appalachian Status, 2011-2019.

Introduction: While cigarette smoking rates have declined, rural and Appalachian populations in the United States have not seen similar decreases. Quitline programs are promising strategies in reducing disparities in these areas, but research on their usage is limited. Methods: We employed Small Area Estimation on the Virginia Behavioral Risk Factor Surveillance System (2011-2019) to estimate county-level smoking prevalence and utilized The Quit Now Virginia Quitline data (2011-2019) to estimate Quitline users. We analyzed differences in Quitline utilization by rurality and Appalachian status using statistical t-tests. Stepwise regression assessed the absolute estimate of county features, including poverty rate, tobacco retailer density, physician availability, coal mining industry, and tobacco agriculture, on Quitline usage. Results: While the average smoking rate overall was 15.3 %, only 7.4 % of smokers accessed Quitline services from 2011 to 2019. Appalachian regions exhibited higher smoking rates (20.9 %) and lower quitline usage (4.8 %) compared to non-Appalachian areas (14 % smoking prevalence, 8 % quitline usage). Rural regions had higher smoking prevalence (19.0 %) than urban areas (12.9 %), but no significant difference in Quitline utilization (7.6 % vs. 7.2 %, p = 0.7). Stepwise regression revealed counties with more tobacco agriculture had 3.2 % (p = 0.04) lower Quitline utilization. Also, more physicians availability in the county was associated with 3.9 % higher Quitline usage (p = 0.03) and Appalachian counties exhibited a 3.6 % lower Quitline usage rate compared to non-Appalachian counties. Conclusion: A significant gap exists between cigarette smoking prevalence and Quitline utilization, particularly in underserved rural and Appalachian areas, despite no clear barriers to accessing this remote cessation resource. Implication: The study underscores persistent disparities in smoking rates, with rural and Appalachian regions in the United States facing higher smoking prevalence and limited utilization of Quitline services. Despite no clear barriers to access, the gap between smoking prevalence and Quitline usage remains significant, particularly in underserved areas. Tailoring interventions to address regional disparities and factors like tobacco agriculture and physician availability is essential to reduce smoking rates and improve Quitline utilization in these communities.

Overweight/obesity, gestational weight gain, postpartum weight retention, and maternal/neonatal complications in the military.

OBJECTIVE: The objective of this study was to examine the prevalence of overweight/obesity and excessive gestational weight gain (GWG) among military beneficiaries and to assess associations of these risk factors with maternal/neonatal complications and substantial postpartum weight retention (PPWR). METHODS: We obtained data for 48,391 TRICARE beneficiaries who gave birth in 2018 or 2019 in the United States. We used logistic regression and ANOVA to examine relationships among overweight/obesity, GWG, maternal/neonatal complications, and substantial PPWR. RESULTS: Most TRICARE beneficiaries (75%) had excessive GWG, and 42% had substantial PPWR. Dependents were less likely than active-duty women to have excessive GWG (odds ratio [OR] = 0.73, 95% CI: 0.60-0.88). Women with excessive GWG were three times more likely to have substantial PPWR (OR = 3.57, 95% CI: 3.14-4.06). Those with excessive GWG were more likely to have maternal/neonatal complications (e.g., pregnancy-induced hypertension, cesarean delivery). CONCLUSIONS: Excessive GWG is frequent among TRICARE beneficiaries, particularly active-duty personnel, and is strongly associated with costly maternal/neonatal complications. Substantial PPWR is also common in this population, with excessive GWG as a key risk factor.

Healthful Eating Behaviors among Couples Contribute to Lower Gestational Weight Gain.

Through longitudinal analysis from the GLOWING cohort study, we examined the independent and joint relationships between couples' eating behaviors and gestational weight gain (GWG). Pregnant persons (n = 218) and their non-pregnant partners (n = 157) completed an Eating Inventory. GWG was calculated as gestation weight at 36 weeks minus that at 10 weeks. General linear models were used to examine the relationships between GWG and the pregnant persons, non-pregnant partners, and couples (n = 137; mean of pregnant persons and non-pregnant partners) cognitive restraint (range 0-21), dietary disinhibition (range 0-18), and perceived hunger (range 0-14), with higher scores reflecting poorer eating behaviors. The adjusted models included race/ethnicity, education, income, marital status, and age. The pregnant persons and their non-pregnant partners' cognitive restraint, dietary disinhibition, and perceived hunger scores were 9.8 ± 4.7, 4.8 ± 3.2, and 4.4 ± 2.5 and 6.6 ± 4.6, 5.4 ± 3.4, and 4.7 ± 3.2, respectively. Higher cognitive restraint scores among the pregnant persons and couples were positively associated with GWG (p ≤ 0.04 for both). Stratified analyses revealed this was significant for the pregnant persons with overweight (p ≤ 0.04). The non-pregnant partners' eating behaviors alone were not significantly associated with GWG (p ≥ 0.31 for all). The other explored relationships between GWG and the couples' eating behaviors were insignificant (p ≥ 0.12 for all). Among the pregnant persons and couples, reduced GWG may be achieved with higher levels of restrained eating. Involving non-pregnant partners in programs to optimize GWG may be beneficial.

Identification of minimum thresholds for dietary self-monitoring to promote weight-loss maintenance.

OBJECTIVE: Reduced schedules of dietary self-monitoring are typically recommended after the end of behavioral weight-loss programs; however, there exists little empirical evidence to guide these recommendations. METHODS: We explored potential thresholds for dietary self-monitoring during a 9-month maintenance period following a 3-month weight-loss program in 74 adults with overweight or obesity (mean [SD] age = 50.7 [10.4] years, BMI = 31.2 [4.5] kg/m2) who were encouraged to self-monitor weight, dietary intake, and physical activity daily and report their adherence to self-monitoring each week via a study website. RESULTS: Greater self-monitoring was correlated with less weight regain for thresholds of ≥3 days/week, with the largest benefit observed for thresholds of ≥5 to ≥6 days/week (all p < 0.05); significant weight gain was observed for thresholds of ≥1 to ≥2 days/week, whereas no change in weight was observed for thresholds of ≥3 to ≥4 days/week, and weight loss was observed with thresholds of ≥5 or more days/week. CONCLUSIONS: Results demonstrate that self-monitoring at least 3 days/week may be beneficial for supporting long-term maintenance, although greater benefit (in relation to weight loss) may be realized at thresholds of 5 to 6 days/week. Future research should investigate whether individuals who were randomized to self-monitor at these different thresholds demonstrate differential patterns of weight-loss maintenance.

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.

Impact of Weight Concern on Post-Cessation Weight Management, Smoking Cessation, and Program Engagement.

PURPOSE: Weight concern is a barrier to smoking cessation. We examined the impact of weight concern on post-cessation weight gain, abstinence and program engagement. DESIGN: Randomized-controlled trial. SETTING: Telephone-based and group-based intervention sessions. SUBJECTS: 305 participants were randomized and analyzed. INTERVENTION: Participants were randomized to receive a self-guided intervention, a weight loss intervention, or a weight stability intervention prior to all receiving the same smoking cessation intervention. MEASURES: Level of weight concern on three measures, point-prevalence abstinence, weight change, and session attendance at 12 months. ANALYSIS: Continuous and discrete outcomes were compared between weight-concerned and non-weight-concerned participants using two-sample t-tests and chi-square tests respectively. RESULTS: There were no significant differences in weight change (range: +1.77, -1.91 kg) when comparing weight-concerned and non-weight-concerned participants. Point-prevalence abstinence ranged from 36% to 64%, with no differences by condition based on level of weight concern. There were no significant differences in session attendance by weight concern (Weight sessions: 50-70%, Smoking cessation sessions: 41-56%, Booster sessions: 28-45%). Weight concern, on all measures, significantly decreased between screening and 2 months (after the weight management intervention), for most of the comparisons made overall and by condition. CONCLUSION: It may not be necessary to screen for weight concerns in smoking cessation and/or post-cessation weight management programs, as the trial interventions were beneficial regardless of weight concern.

Digital health interventions for all? Examining inclusivity across all stages of the digital health intervention research process.

Digital interventions offer many possibilities for improving health, as remote interventions can enhance reach and access to underserved groups of society. However, research evaluating digital health interventions demonstrates that such technologies do not equally benefit all and that some in fact seem to reinforce a "digital health divide." By better understanding these potential pitfalls, we may contribute to narrowing the digital divide in health promotion. The aim of this article is to highlight and reflect upon study design decisions that might unintentionally enhance inequities across key research stages-recruitment, enrollment, engagement, efficacy/effectiveness, and retention. To address the concerns highlighted, we propose strategies including (1) the standard definition of "effectiveness" should be revised to include a measure of inclusivity; (2) studies should report a broad range of potential inequity indicators of participants recruited, randomized, and retained and should conduct sensitivity analyses examining potential sociodemographic differences for both the effect and engagement of the digital interventions; (3) participants from historically marginalized groups should be involved in the design of study procedures, including those related to recruitment, consent, intervention implementation and engagement, assessment, and retention; (4) eligibility criteria should be minimized and carefully selected and the screening process should be streamlined; (5) preregistration of trials should include recruitment benchmarks for sample diversity and comprehensive lists of sociodemographic characteristics assessed; and (6) studies within trials should be embedded to systematically test recruitment and retention strategies to improve inclusivity. The implementation of these strategies would enhance the ability of digital health trials to recruit, randomize, engage, and retain a broader and more representative population in trials, ultimately minimizing the digital divide and broadly improving population health.

Impact of feedback generation and presentation on self-monitoring behaviors, dietary intake, physical activity, and weight: a systematic review and meta-analysis.

Self-monitoring of dietary intake, physical activity, and weight is a key strategy in behavioral interventions, and some interventions provide self-monitoring feedback to facilitate goal setting and promote engagement. This systematic review aimed to evaluate whether feedback increases intervention effectiveness, and which forms of feedback presentation (e.g., personalized vs. not personalized) and generation (i.e., human vs. algorithm-generated) are most effective. To achieve this aim, 5 electronic databases (PubMed/MEDLINE, Web of Science, CINAHL, PsycINFO, and Google Scholar) were searched in April 2022 and yielded 694 unique records, out of which 24 articles reporting on 19 studies were included (with a total of 3261 participants). Two reviewers independently screened titles and abstracts and then full texts and categorized articles as eligible or excluded according to the pre-registered criteria (i.e., availability of full text, peer reviewed manuscript in English; adult participants in a randomized controlled trial that included both self-monitoring and feedback; comparisons of different forms of feedback or comparisons of feedback vs. no feedback; primary outcomes of diet, physical activity, self-monitoring behavior, and/or weight). All included studies were assessed for methodological quality independently by two reviewers using the revised Cochrane risk-of-bias tool for randomized studies (version 2). Ten studies compared feedback to no feedback, 5 compared human- vs. algorithm-generated feedback, and the remaining 4 studies compared formats of feedback presentation (e.g., frequency, richness). A random effects meta-analysis indicated that physical activity interventions with feedback provision were more effective than physical activity interventions without feedback (d = 0.73, 95% CI [0.09;1.37]). No meta-analysis could be conducted for other comparisons due to heterogeneity of study designs and outcomes. There were mixed results regarding which form of feedback generation and presentation is superior. Limitations of the evidence included in this review were: lack of details about feedback provided, the brevity of most interventions, the exclusion of studies that did not isolate feedback when testing intervention packages, and the high risk of bias in many studies. This systematic review underlines the importance of including feedback in behavioral interventions; however, more research is needed to identify most effective forms of feedback generation and presentation to maximize intervention effectiveness.Trial registration (PROSPERO)CRD42022316206.

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.

Reducing intervention- and research-induced inequalities to tackle the digital divide in health promotion.

Social inequalities are an important contributor to the global burden of disease within and between countries. Using digital technology in health promotion and healthcare is seen by some as a potential lever to reduce these inequalities; however, research suggests that digital technology risks re-enacting or evening widening disparities. Most research on this digital health divide focuses on a small number of social inequality indicators and stems from Western, educated, industrialized, rich, and democratic (WEIRD) countries. There is a need for systematic, international, and interdisciplinary contextualized research on the impact of social inequality indicators in digital health as well as the underlying mechanisms of this digital divide across the globe to reduce health disparities. In June 2023, eighteen multi-disciplinary researchers representing thirteen countries from six continents came together to discuss current issues in the field of digital health promotion and healthcare contributing to the digital divide. Ways that current practices in research contribute to the digital health divide were explored, including intervention development, testing, and implementation. Based on the dialogue, we provide suggestions for overcoming barriers and improving practices across disciplines, countries, and sectors. The research community must actively advocate for system-level changes regarding policy and research to reduce the digital divide and so improve digital health for all.

The potential for graphical abstracts to enhance science communication.

Science communication, including formats such as podcasts, news interviews, or graphical abstracts, can contribute to the acceleration of translational research by improving knowledge transfer to patient, policymaker, and practitioner communities. In particular, graphical abstracts, which are optional for articles published in Translational Behavioral Medicine as well as many other journals, are created by authors of scientific articles or by editorial staff to visually present a study's design, findings, and implications, to improve comprehension among non-academic audiences. The use of graphical abstracts in scientific journals has increased in the past 10-15 years; however, most scientists are not trained in how to develop them, which presents a challenge for creating graphical abstracts that engage the public. In this article, the authors describe graphical abstracts and offer suggestions for their construction based on the extant literature. Specifically, graphical abstracts should use a solid background, employ an easily readable font, combine visuals with words, convey only the essential study design information and 1-3 "take-home" points, have a clear organizational structure, contain restrained and accessible use of color, use single-color icons, communicate ways to access the full-text article, and include the contact information for the lead author. Authors should obtain feedback on graphical abstract drafts prior to dissemination. There is emerging research on the benefits of graphical abstracts in terms of impact and engagement; however, it will be essential for future research to determine how to optimize the design of graphical abstracts, in order to engage patient, policymaker, and practitioner communities in improving behavioral health.

It is important that scientists find ways to make their discoveries easier to understand by the public to help turn research into action. Graphical abstracts are a fairly new strategy for communicating science using pictures and words. They focus on just the important details of the study and the key points to remember. In this article, we describe the existing research about how to create engaging graphical abstracts. For example, graphical abstracts should have clear organization, use a solid background, employ an easily readable font, use simple pictures, contain restrained and accessible use of color, provide access the full article, and include the contact information for the lead author. Authors should get feedback on the graphical abstract prior to sharing it. We also discuss how graphical abstracts may improve access to research discoveries. However, more research is necessary on how to improve the design of graphical abstracts, to better engage patient, policymaker, and provider communities in improving health.

Importance of self-weighing to avoid post-cessation weight gain: A secondary analysis of the fit and quit randomized trial.

Background: Smoking cessation is associated with weight gain, and the risk of weight gain is a common deterrent to quitting smoking. Thus, the identification of strategies for reducing post-smoking cessation weight gain is critical. Objective: Conduct secondary analysis of data from the Fit & Quit trial to determine if greater frequency of self-weighing is associated with less weight gain in the context of smoking cessation. Methods: Participants (N = 305) were randomized to one of three 2-month weight interventions (i.e., Stability, Loss, Bibliotherapy), followed by a smoking cessation intervention. Stability and Loss conditions received different types of self-weighing feedback. All participants received e-scales at baseline, to capture daily self-weighing data over 12 months. General linear models were applied to test the main objective. Results: Frequency of self-weighing was (mean ± SD) 2.67 ± 1.84 days/week. The Stability condition had significantly higher self-weighing frequency (3.18 ± 1.72 days/week) compared to the Loss (2.51 ± 1.99 days/week) and the Bibliotherapy conditions (2.22 ± 1.63 days/week). Adjusting for baseline weight and treatment condition, self-weighing 3-4 days/week was associated with weight stability (-0.77 kg, 95% CI: -2.2946, 0.7474, p = 0.3175), and self-weighing 5 or more days/week was associated with 2.26 kg weight loss (95% CI: -3.9249, -0.5953, p = 0.0080). Conclusions: Self-weighing may serve as a useful tool for weight gain prevention after smoking cessation. Feedback received about self-weighing behaviors and weight trajectory (similar to the feedback Stability participants received) might enhance adherence.

Gestational Weight Gain During the COVID-19 Pandemic.

INTRODUCTION: Healthy gestational weight gain (GWG) is associated with improved pregnancy and delivery outcomes. The COVID-19 pandemic changed eating behaviours and physical activity, and thus may have impacted GWG. This study examines the impact of the COVID-19 pandemic on GWG. METHODS: Participants (N = 371, 86% of the larger study) were part of a study focused on GWG among TRICARE beneficiaries (i.e., active-duty military personnel and other beneficiaries). Participants were randomized to two treatment groups (GWG intervention (n = 149 pre-COVID and n = 98 during COVID), and usual care condition (n = 76 pre-COVID and n = 48 during COVID). GWG was calculated as the difference between screening weight and at 36 weeks gestation. Participants who delivered prior to the COVID-19 pandemic (March 1, 2020, N = 225) were compared to participants whose pregnancies occurred during the pandemic (N = 146). RESULTS: We found no significant difference in GWG between those who delivered prior to the pandemic (11.2 ± 4.3 kg) and those whose pregnancies occurred during COVID-19 (10.6 ± 5.4 kg), with no effect of intervention arm. While excessive GWG was higher pre-COVID (62.8%) than during the pandemic (53.7%), this difference was not significant overall or by intervention arm. In addition, we found lower attrition during the pandemic (8.9%) than in the pre-COVID period (18.7%). DISCUSSION: In contrast to prior research that indicated challenges with engaging in health behaviors during the COVID-19 pandemic, we found that women did not have increased GWG or higher odds of excessive GWG. This research contributes to our understanding of how the pandemic impacted pregnancy weight gain and engagement in research.

"I don't just say, Hi! I'm gay": Sexual Orientation Disclosures in Oncology Clinic Settings Among Sexual Minority Women Treated for Breast Cancer in the U.S. South.

OBJECTIVES: Few studies examine sexual orientation disclosures (SODs) among women with breast cancer; fewer examine the impact of culture and geography on disclosure processes. This study explores how sexual minority women (SMW) in the Southern United States engage in SODs with oncology clinicians. DATA SOURCES: We conducted in-depth interviews with SMW (eg, lesbian, bisexual) treated for early-stage (stages I-III), hormone receptor-positive breast cancer (N = 12), using a semistructured interview guide. Participants completed an online survey prior to the 60-minute interview. Data was analyzed using an adapted pile sorting approach and thematic analysis conventions. CONCLUSION: Average age of participants was 49.5 years (range: 30-69), all self-identified as cisgender; 83.3% as lesbian, 58.3% were married, 91.7% had completed a 4-year college degree or higher, 66.7% identified as non-Hispanic White, 16.7% as Black, and 16.7% as Hispanic/Latina. Half of the sample had not engaged in SODs with an oncology clinician. Key themes were: (1) religious and political conservatism in the South create SOD barriers; (2) oncologist-specific barriers to SODs; (3) "straight passing" as a discrimination mitigation strategy; and (4) SOD facilitators in oncology settings (ie, strategic disclosures, medical privilege, and lesbian, gay, bisexual, and transgender-friendly branding of oncology centers). IMPLICATIONS FOR NURSING PRACTICE: SMW with breast cancer living in the U.S. South navigate unique interpersonal barriers to SODs in oncology settings. Clinicians could encourage SODs by fostering inclusive environments via nonheteronormative language, inclusive intake forms, and respect for SMW's SOD navigation processes. Oncology clinicians require culturally relevant, geographic-specific communication training to facilitate SODs among SMW.

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).

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.