Predicting COVID-19 Vaccination Intentions to Inform Evidence-Based Messaging for Building Vaccine Confidence Among Rural Americans.

PURPOSE: Examine possible message topics to promote rural vaccination using psychosocial antecedents of vaccination. DESIGN: Cross-sectional survey administered by Research America, Inc. SETTING: West Virginia (WV). SAMPLE: 756 WV adults via convenience sample (n = 370; ∼2% response rate from online panel of ∼20 000 WV residents), and random digit dial of landlines (n = 174; ∼1% response rate from 18 432 numbers) and cellphones (n = 212; ∼1% response rate from 20 486 numbers). MEASURES: Outcome measures included self-reported vaccination intention and behavior. Predictor measures, rooted in theories of social and behavioral science that have been found to be predictive of vaccination outcomes (i.e., Reasoned Action Approach, Extended Parallel Process Model), included perceived severity and susceptibility, negative affect, instrumental and affective attitudes, social norms, self-efficacy, response efficacy, and perceived control. ANALYSIS: Multivariate linear regression for intention and logistic regression for behavior. RESULTS: Intention was positively predicted by affective attitude, ß = .30, P < .05, instrumental attitude, ß = .19, P < .05, response efficacy, ß = .19, P < .05, negative affect, ß = .16, P < .05, self-efficacy, ß = .13, P < .05, and subjective norm, ß = .13, P < .05, F(10, 267) = 30.12, Adj. R2 = .53. Vaccination status was predicted by instrumental attitude, exp(B) = 2.09, and subjective norm, exp(B) = 2.00, Pseudo R2 = .29, log likelihood = 125.11, χ2(10) = 38.34, P < .05. Promising message targets were instrumental attitude, M = 3.21, SD = 1.46, and subjective norms, M = 3.76, SD = 1.71. CONCLUSION: COVID-19 vaccine confidence messages should address (1) positive feelings and safety perceptions, (2) vaccination's effectiveness in preventing serious COVID-19, and (3) subjective vaccination norms.

Perceptions and Expectations of School-Based Professionals Surrounding School-Based Mindfulness Training in Appalachia During the COVID-19 Pandemic: A Qualitative Study.

Background: School-based professionals often report high burnout, particularly in geographic areas like Appalachia, where school-aged children are exposed to high levels of adverse childhood experiences, which may be exacerbated by the COVID-19 pandemic. While school-based mindfulness trainings can reduce burnout, their efficacy is influenced by the expectations of intervention personnel ahead of implementation. The present study assessed expectations and perceptions of a school-based mindfulness training among school personnel in 21 Appalachian schools during the COVID-19 pandemic. Methods: Upon enrollment in the training, staff (N = 191) responded to open ended survey questions regarding perceived impacts of COVID-19 on students, expected benefits and barriers to school-based mindfulness, and perceived community acceptance of mindfulness. Results: School personnel identified social isolation and lack of structure as negative impacts of COVID-19 on students. Expected benefits of classroom mindfulness included improved coping skills, focus, and emotion regulation, whereas barriers included lack of time and student ability level (e.g., age, attention). While most respondents indicated that their community was accepting of mindfulness practices, some noted resistance to and misperceptions of mindfulness, which may illustrate the influence of local cultural norms and values on the acceptability of mental health interventions. Conclusions: Overall, these findings suggest positive expectations and relative perceived support for mindfulness practices within these Appalachian communities, including in response to negative impacts of the COVID-19 pandemic on students. Adapting practices and language to accommodate barriers such as time, student ability, and cultural misconceptions of mindfulness may increase the feasibility and efficacy of these interventions.

Informatics-Supported Diabetes Prevention Programming in West Virginia.

Addressing diabetes, prediabetes, and related health conditions such as high blood pressure, high cholesterol, obesity, and physical inactivity are critical public health priorities for the United States, particularly West Virginia. Preventing chronic conditions through early identification of risk and intervention to reduce risk is essential. Primary care and community-based programs need a more connected informatics system by which they work in tandem to identify, refer, treat, and track target populations. This case study in quality improvement examines the effectiveness of national diabetes prevention programming in West Virginia via the West Virginia Health Connection initiative, which was designed to provide such an informatics structure. Cohort analysis reveals an average weight loss of 13.6 pounds-or 6.3 percent total body weight loss-per person. These changes represent decreased risk of diabetes incidence and increased healthcare savings. Lessons learned are applicable to other areas aiming to build and sustain a data-informed health analytics network.

Applying the Medications at Transitions and Clinical Handoffs Toolkit in a Rural Primary Care Clinic: Implications for Nursing, Patients, and Caregivers.

BACKGROUND: Adequate medication reconciliation is related to patients' safety. Rural populations are at increased risk of adverse drug events due to errors in medication reconciliation and often receiving medical care across multiple health care entities and across long distances with separate electronic medical records. METHODS: This study examined the implementation of Medications at Transitions and Clinical Handoffs Toolkit (MATCH) in a rural primary care clinic and assessed the acceptability and feasibility of implementation. INTERVENTION: MATCH was developed as a workflow process intervention to improve medication reconciliation. RESULTS: Findings from MATCH implementation indicate that the process improved medication reconciliation workflow. A shared definition of current medications across providers and patients was essential. CONCLUSIONS: Empowering patients and caregivers with tools and language to work with providers, particularly nurses, to conduct medication reconciliation during primary care clinic visits is key to improving patient medication reconciliation in rural settings.

Translating School Physical Education and Activity Policies into Practice: A Case Study.

BACKGROUND: Public health experts recommend school-based policies as a population based approach to increase youth physical activity. The purpose of this case study is to describe one, largely rural, state's efforts to translate this recommendation into practice. Details about the genesis, implementation and evolution of two state level policies (physical education and physical activity), as well as in-house efforts of a State Department of Education to monitor policy compliance and challenges encountered are described. Two specific years are highlighted, due to policy and monitoring enhancements made during those particular time periods. METHODS: Data for this paper come from the West Virginia Department of Education for two time periods: 2013-2014 and 2014-2015 (n=369 elementary schools). Descriptive statistics for quantitative data and content analysis for qualitative data were used to document school level compliance and provide context for implementation challenges. RESULTS: Greater than 70% of school principals reported achievement of physical education and physical activity policy expectations for each year. Limited staff was the predominant explanation for nonfulfillment of physical education expectations, followed by lack of time and facilities. Recess and classroom-based physical activity were the primary strategies used to comply with the physical activity expectations. PE and PA policy compliance varied significantly by certain school characteristics in each school year studied. CONCLUSIONS: Further investigation is warranted on how states translate public health policy recommendations into practice, including how physical education and physical activity policies are developed and monitored at the state level and how to support states and schools with monitoring and implementation challenges.

A Latent Class Analysis of the Co-occurrence of Risk Behaviors among Adolescents.

Objectives: In this study, we examined the co-occurrence of multiple health-risk behaviors to determine whether there are any differences in the pattern of co-occurrence by sex. Methods: We conducted latent class analysis using the national 2013 Youth Risk Behavior Survey data for the overall sample, and separately by sex (N = 13,583). Results: Over half of the sample (53%) belonged to the low risk subgroup (Class 1). Class 2 accounted for 15% of adolescents, and over 40% in this subgroup reported riding with a drunk driver, and 63% reported texting while driving a vehicle. Over 14% belonged to Class 3, which had a higher probability of being depressed and suicidal (81% and 64%, respectively). Class 4 accounted for over 9% of adolescents who reported high probabilities for current cigarette (97%), tobacco (99%), and alcohol use (73%); and over half reported current marijuana use (52%). Class 5 accounted for 8.5% of adolescents identified as high-risk polysubstance users. Analyses showed differences by sex in the pattern of co-occurrences. Conclusion: Several adolescent risk behaviors are interrelated regardless of sex. However, sex differences in the higher probability of depressive symptoms and suicidality among girls highlight the need for interventions that consider the demographic composition of adolescents.

MedManage: The development of a tool to assist medication reconciliation in a rural primary care clinic.

BACKGROUND: Medication reconciliation is a critical step in the health care process to prevent hospital readmission, adverse drug events, and fall prevention. The purpose of the study was to pilot test a medication reconciliation process, MedManage, informed by the Medications at Transitions and Clinical Handoffs (MATCH) toolkit with nursing staff in a rural primary care clinic. METHODS: The research team conducted 38 chart audits of high-risk patients, and preintervention and postintervention were conducted to assess changes in medications reported by patients. The intervention included a chart audit tool and medication reconciliation tool created by the interdisciplinary team, MedManage, were pilot tested in the clinic. CONCLUSIONS: The Use of MedManage resulted in improvements in patient reporting of over-the-counter (82% of patients reported previously unrecorded OTCs), PRN medications (3% unreported), and herbal supplements/vitamins (28% reported previously unrecorded vitamins). IMPLICATIONS FOR PRACTICE: MedManage may be an effective tool to assist clinical nursing staff to attain a more complete and accurate medication list from patients and should be assessed more broadly across rural primary care clinics.

Challenges of enforcing cell phone use while driving laws among police: a qualitative study.

BACKGROUND: Cell phone use while driving laws do not appear to be heavily enforced in the USA. This study seeks to gain law enforcements' perspective and learn potential barriers to cell phone law enforcement. METHODS: Qualitative interviews (ie, focus groups) were conducted with officers (N=19) from five West Virginia law enforcement agencies. The officers who participated were >18 years of age, sworn into their departments and employed in law enforcement for >1 year. Focus group sessions lasted 45-60 min and followed a standardised, pilot-tested script. These sessions were audio recorded and transcribed. Qualitative content analysis was employed among three researchers to determine themes surrounding enforcement. RESULTS: Four themes emerged including current culture, the legal system, the nature of police work and issues with prevention. Specific barriers to enforcement included cultural norms, lack of perceived support from courts/judges, different laws between states, the need for a general distracted driving law, unclear legislation, officers' habits and perceived risk, wanting to maintain a positive relationship with the public, not being able to see the driver (impediments of vehicle design, time of day), phones having multiple functions and not knowing what drivers are actually doing, risk of crashing during traffic stops and lack of resources. Prevention activities were debated, and most felt that technological advancements implemented by cell phone manufacturers may deter use. CONCLUSIONS: Numerous barriers to cell phone law enforcement exist. Legislation could be amended to facilitate enforcement. Prevention opportunities exist to deter cell phone use while driving.

An Electronic Health Record Data-driven Model for Identifying Older Adults at Risk of Unintentional Falls.

Screening for risk of unintentional falls remains low in the primary care setting because of the time constraints of brief office visits. National studies suggest that physicians caring for older adults provide recommended fall risk screening only 30 to 37 percent of the time. Given prior success in developing methods for repurposing electronic health record data for the identification of fall risk, this study involves building a model in which electronic health record data could be applied for use in clinical decision support to bolster screening by proactively identifying patients for whom screening would be beneficial and targeting efforts specifically to those patients. The final model, consisting of priority and extended measures, demonstrates moderate discriminatory power, indicating that it could prove useful in a clinical setting for identifying patients at risk of falls. Focus group discussions reveal important contextual issues involving the use of fall-related data and provide direction for the development of health systems-level innovations for the use of electronic health record data for fall risk identification.

Physical Activity and Quit Motivation Moderators of Adolescent Smoking Reduction.

OBJECTIVES: We examined participant characteristics as moderators of adolescents' smoking cessation outcomes as a function of intervention: Not-on-Tobacco (N-O-T), N-O-T with a physical activity (PA) module (N-O-T+FIT), or Brief Intervention (BI). METHODS: We randomly assigned youth (N = 232) recruited from public high schools to an intervention, and measured their baseline levels of PA and motivation to quit. The number of cigarettes/day for weekdays and weekends was obtained at baseline and 3-month follow-up. RESULTS: Across timepoints, cigarette use declined for youth in N-O-T (p = .007) and N-O-T+FIT (ps < .02), but not BI (n.s.). For N-O-T+FIT youth, the steepest declines in weekday smoking occurred for those with high PA levels (p = .02). Weekend cigarette use decreased for N-O-T+FIT youth with moderate-high levels of intrinsic motivation to quit (ps < .04). CONCLUSIONS: Adolescents may benefit from interventions designed to address the barriers faced during a quit attempt, including their motivation to make a change and their engagement in other healthy behaviors such as physical activity.

Use of the triglyceride to HDL cholesterol ratio for assessing insulin sensitivity in overweight and obese children in rural Appalachia.

BACKGROUND: Studies have suggested that triglyceride to HDL-cholesterol ratio (TRG/HDL) is a surrogate marker of insulin resistance (IR), but information regarding its use in pediatric patients is limited. This study investigated the ability of TRG/HDL ratio to assess IR in obese and overweight children. METHODS: The sample consisted of de-identified electronic medical records of patients aged 10-17 years (n=223). Logistic regression was performed using TRG/HDL ratio as a predictor of hyperinsulinemia or IR defined using homeostasis model assessment score. RESULTS: TRG/HDL ratio had limited ability to predict hyperinsulinemia (AUROC 0.71) or IR (AUROC 0.72). Although females had higher insulin levels, male patients were significantly more likely to have hypertriglyceridemia and impaired fasting glucose. CONCLUSIONS: TRG/HDL ratio was not adequate for predicting IR in this population. Gender differences in the development of obesity-related metabolic abnormalities may impact the choice of screening studies in pediatric patients.

Using i2b2 to Bootstrap Rural Health Analytics and Learning Networks.

We demonstrate that the open-source i2b2 (Informatics for Integrating Biology and the Bedside) data model can be used to bootstrap rural health analytics and learning networks. These networks promote communication and research initiatives by providing the infrastructure necessary for sharing data and insights across a group of healthcare and research partners. Data integration remains a crucial challenge in connecting rural healthcare sites with a common data sharing and learning network due to the lack of interoperability and standards within electronic health records. The i2b2 data model acts as a point of convergence for disparate data from multiple healthcare sites. A consistent and natural data model for healthcare data is essential for overcoming integration issues, but challenges such as those caused by weak data standardization must still be addressed. We describe our experience in the context of building the West Virginia/Kentucky Health Analytics and Learning Network, a collaborative, multi-state effort connecting rural healthcare sites.

Research Partnerships with Healthcare Providers in Rural Community Health Centers: Needs and Challenges in Diabetes Research.

Kentucky has among the highest rates of diabetes and obesity in the United States. The Kentucky Diabetes and Obesity Collaborative (KDOC) was designed to develop a novel research infrastructure that can be used by researchers focusing on obesity and diabetes among patients cared for by Federally Qualified Health Centers (FQHC) serving rural Kentucky. Focus groups were carried out to develop an understanding of the needs and interests of FQHC practitioners and staff regarding participation in KDOC. Focus groups were conducted with 6 FQHCs and included a total of 41 individuals including health care providers, administrative staff and clinical staff. The discussions ranged in time from 30 to 70 minutes and averaged 45 minutes. Analysis of the transcripts of the focus groups revealed 4 themes: 1) contextual factors, 2) infrastructure, 3) interpersonal relationships, and 4) clinical features. The participants also noted four requirements that should be met for a research project to be successful in rural primary care settings: 1) there must be a shared understanding of health priorities of rural communities between the researcher and the practices/providers; 2) the proposed research must be relevant to clinics and their communities; 3) research and recommendations for evidence-based interventions need to reflect the day-to-day challenges of rural primary care providers; and 4) there needs to be an understanding of community norms and resources. Although research-clinic partnerships were viewed favourably overall, challenges in data integration to support both research and clinical outcomes were identified.

Developing a Dissemination Model to Improve Intervention Reach among West Virginia Youth Smokers.

The not-on-tobacco program is an evidence-based teen smoking cessation program adopted by the American Lung Association (ALA). Although widely disseminated nationally via ALA Master Trainers, in recent years, adoption and implementation of the N-O-T program in West Virginia (WV) has slowed. WV, unfortunately, has one of the highest smoking rates in the US. Although it is a goal of public health science, dissemination of evidence-based interventions is woefully understudied. The present manuscript reviews a theoretical model of dissemination of the not-on-tobacco program in WV. Based on social marketing, diffusion of innovations, and social cognitive theories, the nine-phase model incorporates elements of infrastructure development, accountability, training, delivery, incentives, and communication. The model components as well as preliminary lessons learned from initial implementation are discussed.

Cigarette smoking among college students with disabilities: National College Health Assessment II, 2008-Spring 2009.

BACKGROUND: People with disabilities are 1.5 times more likely to smoke than their peers without disabilities, intensifying risk of health related disparities and further loss of function. When compared with the general population, college students also have a higher smoking prevalence. This study explores smoking rates among college students with disabilities. OBJECTIVE/HYPOTHESIS: College students with disabilities have an increased likelihood of smoking, as compared with students without disabilities. Type of disability also influences smoking rates. METHODS: This study explores the association between smoking and disability using multiple regression analyses and data from the National College Health Assessment II (NCHA II), Fall 2008-Spring 2009 (N = 79,915). People with disabilities comprised 15.6% of the total sample: 3.4% reported a physical disability, 8.3% reported a mental disability, 2.5% reported a sensory disability, and 3.7% reported a learning disability. RESULTS: Smoking prevalence among those reporting disabilities was 23.1% versus 15% in those without disabilities. Those reporting mental disabilities had the highest rates (29.9%), followed by those with learning disabilities (23.7%), sensory disabilities (19.8%), and physical disabilities (16.4%). Students with disabilities were 1.23 times more likely to report current smoking than those without any disabilities, controlling for other factors (OR 1.23, 95% CI 1.16-1.30). DISCUSSION: Results are consistent with previous research regarding the general adult population. Epidemiologic data demonstrating differences in risk behaviors for young adults with disabilities are important in allocation of resources. Findings of this study highlight the need for tailored smoking cessation programs for college students with disabilities.

Understanding physical activity outcomes as a function of teen smoking cessation.

OBJECTIVE: Recent evidence suggests physical activity may be protective against smoking initiation and increased smoking among youth. The present study explored the effects of a teen smoking cessation intervention supplemented with a physical activity module on participants' physical activity outcomes. A secondary aim examined the relationship between participants' physical activity outcomes and postprogram smoking intensity. DESIGN: The study reports primary data from a 3-arm randomized group trial consistent with CONSORT guidelines (Registry # NCT01242657). SETTING: Public high schools (N = 19) in West Virginia. PARTICIPANTS: Teens aged 14-19 years (N = 233) who reported current smoking, ≥1 cigarette in the past 30 days. INTERVENTION: High schools were randomly selected, then randomly assigned to Brief Intervention (standard of care), Not-On-Tobacco (N-O-T, teen cessation program), or N-O-T plus a physical activity module (N-O-T+FIT). OUTCOME MEASURES: Standardized instruments at baseline and end of treatment/3-months postbaseline measured physical activity outcomes. The study assessed smoking intensity using cigarettes smoked per day. We conducted ANCOVA controlling for school-level variance to measure physical activity changes. Multiple linear and logistic regression analyses explored favorable change influence of physical activity on smoking cessation outcomes, controlling for potential clustering. RESULTS: Teens who increased the number of days on which they received at least 20 minutes of exercise were significantly more likely to reduce their daily cigarette use, with those in the N-O-T+FIT condition having the highest likelihood of reducing smoking. Teens in the N-O-T+FIT condition who increased the number of days on which they received at least 30 minutes of exercise were significantly more likely than those in other groups to quit smoking. CONCLUSION: Findings suggest that it is possible to alter simultaneously more than one health behavior among teens-favorable changes in physical activity and smoking cessation may be particularly compatible targets for dual behavior change.

Hookah use among U.S. college students: results from the National College Health Assessment II.

INTRODUCTION: Tobacco use is the leading cause of morbidity and mortality in the United States. Hookah use is a growing tobacco trend among young adults; yet little is known about how young adult college student hookah smokers differ from nonsmokers or cigarette smokers. METHODS: Results from 18- to 24-year-old participants in the Fall 2008-Spring 2009 National College Health Assessment II (N = 82,155) were used in multinomial logistic regression models to compare nonsmokers, cigarette-only smokers, hookah-only smokers, and dual (cigarette and hookah) users. RESULTS: Ten percent of the sample reported hookah use in the last 30 days. Compared with nonsmokers, cigarette, hookah, and dual users were more likely to be younger, male, White, and use other substances (including alcohol). Compared with nonsmokers, hookah and dual users were more likely to be members of fraternities/sororities (odds ratio [OR] = 1.17 and 1.14, respectively), live in the West (OR = 1.49 and 1.31, respectively), and attend larger institutions. Compared with cigarette-only smokers, hookah and dual users were more likely to be younger, male, live on campus, live in the West, attend large institutions, and were less likely to attend public institutions. Compared with cigarette-only smokers, hookah-only users were more likely to be non-White and less likely to use marijuana or other drugs. CONCLUSIONS: Hookah-only and dual users are demographically different than cigarette-only or nonsmoking college students. Interventions for tobacco use on college campuses should address the demographic differences among tobacco users (including polysubstance use) and attempt to recruit students as entering freshman to provide education and prevent hookah use uptake.

Effects of physical activity on teen smoking cessation.

OBJECTIVE: To understand the influence of physical activity on teen smoking-cessation outcomes. METHODS: Teens (N = 233; 14-19 years of age) from West Virginia high schools who smoked >1 cigarette in the previous 30 days were included. High schools with >300 students were selected randomly and assigned to brief intervention (BI), Not on Tobacco (N-O-T) (a proven teen cessation program), or N-O-T plus a physical activity module (N-O-T+FIT). Quit rates were determined 3 and 6 months after baseline by using self-classified and 7-day point prevalence quit rates, and carbon monoxide validation was obtained at the 3-month follow-up evaluation. RESULTS: Trends for observed and imputed self-classified and 7-day point prevalence rates indicated that teens in the N-O-T+FIT group had significantly higher cessation rates compared with those in the N-O-T and BI groups. Effect sizes were large. Overall, girls quit more successfully with N-O-T compared with BI (relative risk [RR]: >∞) 3 months after baseline, and boys responded better to N-O-T+FIT than to BI (RR: 2-3) or to N-O-T (RR: 1-2). Youths in the N-O-T+FIT group, compared with those in the N-O-T group, had greater likelihood of cessation (RR: 1.48) at 6 months. The control group included an unusually large proportion of participants in the precontemplation stage at enrollment, but there were no significant differences in outcomes between BI and N-O-T (z = 0.94; P = .17) or N-O-T+FIT (z = 1.12; P = .13) participants in the precontemplation stage. CONCLUSIONS: Adding physical activity to N-O-T may enhance cessation success, particularly among boys.

Racial and ethnic differences in current use of cigarettes, cigars, and hookahs among lesbian, gay, and bisexual young adults.

INTRODUCTION: Research demonstrates that lesbians, gays, and bisexuals (i.e., LGBs or sexual minorities) smoke more than their heterosexual peers, but relatively less is known about the heterogeneity within LGB populations, namely racial/ethnic differences. Moreover, smoking research on sexual minorities has focused mainly on cigarette smoking, with little attention to other forms of smoking, such as hookahs/water pipes. METHODS: Using a large national sample of college students, we examined differences by race and sexual orientation in prevalence of smoking cigarettes, cigars/cigarillos/clove cigarettes, and hookahs. RESULTS: All LGB racial groups had higher cigarette smoking prevalence than their heterosexual racial group counterparts. Significantly more White and Hispanic LGBs smoked hookahs when compared, respectively, with White and Hispanic heterosexuals. CONCLUSIONS: Given the higher prevalence of multiple forms of smoking among sexual minorities, the heterogeneity within sexual minority populations and the nuances of multiple identities (i.e., racial, ethnic, and sexual minority), targeted-if not tailored-prevention and cessation efforts are needed to address smoking disparities in these diverse communities. Prevention, intervention, and epidemiological research on smoking behaviors among college attending young adults should take into account other forms of smoking, such as hookah use.

Disparities in smoking and acute respiratory illnesses among sexual minority young adults.

Morbidity and mortality from cigarette smoking remain major public health issues. Particularly, smoking has been associated with increased risk of acute respiratory illnesses (ARIs). Literature indicates that lesbian, gay, and bisexual (i.e., sexual minority) persons smoke more than the general population. Additionally, young adulthood is the second-most prevalent period of smoking uptake. Given this constellation of risk correlates, the authors examined whether sexual minority young adults experience increased odds of ARIs (i.e., strep throat, bronchitis, sinus infection, and asthma). Using cross-sectional data from the Spring 2006 National College Health Assessment, prevalence estimates of smoking were generated among young adult (age range, 18-24 years) lesbian/gay, bisexual, unsure, and heterosexual college students (n = 75,164). Nested logistic regression analyses were used to examine whether smoking status mediated the risk of ARIs among sexual orientation groups. Compared with heterosexual smokers, gay/lesbian smokers were more likely to have had strep throat, and bisexual smokers were more likely to have had sinus infection, asthma, and bronchitis. Whereas smoking mediated the risk of ARI, sexual minorities still showed higher odds of ARIs after adjustment for smoking. Sexual minority young adults may experience respiratory health disparities that may be linked to their higher smoking rates, and their higher rates of smoking lend urgency to the need for cessation interventions. Future studies are needed to explore whether chronic respiratory disease caused by smoking (i.e., lung cancer, COPD, emphysema) disproportionately affect sexual minority populations.