E-cigarettes in college: Associations between mental health and e-cigarette use with other substances.

INTRODUCTION: College students are a priority population for substance use prevention, and other studies have reported associations between mental health and e-cigarette use. This study described the association of mental health to e-cigarette and other substance use (ECIG+ use) among US college students. METHODS: We used Fall 2018 and Spring 2019 National College Health Assessment data among undergraduate students aged 18-24 years (n=55654) at 138 institutions. We characterized substance use patterns and used multinomial regression to model adjusted odds of past 30-day ECIG use type [no substance use (reference); sole e-cigarette use; e-cigarette use and other substance use (ECIG+ use); no e-cigarette use but other substance use] by mental health characteristics, past 12-month diagnosis/treatment and psychological distress, individual characteristics, and college characteristics. RESULTS: Alcohol was the most prevalent substance (58%) used, followed by cannabis (23%) and e-cigarettes (15%). Nearly all (95%) students who used e-cigarettes reported using another substance. Adjusted odds of ECIG+ use (vs no substance use) were higher among students with past 12-month mental health diagnosis/treatment (AOR=1.5; 95% CI: 1.4-1.6) and higher psychological distress (AOR=1.1; 95% CI: 1.1-1.2). Other characteristics significantly associated with ECIG+ use included gender identity, sexual orientation, race and ethnicity, self-rated health, year in school, cumulative grade average, fraternity/sorority membership, and current residence. CONCLUSIONS: Most students who used e-cigarettes also reported other substance use, and this pattern of use was associated with poorer mental health outcomes than no substance use. Clarifying the relationship between mental health and ECIG+ use may enhance health interventions for college students.

Employment Characteristics and Tobacco Product Use, U.S., 2021.

INTRODUCTION: Over 30 million U.S. working adults use tobacco, and tobacco use varies by occupation. Limited information is available on employment characteristics and tobacco use prevalence. The purpose of this study was to describe the prevalence of current tobacco use by employment characteristics and occupation group among U.S. working adults. METHODS: This cross-sectional study used 2021 National Health Interview Survey data for currently working adults (n=16,461) analyzed in 2023. Multivariable logistic regression was used to estimate adjusted odds of tobacco use by employment characteristics and occupation group. RESULTS: In 2021, 20.0% of working adults used tobacco. Any tobacco use was significantly lower among workers who were offered workplace health insurance (AOR=0.86, 95% CI=0.77-0.97), had paid sick leave (AOR=0.81, 95% CI=0.73-0.91), and government versus private employment (AOR=0.61, 95% CI=0.52-0.70). Any tobacco use was significantly higher among workers who usually worked ≥35 hours per week versus did not usually work ≥35 hours per week (AOR=1.21, 95% CI=1.06-1.39), worked a rotating or "some other" shift versus daytime shift (AOR=1.19, 95% CI=1.02-1.38), experienced schedule instability (AOR=1.17, 95% CI=1.03-1.31), and worked while physically ill in the past 3 months (AOR=1.25, 95% CI=1.11-1.41). Tobacco use by employment characteristics also varied by occupation group. CONCLUSIONS: Current tobacco use varied according to employment characteristics and occupation group. Findings from this study could inform workplace tobacco cessation interventions and policies (e.g., access to paid sick leave or insurance coverage) to better support tobacco cessation and overall worker health.

Addressing differences in cancer: a framework for synergistic programming in cancer prevention and control.

Background: Cancer remains a leading cause of death worldwide and continues to disproportionately impact certain populations. Several frameworks have been developed that illustrate the multiple determinants of cancer. Expanding upon the work of others, we present an applied framework for cancer prevention and control designed to help clinicians, as well as public health practitioners and researchers, better address differences in cancer outcomes. Methods: The framework was developed by the Cancer Prevention and Control Research Network's Health Behaviors Workgroup. An initial framework draft was developed based on workgroup discussion, public health theory, and rapid literature review on the determinants of cancer. The framework was refined through interviews and focus groups with Federally Qualified Health Center providers (n=2) and cancer patients (n=2); participants were asked to provide feedback on the framework's causal pathways, completeness, and applicability to their work and personal life. Results: The framework provides an overview of the relationships between sociodemographic inequalities, social and structural determinants, and key risk factors associated with cancer diagnosis, survivorship, and cancer morbidity and mortality across the lifespan. The framework emphasizes how health-risk behaviors like cigarette smoking interact with psychological, psychosocial, biological, and psychosocial risk factors, as well as healthcare-related behavior and other chronic diseases. Importantly, the framework emphasizes addressing social and structural determinants that influence health behaviors to reduce the burden of cancer and improve health equity. Aligned with previous theory, our framework underscores the importance of addressing co-occurring risk factors and disease states, understanding the complex relationships between factors that influence cancer, and assessing how multiple forms of inequality or disadvantage intersect to increase cancer risk across the lifespan. Conclusions: This paper presents an applied framework for cancer prevention and control to address cancer differences. Because the framework highlights determinants and factors that influence cancer risk at multiple levels, it can be used to inform the development, implementation, and evaluation of interventions to address cancer morbidity and mortality.

Cigarette Smoking Motives and Stages of Change in Smoking Cessation Among Veterans: Differences by Gender and Sexual Orientation.

PURPOSE: To examine differences across gender and sexual orientation in cigarette smoking motives and stages of change in smoking cessation among Veterans. DESIGN: Secondary data analysis of cross-sectional baseline surveys from a prospective cohort study. SETTING: United States, self-administered online survey. PARTICIPANTS: Cisgender Veterans who reported past-year smoking (N = 146); 66.4% identified as lesbian, gay, or bisexual and 52.1% were men. MEASURES: Smoking motives (i.e., social, self-confidence, boredom relief, and affect regulation), with higher scores indicating stronger motivation to smoke. Stages of change categories included precontemplation, contemplation/preparation, and action/maintenance. ANALYSIS: Analyses were stratified by gender and sexual orientation. Age-adjusted linear regression models estimated differences in smoking motives scores and multinomial logistic regression models estimated differences in stages of change categories relative to the precontemplation stage (reference category). RESULTS: In this Veteran sample, gay men reported higher social smoking motives vs heterosexual men (ß = 1.50 (95% CI: .04, 2.97), P-value = .045) and higher boredom relief smoking motives vs bisexual men (ß = 1.53 (95% CI: .06, 2.29), P-value = .041) in age-adjusted models. Lesbian women were more likely to be in the action/maintenance stage relative to the precontemplation stage when compared to both heterosexual women (aRRR = 4.88 (95% CI: 1.00, 23.79) P-value = .050) and bisexual women (aRRR = 16.46 (95% CI: 2.12, 127.57), P-value = .007) after adjusting for age. CONCLUSION: Smoking cessation interventions may benefit from enhancing peer support for gay men. Given bisexual and heterosexual women were in less advance stages of change, there may be a greater need for motivational interventions to encourage quitting and additional support to assist with cessation efforts. Overall, findings highlight the diversity of cigarette use within LGB communities.

Associations of Sexual Orientation-Related Minority and Military Stressors with Past-Year Cigarette Use among Lesbian, Gay, and Bisexual (LGB) Veterans.

INTRODUCTION: Lesbian, gay, and bisexual (LGB) individuals and Veterans are more likely to report current smoking than the general adult population in the United States. The Minority Stress Model may explain the high prevalence of cigarette smoking among LGB individuals, who experience unique interpersonal (e.g., discrimination) and intrapersonal (e.g., identity concealment) stressors related to their minoritized sexual orientation. This study assessed whether three types of stressors (interpersonal, intrapersonal, and LGB-specific military) were associated with past-year smoking among LGB Veterans. METHODS: Veterans were recruited online for a prospective cohort study. We conducted secondary data analysis of baseline surveys collected from 2019-2020. The study sample included cisgender, LGB Veterans (n=463). Adjusted nested multivariable logistic regression models were used to estimate the association of each stressor with past-year cigarette smoking. RESULTS: Participants were mostly male (54.0%), non-Hispanic White (82.1%), and at least a college graduate (58.5%). LGB Veterans who were younger, had lower levels of education, income, and healthcare coverage, higher general stressors, and post-traumatic stress disorder (PTSD) and depression symptoms were more likely to smoke in the past year (n=98, 21.2%). The adjusted odds of past-year smoking were higher among those who reported higher levels of harassment (aOR=1.13, 95%CI: 1.01-1.26), victimization (aOR=1.13, 95%CI: 1.02-1.43), and family rejection (aOR=1.13, 95%CI: 1.08-1.36). CONCLUSION: Multiple interpersonal stressors were associated with past-year smoking, highlighting the need to intervene on these stressors. Future interventions should aim to address policies that reduce prejudice against LGB Veterans, while helping those who smoke identify and develop positive coping skills that support cessation. IMPLICATIONS: Our findings contribute to the growing body of literature on tobacco use disparities among LGB individuals, particularly LGB Veterans. Results of this analysis provide some evidence for the Minority Stress Model as a conceptual model for understanding and intervening on disparities in smoking prevalence among LGB Veterans.

Opportunities to Improve Tobacco Control for State Agency Employees.

OBJECTIVE: The aim of the study is to explore tobacco-related knowledge and perceptions at Washington State (WA) agencies. METHODS: The study used a cross-sectional employee survey and qualitative focus groups with managers/supervisors. We produced descriptive statistics to examine differences in awareness and perceptions of tobacco-control efforts among employees and conducted a rapid thematic analysis of focus group data. RESULTS: Of employees, only 18% with a history of tobacco use had used their agency's cessation benefits. Employees who did not use tobacco and who had higher education had more favorable attitudes toward tobacco-control efforts. In the focus groups, manager/supervisors described limited tobacco cessation promotion at their agency, barriers to tobacco control implementation, and concerns about the perceived effectiveness of additional tobacco-control efforts. CONCLUSIONS: State agencies should increase promotion of tobacco control policies and programs to increase awareness and reduce disparities in tobacco use.

Patient and Clinician Recommendations to Improve Communication and Understanding of Lung Cancer Screening Results.

BACKGROUND: Patient understanding of chest low-dose CT (LDCT) scan results for lung cancer screening (LCS) may impact outcomes. RESEARCH QUESTION: What are patient- and clinician-identified gaps in understanding and communication of LCS results and how might communication be improved through a patient-oriented tool? STUDY DESIGN AND METHODS: We performed a mixed-methods study of participants recruited from a multisite LCS program to understand knowledge gaps after receiving LCS results and to guide development of a commonly asked questions (CAQ) after LCS information sheet. Initial patient surveys assessed understanding and reactions to LCS results (n = 190). We then conducted patient interviews and focus group discussions (n = 31) to understand experiences receiving LDCT scan results and reactions to results letters and the proposed CAQ; we also interviewed clinicians (n = 6) for feedback on these resources. We summarized survey responses and used thematic analysis to identify major themes in focus groups and interviews. RESULTS: Of 190 survey respondents (43% response rate), although 88% agreed that they "understood" their LCS results, only 55% reported understanding what a lung nodule is. Approximately two-thirds thought it was "very important" to receive more information regarding lung nodules and incidental lung and heart disease. In interviews and focus groups, although patients believed that brief results letters for normal LDCT scan results generally were acceptable, most found letters explaining abnormal LDCT scan and incidental findings to be concerning and not a substitute for discussion with their clinician. Nearly all patients expressed that the CAQ sheet provided helpful information on nodules, results reporting and incidental findings, and helped them form questions to ask their clinicians. INTERPRETATION: We identified patient-reported information needs regarding LCS results and developed a CAQ information sheet that was refined with patient and clinician input. The CAQ may represent a simple and feasible way to improve LCS results reporting and to augment clinician-patient discussions.

Worksite tobacco control - a qualitative study on perspectives from employers and employees at small worksites.

BACKGROUND: Evidence-based interventions (EBIs) for tobacco control can be implemented in worksite settings to reduce tobacco use. Small worksites are less likely to adopt tobacco control EBIs than large worksites. The purpose of this qualitative study was to 1) explore factors that impact small employers' decisions to offer tobacco control EBIs, and 2) understand employees' perceptions of tobacco control at small worksites. METHODS: Working with staff from small worksites (20-250 employees), we analyzed data from 12 semi-structured interviews with employers (via key informants) and four focus groups with employees. We recruited employers and employees through a purchased business list and market research company, respectively. Interview and focus group topics included perceptions of worksite tobacco control; internal and external forces shaping worksite tobacco control implementation; and perceived worksite support for cessation. We conducted thematic data analysis. RESULTS: Key themes from the employer interviews included: the local environment played an important role in implementation of tobacco control EBIs; tobacco control was perceived as important but not a priority; and tobacco control decisions were driven by worksite culture. Key themes from the employee focus groups included: perceived employer support for tobacco cessation was limited although there was interest from employees; employees who currently used tobacco were stigmatized for their behavior; and incentives and coaching were considered ideal tobacco control EBIs. CONCLUSIONS: Tobacco control has not been prioritized at small worksites, despite employees welcoming additional cessation support. This study contributes important information on contextual factors and employee preferences that could be targeted to improve tobacco control EBI implementation. Worksites should implement comprehensive tobacco-free policies, minimize stigma when promoting cessation, establish equitable break policies, and involve employees in decision-making related to tobacco control.

Partnerships to expand worksite wellness programs - A qualitative analysis of state and local health department perspectives.

Chronic diseases such as heart disease, cancer, and diabetes are the leading causes of death and disability in the U. S. Because the central mission of state and local health departments (HDs) is to protect, promote, and improve population health, these agencies are well-positioned to address risk behaviors for chronic disease. HD-employer partnerships could enhance worksite wellness programming, but few studies have explored this topic. Building upon previously published findings, the purpose of this qualitative study was to describe the context and environment for HDs' delivery of worksite wellness programs, including interest, barriers, facilitators, and decision-making processes. We conducted 12 interviews with directors of state chronic disease programs, 21 interviews with local directors, and three focus groups with local staff. We performed a thematic analysis of the data. Key themes include the following: (1) worksite wellness programs delivered by HDs were diverse in topic and scope and delivered both internally (at the HD for their agency) and externally (for other employers); (2) decisions made about chronic disease prevention were largely driven by funding priorities, with federal, state, and local entities playing roles in the decision-making process; and (3) HDs expressed potential interest in worksite wellness program delivery, dependent upon staff capacity, available funding, and employer buy-in. Our results suggest that funding should be increased for and reallocated towards chronic disease prevention, including worksite wellness. To overcome HD barriers to program delivery, key funders and stakeholders should prioritize and communicate the importance of worksite wellness.

Pathways to Employee Outcomes in a Workplace Health Promotion Program.

PURPOSE: This study examined the relationship between employee outcomes and employer implementation of evidence-based interventions (EBIs) for chronic disease prevention. DESIGN: Cross-sectional samples collected at 3 time points in a cluster-randomized, controlled trial of a workplace health promotion program to promote 12 EBIs. SETTING: King County, WA. SAMPLE: Employees of 63 small, low-wage workplaces. MEASURES: Employer EBI implementation; 3 types of employee outcomes: perceived implementation of EBIs; perceived employer support for health; and health-related behaviors, perceived stress, depression risk, and presenteeism. ANALYSIS: Intent-to-treat and correlation analyses using generalized estimating equations. We tested bivariate associations along potential paths from EBI implementation, through perceived EBI implementation and perceived support for health, to several employee health-related outcomes. RESULTS: The intent-to-treat analysis found similar employee health-related behaviors in intervention and control workplaces at 15 and 24 months. Workplaces implemented varying combinations of EBIs, however, and bivariate associations were significant for 4 of the 6 indicators of physical activity and healthy eating, as well as perceived stress, depression risk, and presenteeism. We did not find significant positive associations for cancer screening and tobacco cessation. CONCLUSION: Our findings support broader dissemination of EBIs for physical activity and healthy eating, as well as more focus on improving employer support for employee health. They also suggest we need better interventions for cancer screening and tobacco cessation.

Patient Identification of Lung Cancer Screening Follow-Up Recommendations and the Association with Adherence.

Rationale: Adherence to follow-up lung cancer screening (LCS) in real-world settings is suboptimal. Patient understanding of screening results and anticipated follow-up may be crucial to adherence. Objectives: To determine patient factors associated with identification of follow-up recommendations as a measure of patient understanding of screening results after LCS, and to determine whether misidentification of follow-up is associated with lower adherence to recommendations. Methods: We performed a prospective study of patients in the University of Washington/Seattle Cancer Care Alliance LCS registry who underwent an initial LCS examination between June 2017 and September 2019. We mailed potential participants a survey after the initial LCS examination, with additional data abstracted from the electronic health record and LCS registry. Participants were asked to identify the timing and next step for their follow-up, with answers corresponding to the lung imaging reporting and data system (Lung-RADS) recommendations. We examined associations between incorrect identification of recommended follow-up and patient-level characteristics, self-perceived benefit/harm of LCS, LCS knowledge, Lung-RADS score, and patient-reported method of LCS results communication (letter, telephone, or in-person). We used multivariable logistic regression to evaluate associations with incorrect identification of recommendations and assessed incorrect identification of recommendations as a potential mechanism for poor adherence in a separate regression model. Results: One hundred eighty-eight participants completed the survey (response rate 44%); 47% misidentified their follow-up recommendation. Those with Lung-RADS scores ⩾3 had higher odds of incorrectly identifying follow-up recommendations than those with scores <3, as did those with lower educational attainment. However, there was no significant association between incorrect identification of follow-up and ultimate adherence to follow-up. Conclusions: Understanding of LCS follow-up appears to be poor, especially among those with lower education levels and positive findings. Among survey responders, incorrect identification of follow-up was not associated with poor adherence, suggesting that other factors, such as provider interventions, may be driving adherence behavior. These results can inform efforts to target improved patient education regarding follow-up for LCS.

Smoking and cessation behaviors in patients at federally funded health centers - United States, 2014.

BACKGROUND: Federally funded health centers (HCs) provide care to the most vulnerable populations in the U.S., including populations with disproportionately higher smoking prevalence such as those with lower incomes. METHODS: This study compared characteristics of adult HC patients, by cigarette smoking status, and assessed smoking cessation-related behaviors using 2014 Health Center Patient Survey data; analysis was restricted to adults with data on cigarette smoking status (n = 5583). Chi-square and logistic regression analyses were conducted. RESULTS: Overall, 28.1 % were current smokers and 19.2 % were former smokers. Current smokers were more likely to report fair/poor health (48.2 %) and a high burden of behavioral health conditions (e.g., severe psychological distress 23.9 %) versus former and never smokers. Most current smokers reported wanting to quit in the past 12 months (79.0 %) and receiving advice to quit from a healthcare professional (78.7 %). In a multivariable model, age <45, non-white race, COPD diagnosis, and past 3-month marijuana use were significantly associated with desire to quit. Few former smokers (15.2 %) reported using cessation treatment, though use was higher among those who quit within the previous year (30.6 %). CONCLUSIONS: Although most current smokers reported a desire to quit, low uptake of evidence-based treatment may reduce the number who attempt to quit and succeed. Given the burden of tobacco use, future efforts could focus on identifying and overcoming unique personal, healthcare professional, or health system barriers to connecting them with cessation treatments. Increasing access to cessation treatments within HCs could reduce smoking-related disparities and improve population health.

High-School Students Rarely Use E-Cigarettes Alone: A Sociodemographic Analysis of Polysubstance Use Among Adolescents in the United States.

INTRODUCTION: Most adolescents reporting e-cigarette use have also used combustible tobacco; however, the extent to which they use other substances is less clear. This study assessed e-cigarette use with tobacco, alcohol, or cannabis and quantified the risk of polysubstance use among adolescents overall and by sociodemographic characteristics. AIMS AND METHODS: Using 2017 Youth Behavioral Risk Factor Surveillance System data from adolescents (grades 9-12) with complete substance use information (n = 11 244), we examined e-cigarette poly-use status (none [referent], e-cigarettes only, or e-cigarettes + other substances). We estimated the prevalence of substance use and modeled odds of e-cigarette use, alone or with other substances, by several sociodemographic characteristics. Analyses were completed in Stata version 15.1 using survey procedures to account for the complex survey design. RESULTS: Approximately 12% of adolescents reported past 30-day e-cigarette use. Almost all (93%) e-cigarette users also reported other substance use; alcohol appeared most frequently in combinations. Odds of e-cigarette single use and e-cigarette poly-use (vs. no use) were higher for males and adolescents with lower grades (odds ratios [ORs] = 1.44-2.31). Racial/ethnic minorities had lower odds of e-cigarette poly-use than White peers (ORs = 0.18-0.61), and bisexual (vs. straight) adolescents were more likely to be e-cigarette poly-users (OR = 1.62). E-cigarette use increased from 9th grade (7%) to 12th grade (16%). CONCLUSIONS: Polysubstance use is highly prevalent among adolescents who use e-cigarettes. Therefore, e-cigarette screening should include the assessment of other substances, especially alcohol. Early and comprehensive prevention efforts to reduce e-cigarette and other substance use could have a substantial beneficial impact on population health over time. IMPLICATIONS: This study extends knowledge about e-cigarette use among adolescents by exploring its use with alcohol, cannabis, and other tobacco products. We found that e-cigarettes were very rarely used alone, and our analysis identified several sociodemographic factors associated with greater odds of e-cigarette polysubstance use. In response, we recommend that prevention interventions address multiple substances concurrently, screen repeatedly to detect new initiation as age increases, focus on e-cigarette use as a less stigmatized entry point to discussions of substance use, and target priority population subgroups.

"Taking Up a New Problem": Context and Determinants of Pod-Mod Electronic Cigarette Use Among College Students.

In this article, we explore the context and determinants of pod-mod electronic cigarette (ECIG) use among college students aged 18 to 24 in the United States. We conducted semi-structured interviews with 55 students (M age = 20 years, 56% female, 65% White) on three campuses in the Northwest, Midwest, and Southeast. We performed a thematic analysis. Students described ECIG use by peers, increased ECIG exposure and prevalence in college, and school-related stress as reasons for vaping. Pod-mod features such as convenience, design, easy concealment, and flavors made vaping more appealing. Negative aspects of vaping included addiction, cost, and possible health consequences. Most viewed vaping as a college behavior and intended to quit after graduation. Our results show that the college environment plays a major role in young adult ECIG use. These findings can inform the development of targeted interventions to prevent and control uptake of ECIGs by young adults.

Use of Cigarettes and E-Cigarettes and Dual Use Among Adult Employees in the US Workplace.

INTRODUCTION: Evidence-based interventions for tobacco control in the US workplace can reach a large audience. The purpose of our study was to explore the prevalence and determinants of type of tobacco use (ie, cigarettes only, e-cigarettes only, or dual use) among adult employees in the United States and to examine type of use by state. METHODS: We used data from the 2017 Behavioral Risk Factor Surveillance System to examine the prevalence of cigarette use, e-cigarette use, dual use, and quit attempts. We used multinomial logistic regression to examine the relationships between sociodemographic characteristics and type of tobacco product used, and we estimated adjusted prevalence. RESULTS: Approximately 17% of respondents were current smokers, 5% were current e-cigarette users, and 2% were dual users. E-cigarette-only and dual use were generally highest among young (aged 18-24), male, and less-educated respondents and lower for respondents who identified as black, Asian/Native Hawaiian/Pacific Islander, or Hispanic than for white respondents. Cigarette-only and dual use were higher for respondents who did not have health care coverage. Prevalence by state of e-cigarette use only ranged from 1.2% (Vermont) to 3.9% (Arkansas), whereas the prevalence of dual use ranged from 0.6% (District of Columbia) to 4.0% (Oklahoma). CONCLUSION: Prevalence of cigarette, e-cigarette, and dual use varied by sociodemographic characteristics and by state. These findings can support targeting of specific populations when designing and implementing evidence-based interventions for tobacco control in workplace settings.

Tobacco Evidence-Based Practice Implementation and Employee Tobacco-Related Outcomes at Small Low-Wage Worksites.

OBJECTIVE: The aim of this study was to assess whether tobacco policy, program, and communication evidence-based practice implementation is associated with employee tobacco outcomes [current smoking; quit attempt; smokeless tobacco (SLT) use; and perceived worksite support for cessation] at small low-wage worksites. METHODS: We analyzed data from a randomized controlled trial testing an intervention to increase implementation of evidence-based health promotion practices. We used generalized estimating equations to examine relationships between practice implementation and tobacco outcomes. RESULTS: Communication practice implementation was associated with better perceived worksite support for cessation (P = 0.027). Policy and program implementation were associated with increased odds of being a current SLT user; these findings should be interpreted with caution given small sample sizes. CONCLUSION: Tobacco communication evidence-based practice implementation was associated with favorable perceptions of worksite support for cessation; more may be needed to change tobacco use behavior.

Associations Between Organizational Culture, Workplace Health Climate, and Employee Smoking at Smaller Workplaces.

BACKGROUND: Smaller workplaces frequently employ low-wage earners, who have higher smoking rates. Organizational culture and workplace health climate are two characteristics that could influence employee smoking. The purpose of this study was to examine the associations between organizational culture, workplace health climate, and smoking among employees at small (20-99 employees) and very small (<20 employees) workplaces. We proposed the following hypotheses: a stronger clan culture will be associated with a better workplace health climate (HP1); a better workplace health climate will be associated with lower odds of current smoking (HP2); and there will be an association between workplace health climate and smoking intensity (HP3) and between workplace health climate and quit intention (HP4). METHODS: Executives and employees completed separate online questionnaires. Data collection occurred between June and October 2017. We used regression and Fisher's exact tests to answer study hypotheses. RESULTS: Workplaces with stronger clan cultures had a better workplace health climate (b = 0.27, P < .05), providing support for HP1. A better workplace health climate was associated with lower odds of being a current smoker (odds ratio [OR] = 0.08; 95% confidence interval [CI]: 0.01, 0.53), providing support for HP2. No significant relationship existed between workplace health climate and smoking intensity (P = .50) or between workplace health climate and intention to quit smoking (P = .32); therefore, HP3 and HP4 were not supported. CONCLUSION: Certain culture types may inform an organization's health climate. Despite a lower likelihood of current smoking in workplaces with better health climates, a better health climate may not be sufficient to produce changes in smoking behavior and intentions.

A qualitative assessment of the smoking policies and cessation activities at smaller workplaces.

BACKGROUND: To reduce the negative consequences of smoking, workplaces have adopted and implemented anti-smoking initiatives. Compared to large workplaces, less research exists about these initiatives at smaller workplaces, which are more likely to hire low-wage workers with higher rates of smoking. The purpose of this study was to describe and compare the smoking policies and smoking cessation activities at small (20-99 employees) and very small (< 20 employees) workplaces. METHODS: Thirty-two key informants coming from small and very small workplaces in Iowa completed qualitative telephone interviews. Data collection occurred between October 2016 and February 2017. Participants gave descriptions of the anti-smoking initiatives at their workplace. Additional interview topics included questions on enforcement, reasons for adoption, and barriers and facilitators to adoption and implementation. The data were analyzed using counts and content and thematic analysis. RESULTS: Workplace smoking policies were nearly universal (n = 31, 97%), and most workplaces (n = 21, 66%) offered activities to help employees quit smoking. Reasons for adoption included the Iowa Smokefree Air Act, to improve employee health, and organizational benefits (e.g., reduced insurance costs). Few challenges existed to adoption and implementation. Commonly cited facilitators included the Iowa Smokefree Air Act, no issues with compliance, and support from others. Compared to small workplaces, very small workplaces offered cessation activities less often and had fewer tobacco policy restrictions. CONCLUSIONS: This study showed well-established tobacco control efforts in small workplaces, but very small workplaces lagged behind. To reduce potential health disparities in smoking, future research and intervention efforts in tobacco control should focus on very small workplaces.

Organizational culture and the adoption of anti-smoking initiatives at small to very small workplaces: An organizational level analysis.

INTRODUCTION: Many workplaces have adopted anti-smoking initiatives to reduce smoking behavior, but small workplaces are less likely to adopt these initiatives. One factor that could influence adoption is organizational culture, defined as the values and assumptions shared by members of an organization. The aim of this study was to examine the types of organizational culture associated with smoking policy strength and adoption of smoking cessation activities at small (20-99 employees) and very small (<20 employees) workplaces. Two study hypotheses were made: An increase in clan culture (characterized by participation in decision-making and human resources development) will be associated with an increase in smoking policy strength (H1) and higher odds of having cessation activities in the workplace (H2). METHODS: Between June and October 2017, executives and employees coming from small and very small workplaces participated in separate surveys. Executives answered questions about their workplace's anti-smoking initiatives, while employees completed a 12-item questionnaire about organizational culture. We aggregated employee data to perform linear and logistic regression at the organizational level. RESULTS: Organizational culture was not significantly associated with smoking policy strength, therefore H1 was not supported. Counter to H2, an increase in clan culture was associated with lower odds of offering smoking cessation activities (OR=0.06; 95% CI: 0.01-0.58). CONCLUSIONS: We did not find support for the hypothesized relationships. External factors and additional cultural characteristics may explain study findings. Continued research on culture and ways to improve tobacco control within smaller workplaces is needed.