Taneisha S. Scheuermann

Everyday discrimination is associated with nicotine dependence among African American, Latino, and White smokers.

INTRODUCTION Discrimination is a commonly perceived stressor among African Americans and Latinos, and previous research has linked stress with substance dependence. Although studies have shown a link between discrimination and smoking, little is known about the relationship between discrimination and nicotine dependence. METHODS A total of 2,376 African American (33.4%; n = 794), Latino (33.1%; n = 786), and White (33.5%; n = 796) smokers completed an online survey. Everyday discrimination experiences were described in total and by race/ethnicity. Covariate-adjusted linear regression analyses were conducted to evaluate the associations between everyday discrimination and indicators of nicotine dependence. RESULTS Most participants (79.1%), regardless of race/ethnicity, reported experiencing everyday discrimination. However, total scores on the discrimination measure were higher among Latinos and African Americans than among Whites (p < .001). Race/ethnicity/national origin was the most commonly perceived reason for everyday discrimination among African Americans and Latinos, whereas physical appearance was the most commonly perceived reason among Whites. Regression analyses indicated that everyday discrimination was positively associated with indicators of nicotine dependence, including the Heaviness of Smoking Index (HSI; p < .001) and the Brief Wisconsin Inventory of Smoking Dependence Motives (WISDM) scales (all ps < .001). There was a significant interaction between race/ethnicity and discrimination, such that discrimination was associated with the HSI only among Latinos. Similarly, discrimination was most strongly associated with the WISDM scales among Latinos. CONCLUSIONS Analyses indicated that discrimination is a common stressor associated with nicotine dependence. Findings suggest that greater nicotine dependence is a potential pathway through which discrimination may influence health.

Tobacco Use, Quitting Behavior, and Health Characteristics Among Current Electronic Cigarette Users in a National Tri-Ethnic Adult Stable Smoker Sample

INTRODUCTION The present study characterizes the tobacco use, quitting behaviors, and health characteristics of cigarette smokers who did not change their smoking pattern over the past 6 months and have used electronic cigarettes (ECs) in the past 30 days. This is an important subpopulation to characterize if EC dual use with cigarettes continues to grow. METHODS Participants (N = 2,376) from a research survey panel completed an online cross-sectional survey between June and August 2012. Sampling was stratified to recruit equal numbers of cigarette smoking participants by race/ethnicity (Black, Hispanic, and Caucasian) and smoking frequency (nondaily and daily). All displayed a stable rate of smoking for the past 6 months and were not currently in treatment. Bivariate and multivariate analyses were used to examine correlates of current EC use (any use within the past 30 days). RESULTS Current EC use was reported by 9.2% (n = 219) of the total sample. Of current EC users, 44% reported having used ECs as a quit method. Bivariate and multivariate analyses showed that current EC use was significantly associated with greater nicotine dependence, concurrent poly-tobacco use, more past-year quit attempts, past use of multiple cessation methods, and more depressive symptoms. No demographic variables were significantly associated with current EC use. CONCLUSIONS This study suggests that stable smokers who currently use ECs possess characteristics that are associated with difficulty in achieving smoking cessation. These characteristics should be considered when examining the effectiveness of ECs on cessation and in designing future cessation trials using ECs.

Cotinine and tobacco-specific carcinogen exposure among nondaily smokers in a multiethnic sample

BACKGROUND Nondaily smoking has increased among current U.S. smokers during the past decade and is practiced by a significant percentage of smokers. Although research in nondaily smoking has grown, little is known about levels of exposure to tobacco toxicants among nondaily smokers and their variation across ethnic groups. METHODS We examined urinary levels of cotinine and a tobacco-specific nitrosamine (NNAL) in community participants. Associations between the biomarker data and smoking characteristics were evaluated with Spearmans correlation analysis. RESULTS Participants included 28 Blacks, 4 Latinos, and 25 Whites who smoked at least 1 cigarette on 4-24 days in the past 30 days. Participants averaged 3.3 (SD = 2.1) cigarettes per day (cpd) on days smoked, they smoked an average of 13.0 (SD = 5.4) days in the past month, and they smoked nondaily for 10.5 (SD = 10.5) years. Median levels of creatinine-normalized cotinine and NNAL were 490.9 ng/mg and 140.7 pg/mg, respectively. NNAL and cotinine were highly correlated (r = .84); NNAL and cotinine were modestly correlated with cpd (r = .39 and r = .34; all p values <.05). The number of days smoked per month was not associated with any biomarker levels. CONCLUSIONS Our findings demonstrate that nondaily smokers are, on average, exposed to significant levels of nicotine and carcinogenic nitrosamines, with exposures of 40%-50% of those seen in daily smokers. This level of exposure suggests a significant health risk. Nicotine and carcinogen exposure is most closely related to number of cigarettes smoked per day but not to number of days per month of smoking.

Risk perception and intention to quit among a tri-ethnic sample of nondaily, light daily, and moderate/heavy daily smokers

INTRODUCTION Although the relationship between risk perceptions and quit intentions has been established, few studies explore the potential impact of smoking level on these associations, and none have done so among diversely-aged samples of multiple ethnicities. METHODS Participants, ranging in age from 25 to 81, were 1133 nondaily smokers (smoked ≥1 cigarette on 4 to 24days in the past 30days), 556 light daily smokers (≤10 cigarettes per day), and 585 moderate to heavy daily smokers (>10 cigarettes per day). Each smoking level comprised approximately equal numbers of African Americans, Latinos, and Whites. A logistic regression analysis, adjusted for sociodemographics, self-rated health, time to the first cigarette of the day and smoking level, was used to examine the association between risk perception (perceived risk of acquiring lung cancer, lung disease, and heart disease) and intention to quit (≤6months versus >6months/never). A second adjusted model tested moderation by smoking level with an interaction term. RESULTS Greater risk perception was associated with a higher odds of planning to quit within 6months (AOR=1.34, CI.95=1.24, 1.45). Smoking level did not moderate this association (p=.85). CONCLUSIONS Results suggest that educating all smokers, irrespective of their smoking level, about increased risk of developing smoking-related diseases might be a helpful strategy to enhance their intention to make a smoking quit attempt.

Classifying a Smoker Scale in Adult Daily and Nondaily Smokers

INTRODUCTION Smoker identity, or the strength of beliefs about oneself as a smoker, is a robust marker of smoking behavior. However, many nondaily smokers do not identify as smokers, underestimating their risk for tobacco-related disease and resulting in missed intervention opportunities. Assessing underlying beliefs about characteristics used to classify smokers may help explain the discrepancy between smoking behavior and smoker identity. This study examines the factor structure, reliability, and validity of the Classifying a Smoker scale among a racially diverse sample of adult smokers. METHODS A cross-sectional survey was administered through an online panel survey service to 2,376 current smokers who were at least 25 years of age. The sample was stratified to obtain equal numbers of 3 racial/ethnic groups (African American, Latino, and White) across smoking level (nondaily and daily smoking). RESULTS The Classifying a Smoker scale displayed a single factor structure and excellent internal consistency (α = .91). Classifying a Smoker scores significantly increased at each level of smoking, F(3,2375) = 23.68, p < .0001. Those with higher scores had a stronger smoker identity, stronger dependence on cigarettes, greater health risk perceptions, more smoking friends, and were more likely to carry cigarettes. Classifying a Smoker scores explained unique variance in smoking variables above and beyond that explained by smoker identity. CONCLUSIONS The present study supports the use of the Classifying a Smoker scale among diverse, experienced smokers. Stronger endorsement of characteristics used to classify a smoker (i.e., stricter criteria) was positively associated with heavier smoking and related characteristics. Prospective studies are needed to inform prevention and treatment efforts.

Gender Differences in Smoking Behavior and Dependence Motives Among Daily and Nondaily Smokers

INTRODUCTION While the overall prevalence of smoking has declined, nondaily smoking is on the rise. Among daily smokers (DS) men tend to smoke more cigarettes per day and have higher dependence. Unfortunately little is known about gender differences in nondaily smokers (NDS). METHODS This secondary-data analysis utilized data from a cross-sectional online survey. Participants reported on smoking behavior (eg, cigarettes per day, history of quit attempts) and nicotine dependence motives as assessed by the Brief Wisconsin Inventory of Dependence Motives via the primary and secondary subscales (ie, core features of tobacco dependence such as craving and accessory motives such as weight control, respectively). RESULTS Participants were 1175 DS (60% women) and 1201 NDS (56% women). Two interactions between group and gender were noted suggesting that the NDS had greater gender differences in past quit attempts (P < .01) and reported change in smoking behavior over the past year (P < .01). Further, among the NDS group, men scored significantly higher than women on both the primary and secondary dependence motives subscales (3.6±0.1 vs. 2.9±0.1, P < .0001; 3.8±0.1 vs. 3.3±0.1, P < .0001; respectively). There were no significant differences in dependence motives in the DS group (P > .05). CONCLUSIONS Gender differences in smoking behavior and dependence motives varied between NDS and DS. Specifically, gender differences in smoking behavior and smoking dependence motives may be larger among NDS compared to DS. Additional research is needed to explore how these relationships may relate to smoking cessation in NDS.

Adult Cigarette Smokers at Highest Risk for Concurrent Alternative Tobacco Product Use Among a Racially/Ethnically and Socioeconomically Diverse Sample

INTRODUCTION Rates of alternative tobacco product use (ATPs; eg, cigars, cigarillos, pipes) among cigarette smokers are on the rise but little is known about the subgroups at highest risk. This study explored interactions between demographic, tobacco, and psychosocial factors to identify cigarette smokers at highest risk for ATP use from a racially/ethnically and socioeconomically diverse sample of adult smokers across the full smoking spectrum (nondaily, daily light, daily heavy). METHODS Two-thousand three-hundred seventy-six adult cigarette smokers participated in an online cross-sectional survey. Quotas ensured equal recruitment of African American (AA), white (W), Hispanic/Latino (H) as well as daily and nondaily smokers. Classification and Regression Tree modeling was used to identify subgroups of cigarette smokers at highest risk for ATP use. RESULTS 51.3% were Cig+ATP smokers. Alcohol for men and age, race/ethnicity, and discrimination for women increased the probability of ATP use. Strikingly, 73.5% of men screening positive for moderate to heavy drinking and 62.2% of younger (≤45 years) African American/Hispanic/Latino women who experienced regular discrimination were Cig+ATP smokers. CONCLUSIONS Screening for concurrent ATP use is necessary for the continued success of tobacco cessation efforts especially among male alcohol users and racial/ethnic minority women who are at greatest risk for ATP use.

Smoking dependence across the levels of cigarette smoking in a multiethnic sample

OBJECTIVES The Brief Wisconsin Inventory of Smoking Dependence Motives (WISDM) is a multi-dimensional smoking dependence measure that assesses primary dependence motives (PDM; e.g., core dependence marked by tolerance, craving) and secondary dependence motives (SDM; e.g., auxiliary dependence motives such as cognitive enhancement, weight control). However, the relationship between PDM, SDM, and smoking level remains unclear. Thus, we examined these scales across smoking levels in a diverse sample of smokers. METHODS Participants were 2376 African American, Latino, and non-Hispanic White smokers recruited using an online panel research company. The sample included 297 native nondaily smokers (never smoked daily), 297 converted nondaily smoker (previously smoked daily for ≥six months), 578 light daily smokers (≤10 cigarettes per day [cpd]), and 597 moderate to heavy daily smokers (>10cpd). METHODS Results of a multinomial logistic regression showed that for each unit increase in SDM, after controlling for PDM, the odds of being a native nondaily, converted nondaily or light smoker vs. moderate to heavy smoker increased by 29% to 56% (ps<0.001). In the model, higher PDM scores were associated with lower odds of being a native nondaily, converted nondaily, or light smoker vs. a moderate to heavy daily smoker (ps<0.001). CONCLUSION Nondaily and light smokers endorse higher secondary dependence motives relative to their primary dependence motives. Smoking cessation trials for nondaily and light smokers might address these secondary motives within the context of counseling intervention to enhance abstinence.

Medicaid Coverage of Smoking Cessation Counseling and Medication Is Underutilized for Pregnant Women

Introduction Policies to promote smoking cessation among Medicaid-insured pregnant women have the potential to assist a significant proportion of pregnant smokers. In 2010, Kansas Medicaid began covering smoking cessation counseling for pregnant smokers. Our aim was to evaluate the use of smoking cessation benefits provided to pregnant women as a result of the Kansas Medicaid policy change that provided reimbursement for physician-provided smoking cessation counseling. Methods We examined Kansas Medicaid claims data to estimate rates of delivery of smoking cessation treatment to Medicaid-insured pregnant women in Kansas from fiscal year 2010 through 2013. We analyzed the number of pregnant women who received physician-provided smoking cessation counseling indicated by procedure billing codes (ie, G0436 and G0437) and medication (ie, nicotine replacement therapy, bupropion, or varenicline) located in outpatient managed care encounter and fee-for-service claims data. We estimated the number of Medicaid-insured pregnant smokers using the national smoking prevalence (14%) in this population and the number of live births reported in Kansas. Results Annually from 2010 to 2013, approximately 27.2%-31.6% of pregnant smokers had claims for nicotine replacement therapy, bupropion, or varenicline. Excluding claims for bupropion, a medication commonly prescribed to treat depression, claims ranged from 9.3% to 11.1%. Following implementation of Medicaid coverage for smoking cessation counseling, less than 1% of estimated smokers had claims for counseling. Conclusions This low claims rate suggests that simply changing policy is not sufficient to ensure use of newly implemented benefits, and that there probably remain critical gaps in smoking cessation treatment. Implications This study evaluates the use of Medicaid reimbursement for smoking cessation counseling among low-income pregnant women in Kansas. We describe the Medicaid claims rates of physician-provided smoking cessation counseling for pregnant women, an evidence-based and universally recommended treatment approach for smoking cessation in this population. Our findings show that claims rates for smoking cessation benefits in this population are very low, even after policy changes to support provision of cessation assistance were implemented. Additional studies are needed to determine whether reimbursement is functioning as intended and identify potential gaps between policy and implementation of evidence-based smoking cessation treatment.

Comparison of native light daily smokers and light daily smokers who were former heavy smokers.

INTRODUCTION An increasing proportion of daily smokers are light smokers (≤10 cigarettes per day). Some light smokers have never smoked more than 10 cigarettes per day (native light smokers) and others smoked at higher levels but have cut down (converted light smokers). It is important that we expand our understanding of these distinct subgroups of light smokers in order to develop effective interventions. METHODS Data for this report come from a larger sample of smokers who completed a cross-sectional survey administered through an online panel survey service. The sample of 522 light smokers included 256 native light smokers and 266 as converted light smokers. The goal of the analysis was to examine demographic, smoking, and psychosocial factors that differentiate between native and converted light smokers. RESULTS Multivariable logistic regression results showed 4 variables that differentiated between native and converted light smokers. Native light smokers were more likely to be Black than White, smoke fewer cigarettes per day, smoked fewer total years, and had higher perceived risk of heart disease than converted light smokers. CONCLUSIONS Native and converted light smokers are similar in many ways and also differ on some important characteristics. Further exploration of group difference is needed and could help to inform for cessation strategies for daily light smokers.