Hospital-Initiated Smoking Cessation Among Patients Admitted with Behavioral Health Conditions.

BACKGROUND: Smoking rates among people living with behavioral health conditions (BHC) range from 30 to 65% and are 2-4 times higher than rates found in the general population. Starting tobacco treatment during a hospital stay is effective for smoking cessation, but little is known regarding treatment response among inpatients with BHC. OBJECTIVE: This study pooled data across multiple clinical trials to determine the relative success in quitting among participants with BHC compared to other study participants. PARTICIPANTS: Adults who smoke (≥ 18 years old) from five hospital-based smoking cessation randomized clinical trials. DESIGN: A retrospective analysis using data from the electronic health record to identify participants with primary diagnoses related to BHC. Recruitment and data analysis were conducted from 2011 to 2016. We used propensity score matching to pair patients with BHC to those with similar characteristics and logistic regression to determine differences between groups. MEASURES: The main outcome was self-reported 30-day abstinence 6 months post-discharge. RESULTS: Of 6612 participants, 798 patients had a BHC-related primary diagnosis. The matched sample included 642 pairs. Nearly 1 in 3 reported using tobacco medications after hospitalization, with no significant difference between patients with and without BHC (29.3% vs. 31.5%; OR (95% CI) = 0.90 (0.71, 1.14), p = 0.40). Nearly 1 in 5 patients with BHC reported abstinence at 6 months; however, their odds of abstinence were 30% lower than among people without BHC (OR (95% CI) = 0.70 (0.53,0.92), p = 0.01). CONCLUSION: When offered tobacco treatment, hospitalized patients with BHC were as likely as people without BHC to accept and engage in treatment. However, patients with BHC were less likely to report abstinence compared to those without BHC. Hospitals are a feasible and promising venue for tobacco treatment among inpatients with BHC. More studies are needed to identify treatment approaches that help people with BHC achieve long-term abstinence.

Use of pre-enrollment randomization and delayed consent to maximize participation in a clinical trial of opt-in versus opt-out tobacco treatment.

Background: Enrollment in smoking cessation trials remain sub-optimal. The aim of this analysis was to determine the effectiveness of a modified Zelen's design in engaging hospitalized patients who smoke in a pragmatic OPT-IN versus OPT-OUT tobacco treatment trial. Methods: At bedside, clinical staff screened smokers for eligibility, randomized eligible into study arms, and delivered the appropriate treatment approach. Study staff called randomized patients at one-month post-discharge, debriefed patients on the study design, and collected consent to participate. We used frequencies and percentages for categorical variables and means and standard deviations for quantitative variables to describe the characteristics of those who consented and were enrolled versus those who did not enroll. We also compared the characteristics of participants who consented and those who were reached and explicitly refused consent at one-month follow-up. We used the Cohen's d measure of effect size to evaluate differences. Results: Of the 1,000 randomized, 741 (74.1%) consented to continue in the study at one-month follow-up. One hundred and twenty-seven (12.7%) refused consent and 132 (13.2%) were unreachable. Cohen's d effect size differences between those who consented/enrolled (n = 741) and those who were not enrolled (n = 259) were negligible (<0.2) for age, gender, race/ethnicity, and most forms of insurance. The effect size was small for Medicaid (0.36), and other public insurance (0.48). After excluding those unreached at 1 month (12.7%), there were medium Cohen's d effect size differences between those who consented to participate (n = 741) and those who explicitly refused (n = 127) with respect to age (0.55) and self-pay or no insurance (0.51). There were small to negligible effect size differences with respect to sex, race/ethnicity, and other forms of health insurance. Conclusions: The modified Zelen's design resulted in successful enrollment of most participants who were initially randomized into the trial, including those not motivated to quit.

Predictors of engagement in post-discharge quitline counseling among hospitalized smokers.

Quitlines provide evidence-based tobacco treatment and multiple calls yield higher quit rates. This study aimed to identify subgroups of smokers with greater quitline engagement following referral during hospitalization. Data were from a randomized clinical trial assessing the effectiveness of fax referral (referral faxed to proactive quitline) versus warm handoff (patient connected to quitline at bedside) (n = 1054). Classification and regression trees analyses evaluated individual and treatment/health system-related variables and their interactions. Among all participants, warm handoff, higher ratings of the tobacco treatment care transition, and being older predicted completing more quitline calls. Among patients enrolled in the quitline, higher transition of care ratings, being older, and use of cessation medication post-discharge predicted completing more calls. Three of the four factors influencing engagement were characteristics of treatment within the hospital (quality of tobacco treatment care transition and referral method) and therapy (use of cessation medications), suggesting potential targets to increase quitline engagement post-discharge.

Critical steps in the path to using cessation pharmacotherapy following hospital-initiated tobacco treatment.

BACKGROUND: Hospital-initiated smoking cessation interventions utilizing pharmacotherapy increase post-discharge quit rates. Use of smoking cessation medications following discharge may further increase quit rates. This study aims to identify individual, smoking-related and hospitalization-related predictors of engagement in three different steps in the smoking cessation pharmacotherapy utilization process: 1) receiving medications as inpatient, 2) being discharged with a prescription and 3) using medications at 1-month post-hospitalization, while accounting for associations between these steps. METHODS: Study data come from a clinical trial (N = 1054) of hospitalized smokers interested in quitting who were randomized to recieve referral to a quitline via either warm handoff or fax. Variables were from the electronic health record, the state tobacco quitline, and participant self-report. Relationships among the predictors and the steps in cessation medication utilization were assessed using bivariate analyses and multivariable path analysis. RESULTS: Twenty-eight percent of patients reported using medication at 1-month post-discharge. Receipt of smoking cessation medications while hospitalized (OR = 2.09, 95%CI [1.39, 3.15], p < .001) and discharge with a script (OR = 4.88, 95%CI [3.34, 7.13], p < .001) were independently associated with medication use at 1-month post-hospitalization. The path analysis also revealed that the likelihood of being discharged with a script was strongly influenced by receipt of medication as an inpatient (OR = 6.61, 95%CI [4.66, 9.38], p < .001). A number of other treatment- and individual-level factors were associated with medication use in the hospital, receipt of a script, and use post-discharge. CONCLUSIONS: To encourage post-discharge smoking cessation medication use, concerted effort should be made to engage smokers in tobacco treatment while in hospital. The individual and hospital-level factors associated with each step in the medication utilization process provide good potential targets for future implementation research to optimize treatment delivery and outcomes. TRIAL REGISTRATION: Number: NCT01305928 . Date registered: February 24, 2011.

Intent to quit, quit attempts, and perceived health risk reduction among African American, Latino, and White nondaily and daily smokers in the United States.

Objective: Ethnic and racial differences in smoking patterns and behaviors have been well documented and most African American and Latino smokers are nondaily or light smokers. However, differences within smoking levels are understudied. Our primary aim was to determine whether there are racial and ethnic differences among African American, Latino, and White nondaily, light daily, and moderate to heavy daily smokers on (1) perceived health risk reduction, (2) intentions to quit, and (3) past year quit attempts. Design: Smokers were recruited through an online research panel for a cross-sectional survey (n = 2376). Sampling quotas were used to obtain equal numbers of African American, Latino, and White nondaily and daily smokers. Results: African American (59.6%) and Latino (54%) nondaily smokers were more likely than White nondaily smokers (45%) to currently limit their cigarettes per day (cpd) as a perceived health risk reduction strategy (p < 0.05). African American nondaily smokers were more likely than Latino and White nondaily smokers (p < 0.05) to limit their smoking in the past year as a perceived health risk reduction strategy (range: 0 'never' to 5 'always'; Means = 3.2, 2.9, 3.0, standard deviations [SD] = 1.1, 1.1, 1.2, respectively). African American nondaily smokers (15%) were more likely than either Latinos (7.8%) or Whites (8.5%) to intend to quit in the next 30 days (p < 0.01). African American (61.6%) and Latino (60.3%) nondaily smokers were more likely than Whites (49%) to have made a quit attempt in the past year (p < 0.01). Fewer racial and ethnic differences were found among daily smokers. Conclusions: Racial and ethnic group differences were more pronounced among nondaily smokers compared to light daily smoker and moderate to heavy daily smokers. Smoking level is an important consideration in understanding racial and ethnic variation in perceived health risk reduction and cessation-related behaviors.

Enhancing partner support to improve smoking cessation.

BACKGROUND: While many cessation programmes are available to assist smokers in quitting, research suggests that support from individual partners, family members, or 'buddies' may encourage abstinence. OBJECTIVES: To determine if an intervention to enhance one-to-one partner support for smokers attempting to quit improves smoking cessation outcomes, compared with cessation interventions lacking a partner-support component. SEARCH METHODS: We limited the search to the Cochrane Tobacco Addiction Group Specialised Register, which was updated in April 2018. This includes the results of searches of the Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE (via OVID); Embase (via OVID); and PsycINFO (via OVID). The search terms used were smoking (prevention, control, therapy), smoking cessation and support (family, marriage, spouse, partner, sexual partner, buddy, friend, cohabitant and co-worker). We also reviewed the bibliographies of all included articles for additional trials. SELECTION CRITERIA: We included randomised controlled trials recruiting people who smoked. Trials were eligible if they had at least one treatment arm that included a smoking cessation intervention with a partner-support component, compared to a control condition providing behavioural support of similar intensity, without a partner-support component. Trials were also required to report smoking cessation at six months follow-up or more. DATA COLLECTION AND ANALYSIS: Two review authors independently identified the included studies from the search results, and extracted data using a structured form. A third review author helped resolve discrepancies, in line with standard methodological procedures expected by Cochrane. Smoking abstinence, biochemically verified where possible, was the primary outcome measure and was extracted at two post-treatment intervals where possible: at six to nine months and at 12 months or longer. We used a random-effects model to pool risk ratios from each study and estimate a summary effect. MAIN RESULTS: Our update search identified 465 citations, which we assessed for eligibility. Three new studies met the criteria for inclusion, giving a total of 14 included studies (n = 3370). The definition of partner varied among the studies. We compared partner support versus control interventions at six- to nine-month follow-up and at 12 or more months follow-up. We also examined outcomes among three subgroups: interventions targeting relatives, friends or coworkers; interventions targeting spouses or cohabiting partners; and interventions targeting fellow cessation programme participants. All studies gave self-reported smoking cessation rates, with limited biochemical verification of abstinence. The pooled risk ratio (RR) for abstinence was 0.97 (95% confidence interval (CI) 0.83 to 1.14; 12 studies; 2818 participants) at six to nine months, and 1.04 (95% CI 0.88 to 1.22; 7 studies; 2573 participants) at 12 months or more post-treatment. Of the 11 studies that measured partner support at follow-up, only two reported a significant increase in partner support in the intervention groups. One of these studies reported a significant increase in partner support in the intervention group, but smokers' reports of partner support received did not differ significantly. We judged one of the included studies to be at high risk of selection bias, but a sensitivity analysis suggests that this did not have an impact on the results. There were also potential issues with detection bias due to a lack of validation of abstinence in five of the 14 studies; however, this is not apparent in the statistically homogeneous results across studies. Using the GRADE system we rated the overall quality of the evidence for the two primary outcomes as low. We downgraded due to the risk of bias, as we judged studies with a high weighting in analyses to be at a high risk of detection bias. In addition, a study in both analyses was insufficiently randomised. We also downgraded the quality of the evidence for indirectness, as very few studies provided any evidence that the interventions tested actually increased the amount of partner support received by participants in the relevant intervention group. AUTHORS' CONCLUSIONS: Interventions that aim to enhance partner support appear to have no impact on increasing long-term abstinence from smoking. However, most interventions that assessed partner support showed no evidence that the interventions actually achieved their aim and increased support from partners for smoking cessation. Future research should therefore focus on developing behavioural interventions that actually increase partner support, and test this in small-scale studies, before large trials assessing the impact on smoking cessation can be justified.

Daily and Nondaily Smoking Varies by Acculturation among English-Speaking, US Latino Men and Women.

Background: Higher smoking prevalence and quantity (cigarettes per day) has been linked to acculturation in the United States among Latinas, but not Latino men. Our study examines variation between a different and increasingly important target behavior, smoking level (nondaily vs daily) and acculturation by sex. Methods: An online English-language survey was administered to 786 Latino smokers during July through August 2012. The Brief Acculturation Rating Scale for Mexican Americans-II (ARSMA-II) and other acculturation markers were used. Multinomial logistic regression models were implemented to assess the association between smoking levels (nondaily, light daily, and moderate/heavy daily) with acculturation markers. Results: Greater ARMSA-II scores (relative risk ratio, RRR=.81, 95% CI: .72-.91) and being born inside the United States (RRR=.42, 95% CI: .24-.74) were associated with lower relative risk of nondaily smoking. Greater Latino orientation (RRR=1.29, 95% CI: 1.11-1.48) and preference for Spanish language (RRR=1.06, 95% CI: 1.02-1.10) and media (RRR=1.12, 95% CI: 1.05-1.20) were associated with higher relative risk of nondaily smoking. The relationship between acculturation and smoking level did not differ by sex. Conclusion: This study found that among both male and female, English-speaking Latino smokers, nondaily smoking was associated with lower acculturation, while daily smoking was linked with higher acculturation.

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.

Tobacco outlet density and converted versus native non-daily cigarette use in a national US sample.

OBJECTIVE: Investigate whether non-daily smokers' (NDS) cigarette price and purchase preferences, recent cessation attempts, and current intentions to quit are associated with the density of the retail cigarette product landscape surrounding their residential address. PARTICIPANTS: Cross-sectional assessment of N=904 converted NDS (CNDS). who previously smoked every day, and N=297 native NDS (NNDS) who only smoked non-daily, drawn from a national panel. OUTCOME MEASURES: Kernel density estimation was used to generate a nationwide probability surface of tobacco outlets linked to participants' residential ZIP code. Hierarchically nested log-linear models were compared to evaluate associations between outlet density, non-daily use patterns, price sensitivity and quit intentions. RESULTS: Overall, NDS in ZIP codes with greater outlet density were less likely than NDS in ZIP codes with lower outlet density to hold 6-month quit intentions when they also reported that price affected use patterns (G2=66.1, p<0.001) and purchase locations (G2=85.2, p<0.001). CNDS were more likely than NNDS to reside in ZIP codes with higher outlet density (G2=322.0, p<0.001). Compared with CNDS in ZIP codes with lower outlet density, CNDS in high-density ZIP codes were more likely to report that price influenced the amount they smoke (G2=43.9, p<0.001), and were more likely to look for better prices (G2=59.3, p<0.001). NDS residing in high-density ZIP codes were not more likely to report that price affected their cigarette brand choice compared with those in ZIP codes with lower density. CONCLUSIONS: This paper provides initial evidence that the point-of-sale cigarette environment may be differentially associated with the maintenance of CNDS versus NNDS patterns. Future research should investigate how tobacco control efforts can be optimised to both promote cessation and curb the rising tide of non-daily smoking in the USA.

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.

Correlates of Converted and Native Nondaily Smoking.

OBJECTIVES: Nondaily smokers represent a growing proportion of current smokers in the United States. However, little is known about which characteristics are important in distinguishing between nondaily smokers who are former daily smokers (converted nondaily) and nondaily smokers who never smoked daily (native nondaily). This study contrasts converted and native nondaily smokers on demographic, psychosocial, tobacco-related characteristics and quit intentions and behaviors in a tri-ethnic sample (Blacks, Whites, and Latinos) of smokers. METHODS: Smokers were recruited for a web-based survey using an online panel survey company. Participants were 1,201 nondaily smokers (904 converted nondaily smokers and 297 native nondaily smokers). A multivariable logistic regression was conducted to assess the associations between demographic, smoking-related, and psychosocial variables with converted versus native nondaily smoking. RESULTS: Logistic regression indicated that number of years smoking, years as a nondaily smoker, number of days smoked in a month, smoking dependence, identity as a smoker, and number of smoking cessation methods used were correlates of being converted nondaily smokers versus native nondaily smokers. CONCLUSIONS: Clinicians and researchers should consider characteristic variations in nondaily smokers when designing and implementing intervention efforts targeting this smoking population.

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.

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.

Smoking Behaviors Among Urban and Rural Pregnant Women Enrolled in the Kansas WIC Program.

Smoking during pregnancy is associated with poor birth outcomes. The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is a public nutritional assistance program for low-income pregnant women and their children up to age five. This study examined differences in smoking behavior among women enrolled in the Kansas WIC program. A secondary analysis was conducted using the Pregnancy Nutrition Surveillance System dataset of enrolled women between 2005 and 2011. Geographic residency status was obtained through application of the Census tract-based rural-urban commuting area codes. Chi square tests of association were used to assess differences. Multi-variable binary logistic regression was used to assess maternal characteristics and smoking 3 months prior to pregnancy. Total sample size averaged 21,650 women for years 2005 through 2011. Low-income, rural pregnant women smoked at significantly higher rates before, during, and after pregnancy. High smoking rates have remained unchanged since 2008. The following characteristics were associated with reduced odds of smoking 3 months prior to pregnancy: being 17 years old or younger, Hispanic, a high school graduate, urban location, normal body mass index, no live births prior to current pregnancy, and using multi-vitamins. Results from this study indicate that the WIC population in rural areas may have different needs regarding smoking cessation programming than the urban WIC population. Findings help inform WIC program administrators and assist in enhancing current smoking cessation services to the Kansas WIC population.

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.

Unplanned quitting in a triethnic sample of U.S. smokers.

INTRODUCTION: Smokers who report quitting without prior planning have been shown to report longer abstinence compared with those who planned. Little is known about unplanned quitting (UQ) among U.S. smokers, minorities, or nondaily and light smokers. METHODS: Using an online panel, we recruited equal numbers of Black, White, and Latino nondaily, light daily, and moderate/heavy daily smokers. Of the 1,127 who reported a past-year quit attempt, we queried whether it was planned and the maximum number of days abstinent. RESULTS: Overall, 38% reported that their last quit attempt was unplanned. The impact of planned versus unplanned quitting interacted with smoking level and race. Among White moderate/heavy smokers, mean days abstinent was 99 for those who reported an unplanned quit attempt compared with 60 days for those who reported a planned attempt (p = .02). Among Black moderate/heavy smokers, the mean days abstinent was higher among those whose last attempt was planned, 92 days, compared with 56 days among those whose last attempt was unplanned (p = .09). The pattern among Latinos resembled Whites but was not significant. Results remained after adjusting for confounds such as age, gender, education, income, time to first cigarette, and menthol use. There were no significant differences in abstinence by quit type for light or nondaily smokers. CONCLUSIONS: Future studies are needed to elucidate why UQ appears to have differential effectiveness across racial/ethnic groups and different levels of cigarette use. Research examining the impact of UQ on long-term quitting, which is not addressed here, is needed.

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.

Reasons for smoking among tri-ethnic daily and nondaily smokers.

INTRODUCTION: Nondaily smokers experience adverse effects from tobacco use, yet they have been understudied compared to daily smokers. Understanding how reasons for smoking (RS) differ by smoking level, gender, and race/ethnicity could inform tailored interventions. 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 [AA], Latino, and White) across smoking level (native nondaily, converted nondaily, daily light, and daily moderate/heavy). RESULTS: A 7-factor structure of a 20-item Modified Reasons for Smoking Scale (MRSS) was confirmed (each subscale alpha > 0.80). Each factor of the MRSS varied by smoking level, with nondaily smokers endorsing all RS less frequently than daily smokers (p < .0001). The 4 smoker subgroups incrementally differed from one another (p < .05) with several exceptions between converted nondaily and daily light smokers. Males reported stronger RS on 5 out of 7 reasons (p < .05). Females had higher scores on tension reduction/relaxation (p < .0001). Latinos reported stronger RS than Whites and AAs on all reasons (p < .05) except for tension reduction/relaxation (p > .05). AAs and Whites were comparable on all RS (p > .05). CONCLUSIONS: The present study highlights considerable variability across smoking level, gender, and race/ethnicity in strength of RS. Addressing subgroup differences in RS may contribute to more sensitive and effective prevention and treatment efforts.

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 Spearman's 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.