Jeff S. Priest

Co-occurring risk factors for current cigarette smoking in a U.S. nationally representative sample.

INTRODUCTION Relatively little has been reported characterizing cumulative risk associated with co-occurring risk factors for cigarette smoking. The purpose of the present study was to address that knowledge gap in a U.S. nationally representative sample. METHODS Data were obtained from 114,426 adults (≥18years) in the U.S. National Survey on Drug Use and Health (years 2011-13). Multiple logistic regression and classification and regression tree (CART) modeling were used to examine risk of current smoking associated with eight co-occurring risk factors (age, gender, race/ethnicity, educational attainment, poverty, drug abuse/dependence, alcohol abuse/dependence, mental illness). RESULTS Each of these eight risk factors was independently associated with significant increases in the odds of smoking when concurrently present in a multiple logistic regression model. Effects of risk-factor combinations were typically summative. Exceptions to that pattern were in the direction of less-than-summative effects when one of the combined risk factors was associated with generally high or low rates of smoking (e.g., drug abuse/dependence, age ≥65). CART modeling identified subpopulation risk profiles wherein smoking prevalence varied from a low of 11% to a high of 74% depending on particular risk factor combinations. Being a college graduate was the strongest independent predictor of smoking status, classifying 30% of the adult population. CONCLUSIONS These results offer strong evidence that the effects associated with common risk factors for cigarette smoking are independent, cumulative, and generally summative. The results also offer potentially useful insights into national population risk profiles around which U.S. tobacco policies can be developed or refined.

E-cigarette use among women of reproductive age: Impulsivity, cigarette smoking status, and other risk factors

INTRODUCTION The study aim was to examine impulsivity and other risk factors for e-cigarette use among women of reproductive age comparing current daily cigarette smokers to never cigarette smokers. Women of reproductive age are of special interest because of the additional risk that tobacco and nicotine use represents should they become pregnant. METHOD Survey data were collected anonymously online using Amazon Mechanical Turk in 2014. Participants were 800 women ages 24-44years from the US. Half (n=400) reported current, daily smoking and half (n=400) reported smoking <100 cigarettes lifetime. Participants completed questionnaires regarding sociodemographics, tobacco/nicotine use, and impulsivity (i.e., delay discounting & Barratt Impulsiveness Scale). Predictors of smoking and e-cigarette use were examined using logistic regression. RESULTS Daily cigarette smoking was associated with greater impulsivity, lower education, past illegal drug use, and White race/ethnicity. E-cigarette use in the overall sample was associated with being a cigarette smoker and greater education. E-cigarette use among current smokers was associated with increased nicotine dependence and quitting smoking; among never smokers it was associated with greater impulsivity and illegal drug use. E-cigarette use was associated with hookah use, and for never smokers only with use of cigars and other nicotine products. CONCLUSIONS E-cigarette use among women of reproductive age varies by smoking status, with use among current smokers reflecting attempts to quit smoking whereas among non-smokers use may be a marker of a more impulsive repertoire that includes greater use of alternative tobacco products and illegal drugs.

Addiction Potential of Cigarettes With Reduced Nicotine Content in Populations With Psychiatric Disorders and Other Vulnerabilities to Tobacco Addiction.

Importance A national policy is under consideration to reduce the nicotine content of cigarettes to lower nicotine addiction potential in the United States. Objective To examine how smokers with psychiatric disorders and other vulnerabilities to tobacco addiction respond to cigarettes with reduced nicotine content. Design, Setting, and Participants A multisite, double-blind, within-participant assessment of acute response to research cigarettes with nicotine content ranging from levels below a hypothesized addiction threshold to those representative of commercial cigarettes (0.4, 2.3, 5.2, and 15.8 mg/g of tobacco) at 3 academic sites included 169 daily smokers from the following 3 vulnerable populations: individuals with affective disorders (n = 56) or opioid dependence (n = 60) and socioeconomically disadvantaged women (n = 53). Data were collected from March 23, 2015, through April 25, 2016. Interventions After a brief smoking abstinence, participants were exposed to the cigarettes with varying nicotine doses across fourteen 2- to 4-hour outpatient sessions. Main Outcomes and Measures Addiction potential of the cigarettes was assessed using concurrent choice testing, the Cigarette Purchase Task (CPT), and validated measures of subjective effects, such as the Minnesota Nicotine Withdrawal Scale. Results Among the 169 daily smokers included in the analysis (120 women [71.0%] and 49 men [29.0%]; mean [SD] age, 35.6 [11.4] years), reducing the nicotine content of cigarettes decreased the relative reinforcing effects of smoking in all 3 populations. Across populations, the 0.4-mg/g dose was chosen significantly less than the 15.8-mg/g dose in concurrent choice testing (mean [SEM] 30% [0.04%] vs 70% [0.04%]; Cohen d = 0.40; P < .001) and generated lower demand in the CPT (&agr; = .027 [95% CI, 0.023-0.031] vs &agr; = .019 [95% CI, 0.016-0.022]; Cohen d = 1.17; P < .001). Preference for higher over lower nicotine content cigarettes could be reversed by increasing the response cost necessary to obtain the higher dose (mean [SEM], 61% [0.02%] vs 39% [0.02%]; Cohen d = 0.40; P < .001). All doses reduced Minnesota Nicotine Withdrawal Scale total scores (range of mean decreases, 0.10-0.50; Cohen d range, 0.21-1.05; P < .001 for all), although duration of withdrawal symptoms was greater at higher doses (&eegr;2 = 0.008; dose-by-time interaction, P = .002). Conclusions and Relevance Reducing the nicotine content of cigarettes may decrease their addiction potential in populations that are highly vulnerable to tobacco addiction. Smokers with psychiatric conditions and socioeconomic disadvantage are more addicted and less likely to quit and experience greater adverse health impacts. Policies to reduce these disparities are needed; reducing the nicotine content in cigarettes should be a policy focus.

E-cigarette awareness, perceived harmfulness, and ever use among U.S. adults

The overarching aims of this study are to (a) estimate and update knowledge on rates and predictors of awareness, perceived harmfulness, and ever use of e-cigarettes among U.S. adults and (b) to utilize that information to identify risk-factor profiles associated with ever use. Data were collected from the 2015 Health Information National Trends Survey (N=3738). Logistic regression was used to explore relationships between sociodemographics (gender, age, race/ethnicity, sexual orientation, educational attainment, income, and census region), current use of other tobacco products (conventional cigarettes, cigars, and smokeless tobacco), ever use of alternative products (hookah, pipes, roll-your-own cigarettes, and snus) and e-cigarette awareness, perceived harm, and ever use. Classification and regression tree (CART) modeling was used to examine risk-factor profiles of e-cigarette ever use. Results showed that most respondents were aware of e-cigarettes (83.6%) and perceived them to be not at all or moderately harmful (54.7%). Prevalence of e-cigarette ever use was 22.4%. Current cigarette smoking and ever use of alternative tobacco products were powerful predictors of use. Other predictors of use of e-cigarettes were age, race/ethnicity, and educational attainment. Awareness and perceived harm were significant predictors among particular smoker subgroups. Fifteen risk profiles were identified across which prevalence of e-cigarette use varied from 6 to 94%. These results underscore the need to continue monitoring patterns of e-cigarette use. They also provide new knowledge regarding risk-profiles associated with striking differences in prevalence of e-cigarette use that have the potential to be helpful when considering the need for or impact of e-cigarette regulatory policies.

Does tobacco abstinence decrease reward sensitivity? A human laboratory test

Introduction Animal studies report abstinence from nicotine makes rewards less rewarding; however, the results of human tests of the effects of cessation on reward sensitivity are mixed. The current study tested reward sensitivity in abstinent smokers using more rigorous methods than most prior studies. Methods A human laboratory study compared outcomes for 1 week prior to quitting to those during 4 weeks postquit. The study used smokers trying to quit, objective and subjective measures, multiple measures during smoking and abstinence, and monetary rewards to increase the prevalence of abstinence. Current daily smokers (n = 211) who were trying to quit completed an operant measure of reward sensitivity and a survey of pleasure from various rewards as well as self-reports of anhedonia, delay discounting, positive affect, and tobacco withdrawal twice each week. A comparison group of long-term former smokers (n = 67) also completed the tasks weekly for 4 weeks. Primary analyses were based on the 61 current smokers who abstained for all 4 weeks. Results Stopping smoking decreased self-reported pleasure from rewards but did not decrease reward sensitivity on the operant task. Abstinence also decreased self-reported reward frequency and increased the two anhedonia measures. However, the changes with abstinence were small for all outcomes (6%-14%) and most lasted less than a week. Conclusions Abstinence from tobacco decreased most self-report measures of reward sensitivity; however, it did not change the objective measure. The self-report effects were small. Implications Animal research suggests that nicotine withdrawal decreases reward sensitivity. Replication tests of this in humans have produced inconsistent results. We report what we believe is a more rigorous test. We found smoking abstinence slightly decreases self-reports of reward sensitivity but does not do so for a behavioral measure of reward sensitivity.

Use of higher-nicotine/tar-yield (regular full-flavor) cigarettes is associated with nicotine dependence and smoking during pregnancy among U.S. women.

The present study examined full-flavor cigarette use among women of reproductive age to assess whether use is associated with greater nicotine dependence and smoking during pregnancy. We used data from the National Survey on Drug Use and Health (2005-2014). Consecutive years were combined to assure sufficient numbers of pregnant women. We examined whether use of full-flavor cigarettes was associated with greater odds of nicotine dependence using the Fagerstrom Test for Nicotine Dependence and Nicotine Dependence Syndrome Scale (NDSS), controlling for other smoking characteristics. We next compared prevalence of smoking and use of full-flavor versus lower-yield cigarettes among non-pregnant versus pregnant women and across trimesters. Lastly, we examined whether pregnancy was associated with greater odds of using full-flavor cigarettes after controlling for potential confounders. Use of full-flavor cigarettes was associated with greater adjusted odds of nicotine dependence compared to lower yields among non-pregnant (Fagerstrom: 2.50, 95% CI: 2.32,2.70; NDSS: 1.75, 95% CI: 1.62,1.88) and pregnant (Fagerstrom: 1.53, 95% CI: 1.13,2.05; NDSS: 1.53, 95% CI: 1.12,2.10) smokers. As smoking prevalence decreased among pregnant compared to non-pregnant women (14.31±0.55% versus 22.73±0.17%), prevalence of using full-flavor cigarettes increased (54.82±1.63% versus 38.86±0.35%). Similarly, as smoking prevalence decreased from 1st to 3rd trimester (19.65±1.2%, 12.50±0.84%, 11.3±0.83%), prevalence of using full-flavor cigarettes increased (53.12±2.53%, 50.57+2.92%, 63.63±3.19%). Overall, pregnancy was associated with 1.43 (95% CI: 1.22, 1.68) greater adjusted odds of full-flavor cigarette use. These results indicate that users of full-flavor cigarettes have greater nicotine-dependence risk and lower likelihood of quitting smoking during pregnancy, relationships with potential for serious adverse maternal-infant health impacts.

Socioeconomic Disadvantage and Other Risk Factors for Using Higher-Nicotine/Tar-Yield (Regular Full-Flavor) Cigarettes.

Introduction Use of machine-estimated higher nicotine/tar yield (regular full-flavor) cigarettes is associated with increased risk of nicotine dependence. The present study examined risk factors for using full-flavor versus other cigarette types, including socioeconomic disadvantage and other risk factors for tobacco use or tobacco-related adverse health impacts. Associations between use of full-flavor cigarettes and risk of nicotine dependence were also examined. Methods Data were obtained from nationally representative samples of adult cigarette smokers from the US National Survey on Drug Use and Health. Logistic regression and classification and regression tree modeling were used to examine associations between use of full-flavor cigarettes and educational attainment, poverty, race/ethnicity, age, sex, mental illness, alcohol abuse/dependence, and illicit drug abuse/dependence. Logistic regression was used to examine risk for nicotine dependence. Results Each of these risk factors except alcohol abuse/dependence independently predicted increased odds of using full-flavor cigarettes (p < .001), with lower educational attainment the strongest predictor, followed by poverty, male sex, younger age, minority race/ethnicity, mental illness, and drug abuse/dependence, respectively. Use of full-flavor cigarettes was associated with increased odds of nicotine dependence within each of these risk factor groupings (p < .01). Cart modeling identified how prevalence of full-flavor cigarette use can vary from a low of 25% to a high of 66% corresponding to differing combinations of these independent risk factors. Conclusions Use of full-flavor cigarettes is overrepresented in socioeconomically disadvantaged and other vulnerable populations, and associated with increased risk of nicotine dependence. Greater regulation of this cigarette type may be warranted. Implications Greater regulation of commercially available Regular Full-Flavor Cigarettes may be warranted. Use of this type of cigarette is overrepresented in socioeconomically disadvantaged and other vulnerable populations and associated with increased risk for nicotine dependence.

Development of a Self-Report Measure of Reward Sensitivity:A Test in Current and Former Smokers

Introduction Tobacco use or abstinence may increase or decrease reward sensitivity. Most existing measures of reward sensitivity were developed decades ago, and few have undergone extensive psychometric testing. Methods We developed a 58-item survey of the anticipated enjoyment from, wanting for, and frequency of common rewards (the Rewarding Events Inventory-REI). The current analysis focuses on ratings of anticipated enjoyment. The first validation study recruited current and former smokers from Internet sites. The second study recruited smokers who wished to quit and monetarily reinforced them to stay abstinent in a laboratory study and a comparison group of former smokers. In both studies, participants completed the inventory on two occasions, 3-7 days apart. They also completed four anhedonia scales and a behavioral test of reduced reward sensitivity. Results Half of the enjoyment ratings loaded on four factors: socializing, active hobbies, passive hobbies, and sex/drug use. Cronbachs alpha coefficients were all ≥0.73 for overall mean and factor scores. Test-retest correlations were all ≥0.83. Correlations of the overall and factor scores with frequency of rewards and anhedonia scales were 0.19-0.53, except for the sex/drugs factor. The scores did not correlate with behavioral tests of reward and did not differ between current and former smokers. Lower overall mean enjoyment score predicted a shorter time to relapse. Discussion Internal reliability and test-retest reliability of the enjoyment outcomes of the REI are excellent, and construct and predictive validity are modest but promising. The REI is comprehensive and up-to-date, yet is short enough to use on repeated occasions. Replication tests, especially predictive validity tests, are needed. Implications Both use of and abstinence from nicotine appear to increase or decrease how rewarding nondrug rewards are; however, self-report scales to test this have limitations. Our inventory of enjoyment from 58 rewards appears to be reliable and valid as well as comprehensive and up-to-date, yet is short enough to use on repeated occasions. Replication tests, especially of the predictive validity of our scale, are needed.

Some context for understanding the place of the general educational development degree in the relationship between educational attainment and smoking prevalence.

INTRODUCTION Individuals with a General Educational Development (GED) degree have the highest smoking prevalence of any education level, including high school dropouts without a GED. Yet little research has been reported providing a context for understanding the exception that the GED represents in the otherwise graded inverse relationship between educational attainment and smoking prevalence. We investigated whether the GED may be associated with a general riskier profile that includes but is not limited to increased smoking prevalence. METHOD Data were obtained from three years (2011-2013) of the National Survey on Drug Use and Health ([NSDUH], N=55,940]). Prevalence of risky repertoire indicators (e.g., ever arrested, seldom/never wears a seatbelt), indicators of social instability (e.g., frequent relocations), and risky demographic characteristics (e.g., male gender) were compared among high school dropouts, GED holders, and high school graduates using Rao-Scott chi square goodness-of-fit tests and multiple logistic regression. RESULTS Those with GEDs differed significantly between both high school dropouts and high school graduates across 19 of 27 (70.4%) risk indicators. Controlling for risky profile characteristics accounted for a significant but limited (25-30%) proportion of the variance in smoking prevalence across these three education levels. CONCLUSION GED holders exhibit a broad high-risk profile of which smoking is just one component. Future research evaluating additional risk indicators and mechanisms that may underpin this generalized risky repertoire are likely needed for a more complete understanding of GEDs place in the important relationship between educational attainment and smoking prevalence.

Characterizing the intersection of Co-occurring risk factors for illicit drug abuse and dependence in a U.S. nationally representative sample

Few studies have attempted to characterize how co-occurring risk factors for substance use disorders intersect. A recent study examined this question regarding cigarette smoking and demonstrated that co-occurring risk factors generally act independently. The present study examines whether that same pattern of independent intersection of risk factors extends to illicit drug abuse/dependence using a U.S. nationally representative sample (National Survey on Drug Use and Health, 2011-2013). Logistic regression and classification and regression tree (CART) modeling were used to examine risk of past-year drug abuse/dependence associated with a well-established set of risk factors for substance use (age, gender, race/ethnicity, education, poverty, smoking status, alcohol abuse/dependence, mental illness). Each of these risk factors was associated with significant increases in the odds of drug abuse/dependence in univariate logistic regressions. Each remained significant in a multivariate model examining all eight risk factors simultaneously. CART modeling of these 8 risk factors identified subpopulation risk profiles wherein drug abuse/dependence prevalence varied from <1% to >80% corresponding to differing combinations of risk factors present. Alcohol abuse/dependence and cigarette smoking had the strongest associations with drug abuse/dependence risk. These results demonstrate that co-occurring risk factors for illicit drug/abuse dependence generally intersect in the same independent manner as risk factors for cigarette smoking, underscoring further fundamental commonalities across these different types of substance use disorders. These results also underscore the fundamental importance of differences in the presence of co-occurring risk factors when considering the often strikingly different prevalence rates of illicit drug abuse/dependence in U.S. population subgroups.