Ryan Redner

Examining two different schedules of financial incentives for smoking cessation among pregnant women

OBJECTIVE To examine whether an efficacious voucher-based incentives intervention for decreasing smoking during pregnancy and increasing fetal growth could be improved without increasing costs. The strategy was to redistribute the usual incentives so that higher values were available early in the quit attempt. METHOD 118 pregnant smokers in greater Burlington, Vermont (studied December, 2006-June, 2012) were randomly assigned to the revised contingent voucher (RCV) or usual contingent voucher (CV) schedule of abstinence-contingent vouchers, or to a non-contingent voucher (NCV) control condition wherein vouchers were provided independent of smoking status. Smoking status was biochemically verified; serial sonographic estimates of fetal growth were obtained at gestational weeks 30-34. RESULTS RCV and CV conditions increased point-prevalence abstinence above NCV levels at early (RCV: 40%, CV: 46%, NCV: 13%, p=.007) and late-pregnancy (RCV: 45%; CV: 36%; NCV, 18%; p=.04) assessments, but abstinence levels did not differ between the RCV and CV conditions. The RCV intervention did not increase fetal growth above control levels while the CV condition did so (p<.05). CONCLUSION This trial further supports the efficacy of CV for increasing antepartum abstinence and fetal growth, but other strategies (e.g., increasing overall incentive values) will be necessary to improve outcomes further.

A review of the literature on contingency management in the treatment of substance use disorders, 2009-2014.

This report describes a systematic literature review of voucher and related monetary-based contingency management (CM) interventions for substance use disorders (SUDs) over 5.2years (November 2009 through December 2014). Reports were identified using the search engine PubMed, expert consultations, and published bibliographies. For inclusion, reports had to (a) involve monetary-based CM; (b) appear in a peer-reviewed journal; (c) include an experimental comparison condition; (d) describe an original study; (e) assess efficacy using inferential statistics; (f) use a research design allowing treatment effects to be attributed to CM. Sixty-nine reports met inclusion criteria and were categorized into 7 research trends: (1) extending CM to special populations, (2) parametric studies, (3) extending CM to community clinics, (4) combining CM with pharmacotherapies, (5) incorporating technology into CM, (6) investigating longer-term outcomes, (7) using CM as a research tool. The vast majority (59/69, 86%) of studies reported significant (p<0.05) during-treatment effects. Twenty-eight (28/59, 47%) of those studies included at least one follow-up visit after CM was discontinued, with eight (8/28, 29%) reporting significant (p<0.05) effects. Average effect size (Cohens d) during treatment was 0.62 (95% CI: 0.54, 0.70) and post-treatment it was 0.26 (95% CI: 0.11, 0.41). Overall, the literature on voucher-based CM over the past 5years documents sustained growth, high treatment efficacy, moderate to large effect sizes during treatment that weaken but remain evident following treatment termination, and breadth across a diverse set of SUDs, populations, and settings consistent with and extending results from prior reviews.

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.

Trends in tobacco use among US adults with chronic health conditions: National Survey on Drug Use and Health 2005-2013.

INTRODUCTION Chronic conditions are among the most common and costly of all health problems. Addressing tobacco use among adults with chronic conditions is a public health priority due to high prevalence as well as greater potential harm from continued use. METHODS Data were drawn from 9years (2005-2013) of the U.S. National Survey on Drug Use and Health. Adult (≥18years) tobacco use included any past 30-day use of cigarettes, cigars, pipes, or smokeless tobacco. Chronic conditions examined included anxiety, asthma, coronary heart disease, depression, diabetes, hepatitis, HIV, hypertension, lung cancer, stroke, and substance abuse. Controlling for sociodemographics, trends in product use for most conditions and a composite of any condition among those with chronic conditions were compared to respondents with no condition in weighted logistic regression analyses. RESULTS Cigarette smoking declined significantly over time among adults with no chronic condition. Adults with one or more chronic condition showed no comparable decrease, with cigarette smoking remaining especially high among those reporting anxiety, depression, and substance abuse. Cigar and pipe use remained stable and more prevalent among those with any chronic condition, with the exception of pipe use declining among those with heart disease. Smokeless tobacco use increased over time, with higher prevalence among those with asthma, mental health, and substance abuse conditions. CONCLUSIONS These findings have tobacco control and regulatory implications for addressing higher tobacco use among adults with chronic conditions. Provider advice and cessation resources targeting tobacco use among those with chronic conditions are recommended.

A literature review on prevalence of gender differences and intersections with other vulnerabilities to tobacco use in the United States, 2004–2014

This report describes results from a systematic literature review examining gender differences in U.S. prevalence rates of current use of tobacco and nicotine delivery products and how they intersect with other vulnerabilities to tobacco use. We searched PubMed on gender differences in tobacco use across the years 2004-2014. For inclusion, reports had to be in English, in a peer-reviewed journal or federal government report, report prevalence rates for current use of a tobacco product in males and females, and use a U.S. nationally representative sample. Prevalence rates were generally higher in males than in females across all products. This pattern remained stable despite changes over time in overall prevalence rates. Gender differences generally were robust when intersecting with other vulnerabilities, although decreases in the magnitude of gender differences were noted among younger and older users, and among educational levels and race/ethnic groups associated with the highest or lowest prevalence rates. Overall, these results document a pervasive association of gender with vulnerability to tobacco use that acts additively with other vulnerabilities. These vulnerabilities should be considered whenever formulating tobacco control and regulatory policies.

Tobacco and nicotine delivery product use in a national sample of pregnant women

Monitoring use of tobacco products among pregnant women is a public health priority, yet few studies in U.S. national samples have been reported on this topic. We examined prevalence and correlates of using cigarettes, e-cigarettes, and other tobacco/nicotine delivery products in a U.S. national sample of pregnant women. Data were obtained from all pregnant women (≥18 years) in the first wave of the Population Assessment of Tobacco and Health (PATH, 2013-2014) Study (N=388). Prevalence of current and prior use of tobacco/nicotine products was examined overall and among current cigarette smokers. Multiple logistic regression was used to examine correlates of use of cigarettes, e-cigarettes, hookah and cigars. Overall prevalence was highest for cigarettes (13.8%), followed by e-cigarettes (4.9%), hookah (2.5%) and cigars (2.3%), and below 1% for all other products. Prevalence of using other tobacco products is much higher among current smokers than the general population, with e-cigarettes (28.5%) most prevalent followed by cigars (14.0%), hookah (12.4%), smokeless (4.7%), snus (4.6%), and pipes (2.1%). Sociodemographic characteristics (poverty, low educational attainment, White race) and past-year externalizing psychiatric symptoms were correlated with current cigarette smoking. In turn, current cigarette smoking and past year illicit drug use were correlated with using e-cigarettes, hookah, and cigars. These results underscore that tobacco/nicotine use during pregnancy extends beyond cigarettes. The results also suggest that use of these other products should be included in routine clinical screening on tobacco use, and the need for more intensive tobacco control and regulatory strategies targeting pregnant women.

Co-occurring obesity and smoking among U.S. women of reproductive age: Associations with educational attainment and health biomarkers and outcomes

INTRODUCTION Obesity and smoking are independently associated with socioeconomic disadvantage and adverse health effects in women of reproductive age and their children, but little is known about co-occurring obesity and smoking. The purpose of this study was to investigate relationships between co-occurring obesity and smoking, socioeconomic status, and health biomarkers and outcomes in a nationally representative sample. METHODS Data from non-pregnant women of reproductive age were obtained from the U.S. National Health and Nutrition Examination Surveys reported between 2007 and 2010. Linear and logistic regressions were used to examine associations between obesity and smoking alone and in combination with educational attainment and a range of health biomarkers and outcomes. RESULTS Prevalence of co-occurring obesity and smoking was 8.1% (~4.1 million U.S. women of reproductive age) and increased as an inverse function of educational attainment, with the least educated women being 11.6 times more likely to be obese smokers than the most educated. Compared to women with neither condition, obese smokers had significantly poorer cardiovascular and glycemic biomarker profiles, and higher rates of menstrual irregularity, hysterectomy, oophorectomy, physical limitations, and depression. Obese smokers also had significantly worse high-density lipoprotein (HDL) cholesterol levels, physical mobility, and depression scores than those with obesity or smoking alone. CONCLUSIONS Co-occurring obesity and smoking is highly associated with low educational attainment, a marker of socioeconomic disadvantage, and a broad range of adverse health biomarkers and outcomes. Interventions specifically targeting co-occurring obesity and smoking are likely necessary in efforts to reduce health disparities among disadvantaged women and their children.

Vulnerability to Smokeless Tobacco Use Among Those Dependent on Alcohol or Illicit Drugs

INTRODUCTION Individuals dependent on alcohol or illicit drugs are vulnerable to cigarette smoking and related adverse health outcomes. Less research has been conducted regarding whether these same groups are vulnerable to smokeless tobacco (ST) use. The goal of this study is to examine vulnerability to ST use among individuals with other drug dependence. METHODS Utilizing the most recent (2011) National Survey on Drug Use and Health (NDSUH), we determined odds ratios (ORs) for current cigarette smoking and ST use among those with current alcohol, cocaine, heroin, and marijuana dependence, adjusting for relevant sociodemographic characteristics. Vulnerability to cigarette smoking was assessed to confirm that alcohol and illicit drug dependence were associated with increased smoking in these data sets, as shown in prior studies. Identical analyses were completed in the 2009 and 2010 NSDUH to assess generality. RESULTS Odds for current cigarette smoking were increased for each category of dependence (p < .0005): alcohol (OR with 99% CI = 3.30 [2.58, 4.21]), cocaine (OR = 4.50 [1.53, 13.20]), heroin (OR = 7.84 [1.92, 32.03]), and marijuana (OR = 3.55 [2.59, 4.88]). Odds for current ST use were also increased among those with alcohol dependence (OR = 1.56 [1.06, 2.30], p = .003) but not illicit drug dependence. Generality of the findings was confirmed in the 2009 and 2010 NSDUH. CONCLUSIONS Consistent with earlier reports, alcohol and illicit drug dependence are associated with robust increases in risk for cigarette smoking. In the case of alcohol dependence, but not illicit drug dependence, this vulnerability also extends to ST use.

Comparison of nicotine dependence indicators in predicting quitting among pregnant smokers.

Research in the general population of smokers indicates that across various measures of nicotine dependence, time to first cigarette (TTFC) is the strongest single-item predictor of quitting success. Whether those findings generalize to pregnant smokers is unclear. To investigate this matter, we compared TTFC with cigarettes per day (CPD) and the Heaviness of Smoking Index (HSI; Kozlowski, Porter, Orleans, Pope, & Heatherton, 1994) in predicting late-pregnancy abstinence among 289 pregnant women enrolled in 4 smoking-cessation trials assessing the efficacy of financial incentives. Logistic regression was used to compare predictors, with model fit measured using the c statistic (range = 0.5, poor prediction to 1.0, perfect prediction). In simple regressions, model fit was comparable across the 3 measures although strongest for CPD alone (c = 0.70, 0.68, 0.66 for CPD, HSI, and TTFC, respectively). In a stepwise multiple regression, treatment was entered first (c = 0.67), then CPD (c = 0.77), quit attempts prepregnancy (c = .81), TTFC (c = .82), and quit attempts during pregnancy (c = .83). We saw no evidence supporting TTFC as the optimal predictor of quitting among pregnant smokers. Instead, the evidence supported using CPD and TTFC together or CPD alone if using only a single predictor.

Use of High-Nicotine/Tar-Yield (Full-Flavor) Cigarettes and Risk for Nicotine Dependence in Nationally Representative Samples of US Smokers

INTRODUCTION The present study examines whether use of machine-estimated high-nicotine/tar-yield (full-flavor) cigarettes predicts greater risk of nicotine dependence after controlling for the influence of potential confounding factors in US nationally representative samples. METHODS Data were obtained from multiple years of the National Survey on Drug Use and Health (NSDUH). Nicotine dependence was measured by (1) the Nicotine Dependence Syndrome Scale and (2) latency to first cigarette after waking. Associations between use of high-nicotine/tar-yield cigarettes and risk for nicotine dependence were examined using multiple logistic regression. RESULTS The odds of nicotine dependence were reliably greater among users of high- compared to lower-nicotine/tar-yield cigarettes even after adjusting for sociodemographic and other smoking characteristics (Ps < .0001). This relationship was (1) generally graded across differing nicotine/tar-yield cigarettes, (2) discernible across two definitions of nicotine dependence and multiple NSDUH survey years, and (3) observed among adult and adolescent smokers. CONCLUSION Use of high-nicotine/tar-yield cigarettes is associated with increased odds of nicotine dependence, a relationship that has important tobacco regulatory implications. Whether the widespread marketing and availability of high-nicotine/tar-yield cigarettes is increasing risk of nicotine dependence among US smokers warrants further research. IMPLICATIONS This study adds additional empirical evidence to the relation of machine measured high-yield cigarettes and likelihood of nicotine dependence, and draws some implications in regards to regulation.