Nicholas I. Goldenson

Associations of Electronic Cigarette Nicotine Concentration With Subsequent Cigarette Smoking and Vaping Levels in Adolescents

Importance Research indicates that electronic cigarette (e-cigarette) use (vaping) among adolescents is associated with the initiation and progression of combustible cigarette smoking. The reasons for this association are unknown. Objective To evaluate whether use of e-cigarettes with higher nicotine concentrations is associated with subsequent increases in the frequency and intensity of combustible cigarette smoking and vaping. Design, Setting, and Participants In this prospective cohort study involving students from 10 high schools in the Los Angeles, California, metropolitan area, surveys were administered during 10th grade in the spring (baseline) and 11th grade in the fall (6-month follow-up) of 2015 to students who reported using e-cigarettes within the past 30 days and the nicotine concentration level they used at baseline. Exposures Self-report of baseline e-cigarette nicotine concentration of none (0 mg/mL), low (1-5 mg/mL), medium (6-17 mg/mL), or high (≥18 mg/mL) typically used during the past 30 days. Main Outcomes and Measures Frequency of combustible cigarette smoking and e-cigarette use within the past 30 days (0 days [none], 1-2 days [infrequent], or ≥3 days [frequent]) and daily intensity of smoking and vaping (number of cigarettes smoked per day, number of vaping episodes per day, and number of puffs per vaping episode) at the 6-month follow-up. Results The analytic sample included 181 students (96 boys [53.0%] and 85 girls [47.0%]; mean [SD] age, 16.1 [0.4] years). Each successive increase in nicotine concentration (none to low, low to medium, and medium to high) vaped was associated with a 2.26 (95% CI, 1.28-3.98) increase in the odds of frequent (vs no) smoking and a 1.65 (95% CI, 1.09-2.51) increase in the odds of frequent (vs no) vaping at follow-up after adjustment for baseline frequency of smoking and vaping and other relevant covariates. Use of e-cigarettes with high (vs no) nicotine concentration was associated with a greater number of cigarettes smoked per day at follow-up (adjusted rate ratio [RR], 7.03; 95% CI, 6.11-7.95). An association with a significantly greater number of vaping episodes per day was found with use of low (adjusted RR, 3.32; 95% CI, 2.61-4.03), medium (adjusted RR, 3.32; 95% CI, 2.54-4.10), and high (adjusted RR, 2.44; 95% CI, 1.63-3.24) nicotine concentrations (vs no nicotine) at baseline. Similar results were found for the number of puffs per vaping episode for low (adjusted RR, 2.05; 95% CI, 1.41-2.70), medium (adjusted RR, 3.39; 95% CI, 2.66-4.11), and high (adjusted RR, 2.23; 95% CI, 1.42-3.03) nicotine concentrations. Conclusions and Relevance The results of this study provide preliminary evidence that use of e-cigarettes with higher nicotine concentrations by youths may increase subsequent frequency and intensity of smoking and vaping.

Assessing electronic cigarette effects and regulatory impact: Challenges with user self-reported device power

BACKGROUND Electronic cigarettes (ECIGs) aerosolize liquids for user inhalation that usually contain nicotine. ECIG nicotine emission is determined, in part, by user behavior, liquid nicotine concentration, and electrical power. Whether users are able to report accurately nicotine concentration and device electrical power has not been evaluated. This studys purpose was to examine if ECIG users could provide data relevant to understanding ECIG nicotine emission, particularly liquid nicotine concentration (mg/ml) as well as battery voltage (V) and heater resistance (ohms, Ω) - needed to calculate power (watts, W). METHODS Adult ECIG users (N=165) were recruited from Los Angeles, CA for research studies examining the effects of ECIG use. We asked all participants who visited the laboratory to report liquid nicotine concentration, V, and Ω. RESULTS Liquid nicotine concentration was reported by 89.7% (mean=9.5mg/ml, SD=7.3), and responses were consistent with the distribution of liquids available in commonly marketed products. The majority could not report voltage (51.5%) or resistance (63.6%). Of the 40 participants (24.8%) who reported voltage and resistance, there was a substantial power range (2.2-32,670W) the upper limit of which exceeds that of the highest ECIG reported by any user to our knowledge (i.e., 2512W). If 2512W is taken as the upper limit, only 30 (18.2%) reported valid results (mean 237.3W, SD=370.6; range=2.2-1705.3W). CONCLUSIONS Laboratory, survey, and other researchers interested in understanding ECIG effects to inform users and policymakers may need to use methods other than user self-report to obtain information regarding device power.

Characterizing Polytobacco Use Trajectories and Their Associations With Substance Use and Mental Health Across Mid-Adolescence

Abstract Background Polytobacco product use is suspected to be common, dynamic across time, and increase risk for adverse behavioral outcomes. We statistically modeled characteristic types of polytobacco use trajectories during mid-adolescence and tested their prospective association with substance use and mental health problems. Methods Adolescents (N = 3393) in Los Angeles, CA, were surveyed semiannually from 9th to 11th grade. Past 6-month combustible cigarette, e-cigarette, or hookah use (yes/no) over four assessments were analyzed using parallel growth mixture modeling to identify a parsimonious set of polytobacco use trajectories. A tobacco product use trajectory group was used to predict substance use and mental health at the fifth assessment. Results Three profiles were identified: (1) tobacco nonusers (N = 2291, 67.5%) with the lowest use prevalence (<3%) of all products across all timepoints; (2) polyproduct users (N = 920, 27.1%) with moderate use prevalence of each product (8–35%) that escalated for combustible cigarettes but decreased for e-cigarettes and hookah across time; and (3) chronic polyproduct users (N = 182, 5.4%) with high prevalence of each product use (38–86%) that escalated for combustible cigarettes and e-cigarettes. Nonusers, polyproduct users, and chronic polyproduct users reported successively higher alcohol, marijuana, and illicit drug use and ADHD at the final follow-up, respectively. Both tobacco using groups (vs. nonusers) reported greater odds of depression and anxiety at the final follow-up but did not differ from each other. Conclusions Adolescent polytobacco use may involve a common moderate risk trajectory and a less common high-risk chronic trajectory. Both trajectories predict substance use and mental health symptomology. Implications Variation in use and co-use of combustible cigarette, e-cigarette, and hookah use in mid-adolescence can be parsimoniously characterized by a small set common trajectory profiles in which polyproduct use are predominant patterns of tobacco product use, which predict adverse behavioral outcomes. Prevention and policy addressing polytobacco use (relative to single product use) may be optimal tobacco control strategies for youth, which may in turn prevent other forms of substance use and mental health problems.

Association of Digital Media Use With Subsequent Symptoms of Attention-Deficit/Hyperactivity Disorder Among Adolescents

Importance Modern digital platforms are easily accessible and intensely stimulating; it is unknown whether frequent use of digital media may be associated with symptoms of attention-deficit/hyperactivity disorder (ADHD). Objective To determine whether the frequency of using digital media among 15- and 16-year-olds without significant ADHD symptoms is associated with subsequent occurrence of ADHD symptoms during a 24-month follow-up. Design, Setting, and Participants Longitudinal cohort of students in 10 Los Angeles County, California, high schools recruited through convenience sampling. Baseline and 6-, 12-, 18-, and 24-month follow-up surveys were administered from September 2014 (10th grade) to December 2016 (12th grade). Of 4100 eligible students, 3051 10th-graders (74%) were surveyed at the baseline assessment. Exposures Self-reported use of 14 different modern digital media activities at a high-frequency rate over the preceding week was defined as many times a day (yes/no) and was summed in a cumulative index (range, 0-14). Main Outcomes and Measures Self-rated frequency of 18 ADHD symptoms (never/rare, sometimes, often, very often) in the 6 months preceding the survey. The total numbers of 9 inattentive symptoms (range, 0-9) and 9 hyperactive-impulsive symptoms (range, 0-9) that students rated as experiencing often or very often were calculated. Students who had reported experiencing often or very often 6 or more symptoms in either category were classified as being ADHD symptom-positive. Results Among the 2587 adolescents (63% eligible students; 54.4% girls; mean [SD] age 15.5 years [0.5 years]) who did not have significant symptoms of ADHD at baseline, the median follow-up was 22.6 months (interquartile range [IQR], 21.8-23.0, months). The mean (SD) number of baseline digital media activities used at a high-frequency rate was 3.62 (3.30); 1398 students (54.1%) indicated high frequency of checking social media (95% CI, 52.1%-56.0%), which was the most common media activity. High-frequency engagement in each additional digital media activity at baseline was associated with a significantly higher odds of having symptoms of ADHD across follow-ups (OR, 1.11; 95% CI, 1.06-1.16). This association persisted after covariate adjustment (OR, 1.10; 95% CI, 1.05-1.15). The 495 students who reported no high-frequency media use at baseline had a 4.6% mean rate of having ADHD symptoms across follow-ups vs 9.5% among the 114 who reported 7 high-frequency activities (difference; 4.9%; 95% CI, 2.5%-7.3%) and vs 10.5% among the 51 students who reported 14 high-frequency activities (difference, 5.9%; 95% CI, 2.6%-9.2%). Conclusions and Relevance Among adolescents followed up over 2 years, there was a statistically significant but modest association between higher frequency of digital media use and subsequent symptoms of ADHD. Further research is needed to determine whether this association is causal.

Validation of a behavioral economic purchase task for assessing drug abuse liability: Behavioral economic task for assessing abuse liability

Behavioral economic purchase tasks quantify drug demand (i.e. reinforcing value of a drug) and have been used extensively to assess the value of various drugs among current users. However, purchase tasks have been rarely used with unfamiliar drugs to address a compounds abuse liability, and the current study sought to validate the paradigm in this capacity. Using a double‐blind placebo‐controlled within‐subjects drug challenge design, the study evaluated differential drug demand on an experimental drug purchase task for a 20 mg dose of oral D‐amphetamine (versus placebo), a prototypic psychostimulant, in 98 stimulant‐naïve participants. Compared with placebo, amphetamine significantly increased intensity, breakpoint and Omax, and significantly decreased elasticity. Mechanistic analyses revealed that Omax and breakpoint mediated the relationship between subjective drug effects and ‘willingness to take again’, a putative indicator of liability via motivation for future drug‐seeking behavior. These findings validate the purchase task paradigm for quantifying the reinforcing value and, in turn, abuse liability of unfamiliar compounds, providing a foundation for a variety of future applications.

Associations of ADHD Symptoms With Smoking and Alternative Tobacco Product Use Initiation During Adolescence

Objective Recently, use of alternative tobacco products, such as electronic cigarettes (e-cigarettes) and hookah (water-pipe tobacco), has increased among adolescents. It is unknown whether attention-deficit hyperactivity disorder (ADHD) symptoms are associated with initiation of alternative tobacco product use. Methods Ninth grade high school students who never used any tobacco product at baseline (N = 1,921) participated in a longitudinal survey from 2014 to 2015. Overall symptomatology and inattention (IN) and hyperactivity-impulsivity (HI) ADHD subtypes were assessed at baseline. Past 6-month e-cigarette, hookah, and combustible cigarette use (yes/no) were reported at three semi-annual follow-ups. Repeated measures logistic regression models assessed the association of baseline ADHD symptoms with likelihood of tobacco product initiation across follow-ups. Results For ADHD main effect estimates, unadjusted odds of reporting e-cigarette, hookah, and combustible cigarette use pooled across follow-up time points were 45%, 33%, and 37% greater, respectively, with each increase in one SD-unit of baseline ADHD symptoms in baseline never-users of tobacco products. ADHD was not associated with hookah or combustible cigarette use after adjusting for other risk factors. After adjustment, e-cigarette use initiation remained associated with overall ADHD (odds ratio, OR [95%confidence interval, 95% CI] = 1.22 [1.04, 1.42]) and HI (OR [95% CI] = 1.26 [1.09, 1.47]) symptoms, but not IN symptoms (OR [95% CI] = 1.13 [0.97, 1.32]). ADHD × Time interactions were not significant, suggesting ADHD increased odds of e-cigarette use initiation but did not alter the shape of use trajectory across follow-up among initiators. Conclusions Understanding the psychosocial mechanisms underlying the pathway from ADHD to e-cigarette use may advance tobacco product use etiologic theory and prevention practice in the current era in which e-cigarette use is popular among youth.

Longitudinal Associations Between Anhedonia and Body Mass Index Trajectory Groups Among Adolescents

PURPOSE Although evidence suggests that anhedonia-a reduced ability to experience pleasure in response to rewarding stimuli-may predict weight gain during adolescence, it remains unclear whether changes in anhedonia during adolescence are associated with changes in body mass index (BMI). This study examines longitudinal associations between changes in anhedonia and developmental trajectories of BMI during adolescence. METHODS Self-report measures of anhedonia and BMI were collected at five semiannual assessments among students from 10 high schools in Los Angeles, CA, area (N = 3,396) followed up from the 9th grade to the 11th grade. Four BMI trajectories were identified using growth mixture modeling: (1) stable normative weight; (2) overweight to normative weight (i.e., decreasing BMI); (3) overweight to chronically obese (increasing BMI); and (4) normative weight to overweight (increasing BMI). Latent growth curve modeling estimated baseline level and changes in anhedonia. A multinomial logistic regression model tested associations of baseline level and slope of anhedonia with the four BMI trajectory groups. RESULTS Compared with the stable normative BMI trajectory group, each 1-unit standard deviation increase in anhedonia slope increased the odds of membership in the overweight to chronically obese group (odds ratio [OR] [95% confidence interval {CI}] = 1.29 [1.09-1.49], p < .001) and in the normative weight to overweight group (OR [95% CI] = 1.28 [1.04-1.53], p = .006), and decreased the odds of membership in the overweight to normative weight group (OR [95% CI] = .78 [.57-.95], p = .01). CONCLUSIONS Across a 2-year period of high school, the rate of change in anhedonia is associated with certain BMI trajectories linked with poorer metabolic health. Increasing anhedonia may be an important risk factor to consider in adolescent obesity prevention.

Associations between ADHD symptoms and smoking outcome expectancies in a non-clinical sample of daily cigarette smokers.

BACKGROUND AND OBJECTIVES Smoking outcome expectancies for positive reinforcement (PR: beliefs that smoking produces desirable outcomes) and negative reinforcement (NR: beliefs that smoking alleviates negative affect) are modifiable cognitive manifestations of affect-mediated smoking motivation. Based on prior data and theory, we hypothesized that NR and PR expectancies are associated with ADHD symptom levels in a non-clinical sample of cigarette smokers. (Am J Addict 2016; XX:XX -XX) METHODS: Daily cigarette smokers (N = 256) completed self-report measures of ADHD symptoms and smoking outcome expectancies. Cross-sectional associations of overall ADHD symptomatology and the ADHD symptom dimensions of inattention (IN: difficulty concentrating and distractibility) and hyperactivity impulsivity (HI: poor inhibitory control and motor activity restlessness) with PR and NR smoking outcome expectancies were examined. RESULTS Higher levels of overall, IN and HI ADHD symptoms were positively associated with NR smoking expectancies after statistically controlling for anxiety, depression, alcohol/drug use problems, nicotine dependence, and other smoking expectancies. Although neither HI nor IN symptom dimensions exhibited empirically unique relations to NR expectancies over and above one another, the collective variance across IN and HI was associated with NR expectancies. PR expectancies were not associated with ADHD symptoms. DISCUSSION AND CONCLUSIONS Although PR and NR expectancies may be important etiological influences in the overall population of smokers, NR outcome expectancies appear to be disproportionately expressed in smokers with elevated ADHD symptoms. Cognitive manifestations of NR motivation, which may be modifiable via intervention, are prominent in smokers with elevated ADHD symptoms. SCIENTIFIC SIGNIFICANCE Beliefs that smoking alleviates negative affect may underlie ADHD-smoking comorbidity.

Initial Validation of the Pleasure and Health Behavior Inventory - A Measure of Motivation to Engage in Health-damaging Behavior to Overcome Deficient Pleasure.

OBJECTIVES To validate the Pleasure and Health Behavior Inventory (PHBI) - a novel 7-item self-report measure of motivation to engage in addictive, health-damaging behaviors (ie, substance use, gambling, casual sex, overeating) to overcome deficient pleasure. METHODS In a cross-sectional analysis of daily cigarette smokers (N = 206), we examined the PHBIs internal consistency, factor structure, and convergent validity with smoking-related characteristics, alcohol and drug use, BMI and other factors. RESULTS The PHBI had adequate internal consistency and a largely unifactorial structure. The PHBI composite, which amalgamates motivation to engage in several types of unhealthy behaviors for pleasure, positively correlated with unhealthy behaviors. Individual PHBI items were associated with corresponding behavior-specific outcomes. CONCLUSIONS The PHBI may be useful for understanding the psychological underpinnings of health-damaging behavior.