Comparison of Ecological Momentary Assessment Versus Direct Measurement of E-Cigarette Use With a Bluetooth-Enabled E-Cigarette: A Pilot Study

Statistical methods for predicting e-cigarette use events based on beat-to-beat interval (BBI) data collected from wearable devices

The prevalence of e-cigarette use among young adults in the USA is high (14%). Although the majority of users plan to quit vaping, the motivation to make a quit attempt is low and available support during a quit attempt is limited. Using wearable sensors to collect physiological data (eg, heart rate) holds promise for capturing the right timing to deliver intervention messages. This study aims to fill the current knowledge gap by proposing statistical methods to (1) de-noise beat-to-beat interval (BBI) data from smartwatches worn by 12 young adult regular e-cigarette users for 7 days; and (2) summarize the de-noised data by event and control segments. We also conducted a comprehensive review of conventional methods for summarizing heart rate variability (HRV) and compared their performance with the proposed method. The results show that the proposed singular spectrum analysis (SSA) can effectively de-noise the highly variable BBI data, as well as quantify the proportion of total variation extracted. Compared to existing HRV methods, the proposed second order polynomial model yields the highest area under the curve (AUC) value of 0.76 and offers better interpretability. The findings also indicate that the average heart rate before vaping is higher and there is an increasing trend in the heart rate before the vaping event. Importantly, the development of increasing heart rate observed in this study implies that there may be time to intervene as this physiological signal emerges. This finding, if replicated in a larger scale study, may inform optimal timings for delivering messages in future intervention.

Retrospective and Real-time Measures of the Quantity of E-cigarette Use: An Ecological Momentary Assessment Study

INTRODUCTION

Quantifying e-cigarette use is challenging because of the wide variety of products and the lack of a clear, objective demarcation of a use event. This study aimed to characterize the difference between retrospective and real-time measures of the quantity of e-cigarette use and identify the covariates that may account for discrepancies between the two types of measures.

METHODS

This study analyzed data from 401 college student e-cigarette users in Indiana and Texas who responded to a web survey (retrospective) and 7-day ecological momentary assessments (EMA) (real-time) on their e-cigarette use behavior, dependence symptomatology, e-cigarette product characteristics, and use contexts from Fall 2019 to Fall 2021. Generalized linear mixed models were used to model the real-time measures of quantity offset by the retrospective average quantity.

RESULTS

Although the number of times using e-cigarettes per day seems to be applicable to both retrospective and real-time measures, the number reported via EMA was 8.5 times the retrospective report. E-cigarette users with higher e-cigarette primary dependence motives tended to report more daily nicotine consumption via EMA than their retrospective reports (ie, perceived average consumption). Other covariates that were associated with discrepancies between real-time and retrospective reports included gender, nicotine concentration, using a menthol- or fruit-flavored product, co-use with alcohol, and being with others when vaping.

CONCLUSIONS

The study found extreme under-reporting of e-cigarette consumption on retrospective surveys. Important covariates identified to be associated with higher than average consumption may be considered as potential targets for future vaping interventions.

IMPLICATIONS

This is the first study that characterizes the direction and magnitude of the difference between retrospective and real-time measures of the quantity of e-cigarette use among young adults-the population most likely to use e-cigarettes. An average retrospective account of vaping events per day may significantly underestimate e-cigarette use frequency among young adults. The lack of insight into the degree of consumption among users with heavy primary dependence motives illustrates the importance of incorporating self-monitoring into cessation interventions.

Multiple Tobacco Product Use Conceptual Framework: A 2021 Update on Evidence

INTRODUCTION

One-third of adults in the United States who use tobacco regularly use two or more types of tobacco products. As the use of e-cigarettes and other noncombusted tobacco products increases-making multiple tobacco product (MTP) use increasingly common-it is essential to evaluate the complex factors that affect product use.

AIMS AND METHODS

In this update to our 2019 conceptual framework, we review and evaluate recent literature and expand the model to include ways in which MTP use may be affected by market factors such as the introduction of new products and socioenvironmental factors like marketing and advertising.

RESULTS AND CONCLUSIONS

MTP use patterns are complex, dynamic, and multiply determined by factors at the level of individuals, products, situations or contexts, and marketplace. Substitution, or using one product with the intent of decreasing use of another, and complementarity, or using multiple products for different reasons or purposes, explain patterns in MTP use. Moreover, substitution and complementarity may inform our understanding of how market changes targeted at one product, for instance, new product standards, bans, product pricing, and taxation, affect consumption of other tobacco products. New data from natural experiments and novel laboratory-based techniques add additional data and expand the framework.

IMPLICATIONS

A substantial proportion of people who use tobacco use more than one product. This review synthesizes and evaluates recent evidence on the diverse factors that affect MTP use in addition to expanding our framework. Our review is accompanied by suggested research questions that can guide future study.

Validation of a High Flow Rate Puff Topography System Designed for Measurement of Sub-Ohm, Third Generation Electronic Nicotine Delivery Systems

There are few known puff topography devices designed solely for gathering electronic cigarette puff topography information, and none made for high-powered sub-ohm devices. Ten replicate Bernoulli flow cells were designed and 3D printed. The relationship between square root of pressure difference and flow rate was determined across 0−70 L/min. One representative flow cell was used to estimate puff volume and flow rate under six simulated puffing regimes (0.710 L, 2.000 L and 3.000 L, at low and high flow rates) to determine the system’s accuracy and utility of using dual pressure sensors for flow measurement. The relationship between flow rate and square root of pressure differential for the ten replicate cells was best fit with a quadratic model (R2 = 0.9991, p < 0.0001). The higher-pressure sensor was accurate at both low and high flow rates for 0.71 L (102% and 111% respectively), 2.00 L (96% and 103% respectively), and 3.00 L (100.1% and 107% respectively) but the lower-pressure sensor provided no utility, underpredicting volume and flow. This puff topography system generates very little resistance to flow, easily fits between user’s atomizer and mouthpiece, and is calibrated to measure flows up to 70 L/min.

Ecological Momentary Assessment: A Systematic Review of Validity Research

Ecological momentary assessment (EMA) is a self-report method that involves intensive longitudinal assessment of behavior and environmental conditions during everyday activities. EMA has been used extensively in health and clinical psychology to investigate a variety of health behaviors, including substance use, eating, medication adherence, sleep, and physical activity. However, it has not been widely implemented in behavior analytic research. This is likely an example of the empirically based skepticism with which behavioral scientists view self-report measures. We reviewed studies comparing electronic, mobile EMA (mEMA) to more objective measures of health behavior to explore the validity of mEMA as a measurement tool, and to identify procedures and factors that may promote the accuracy of mEMA. We identified 32 studies that compared mEMA to more objective measures of health behavior or environmental events (e.g., biochemical measures or automated devices such as accelerometers). Results showed that the correspondence rates varied considerably across individuals, behavior, and studies (agreement rates ranged from 1.8%-100%), and no unifying variables could be identified across the studies that found high correspondence. The findings suggest that mEMA can be an accurate measurement tool, but further research should be conducted to identify procedures and variables that promote accurate responding.

Understanding contexts of smoking and vaping among dual users: analysis of ecological momentary assessment data

AIMS

To understand dual users' cigarette and e-cigarette use patterns, including the contexts in which they vape versus smoke and to understand how environmental and internal contexts and smoking patterns differ between dual users and exclusive smokers.

DESIGN

Longitudinal observational trial.

SETTING

Research center in Wisconsin, USA.

PARTICIPANTS

Adult dual users (n = 162) and adults who exclusively smoked (n = 143), with no plans to quit smoking or vaping in the next 30 days.

MEASUREMENTS

Participants carried smartphones for 2 weeks at baseline to record each use event for the two products and report on the context of their product use. The percentage of mornings where participants vaped first versus smoked were used to compute e-cigarette dependence.

FINDINGS

Hierarchical linear regression models with random slopes and intercepts examined the within- and between-subject effects of context on the likelihood of vaping (versus smoking); significant fixed effects were tested for moderation by e-cigarette dependence. Dual users reported significantly more puffs/cigarette [mean = 13.1, standard deviation (SD) = 10.2] than puffs/vape event (mean = 11.7, SD = 11.5; P = 0.01). E-cigarette dependence moderated the influence of social cues (t-ratio = 2.4, P = 0.02) and smoking restrictions (t-ratio = 3.1, P = 0.003) on the likelihood of vaping versus smoking [odds ratio (OR) = 2.30, P = 0.02]. Context was more related to which product was used in those of low versus higher e-cigarette dependence. Reports of strong cravings to smoke and positive expectancies for cigarettes were associated with a reduced likelihood of vaping, whereas strong cravings to vape and positive vaping expectancies were related to increased likelihood of vaping.

CONCLUSIONS

Among dual users of cigarettes and e-cigarettes with no motivation to quit, vaping appears to be related to internal cues and more highly linked with social contexts and smoking restrictions (i.e. under stronger external stimulus control) among those with low to moderate e-cigarette dependence compared with high e-cigarette dependence. These findings illustrate the importance of contextual factors in tobacco product use among dual users with the influence of context being reduced at high levels of e-cigarette dependence.

Assessing Young Adults' ENDS Use via Ecological Momentary Assessment and a Smart Bluetooth Enabled ENDS Device

INTRODUCTION

The assessment of electronic nicotine delivery systems (ENDS) use poses unique challenges that go beyond established assessment methods for tobacco cigarettes. Recent studies have proposed using ecological momentary assessment (EMA), a method to collect self-reported data on mobile devices, or data passively collected by "smart" Bluetooth enabled ENDS to assess use. The current study sought to compare ENDS use data using EMA and puff counts collected from a smart device.

AIMS AND METHODS

We recruited 18 young adult ENDS users (age M = 23.33; 44.4% female) from the San Francisco Bay Area. For a total of 30 days, participants completed daily diaries by EMA and used a second-generation smart Bluetooth enabled ENDS that collected puff data. Repeated measures correlations, multilevel regressions, and paired t tests assessed concordance of EMA reports and ENDS data. A subset of four highly compliant participants were selected for sensitivity analyses.

RESULTS

Among all 18 participants, completion of EMA daily diaries was high (77.4%). The ENDS device collected approximately twice as many puffs per day as participants reported. Compared with self-reported number of sessions and amount of e-liquid used, self-reported puff counts had the highest correlation with device-collected puff counts (rrm = 0.49; p < .001). Correlations between self-reported and device-collected puff counts improved among the subset of four highly compliant participants (rrm = 0.59; p < .001).

CONCLUSIONS

Self-reports potentially underestimate use of ENDS. Puff counts appear to be the best self-reported measure to assess ENDS use compared with number of sessions or liquid volume.

IMPLICATIONS

The comparison of EMA self-reports and passively collected ENDS device data can inform future efforts to assess ENDS use. Self-reported puff counts are preferable over number of sessions or amount of liquid used, but compared with objective usage data, self-reported puff counts may still underestimate actual use. ENDS use behavior is likely higher than users estimate and report. Future research on improved measures of ENDS use is needed.

Critical challenges and creative solutions for quantifying nicotine vaping: qualitative reports from young adults

BACKGROUND

Previous studies suggest that young adults who vape nicotine experience difficulty when answering survey items assessing quantity of vaping. The current study asked young adults who vape to provide suggestions for improving the scientific measurement of vaping.

METHODS

We conducted semi-structured qualitative interviews with 62 young adults who vape in Los Angeles, California between June 2018 and June 2019. We analyzed participants' responses to the following question: "What do you think is the best way for us to understand how much people vape?" using thematic content analysis.

RESULTS

We identified two major themes: (1) challenges stemming from differences between the way researchers query about vaping and how individuals self-monitor vaping frequency, and (2) insights for future measurement of vaping. Participants reported that challenges of accurately quantifying vaping were due to inherently hard-to-answer questions (e.g., puffs per day), lack of awareness of or not actively monitoring consumption of vaping products, or because vaping behaviors vary considerably between and within individuals over time, making "on-average" questions challenging. Participants discussed ideas for improving survey measures that could accurately assess vaping quantity, including querying about type of device used, and frequency of replenishment of nicotine solutions.

CONCLUSION

Existing vaping behavior survey measures may not accurately capture quantity of vaping as they differ from how (or if) participants track their own vaping consumption patterns. While continued research is needed to optimally refine survey measures on vaping consumption, future measures may better align with vapers' self-monitoring by including questions on device-type and replenishment frequency.

Intensive Longitudinal Study of the Relationship Between Cigalike E-cigarette Use and Cigarette Smoking Among Adult Cigarette Smokers Without Immediate Plans to Quit Smoking

INTRODUCTION

This study examined the association between the introduction of an e-cigarette and subsequent change in cigarette smoking among smokers who were not immediately interested in quitting.

AIMS AND METHODS

The Moment Study was a 21-day intensive longitudinal study with an online follow-up survey at 30 days. After observing baseline cigarette smoking for 1 week, participants received 10 cigalike e-cigarettes on study days 6 and 13. Participants reported cigarettes per day, e-cigarette puffs per day, and e-cigarette satisfaction using text-message-based surveys.

RESULTS

The sample of 96 daily smokers was majority female (53.1%), African American (67.7%), and non-Hispanic (95.8%). When e-cigarettes were provided (day 6), average cigarettes per day dropped by 1.82 cigarettes (p < .0001). The within-person e-cigarette puff effect on daily cigarette smoking was significantly negative (β = -0.023; p = .005); a participant who consumed 100 more e-cigarette puffs in a day than usual for that person was expected to smoke 2.3 fewer cigarettes that day, but this was only true for non-menthol smokers (p = .006). Smokers older than 45 and those who started smoking at a younger age rated e-cigarettes as less satisfying (ps < .05). Participants with greater than the median reported satisfaction were 6.5 times more likely to use an e-cigarette at follow-up.

CONCLUSIONS

Giving e-cigarettes to smokers who did not intend to quit reduced their cigarette smoking on days when they used e-cigarette more frequently, but this relationship did not hold for menthol smokers. Satisfaction with e-cigarette use was predictive of continued use 30 days later.

IMPLICATIONS

A greater amount of cigalike e-cigarette use resulted in less smoking among adult daily smokers without immediate plans to quit, but a lack of nicotine delivery and satisfaction for these devices may have limited their utility as a replacement for cigarette smoking, especially among menthol smokers. The global concept of "satisfaction" may be an important driver of e-cigarette use among adult smokers.

Sociodemographic and Clinical Characteristics of Vapers Using E-Cigarettes Exclusively: The French Vapoquid Study

Electronic cigarettes are increasingly being used as smoking cessation aids. Most studies assess the dual use of e-cigarettes and traditional cigarettes, but there remains a paucity of literature concerning individuals who use e-cigarettes exclusively. Objective: The aim of this study is to examine the sociodemographic and clinical characteristics of exclusive e-cigarette users, and consider their willingness to quit e-cigarette use. Methods: A French online survey was conducted from March to December 2017. We assessed the following factors: sociodemographic factors; the clinical characteristics of e-cigarette use and its social acceptability; and the self-perceived effectiveness of nicotine replacement therapy (NRT). Associations between the listed factors and a willingness to quit e-cigarette use were examined. Results: A total of 386 exclusive e-cigarette users (70% men) participated in the study and were included in the analysis. Most respondents were not planning to quit e-cigarette use (75%). Compared to those who did not want to quit, a desire to quit was associated with using smoking cessation services (OR [95%CI]: 3.45 [1.82-6.56]), e-cigarette craving (OR [95%CI]: 2.63 [1.44-4.80]) and NRT past-use (1.78 [1.12-2.87]). Users who planned to quit expressed more concerns about smoking initiation among youths using e-cigarettes (OR [95%CI]: 3.62 [1.90-6.93]). In multivariate analysis, these associations remained significant for the use of smoking cessation services, e-cigarette cravings, and concerns about youth tobacco initiation. Conclusion: Most exclusive e-cigarette users were not likely to quit. Planned cessation was associated with using smoking cessation services, experiencing e-cigarette dependence symptoms, and being concerned about smoking initiation among teenager e-cigarette users.

An Exploration of Smoking-to-Vaping Transition Attempts Using a "Smart" Electronic Nicotine Delivery System

INTRODUCTION

Electronic nicotine delivery systems (ENDS) are used to aid smoking cessation attempts; however, many smokers continue to smoke while using an ENDS (dual use). Although uncertainty remains regarding whether specific ENDS patterns hinder or support successful smoking cessation, recent advances in "smart" technology allow passive and active recording of behaviors in real time, enabling more detailed insights into how smoking and vaping patterns may coevolve. We describe patterns of ENDS initiation, and subsequent use, including any changes in cigarette consumption, among daily smokers using a "smart" ENDS (S-ENDS) to quit smoking.

METHOD

An 8-week long mixed-methods feasibility study used Bluetooth-enabled S-ENDS that passively recorded real-time device use by participants (n = 11). Daily surveys administered via smartphones collected data on self-reported cigarette consumption.

RESULTS

All 11 participants were dual users, at least initially, during their quit attempt. We observed three provisional vaping and smoking patterns: immediate and intensive ENDS initiation coupled with immediate, dramatic, and sustained smoking reduction, leading to smoking abstinence; gradual ENDS uptake with gradual smoking reductions, leading to daily dual use throughout the study period; and ENDS experimentation with return to exclusive smoking. For six participants, the patterns observed in week 1 were similar to the vaping and smoking patterns observed throughout the rest of the study period.

CONCLUSION

Technological advances now allow fine-grained description of ENDS use and smoking patterns. Larger and longer studies describing smoking-to-vaping patterns, and estimating associations with smoking outcomes, could inform ENDS-specific cessation advice promoting full transition from smoking to exclusive ENDS use.

IMPLICATIONS

The use of an S-ENDS that recorded real-time device use among daily smokers engaged in a quit attempt provides insight into patterns and trajectories of dual use (continuing to smoke while using ENDS), and the possible associations between ENDS initiation, subsequent use, and smoking cessation outcomes. Such work could support more targeted cessation counseling and technical advice for smokers using ENDS to quit smoking, reduce the risk of users developing long-term dual use patterns, and enhance the contributions ENDS may make to reducing smoking prevalence.

Measurement of Electronic Cigarette Frequency of Use Among Smokers Participating in a Randomized Controlled Trial

BACKGROUND

The United States Food and Drug Administration has prioritized understanding the dependence potential of electronic cigarettes (e-cigs). Dependence is often estimated in part by examining frequency of use; however measures of e-cig use are not well developed because of varying product types. This study used an e-cig automatic puff counter to evaluate the value of self-reported e-cig use measures in predicting actual use (puffs).

METHODS

Data were collected from a two-site randomized placebo-controlled trial evaluating the effects of e-cigs on toxicant exposure in smokers attempting to reduce their cigarette consumption. Participants randomized to an e-cig condition self-reported their e-cig frequency of use (times per day-one "time" consists of around 15 puffs or lasts around 10 minutes) on the Penn State Electronic Cigarette Dependence Index (PSECDI) and kept daily diary records of the number of puffs per day from the e-cig automatic puff counter. A linear mixed-effects model was used to determine the predictive value of the times per day measure. Correlations were used to further investigate the relationship.

RESULTS

A total of 259 participants with 1165 observations of e-cig use were analyzed. Self-reported e-cig use in times per day was a significant predictor of e-cig puffs per day (p < .01). The Spearman correlation between measures was r equal to .58. Examination of individual participant responses revealed some potential difficulties reporting and interpreting times per day because of the difference in use patterns between cigarettes and e-cigs.

CONCLUSION

This study provides evidence that the self-reported PSECDI measure of times per day is a significant predictor of actual frequency of e-cig puffs taken.

IMPLICATIONS

Self-reported measures of e-cig frequency of use are predictive of actual use, but quantifying e-cig use in patterns similar to cigarettes is problematic.

Depression as a moderator of the prospective relationship between mood and smoking

OBJECTIVE

Affective features of depression are uniquely involved in the depression-smoking relationship, and it follows that smokers with depression are likely to use cigarettes to alleviate negative affect. However, most ecological momentary assessment (EMA) studies demonstrate no relationship between mood and smoking, in general. Conversely, a small number of experimental studies suggest there is an association between mood and smoking and that the relationship is dependent on levels of depression. Researchers have yet to examine the impact of depression on the relationship between mood and smoking using EMA methodology. Accordingly, the aim of this study was to explore the relationship between depression, mood, and ad lib smoking among adults in "real time."

METHOD

Participants included 96 adult daily smokers (53% female, 67% non-Hispanic Black; age, M = 40.76, SD = 12.42) who completed baseline ratings of depressive symptoms and 7 consecutive days of in vivo data collection focused on cigarette smoking and associated mood and craving ratings.

RESULTS

Results indicated that depression moderates the prospective relationship between mood and smoking (even when controlling for craving), such that participants with higher levels of depressive symptoms smoke more cigarettes in response to an improvement in mood (relative to their average mood), whereas participants with lower levels of depressive symptoms smoke more in response to worsening mood states (relative to their average mood).

CONCLUSIONS

Attempting to maintain better mood may be a motivating factor for smoking among depressed individuals. These findings may be helpful in tailoring smoking cessation treatment programs for people exhibiting depressive symptoms. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Technology-based contingency management and e-cigarettes during the initial weeks of a smoking quit attempt

Contingency management (CM) interventions are among the most effective behavioral interventions for smoking. This study assessed the effects of CM and electronic cigarettes (ECs) on smoking reductions and abstinence for durations of 30-36 days. Twelve participants were exposed to Baseline, EC alone, and EC + CM conditions. An internet-based platform was used to monitor smoking via breath carbon monoxide (CO) and deliver CM for smoking abstinence (CO ≤4 ppm). A Bluetooth-enabled EC monitored daily EC puffs. Abstinence rates were equivalent between EC (34.4%) and EC + CM (30.4%) conditions. Both conditions promoted smoking reductions. We observed an inverse correlation between smoking and EC puffs (r = -.62, p < .05). Results suggest the use of electronic cigarettes can promote smoking reductions and abstinence, and CM did not improve these outcomes. Larger magnitude consequences or tailoring EC characteristics (e.g., flavor) may have improved outcomes. Technology-based methods to collect intensive, longitudinal measures of smoking and electronic cigarette use may be useful to characterize their environmental determinants.

Limited utility of detailed e-cigarette use measures: An analysis of NESARC-III

INTRODUCTION

The heterogeneity of e-cigarette products and e-liquids pose challenges to surveillance of e-cigarette exposure. The goal of this study was to evaluate the internal consistency of e-cigarette use frequency, quantity, and duration measures in a national population-based survey.

METHODS

Data were drawn from the 2012-2013 for the National Epidemiologic Survey on Alcohol and Related Conditions-III (n = 36,309; NESARC-III). Adults who used e-cigarettes/e-liquid during the past year (≤18 years old; n = 1,229) were asked about their age of first use, recency of use, quantity (i.e., cartridges, drops), nicotine concentration, and duration (hours). Several internal consistency parameters were compared for e-cigarette measures in past-year (n = 750) and past 30-day e-cigarette users (n = 472) overall, and by frequency of use (i.e., infrequent [≤3 days/month], non-daily [1-6 days/week], daily).

RESULTS

There were no significant differences in quantity, nicotine concentration, or duration by frequency of use in past 30-day e-cigarette users. One-third of past 30-day and almost half of past-year users did not know the nicotine concentration of their cartridge or e-liquid. Correlations between all e-cigarette use measures were low, with the highest correlations seen between e-liquid quantity and cartridge quantity in all past 30-day users (r = 0.28) and those reporting any e-liquid use (r = 0.40). Cronbach's alpha and mean interitem correlations were low across all user groups.

CONCLUSIONS

Low to moderate correlation across e-cigarette measures in e-cigarette users implies low internal consistency of these measures in a population survey. Findings suggest measures such as quantity and nicotine concentration might more appropriate in samples of recent experienced e-cigarette users than in general population samples.

"Electronic Cigarettes" Are Not Cigarettes, and Why That Matters

As the prevalence rates of cigarette use have declined over the past decade, use of electronic cigarettes (e-cigarettes) continues to increase, and companies are heavily invested in manufacturing new e-cigarette products. Scientists are therefore studying e-cigarette use at a rapid rate, generally by conceptualizing e-cigarettes as similar to traditional cigarettes in their use and effects. Thinking of e-cigarettes as largely comparable with cigarettes, however, fails to capture the unique e-cigarette capabilities, user experiences, and effects on nicotine dependence and even health. Assuming that e-cigarette users puff on their devices as they do cigarettes to attain doses of nicotine comparable in magnitude and asking questions about e-cigarette use modeled after how smoking behavior has been usually assessed (eg, puff number, duration, number of cigarettes per day) may miss important differences. A greater appreciation of the distinct uniqueness of e-cigarettes, as compared with cigarettes, will help to accelerate innovative research on e-cigarettes and other electronic devices, leading to new theoretical models and behavioral measures.

IMPLICATIONS

With research about electronic cigarettes (e-cigarettes) rapidly increasing, this commentary addresses the conceptualization of e-cigarettes as similar to traditional cigarettes. The more we attempt to understand and measure e-cigarettes as equivalent to cigarettes, the more likely research may err in conclusions about these unique devices. Our commentary notes how using unique conceptualizations and measures for e-cigarettes will help accelerate new research.

Biomarkers of Exposure Among "Dual Users" of Tobacco Cigarettes and Electronic Cigarettes in Canada

INTRODUCTION

"Dual use" refers to the concurrent use of tobacco cigarettes (smoking) and electronic cigarettes (e-cigarettes; vaping). Although dual use is common among e-cigarette users, there is little evidence regarding biomarkers of exposure among dual users and how these change under different conditions of product use.

METHODS

A nonblinded within-subjects crossover experiment was conducted with adult daily dual users (n = 48) in Ontario, Canada. Participants completed three consecutive 7-day periods in which the use of tobacco cigarettes and e-cigarettes was experimentally manipulated, resulting in four study conditions: Dual use, Tobacco cigarette use, E-cigarette use, and No product use. Repeated measures models were used to examine changes in product use and biomarkers of exposure.

RESULTS

Compared to dual use, cotinine remained stable when participants exclusively smoked (p = .524), but significantly decreased when they exclusively vaped (p = .027), despite significant increases in e-cigarette consumption (p = .001). Levels of biomarkers of exposure to toxicants, including carbon monoxide (CO), 1-hydroxypyrene (1-HOP), and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), were significantly lower when participants exclusively vaped than when they engaged in dual use (CO = -41%, p < .001; 1-HOP = -31%, p = .025; NNAL = -30%, p = .017). Similar findings were observed among participants abstaining from both products as compared to dual use (CO: -26%, p < .001; 1-HOP = -14% [ns]; NNAL = -35%, p = .016). In contrast, levels of biomarkers of exposure increased when participants exclusively smoked as compared to dual use (CO = +21%, p = .029; 1-HOP = +23%, p = .048; NNAL = +8% [ns]).

CONCLUSIONS

Although dual use may reduce exposure to tobacco smoke constituents to some extent, abstaining from smoking is the most effective way to reduce such exposure.

IMPLICATIONS

Public health authorities should clearly communicate the relative risk of e-cigarettes and tobacco cigarettes to the general public, focusing on two salient points: (1) e-cigarettes are not harmless, but they are less harmful than tobacco cigarettes; and (2) using e-cigarettes while smoking may not necessarily reduce health risks; therefore, consumers should stop smoking completely to maximize potential health benefits.

Characterizing ENDS use in young adults with ecological momentary assessment: Results from a pilot study

INTRODUCTION

Ecological Momentary Assessment (EMA) allows for assessment of electronic nicotine delivery systems (ENDS) use in real-time. This EMA study aimed to 1) describe study participation rates; 2) evaluate the concordance of EMA and survey items measuring frequency and quantity of ENDS use; and 3) assess the relationships between EMA items measuring frequency and quantity of ENDS use with ENDS dependence, measured at baseline and with saliva cotinine collected at follow-up.

METHODS

Fifty young adult ENDS users completed baseline surveys, EMAs (i.e., random, event-based, daily diaries), and follow-up questionnaires over a 14-day period. Spearman correlations were conducted to determine concordance of survey items. Linear regression models assessed the relationships between EMA ENDS use characteristics (e.g., puffs, number of days used, quantity of e-liquid) with dependence items at baseline and saliva cotinine at follow-up.

RESULTS

Overall completion for the prompted EMAs (random and daily diaries) was 68%. Correlations between EMA measures assessing ENDS use ranged from weak (ρ = -0.02; NS) to strong (ρ = 0.69, p < .001); EMA to follow-up items ranged from weak (ρ = 0.16; p < .05) to moderate (ρ = 0.54; p < .001). Significant associations were found between ENDS use measured via random and daily diary EMAs and saliva cotinine at follow-up after controlling for cigarette smoking (B = 0.70-1.76; p < .01), but not for event-based EMAs. Items measuring frequency/quantity of use from random EMAs were consistently associated with ENDS dependence at baseline (B = 0.74-1.58; p < .01).

CONCLUSION

EMA represents a promising methodology to capture real-time ENDS use behaviors, primarily through daily diary and random EMAs.

Potential predictors of adoption of the Tobacco Heating System by U.S. adult smokers: An actual use study

Background: This was a pre-market, observational, actual use study with the Tobacco Heating System (THS), a candidate modified risk tobacco product. The main goal of the study was to describe THS adoption within current adult daily smokers by replicating the usage of THS in real-world conditions with participants being able to consume cigarettes, THS, and any other nicotine-containing products (e.g., e-cigarettes, cigars, etc.) ad libitum. Methods: This study assessed self-reported stick-by-stick consumption of THS compared with the use of commercial cigarettes over six weeks. The aim of the analysis was to identify potential predictors for adoption of THS using stepwise logistic regression analysis. Results: By the end of the observational period (in Week 6), 14.6% of participants (n=965) had adopted THS meaning that THS formed 70% or more of their total tobacco consumption. The main predictors of adoption were the liking of the smell, taste, aftertaste, and ease of use of THS. The proportion of adoption was higher in participants aged 44 years and older and in Hispanic or Latino adult smokers. Additionally, adoption of THS was more likely in participants who had never attempted to quit smoking and in participants who smoked up to 10 cigarettes per day. Finally, the adoption of THS was higher in participants who consumed both regular and menthol THS compared with those who consumed only one THS variant. Conclusions: The findings suggest that the introduction of THS in the U.S. has the potential to result in adoption by current adult smokers who would otherwise continue to smoke cigarettes, and that the adoption of THS is unlikely to result in an increase of tobacco consumption. Post-marketing studies will provide further insights on THS adoption and THS use patterns to allow assessment of the impact of the THS at the individual and the overall population level.

Potential predictors of adoption of the Tobacco Heating System by U.S. adult smokers: An actual use study

Background: This was a pre-market actual use study with the Tobacco Heating System (THS), a candidate modified risk tobacco product, conducted with adult smokers in eight cities in the United States. The main goal of the study was to describe THS adoption in a real-world setting. The aim of this analysis was to identify potential predictors for adoption of THS using stepwise logistic regression method. Methods: This actual use study was an observational study assessing self-reported stick-by-stick consumption of the THS product compared with the use of commercial cigarettes over six weeks. The study aimed at replicating the usage of THS in real-world conditions with participants being able to consume cigarettes, THS, and any other nicotine-containing products (e.g., e-cigarettes, cigars, etc.) ad libitum. Results: 14.6% of participants adopted THS, which comprised 70% or more of their total tobacco consumption by the end of the observational period (in Week 6). The main predictors of adoption were the liking of the smell, taste, aftertaste, and ease of use of THS. The proportion of adoption was higher in participants aged 44 years and older and in Hispanic or Latino adult smokers. Additionally, adoption of THS was more likely in participants who had never attempted to quit smoking and in participants who smoked up to 10 cigarettes per day. Finally, the adoption of THS was higher in participants who consumed both regular and menthol THS compared with those who consumed only one THS variant. Conclusions: The main predictors of THS adoption were positive sensory assessment and the ease of use. Socio-demographic characteristics and smoking habits appeared much less important. Post-marketing studies will provide further insights on the impact of the THS at the individual and the overall population level.

Methods to reduce the incidence of false negative trial results in substance use treatment research

Treatment development and evaluation for substance use disorders are hindered when randomized controlled trials fail to show a treatment effect when one exists. This manuscript provides an overview of addressable methodological factors that may contribute to incorrect trial results. The collection of remote, naturalistic, real-time adherence and substance use data through ambulatory assessment methods in everyday life is presented as a partial solution. Other recommendations related to participant recruitment and selection, ensuring adequate consistency/fidelity and dose of treatment, and rigorously assessing clinical outcomes are discussed. With implementation of eligibility criteria verification, treatment adherence monitoring, and remote assessment of substance use and biomarkers, ambulatory assessment may help improve clinical trial success rates by improving precision, increasing reproducibility, and reducing the impact of methodological issues that may lead to inaccurate trial results.

Mentoring the next generation of behavioral health scientists to promote health equity

Health inequities and disparities among various racial/ethnic minority, sexual minority, and rural populations are the focus of increasing national efforts. Three health problems disproportionately affecting these populations-HIV/AIDS, substance abuse, and trauma-deserve particular attention because of their harmful effects on health across the life span. To address these problems, our training program, the UCLA HIV/AIDS, Substance Abuse, and Trauma Training Program (HA-STTP), mentors and trains early career behavioral health scientists to conduct research using scientifically sound, culturally collaborative, and population-centered approaches. HA-STTP has been highly successful in training a diverse, productive, nationwide group of scholars. The program provides 2 years of training and mentorship to 20 (5 per year over 4 years) scholars. It is unique in its attention to traumatic stress as a form of dysregulation, particularly as experienced by underserved populations. Furthermore, our training program embraces a uniquely comprehensive, culturally grounded understanding of traumatic stress and its implications for substance abuse and HIV. HA-STTP advances scholars' knowledge of the interconnections among substance abuse, HIV/AIDS, traumatic stress, and health disparities, particularly in underrepresented populations; provides intensive mentorship to support scholars' research interests and career trajectories; capitalizes on a multidisciplinary, multiracial/ethnic network of expert faculty; and evaluates the program's impact on scholars' knowledge and productivity. By fostering the growth of scholars committed to conducting research with underrepresented populations that are disproportionately affected by HIV/AIDS, substance abuse, and traumatic stress, this program enhances nationwide efforts to diminish the prevalence of these problems and improve health and quality of life. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Combining ecological momentary assessment with objective, ambulatory measures of behavior and physiology in substance-use research

Whereas substance-use researchers have long combined self-report with objective measures of behavior and physiology inside the laboratory, developments in mobile/wearable electronic technology are increasingly allowing for the collection of both subjective and objective information in participants' daily lives. For self-report, ecological momentary assessment (EMA), as implemented on contemporary smartphones or personal digital assistants, can provide researchers with near-real-time information on participants' behavior and mood in their natural environments. Data from portable/wearable electronic sensors measuring participants' internal and external environments can be combined with EMA (e.g., by timestamps recorded on questionnaires) to provide objective information useful in determining the momentary context of behavior and mood and/or validating participants' self-reports. Here, we review three objective ambulatory monitoring techniques that have been combined with EMA, with a focus on detecting drug use and/or measuring the behavioral or physiological correlates of mental events (i.e., emotions, cognitions): (1) collection and processing of biological samples in the field to measure drug use or participants' physiological activity (e.g., hypothalamic-pituitary-adrenal axis activity); (2) global positioning system (GPS) location information to link environmental characteristics (disorder/disadvantage, retail drug outlets) to drug use and affect; (3) ambulatory electronic physiological monitoring (e.g., electrocardiography) to detect drug use and mental events, as advances in machine learning algorithms make it possible to distinguish target changes from confounds (e.g., physical activity). Finally, we consider several other mobile/wearable technologies that hold promise to be combined with EMA, as well as potential challenges faced by researchers working with multiple mobile/wearable technologies simultaneously in the field.

Feasibility of a Mobile Phone App to Support Recovery From Addiction in China: Secondary Analysis of a Pilot Study

Background

Mobile health technologies have been found to improve the self-management of chronic diseases. However, there is limited research regarding their feasibility in supporting recovery from substance use disorders (SUDs) in China.

Objective

The objective of this study was to examine the feasibility of a mobile phone-based ecological momentary assessment (EMA) app by testing the concordance of drug use assessed by the EMA, urine testing, and a life experience timeline (LET) assessment.

Methods

A total of 75 participants dependent on heroin or amphetamine-type stimulant (ATS) in Shanghai were recruited to participate in a 4-week pilot study. Of the participants, 50 (67% [50/75]) were randomly assigned to the experimental group and 25 (33% [25/75]) were assigned to the control group. The experimental group used mobile health (mHealth) based EMA technology to assess their daily drug use in natural environments and received 2 short health messages each day, whereas the control group only received 2 short health messages each day from the app. Urine tests and LET assessments were conducted each week and a post-intervention survey was administered to both groups. The correlations among the EMA, the LET assessment, and the urine test were investigated.

Results

The mean age of the participants was 41.6 (SD 8.0) years, and 71% (53/75) were male. During the 4 weeks of observation, 690 daily EMA survey data were recorded, with a response rate of 49.29% (690/1400). With respect to drug use, the percent of agreement between the EMA and the LET was 66.7%, 79.2%, 72.4%, and 85.8%, respectively, for each of the 4 weeks, whereas the percent of agreement between the EMA and the urine test was 51.2%, 65.1%, 61.9%, and 71.5%, respectively. The post-intervention survey indicated that 46% (32/70) of the participants preferred face-to-face interviews rather than the mHealth app.

Conclusions

This study demonstrated poor agreement between the EMA data and the LET and found that the acceptance of mHealth among individuals with SUDs in China was not positive. Hence, greater efforts are needed to improve the feasibility of mHealth in China.