Immediate antecedents of cigarette smoking: an analysis from ecological momentary assessment

Examining Links Between Distinct Affective States and Tobacco Lapse During a Cessation Attempt Among African Americans: A Cohort Study

BACKGROUND

Affect states are posited to play a pivotal role in addiction-related processes, including tobacco lapse (i.e., smoking during a quit attempt), and distinct affective states (e.g., joy vs. happiness) may differentially influence lapse likelihood. However, few studies have examined the influence of distinct affective states on tobacco lapse.

PURPOSE

This study examines the influence of 23 distinct affect states on tobacco lapse among a sample of tobacco users attempting to quit.

METHODS

Participants were 220 adults who identified as African American (50% female, ages 18-74). Ecological momentary assessment was used to assess affect and lapse in real-time. Between and within-person associations testing links between distinct affect states and lapse were examined with multilevel modeling for binary outcomes.

RESULTS

After adjusting for previous time's lapse and for all other positive or negative affect items, results suggested that at the between-person level, joy was associated with lower odds of lapse, and at the within-person level, attentiveness was associated with lower odds of lapse. Results also suggested that at the between-person level, guilt and nervous were associated with higher odds of lapse, and at the within-person level, shame was associated with higher odds of lapse.

CONCLUSIONS

The present study uses real-time, real-world data to demonstrate the role of distinct positive and negative affects on momentary tobacco lapse. This work helps elucidate specific affective experiences that facilitate or hinder the ability to abstain from tobacco use during a quit attempt.

Combining Inserts With Warning Labels on Cigarette Packs to Promote Smoking Cessation: A 2-Week Randomized Trial

BACKGROUND

Cigarette pack inserts with messages on cessation benefits and advice are a promising labeling policy that may help promote smoking cessation.

PURPOSE

To assess insert effects, with and without accompanying pictorial health warning labels(HWLs), on hypothesized psychosocial and behavioral outcomes.

METHODS

We conducted a 2 × 2 between-subject randomized trial (inserts with efficacy messages vs. no inserts; large pictorial HWLs vs. small text HWLs), with 367 adults who smoked at least 10 cigarettes a day. Participants received a 14-day supply of their preferred cigarettes with packs modified to reflect their experimental condition. Over 2 weeks, we surveyed participants approximately 4-5 times a day during their smoking sessions, querying feelings about smoking, level of worry about harms from smoking, self-efficacy to cut down on cigarettes, self-efficacy to quit, hopefulness about quitting, and motivation to quit. Each evening, participants reported their perceived susceptibility to smoking harms and, for the last 24 hr, their frequency of thinking about smoking harms and cessation benefits, conversations about smoking cessation or harms, and foregoing or stubbing out cigarettes before they finished smoking. Mixed-effects ordinal and logistic models were estimated to evaluate differences between groups.

RESULTS

Participants whose packs included inserts were more likely than those whose packs did not include inserts to report foregoing or stubbing out of cigarettes (OR = 2.39, 95% CI = 1.36, 4.20). Otherwise, no statistically significant associations were found between labeling conditions and outcomes.

CONCLUSIONS

This study provides some evidence, albeit limited, that pack inserts with efficacy messages can promote behaviors that predict smoking cessation attempts.

An Update on the Use of Wearable Devices in Men's Health

Men's health represents an often-overlooked aspect of public health. Men have higher mortality rates worldwide and are more negatively affected by chronic conditions such as obesity and heart disease, as well as addiction to alcohol and tobacco. Men also have health issues such as prostate cancer and male sexual dysfunction which only affect them. Because of the skewed burden of morbidity and mortality on men, it is imperative from a public health perspective to make a concerted effort to specifically improve men's health. The use of wearable devices in medical practice presents a novel avenue to invest in men's health in a safe, easily scalable, and economic fashion. Wearable devices are now ubiquitous in society, and their use in the healthcare setting is only increasing with time. There are commercially available devices such as smart watches which are available to lay people and healthcare professionals alike to improve overall health and wellness, and there are also purpose-built wearable devices which are used to track or treat a specific disease. In our review of the literature, we found that while research in the field of wearable devices is still in its early stages, there is ample evidence that wearable devices can greatly improve men's health in the long-term.

A qualitative study on the influence of COVID-19 on smoking behaviors through changing social and physical contexts

Globally, COVID-19 has been a major societal stressor and disrupted social and physical environments for many. Elucidating mechanisms through which societal disruptions influence smoking behavior has implications for future tobacco control efforts. Qualitative interviews were conducted among 38 adults who smoked combustible cigarettes in 2020 and 2021. The majority were women (75.7%), identified as Black (56.8%), were employed (61.3%), had a smoke-free home (66.7%) and lived in a small metro or rural (79.0%) county, primarily in rural southwest Georgia. Participants reported more time at home, increased isolation and less socializing, changed work and financial situations and altered household and family contexts. The vast majority of participants smoked more at some point during the pandemic with about half of these continuing to smoke more at the time of the interview. More time at home, multiple sources of stress and boredom were the main reasons for increased smoking. Decreases in smoking were attributed to financial strain, smoke-free home rules and nonsmoking family members, concerns about COVID-19 and less socializing with friends who smoke. Future tobacco control efforts during societal stressors such as pandemics should take into account specific psychosocial and environmental influences in attempts to minimize negative changes to smoking patterns.

Tobacco advertising exposure and product use among young adults: An ecological momentary assessment approach

INTRODUCTION

Tobacco-related content is prevalent on social media, yet many methods of measuring exposure are inadequate due to the personalized nature of online marketing. The purpose of this paper is to examine the association between exposure to pro-tobacco messages (both industry-sponsored and user-generated) and the use of tobacco products, as reported via ecological momentary assessment (EMA).

METHODS

Young adults (n = 175) were instructed to record all sightings of marketing (both in-person and online) related to tobacco for 28 days. Tobacco product use and recall of message encounters were assessed daily using app-initiated EMA.

RESULTS

Participants who reported exposure to tobacco messages were significantly more likely to report using tobacco, adjusting for gender, age, race/ethnicity, baseline use of any tobacco product, and having friends who use tobacco and e-cigarettes (p <.001). For each industry-sponsored message viewed, the odds of using tobacco or e-cigarettes in a given day increased by a factor of 1.77 (95 % CI = 1.41, 2.23). For each user-generated message viewed, the odds of using tobacco or e-cigarettes in a given day increased by a factor of 1.52 (95 % CI = 1.27, 1.83).

DISCUSSION

To our knowledge, this is the first study to specifically examine the association between exposure to user-generated messages and daily tobacco use. The findings suggests that there is a unique element to user-generated messages that distinguishes them from both traditional marketing and from simple peer influence.

Momentary associations between affect and craving as a function of perceived smoking opportunity in young adults smoking 1-5 cigarettes per day: An ecological momentary assessment study

BACKGROUND

Very light daily smoking (1-5 cigarettes/day) is associated with adverse consequences and is prevalent among young adults. Evidence suggests that perceived smoking opportunity modulates links between affect and craving in adults with heavier smoking patterns (e.g., > 10 cigarettes per day), but there is a lack of similar data in young adults with very light daily smoking patterns. This study addresses this gap by investigating the associations between affect and craving as a function of perceived smoking opportunity under naturalistic conditions.

METHODS

Forty-one young adults aged 18-25 (M=21.03, SD=1.75) who reported smoking 1-5 cigarettes per day (M=3.2, SD=1.2) completed intermittent ratings of momentary affective valence and arousal, smoking craving, and perceived smoking opportunity on smartphones five times per day for seven days.

RESULTS

Multilevel analyses suggested that when participants felt more pleasant or unpleasant, they were likely to report more intense craving. When smoking opportunity was perceived as high, affective arousal was positively associated with craving; this association was not observed when opportunity to smoke was perceived as low.

CONCLUSIONS

These findings indicate that higher momentary intensity of affective valence (both negative and positive) is linked to stronger momentary craving in young adults who report very light daily smoking. Anticipating an opportunity to satisfy craving by smoking may strengthen the association between reported affective arousal and craving in this population. These results highlight the potential benefits of coping with craving (e.g., by regulating affect) for those who engage in light tobacco use, especially in environments with high cigarette availability.

Barriers and facilitators for smoking cessation in chronic smokers with atherosclerotic cardiovascular disease enrolled in a randomized intervention trial: A qualitative study

Objectives

Smoking is common in patients with cardiovascular disease. Despite strong recommendations for cessation and the existence of efficacious pharmacological and behavioral interventions, cessation rates remain low. Therefore, in this study, we explore perceived facilitators and barriers to smoking cessation in patients with atherosclerotic cardiovascular disease who have participated in a cessation intervention study.

Methods

Participants (N = 10) from the intervention arm of a randomized controlled study with access to free cessation support and pharmacological aids completed a semi-structured, in-depth telephone interview after a 6-monthfollow-up between October 2021 and July 2022. The interviews were audio recorded, transcribed, and analyzed according to principles of thematic analysis.

Results

The mean age was 65.7 (range: 55-79) years, and three of the 10 participants were women. Among the participants, five had quit smoking, three had relapsed, and two were persistent smokers. The themes identified encompassed barriers and facilitators to cessation, both including individual and contextual factors. Barriers included the upsides of smoking, difficult life situations, addiction to smoking, smoking in social circles, perceived lack of support and understanding from health professionals. Facilitators included intrinsic motivation, concerns about the health condition, financial implications, specific behavioral strategies, positive influence from the social environment, and helpful components of the cessation intervention.

Conclusion

Smokers with cardiovascular disease who have attended a cessation intervention study report several facilitators weighted against barriers, interacting with the intention to cease smoking. The most important potentially modifiable factors of significance for cessation identified may be addressed through motivational interviews and focus groups with other smokers.

Momentary Associations Among Minority Stress, Craving, Affect, and Nicotine Use Among Sexual Minority Youth

OBJECTIVES

Sexual minority youth are more likely to use nicotine relative to heterosexual youth. The minority stress model posits these disparities are partly due to unique stress (i.e., minority stress) specific to their stigmatized identities. However, there is a dearth of research exploring the fine-grained dynamic interplay between minority stressors, mediating processes, and nicotine use in sexual minority youth's daily lives and natural environment. We leveraged ecological momentary assessment over a 30-day monitoring period to test the mediating effects of craving and negative and positive affect on the momentary associations between minority stressors and subsequent nicotine use among sexual minority youth who were active nicotine users and recruited from the community.

METHODS

Participants were 85 nicotine users, ages 15-19 years old (M age = 17.96, SD = 1.10; 56.6% cisgender female; 56.6% bisexual; 73.5% non-Hispanic White) and half (51.8%) were daily nicotine users.

RESULTS

Results indicated that exposure to a minority stressor was associated with momentary elevations in nicotine craving and negative affect and decreases in positive affect. Nicotine craving and positive affect were also associated with greater probability of subsequent nicotine use. The associations between minority stressors and subsequent nicotine use were mediated through craving and positive, but not negative affect.

CONCLUSIONS

Our findings provide the first ecological momentary assessment evidence of these associations among sexual minority youth and help support and advance both addictions and sexual minority-specific models (e.g., minority stress) of nicotine use among youth.

Acting with awareness moderates the association between lifetime exposure to interpersonal traumatic events and craving via trauma symptoms: a moderated indirect effects model

BACKGROUND

History of exposure to traumatic events (ETE) is common among women in substance use disorder (SUD) treatment and is related to craving. We examined whether ETE (i.e., emotional, physical, sexual abuse) in childhood, adulthood, or both is related to craving via trauma symptoms and how trait mindfulness might attenuate this association.

METHODS

Baseline data from a larger randomized clinical trial of a mindfulness-based intervention for women (N = 245) in SUD treatment were used. Inclusion criteria were: 18-65 years of age, SUD diagnosis, English fluency, no cognitive impairment, and willingness to be audio recorded and provide consent. Demographics and validated measures of ETE, posttraumatic stress symptoms, trait mindfulness, and substance use craving were collected via in-person interviews. Descriptive statistics, correlational analysis, and relative direct, indirect, and conditional indirect effects models were run.

RESULTS

Most participants identified as Hispanic (58.5%), had at least a high school education (52.2%), with a mean age of 32.2. Women reported ETE in childhood only (20.4%), adulthood only (17.5%), both childhood and adulthood (50.0%), and never (11.4%). Compared to women with ETE in both childhood and adulthood, those with exposure in adulthood only (β = -.10, 95% CI = -.20, -.02) or no exposure (β = -.11, 95% CI = -.23, -.03; [∆R2= .347, F(8, 245) = 15.7, p < .001) had lower craving via lower trauma symptomatology but no difference when compared to those with ETE only in childhood. Acting with awareness moderated this indirect effect (∆R2 = .04, F(3, 245) = 4.66, p = .004. At low levels of awareness, women with ETE during both childhood and adulthood reported higher craving via trauma symptomatology than women with no exposure or only adulthood exposure.

CONCLUSIONS

Low levels of acting with awareness may worsen trauma symptoms after ETE, which in turn may lead to more craving for women in substance use treatment. Despite a small moderating effect size, acting with awareness may have clinical significance due to the prevalence of trauma symptoms among women in SUD treatment.

Quit Stage and Intervention Type Differences in the Momentary Within-Person Association Between Negative Affect and Smoking Urges

Background

Smoking urges and negative affect play important roles in daily cigarette smoking and smoking lapse during a cessation attempt. Traditionally, laboratory research has considered negative affect as a potential cause of smoking urges. A deeper understanding of momentary associations between negative affect and smoking urges during a smoking cessation attempt can inform treatment development efforts. This study examined whether the within-person association between negative affect and smoking urges differed before and after a quit attempt, and by intervention type.

Methods

Data are from a pilot randomized controlled trial comparing 3 smoking cessation interventions. Participants were randomly assigned to: (1) a novel, smartphone-based just-in-time adaptive intervention that tailored treatment content in real-time (Smart-T2; n = 24), (2) the National Cancer Institute QuitGuide app (n = 25), or (3) a clinic-based tobacco cessation program (TTRP; n = 23) that followed Clinical Practice Guidelines. All participants received up to 12 weeks of nicotine replacement therapy and completed up to 5 assessments per day (M PreQuit = 25.8 assessments, SD = 6.0; M PostQuit = 107.7 assessments, SD = 37.1) of their negative affect and smoking urges during the 7 days (M = 6.6 days, SD = 1.0) prior to their quit-date and the 29 days (M = 25.8 days, SD = 6.4) after their quit-date. Prior to analysis, repeated measures of smoking urges were decomposed into between-person and within-person components.

Results

After accounting for baseline nicotine dependence, Bayesian multilevel models indicated that the extent of within-person association between negative affect and smoking urges was stronger in the post-quit stage of the intervention than the pre-quit stage. Results also indicated that in the post-quit stage of the intervention, the within-person association between negative affect and smoking urges was weaker for those in the Smart-T2 and TTRP groups compared with those in the QuitGuide group. The extent of this within-person association did not differ between those in the Smart-T2 and TTRP groups.

Conclusions

These findings offer preliminary evidence that the momentary within-person association between negative affect and smoking urges increases following a quit attempt, and that the TTRP and Smart-T2 interventions may weaken this association. Research is needed to replicate and expand upon current findings in a fully powered randomized controlled trial.

Clinical Trial Registration

ClinicalTrials.gov NCT02930200; https://clinicaltrials.gov/show/NCT02930200.

Characterizing and Modeling Smoking Behavior Using Automatic Smoking Event Detection and Mobile Surveys in Naturalistic Environments: Observational Study

Background

There are 1.1 billion smokers worldwide, and each year, more than 8 million die prematurely because of cigarette smoking. More than half of current smokers make a serious quit every year. Nonetheless, 90% of unaided quitters relapse within the first 4 weeks of quitting due to the lack of limited access to cost-effective and efficient smoking cessation tools in their daily lives.

Objective

This study aims to enable quantified monitoring of ambulatory smoking behavior 24/7 in real life by using continuous and automatic measurement techniques and identifying and characterizing smoking patterns using longitudinal contextual signals. This work also intends to provide guidance and insights into the design and deployment of technology-enabled smoking cessation applications in naturalistic environments.

Methods

A 4-week observational study consisting of 46 smokers was conducted in both working and personal life environments. An electric lighter and a smartphone with an experimental app were used to track smoking events and acquire concurrent contextual signals. In addition, the app was used to prompt smoking-contingent ecological momentary assessment (EMA) surveys. The smoking rate was assessed based on the timestamps of smoking and linked statistically to demographics, time, and EMA surveys. A Poisson mixed-effects model to predict smoking rate in 1-hour windows was developed to assess the contribution of each predictor.

Results

In total, 8639 cigarettes and 1839 EMA surveys were tracked over 902 participant days. Most smokers were found to have an inaccurate and often biased estimate of their daily smoking rate compared with the measured smoking rate. Specifically, 74% (34/46) of the smokers made more than one (mean 4.7, SD 4.2 cigarettes per day) wrong estimate, and 70% (32/46) of the smokers overestimated it. On the basis of the timestamp of the tracked smoking events, smoking rates were visualized at different hours and were found to gradually increase and peak at 6 PM in the day. In addition, a 1- to 2-hour shift in smoking patterns was observed between weekdays and weekends. When moderate and heavy smokers were compared with light smokers, their ages (P<.05), Fagerström Test of Nicotine Dependence (P=.01), craving level (P<.001), enjoyment of cigarettes (P<.001), difficulty resisting smoking (P<.001), emotional valence (P<.001), and arousal (P<.001) were all found to be significantly different. In the Poisson mixed-effects model, the number of cigarettes smoked in a 1-hour time window was highly dependent on the smoking status of an individual (P<.001) and was explained by hour (P=.02) and age (P=.005).

Conclusions

This study reported the high potential and challenges of using an electronic lighter for smoking annotation and smoking-triggered EMAs in an ambulant environment. These results also validate the techniques for smoking behavior monitoring and pave the way for the design and deployment of technology-enabled smoking cessation applications.

International Registered Report Identifier (IRRID)

RR2-10.1136/bmjopen-2018-028284

Stable and momentary psychosocial correlates of everyday smoking: An application of Temporal Self-Regulation Theory

Smoking is one of the leading causes of non-communicable disease mortality and morbidity. Smoking behaviour is determined by both stable, person-level (e.g., motivation, nicotine dependence) and variable, situation-level factors (e.g., urges, cues). However, most theoretical approaches to understanding health behaviours so far have not integrated these two spheres of influence. Temporal Self-Regulation Theory (TST) integrates these person-level and situation-level factors, but has not yet been comprehensively applied to predicting smoking behaviour. We use Ecological Momentary Assessment to examine the utility of TST in predicting daily smoking. 46 smokers reported individual and environmental cues right after smoking and at random time points during the day. Cognitions, self-control, past behaviour, and nicotine dependence were assessed at baseline. Multi-level logistic regressions show that smoking is largely guided by momentary cues, but individual motivation can buffer their influence. This suggests that TST is a useful integrative approach to understand modifiable determinants of smoking and thus intervention targets.

The mobile assistance for regulating smoking (MARS) micro-randomized trial design protocol

Smoking is the leading preventable cause of death and disability in the U.S. Empirical evidence suggests that engaging in evidence-based self-regulatory strategies (e.g., behavioral substitution, mindful attention) can improve smokers' ability to resist craving and build self-regulatory skills. However, poor engagement represents a major barrier to maximizing the impact of self-regulatory strategies. This paper describes the protocol for Mobile Assistance for Regulating Smoking (MARS) - a research study designed to inform the development of a mobile health (mHealth) intervention for promoting real-time, real-world engagement in evidence-based self-regulatory strategies. The study will employ a 10-day Micro-Randomized Trial (MRT) enrolling 112 smokers attempting to quit. Utilizing a mobile smoking cessation app, the MRT will randomize each individual multiple times per day to either: (a) no intervention prompt; (b) a prompt recommending brief (low effort) cognitive and/or behavioral self-regulatory strategies; or (c) a prompt recommending more effortful cognitive or mindfulness-based strategies. Prompts will be delivered via push notifications from the MARS mobile app. The goal is to investigate whether, what type of, and under what conditions prompting the individual to engage in self-regulatory strategies increases engagement. The results will build the empirical foundation necessary to develop a mHealth intervention that effectively utilizes intensive longitudinal self-report and sensor-based assessments of emotions, context and other factors to engage an individual in the type of self-regulatory activity that would be most beneficial given their real-time, real-world circumstances. This type of mHealth intervention holds enormous potential to expand the reach and impact of smoking cessation treatments.

Pilot Ecological Momentary Assessment Study of Subjective and Contextual Factors Surrounding E-Cigarette and Combustible Tobacco Product Use among Young Adults

BACKGROUND

Dual use of e-cigarettes and combustible tobacco products is common in young adults. We aimed to explore how ratings of subjective and contextual factors differed between discrete episodes of e-cigarette use vs. combustible tobacco product smoking among a sample of young adults.

METHODS

Young adults (N = 29, ages 18-30) who used e-cigarettes and ≥1 combustible tobacco product at least once weekly completed a 1-week smartphone-based ecological momentary assessment (EMA). Twice daily random prompts assessed past-15-min use of tobacco products, ratings of subjective factors (e.g., negative affect, craving), and contextual factors related to activity, location, and companionship. A multivariable GEE model assessed whether subjective or contextual factors were associated with e-cigarette vs. combustible tobacco product episodes.

RESULTS

184 tobacco use episodes were reported (39.7% e-cigarette, 60.3% combustible tobacco product). High baseline cigarette dependence, as measured by the Fagerström Test for Cigarette Dependence, was associated with lower odds of e-cigarette vs. combustible tobacco product episodes (aOR 0.01, 95% CI (0.002-0.08); p < 0.001). Neither between- or within-subjects negative affect or craving scores were associated with e-cigarette use. Activities of eating/drinking (aOR 0.20, 95% CI (0.08-0.49); p = 0.001) and being in the companionship of a person who smoked cigarettes (aOR 0.13, 95% CI (0.04-0.43); p = 0.001) were associated with lower odds of e-cigarette vs. combustible tobacco product use episodes. However, traveling (aOR 12.02, 95% CI (3.77-38.26); p ≤ 0.001) and being in a public space (aOR 2.76, 95% CI (1.10-6.96); p = 0.03) were associated with higher odds of e-cigarette than combustible tobacco product use episodes.

CONCLUSIONS

This pilot data suggests that unique contextual factors may be associated with e-cigarette use, compared to combustible tobacco smoking in a sample of young adults who use both e-cigarettes and combustible tobacco products. Future research with larger samples is needed to better characterize varying contexts and cues for tobacco use among young adults who are dual users.

Causes of smoking relapse in the 12 months after smoking cessation treatment: Affective and cigarette dependence-related factors

Despite advances in smoking cessation treatments, smoking relapse remains common. Experiencing positive or negative affect and cigarette dependence are the most common causes of relapse; however, little is known about the characteristics that increase the risk of relapse from these causes among current treatment-seeking smokers. Thus, this study aimed to identify the most frequent causes of relapse and the individual characteristics that increase the risk of relapse from these causes during a 12-month period after smoking cessation. Participants included 121 treatment-seeking smokers who quit smoking at the end of treatment and relapsed during a 12-month follow-up period (60.3% female;Mage = 42.57, SD = 11.07). Results indicated that the most frequent smoking relapse situations occurred when smokers experienced positive (e.g., being relaxed; 43.0%) or negative (e.g., being angry; 37.2%) affect or cigarette dependence-related situations (e.g., craving; 19.8%). At an individual level, males with a higher level of education and without a psychopharmaceutical prescription had a higher risk of relapsing in positive-affect situations. Smoking the first cigarette at an older age increased the risk of relapse in negative-affect situations. Finally, being younger and less motivated to quit at pretreatment increased the likelihood of relapse in cigarette dependence-related situations. These findings provide detailed information about smoking relapse situations and identify a set of characteristics that might help to improve current relapse-prevention interventions.

Total water intake by kilogram of body weight: Analysis of the Australian 2011 to 2013 National Nutrition and Physical Activity Survey

AIM

Water is critical for human survival, yet water intake equations may not reflect contemporary populations. This research aims to determine the total water intake of a representative Australian population, per kilogram of body weight (mL/kg) and stratified by age and sex.

METHODS

A secondary analysis of the 2011 to 2013 National Nutrition and Physical Activity Survey (n = 10 146) was conducted. Dietary intake from food and beverages was assessed by a 24-hour recall, with respondent's weight objectively measured. Data were descriptively analysed, with multiple linear regressions used to identify the impact of demographic and physiologic factors on total water intake (mL/kg).

RESULTS

The median (interquartile range) daily total water intake per kilogram of body weight for children (2-8 years), adolescents (9-18 years) and adults (19+ years) were 77.1 (57.4-100) mL/kg, 40.4 (29.3-53.4) mL/kg and 35.5 mL/kg (26.1-47.8), respectively. Increasing height and waist circumference were associated with reduced total water intake, with a change of -1.03 mL/kg (-1.43, -0.618) [coefficient (95% confidence interval)] in children for height and -0.448 mL/kg (-0.484, -0.412) in adults for waist circumference. Similarly, seasonality decreased intake, with greatest reductions in winter [adolescents: -4.11 mL/kg (-6.83, -1.40)]. In comparison, being male, living in rural areas and having a physical occupation were associated with greater intake, by 1.73 mL/kg (0.347, 3.10), 4.74 mL/kg (3.47, 6.00) and 2.82 (trade workers: 1.08, 4.59) in adults, respectively.

CONCLUSIONS

Total water intake (mL/kg) decreased with age in both sexes. The results highlight possibilities to incorporate other factors into water intake equations to improve their accuracy.

High emotion differentiation buffers against internalizing symptoms following exposure to stressful life events in adolescence: An intensive longitudinal study

Exposure to stressful life events is strongly associated with internalizing psychopathology, and identifying factors that reduce vulnerability to stress-related internalizing problems is critical for development of early interventions. Drawing on research from affective science, we tested whether high emotion differentiation-the ability to specifically identify one's feelings-buffers adolescents from developing internalizing symptoms when exposed to stress. Thirty adolescents completed a laboratory measure of emotion differentiation before an intensive year-long longitudinal study in which exposure to stress and internalizing problems were assessed at both the moment-level (n=4,921 experience sampling assessments) and monthly-level (n=355 monthly assessments). High negative and positive emotion differentiation attenuated moment-level coupling between perceived stress and feelings of depression, and high negative emotion differentiation eliminated monthly-level associations between stressful life events and anxiety symptoms. These results suggest that high emotion differentiation buffers adolescents against anxiety and depression in the face of stress, perhaps by facilitating adaptive emotion regulation.

Impact of self-efficacy on daily intention to not smoke

BACKGROUND

To improve cessation interventions, it is necessary to understand the factors associated with daily motivation to not smoke. One hypothesized factor is self-efficacy; however, there has been a lack of evidence investigating self-efficacy as a dynamic construct.

METHODS

This study examined the influence of baseline and daily self-efficacy on setting daily abstinence plans in pre-quit smokers and successful plans. Participants (N = 76) completed measures of self-efficacy at baseline, and each evening during 28 days of ecological momentary assessment.

RESULTS

Baseline self-efficacy was not correlated with mean daily rating of self-efficacy or variance in ratings. GLMM found that participants who had higher baseline self-efficacy than others were more likely to set an abstinence plan while participants who had a higher rating of self-efficacy on the previous night than others were more likely to set a plan on any given morning. Participants were less likely to set an abstinence plan if they had smoked on the previous day but were more likely if they had set an abstinence plan on the previous day. Participants were less likely to have a successful plan not to smoke if they smoked on the previous day.

CONCLUSIONS

The current data indicates that both baseline rating and day-to-day fluctuations in SE influence daily abstinence plan in pre-quit smokers. Future intervention research could examine the use of methods designed to increase and maintain a person's daily self-efficacy and how this can be leveraged to encourage these smokers to attempt long-term cessation.

Preparing for the Quit Day: Comparing Beliefs of Nondaily Versus Daily Young Adult Smokers as They Prepare for a Quit Attempt

INTRODUCTION

Most smoking cessation approaches are modeled on heavy daily smoking. With increasing prevalence of nondaily smoking, it may be necessary to modify these approaches for nondaily smokers.

AIMS

To provide information about beliefs and attitudes relevant to smoking cessation for nondaily smokers.

METHODS

Secondary analysis of two prospective studies on young adult smokers (18-24 years of age) provided brief advice to quit smoking. Measures include baseline levels of constructs relevant to smoking cessation counseling and perceived benefits of and barriers to smoking cessation.

RESULTS

Participants (n = 40 nondaily, 122 daily smokers) were predominantly White (70% and 84%, respectively), gender-balanced (50% and 43% female), full-time college students (89% and 95%). At baseline, nondaily smokers reported lower levels of nicotine dependence (p < .001; nondaily: Fagerström Test for Nicotine Dependence (FTND) = 0.8 ± 1.5, daily: FTND = 3.1 ± 1.9), lower urge to smoke (p < .001), greater self-efficacy when facing external smoking stimuli (p = .03), expecting to experience fewer positive effects (reduced negative affect, p = <.001, stimulation, p = .02), and valuing the importance of smoking effects less (ps < .01) than daily smokers. During counseling, nondaily smokers generated both fewer benefits of cessation (Wald X2(df = 1) = 4.91, p = .027) and fewer barriers (Wald X2(df = 1) = 5.99, p =.014) than daily smokers. Withdrawal was not listed by nondaily smokers as a barrier (p < .01).

CONCLUSIONS

Constructs relevant to smoking cessation for daily smokers were less salient to young nondaily smokers, compared with moderately addicted young daily smokers, as indicated by responses to standardized scales and by the generation of fewer benefits and barriers in counseling. Interventions may need to find novel ways to engage nondaily smokers, particularly young adult, in smoking cessation efforts.

IMPLICATIONS

This study is unique in eliciting benefits and barriers from nondaily smokers as they are about to make a quit attempt. This is a critically important point in time, as this is the point in time in which an action plan is formed and can be informed and enhanced by smoking cessation support. Our study further allowed direct comparison to daily smokers undergoing the same procedures, which allowed the identification of unique factors that may impact nondaily smokers in their quit attempt, which may guide intervention efforts. Use of a mixed method design further strengthen the rigor of this study.

Socioeconomic Status, Social Context, and Smoking Lapse During a Quit Attempt: An Ecological Momentary Assessment Study

BACKGROUND

Low socioeconomic status (SES) is linked to failure to quit smoking. Health inequity models suggest that low SES smokers experience barriers to quitting in part due to greater exposure to pro-smoking social contexts.

PURPOSE

The current study examined longitudinal associations among socioeconomic status, pro-smoking social context factors (i.e., exposure to other smokers, places where smoking was allowed), cigarette availability, and smoking lapse during a quit attempt.

METHODS

Ecological momentary assessments (EMA) were gathered from a multiethnic sample of 365 smokers engaged in a quit attempt. A multilevel structural equation model estimated a latent variable for SES indicated by income, education, health insurance, and employment, associations among EMAs for pro-smoking social contexts and cigarette availability, and indirect effects of SES through, pro-smoking social contexts and cigarette availability to subsequent smoking lapse.

RESULTS

Lower SES scores were associated with a higher likelihood of smoking lapse. Decomposition of the path from SES to smoking lapse into indirect effects showed significant paths through exposure to places where smoking is allowed and cigarette availability. Additionally, significant serial indirect paths from SES through both exposure to other smokers and places where smoking was allowed, in turn, through cigarette availability, and, ultimately, to smoking lapse were noted.

CONCLUSIONS

Consistent with models positing that SES influences health behaviors via contextual factors, the current study demonstrated that low SES smokers attempting to quit experienced greater pro-smoking social contexts that affected subsequent risk for lapse.

A Meta-Analysis of Cue Reactivity in Tobacco Cigarette Smokers

INTRODUCTION

The cue reactivity paradigm allows for systematic evaluation of motivational responses to drug-related cues that may elicit drug use. The literature on this topic has grown substantially in recent decades, and the methodology used to study cue reactivity has varied widely across studies. The present research provided a meta-analytic investigation of variables that have an impact on cue reactivity effects to enhance our understanding of this key feature of tobacco use disorders.

METHODS

A total of 128 publications yielded 249 effect sizes, which were analyzed to investigate the magnitude of the cue reactivity effect and potential moderators.

RESULTS

Craving generated a moderate-to-large effect size (Hedges' g = 0.71, p < .001), indicating that drug cues produced significantly greater craving than neutral cues. However, physiological variables yielded significantly lower or nonsignificant effect sizes. Analyses of a variety of empirically and theoretically relevant moderator variables showed that cue modality, cue personalization, cue reactivity environment, and the use of multiple assessments of cue reactivity were significantly associated with the magnitude of cue-specific craving effects (ps < .001). Effect sizes were not significantly related to abstinence status, gender, cigarettes per day, and treatment-seeking status.

CONCLUSIONS

The results underscored the strength of self-reported craving as an index of cue reactivity across studies, which support theories that posit cue reactivity is core to the addictive process for daily tobacco cigarette smokers. The present research further elucidates the variables that alter the cue reactivity effects across studies and provides recommendations for future cue reactivity research.

IMPLICATIONS

A core feature of addiction is that drug-related cues can have a major impact on motivational responses across multiple substance use disorders, including tobacco cigarettes. This paper describes a meta-analysis updating and synthesizing cue reactivity research with tobacco cigarette smokers over the last 20 years, a time of rapid growth for this literature. The study leads to a better understanding of the cue reactivity paradigm across different self-report and physiological variables and identifies factors that may modulate addictive motivation for tobacco cigarettes.

Examining moment to moment affective determinants of smoking rate following a quit attempt among homeless daily smokers

BACKGROUND

Cigarette smoking disproportionately affects homeless individuals, who have a higher smoking prevalence, fewer resources, and increased stressors compared to domiciled smokers. Little is known about how to facilitate smoking cessation among this population although some findings support focusing efforts on affective variables as well as alternate outcomes in order to optimize interventions for this group.

METHODS

Participants were homeless adults recruited from a Dallas, TX, shelter (N = 57, 61.4% male, M_age = 48.8 ± 9.0) to participate in tobacco cessation classes using an American Cancer Society-based therapy and support group with nicotine replacement therapy. Moment-to-moment changes in affect [e.g., negative affect (NA), positive affect (PA), and stress] were recorded via Ecological Momentary Assessments to assess whether they were associated with concurrent changes in cigarettes smoked per day (CPD) following a specific quit attempt. Separate generalized linear models (GLM) were evaluated for each predictor to examine the associations between affective variables and CPD in covariate-adjusted analyses.

RESULTS

Significant interaction effects of time and affect were found for all variables (NA: p = 0.0011, PA: p = 0.0006, stress: p = 0.0259), whereby the association of affect and CPD were significant in the early part of the week but the effects faded as time progressed. With regard to main effects, only increases in PA during the post-quit week significantly predicted fewer CPD (adjusted incidence rate ratio = 0.924, SE = 0.027, p = 0.0032).

CONCLUSIONS

Homeless smokers may be more likely to decrease their cigarette consumption during periods of greater PA throughout the post-quit week. Relationship between positive affect and reduction in CPD suggest focus on affective variables with homeless smokers may be an effective avenue for change in smoking behaviors, particularly in the days immediately following a quit attempt. Time effects should be further investigated to determine when these interventions might best be implemented.

Beliefs About Emotion Shift Dynamically Alongside Momentary Affect

This study examined if beliefs about emotion change across emotional contexts in daily life, and it investigated whether people with prominent features of borderline personality pathology experience greater shifts in emotion beliefs during emotional states. Undergraduate participants with (n = 49) and without borderline features (n = 50) completed a 1-week ecological momentary assessment study where they provided ratings of affect, nine different beliefs about emotion, and indicators of momentary self-efficacy. Results support the notion of beliefs as relatively schematic. However, most of the beliefs about emotion shifted with either positive or negative affect, and they predicted momentary self-efficacy for tolerating distress and exerting willpower. Those with borderline features experienced greater instability of beliefs, and borderline features moderated the relationships between affect and many beliefs. Results confirm that there are implications for emotion beliefs for people who struggle with emotion regulation and impulsivity (i.e., people with features of borderline personality).

COVID-19 Impact on Smokers Participating in Smoking Cessation Trials: The Experience of Nondaily Smokers Participating in a Smartphone App Study

Objectives: To provide initial insight into how the COVID-19 pandemic could affect smoking behaviors and cessation efforts that were underway at its onset. Methods: An additional survey was added to follow-up assessments in an ongoing smoking cessation study for nondaily smokers: a measure of impact of COVID-19 and a subset of previously administered scales measuring smoking, emotional well-being, and alcohol use. Pre-post tests were conducted (84 ± 28 days apart). Results: Participants (81/100 of enrolled; 67% female, 75% white, 10% Hispanic, 37 ± 11 years old) reported experiencing changes regarding work (35% income reduction/loss; 35% remote work) and living situation (15% consolidated residences). Participants reported their motivation to quit smoking "slightly" increased after COVID-19 (p < 0.001), more so in those having achieved 30-day abstinence (p = 0.0045). Worry, fear, and a desire to support the greater good increased (ps < 0.05). Increases in motivation to quit correlated positively with prosocial and wellness changes. Data from pre- to post-COVID-19 onset showed decreases in emotional well-being (increased stress, negative affect, decreased coping, positive affect, all ps < 0.01), but not changes in smoking abstinence (p = 0.65), readiness to quit (p = 0.16), smoking frequency (p = 0.96), or cigarettes per day (p = 0.96). Heavy drinking decreased (p < 0.01). Trying e-cigarettes increased (p = 0.04). Conclusions: Nondaily smokers participating in a smoking cessation study during the COVID-19 pandemic reported worsened emotional well-being without effects on smoking outcomes and said their motivation to quit was slightly increased. Correlations of motivation to quit with prosocial and wellness changes suggest that targeting these constructs may be particularly helpful during a pandemic.

Predicting the first smoking lapse during a quit attempt: A machine learning approach

BACKGROUND

Just-in-time adaptive interventions (JITAI) aim to prevent smoking lapse using tailored support delivered via mobile technology in the moments when it is most needed. Effective smoking cessation JITAI rely on the development of accurate decision rules that determine when someone is most likely to lapse. The primary goal of the present study was to identify the strongest predictors of first lapse among smokers undergoing a quit attempt.

METHODS

Smokers attending a clinic-based smoking cessation program (n = 74) were asked to complete ecological momentary assessments five times daily on study-provided smartphones for 4 weeks post-quit. A three-stage modeling process utilized Cox proportional hazards regression to examine time to lapse a function of 31 predictors. First, univariate models evaluated the relationship between each predictor and time to lapse. Second, the elastic net machine learning algorithm was used to select the best predictors. Third, backwards elimination further reduced the set of predictors to optimize parsimony.

RESULTS

Univariate models identified seven predictors significantly related to time to lapse. The elastic net algorithm retained five: perceived odds of smoking today, confidence in ability to avoid smoking, motivation to avoid smoking, urge to smoke, and cigarette availability. The reduced model demonstrated inadequate approximation to the non-penalized baseline model.

CONCLUSIONS

Accurate estimation of moments of high risk for smoking lapse remains an important goal in the development of JITAI. These results demonstrate the utility of exploratory data-driven approaches to variable selection. The results of this study can inform future JITAI by highlighting targets for intervention.

A time-varying model of the dynamics of smoking lapse

OBJECTIVE

The majority of smokers who make a quit attempt experience their first lapse within the first week of quitting, yet limited research to date has examined how the strength and direction of the relationship between smoking risk factors and lapse may change over longer periods of time. Time-varying effect modeling (TVEM) was used to address this gap.

METHOD

A diverse sample (N = 325) of adult smokers completed ecological momentary assessments of risk factors for lapse for 28 days after quitting. TVEM was used to examine the relationship between risk factors (abstinence self-efficacy, positive affect, positive coping expectancies, smoking expectancies, motivation, negative affect, stress, and urge) and lapse for 28 days postquit.

RESULTS

Some associations were stable (e.g., negative affect, motivation), whereas others varied over time. Abstinence self-efficacy, positive affect, and positive coping expectancies were most strongly associated with lapse between Days 3 and 8 postquit. The association of urge with lapse was strongest between Days 4 and 10, as well as near the end of the quit attempt. Stress was also most strongly associated with lapse near the beginning and end of the postquit period and was the only predictor associated with lapse on quit date. The strength of the association between smoking expectancies and lapse increased over time.

CONCLUSION

There may be periods during a quit attempt when certain risk factors are more strongly related to lapse. This work has relevance for tailoring interventions designed to deliver intervention components in particular contexts or times of need. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Smartphone-Based Ecological Momentary Assessment of Well-Being: A Systematic Review and Recommendations for Future Studies

Feelings of well-being and happiness fluctuate over time and contexts. Ecological Momentary Assessment (EMA) studies can capture fluctuations in momentary behavior, and experiences by assessing these multiple times per day. Traditionally, EMA was performed using pen and paper. Recently, due to technological advances EMA studies can be conducted more easily with smartphones, a device ubiquitous in our society. The goal of this review was to evaluate the literature on smartphone-based EMA in well-being research in healthy subjects. The systematic review was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Searching PubMed and Web of Science, we identified 53 studies using smartphone-based EMA of well-being. Studies were heterogeneous in designs, context, and measures. The average study duration was 12.8 days, with well-being assessed 2-12 times per day. Half of the studies included objective data (e.g. location). Only 47.2% reported compliance, indicating a mean of 71.6%. Well-being fluctuated daily and weekly, with higher well-being in evenings and weekends. These fluctuations disappeared when location and activity were accounted for. On average, being in nature and physical activity relates to higher well-being. Working relates to lower well-being, but workplace and company do influence well-being. The important advantages of using smartphones instead of other devices to collect EMAs are the easier data collection and flexible designs. Smartphone-based EMA reach far larger maximum sample sizes and more easily add objective data to their designs than palm-top/PDA studies. Smartphone-based EMA research is feasible to gain insight in well-being fluctuations and its determinants and offers the opportunity for parallel objective data collection. Most studies currently focus on group comparisons, while studies on individual differences in well-being patterns and fluctuations are lacking. We provide recommendations for future smartphone-based EMA research regarding measures, objective data and analyses.

Effects of Intranasal Oxytocin on Stress-Induced Cigarette Craving in Daily Smokers

BACKGROUND

Cigarette smoking is a well-known public health concern, and there is an urgent need to develop new treatments to reduce smoking or facilitate abstinence. One factor that is known to contribute to relapse is stress, making the stress response an important target for treatment. The neuropeptide oxytocin (OT) is believed to have stress-reducing effects, and in addition there is evidence that it reduces drug craving. The purpose of the present study was to examine the effects of intranasal OT on stress-induced cigarette craving in regular smokers after 12 h of abstinence.

METHOD

Daily smokers (n = 48) completed a stress induction task and a nonstressful control task at two different sessions, receiving intranasal OT (40 IU) or placebo (PBO) before or after the task. Subjects were randomly assigned to one of three groups: Group PP (n = 16) received PBO before and after the stress/control tasks, Group OP (n = 16) received OT before the tasks and PBO after, and Group PO (n = 16) received PBO before the tasks and OT shortly after completing the tasks. Cigarette craving as well as subjective and physiological responses to stress was assessed.

RESULTS

OT did not alter responses to stress, whether it was administered before or after the stressful task, on measures of cigarette craving, anxiety, heart rate, blood pressure, and cortisol levels.

CONCLUSIONS

The current study findings do not support several previous reports that OT reduced either stress or drug craving.

IMPLICATIONS

This study finds a null result of the neuropeptide oxytocin on stress-induced cigarette craving. Reporting null findings is part of the process of identifying potential treatments for addictive disorders.

The Relationship of Varenicline Agonism of α4β2 Nicotinic Acetylcholine Receptors and Nicotine-Induced Dopamine Release in Nicotine-Dependent Humans

INTRODUCTION

Cigarette smoking continues to be one of the most important behavioral causes of morbidity and mortality in the world. Varenicline, an α4β2 nicotinic acetylcholine receptor (nAChR) partial agonist, has been shown to increase smoking quit rates compared with nicotine-based products. This human laboratory, double-blind, placebo-controlled study examined varenicline and placebo effects on α4β2-nAChRs occupancy, nicotine-induced change in [11C]raclopride non-displaceable binding potential (BPND), and behavioral measures of cigarette smoking, nicotine craving, and withdrawal.

METHODS

Current nicotine dependent daily smokers (N = 17) were randomized to varenicline 1 mg twice daily or placebo for 13 days. Using positron emission tomography), we characterized α4β2-nAChRs occupancy using [18F]AZAN and dopamine receptor binding using [11C]raclopride as well as behavioral measures of cigarettes smoked, craving, and nicotine withdrawal.

RESULTS

Varenicline compared with placebo resulted in significant reductions in [18F]AZAN BPND in multiple brain regions including thalamus, midbrain, putamen, and ventral striatum. Following administration of a controlled-dose nicotine cigarette, dopamine release was significantly suppressed in the ventral striatum in the varenicline-treated compared with the placebo group. There was a significant relationship between α4β2-nAChRs BPND measured in thalamus during the [18F]AZAN scan and nicotine-induced change in raclopride BPND in the ventral striatum.

CONCLUSION

This is the first human study to demonstrate a direct relationship between the extent of varenicline occupancy of α4β2-nAChRs and the magnitude of dopamine release following nicotine use.

IMPLICATIONS

It has remained unclear how nicotinic receptor blockade through partial agonist medications such as varenicline promotes smoking cessation. One hypothesized mechanism is downstream dampening of the mesolimbic reward dopamine system. For the first time in human smokers, we observed a direct relationship between the extent of varenicline blockade of α4β2-nACh nicotinic receptors and the magnitude of dopamine release following smoking. This has mechanistic and therapeutic implications for improving smoking cessation interventions.

Effects of combined coffee and alcohol use over cigarette demand among treatment-seeking smokers

OBJECTIVE

This study is aimed at comparing the relative reinforcing efficacy (RRE) of nicotine though CPT performance in function of alcohol and coffee consumption of treatment-seeking smokers.

MATERIAL AND METHODS

A total of 88 treatment-seeking smokers (60.2 % female) completed the CPT. A multivariate analysis of variance (MANOVA) was used to compare alcohol (consumers and abstainers of alcohol) and coffee intake (high coffee consumers and low coffee consumers) on CPT indices.

RESULTS

Univariate effects of coffee × alcohol use interaction were significant for elasticity [F (1, 83) = 4.9435, p = .038, η2 = .051] and intensity [F (1, 83) = 6.972, p = .01, η2 = .077].

CONCLUSIONS

Alcohol and coffee use is associated with an elevated cigarette demand among treatment-seeking smokers. This finding suggests the need for specific interventions to reduce alcohol and coffee use in order to increase the effectiveness of treatments for smoking cessation.

A Mobile Just-in-Time Adaptive Intervention for Smoking Cessation: Pilot Randomized Controlled Trial

Background

Smartphone apps for smoking cessation could offer easily accessible, highly tailored, intensive interventions at a fraction of the cost of traditional counseling. Although there are hundreds of publicly available smoking cessation apps, few have been empirically evaluated using a randomized controlled trial (RCT) design. The Smart-Treatment (Smart-T2) app is a just-in-time adaptive intervention that uses ecological momentary assessments (EMAs) to assess the risk for imminent smoking lapse and tailors treatment messages based on the risk of lapse and reported symptoms.

Objective

This 3-armed pilot RCT aimed to determine the feasibility and preliminary efficacy of an automated smartphone-based smoking cessation intervention (Smart-T2) relative to standard in-person smoking cessation clinic care and the National Cancer Institute’s free smoking cessation app, QuitGuide.

Methods

Adult smokers who attended a clinic-based tobacco cessation program were randomized into groups and followed for 13 weeks (1 week prequitting through 12 weeks postquitting). All study participants received nicotine patches and gum and were asked to complete EMAs five times a day on study-provided smartphones for 5 weeks. Participants in the Smart-T2 group received tailored treatment messages after the completion of each EMA. Both Smart-T2 and QuitGuide apps offer on-demand smoking cessation treatment.

Results

Of 81 participants, 41 (50%) were women and 55 (68%) were white. On average, participants were aged 49.6 years and smoked 22.4 cigarettes per day at baseline. A total of 17% (14/81) of participants were biochemically confirmed 7-day point prevalence abstinent at 12 weeks postquitting (Smart-T2: 6/27, 22%, QuitGuide: 4/27, 15%, and usual care: 4/27, 15%), with no significant differences across groups (P>.05). Participants in the Smart-T2 group rated the app positively, with most participants agreeing that they can rely on the app to help them quit smoking, and endorsed the belief that the app would help them stay quit, and these responses were not significantly different from the ratings given by participants in the usual care group.

Conclusions

Dynamic smartphone apps that tailor intervention content in real time may increase user engagement and exposure to treatment-related materials. The results of this pilot RCT suggest that smartphone-based smoking cessation treatments may be capable of providing similar outcomes to traditional, in-person counseling.

Trial Registration

ClinicalTrials.gov NCT02930200; https://clinicaltrials.gov/show/NCT02930200

The influence of gender and oxytocin on stress reactivity, cigarette craving, and smoking in a randomized, placebo-controlled laboratory relapse paradigm

RATIONALE

Female cigarette smokers tend to show greater cessation failure compared with males. Variables that contribute to the maintenance of smoking, including stress and craving, may differentially impact male and female smokers. Novel pharmacotherapies, such as oxytocin, may attenuate stress reactivity and craving in smokers, but work in this area is limited.

OBJECTIVES

This study assessed the influence of gender and oxytocin on stress reactivity, craving, and smoking in a randomized, placebo-controlled laboratory relapse paradigm.

METHODS

Male and female adult cigarette smokers (ages 18-45) were enrolled (women oversampled 2:1) and completed a laboratory session, in which intranasal oxytocin or placebo was administered followed by a laboratory social stress task. The role of gender and oxytocin were assessed on measures of stress reactivity, cigarette craving, latency to smoke in a resistance task, subjective responses to smoking, and ad-libitum smoking.

RESULTS

Participants (N = 144) had a mean age of 31 were 63% female and 56% White. Following stress induction, female smokers evidenced greater subjective stress than males, though males demonstrated greater neuroendocrine reactivity and smoking intensity than females. No gender differences were demonstrated for craving. Oxytocin did not attenuate any aspect of stress reactivity, craving, smoking, or subjective responses to smoking compared with placebo.

CONCLUSIONS

Gender differences in stress reactivity were shown in the hypothesized direction, but oxytocin appeared to exert little impact on subjective or behavioral metrics. Results highlight the complex relationship between gender, stress, and smoking, as well as the implications for oxytocin as a potential pharmacotherapy for smoking cessation.

Sex Differences in Subjective and Behavioral Responses to Stressful and Smoking Cues Presented in the Natural Environment of Smokers

INTRODUCTION

Some evidence suggests that female smokers may show more context-dependent smoking and that males may show more stereotyped smoking (regardless of stress or cue exposure). The goal of this study was to characterize sex differences in response to stressful and smoking cues ecologically presented in daily life and variability in day-to-day smoking behavior.

METHODS

Adult smokers (N = 177) provided ratings of mood and cigarette craving before and after stress and smoking cues were presented four times daily for 14 days via a mobile device. Linear mixed models tested whether (1) female smokers exhibited greater reactivity to stressful cues than male smokers; (2) pre-cue negative affect increased reactivity to smoking cues more in female smokers than male smokers; (3) across both sexes, greater reactivity to stressful and smoking cues correlated with greater quantity of smoking within a day; and (4) female smokers exhibited greater variability in cigarettes per day (CPD) relative to males.

RESULTS

Relative to male smokers, female smokers reported greater negative affect, stress, and craving in response to stressful cues, but not smoking cues, after accounting for time since last cigarette and pre-cue responding. No sex differences in CPD or variability in CPD were detected. Days with higher subjective reactivity to cues were not associated with increased smoking, in either males or females.

CONCLUSIONS

Sex differences were observed in response to stress but not smoking cues in the natural environment of regular cigarette smokers. Further research is necessary to evaluate whether stress reactivity in female smokers is associated with reduced latency to smoke following stress exposure in daily life.

IMPLICATIONS

This study provides naturalistic evidence that female smokers may not be more reactive to smoking cues than males, but experience heightened stress and craving following stress exposure. There was no evidence to support the hypothesis that amount smoked per day varied more for females, relative to males, as a result of more context-driven smoking for females.

Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse

Introduction

Machine learning algorithms such as elastic net regression and backward selection provide a unique and powerful approach to model building given a set of psychosocial predictors of smoking lapse measured repeatedly via ecological momentary assessment (EMA). Understanding these predictors may aid in developing interventions for smoking lapse prevention.

Methods

In a randomized-controlled smoking cessation trial, smartphone-based EMAs were collected from 92 participants following a scheduled quit date. This secondary analysis utilized elastic net-penalized cox proportional hazards regression and model approximation via backward elimination to (1) optimize a predictive model of time to first lapse and (2) simplify that model to its core constituent predictors to maximize parsimony and generalizability.

Results

Elastic net proportional hazards regression selected 17 of 26 possible predictors from 2065 EMAs to model time to first lapse. The predictors with the highest magnitude regression coefficients were having consumed alcohol in the past hour, being around and interacting with a smoker, and having cigarettes easily available. This model was reduced using backward elimination, retaining five predictors and approximating to 93.9% of model fit. The retained predictors included those mentioned above as well as feeling irritable and being in areas where smoking is either discouraged or allowed (as opposed to not permitted).

Conclusions

The strongest predictors of smoking lapse were environmental in nature (e.g., being in smoking-permitted areas) as opposed to internal factors such as psychological affect. Interventions may be improved by a renewed focus of interventions on these predictors.

Implications

The present study demonstrated the utility of machine learning algorithms to optimize the prediction of time to smoking lapse using EMA data. The two models generated by the present analysis found that environmental factors were most strongly related to smoking lapse. The results support the use of machine learning algorithms to investigate intensive longitudinal data, and provide a foundation for the development of highly tailored, just-in-time interventions that can target on multiple antecedents of smoking lapse.

The development and validation of a human screening model of tobacco abstinence

INTRODUCTION

Given the low efficacy of smoking cessation methods, an experimental medicine model indicating smoking abstinence would be of great benefit to the development of new treatments. Hence the sensitivity of cognitive tasks and ambulatory craving measures to smoking abstinence were investigated.

METHODS

Cognitive tasks and ambulatory ratings of craving were assessed for sensitivity to acute abstinence (experiment 1), and nicotine replacement therapy administration (NRT) (experiment 2).

RESULTS

In experiment 1 go/no-go performance was improved (Mean Difference [MD] -0.99, 95% CI: -1.90 to -0.08) and craving was lower (Regression Coefficient [RC] -33.39, 95% CI: -39.96 to -26.82) in satiated compared with abstinent smokers. There was no clear evidence that N-back (MD 0.64, 95% CI: -0.42 to 2.51), delay discounting (MD 0.01, 95% CI: 0.001 to 0.005) or dot probe performance (MD 0.61, 95% CI: -0.87 to 1.54) were sensitive to acute abstinence. In experiment 2 go/no-go performance was improved (MD 1.12, 95% CI: 0.16-2.08) and craving was lower (RC -18.59, 95% CI: -24.63 to -12.55) smokers abstinent overnight receiving NRT compared with placebo. There was no clear evidence that N-back (MD -0.25, 95% CI: -1.45 to 0.94), delay discounting (MD 0.01, 95% CI: -0.002 to 0.004) or dot probe performance (MD -0.49, 95% CI: -1.61 to -0.64) were sensitive to NRT.

CONCLUSIONS

Findings from two experiments converge to suggest that abstinence in smokers reliably increases ambulatory craving assessments and, to a lesser extent, decreases go/no-go task performance. These findings can be utilized in the development of an experimental medicine model to test novel treatments for smoking cessation.

Considering Drug-Associated Contexts in Substance Use Disorders and Treatment Development

Environmental contexts that are reliably associated with the use of pharmacologically active substances are hypothesized to contribute to substance use disorders. In this review, we provide an updated summary of parallel preclinical and human studies that support this hypothesis. Research conducted in rats shows that environmental contexts that are reliably paired with drug use can renew extinguished drug-seeking behavior and amplify responding elicited by discrete, drug-predictive cues. Akin to drug-associated contexts, interoceptive drug stimuli produced by the psychopharmacological effects of drugs can also influence learning and memory processes that play a role in substance use disorders. Findings from human laboratory studies show that drug-associated contexts, including social stimuli, can have profound effects on cue reactivity, drug use, and drug-related cognitive expectancies. This translationally relevant research supports the idea that treatments for substance use disorders could be improved by considering drug-associated contexts as a factor in treatment interventions. We conclude this review with ideas for how to integrate drug-associated contexts into treatment-oriented research based on 4 approaches: pharmacology, brain stimulation, mindfulness-based relapse prevention, and cognitive behavioral group therapy. Throughout, we focus on alcohol- and tobacco-related research, which are two of the most prevalent and commonly misused drugs worldwide for which there are known treatments.

A Conceptual Framework for Understanding Multiple Tobacco Product Use and the Impact of Regulatory Action

INTRODUCTION

Over 35% of the adult tobacco-using population regularly use more than one tobacco product. Although rates of tobacco use in the United States have declined over the last decade, rates of multiple tobacco product (MTP) have either remained stable (among adults) or increased (among youth).

METHODS

In this paper, we review the literature and propose a framework for understanding both MTP use and how regulatory actions on any single tobacco product (STP) may influence the use of other tobacco products.

RESULTS AND CONCLUSIONS

Within the framework, Product, Person, and Context/Situational factors (and their interactions) influence product cross-substitution and thus patterns of use of MTPs. In addition, we propose that Context/Situation effects specifically increase the complexity of MTP-use patterns resulting in "dynamic complementarity" in addition to substitution-like relationships between tobacco products. Experimentation with, and use of, various tobacco products results in reinforcement histories that affect which products are used, in what contexts, and by whom, which in turn has downstream impacts on toxicant exposure and health. We conclude our analysis with an examination of how regulation of STPs can have impacts on the use of other STP and MTP use and provide research questions for further examining MTP use.

IMPLICATIONS

Though rates of tobacco use have declined in the United States, over 35% of the adult tobacco-using population regularly uses more than one tobacco product. This paper provides a framework for understanding MTP use and how regulatory actions on any STP may influence the use of other tobacco products. We conclude our analysis by providing research questions for further examining MTP use.

Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientists

Researchers are sometimes interested in predicting a distal or external outcome (such as smoking cessation at follow-up) from the trajectory of an intensively recorded longitudinal variable (such as urge to smoke). This can be done in a semiparametric way via scalar-on-function regression. However, the resulting fitted coefficient regression function requires special care for correct interpretation, as it represents the joint relationship of time points to the outcome, rather than a marginal or cross-sectional relationship. We provide practical guidelines, based on experience with scientific applications, for helping practitioners interpret their results and illustrate these ideas using data from a smoking cessation study.

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).

A day-by-day prospective analysis of stress, craving and risk of next day alcohol intake during alcohol use disorder treatment

BACKGROUND

Stress has been known to increase craving in individuals with Alcohol Use Disorders (AUD) and predict future alcohol relapse risk, but whether stress on a particular day affects craving on that day to impact prospective alcohol intake in the real world, particularly during early treatment and recovery, has not been studied thus far.

METHOD

The first study included 85 AUD individuals who reported their daily stress, craving, and alcohol intake in the first two weeks of early treatment. A second validation study included 28 AUD patients monitored daily during eight weeks of outpatient 12-Step based behavioral counseling treatment for AUD. Data were collected from telephone-based daily diaries for 903 days in Study 1 and 1488 in Study 2. Multilevel latent models tested if daily and person-averaged craving mediated the link between stressful events and next day drinking during treatment.

RESULTS

In both Study 1 and 2, exposure to a stressful event on a particular day predicted increased craving on that day (p's≤.002); and such increases in craving predicted the likelihood of drinking the next day (p's≤.014) and the drinking amount (p's< = 008). Individuals who experienced more stressful events reported higher craving (p's≤.012), and higher cravers reported greater next day drinking (p's<.001).

CONCLUSIONS

The results across two studies with separate samples are the first to establish that craving directly mediates the association between stress and next day alcohol intake in individuals with AUD. Findings suggest a need for novel treatment approaches to address stress-induced craving to improve alcohol use outcomes.

Wearable Sensors for Monitoring of Cigarette Smoking in Free-Living: A Systematic Review

Globally, cigarette smoking is widespread among all ages, and smokers struggle to quit. The design of effective cessation interventions requires an accurate and objective assessment of smoking frequency and smoke exposure metrics. Recently, wearable devices have emerged as a means of assessing cigarette use. However, wearable technologies have inherent limitations, and their sensor responses are often influenced by wearers' behavior, motion and environmental factors. This paper presents a systematic review of current and forthcoming wearable technologies, with a focus on sensing elements, body placement, detection accuracy, underlying algorithms and applications. Full-texts of 86 scientific articles were reviewed in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines to address three research questions oriented to cigarette smoking, in order to: (1) Investigate the behavioral and physiological manifestations of cigarette smoking targeted by wearable sensors for smoking detection; (2) explore sensor modalities employed for detecting these manifestations; (3) evaluate underlying signal processing and pattern recognition methodologies and key performance metrics. The review identified five specific smoking manifestations targeted by sensors. The results suggested that no system reached 100% accuracy in the detection or evaluation of smoking-related features. Also, the testing of these sensors was mostly limited to laboratory settings. For a realistic evaluation of accuracy metrics, wearable devices require thorough testing under free-living conditions.

Cigarette Smoking Cessation Intervention for Buprenorphine Treatment Patients

Introduction

Patients receiving medication assisted therapy (MAT) for opioid use disorder have high cigarette smoking rates. Cigarette smoking interventions have had limited success. We evaluated an intervention to increase cigarette abstinence rates in patients receiving buprenorphine-assisted therapy.

Methods

Cigarette smokers (N = 175; 78% male; 69% Caucasian; 20% Hispanic), recruited from a buprenorphine clinic were randomly assigned to either an extended innovative system intervention (E-ISI) or to Standard Treatment Control (STC). The E-ISI combined motivational intervention with extended treatment (long-term nicotine replacement therapy , varenicline, and extended cognitive behavioral therapy). STC received written information about quit-lines, medication, and resources. Assessments were held at baseline and 3, 6, 12, and 18 months. Seven-day biochemically verified point-prevalence cigarette abstinence was the primary outcome measure.

Results

Fifty-four percent of E-ISI participants entered the extended treatment intervention; E-ISI and STC differed at 3 months on abstinence status but not at months 6, 12, and 18. E-ISI participants were more likely to attempt to quit, to have a goal of complete abstinence, and to be in a more advanced stage of change than STC participants. A higher number of cigarettes smoked and the use of cannabis in the previous 30 days predicted continued smoking

Conclusions

The E-ISI was successful in increasing motivation to quit smoking but did not result in long-term abstinence. The failure of treatments that have been efficacious in the general population to produce abstinence in patients receiving MAT of opioid use disorder suggests that harm reduction and other innovative interventions should be explored.

Implications

This study demonstrates that an intervention combining motivational interviewing with an extended treatment protocol can increase cigarette quit attempts, enhance cigarette abstinence goals, and further movement through stages of change about quitting smoking in patients receiving MAT for opioid use disorder who smoke cigarettes. The intervention did not increase abstinence rates over those observed in a standard treatment control, however. The latter finding supports those of earlier investigators who also failed to find efficacy for smoking cessation in this population and who also used interventions effective in the general population. This pattern of findings suggests that patients with opioid use disorder can be motivated to change smoking behavior, but alternative and innovative approaches to cigarette smoking treatment should be studied.

The Time-Varying Relations Between Risk Factors and Smoking Before and After a Quit Attempt

Introduction

Intensive longitudinal data (ILD) collected with ecological momentary assessments (EMAs) can provide a rich resource for understanding the relations between risk factors and smoking in the time surrounding a cessation attempt.

Methods

Participants (N = 142) were smokers seeking treatment at a safety-net hospital smoking cessation clinic who were randomly assigned to receive standard clinic care (ie, counseling and cessation medications) or standard care plus small financial incentives for biochemically confirmed smoking abstinence. Participants completed EMAs via study provided smartphones several times per day for 14 days (1 week prequit through 1 week postquit). EMAs assessed current contextual factors including environmental (eg, easy access to cigarettes, being around others smoking), cognitive (eg, urge to smoke, stress, coping expectancies, cessation motivation, cessation self-efficacy, restlessness), behavioral (ie, recent smoking and alcohol consumption), and affective variables. Temporal relations between risk factors and smoking were assessed using a logistic time-varying effect model.

Results

Participants were primarily female (57.8%) and Black (71.8%), with an annual household income of <$20000 per year (71.8%), who smoked 17.6 cigarettes per day (SD = 8.8). Individuals assigned to the financial incentives group had decreased odds of smoking compared with those assigned to usual care beginning 3 days before the quit attempt and continuing throughout the first week postquit. Environmental, cognitive, affective, and behavioral variables had complex time-varying impacts on smoking before and after the scheduled quit attempt.

Conclusions

Knowledge of time-varying effects may facilitate the development of interventions that target specific psychosocial and behavioral variables at critical moments in the weeks surrounding a quit attempt.

Implications

Previous research has examined time-varying relations between smoking and negative affect, urge to smoke, smoking dependence, and certain smoking cessation therapies. We extend this work using ILD of unexplored variables in a socioeconomically disadvantaged sample of smokers seeking cessation treatment. These findings could be used to inform ecological momentary interventions that deliver treatment resources (eg, video- or text-based content) to individuals based upon critical variables surrounding their attempt.

The visibility of smoking in Europe and its relationship with youth's positive beliefs about smoking

Objectives

To determine adolescent-reported visibility of smoking in different public and private spaces in Europe and associations between smoking visibility and beliefs about the benefits of smoking.

Methods

We used SILNE-R cross-sectional survey data (2016/2017) of 10,798 14–16-year-old students from 55 secondary schools in seven European cities. Respondents reported for private and public spaces whether they had seen others smoke there in the last 6 months. Beliefs about the benefits of smoking were measured on a 7-item scale; higher scores indicated more positive beliefs. Multilevel linear regression analyses determined associations while controlling for potential confounders and stratifying by smoking status.

Results

Most students reported observing others smoke in public spaces, especially at train/bus stations (84%). Positive beliefs about smoking of never smokers were positively associated with seeing others smoke in train/bus stations and leisure/sports facilities, but not at home, a friend’s home, restaurants or bars, when fully adjusted. Associations were of similar magnitude for ever smokers.

Conclusions

Smoking in several public places is highly visible to adolescents. Reducing this visibility might weaken positive beliefs that adolescents have about smoking.

Electronic supplementary material

The online version of this article (10.1007/s00038-019-01288-z) contains supplementary material, which is available to authorized users.

Beneath the surface: Abstract construal mindset increases receptivity to metaphors in health communications

Widespread messages use metaphoric language and imagery to prompt recipients to interpret health-related concepts in terms of dissimilar, familiar concepts (e.g., "fight the war on cancer"). When do these messages work? According to Conceptual Metaphor Theory, thinking metaphorically involves looking past concepts' superficial differences to identify their similarities at a structural level. Thus, we hypothesized that when people's general construal mindset is oriented to focus on information's abstract meaning, not its concrete details, they would process a metaphor's target health concept in ways that correspond to the dissimilar concept. Accordingly, after priming an abstract, but not concrete, construal mindset: framing sun exposure as enemy confrontation (vs. literally) increased cancer risk perceptions and sun-safe intentions (Study 1; N=186); and framing smoking cessation as an arduous journey (vs. literally) increased appreciation of quitting difficulties and interest in cessation tools (Study 2; N=244). We discuss practical and theoretical implications for improving health communication.

Assessing Change Over Time in Voice Handicap and Voice-Related Perceived Control Using Ecological Momentary Assessment

OBJECTIVES

Voice handicap has generally been measured at a single timepoint. Little is known about its variability from hour to hour or day to day. Voice handicap has been shown to be negatively related to voice-related perceived control in cross-sectional studies, but the within-person variability in voice-related perceived control is also unknown. We aimed to use ecological momentary assessment (EMA) to (1) assess the feasibility of EMA to examine daily voice handicap and voice-related perceived control in patients with voice disorders, (2) measure within-person variability in daily voice handicap and perceived control, and (3) characterize temporal associations (eg, correlations over time) between daily voice handicap and perceived control.

METHODS

Adults with voice problems were recruited from a large public university medical center in the Midwest. They completed baseline measures, followed by twice-daily assessments, including selected items measuring voice handicap and perceived control, and then repeated the baseline measures at the final timepoint. Feasibility was assessed via completion rates. Within-person variability was measured using standard deviations. Temporal associations were characterized using simulation modeling analysis.

RESULTS

EMA of voice handicap and perceived control was feasible in this patient population. Momentary voice handicap varied more than perceived control, though both were variable. Multiple patterns of temporal associations between daily voice handicap and perceived control were found.

CONCLUSIONS

These findings identified important variability in (1) measures of voice handicap and perceived control and (2) their associations over time. Future EMA studies in patients with voice disorders are both feasible and warranted.