Advancing the understanding of craving during smoking cessation attempts: a demonstration of the time-varying effect model

Modelling Age-Varying Associations among Group Memberships, Neighborhood Connectedness, and Well-Being

Individuals who maintain group memberships in their community tend to experience improved well-being relative to those who participate in few or no groups. There are, however, few investigations targeting variability in the correlates of group membership across the lifespan. The present examination probed age-related variability in the association between group memberships and subjective connectedness as well as well-being. Participants included 3,940 (mean age = 45.61 years, standard deviation [SD] = 15.62) Canadian and American respondents who completed an online survey during August of 2020 (i.e., amidst the COVID-19 pandemic). Time-varying effects modelling was used to estimate coefficients for group membership at each age within the sample. Memberships in social groups positively predicted connectedness, and this association was strongest in middle-to-older age; a similar association was also evident when predicting well-being. Connectedness was also a positive predictor of well-being throughout most ages. These findings build on emerging research conveying how group memberships have significance for people currently in middle-to-older age.

Modeling Idiographic Longitudinal Relationships between Affect and Cigarette Use: An Ecological Momentary Assessment Study

Background: Despite public knowledge of the adverse health effects of tobacco use, cigarettes remain widely used due to the addictive nature of nicotine. Physiologic adaptation to the presence of nicotine over time leads to unpleasant effects during withdrawal periods. Alongside these physiological effects, tobacco users often report changes in their consumption of tobacco in response to their emotional state. Objectives: We hypothesized that idiographic, or person-specific level, increases in participants' negative affect (NA) and positive affect (PA) ratings at a given time point would be associated with higher and lower craving and smoking over the following several hours, respectively. Fifty-two participants completed block randomized ecological momentary assessment surveys on their smartphones 4 times per day for 30 days, reporting from 0-100 their level of seven discrete emotions, stress, current craving, and smoking behavior. We analyzed the relationships between affect and smoking and craving using idiographic generalized linear models. Results: While some participants exhibited the hypothesized relationships, each participant varied in the strength and direction of the relationships between affect and craving/smoking. These outcomes were partially moderated at the group level by anxiety/depression at baseline, but not by level of nicotine dependence or sex. Conclusions: This suggests that the factors driving cigarette use vary significantly between individuals.

Age- and Sex-Varying Associations Between Depressive Symptoms and Substance Use from Modal Ages 35 to 55 in a National Sample of U.S. Adults

It is important to examine normative age-related change in substance use risk factors across the lifespan, with research focusing on middle adulthood particularly needed. The current study examined time-varying associations between depressive symptoms and alcohol, cigarette, and marijuana use from modal ages 35 to 55 in a national sample of US adults, overall and by sex. Data were obtained from 11,147 individuals in the longitudinal Monitoring the Future study. Participants were in 12th grade (modal age 18) in 1976-1982 and (for the data reported in this study) were surveyed again at modal ages 35 (in 1993-1999), 40, 45, 50, and 55 (in 2013-2019). Weighted time-varying effect modeling was used to examine age-related change in associations among depressive symptoms, any and heavy use of cigarettes, alcohol, and marijuana. Across midlife, greater depressive symptoms were associated with decreased odds of any alcohol use during the 40 s and 50 s, but with increased odds of binge drinking from ages 35-40, and-at most ages-any and pack + cigarette use and any and frequent marijuana use. The association between depressive symptoms and substance use was generally similar for men and women. Results highlight the increased risk for binge drinking, smoking, and marijuana with higher levels of depressive symptoms and underscore the importance of screening and interventions for depressive symptoms and substance use in midlife.

Timing is everything: Developmental changes in the associations between intergroup contact and bias

Identifying developmental patterns in intergroup contact and its relation with bias is crucial for improving prevention strategies around intergroup relations. This study applied time-varying effects modeling (TVEM) to examine age-based changes in relations between contact and bias in a divided community that included 667 youth (M age = 15.74, SD = 1.97) from Belfast, Northern Ireland, a conflict-affected setting. The results suggest no change in the relation between contact frequency and bias; however, the relation between contact quality and bias increases from ages 10-14 and then levels off. Differences between Catholics, the historic minority group, and Protestants, the historic majority group, also emerged. The article concludes with implications for future research and interventions for youth growing up amid conflict.

Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies

Objective

Insufficient engagement is a critical barrier impacting the utility of digital interventions and mobile health assessments. As a result, engagement itself is increasingly becoming a target of studies and interventions. The purpose of this study is to investigate the dynamics of engagement in mobile health data collection by exploring whether, how, and why response to digital self-report prompts change over time in smoking cessation studies.

Method

Data from two ecological momentary assessment (EMA) studies of smoking cessation among diverse smokers attempting to quit (N = 573) with a total of 65,974 digital self-report prompts. We operationalize engagement with self-reporting in term of prompts delivered and prompt response to capture both broad and more granular engagement in self-reporting, respectively. The data were analyzed to describe trends in prompt delivered and prompt response over time. Time-varying effect modeling (TVEM) was employed to investigate the time-varying effects of response to previous prompt and the average response rate on the likelihood of current prompt response.

Results

Although prompt response rates were relatively stable over days in both studies, the proportion of participants with prompts delivered declined steadily over time in one of the studies, indicating that over time, fewer participants charged the device and kept it turned on (necessary to receive at least one prompt per day). Among those who did receive prompts, response rates were relatively stable. In both studies, there is a significant, positive and stable relationship between response to previous prompt and the likelihood of response to current prompt throughout all days of the study. The relationship between the average response rate prior to current prompt and the likelihood of responding to the current prompt was also positive, and increasing with time.

Conclusion

Our study highlights the importance of integrating various indicators to measure engagement in digital self-reporting. Both average response rate and response to previous prompt were highly predictive of response to the next prompt across days in the study. Dynamic patterns of engagement in digital self-reporting can inform the design of new strategies to promote and optimize engagement in digital interventions and mobile health studies.

Companion: A Pilot Randomized Clinical Trial to Test an Integrated Two-Way Communication and Near-Real-Time Sensing System for Detecting and Modifying Daily Inactivity among Adults >60 Years-Design and Protocol

Supervised personal training is most effective in improving the health effects of exercise in older adults. Yet, low frequency (60 min, 1-3 sessions/week) of trainer contact limits influence on behavior change outside sessions. Strategies to extend the effect of trainer contact outside of supervision and that integrate meaningful and intelligent two-way communication to provide complex and interactive problem solving may motivate older adults to "move more and sit less" and sustain positive behaviors to further improve health. This paper describes the experimental protocol of a 16-week pilot RCT (N = 46) that tests the impact of supplementing supervised exercise (i.e., control) with a technology-based behavior-aware text-based virtual "Companion" that integrates a human-in-the-loop approach with wirelessly transmitted sensor-based activity measurement to deliver behavior change strategies using socially engaging, contextually salient, and tailored text message conversations in near-real-time. Primary outcomes are total-daily and patterns of habitual physical behaviors after 16 and 24 weeks. Exploratory analyses aim to understand Companion's longitudinal behavior effects, its user engagement and relationship to behavior, and changes in cardiometabolic and cognitive outcomes. Our findings may allow the development of a more scalable hybrid AI Companion to impact the ever-growing public health epidemic of sedentariness contributing to poor health outcomes, reduced quality of life, and early death.

Evaluating Treatment Mechanisms of Varenicline: Mediation by Affect and Craving

INTRODUCTION

Negative reinforcement models posit that relapse to cigarette smoking is driven in part by changes in affect and craving during the quit attempt. Varenicline may aid cessation by attenuating these changes; however, this mediational pathway has not been formally evaluated in placebo-controlled trials. Thus, trajectories of negative affect (NA), positive affect (PA), and craving were tested as mediators of the effect of varenicline on smoking cessation.

AIMS AND METHODS

Secondary data analysis was conducted on 828 adults assigned to either varenicline or placebo in a randomized controlled trial for smoking cessation (NCT01314001). Self-reported NA, PA, and craving were assessed 1-week pre-quit, on the target quit day (TQD), and 1 and 4 weeks post-TQD.

RESULTS

Across time, NA peaked 1-week post-quit, PA did not change, and craving declined. Less steep rises in NA (indirect effect 95% CI: .01 to .30) and lower mean craving at 1-week post-quit (CI: .06 to .50) were mediators of the relationship between varenicline and higher cessation rates at the end of treatment. PA was associated with cessation but was not a significant mediator.

CONCLUSIONS

These results partially support the hypothesis that varenicline improves smoking cessation rates by attenuating changes in specific psychological processes and supported NA and craving as plausible treatment mechanisms of varenicline.

IMPLICATIONS

The present research provides the first evidence from a placebo-controlled randomized clinical trial that varenicline's efficacy is due, in part, to post-quit attenuation of NA and craving. Reducing NA across the quit attempt and craving early into the attempt may be important treatment mechanisms for effective interventions. Furthermore, post-quit NA, PA, and craving were all associated with relapse and represent treatment targets for future intervention development.

Time-Varying Mediation of Pharmacological Smoking Cessation Treatments on Smoking Lapse via Craving, Cessation Fatigue, and Negative Mood

INTRODUCTION

The addictive nature of nicotine makes smoking cessation an extremely challenging process. With prolonged exposure, tobacco smoking transforms from being a positive reinforcer to a negative one, as smoking is used to mitigate aversive withdrawal symptoms. Studying the variations in withdrawal symptoms, especially during their peak in the first week of a quit attempt, could help improve cessation treatment for the future. The time-varying mediation model effectively studies whether altering withdrawal symptoms act as mediators in the pathway between treatment and cessation.

AIMS AND METHODS

This secondary data analysis of a randomized clinical smoking cessation trial of three pharmacotherapy regimens (nicotine patch, varenicline, and nicotine patch + mini-lozenge) analyzes ecological momentary assessment (EMA) data from the first 4 weeks post-target quit day (TQD). We assess whether withdrawal symptoms (eg, negative mood, cessation fatigue, and craving) mediate the pathway between pharmacotherapy and daily smoking status and whether this effect varies over time.

RESULTS

We found a statistically significant time-varying mediation effect of varenicline on smoking status through craving, which shows decreasing risk of lapse via reduction in craving. We did not find significant time-varying mediation effects through negative mood and cessation fatigue.

CONCLUSIONS

This study supports the importance of craving suppression in the smoking cessation process. It also helped identify specific timepoints when withdrawal symptoms increased that would likely benefit from targeted cessation intervention strategies.

IMPLICATIONS

This study aimed to understand the underlying dynamic mechanisms of the smoking cessation process using a new analytical approach that capitalizes on the intensive longitudinal data collected via EMAs. The findings from this study further elucidate the smoking cessation process and provide insight into behavioral intervention targets and the timing of such interventions through the estimation of time-varying mediation effects.

Age as a Dynamic Moderator of Relations between Exposure to Political Conflict and Mental Health in Belfast, Northern Ireland

Identifying how, when, and under what conditions exposure to political conflict is associated with youth mental health problems is critical to developing programming to help youth exposed to various forms of political violence. The current study uses Time Varying Effects Modeling (TVEM) to examine how relations between exposure to ethno-politically motivated antisocial behavior and mental health problems change as a function of age in a sample of youth from Belfast, Northern Ireland. Young people (N = 583, M_age 16.51 wave 1, 17.23 wave 2) self-reported their exposure to sectarian antisocial behavior, nonsectarian antisocial behavior, and mental health problems as part of a longitudinal study of youth across multiple neighborhoods in Belfast. The results suggest mental health problems and associations with exposure to sectarian antisocial behavior change in nonlinear patterns throughout adolescence, with the strongest links between exposure to political conflict and mental health between ages 16 and 19. Significant relations between nonsectarian antisocial behavior and mental health problems were not indicated for the full sample but the results suggested a relation emerged in later adolescence for Protestant youth, the historical majority group. The value of this exploratory approach to examining relations between key context and psychological variables for youth in contexts of political tension and violence is discussed.

Age-Varying Associations between Child Maltreatment, Depressive Symptoms, and Frequent Heavy Episodic Drinking

Child maltreatment represents a prevalent public health issue that has been shown to predict both adolescent and young adult depressive symptoms and heavy episodic drinking; however, little is known regarding how associations between specific types of maltreatment (e.g., physical abuse, sexual abuse, care neglect, supervisory neglect) and depressive symptoms and heavy episodic drinking change across adolescence and into young adulthood. Similarly, there is lack of research that has examined how an accumulation of child maltreatment types relates to depressive symptoms and heavy episodic drinking across ages. Time-varying effect models-a statistical approach that allows researchers to pinpoint specific ages where the association between two variables is strongest-were used in the current study to address these gaps. Nationally representative data came from the first four waves of the National Longitudinal Study of Adolescent to Adult Health (Add Health; N = 16,053; 49.4% female; 51.0% European American/White, 21.0% African American, 10.2% Biracial, 9.1% Hispanic; MAGE W1 = 17.00). Results suggested that certain types of maltreatment are more predictive of negative outcomes than others and that different types of maltreatment confer greater risk in different developmental periods. In addition, while victims of between one and three types of maltreatment had comparable prevalence of depressive symptoms and heavy episodic drinking across adolescence and young adulthood, victims of four types of maltreatment had a much higher prevalence of these outcomes indicating the extreme risk that accompanies an accumulation of maltreatment.

Daily Food Insecurity Predicts Lower Positive and Higher Negative Affect: An Ecological Momentary Assessment Study

Food insecurity (FI) is a dynamic phenomenon, and its association with daily affect is unknown. We explored the association between daily FI and affect among low-income adults during a 2-seasonal-month period that covered days both pre- and during the COVID-19 pandemic. A total of 29 healthy low-income adults were recruited during fall in 2019 or 2020, 25 of whom were followed in winter in 2020 or 2021. Daily FI (measured once daily) and affect (measured 5 times daily) were collected over the 2nd−4th week in each month. Time-Varying-Effect-Models were used to estimate the association between daily FI and positive/negative affect (PA/NA). Overall, 902 person-days of daily-level data were collected. Daily FI was associated with lower PA in the 3rd and 4th week of fall and winter and with higher NA in the second half of winter months. Similar patterns of FI-affect relations were found pre- and during COVID-19 in the second half of a given month, while unique patterns of positive affect scores in the 2nd week and negative scores in the 1st week were only observed during COVID days. Our study supports a time-varying association between FI and affect in low-income adults. Future large studies are needed to verify the findings; ultimately, better understanding such associations may help identify, target, and intervene in food insecure adults to prevent adverse mental health outcomes.

Structure and trends of externalizing and internalizing psychiatric symptoms and gender differences among adolescents in the US from 1991 to 2018

PURPOSE

We aimed to estimate the structure of internalizing and externalizing symptoms and potential time dynamics in their association. This is understudied among adolescents, despite increasing internalizing and decreasing externalizing symptoms in recent years.

METHODS

We analyzed data from US Monitoring the Future cross-sectional surveys (1991-2018) representative of school-attending adolescents (N = 304,542). Exploratory factor analysis using maximum likelihood estimation method and promax rotation resulted in a two-factor solution (factor correlation r = 0.24) that differentiated eight internalizing and seven conduct-related externalizing symptoms. Time-varying effect modification linear regression models estimated the association between standardized internalizing and externalizing symptoms factor scores over time overall and by gender.

RESULTS

In 2012, trends in average factor scores diverged for internalizing and externalizing factors. The average standardized internalizing factor score increased from - 0.03 in 2012 to 0.06 in 2013 and the average externalizing factor score decreased from - 0.06 in 2011 to - 0.13 in 2012. We found that for every one-unit increase in standardized internalizing factor score, standardized externalizing factor score increased by 0.224 units in 2010 (95% CI: 0.215, 0.233); the magnitude of this increase was 22.3% lower in 2018 (i.e., 0.174 units; 95% CI: 0.160, 0.188). Decoupling of internalizing and externalizing symptoms began earlier among boys (~ 1995) than among girls (~ 2010).

CONCLUSION

The decoupling of internalizing and externalizing symptoms among adolescents suggests that changes in the prevalence of shared risk factors for adolescent psychiatric symptoms affect these dimensions in opposing directions, raising the importance of considering symptoms and their risk factors together in prevention and intervention efforts.

Dynamic models of stress-smoking responses based on high-frequency sensor data

Self-reports indicate that stress increases the risk for smoking; however, intensive data from sensors can provide a more nuanced understanding of stress in the moments leading up to and following smoking events. Identifying personalized dynamical models of stress-smoking responses can improve characterizations of smoking responses following stress, but techniques used to identify these models require intensive longitudinal data. This study leveraged advances in wearable sensing technology and digital markers of stress and smoking to identify person-specific models of stress and smoking system dynamics by considering stress immediately before, during, and after smoking events. Adult smokers (n = 45) wore the AutoSense chestband (respiration-inductive plethysmograph, electrocardiogram, accelerometer) with MotionSense (accelerometers, gyroscopes) on each wrist for three days prior to a quit attempt. The odds of minute-level smoking events were regressed on minute-level stress probabilities to identify person-specific dynamic models of smoking responses to stress. Simulated pulse responses to a continuous stress episode revealed a consistent pattern of increased odds of smoking either shortly after the beginning of the simulated stress episode or with a delay, for all participants. This pattern is followed by a dramatic reduction in the probability of smoking thereafter, for about half of the participants (49%). Sensor-detected stress probabilities indicate a vulnerability for smoking that may be used as a tailoring variable for just-in-time interventions to support quit attempts.

Thinking about the past, present, and future: Time perspective and self-esteem in adolescents, young adults, middle-aged adults, and older adults

We examined time perspective and self-esteem in adolescents, young adults, middle-aged adults, and older adults. Time perspective was measured with scales that assess relative orientations and relationships among the past, present, and future. Age effects were examined with standard analytic strategies to determine categorical differences between age groups and with new statistical techniques designed to show continuous age patterns. Findings indicated that (1) thinking about the future was greatest for adolescents and young adults and lowest for middle-aged and older adults, and thinking about the present increased across ages; (2) fewer adolescents and middle-aged participants perceived that the time periods were interrelated compared to younger and older adults; and (3) across ages, a greater emphasis towards the past compared to other time periods was associated with lower self-esteem, whereas emphasizing the present and the future jointly was associated with higher self-esteem.

Day-level shifts in social contexts during youth cannabis use treatment

OBJECTIVE

Social context plays a critical role in youth cannabis use. Yet few studies have examined if and when social contexts shift during cannabis use treatment. This study examined daily shifts in youths' social contexts with the goal of characterizing how specific social contexts (e.g., time with cannabis-using friends or siblings) relate to cannabis craving and use during cannabis treatment.

METHOD

Participants were 65 cannabis users (51% male), ages 15-24 years, who participated in a double-blind randomized clinical trial that tested the effects of motivational enhancement and cognitive behavioral therapies plus either adjunctive pharmacotherapy or placebo on cannabis craving and use. Ecological momentary assessment (EMA) data, collected from a pre-randomization period through the completion of the six-week intervention, assessed youths' social contexts, cannabis use, and craving.

RESULTS

Time-varying effects models identified shifts in social contexts during treatment. Overall, time spent with cannabis-using friends and siblings decreased, where time spent with non-using friends or alone increased across the trial. Time with parents or non-using siblings was unchanged. Comparing the relative associations of social contexts with same-day craving and use, more time with cannabis-using friends and with siblings was uniquely associated with greater craving and use.

CONCLUSIONS

Social context is an important factor in youth substance-use treatment. While time spent with cannabis-using friends and siblings decreased over treatment for all participants, those who continued to spend time with using individuals reported greater craving and use. This research supports increased attention to shifting youths' social contexts to enhance treatment success. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Beyond abstinence and relapse II: momentary relationships between stress, craving, and lapse within clusters of patients with similar patterns of drug use

RATIONALE

Given that many patients being treated for opioid-use disorder continue to use drugs, identifying clusters of patients who share similar patterns of use might provide insight into the disorder, the processes that affect it, and ways that treatment can be personalized.

OBJECTIVES AND METHODS

We applied hierarchical clustering to identify patterns of opioid and cocaine use in 309 participants being treated with methadone or buprenorphine (in a buprenorphine-naloxone formulation) for up to 16 weeks. A smartphone app was used to assess stress and craving at three random times per day over the course of the study.

RESULTS

Five basic patterns of use were identified: frequent opioid use, frequent cocaine use, frequent dual use (opioids and cocaine), sporadic use, and infrequent use. These patterns were differentially associated with medication (methadone vs. buprenorphine), race, age, drug-use history, drug-related problems prior to the study, stress-coping strategies, specific triggers of use events, and levels of cue exposure, craving, and negative mood. Craving tended to increase before use in all except those who used sporadically. Craving was sharply higher during the 90 min following moderate-to-severe stress in those with frequent use, but only moderately higher in those with infrequent or sporadic use.

CONCLUSIONS

People who share similar patterns of drug-use during treatment also tend to share similarities with respect to psychological processes that surround instances of use, such as stress-induced craving. Cluster analysis combined with smartphone-based experience sampling provides an effective strategy for studying how drug use is related to personal and environmental factors.

Key Subgroup Differences in Age-Related Change From 18 to 55 in Alcohol and Marijuana Use: U.S. National Data

OBJECTIVE

This study examined age-related change in alcohol use, marijuana use, and the association between the two, from ages 18 to 55, in a national longitudinal sample.

METHOD

Data were from national Monitoring the Future study participants (N = 11,888) who were high school seniors in 1976-1980 and were eligible to respond to the age 55 survey in 2013-2017. Time-varying effect modeling was used to model past-30-day prevalence and associations between alcohol and marijuana across ages 18-55, overall and by sex, race/ethnicity, and college attendance.

RESULTS

Marijuana prevalence peaked at age 18 and was lowest in the late 40s; alcohol prevalence peaked at age 22 and was lowest in the early 40s. Associations between alcohol and marijuana use were strongest at age 18. Significant differences were observed by sex, race/ethnicity, and college attendance (e.g., women's use was lower and decreased faster in the late 30s than men's; White respondents' alcohol and marijuana use were higher and peaked before Black respondents'; compared with non-attenders, college attenders' use was higher for alcohol but lower for marijuana). The alcohol and marijuana use association was strongest at ages 18-20 for most subgroups, except Black respondents, for whom the association was strongest at age 30.

CONCLUSIONS

Longitudinal data showed patterns of alcohol and marijuana use across adulthood. Such patterns highlight sociodemographic risk factors across the life span, ages that should be targeted for clinician awareness and intervention efforts, and populations at particular risk of harm from alcohol and marijuana co-use during adulthood.

Key Subgroup Differences in Age-Related Change From 18 to 55 in Alcohol and Marijuana Use: U.S. National Data

OBJECTIVE

This study examined age-related change in alcohol use, marijuana use, and the association between the two, from ages 18 to 55, in a national longitudinal sample.

METHOD

Data were from national Monitoring the Future study participants (N = 11,888) who were high school seniors in 1976-1980 and were eligible to respond to the age 55 survey in 2013-2017. Time-varying effect modeling was used to model past-30-day prevalence and associations between alcohol and marijuana across ages 18-55, overall and by sex, race/ethnicity, and college attendance.

RESULTS

Marijuana prevalence peaked at age 18 and was lowest in the late 40s; alcohol prevalence peaked at age 22 and was lowest in the early 40s. Associations between alcohol and marijuana use were strongest at age 18. Significant differences were observed by sex, race/ethnicity, and college attendance (e.g., women's use was lower and decreased faster in the late 30s than men's; White respondents' alcohol and marijuana use were higher and peaked before Black respondents'; compared with non-attenders, college attenders' use was higher for alcohol but lower for marijuana). The alcohol and marijuana use association was strongest at ages 18-20 for most subgroups, except Black respondents, for whom the association was strongest at age 30.

CONCLUSIONS

Longitudinal data showed patterns of alcohol and marijuana use across adulthood. Such patterns highlight sociodemographic risk factors across the life span, ages that should be targeted for clinician awareness and intervention efforts, and populations at particular risk of harm from alcohol and marijuana co-use during adulthood.

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).

Individual differences in the influence of taste and health impact successful dietary self-control: A mouse tracking food choice study in children

In order to improve dietary quality among children, there is a need to understand how they make decisions about what foods to eat. This study used a mouse tracking food choice task to better understand how attributes such as health and taste contribute to food decisions among 70 children aged 7-to-11 years old. Children rated health, taste, and desire to eat for 76 common foods that varied in energy density and then used a computer mouse to select which of two presented foods they would like to eat. The presented food pairs were based on children's own ratings of taste and health so that some trials required self-control to choose the healthier option (i.e., healthy/not tasty paired with unhealthy/tasty). Children's body mass index (BMI) percentile was not associated with number of healthy choices. To examine mouse trajectories, we replicated previous analytic techniques and applied a novel technique, time-varying effects modeling (TVEM). Results showed that desire to eat impacted food decision-making sooner than taste and health during trials that required self-control, with TVEM showing that early discounting of desire to eat enabled healthier choices. However, these temporal dynamics varied by age, BMI percentile, and overall self-control performance in the task. When the less healthy food was chosen (i.e., self-control failure), older children and children with better overall self-control were more influenced by taste and desire to eat. However, children with higher BMI percentiles showed stronger discounting (i.e., negative influence) of taste when choosing the healthier food. Together this highlights how the influence of hedonic food attributes on food decision-making varies by individual child-level characteristics. Understanding individual differences in the cognitive processes that support healthy food choices in children may help identify targets for interventions aimed at improving child nutrition.

Diverging Trends in the Relationship Between Binge Drinking and Depressive Symptoms Among Adolescents in the U.S. From 1991 Through 2018

PURPOSE

From 1991 to 2018, binge drinking among U.S. adolescents has precipitously declined; since 2012, depressive symptoms among U.S. adolescents have sharply increased. Binge drinking and depressive symptoms have historically been correlated, thus understanding whether there are dynamic changes in their association informs prevention and intervention.

METHODS

Data were drawn from the U.S. nationally representative cross-sectional Monitoring the Future surveys (1991-2018) among school-attending 12th-grade adolescents (N = 58,444). Binge drinking was measured as any occasion of more than five drinks/past 2 weeks; depressive symptoms were measured with four items (e.g., belief that life is meaningless or hopeless), dichotomized at 75th percentile. Time-varying effect modeling was conducted by sex, race/ethnicity, and parental education.

RESULTS

In 1991, adolescents with high depressive symptoms had 1.74 times the odds of binge drinking (95% confidence interval 1.54-1.97); by 2018, the strength of association between depressive symptoms and binge drinking among 12th-grade adolescents declined 24% among girls and 25% among boys. There has been no significant relation between depressive symptoms and binge drinking among boys since 2009; among girls, the relationship has been positive throughout most of the study period, with no significant relationship from 2016 to 2017.

CONCLUSIONS

Diverging trends between depressive symptoms and alcohol use among youth are coupled with declines in the strength of their comorbidity. This suggests that underlying drivers of recent diverging population trends are likely distinct and indicates that the nature of comorbidity between substance use and mental health may need to be reconceptualized for recent and future cohorts.

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.

Investigating how perceived risk and availability of marijuana relate to marijuana use among adolescents in Argentina, Chile, and Uruguay over time

AIMS

Amid changing marijuana policies in the Southern Cone, we examined relationships between marijuana-related risk factors and marijuana use among adolescents in Argentina, Chile, and Uruguay from 2001 to 2016.

METHODS

Using cross-sectional surveys from 8^th, 10^th, and 12^th graders and weighted time-varying effect models, we estimated associations between perceived risk (no/low risk versus moderate/great risk) and perceived availability (easy/very easy versus difficult/very difficult/not able to obtain) of marijuana, and any past-month marijuana use.

RESULTS

In all countries, marijuana use increased over time and adolescents who perceived no/low risk and easy availability had higher odds of use. In Argentina, the bivariate risk/use association weakened from 2001 (OR = 15.24, 95%CI = 9.63, 24.12) to 2004 [OR = 3.86 (2.72, 5.48)] and strengthened until 2011 [OR = 8.22 (7.56, 10.30)]; the availability/use association strengthened from 2005 [OR = 5.32 (4.05, 6.98)] to 2009 [OR = 20.77 (15.57, 27.70)] and weakened until 2014 [OR = 11.00 (9.11, 13.27)]. In Chile, the risk/use association weakened from 2001 [OR = 7.22 (6.57, 7.95)] to 2015 [OR = 5.58 (4.82, 6.48)]; the availability/use association weakened from 2001 [OR = 5.92 (4.96, 7.06)] to 2015 [OR = 4.10 (3.15, 5.34)]. In Uruguay, the risk/use association weakened from 2003 [OR = 34.22 (22.76, 51.46)] to 2016 [OR = 6.23 (4.96, 7.83)]; the availability/use association weakened from 2005 [OR = 29.13 (13.39, 63.39) to 2007 [OR = 9.42 (3.85, 23.07)], and strengthened until 2016 [OR = 22.68 (12.03, 42.76)].

CONCLUSIONS

Overall, the association between risk and use weakened in all countries, suggesting risk perceptions became a weaker determinant of marijuana use. Perceived availability remained strongly associated with use and may become an increasingly important driver of use (particularly in Uruguay and Argentina).

Time-varying moderation of treatment outcomes by illness duration and comorbid depression in generalized anxiety disorder

OBJECTIVE

To extend the sparse literature on moderators, we used time-varying effect modeling (TVEM; Tan, Shiyko, Li, Li, & Dierker, 2012) to examine how depressive symptoms and duration of generalized anxiety disorder (GAD) moderated effects of 3 treatments for GAD (applied relaxation [AR], cognitive-behavioral therapy [CBT], and nondirective therapy [ND]) over time using intensive repeated measures.

METHOD

In a secondary analysis of Borkovec and Costello (1993), 66 GAD clients were randomly assigned to AR (n = 23), CBT (n = 23), or ND (n = 20). Clients received 12 therapy sessions over 6 weeks, and after 2 weeks of posttreatment assessment, had 2 additional weekly fading sessions. They completed thrice daily anxiety ratings during this 10-week period. GAD duration (Anxiety Disorders Interview Schedule-Revised) and depressive symptoms (Hamilton Depression Rating Scale) were assessed at baseline.

RESULTS

Longer GAD duration predicted less anxiety reduction in CBT and ND relative to AR. These effects were pronounced in the later phase of treatment, suggesting benefits of focused relaxation practice for clients with longer duration. Higher depression predicted better response to CBT than AR and ND. The moderation effects were also more noticeable in the later phase. In multilevel analyses, a similar moderation pattern held at 1-year follow-up on clinician-rated measures.

CONCLUSION

GAD clients with long-standing symptoms may benefit more from repeatedly practicing fewer skills than learning multiple skills. On the other hand, clients with comorbid depression may respond better to CBT than AR, perhaps because CBT includes cognitive interventions that can generalize to depression. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Shifting Age of Peak Binge Drinking Prevalence: Historical Changes in Normative Trajectories Among Young Adults Aged 18 to 30

BACKGROUND

This study examined the extent to which the developmental pattern of prevalence of binge drinking in the past 2 weeks from ages 18 through 30 has changed across 29 cohorts of U.S. young adults, and whether the changes differed by gender.

METHODS

Analyses used national longitudinal data from 58,019 12th-grade students (from graduating high school classes 1976 to 2004) participating in the Monitoring the Future study followed through modal age 30 (with age 29/30 data collected from 1987 to 2016). Weighted time-varying effect modeling was used to model cohort group differences in age-related patterns of binge drinking.

RESULTS

The age of peak binge drinking prevalence increased across cohorts (from age 20 in 1976 to 1985 to 22 in 1996 to 2004 for women, and from 21 in 1976 to 1985 to 23 in 1996 to 2004 for men). Historical change in the developmental pattern of binge drinking across all ages of young adulthood differed for men and women. Even after controlling for key covariates, women in the more recent cohort group reported significantly higher binge drinking prevalence than women in earlier cohorts from ages 21 through 30. Men in the more recent cohort group reported higher binge drinking prevalence at ages 25 to 26, but prevalence levels then converged to those seen in earlier cohort groups by age 30.

CONCLUSIONS

An older age of peak binge drinking and a decreased rate of decline in the prevalence of binge drinking in later young adulthood among more recent cohorts have resulted in an extension of individual and societal risks associated with binge drinking, particularly for women, across young adulthood. High-risk alcohol use prevention efforts are needed throughout at least the third decade of life.

Reasons High School Students Use Marijuana: Prevalence and Correlations With Use Across Four Decades

OBJECTIVE

Changes in the legality and prevalence of marijuana raise questions about whether adolescents' reasons for using marijuana and associations between reasons for use and recent marijuana use have changed historically.

METHOD

Using nationally representative data from Monitoring the Future for 1976-2016 (N = 39,964; 47.6% female), we examined changes in self-reported reasons for marijuana use and in the associations between reasons for use and past-30-day marijuana use among 12th graders who used marijuana in the past 12 months.

RESULTS

Time-varying effect modeling showed variation in reasons for use among adolescent past-year marijuana users from 1976 to 2016. Social/recreational reasons for marijuana use (i.e., Boredom, Feel Good/Get High, Experiment, Fit In) generally declined in prevalence; the exception was Good Time, which remained quite stable. Prevalence of coping with negative affect reasons (i.e., Anger/Frustration, Escape Problems, Relax, Get Through Day) approximately doubled across 40 years. Over time, social/recreational reasons were consistently associated with greater odds (i.e., Boredom, Feel Good/Get High, Good Time) or lower odds (i.e., Experiment, Fit In) of recent marijuana use. Coping with negative affect reasons, drug effect reasons, and compulsive use were consistently associated with greater odds of recent use.

CONCLUSIONS

The most common reasons for marijuana use among high school students have shifted markedly in 40 years, with particular increases for coping-related reasons. However, reasons for use remain significant, stable predictors of use. This suggests a move toward riskier (coping-related) use but supports the continued salience of motivation-based approaches for prevention and intervention.

Flexibly modeling alcohol use disorder risk: How many drinks should we count?

Previous research has called the validity of the commonly used 4 +/5 + (women/men, respectively) definition for heavy episodic drinking (HED) into question. This definition does not allow researchers to capture the considerable heterogeneity among heavy, "at risk" drinkers. Spline regression methods were used to identify a flattening in the curve in the relationship between number of drinks consumed and prevalence of past-year alcohol use disorder (AUD). This analysis could identify the number of drinks above which no significant additional risk for AUD is conferred. Data were from the National Epidemiologic Survey on Alcohol and Related Conditions-III. The analytic sample consisted of young adult past-year drinkers (n = 6,422). Sex-specific drinking thresholds varied as a function of the number of drinks consumed during past-year typical and heaviest drinking occasions. For typical drinking, the risk for AUD continued to increase through approximately 10 (women) and 11 (men) drinks, after which AUD risk remained constant. That is, young adult drinkers experienced incremental risk for AUD through approximately a typical amount of 10 drinks, after which the risk for AUD plateaued. For heaviest drinking occasion, risk for AUD continued to increase for men and tapered for women around 14 drinks. There is incremental information gained at each level of drinking in predicting AUD, well beyond the traditional 4 +/5 + HED thresholds. Relying solely on this threshold may limit the understanding of serious harms that many young adults who drink at higher levels can experience. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Using the Social-Local-Mobile App for Smoking Cessation in the SmokeFreeBrain Project: Protocol for a Randomized Controlled Trial

Background

Smoking is considered the main cause of preventable illness and early deaths worldwide. The treatment usually prescribed to people who wish to quit smoking is a multidisciplinary intervention, combining both psychological advice and pharmacological therapy, since the application of both strategies significantly increases the chance of success in a quit attempt.

Objective

We present a study protocol of a 12-month randomized open-label parallel-group trial whose primary objective is to analyze the efficacy and efficiency of usual psychopharmacological therapy plus the Social-Local-Mobile app (intervention group) applied to the smoking cessation process compared with usual psychopharmacological therapy alone (control group).

Methods

The target population consists of adult smokers (both male and female) attending the Smoking Cessation Unit at Virgen del Rocío University Hospital, Seville, Spain. Social-Local-Mobile is an innovative intervention based on mobile technologies and their capacity to trigger behavioral changes. The app is a complement to pharmacological therapies to quit smoking by providing personalized motivational messages, physical activity monitoring, lifestyle advice, and distractions (minigames) to help overcome cravings. Usual pharmacological therapy consists of bupropion (Zyntabac 150 mg) or varenicline (Champix 0.5 mg or 1 mg). The main outcomes will be (1) the smoking abstinence rate at 1 year measured by means of exhaled carbon monoxide and urinary cotinine tests, and (2) the result of the cost-effectiveness analysis, which will be expressed in terms of an incremental cost-effectiveness ratio. Secondary outcome measures will be (1) analysis of the safety of pharmacological therapy, (2) analysis of the health-related quality of life of patients, and (3) monitoring of healthy lifestyle and physical exercise habits.

Results

Of 548 patients identified using the hospital’s electronic records system, we excluded 308 patients: 188 declined to participate and 120 did not meet the inclusion criteria. A total of 240 patients were enrolled: the control group (n=120) will receive usual psychopharmacological therapy, while the intervention group (n=120) will receive usual psychopharmacological therapy plus the So-Lo-Mo app. The project was approved for funding in June 2015. Enrollment started in October 2016 and was completed in October 2017. Data gathering was completed in November 2018, and data analysis is under way. The first results are expected to be submitted for publication in early 2019.

Conclusions

Social networks and mobile technologies influence our daily lives and, therefore, may influence our smoking habits as well. As part of the SmokeFreeBrain H2020 European Commission project, this study aims at elucidating the potential role of these technologies when used as an extra aid to quit smoking.

Trial Registration

ClinicalTrials.gov NCT03553173; https://clinicaltrials.gov/ct2/show/record/NCT03553173 (Archived by WebCite at http://www.webcitation.org/74DuHypOW).

International Registered Report Identifier (IRRID)

PRR1-10.2196/12464

Does cessation fatigue predict smoking-cessation milestones? A longitudinal study of current and former smokers

OBJECTIVE

Long-term abstinence can be undermined by cessation fatigue-an exhaustion of coping resources attributable to quitting smoking/staying quit. The current study examines the predictive validity of a Cessation Fatigue Scale (CFS; three subscales). Among current smokers, we hypothesized higher fatigue would predict longer latency to both quit initiation and achieving 7-day point prevalence abstinence (7-day PPA). Among recent quitters, we expected higher cessation fatigue would confer greater lapse/relapse risk. Lower rates of abstinence at 2-month follow-up were expected for those with higher fatigue.

METHOD

Current smokers motivated to quit in the next month (n = 301) and recent quitters (n = 242) were assessed biweekly over the course of 2 months. Retention rates were high (>85%). Cox and logistic regression analyses tested hypotheses.

RESULTS

Among smokers, greater emotional exhaustion predicted longer delay to achieving 7-day PPA (HR = .53, 95% CI [.40, -.68], p < .001) and lower likelihood of 7-day PPA at 2-month follow-up (OR = .27, 95% CI [.16, -.46], p < .001), even after controlling for nicotine dependence and motivation to quit. Among recent quitters, emotional exhaustion progressively increased over the first 6 weeks since quit initiation. Elevated exhaustion was associated with greater lapse (HR = 1.65, 95% CI [1.06, 2.56], p < .05) and relapse (HR = 2.33, 95% CI [1.37, 3.97], p < .01) risk, and lower likelihood of 7-day PPA at 2-month follow-up (OR = .39, 95% CI [.16, .94], p < .05), even after controlling for nicotine withdrawal and motivation to quit.

CONCLUSIONS

Cessation fatigue, as measured by the CFS's emotional exhaustion subscale, prospectively predicted important cessation milestones. Findings suggest that cessation fatigue is a novel process that undermines smoking cessation and a viable target for intervention. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Racial/ethnic differences in the time-varying association between alcohol expectancies and drinking during the transition from childhood to adolescence

Alcohol expectancies are important determinants of adolescent drinking, but this relationship may differ based on race/ethnicity. This study used time-varying effect modeling to examine racial/ethnic differences in positive and negative alcohol expectancies and their relationship with drinking among White, African American, and Hispanic youth. Youth reported alcohol expectancies and drinking frequency from 5th grade to 10th grade. African Americans initially endorsed higher positive alcohol expectancies than Whites, but the relationship with drinking was stronger among Whites. Hispanic youth reported slightly higher negative alcohol expectancies in high school, but the relationship between negative expectancies and alcohol use was comparable across groups. The effect of expectancies on alcohol use outcomes may be more robust for Whites, which warrants investigation of risk factors for minority youth.

Time-varying associations of racial discrimination and adjustment among Chinese-heritage adolescents in the United States and Canada

The aim of our study was twofold: to examine (a) whether the link between racial discrimination and adjustment showed age-related changes across early to late adolescence for Chinese-heritage youth and (b) whether the age-related associations of the discrimination–adjustment link differed by gender, nativity, and geographical region. We pooled two independently collected longitudinal data sets in the United States and Canada (N = 498, ages 12–19 at Wave 1) and used time-varying effect modeling to show that discrimination is consistently associated with poorer adjustment across all ages. These associations were stronger at certain ages, but for males and females, first- and second-generation adolescents, and US and Canadian adolescents they differed. There were stronger relations between discrimination and adjustment in early adolescence for males compared to females, in middle adolescence for first-generation compared to second-generation adolescents, and in early adolescence for US adolescents compared to Canadian adolescents. In general, negative implications for adjustment associated with discrimination diminished across the span of adolescence for females, second-generation, and US and Canadian adolescents, but not for males or first-generation adolescents. The results show that the discrimination–adjustment link must be considered with regard to age, gender, nativity, and region, and that attention to discrimination in early adolescence may be especially important.

The end of convergence in developmental patterns of frequent marijuana use from ages 18 to 30: An analysis of cohort change from 1976-2016

BACKGROUND

This study examines the extent to which the developmental pattern of frequent marijuana use prevalence from ages 18 to 30 (overall and by gender) has varied across historical time (cohort groups) using data from a national sample of US young adults.

METHODS

Self-reported data on frequent marijuana use (use on 20+ occasions in the past 30 days) from modal ages 18 to 30 were obtained from 58,059 individuals from 29 sequential cohorts (graduating high school classes of 1976-2004) participating in the Monitoring the Future study. Time-varying effect modeling was used to model cohort group differences in developmental patterns of frequent use overall and by gender.

RESULTS

Developmental patterns of frequent marijuana use prevalence varied meaningfully across cohort groups. Frequent use at age 18 differed significantly across cohort groups as expected based on national data. Among earlier cohort groups (reaching age 30 during 1987-2008), developmental patterns converged by age 30 to relatively low frequent marijuana use prevalence. In contrast, among cohort groups reaching age 30 during 2008-2016, frequent marijuana use at age 30 was significantly higher than all previous cohort groups. Observed cohort differences did not vary significantly by gender.

CONCLUSIONS

Cross-cohort convergence in developmental patterns of frequent marijuana use prevalence by age 30 was not observed among recent cohort groups, among whom age 30 frequent marijuana use prevalence was at the highest levels observed since the study began. Higher frequent marijuana use prevalence in late young adulthood has meaningful health risk and service provision implications.

Time-varying associations of parent-adolescent cultural conflict and youth adjustment among Chinese American families

The purpose of this study was to examine time-varying associations of parent-adolescent cultural conflict with depressive symptoms and grade point average (GPA) among Chinese Americans from ages 11-22. We pooled two independently collected longitudinal data sets (N = 760 at Wave 1) and used time-varying effect modeling (TVEM) to show that the frequency of parent-adolescent conflict increased during early adolescence (12 years), peaked at mid adolescence (16 years), and gradually decreased throughout late adolescence and young adulthood. In general, parent-adolescent conflict was associated with negative adjustment (more depressive symptoms and lower GPA) more strongly during mid- to late-adolescence (15 to 17 years) compared with other developmental periods. These time-varying associations differed slightly by gender, at least for GPA. Our findings provide important developmental knowledge of parent-adolescent conflict for Chinese American youth and suggest that attention to conflict and links to adjustment is especially relevant during mid to late adolescence. Our study also illustrates the usefulness of integrative data analysis and TVEM to investigate how the strength of conflict-adjustment associations might change throughout development. (PsycINFO Database Record

A pilot trial of text-delivered peer network counseling to treat young adults with cannabis use disorder

Approximately 1.8 million young adults aged 18 to 25 had a Cannabis Use Disorder (CUD) in the past year. Unfortunately, engaging young adults in treatment is very challenging. Creative approaches to treat cannabis disorders such as integrating mobile technology with evidence-based treatments are warranted. In light of these challenges, we developed a text message-delivered version of Peer Network Counseling (PNC-txt), which is a substance use intervention that focuses on peer relations. PNC-txt engages participants in 16 automated, personalized text interactions over 4weeks. We conducted a randomized controlled trial to test the efficacy of PNC-txt against a waitlist control group with 30 treatment seeking young adults (ages 18-25) who met DSM-5 criteria for CUD. Self-report and urine analyses were used to test outcomes at the three-month follow-up. The PNC-txt group significantly reduced their cannabis use related problems as well as cannabis cravings, compared to the control group. PNC-txt participants also had a significantly greater percentage with urines negative for cannabis metabolites compared to controls. Moderation analysis showed that CUD severity level moderated treatment, suggesting that PNC-txt is more effective for participants with medium and high levels of CUD severity. All effect sizes ranged from medium to large. Results from this pilot trial are promising and warrant further research on PNC-txt for addressing cannabis use disorder.

Advancing Analytic Approaches to Address Key Questions in Mechanisms of Behavior Change Research

OBJECTIVE

Interest in studying mechanisms of behavior change (MOBCs) in substance use disorder (SUD) treatments has grown considerably in the past two decades. Much of this work has focused on identifying which variables statistically mediate the effect of SUD treatments on clinical outcomes. However, a fuller conceptualization of MOBCs will require greater understanding of questions that extend beyond traditional mediation analysis, including better understanding of when MOBCs change during treatment, when they are most critical to aiding the initiation or maintenance of change, and how MOBCs themselves arise as a function of treatment processes.

METHOD

In the present study, we review why these MOBC-related questions are often minimally addressed in empirical research and provide examples of data analytic methods that may address these issues. We highlight several recent studies that have used such methods and discuss how these methods can provide unique theoretical insights and actionable clinical information.

RESULTS

Several statistical approaches can enhance the field's understanding of the timing and development of MOBCs, including growth-curve modeling, time-varying effect modeling, moderated mediation analysis, dynamic systems modeling, and simulation methods.

CONCLUSIONS

Adopting greater diversity in methods for modeling MOBCs will help researchers better understand the timing and development of key change variables and will expand the theoretical precision and clinical impact of MOBC research. Advances in research design, measurement, and technology are key to supporting these advances.

Depressive symptoms in the trajectory of craving during smoking cessation treatment: A latent growth curve model

BACKGROUND

Depressive symptoms and craving are related to smoking maintenance; however, little is known about the association between trajectories of depressive symptoms and smoking craving after quitting.

OBJECTIVES

We examined if depressive symptom change relates to change in craving following smoking cessation treatment.

METHODS

Participants were 362 (64.1% female; 35.9% male) adult treatment seeking smokers who quit smoking after treatment. Depressive symptoms and craving trajectories were evaluated during smoking cessation treatment until 6 months follow-up. A latent growth curve model was used to study the correlation between trajectories.

RESULTS

Depressive symptoms and smoking craving reduced significantly after quitting. Change in depressive symptoms was significantly related to change in craving symptoms over time.

CONCLUSIONS

Quitting smoking was related to a reduction in depressive symptoms and craving. Clinically, the reduction of depressive symptoms is associated with reduce craving. The data suggest depression plays an important role in craving change following treatment.

A Two Decade Examination of Historical Race/Ethnicity Disparities in Academic Achievement by Poverty Status

Research on achievement gaps by race/ethnicity and poverty status typically focuses on each gap separately, and recent syntheses suggest the poverty gap is growing while racial/ethnic gaps are narrowing. In this study, we used time-varying effect modeling to examine the interaction of race/ethnicity and poverty gaps in math and reading achievement from 1986-2005 for poor and non-poor White, Black, and Hispanic students in three age groups (5-6, 9-10, and 13-14). We found that across this twenty-year period, the gaps between poor White students and their poor Black and Hispanic peers grew, while the gap between non-poor Whites and Hispanics narrowed. We conclude that understanding the nature of achievement gaps requires simultaneous examination of race/ethnicity and income.

Anhedonia: Its Dynamic Relations With Craving, Negative Affect, and Treatment During a Quit Smoking Attempt

Introduction

Research shows that abstinence from tobacco leads to a withdrawal-related decrement in responsivity to nondrug rewards (ie, anhedonia). However, it remains unclear how anhedonia relates to other key withdrawal symptoms and withdrawal-related constructs over time. We analyzed ecological momentary assessment data to examine whether a decrement in response to rewards during a 10-day period following quitting shows a pattern of associations with other variables (ie, treatment, tobacco dependence, negative affect, and craving) that is consistent with anhedonia being a tobacco withdrawal symptom.

Methods

As part of a randomized controlled trial of smoking cessation therapies, 1122 adults (58% female) were assigned to: placebo (n = 131), bupropion (alone or with nicotine lozenge; n = 401), or nicotine replacement therapy (NRT; lozenge, patch, both; n = 590). Participants completed 4 ecological momentary assessments per day for 10 days postquit, resulting in 22 575 assessments.

Results

Time-varying effect modeling showed that anhedonia was significantly greater among those high in dependence relative to lower dependent smokers out to day 9 postquit. The placebo group showed elevated anhedonia immediately postquit, which fell to levels similar to the treatment groups by day 7. NRT effectively reduced anhedonia and its time-varying association with craving early in the quit attempt. The positive association between negative affect and anhedonia was moderate and stable over time for both active treatment groups.

Conclusions

These results provide additional support that anhedonia following quitting smoking is a manifestation of the tobacco withdrawal syndrome.

Implications

This study supported the hypothesis that diminished responsivity to nondrug rewards (ie, anhedonia) is a symptom of the tobacco withdrawal syndrome. Results showed that anhedonia: (1) was significantly associated with dependence, especially during the early postquit period when withdrawal was at its peak intensity; (2) showed significant time-varying associations with other withdrawal symptoms, especially craving; and (3) was significantly suppressed by agonist administration as was its association with craving over time.

Risk is still relevant: Time-varying associations between perceived risk and marijuana use among US 12th grade students from 1991 to 2016

BACKGROUND

Perceived risk of harm has long been a key preventive factor for adolescent marijuana use. However, in recent years, perceived risk has decreased markedly and marijuana use has increased only slightly, leading to new questions about their association. This study investigates the magnitude and stability of the US adolescent marijuana risk/use association from 1991 to 2016, overall and by gender and race/ethnicity.

METHODS

Self-reported data on past 12-month marijuana use, perceived risk of regular marijuana use, gender, and race/ethnicity were obtained from 275,768 US 12th grade students participating in the nationally representative Monitoring the Future study. Time-varying effect modeling (TVEM) was used to examine the marijuana risk/use association over time.

RESULTS

Both before and after controlling for gender and race/ethnicity, perceived risk was a strong protective factor against adolescent marijuana use. The magnitude of the great risk/use association strengthened for Hispanic students; remained generally stable over time for 12th graders overall, males, females, and White students; and weakened for Black students. The magnitude of the moderate risk/use association strengthened for 12th graders overall, males, females, White and Hispanic students, but did not continue to strengthen for Black students from 2005 onwards. In general, marijuana use prevalence decreased over time within all levels of perceived risk.

CONCLUSIONS

Perceived risk remains a strong protective factor for adolescent marijuana use, and the protective association for moderate risk (vs. no/slight risk) is actually increasing over time. Results suggest that accurate and credible information on the risks associated with marijuana use should remain a key component of prevention efforts.

Evaluating the effect of smoking cessation treatment on a complex dynamical system

OBJECTIVE

To understand the dynamic relations among tobacco withdrawal symptoms to inform the development of effective smoking cessation treatments. Dynamical system models from control engineering are introduced and utilized to evaluate complex treatment effects. We demonstrate how dynamical models can be used to examine how distinct withdrawal-related processes are related over time and how treatment influences these relations.

METHOD

Intensive longitudinal data from a randomized placebo-controlled smoking cessation trial (N=1504) are used to estimate a dynamical model of withdrawal-related processes including momentary craving, negative affect, quitting self-efficacy, and cessation fatigue for each of six treatment conditions (nicotine patch, nicotine lozenge, bupropion, patch + lozenge, bupropion + lozenge, and placebo).

RESULTS

Estimation and simulation results show that (1) withdrawal measurements are interrelated over time, (2) nicotine patch + nicotine lozenge showed reduced cessation fatigue and enhanced self-efficacy in the long-term while bupropion + nicotine lozenge was more effective at reducing negative affect and craving, and (3) although nicotine patch + nicotine lozenge had a better initial effect on cessation fatigue and self-efficacy, nicotine lozenge had a stronger effect on negative affect and nicotine patch had a stronger impact on craving.

CONCLUSIONS

This approach can be used to provide new evidence illustrating (a) the total impact of treatment conditions (via steady state values) and (b) the total initial impact (via rate of initial change values) on smoking-related outcomes for separate treatment conditions, noting that the conditions that produce the largest change may be different than the conditions that produce the fastest change.

Age trends in rates of substance use disorders across ages 18-90: Differences by gender and race/ethnicity

BACKGROUND

Although research has documented age differences in substance use, less is known about how prevalence of substance use disorders (SUDs) vary across age and differ by gender and race/ethnicity.

METHODS

Time-varying effect models (TVEMs) were estimated on data from the National Epidemiologic Survey of Alcohol and Related Conditions-III (NESARC III; N=36,309), a nationally representative survey of the adult population. The sample was 44% male; 53% White, 21% Black, 19% Hispanic/Latino, 6% other race/ethnicity. Prevalence of four SUDs (alcohol, tobacco, cannabis and opioid use disorders) were flexibly estimated across ages 18-90 by gender and race/ethnicity.

RESULTS

Estimated SUD prevalences were generally higher for men compared to women at most ages until the 70s. However, disparities by race/ethnicity varied with age, such that for most SUDs, estimated prevalences were higher for White participants at younger ages and Black participants at older ages.

DISCUSSION

Results suggest relatively constant disparities by gender across age, and a crossover effect for Black and White participants. Findings demonstrate that Black individuals in midlife may be an important target of intervention programs for some substances.

High-Intensity Drinking Versus Heavy Episodic Drinking: Prevalence Rates and Relative Odds of Alcohol Use Disorder Across Adulthood

BACKGROUND

Heavy episodic drinking (HED) or consuming 4+/5+ drinks in 1 occasion for women/men is linked consistently with alcohol-related harms. Recent research suggests that many individuals drink at levels more than twice this cutoff (8+/10+ drinks), commonly referred to as "high-intensity drinking." Prevalence rates of high-intensity drinking and its dynamic association with alcohol use disorder (AUD) across all ages, however, remain unknown. The current study used data from a nationally representative sample to document age-varying prevalence rates of HED-only drinking and high-intensity drinking, prevalence rates of AUD for HED-only drinkers and high-intensity drinkers, and relative odds of experiencing an AUD for high-intensity drinkers as compared to HED-only drinkers.

METHODS

Data were from the National Epidemiologic Survey on Alcohol and Related Conditions-III. The final analytic sample consisted of past-year drinkers aged 18 to 64 years (n = 22,776).

RESULTS

Time-varying effect modeling revealed that high-intensity drinking and HED-only drinking were equally prevalent during young adulthood and prevalence rates of both types of drinking generally became less common with increasing age. At all ages, high-intensity drinkers were at 3 or more times greater odds of meeting criteria for an AUD than HED-only drinkers. The association between high-intensity relative to HED-only drinking was strongest earlier in adulthood with approximately 83% of 18-year-old high-intensity drinkers having AUD relative to 42% of HED-only drinkers.

CONCLUSIONS

Future research aiming to identify drinkers most at risk of harms and in need of treatment may benefit from assessing the extent to which an individual exceeds the 8+/10+ threshold of drinking.

Ecological Momentary Assessment in Physical Activity Research

Theories explaining why individuals participate in physical activity often do not take into account within-person variation or dynamic patterns of change. Time-intensive methods such as Ecological Momentary Assessment are more conducive to capturing time- and spatially-varying explanatory factors and intraindividual fluctuations than traditional methods and thus may yield new insights into the prediction and modeling of physical activity behavior.

Emergence of electronic cigarette use in US adolescents and the link to traditional cigarette use

BACKGROUND

Electronic cigarettes (e-cigarettes) are increasingly used by US adolescents and may be a gateway to traditional cigarette use. We examine rates of both products by age and examine differences in age-varying rates by sex and race/ethnicity.

METHODS

Data are from the 2014 National Youth Tobacco Survey, a national sample of US middle and high school students (n=22.007); students ages 11-19 were included. Past 30-day e-cigarette and traditional cigarette use were examined as a function of age; sex and race/ethnicity were included as moderators. The age-varying association between e-cigarette and traditional cigarette use was also examined.

RESULTS

Rates of e-cigarette use increase faster than traditional cigarette use from ages 13-16. Compared to females, males had higher rates of e-cigarette use from ages 14-17.5 and traditional cigarette use from ages 15-18. Between ages 12-14, more Hispanic adolescents used e-cigarettes compared to White or Black adolescents; after age 14 Hispanics and Whites reported similar rates, peaking at twice the rate for Blacks. Hispanic adolescents report greater traditional cigarette use versus Whites between ages 12-13, but lower rates between ages 15-18. E-cigarette use was strongly associated with traditional cigarette use, particularly during early adolescence [OR>40 before age 12].

CONCLUSIONS

Young Hispanic adolescents are at elevated risk for use of e-cigarettes and traditional cigarettes during early adolescence. During early adolescence, youth using e-cigarettes are more likely to smoke traditional cigarettes compared to youth not using e-cigarettes. The study of age-varying effects holds promise for advancing understanding of disparities in health risk behaviors.

What a difference a day makes: differences in initial abstinence response during a smoking cessation attempt

AIMS

To (1) identify distinct classes of smokers based on quit day withdrawal symptoms and (2) explore the relations between withdrawal classes and demographics, tobacco dependence, treatment and smoking outcomes.

DESIGN

Secondary data analysis of participants (n = 1504) in a randomized double-blind placebo-controlled multi-site smoking cessation trial who provided ecological momentary assessments of withdrawal symptoms on their quit day. Participants received smoking cessation counseling and were randomized to receive placebo or one of five active pharmacotherapies.

SETTING

Research offices in Madison and Milwaukee, Wisconsin, USA.

PARTICIPANTS

Adult smokers (n = 1236; 58% female, 86% white), recruited from the community via advertisements, who abstained on their quit day.

MEASUREMENTS

Demographics and tobacco dependence were assessed at baseline and participants carried palmtop computers to record withdrawal symptoms (craving, negative affect, difficulty concentrating, hunger and anhedonia) on their quit day. Point-prevalence abstinence and latency to relapse were assessed at 8 weeks and 6 months post-quit.

FINDINGS

Latent class analysis identified four withdrawal classes [Akaike information criterion (AIC) = 70.09]: Moderate withdrawal (64% of sample), high craving-anhedonia (8% of sample), affective withdrawal (13% of sample) and hunger (15% of sample). The high craving-anhedonia class reported significantly higher dependence (P < 0.01), were less likely to have received combination nicotine replacement, reported lower week 8 abstinence rates and relapsed sooner than those in the moderate withdrawal class (P < 0.05). The affective withdrawal class reported higher levels of baseline negative affect and life-time psychopathology (P < 0.05) and relapsed more quickly than the moderate withdrawal class (P < 0.01).

CONCLUSIONS

While the majority of smokers report typical levels of withdrawal symptoms on their quit day, more than one-third report extreme craving or extreme negative affective or extreme hunger responses to initial abstinence. These distinct quit-day withdrawal symptom patterns are related to baseline characteristics, treatment and cessation success.

Age-varying associations between nonmarital sexual behavior and depressive symptoms across adolescence and young adulthood

Research has demonstrated associations between adolescent sexual behavior and depressive symptoms, but no single study has examined individuals at different ages throughout adolescence and young adulthood in order to determine at what ages sexual behavior may be associated with higher or lower levels of depressive symptoms. Using nationally representative longitudinal data and an innovative method, the time-varying effect model (TVEM), which examines how the strength of an association changes over time, this study examines how nonmarital sexual intercourse is associated with depressive symptoms at different ages, which behaviors and contexts may contribute to these associations, and whether associations differ for male and female participants. Findings indicate that sexual behavior in adolescence is associated with a higher level of depressive symptoms, particularly for female adolescents, and this association is relatively consistent across different partner types and adolescent contexts. Associations between sexual behavior and depressive symptoms in young adulthood are more dependent on partner factors and adolescent contexts; sexual behavior in young adulthood is associated with fewer depressive symptoms for women who have sex with a single partner and for men whose parents did not strongly disapprove of adolescent sexual behavior. Findings suggest that delaying sexual behavior into young adulthood may have some benefits for mental health, although contextual and relationship factors also play a role. (PsycINFO Database Record

Perceived friends' use as a risk factor for marijuana use across young adulthood

Perceived social norms of substance use are commonly identified as a risk factor for use. How the strength of association between perceived friends' use and substance use may change across development has not yet been documented. The current analysis considers how the associations between perceived friends' marijuana use and participants' own use of any marijuana in the past year changes from ages 18 to 30 using longitudinal data from the United States national Monitoring the Future study from 1976 to 2014 (N = 30,794 people). Time-varying effect modeling (TVEM) was used to examine the associations between perceived friends' use of marijuana and participants' own annual marijuana use by age, as well as the extent to which these time-varying associations were moderated by sex, race/ethnicity, and parental education. Associations between perceived friends' use and own marijuana use increased with age. In addition, the association between perceived friends' use and own marijuana use significantly varied by demographic groups, such that it was significantly greater for men from ages 19 to 24 and from ages 27 to 30, compared with women; for Whites, compared with other race/ethnicities, across all ages; and for individuals whose parents attended college, compared with those whose parents had a high school education or less, across all ages. Results suggest that perceived friends' marijuana use becomes an even more important marker for increased marijuana use as people age through young adulthood. Therefore, the role of peers in substance use remains crucial beyond adolescence and should be incorporated into intervention strategies for young adults. (PsycINFO Database Record