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Although alcohol use is related to daily affect, findings regarding affect variability—the degree to which individuals exhibit day-to-day fluctuations in affect—and alcohol use have been mixed. The present study assessed whether individuals who use alcohol tend to have higher positive and negative affect variability than individuals who do not, as well as whether higher affect variability is related to more frequent and intense alcohol use among individuals who use alcohol. We also explored whether affect variability differed between individuals who use alcohol and those who concurrently use alcohol and cannabis. College students (N = 1909; M = 20.1, SD = 1.3; 67.7% female; 76.6% white; n = 1147 individuals who use alcohol) completed a 21-day protocol between February-December 2021 in which they reported daily affect, number of drinks consumed, and any cannabis use. As hypothesized, individuals who used alcohol had higher positive and negative affect variability than individuals who did not. Among individuals who used alcohol, individuals with higher negative affect variability drank alcohol more frequently, and both higher positive and negative affect variability were related to more intense alcohol use. No differences emerged between individuals who used alcohol and those who concurrently used alcohol and cannabis. Taken together, higher positive and negative affect variability were related to higher odds of using alcohol and more frequent and intense use among individuals who use alcohol, over and above average affect. Higher affect variability could relate to alcohol use because of difficulties with emotion regulation or heightened sensitivity to the environment. [ABSTRACT FROM AUTHOR]

Time-varying effect modeling (TVEM), a statistical technique for modeling dynamic patterns of change, presents new opportunities to study biobehavioral health processes. TVEM is particularly useful when applied to intensive longitudinal data (ILD) because it permits highly flexible modeling of outcomes over continuous time, as well as of associations between variables and moderation effects. TVEM coupled with ILD is ideal for the study of addiction. This article provides a general overview of using TVEM, particularly when applied to ILD, to better enable addiction scientists to conduct novel analyses that are important to realizing the dynamics of addiction-related processes. It presents an empirical example using ecological momentary assessment data from participants throughout their first 90 days of addiction recovery to estimate the (1) associations between morning craving and same-day recovery outcomes, (2) association between morning positive and negative affect and same-day recovery outcomes and (3) time-varying moderation effects of affect on the association between morning craving and recovery outcomes.We provide a didactic overview in implementing and interpreting the aims and results, including equations, computer syntax and reference resources. Our results highlight how affect operates as both a time-varying risk and protective factor on recovery outcomes, particularly when considered in combination with experiences of craving (i.e. dynamic moderation). We conclude by discussing our results, recent innovations and future directions of TVEM for advancing addiction science, including how 'time' can be operationalized to probe new research questions. [ABSTRACT FROM AUTHOR]

Improvements in substance use disorder recovery may be achieved by recognizing that effective interventions do not work equally well for all individuals. Heterogeneity of intervention effects is traditionally examined as a function of a single variable, such as gender or baseline severity. However, responsiveness to an intervention is likely a result of multiple, intersecting factors. Latent class moderation enables the examination of heterogeneity in intervention effects across subgroups characterized by profiles of characteristics. This study analyzed data from adolescents (aged 13 to 18 years old) who needed treatment for cannabis use (n = 14,854) and participated in the Global Appraisal of Individual Needs to evaluate differential effects of substance use services on cannabis use outcomes. We demonstrate an adjusted three-step approach using weights that account for measurement error; sample codes in Mplus and Latent Gold are provided and data are publicly available. Indicators of the latent class moderator comprised six contextual (e.g., recovery environment risk) and individual (e.g., internal mental distress) risk factors. The latent class moderator comprised four subgroups: low risk (21.1%), social risk (21.1%), environmental risk (12.5%), and mixed risk (45.2%). Limited moderation of associations between level of care and any past 90-day cannabis use were observed. In predicting number of cannabis use-days, compared to individuals with low risk, those with environmental risk showed improved outcomes from intensive outpatient care whereas individuals with social risk and mixed risk showed improved outcomes from residential care (all compared to early intervention/outpatient care). Latent class moderation holds potential to elucidate heterogeneity in intervention effectiveness that otherwise may go undetected. [ABSTRACT FROM AUTHOR]

To identify patient risk factors associated with prescription opioid misuse and abuse as well as groupings of misuse and abuse behaviors as measured by the Prescription Opioid Misuse and Abuse Questionnaire (POMAQ). Adults with chronic pain requiring long-term treatment with opioids completed the POMAQ and other study questionnaires. Latent class analysis (LCA) was used to examine underlying subgroups exhibiting particular risk profiles. Patient demographic and clinical characteristics were examined as covariates and the concordance between the identified latent classes at-risk classifications and the POMAQ clinical scoring algorithm was assessed. Analysis of data from 809 patients revealed four classes: "chronic pain, low risk" (n = 473, low to no prevalence of POMAQ behaviors), "chronic pain, comorbid condition" (n = 152, high prevalence of anti-anxiety, sleeping pill, and antihistamine use), "at risk" (n = 154, taking more opioids than prescribed and drinking alcohol with opioids more frequently than other groups), and "high risk" (n = 30, highest prevalence of each behavior). The "high risk" group was associated with being younger, less educated, and unemployed compared to other groups. When examining the LCA classes by groups defined by the original POMAQ clinical scoring algorithm, the "high risk" class had the highest proportion of participants identified with abuse behaviors (46.7%), compared to just 4.7% in the "chronic pain, low risk" group. Findings suggest there are four distinct subgroups of patients defined by chronic opioid misuse and abuse behaviors and support the use of the POMAQ to identify risk factors associated with prescription opioid misuse and abuse. [ABSTRACT FROM AUTHOR]

Background: Substance use and use disorders in the United States have had significant and devastating impacts on individuals and communities. This escalating substance use crisis calls for urgent and innovative solutions to effectively detect and provide interventions for individuals in times of need. Recent mobile health (mHealth)-based approaches offer promising new opportunities to address these issues through ubiquitous devices. However, the design rationales, theoretical frameworks, and mechanisms through which users' perspectives and experiences guide the design and deployment of such systems have not been analyzed in any prior systematic reviews. Objective: In this paper, we systematically review these approaches and apps for their feasibility, efficacy, and usability. Further, we evaluate whether human-centered research principles and techniques guide the design and development of these systems and examine how the current state-of-the-art systems apply to real-world contexts. In an effort to gauge the applicability of these systems, we also investigate whether these approaches consider the effects of stigma and privacy concerns related to collecting data on substance use. Lastly, we examine persistent challenges in the design and large-scale adoption of substance use intervention apps and draw inspiration from other domains of mHealth to suggest actionable reforms for the design and deployment of these apps. Methods: Four databases (PubMed, IEEE Xplore, JMIR, and ACM Digital Library) were searched over a 5-year period (2016-2021) for articles evaluating mHealth approaches for substance use (alcohol use, marijuana use, opioid use, tobacco use, and substance co-use). Articles that will be included describe an mHealth detection or intervention targeting substance use, provide outcomes data, and include a discussion of design techniques and user perspectives. Independent evaluation will be conducted by one author, followed by secondary reviewer(s) who will check and validate themes and data. Results: This is a protocol for a systematic review; therefore, results are not yet available. We are currently in the process of selecting the studies for inclusion in the final analysis. Conclusions: To the best of our knowledge, this is the first systematic review to assess real-world applicability, scalability, and use of human-centered design and evaluation techniques in mHealth approaches targeting substance use. This study is expected to identify gaps and opportunities in current approaches used to develop and assess mHealth technologies for substance use detection and intervention. Further, this review also aims to highlight various design processes and components that result in engaging, usable, and effective systems for substance use, informing and motivating the future development of such systems. [ABSTRACT FROM AUTHOR]

At the population level, use of multiple substances (or "co-use") is prevalent in young adulthood and linked with increased risk for experiencing substance-related harms. Less understood is the heterogeneity of substance use behaviors within individuals and across days, as well as the proximal predictors of these daily use patterns. The present study applied latent class analysis to daily diary data to identify daily substance use patterns and compare day-level class membership based on day-level stress and positive and negative affect among a higher-risk sample of young adult substance users. Participants (n = 152) completed up to 13 daily assessments of stress, affect, and substance use behavior. Among substance use days, five classes of days were identified: cannabis (some alcohol; 43% of days), alcohol-only (26%), vaping (some alcohol, cannabis; 24%), stimulant + alcohol (some cannabis, vaping; 4%), and cigarette-only (3%) days. Days with lower levels of perceived stress were significantly more likely to be alcohol-only Days relative to being days characterized by cigarette use, cannabis use, or multiple drug combinations. Days with higher levels of stress and negative affect were more likely to be cigarette-only days relative to cannabis and vaping days. Study findings document the wide range of substance use and co-use behaviors exhibited among young adults in daily life and highlight the importance of considering risk factors that correspond to days of problematic use patterns. [ABSTRACT FROM AUTHOR]

Objective: The COVID-19 pandemic has potential for long-lasting effects on college students' well-being. We examine changes from just before to during the pandemic in indicators of health and well-being and comprehensive profiles of health and well-being, along with links between covariates and profiles during the pandemic. Participants: 1,004 students participated in a longitudinal study that began in November 2019. Methods: Latent class analysis identified health and well-being profiles at both waves; covariates were included in relation to class membership. Results: Mental health problems increased, whereas substance use, sexual behavior, physical inactivity, and food insecurity decreased. Six well-being classes were identified at each wave. Baseline class membership, sociodemographic characteristics, living situation, ethnicity, coping strategies, and belongingness were associated with profile membership at follow-up. Conclusions: COVID-19 has had significant and differential impacts on today's students; their health and well-being should be considered holistically when understanding and addressing long-term effects of this pandemic. [ABSTRACT FROM AUTHOR]

Background: Substance use disorders (SUDs) and mental health disorders may change and co-occur in complex patterns across adult ages, but these processes can be difficult to capture with traditional statistical approaches. Objective: To elucidate disorder prevalence and comorbidities across adult ages by using time-varying effect models (TVEMs), latent class analysis (LCA), and modeling latent class prevalences as complex functions of age. Methods: Data were drawn from participants who are 18–65 years old in the National Epidemiologic Survey on Alcohol and Related Conditions III (n = 30,999; 51% women) and a subsample who reported a past-year post-traumatic stress disorder (PTSD), mood, anxiety, or SUD based on DSM-5 diagnoses (n = 11,279). TVEM and LCA were used to examine age trends and comorbidity patterns across ages. Results: SUD prevalence peaked at age 23 (31%) and decreased thereafter, while mental health disorder prevalence was stable (20%–26% across all ages). The prevalence of five classes of individuals based on specific combinations of mental health and SUDs varied by age: the Alcohol Use Disorder class had the highest prevalence at age 26, whereas the Mood and Anxiety Disorder classes peaked around age 63. Interestingly, the Poly-Disorder class prevalence was greatest at age 18 but decreased sharply across young adulthood; however, the prevalence of the other high comorbidity class, PTSD with Mood or Anxiety Disorder, remained fairly constant across age, peaking at age 44. Conclusions: Multimorbid mental health disorders (excluding SUDs) persist in prevalence across adult ages. LCA, TVEM, and their integration together hold substantial potential to advance addiction research. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to illuminate developmental changes and gender differences in the link between weight concerns and cigarette use across adolescence. Specifically, we examined whether and how the strength of the association between weight concerns and cigarette use changed across adolescence, and whether patterns of association differed between boys and girls. Method: Participants were 397 predominately White adolescents ages 11–18 years (50.5% female) from a longitudinal observational study conducted in the United States. Results: Time‐varying effect modeling revealed that even after adjusting for BMI, the association between weight concerns and cigarette use was positive and significant for girls from age 11.3 to 15.9, with the strongest association at 12.7 years. For boys, this association was non‐significant throughout adolescence. Discussion: Results suggest a sensitive period in early‐ to mid‐adolescence during which girls with weight concerns may be at heightened risk for cigarette use. Findings have implications for the developmental timing of interventions to prevent cigarette use and weight concerns and suggest that tailored interventions for girls may be warranted. [ABSTRACT FROM AUTHOR]

To develop efficient just-in-time personalised treatments, dynamical models are needed that provide a description of how an individual responds to treatment. However, available system identification approaches cannot effectively be applied to most behavioural datasets since, usually, the data collected is subjected to a large amount of noise and time sampling is not uniform. To be able to circumvent these issues, in this paper a new method is proposed for parsimonious system identification of continuous-time systems that does not require specially structured data. The developed algorithm provides an effective way to leverage these 'non-standard' datasets to identify continuous time dynamical models that are compatible with a-priori information available on the process. The algorithm developed is tested on data obtained from a behavioural study on adolescents and violence. The objective is to model the temporal dynamics of the association between violence exposure and mental health symptoms (depression and anxiety) in day-to-day life among a sample of adolescents at heightened risk for both substance use exposure and problem behaviour. The information extracted from individual models of behaviour such as the maximum burden and the time of fading away of depression/anxiety does differ substantially from person to person. This information has the potential to be useful to design personalised interventions that would have a better chance of succeeding. [ABSTRACT FROM AUTHOR]

We examined the prevalence of psychological outcomes (i.e., symptoms of depression and anxiety) by age and age-varying associations between physical activity and psychological outcomes among rural cancer survivors. Participants (N = 219; ages 22–93) completed sociodemographic, psychological, and physical activity questionnaires. Time-varying effect models estimated the prevalence of psychological outcomes and assessed associations between physical activity and psychological outcomes as a flexible function of age. Depression and anxiety symptoms decreased with age among cancer survivors aged 22–40 years and were relatively stable across age among those > 40 years. Positive associations between vigorous physical activity and psychological outcomes in those aged 22–40 years were identified. In those > 70–80 years, there were negative associations between vigorous physical activity and psychological outcomes. Results suggest there is variation across age in the associations between physical activity and psychological outcomes among rural survivors. Future research should further explore these age-varying relationships to identify important intervention targets. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Supportive relationships with parents and friends reduce adolescent risk for depression; however, whether and how the strength of these associations changes across adolescence remains less clear. Age‐varying associations of mother–adolescent and father–adolescent closeness and friend support with depressive symptoms were examined across ages 12.5–19.5 using data from the National Longitudinal Study of Adolescent to Adult Health (N = 4,819). Positive relationships with mothers, fathers, and friends were associated with lower depressive symptoms across adolescence, and the associations were generally stable across age. The association between father–adolescent closeness and depressive symptoms was stronger for girls than for boys during mid‐adolescence. Mother–adolescent closeness was more strongly negatively associated with depressive symptoms in the context of higher friend support during mid‐adolescence. [ABSTRACT FROM AUTHOR]

Introduction and Aims: Simultaneous alcohol and marijuana (SAM) use is reported by roughly 30% of young adult drinkers. Among SAM users, SAM use days have more negative substance‐related consequences than single‐substance days. Little information is available about contextual factors contributing to the likelihood of SAM use on a particular day. This study compared days on which individuals reported SAM use relative to days on which they reported alcohol but not marijuana use in terms of physical location, engagement in risky activities and social context of use. Design and Methods: Participants were 148 young adults (57% female) reporting past‐month SAM use and past two‐week binge drinking. Participants completed up to 14 daily surveys assessing substance use behaviour and socio‐environmental characteristics of use. Results: For those <21 years, only using at home was associated with greater odds of SAM use. For those 21+, using at a friend's house and outdoors were associated with increased odds of use; using at a bar/club was associated with lower odds. Using alone was associated with lower odds of use for those 21+. Engagement in risky activities (pre‐gaming and drinking games) was not associated with SAM use. Discussion and Conclusions: SAM days are linked with use in private settings and social situations. Despite experiencing more harms on SAM days, SAM use is not more likely than alcohol use alone to occur in certain environments and situations traditionally found to be linked with increased risk. Findings may provide key insight for developing context‐informed interventions focused on SAM use. [ABSTRACT FROM AUTHOR]

Background: Individuals who engage in alcohol and cannabis co-occurring use are at heightened risk for negative outcomes than individuals who only use alcohol or only use cannabis, but far less is known about implications of alcohol and cannabis co-occurring use for prescription drug misuse (PDM). Objectives: This study aimed to (1) identify whether co-occurring use was linked with greater risk for PDM across ages 18–60 and to determine ages at which this association was strongest, (2) determine whether associations remain after controlling for pain severity, and (3) test for gender differences. Methods: Cross-sectional data were from Wave 1 of the Population Assessment of Tobacco and Health (PATH) study. The analytic sample included 20,120 (50.6%wt men) individuals aged 18–60 reporting past-year alcohol and/or cannabis use. Results: Time-varying effect models indicated that individuals reporting co-occurring use were at increased risk for PDM than individuals reporting single-substance use across all ages, with odds ratios peaking at >3 at age 34. After controlling for pain severity, associations were only slightly weakened. Associations were slightly stronger for men than women from ages 28 to 35. Conclusion: Co-occurring use was linked with heightened risk for PDM compared to individuals who used only one substance; co-occurring use may be important to target for PDM prevention. Identifying factors underlying study associations, beyond pain, and how these factors evolve with age are important avenues for prevention work. [ABSTRACT FROM AUTHOR]

In the United States, sexual minority (SM) status is associated with a number of health disparities. Based on mounting evidence, stigma and discrimination have been cited as key barriers to health equity for this population. We estimated the prevalence of three types of discrimination as a function of age among SM adults from the National Epidemiological Study of Alcohol Use and Related Conditions III (NESARC-III) (2012–2013). Among SM adults, reports of past-year general discrimination, victimization, and healthcare discrimination varied by age, with peaks in early adulthood and again in midlife. Age trends varied by biological sex, with males experiencing significantly more general discrimination, victimization, and healthcare discrimination at specific ages. Age trends also varied by sexual identity, as LGB-identifying SMs were significantly more likely to experience all forms of discrimination across all ages. Policies preventing homophobic discrimination and victimization are necessary given the pervasiveness of these experiences across adulthood. [ABSTRACT FROM AUTHOR]

Despite widespread interest in variance in affect, basic questions remain pertaining to the relative proportions of between-person and within-person variance, the contribution of days and moments, and the reliability of these estimates. We addressed these questions by decomposing negative affect and positive affect variance across three levels (person, day, moment), and calculating reliability using a coordinated analysis of seven daily diary, ecological momentary assessment (EMA), and diary-EMA hybrid studies (across studies age = 18-84 years, total N persons = 2,103, total N observations = 45,065). Across studies, within-person variance was sizeable (negative affect: 45% to 66%, positive affect: 25% to 74%); in EMA more within-person variance was attributable to momentary rather than daily level. Reliability was adequate to high at all levels of analysis (within-person:.73-.91; between-person:.96-1.00) despite different items and designs. We discuss the implications of these results for the design of future intensive studies of affect variance. [ABSTRACT FROM AUTHOR]

Information criteria (ICs) based on penalized likelihood, such as Akaike's information criterion (AIC), the Bayesian information criterion (BIC) and sample-size-adjusted versions of them, are widely used for model selection in health and biological research. However, different criteria sometimes support different models, leading to discussions about which is the most trustworthy. Some researchers and fields of study habitually use one or the other, often without a clearly stated justification. They may not realize that the criteria may disagree. Others try to compare models using multiple criteria but encounter ambiguity when different criteria lead to substantively different answers, leading to questions about which criterion is best. In this paper we present an alternative perspective on these criteria that can help in interpreting their practical implications. Specifically, in some cases the comparison of two models using ICs can be viewed as equivalent to a likelihood ratio test, with the different criteria representing different alpha levels and BIC being a more conservative test than AIC. This perspective may lead to insights about how to interpret the ICs in more complex situations. For example, AIC or BIC could be preferable, depending on the relative importance one assigns to sensitivity versus specificity. Understanding the differences and similarities among the ICs can make it easier to compare their results and to use them to make informed decisions. [ABSTRACT FROM AUTHOR]

Although stress is a common experience in everyday life, a clear understanding of how often an individual experiences and reports stress is lacking. Notably, there is little information regarding factors that may influence how frequently stress is reported, including which stress dimension is measured (i.e., stressors—did an event happen, subjective stress—how stressed do you feel, conditional stress—how stressful a stressor was) and the temporal features of that assessment (i.e., time of day, day of study, weekday vs. weekend day). The purpose of the present study was to conduct a coordinated analysis of five independent ecological momentary assessment studies utilizing varied stress reporting dimensions and temporal features. Results indicated that, within days, stress was reported at different frequencies depending on the stress dimension. Stressors were reported on 15–32% of momentary reports made within a day; across days, the frequency ranged from 42 to 76% of days. Depending on the cutoff, subjective stress was reported more frequently ranging about 8–56% of all moments within days, and 40–90% of days. Likewise, conditional stress ranged from just 3% of moments to 22%, and 11–69% of days. For the temporal features, stress was reported more frequently on weekdays (compared to weekend days) and on days earlier in the study (relative to days later in the study); time of day was inconsistently related to stress reports. In sum, stress report frequency depends in part on how stress is assessed. As such, researchers may wish to measure stress in multiple ways and, in the case of subjective and conditional stress with multiple operational definitions, to thoroughly characterize the frequency of stress reporting. [ABSTRACT FROM AUTHOR]

Latent class analysis (LCA) has proven to be a useful tool for identifying qualitatively different population subgroups who may be at varying levels of risk for negative outcomes. Recent methodological work has improved techniques for linking latent class membership to distal outcomes; however, these techniques do not adjust for potential confounding variables that may provide alternative explanations for observed relations. Inverse propensity score weighting provides a way to account for many confounders simultaneously, thereby strengthening causal inference of the effects of predictors on outcomes. Although propensity score weighting has been adapted to LCA with covariates, there has been limited work adapting it to LCA with distal outcomes. The current study proposes a step-by-step approach for using inverse propensity score weighting together with the "Bolck, Croon, and Hagenaars" approach to LCA with distal outcomes (i.e., the BCH approach), in order to estimate the causal effects of reasons for alcohol use latent class membership during the year after high school (at age 19) on later problem alcohol use (at age 35) with data from the longitudinal sample in the Monitoring the Future study. A supplementary appendix provides evidence for the accuracy of the proposed approach via a small-scale simulation study, as well as sample programming code to conduct the step-by-step approach. [ABSTRACT FROM AUTHOR]

The developmental timing of suicide-related disparities between heterosexuals and sexual minorities (i.e., lesbian/gay and bisexual (LGB) people) is an understudied area that has critical prevention implications. In addition to developmentally situated experiences that shape risk for suicidality in the general population, sexual minorities also experience unique social stressors (e.g., anti-LGB stigma) that may alter their risk for suicidal behavior at different ages. Using a nationally representative US sample of adults, we assessed age-varying rates of suicidal behavior among heterosexuals and sexual minorities ages 18 to 60 and the age-varying association between anti-LGB discrimination and suicidal behavior. We also tested whether these age-varying prevalences and associations differed for men and women and for sexual minorities who did and did not endorse a sexual minority identity. Results indicate a critical period for suicide behavior risk for sexual minorities during young adulthood, with the highest rates of risk at age 18 followed by a steady decline until the early 40s. Disparities were particularly robust for sexual minorities who identified as lesbian, gay, or bisexual. This pattern was present for both men and women, though sexual minority women in their 30s were more likely to report suicidal behavior than heterosexuals and sexual minority men. Sexual minorities who experienced anti-LGB discrimination were more likely to report suicidal behavior, but the significance of this association was limited to those under 30. The effect of discrimination on suicidal behavior was stronger among young adult sexual minority men, relative to sexual minority women, but was present for a wider age range for sexual minority women (until age 30) relative to sexual minority men (until age 25). [ABSTRACT FROM AUTHOR]

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. Age of peak binge drinking (5+ drinks per occasion) prevalence has increased from 20 to 22 for women and 21 to 23 for men among high school graduating classes from 1976 to 2004. Women from more recent cohorts reported significantly higher binge drinking prevalence from ages 21 to 30 than women in earlier cohorts. Increased age of peak binge drinking and a longer time period during which young adults are engaging in binge drinking likely confer greater risks. [ABSTRACT FROM AUTHOR]

Aims Alcohol use disorders (AUDs) are linked with numerous severe detrimental outcomes. Evidence suggests that there is a typology of individuals with an AUD based on the symptoms they report. Scant research has identified how these groups may vary in prevalence by age, which could highlight aspects of problematic drinking behavior that are particularly salient at different ages. Our study aimed to (a) identify latent classes of drinkers with AUD that differ based on symptoms of AUD and (b) examine prevalences of latent classes by age. Short summary Our findings advocate for personalized treatment approaches for AUD and highlight the need for carefully considering the role of age in prevention and intervention efforts. Methods We used data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III). Current drinkers aged 18–64 who met criteria for a past-year AUD were included (n = 5402). Results Latent class analysis (LCA) based on 11 AUD criteria revealed 5 classes: 'Alcohol-Induced Injury' (25%), 'Highly Problematic, Low Perceived Life Interference' (21%), 'Adverse Effects Only' (34%), 'Difficulty Cutting Back' (13%) and 'Highly Problematic' (7%). Using time-varying effect modeling (TVEM), each class was found to vary in prevalence across age. The Adverse Effects Only and Highly Problematic, Low Perceived Life Interference classes were particularly prevalent among younger adults, and the Difficulty Cutting Back and Alcohol-Induced Injury classes were more prevalent as age increased. Conclusions Findings suggest that experience of AUD is not only heterogeneous in nature but also that the prevalence of these subgroups vary across age. [ABSTRACT FROM AUTHOR]

Background: Young adults report the heaviest drinking of any age group, and many are at risk for experiencing an alcohol use disorder. Most research investigating young adult drinking has focused on single indicators of use. Using multiple dimensions of consumption, such as federal guidelines for daily/weekly drinking and engagement in drinking at twice the binge threshold (“high-intensity drinking”) to characterize drinking behavior could illuminate drinking patterns linked with harms. Objectives: We used a person-centered approach to examine latent classes of drinkers from a national sample of young adults. Further, we compared classes on college status. Methods: We used 2012-2013 data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)-III. We included past-year drinkers aged 18-22 years (n = 2213). Latent classes were estimated based on drinking frequency, daily/weekly drinking, frequency of heavy episodic drinking (4+/5+ drinks for women/men), frequency of high-intensity drinking (8+/10+ drinks), and intoxication frequency. Results: Five latent classes were identified: Occasional, Light Drinkers (30%), Regular Drinkers (6%), Infrequent Drinkers with Occasional Binging (10%), Frequent Drinkers with Occasional Binging (22%), and High-Intensity Drinkers (32%). Although membership in the two riskiest classes were more common among college-attenders, odds of being a High-Intensity Drinker relative to the second riskiest class was not significantly different for college- and non-college-attending young adults. Conclusions/Importance: As high-intensity drinking does not appear to be a drinking pattern unique to college-attenders and non-college-attenders are less likely to mature out of heavy drinking patterns, intervention efforts are needed for this at-risk age group. [ABSTRACT FROM AUTHOR]

Despite a growing literature on college students’ sexual behaviors, little is known about how sexual behaviors, and their associations with alcohol, differ for college and noncollege attenders, and whether these patterns represent changes during college or an extension of pre‐college behaviors. This paper applied time‐varying effect models to data from the National Longitudinal Study of Adolescent to Adult Health to examine (1) prevalence of four sexual behaviors from ages 14 to 24 and (2) how their association with frequent heavy episodic drinking varied across these ages for college and noncollege attenders. Nonattenders have higher prevalence of all sexual behaviors than college attenders across most ages; however, the association between heavy episodic drinking and sexual behaviors is stronger for college attenders during ages 18–20. [ABSTRACT FROM AUTHOR]

Background: Men who have sex with men (MSM) have higher rates of substance use compared to men who have sex with women. Among MSM, drug use is linked to higher-risk sexual behavior and acquisition of HIV and other sexually transmitted infections. Objectives: We hypothesize that time since first acting on one's same sex attraction, or one's “gay age”, could be predictive of drug using behavior. Methods: We examined this question among 176 MSM, aged 18-35, presenting at a public sexual health clinic. Behavioral data were captured using interviewer- and self-administered surveys and clinical data were extracted from medical records. We used modified Poisson regression to examine associations between gay age and recent recreational drug use, and separately, between gay age and recent marijuana use. Results: In total, 43% of participants reported recent marijuana use and 26% of participants reported recent use of other drugs. The associations between gay age and marijuana use and other drug use varied by HIV status. After adjustment for biological age, race, and education, a one-year increase in gay age was associated with significantly increased drug use among HIV-negative men (adjusted prevalence ratio (aPR): 1.08; 95% confidence interval (CI): 1.03-1.14), but we observed no association between gay age and drug use among HIV-positive men (aPR: 0.96, 95% CI: 0.86-1.07). Gay age was not associated with marijuana use in HIV-negative (aPR: 1.00, 95% CI: 0.95-1.04) or HIV-positive (aPR: 1.06, 95% CI: 0.98-1.14) men. Conclusions: In summary, HIV-negative MSM who had experienced more time since first same-sex experience had significantly increased prevalence of recent drug use. [ABSTRACT FROM AUTHOR]

The aim of the current article is to identify subgroups of adult drinkers characterized by typical drinking patterns. Data from the National Epidemiologic Survey on Alcohol and Related Conditions-III were used to classify drinkers based on several indicators of drinking. Past-year drinkers aged 18–64 were included (n= 22,776). Latent class analysis revealed a 5-class model: Occasional, Light Drinkers (28%), Frequent Drinkers (25%), Infrequent Drinkers with Occasional Binging (5%), Frequent Drinkers with Occasional Binging (22%), and High-Intensity Drinkers (20%). Although most were Light Drinkers, many engaged in excessive drinking. Given the potential risk for harm, prevention efforts are warranted particularly for High-Intensity Drinkers. [ABSTRACT FROM PUBLISHER]

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. [ABSTRACT FROM AUTHOR]

Men who have sex with men (MSM) are at disproportionate risk of acquisition of sexually transmitted infections (STIs). We used latent class analysis (LCA) to examine patterns of sexual behavior among MSM and how those patterns are related to STIs. We examined patterns of sexual behavior using behavioral and clinical data from a cross-sectional study of 235 MSM who presented to an urban sexual health clinic for STI testing. Analyzed data were collected using a combination of interviewer- and self-administered surveys and electronic health records. We used LCA to identify underlying subgroups of men based on their sexual behavior, described the demographics of the latent classes, and examined the association between the latent classes and STI status. We identified three latent classes of sexual behavior: Unprotected Anal Intercourse (UAI) Only (67%), Partner Seekers (14%), and Multiple Behaviors (19%). Men in the Multiple Behaviors class had a 67% probability of being STI positive, followed by men in the UAI Only class (27%) and men in the Partner Seekers class (22%). Examining the intersection of a variety of sexual practices indicates particular subgroups of MSM have the highest probability of being STI positive. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

In this paper, a robust control approach is used to address the problem of adaptive behavioral treatment design. Human behavior (e.g., smoking and exercise) and reactions to treatment are complex and depend on many unmeasurable external stimuli, some of which are unknown. Thus, it is crucial to model human behavior over many subject responses. We propose a simple (low order) uncertain affine model subject to uncertainties whose response covers the most probable behavioral responses. The proposed model contains two different types of uncertainties: uncertainty of the dynamics and external perturbations that patients face in their daily life. Once the uncertain model is defined, we demonstrate how least absolute shrinkage and selection operator (lasso) can be used as an identification tool. The lasso algorithm provides a way to directly estimate a model subject to sparse perturbations. With this estimated model, a robust control algorithm is developed, where one relies on the special structure of the uncertainty to develop efficient optimization algorithms. This paper concludes by using the proposed algorithm in a numerical experiment that simulates treatment for the urge to smoke. [ABSTRACT FROM PUBLISHER]

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. [ABSTRACT FROM AUTHOR]

Background There is a well-known link between attending college and engaging in excessive alcohol use. This study examines in a national sample how the association between student status and excessive alcohol use changes from late adolescence through young adulthood and whether the association of student status with excessive alcohol use is different for students residing with versus away from parents during the school year. Methods This study used cross-sectional data from the National Epidemiologic Survey on Alcohol and Related Conditions, a nationally representative sample of noninstitutionalized civilian adults residing in the United States. Our analyses included nonhigh school young adults who were ages 18 to 30 years ( n = 8,645). Excessive alcohol use included past-year (i) high-intensity drinking (men: ≥10 standard drinks; women: ≥8) and (ii) exceeding weekly drinking guidelines (men: >14 drinks per week; women: >7). Students who resided away from their parents and students who lived with their parents during the school year were compared to nonstudents. Results Analyses using time-varying effect modeling showed that the relationship of student status with excessive alcohol use varied as a function of age. Overall student status lost its association with excessive alcohol use in the early 20s, after controlling for demographics and other adult social roles. The association between student status and excessive alcohol use also varied considerably across age and depending on whether the student was residing with or away from parents. Conclusions The association of student status with excessive alcohol use is heterogeneous in terms of both age and living arrangements, suggesting opportunities for interventions targeting problematic alcohol use. Future research should examine additional sources of heterogeneity of students in their risk for excessive alcohol use. [ABSTRACT FROM AUTHOR]

Adolescents' sexual and romantic relationship experiences are multidimensional but often studied as single constructs. Thus, it is not clear how different patterns of sexual and relationship experience may interact to differentially predict later outcomes. In this study we used latent class analysis to model patterns (latent classes) of adolescent sexual and romantic experiences, and then examined how these classes were associated with young adult sexual health and relationship outcomes in data from the National Longitudinal Study of Adolescent to Adult Health (Add Health). We identified six adolescent relationship classes: No Relationship (33%), Waiting (22%), Intimate (38%), Private (3%), Low Involvement (3%), and Physical (2%). Adolescents in the Waiting and Intimate classes were more likely to have married by young adulthood than those in other classes, and those in the Physical class had a greater number of sexual partners and higher rates of sexually transmitted infections (STIs). Some gender differences were found; for example, women in the Low-Involvement and Physical classes in adolescence had average or high odds of marriage, whereas men in these classes had relatively low odds of marriage. Our findings identify more and less normative patterns of romantic and sexual experiences in late adolescence and elucidate associations between adolescent experiences and adult outcomes. [ABSTRACT FROM AUTHOR]

Most research examining the relationship between effective leadership and personality has focused on individual personality traits. However, profiles of personality traits more fully describe individuals, and these profiles may be important as they relate to leadership. This study used latent class analysis to examine how personality traits combine and interact to form subpopulations of leaders and how these subpopulations relate to performance criteria. Using a sample of 2,461 executive-level leaders, six personality profiles were identified: Unpredictable Leaders with Low Diligence (7.3%); Conscientious, Backend Leaders (3.6%); Unpredictable Leaders (8.6%); Creative Communicators (20.8%); Power Players (32.4%); and Protocol Followers (27.1%). One profile performed well on all criteria in an assessment center; remaining profiles exhibited strengths and weaknesses across criteria. Implications and future directions for research are highlighted. [ABSTRACT FROM PUBLISHER]

In this article, we consider the broad applicability of latent class analysis (LCA) and related approaches to advance research on child development. First, we describe the role of person-centered methods such as LCA in developmental research, and review prior applications of LCA to the study of development and related areas of research. Then we present practical considerations when applying LCA in developmental research, including model selection and statistical power. Finally, we introduce several recent methodological innovations in LCA, including causal inference in LCA, predicting a distal outcome from LC membership, and LC moderation (in which LCA quantifies multidimensional moderators of effects in observational and experimental studies), and we discuss their potential to advance developmental science. We conclude with suggestions for ongoing developmental research using LCA. [ABSTRACT FROM AUTHOR]