Age-varying association between discrimination, childhood family support, and substance use disorders among Latin American immigrants in the United States.

OBJECTIVES: The cultural stress theory posits that immigrants experience a constellation of cultural stressors such as discrimination that could exacerbate alcohol- and other substance-related problems. Drawing on cultural stress theory, this study investigated the age-varying association between past-year discrimination and substance use disorders (SUDs) among Latin American immigrants aged 18-60 and whether childhood family support moderated the above association. METHOD: We used data from the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III) among adults aged 18-60 who identified as a Latin American immigrant (N = 3,049; 48% female). RESULTS: Time-varying effect models (TVEMs) revealed that experiencing past-year discrimination was associated with greater odds of having a SUD during young and middle adulthood for Latin American immigrants. Furthermore, for immigrants with lower childhood family support, discrimination was associated with SUD risk in young and middle adulthood. CONCLUSION: The present study documents that past-year discrimination was linked to greater SUD risk during young and middle adulthood. Childhood family support may serve as a protective factor in the association between discrimination and risk for SUD among Latin American immigrants. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Daily Positive Alcohol Expectancies and Alcohol Use Outcomes among College Students.

Expectancy theory supports alcohol expectancies, or the expected effects of drinking, as an important factor in alcohol use behaviors. Recent research supports that alcohol expectancies fluctuate daily, but scant research has examined specific types of expectancies and their associations with alcohol use at the daily level. Consequently, the present study examined (1) the daily association between select expectancies (i.e., sociability, tension reduction, liquid courage) and likelihood of drinking, and (2) whether daily expectancies predict alcohol use outcomes (i.e., alcohol-related problems, heavy drinking) on drinking days. Participants (N = 221; 79.2% women) were primarily White (48.4%) and Black (29.7%) university students. Participants completed daily measures of expectancies, alcohol use, and alcohol-related problems each day for 14 days. Results from multilevel models revealed daily sociability as the only expectancy subscale linked with increased odds of drinking. Daily expectancies did not predict heavy drinking or alcohol-related problems on drinking days. At the between-person level, average levels of sociability and tension reduction expectancies were associated with a greater likelihood of engaging in heavy drinking and experiencing a problem. Findings highlight that fluctuations in sociability expectancies may be proximally linked to likelihood of alcohol use, which may inform just-in-time intervention efforts targeting alcohol expectancies.

Associations between day-level affect profiles and same-day substance use among young adults.

OBJECTIVE: Emotions play a critical role in health risk behaviors, including substance use. However, current research often focuses exclusively on average levels of positive and negative affect, neglecting the complexity of daily emotional patterns. By capturing multiple dimensions of affect, including arousal and discrete states, we can improve our understanding of proximal predictors of substance use. The present study demonstrates the utility of a novel methodological approach for assessing affect patterns in daily life in relation to alcohol and cannabis use. METHOD: Daily diary data from N = 154 young adults who reported recent heavy episodic drinking and simultaneous use of alcohol and cannabis were analyzed using a mixed-indicator latent profile analysis to identify and describe day-level affective patterns and outcomes. RESULTS: Results revealed five distinct day-level profiles of affect: undifferentiated negative affect days, undifferentiated positive affect days, high-arousal positive affect days, mixed affect days, and low reactivity days. Undifferentiated positive affect days, high-arousal positive affect days, and low reactivity days were associated with significantly greater odds of same-day alcohol use compared to days characterized by undifferentiated negative affect (χ² = 10.55, p = .032). CONCLUSIONS: Findings suggest that daily affect patterns differentially impact alcohol use and can inform the development of interventions for problematic substance use. Additionally, the innovative methodological approach employed herein could be applicable for investigating the role of emotion in other health behaviors. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Association Between Child Maltreatment and Substance Use Disorder Across Emerging Adulthood.

Child maltreatment is associated with substance use beginning in adolescence and throughout early adulthood. Substance use disorders (SUD) are most likely to develop during emerging adulthood (18-25 years old). Thus, to develop effective substance use prevention strategies, it is useful to know the ages at which associations between maltreatment exposure (prior to age 18) and SUD are most strongly tied. This study examined the age-varying association between child maltreatment and past-year SUD in emerging adulthood by sex and by maltreatment type using time-varying effect models (TVEM). Data were from the National Epidemiological Survey on Alcohol and Related Conditions (NESARC-III). The analytic sample consisted of 5194 emerging adults. The association was strongest at younger ages, with individuals who experienced child maltreatment having three times greater odds of reporting SUD in the past-year. Differential associations were found by sex, racial-ethnic group, and maltreatment type across age. Prevention efforts may be more effective if their development is informed by these important differences and targeted at emerging adults rather than adolescents.

Are you thinking what I'm thinking? Defining what we mean by "polysubstance use."

The rise in drug overdoses and harms associated with the use of more than one substance has led to increased use of the term "polysubstance use" among researchers, clinicians, and public health officials. However, the term retains no consistent definition across contexts. The current authors convened from disciplines including sociology, epidemiology, neuroscience, and addiction psychiatry to propose a recommended definition of polysubstance use. An iterative process considered authors' formal and informal conversations, insights from relevant symposia, talks, and conferences, as well as their own research and clinical experiences to propose the current definition. Three key concepts were identified as necessary to define polysubstance use: (1) substances involved, (2) timing, and (3) intent. Substances involved include clarifying either (1) the number and type of substances used, (2) presence of more than one substance use disorder, or (3) primary and secondary substance use. The concept of timing is recommended to use clear terms such as simultaneous, sequential, and same-day polysubstance use to describe short-term behaviors (e.g., 30-day windows). Finally, the concept of intent refers to clarifying unintentional use or exposure when possible, and greater attention to motivations of polysubstance use. These three components should be clearly defined in research on polysubstance use to improve consistency across disciplines. Consistent definitions of polysubstance use can aid in the synthesis of evidence to better address an overdose crisis that increasingly involves multiple substances.

Interpretations and experiences of subjective effects for alcohol alone and when combined with cannabis: A mixed-methods approach.

Subjective effects generally describe the feelings one has when consuming substances. There are several tools available for measuring alcohol-related subjective effects but there are reasons to believe that effects are interpreted differently across participants. The assessment of alcohol-related subjective effects is further complicated by the fact that many people use other substances with alcohol, including cannabis. The present study used a mixed-methods approach to evaluate interpretations of 21 subjective effects used in common assessments among a college student sample (N = 99; primarily White [79%], Hispanic [60%] women [74%], 72% of which reported lifetime couse of alcohol and cannabis). We sought to (a) estimate the prevalence of each effect and the amount of alcohol/number of drinks (and, for those with simultaneous use, amount of cannabis/number of hits) required to experience each effect and (b) evaluate how participants interpreted each effect that they had ever experienced when drinking (for our sample who had used only alcohol) or when simultaneously using alcohol and cannabis (for our sample who had reported simultaneous use). Across both samples, we found that several effects were far more common than others and participants had varied interpretations of each subjective effect. Further, qualitative results demonstrated that participants interpreted some subjective effects in a way that differed from the original intention of the measure. Results suggest a degree of measurement error when using common subjective effects assessment tools. Findings lay the groundwork for standardized measures of subjective effects for simultaneous use and have implications for future real-world assessment and intervention work. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The daily association between affect and alcohol use: A meta-analysis of individual participant data.

Influential psychological theories hypothesize that people consume alcohol in response to the experience of both negative and positive emotions. Despite two decades of daily diary and ecological momentary assessment research, it remains unclear whether people consume more alcohol on days they experience higher negative and positive affect in everyday life. In this preregistered meta-analysis, we synthesized the evidence for these daily associations between affect and alcohol use. We included individual participant data from 69 studies (N = 12,394), which used daily and momentary surveys to assess affect and the number of alcoholic drinks consumed. Results indicate that people are not more likely to drink on days they experience high negative affect, but are more likely to drink and drink heavily on days high in positive affect. People self-reporting a motivational tendency to drink-to-cope and drink-to-enhance consumed more alcohol, but not on days they experienced higher negative and positive affect. Results were robust across different operationalizations of affect, study designs, study populations, and individual characteristics. These findings challenge the long-held belief that people drink more alcohol following increases in negative affect. Integrating these findings under different theoretical models and limitations of this field of research, we collectively propose an agenda for future research to explore open questions surrounding affect and alcohol use.

Time-varying effect modeling with intensive longitudinal data: Examining dynamic links among craving, affect, self-efficacy and substance use during addiction recovery.

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.

Within-person associations between alcohol use and memory lapses among middle-aged and older adults.

INTRODUCTION: Alcohol use has been linked to impairment in both short- and long-term measures of objective memory. However, limited research has investigated the association between alcohol use and subjective memory in everyday life. The study purpose was to investigate within- and between-person associations between daily alcohol use and prospective (i.e., forgetting an intended task) and retrospective (i.e., forgetting something learned in the past) memory lapses among middle-aged and older adults. METHODS: Participants (n = 925; Mage = 55.2) were non-abstaining adults from the Midlife in the United States (MIDUS) study or the MIDUS Refresher who participated in an 8-day telephone diary asking about their daily experiences. RESULTS: Multilevel models revealed that within-individuals, heavier-than-usual alcohol use (i.e., having more drinks than one's daily average number of drinks) was associated with greater odds of reporting any memory lapses (odds ratio [OR] 1.06; 95% confidence interval [CI] 1.01, 1.12), while associations at the between-person level were nonsignificant (OR 1.07; 95% CI 0.99, 1.16). When assessing retrospective and prospective lapses separately, alcohol use was only associated with prospective lapses and only at the between-person level (OR 1.10; 95% CI 1.01, 1.19). Finally, alcohol use was unassociated with reported irritation or interference from memory lapses (p > 0.05). DISCUSSION AND CONCLUSIONS: Heavier-than-usual alcohol use may have acute effects on daily memory functioning. Future studies should assess how alcohol use relates to an individual's ability to meet daily cognitive demands, as these findings may have critical implications for harm reduction efforts targeting daily functioning among older adults.

A latent profile analysis of blackout drinking behavior among young adults.

BACKGROUND: Blackout drinking, or alcohol-induced memory loss during a drinking occasion, is associated with additional negative alcohol-related outcomes. Brief motivational interventions targeting higher-risk alcohol use behavior have largely ignored blackout drinking. Including personalized information on blackout drinking could maximize intervention impact. To move toward incorporating content on blackout drinking in prevention and intervention materials, it is imperative to understand individual-level differences in blackout drinking. The current study aimed to identify latent profiles of young adults based on blackout drinking experiences and to examine person-level predictors and outcomes associated with profile membership. METHOD: Participants were 542 young adults (ages 18-30) who reported 1+ past-year blackout episodes. Fifty-three percent of participants were female and 64% identified as non-Hispanic/Latinx white. RESULTS: Four latent profiles were identified based on blackout drinking frequency, blackout intentions, blackout expectancies, and age of first blackout: Low-Risk Blackout (35% of the sample), Experimental Blackout (23%), At-Risk Blackout (16%), and High-Risk Blackout (26%). Profiles varied by demographic, personality, and cognition- and alcohol-related behaviors. Notably, At-Risk and High-Risk Blackout profiles had the highest alcohol use disorder risk, most memory lapses and cognitive concerns, and highest levels of impulsivity traits. CONCLUSIONS: Findings support the multifaceted nature of blackout drinking experiences and perceptions. Profiles were differentiated across person-level predictors and outcomes, which identify potential intervention targets and individuals at heightened alcohol-related risk. A more comprehensive understanding of the heterogeneity of blackout drinking characteristics may be useful for early detection and intervention of problematic alcohol use predictors and patterns among young adults.

Resilience profiles predict polysubstance use in adolescents with a history of childhood maltreatment.

Background: Childhood maltreatment (CM) can be an impediment to normative development and consistently predicts increased risk for substance misuse and polysubstance use (polySU). Yet, a subset of individuals who experience CM exhibit successful adaptations across the lifespan. Although there is an expansive literature on socioemotional and cognitive protective factors that mitigate impacts of CM, less is known about other, intra-individual resilience-promoting factors (e.g., positive future orientation) known to assuage high-risk SU patterns during adolescence. Method: This study examined heterogeneity in individual-level resilience characteristics in maltreated youth as it related to CM characteristics and SU patterns during adolescence. Participants included maltreated youth from the longitudinal LONGSCAN sample (N=355; 181 females). Latent Profile Analysis was used to identify subgroups of CM-exposed individuals based on 5 resilience indicator variables (i.e., commitment to goals, engaging in demanding activities, self-reliance, positive future orientation, and externalizing behaviors). Tests for differences in SU patterns and CM characteristics between the resultant profiles were performed. Results: Data models revealed 3 latent profiles based on participants' resilience traits (i.e., Low Resilience, Average Resilience, and High Resilience). There were no profile differences on the basis of CM characteristics. Those in the High Resilience profile were less likely to engage in polySU compared to the Average Resilience profile. Implications: These findings highlight the promise of individual-level resilience factors that are not necessarily dependent upon caregiver or environmental inputs as protective against polySU following CM. This work represents a promising avenue for future preventative intervention efforts targeting emergent SU behaviors in high-risk youth.

Associations between blackout drinking and self-reported everyday cognition among young adults.

INTRODUCTION: Blackout drinking, or alcohol-induced memory loss during at least some part of a drinking occasion, is common among young adults and associated with negative alcohol-related consequences. One potential unique effect of blackout drinking episodes could be prolonged, general difficulties forming new memories through impairments in encoding, storage, or retrieval. The current study examined preliminary associations between blackout drinking and self-reported everyday cognitive functioning (i.e., memory lapses, non-memory cognitive difficulties, cognitive concerns) among a sample of young adults. We also examined the moderating role of key factors linked to blackout drinking: gender and frequent simultaneous alcohol and cannabis use. METHODS: Participants (N = 479; 53% women) were aged 18-30 who reported past-year blackout drinking. Participants completed an online survey through Qualtrics Panels. RESULTS: More frequent blackout experiences were found to be significantly related to more memory lapses, more non-memory cognitive difficulties, and more cognitive concerns even after controlling for typical alcohol use behavior. Men and individuals reporting frequent simultaneous use indicated stronger relationships between blackout drinking frequency and cognitive outcomes. DISCUSSION AND CONCLUSIONS: Findings add to the growing body of literature supporting the uniquely hazardous effects of blackout drinking and identify individuals at heightened risk of harms. Given that associations between blackout drinking frequency and everyday cognitive functioning were identified even among a young adult sample suggests that blackout drinking may be a risky behavior that links to poorer cognitive functioning.

Impulsivity typologies and simultaneous alcohol and cannabis use.

Simultaneous use of alcohol and cannabis or marijuana ("SAM") use is prevalent among young adults and associated with adverse outcomes. Impulsivity is a key construct associated with alcohol and other substance use in this age group, but scant work has considered the role of individual facets of impulsivity on SAM use. The present study compared latent profiles defined by facets of impulsivity (negative urgency, lack of perseverance, lack of premeditation, sensation seeking, and positive urgency) and examined whether profiles were associated with recent SAM use relative to alcohol without cannabis use. Participants were 542 young adults (53% female) recruited through Qualtrics Panels who reported past-year alcohol use and blackout drinking behavior. Participants completed online questionnaires regarding their past-year substance use behavior and typical impulsivity. Regression analysis examining the five impulsivity facets revealed that only sensation seeking predicted the likelihood of recent SAM use relative to alcohol without cannabis use. Using latent profile analysis, four profiles were identified: "low impulsivity," "high sensation seeking/urgency impulsivity," "moderate impulsivity," and "high lack of premeditation/perseverance impulsivity." Individuals in the high sensation seeking/urgency group were more likely to engage in SAM use. Impulsivity may be an important individual difference factor associated with SAM use. Young adults who engage in SAM use may be particularly vulnerable for impulsivity related to sensation seeking and urgency, which may further heighten their risk for hazardous use and related outcomes. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Using Young Adult Language to Describe the Effects of Simultaneous Alcohol and Marijuana Use: Implications for Assessment.

Introduction: Prevalence of alcohol and marijuana use is highest in young adulthood and an increasing number of young adults report simultaneous alcohol and marijuana (SAM) use, which is consistently linked with numerous negative consequences. To better understand reasons for engaging in SAM use and to refine measurement of subjective effects of SAM use, this study aimed to identify (1) how young adults describe subjective experiences during a SAM use occasion and (2) how language describing subjective effects changes as a function of level of alcohol and marijuana use. Methods: Using Amazon's Mechanical Turk (MTurk), 323 participants (53.6% women, 68.4% White, M age = 23.0 years) who reported past-month heavy episodic drinking and past-month SAM use were asked to list words to describe how they feel when using only alcohol, only marijuana, and various combinations of alcohol and marijuana. Results: SAM use language varied as a function of age and substance use behavior but was not associated with sex or race. Large differences in the terms used to describe subjective effects were observed when comparing different combinations of alcohol and marijuana use; most notably the term "cross-faded" appeared primarily when engaging at the heaviest combinations of alcohol and marijuana. Conclusion: Young adults have a wide range of vocabulary for describing subjective effects of SAM use, and subjective effects vary as a function of the level of each substance used. Future research should consider integrating such contemporary language when measuring subjective effects of SAM use.

Understanding Design Approaches and Evaluation Methods in mHealth Apps Targeting Substance Use: Protocol for a Systematic Review.

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. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/35749.

Change in college student health and well-being profiles as a function of the COVID-19 pandemic.

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.

Understanding Heterogeneity Among Simultaneous Alcohol and Marijuana Users: Latent Classes Derived From Daily Diary Data.

OBJECTIVE: Simultaneous use of alcohol and marijuana (SAM) is common among U.S. college students, but little research has examined specific substance use behaviors during SAM use episodes. This study identified latent classes of SAM users based on their SAM, alcohol-only, and marijuana-only use episodes. METHOD: College student SAM users (N = 284; 50.7% female; M age = 19.8 years) completed up to five surveys each day across two 4-week bursts. Latent class analysis (LCA) was used to characterize SAM users based on seven latent class indicators of use behavior. Sex was examined in relation to latent class membership. RESULTS: Five unique classes emerged: Frequent Marijuana-Focused SAM users (21%); Frequent Alcohol-Initiating SAM users (29%); Heavy-Drinking Infrequent SAM users (12%); Moderate SAM users (29%); and Light Infrequent SAM users (9%). These groups were differentiated primarily by their frequency of SAM use, form of marijuana, whether marijuana was used on non-SAM occasions, and whether consequences were experienced. Groups differed significantly by sex. CONCLUSIONS: College student SAM users are heterogeneous with respect not only to their degree of SAM use but also in their pattern of drinking, type of marijuana use, relative focus on alcohol versus marijuana, and risk of experiencing acute negative consequences. Describing this heterogeneity is an important step toward developing interventions for different types of users.

Time Perspective and Substance Use: An Examination Across Three Adolescent Samples.

Time perspective is conceptualized as a multidimensional construct that assesses individuals' feelings and thoughts about the past, present, and future. The current study examined relationships between feelings (time attitudes) and thoughts (time orientation) about time and substance use behaviors across three adolescent samples. Participants included a high-risk sample of adjudicated youth (N=124; M age =15.54, SD=1.69; 51.61% female) and two general population school samples (N=777; M age =15.82, SD=1.23; 53.41% female; N=1873; M age =15.87, SD=1.28; 52.22% female). Cross-sectional survey data were collected from samples in schools during 2010, 2016, and 2011, respectively. Poisson and negative binomial regression analyses indicated that overall, more positive feelings about time were associated with fewer substances used and, conversely, more negative feelings about time were associated with more substances used. These findings were particularly salient for participants with stronger positive and negative feelings toward the past and present time periods. Further, across the three samples, adolescents with a balanced time orientation (i.e., equal emphasis on all three time periods) generally reported less substance use than individuals who emphasized only one or two time periods. Findings highlight relationships between time perspective dimensions and substance use across diverse samples and illustrate opportunities for adapting time perspective-based substance use interventions for adolescents.

Flexibly modeling age trends in the prevalence of co-occurring patterns of substance use and mental health disorders using time-varying effects and latent class analysis.

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.

Stress and Affect as Daily Risk Factors for Substance Use Patterns: an Application of Latent Class Analysis for Daily Diary Data.

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.