Impact of Providing a Personalized Data Dashboard on Ecological Momentary Assessment Compliance Among College Students Who Use Substances: Pilot Microrandomized Trial.

Background: The landscape of substance use behavior among young adults has observed rapid changes over time. Intensive longitudinal designs are ideal for examining and intervening in substance use behavior in real time but rely on high participant compliance in the study protocol, representing a significant challenge for researchers.

Objective: This study aimed to evaluate the effect of including a personalized data dashboard (DD) in a text-based survey prompt on study compliance outcomes among college students participating in a 21-day ecological momentary assessment (EMA) study.

Exploring Resilience and Its Determinants in the Forced Migration of Ukrainian Citizens: A Psychological Perspective.

This study enhances the understanding of resilience in forced migration through a psychological lens, highlighting the importance of identifying resilience determinants and evidence-based interventions. By fostering resilience, policymakers and practitioners can support the well-being and adaptive capacities of forcibly displaced Ukrainians, promoting psychological recovery, social integration, and positive long-term outcomes for affected individuals and communities. To determine the key resilience indicators, survey data were collected in 2023 from = 502 Ukrainian refugees living in the U.

Alcohol and cannabis use in daily lives of college-attending young adults: Does co-use correspond to greater reported pleasure?

Co-use of alcohol and cannabis is prevalent and linked with heightened risk for substance-related harms. The current study investigated the role of substance-related pleasure as a reinforcing factor for co-use relative to alcohol or cannabis use. Specifically, we used data from a 21-day diary study of college students to examine day-level associations between co-use and self-reported substance-related pleasure (any, level of pleasure).

Health and Well-Being Among College Students in the United States During the COVID-19 Pandemic: Daily Diary Study.

Background: There is evidence that anxiety and stress increased among college students during the COVID-19 pandemic. However, less is known about daily experiences of affect, worry, substance use behaviors, experiences of pleasure, concern over food security, experiences of bias or discrimination, feelings of belongingness, and other indicators of well-being and how they vary across days in this population.

Objective: This study surveyed a wide range of indicators of health and well-being in daily life over 21 days with a sample of college students in a large university system in the United States during the pandemic.

Mental Health Modulates Associations between Institutional Belonging and Substance Use Risk.

Objective: The present study aimed to characterize profiles of mental health, incorporating both indicators of psychopathology and well-being, among college students and determine whether institutional belonging differentially relates to past month substance use by mental health profile.

Method: Students ( = 4018; 59.5% female, 74.

Comorbidity between body dissatisfaction and nicotine vaping among young adults in college: a daily diary study.

The purpose of this study was to elucidate comorbidity between body dissatisfaction and nicotine vaping. Participants were 121 college students ( age = 20.51 years; 75.

Negative consequences associated with daily alcohol use as a nonlinear function of number of drinks in a daily diary study.

Introduction: Drinking intensity among young adults is associated with greater negative alcohol-related consequences, but often studied using categorical drinking thresholds. This study examined how alcohol-related consequences varied as a continuous function of number of drinks consumed, without imposing thresholds, to identify drink ranges for which risk is greatest.

Methods: Analyses included daily surveys from the Young Adult Daily Life study (2019-22) in which individuals reported drinking 1 or more alcoholic drinks (n=5219 days; 832 individuals).

Designing voice interfaces to support mindfulness-based pain management.

Objective: Chronic pain is a critical public health issue affecting approximately 20% of the adult population in the United States. Given the opioid crisis, there has been an urgent focus on non-addictive pain management methods including mindfulness-based stress reduction (MBSR). Prior work has successfully used MBSR for pain management.

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.

Identification of prescription opioid misuse and abuse behaviors and risk factors in chronic pain patients using the Prescription Opioid Misuse and Abuse Questionnaire (POMAQ).

Objectives: 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).

Methods: 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.

Age-Varying Associations Between Attempts to Lose Weight and Nicotine Vaping Across Adolescence: Results From a Nationally Representative Sample.

Purpose: The prevalence of nicotine vaping is increasing among adolescents and emerging evidence suggests weight concerns may promote risk for vaping. The aims of this study were to investigate whether there is an association between attempting to lose weight and nicotine vaping during adolescence, when this association emerges and is strongest, and whether there are sex differences in this link.

Methods: This study used time-varying effect modeling, an analytic method that estimates regression coefficients as a continuous function of age, to model dynamic associations between weight loss behavior and nicotine vaping across adolescence and sex differences in these links.

Estimating the Effects of a Complex, Multidimensional Moderator: An Example of Latent Class Moderation to Examine Differential Intervention Effects of Substance Use Services.

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.

Variability in intensively assessed mood: Systematic sources and factor structure in outpatients with opioid use disorder.

In intensive longitudinal studies using ecological momentary assessment, mood is typically assessed by repeatedly obtaining ratings for a large set of adjectives. Summarizing and analyzing these mood data can be problematic because the reliability and factor structure of such measures have rarely been evaluated in this context, which-unlike cross-sectional studies-captures between- and within-person processes. Our study examined how mood ratings (obtained thrice daily for 8 weeks; = 306, person moments = 39,321) systematically vary and covary in outpatients receiving medication for opioid use disorder (MOUD).

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.

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.

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.

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.

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. 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. 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).

Assessing subjective cannabis effects in daily life with contemporary young adult language.

Introduction: Subjective ratings of cannabis effects are important predictors of use-related consequences. However, psychometric research is fairly limited, particularly for measures to capture variability in daily life when diverse modes of cannabis administration and co-substance use are common.

Methods: This study evaluated the predictive utility of a revised item to assess perceived cannabis effects and examined modes of cannabis administration and alcohol and nicotine co-use as moderators.

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.