Variance Decomposition of the Continuous Assessment of Interpersonal Dynamics (CAID) system: Assessing sources of influence and reliability of observations of parent-teen interactions.

The Continuous Assessment of Interpersonal Dynamics (CAID) is an observational tool that measures warmth and dominance dynamics in real time and is sensitive to individual, dyadic, and contextual influences. Parent-adolescent interpersonal dynamics, which conceptually map onto parenting styles, are an integral part of positive adolescent adjustment and protect against risky outcomes. The current study's goal was to test the degree to which sources of influence on CAID data observed in a previous study of married couples generalize to a sample of parent-adolescent dyads. We examined data from ten raters who rated moment-to-moment warmth and dominance using CAID in a sample of 61 parent-adolescent dyads (N = 122) who were largely non-Hispanic White (62%) or African American (30%) based on parent report (adolescent M age = 14; 57% female). Dyads interacted in four different discussion segments (situations). We applied Generalizability Theory to delineate several sources of variance in CAID parameters and estimated within and between-person reliability. Results revealed a number of different influences, including the person, kinsperson (adolescent versus parent), dyad, rater, situation, and interactions among these factors, on ratings of parent-adolescent interpersonal behavior. These results largely replicate results from married couples, suggesting that the factors that influence ratings of interpersonal interactions largely generalize across sample types.

The Acquired Preparedness Model of Cannabis Use in Emerging Adulthood: Comparing Within-Person and Between-Person Effects.

OBJECTIVE: The acquired preparedness model (APM) posits that high sensitivity to reward biases individuals to learn and maintain positive outcome expectancies, which in turn increase substance use, and that high sensitivity to punishment biases individuals to learn and maintain negative outcome expectancies, decreasing use. Little work has applied the APM to cannabis use, particularly with longitudinal data and methods that separate within- and between-person associations. The current study addressed these gaps. METHOD: The sample comprised 314 emerging adults (age range: 19.13-21.39 years; 52% female; predominantly non-Hispanic White [76%] or African American [15%]) recruited using random-digit dialing. Data were taken from three annual assessments. Latent curve models with structure residuals were used to distinguish between- and within-person associations. We controlled for bidirectional associations and demographic covariates. RESULTS: At the between-person level, high sensitivity to reward was related to high positive expectancies and high cannabis use. High positive expectancies were associated with high cannabis use. High sensitivity to punishment was related to high negative expectancies and low cannabis use. No within-person associations were supported. CONCLUSIONS: These findings suggest a risk profile for emerging adult cannabis use involving high sensitivity to reward and positive expectancies and a protective profile involving high sensitivity to punishment and negative expectancies. However, our findings did not support the notion that the proposed learning processes unfold within individuals across annual assessments. Most notably, the findings emphasize the importance of disaggregating within- and between-person associations using a longitudinal design to better understand pathways to cannabis use in the developmental period of emerging adulthood.

Substance Use, Gambling, Binge-Eating, and Hypersexuality Symptoms Among Patients Receiving Opioid Agonist Therapies.

BACKGROUND AND OBJECTIVES: Patients receiving opioid agonist therapies have high rates of psychiatric comorbidity. Some data suggest that comorbidity is associated with poorer treatment outcomes. The current study assessed predictors of multiple putative addictive behaviors among patients receiving opioid agonist therapies. METHODS: Adults (N = 176) recruited from an outpatient clinic providing opioid agonist therapy completed self-report measures of depression, anxiety, impulsivity, adverse childhood events, and the Recognizing Addictive Disorders (RAD) scale, which includes seven subscales assessing symptoms related to alcohol use, drug use, tobacco use, gambling, binge-eating, hypersexual behavior, and excessive video-gaming. Linear regression and hurdle models identified significant predictors of RAD subscales. Hurdle models included logistic regression estimation for the presence/absence of symptoms and negative binomial regression for estimation of the severity of symptoms. RESULTS: Most patients did not report significant symptoms beyond drug or tobacco use. However, 7% to 47% of participants reported some symptoms of other addictive behaviors (subscale score > 0). Higher impulsivity predicted the presence and/or increased severity of symptoms of drug use, gambling, binge-eating, and hypersexuality. Higher depression significantly predicted increased severity of drug use and binge-eating symptoms. Increased anxiety predicted lower severity of alcohol use and binge-eating and higher severity of smoking symptoms. CONCLUSION AND SCIENTIFIC SIGNIFICANCE: A broader range of potentially addictive symptoms may be present among patients engaged in treatment for opioid use disorder. Few studies have assessed symptoms of binge-eating, hypersexuality, and excessive video-gaming among patients receiving opioid agonist therapy. This study contributes to preliminary findings and highlights important future directions. (Am J Addict 2021;00:00-00).