Longitudinal Modeling of the Association Between Transmissible Risk, Affect During Drug Use and Development of Substance Use Disorder

Developmental trajectory classes in psychological dysregulation predict later decision-making competence

Adolescence and emerging adulthood are developmental periods associated with increased risk taking, including alcohol and substance use and antisocial behaviors. Typical psychological growth from adolescence into early adulthood reflects increases in traits related to psychological regulation (e.g., greater emotional stability and less impulsivity), which are typically considered protective factors against risk behaviors. However, individuals may vary greatly in their development of these characteristics. This study examines the degree to which heterogeneity in developmental trajectories of psychological regulation are associated with later performance on decision-making skills battery. In this study, psychological regulation was assessed at age 10-12, with follow-up assessments at 14, 16, and 19 years. At age 19, we administered the Youth Decision-Making Competence (DMC; Parker & Fischhoff, 2005) measure. Correlational analyses revealed that lower psychological regulation, as early as age 10, was associated with lower DMC scores. A latent class growth mixture model yielded three distinct developmental trajectory classes of psychological dysregulation: (a) a Moderate-Stable group, a modal class that demonstrated stable and average regulative tendencies throughout adolescence, (b) a Low-Decreasing group, which demonstrated greater self-regulation throughout childhood, and a (c) High-Increasing group, which demonstrated low self-regulative tendencies (higher dysregulation) at age 10 that became increasingly dysregulated throughout adolescence. Individuals in the High-Increasing group demonstrated lower DMC performance than those in the Moderate-Stable and Low-Decreasing groups. Our findings also reinforce past work that indicates considerable individual differences in intra-individual change across adolescence, and that early patterns of psychological dysregulation development can impact later decision-making tendencies.

The intergenerational transmission of harsh parenting, substance use, and emotional distress: Impact on the third-generation child

The current study evaluated the intergenerational transmission of harsh parenting, substance use, and emotional distress across generations and the association with child aggression. The study included 218 Generation 1 (G1) mothers and fathers, their adolescent (Generation 2; G2) who participated from middle adolescence through adulthood, and the 3rd-generation (G3) child between ages 3-5 years and 6-10 years. G1 behavior was examined when G2 was 16 and 18 years old; G2 alcohol problems and marijuana use were assessed when G2 was 19 and 21 years old. G2 emotional distress and harsh parenting were examined when the G3 child was between 3 and 5 years old. Finally, G3 aggression was assessed between 6 and 10 years old. Results showed continuity of G1 behavior when G2 was in adolescence to G2 behavior in adulthood. G1 alcohol problems and G1 harsh parenting were both associated with G3 aggression through G2 alcohol problems, G2 emotional distress, and G2 harsh parenting. Results suggest that G1 problem behavior as experienced by G2 adolescents in the family of origin plays an important role in G2 alcohol problems in emerging adulthood, which leads to G2 emotional distress and G2 harsh parenting in adulthood, which is related to G3 aggression in the early elementary school years. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

A preliminary risk prediction model for cannabis use disorder

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Substance use disorders are currently a major public health crisis in the US.

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The prevalence of cannabis use disorder is rising due to legalization of cannabis.

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This study built models to predict the risk of cannabis use disorder for a user.

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Risk factors include personality traits, impulsivity and initial smoking enjoyment.

The ongoing trend toward legalization of cannabis for medicinal/recreational purposes is expected to increase the prevalence of cannabis use disorder (CUD). Thus, it is imperative to be able to predict the quantitative risk of developing CUD for a cannabis user based on their personal risk factors. Yet no such model currently exists. In this study, we perform preliminary analysis toward building such a model. The data come from n = 94 regular cannabis users recruited from Albuquerque, New Mexico during 2007–2010. As the data are cross-sectional, we only consider risk factors that remain relatively stable over time. We apply statistical and machine learning classification techniques that allow n to be small relative to the number of predictors. We use predictive accuracy estimated using leave-one-out-cross-validation to evaluate model performance. The final model is a LASSO logistic regression model consisting of the following seven risk factors: age; level of enjoyment from initial cigarette smoking; total score on Impulsive Sensation-Seeking Scale questionnaire; score on cognitive instability factor of Barratt Impulsivity Scale questionnaire; and scores on neuroticism, openness, and conscientiousness personality traits of Neuroticism, Extraversion, and Openness inventory. This model has an overall accuracy of 0.66 and the area under its receiver operating characteristic curve is 0.65. In summary, a preliminary relative risk model for predicting the quantitative risk of CUD is developed. It can be employed to identify users at high risk of CUD who may be provided with early intervention.

Multidisciplinary team actions of a Brazilian Psychosocial Care Center for Alcohol and Drugs

OBJECTIVE

to investigate the criteria used by health professionals to identify the phase of consumption of alcohol and drug users, and actions directed to their care.

METHOD

a qualitative study developed with 14 professionals from a Brazilian Psychosocial Care Center for Alcohol and Drugs (Centro de Atenção Psicossocial Álcool e Drogas) based in the south of the country. Data were collected in June 2017 through semi-structured interviews and then submitted to thematic analysis.

RESULTS

the criteria used by the professionals were: periodicity of use; amount and type of drug used; repercussions of misuse; and place that the drug occupies in the person's life. The actions developed were orientation and referral to support groups, therapeutic workshops and individual care.

FINAL CONSIDERATIONS

the chronic nature of alcohol/drug use/dependence requires specific care in each phase, and objective criteria to identify and intervene in early phases, aiming at the prevention of chemical dependence.

A new approach to researching the etiology of cannabis use disorder: integrating transmissible and nontransmissible risk within a developmental framework

Rapidly occurring changes in law enforcement and licensing of retail outlets to sell marijuana raises the prospect that the population of consumers will expand and accordingly the prevalence of cannabis use disorder (CUD) will increase. This report presents a novel approach to researching CUD etiology joining multivariate and ontogenetic perspectives. CUD is conceptualized as a developmental outcome consisting of transmissible (intergenerational) and nontransmissible components. Partitioning the liability for CUD into these 2 dimensions enables implementing interventions targeted at the particular source and severity of risk. In addition, results showing that infant temperament disturbances predict transmissible risk leading to CUD 2 decades later underscore the importance of implementing early prevention.