Bidirectional associations between self-regulation and deviance from adolescence to adulthood.

Self-regulation is considered a major predictor of crime and deviant behavior. However, longitudinal research investigating these associations, frequently looked only at the effect of self-regulation on deviant behavior, but not the other way around. The current study argued that deviance may contribute to later problems in self-regulation, and examined bidirectional associations, comparing a unidirectional and bidirectional model of associations between these variables. A Random Intercept Cross-Lagged Panel Model and eight data waves from 772 participants, aged 10-12 years to 30 years were used. Results showed that a bidirectional model fit the data better than a unidirectional model. The final model revealed an influence of deviance on self-regulation mainly in adolescence, whereas self-regulation influenced deviance only over two time points in adulthood. The results suggest that, in adolescence, problems in self-regulation may follow, rather than precede deviant behavior. Thus, decreasing deviant behavior or intervening in the aftermaths of deviant behavior in adolescence might have a positive effect on self-regulation in young adulthood, lowering the chance of adult deviant behavior. The current study shows that the long-presumed directionality of self-regulation to deviance can lead to bias, and more rigorous longitudinal research is needed in order to further inform theory and practice.

Do the Transmissible Liability Index (TLI) and Adolescent Cannabis Use Predict Paranoid and Schizotypal Symptoms at Young Adulthood?

Background: Adolescent cannabis use is an established risk factor for the development of psychosis, but the premorbid vulnerability factors and specificity versus generality of the psychotic symptom domains affected in cannabis-psychosis relationships remain incompletely understood. To improve our understanding of these relationships, we used longitudinal data to examine the individual and interactive effects of preadolescent transmissible liability to substance use disorders (SUD), measured via the transmissible liability index (TLI), and adolescent cannabis use on the development of two distinct psychotic symptom domains, paranoid and schizotypal personality traits in young adulthood. Methods: We performed secondary analysis of data from the Center for Education and Drug Abuse (CEDAR) study, which longitudinally assessed offspring of men with (N = 211) and without (N = 237) lifetime history of SUD at ages 10-12, and across adolescence as they transitioned to young adulthood. TLI scores were calculated at age 10-12, self-reported cannabis use was assessed at age 16, and paranoid and schizotypal symptoms were assessed at age 19. Results: Cannabis use at age 16 and family history of SUD were significantly associated with paranoid and schizotypal symptoms at age 19, but TLI scores were not. The interactive effect of TLI x cannabis use was also not significant. Paranoid and schizotypal symptoms showed different dose-dependent sensitivities to cannabis exposure at age 16. Conclusions: These findings indicate that adolescent cannabis use and family history of SUD differentially contribute to the development of paranoid and schizotypal personality traits through mechanisms that do not include behavioral disinhibition.

Forecasting Opioid Use Disorder at 25 Years of Age in 16-Year-Old Adolescents.

OBJECTIVE: To evaluate the accuracy of detecting 16-year-old male (n = 465) and female (n = 162) youths who subsequently manifest opioid use disorder (OUD) at 25 years of age. We hypothesized that the combined measures of 2 components of etiology, heritable risk, and substance use, accurately detect youths who develop OUD. STUDY DESIGN: Heritable risk was measured by the transmissible liability index (TLI). Severity of the prodrome presaging OUD was quantified by the revised Drug Use Screening Inventory containing the consumption frequency index (CFI) documenting substance use events during the past month and the overall problem density (OPD) score indicating co-occurring biopsychosocial problems. Diagnosis of OUD was formulated by a clinical committee based on results of the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition in conjunction with medical and social history records. RESULTS: Bivariate analysis shows that the TLI, CFI, and OPD scores at 16 years of age predict OUD at 25 years. Multivariate modeling indicates that the TLI combined with the CFI predict OUD with 86% accuracy (sensitivity = 87%; specificity = 62%). The TLI and CFI at 16 years of age mediate the association between parental substance use disorder and OUD in offspring at 25 years of age, indicating that these measures respectively evaluate risk and prodrome. CONCLUSIONS: These results demonstrate the feasibility of identifying youths requiring intervention to prevent OUD.

Derivation and assessment of the opioid use disorder severity scale: prediction of health, psychological and social adjustment problems.

Background: Severity of substance use disorder (SUD) is typically evaluated by tabulating the number of symptoms. The resulting estimate of disorder severity is, however, biased due to intercorrelations among symptoms and their unequal salience. Objective. Employing item response theory (IRT) methodology, opioid use disorder symptoms were calibrated to derive the Opioid Use Disorder Severity Scale (OUDSS) and assess its predictive ability in men and women separately. Methods: A two-parameter IRT model was utilized to derive the OUDSS from DSM-IV symptoms recorded on the Structured Clinical Interview for DSM-IV (SCID) in 438 men and 429 women who reported at least one lifetime opioid consumption event. The predictive ability of the OUDSS was evaluated using the 10 health, psychological, and social adjustment domains of the revised Drug Use Screening Inventory (DUSI-R) assessed 2 years later. Results: The OUDSS score predicted the severity of problems in all 10 DUSI-R domains in men and women. The OUDSS also predicted the DUSI-R diagnostic cutoff score of overall problem density score in men and women (OR = 2.21 and OR = 4.83, respectively). Withdrawal was the most frequently endorsed symptom in this sample of opioid users. The other symptoms' frequencies, while somewhat lower than withdrawal's, did not differ from it substantially, indicating a similar severity threshold. Conclusions: OUDSS enables dimensional measurement of opioid use severity on an interval scale. The OUDSS and DUSI-R together can identify problem areas requiring prevention or treatment.

Correspondence of Pubertal Neuroendocrine and Tanner Stage Changes in Boys and Associations With Substance Use.

This study examined correspondence between timing (onset) and tempo (rate) of sexual maturation prospectively (average ages 11-16 years) measured by gonadal hormones and secondary sex characteristics (Tanner stage) using dual-process models, and associations of these measures with substance use (SU) involvement in boys at age 16 years (N = 534, 77.5% White/22.5% Non-White). All measures of timing were highly associated. Early Tanner stage timing often predicted slower increases in gonadal steroids, but not the reverse; patterns varied by ethnicity. Hormone and Tanner stage measures were similar earlier in development but diverged later in development. In White boys only, early timing of the pubertal rise in testosterone was associated with increased SU involvement, suggesting a physiological rather than psychosocial mechanism of association.

Association of cognitive function and liability to addiction with childhood herpesvirus infections: A prospective cohort study.

Liability to substance use disorder (SUD) is largely nonspecific to particular drugs and is related to behavior dysregulation, including reduced cognitive control. Recent data suggest that cognitive mechanisms may be influenced by exposure to neurotropic infections, such as human herpesviruses. In this study, serological evidence of exposure to human herpesvirus Herpes simplex virus Type 1 (HSV-1), cytomegalovirus (CMV), and Epstein-Barr virus (EBV) as well as Toxoplasma gondii was determined in childhood (age ~11 years) in 395 sons and 174 daughters of fathers with or without SUD. Its relationships with a cognitive characteristic (IQ) in childhood and with risk for SUD in adulthood were examined using correlation, regression, survival, and path analyses. Exposure to HSV-1, EBV, and T. gondii in males and females, and CMV in males, was associated with lower IQ. Independent of that relationship, EBV in females and possibly in males, and CMV and possibly HSV-1 in females were associated with elevated risk for SUD. Therefore, childhood neurotropic infections may influence cognitive development and risk for behavior disorders such as SUD. The results may point to new avenues for alleviating cognitive impairment and SUD risk.

Review of hookah tobacco smoking among college students: policy implications and research recommendations.

BACKGROUND: About 30% of college students have smoked hookah tobacco. Although most students perceive this product to be innocuous and non-addictive, hookah tobacco increases the risk for disease and nicotine dependence. Currently, the US Food and Drug Administration (FDA) does not regulate the manufacture, distribution, or sale of hookah tobacco. OBJECTIVE: Empirical literature pertaining to hookah tobacco smoking is reviewed with a focus on the implications for regulatory policy. METHODS: PubMed, PsycINFO, and Scopus databases were searched to locate articles published in English. The literature search combined several key words including "hookahs", "college", "advertising", "health effects", and "health policy". RESULTS: Smoking hookah tobacco may play a role in the initiation of smoking among tobacco-naïve college students and may portend persistent smoking among those who have smoked cigarettes. College students are typically nondaily, social smokers. They do not perceive that their heightened risk for tobacco diseases and nicotine dependence relates to their smoking behavior. However, few public health messages target college-age adults to counter media messages that endorse hookah tobacco smoking. CONCLUSION: Given that the FDA is not authorized to ban specific tobacco products, policy actions should focus on the development of effective risk communication strategies that target college-age adults and on limiting the accessibility of hookah tobacco products to these adults. Accordingly, a research agenda that would inform these policy actions is proposed.

Temperament disturbances measured in infancy progress to substance use disorder 20 years later.

OBJECTIVE: This prospective study determined whether temperament before two years of age predicts transmissible risk for substance use disorder (SUD) up to a decade later and SUD outcome in adulthood. METHOD: Boys between 10 and 12 years of age (N = 482) were tracked to age 22. The previously validated transmissible liability index (TLI) was administered at baseline, and temperament prior to two years of age was retrospectively rated. The Structured Clinical Interview for DSM-III-R (SCID) was administered to document presence/absence of SUD for parents at baseline and sons at age 22. RESULTS: Path analysis revealed that number of parents with SUD predicted severity of temperament disturbance in their sons which in turn predicted TLI score at age 10-12, presaging SUD. Temperament before age two did not predict SUD at age 22. The association between number of SUD parents and transmissible risk was mediated by severity of temperament disturbance. CONCLUSION: Temperament disturbance in early childhood, reflecting quality of behavioral and emotion regulation, comprise psychological antecedents of transmissible risk for SUD.

Psychological dysregulation during adolescence mediates the association of parent-child attachment in childhood and substance use disorder in adulthood.

OBJECTIVE: This prospective study tested the hypothesis that psychological dysregulation in mid-adolescence (age 16) mediates the association between parent-child attachment in late childhood (age 10-12) and development of substance use disorder (SUD) in adulthood (age 22). METHOD: The Youth Attachment to Parents Scale (YAPS) was developed in 10-12-year-old boys and girls (N = 694) at baseline residing in western Pennsylvania. Psychological dysregulation was measured by the neurobehavior disinhibition trait. Substance use was assessed at ages 10-12, 12-14, 16 and 19. SUD was diagnosed at age 22 using the Structured Clinical Interview for DSM Disorders. The mediation of parent-child attachment and SUD by neurobehavior disinhibition was tested separately for mothers and fathers while controlling for baseline substance use. RESULTS: Psychological dysregulation mediates the association between attachment to mothers and SUD, and partially mediates the association between attachment to fathers and SUD. Significant mediation effects remains after controlling for baseline substance use. CONCLUSION: Optimal prevention of SUD should include ameliorating both psychological dysregulation predisposing to SUD and quality of the parent-child relationship.

Longitudinal modeling of transmissible risk in boys who subsequently develop cannabis use disorder.

BACKGROUND: Risk for substance use disorder is frequently transmitted across generations due to significant heritability. OBJECTIVE: This longitudinal study tests the hypothesis that initial exposure to cannabis in youths having high transmissible risk is a signal event promoting development of cannabis use disorder (CUD). METHODS: At age 22, 412 men were classified into three groups: (1) lifetime CUD, (2) cannabis use without CUD, and (3) no lifetime cannabis use. Transmissible risk, quantified on a continuous scale using the previously validated transmissible liability index (TLI), along with cannabis use and CUD were documented at 10-12, 12-14, 16, 19, and 22 years of age. RESULTS: The CUD group scored higher on the TLI before they began cannabis use compared to the other two groups. In addition, a progressive increase in TLI severity was evinced by the CUD group beginning at the time of initiation of cannabis use whereas cannabis users who did not subsequently develop CUD exhibited a decline in transmissible risk following first exposure. CONCLUSION: Initial use of cannabis potentiates development of CUD in youths who are at high transmissible risk but is inconsequential in youths having low risk. The practical ramifications of these results for prevention are discussed.

High and low neurobehavior disinhibition clusters within locales: implications for community efforts to prevent substance use disorder.

BACKGROUND: Knowledge of where substance use and other such behavioral problems frequently occur has aided policing, public health, and urban planning strategies to reduce such behaviors. Identifying locales characterized by high childhood neurobehavioral disinhibition (ND), a strong predictor of substance use and consequent disorder (SUD), may likewise improve prevention efforts. OBJECTIVES: The distribution of ND in 10-12-year olds was mapped to metropolitan Pittsburgh, PA, and tested for clustering within locales. METHODS: The 738 participating families represented the population in terms of economic status, race, and population distribution. ND was measured using indicators of executive cognitive function, emotion regulation, and behavior control. Innovative geospatial analyzes statistically tested clustering of ND within locales while accounting for geographic barriers (large rivers, major highways), parental SUD severity, and neighborhood quality. RESULTS: Clustering of youth with high and low ND occurred in specific locales. Accounting for geographic barriers better delineated where high ND is concentrated, areas which also tended to be characterized by greater parental SUD severity and poorer neighborhood quality. CONCLUSIONS AND SIGNIFICANCE: Offering programs that have been demonstrated to improve inhibitory control in locales where youth have high ND on average may reduce youth risk for SUD and other problem behaviors. As demonstrated by the present results, geospatial analysis of youth risk factors, frequently used in community coalition strategies, may be improved with greater statistical and measurement rigor.

Physical inactivity during adolescence heightens risk for cannabis use disorder in adulthood.

The association between physical inactivity and substance use throughout adolescence was prospectively investigated in relation to developing cannabis use disorder (CUD). Physical inactivity and substance use in males (N = 462) and females (N = 178) were measured at 12-14, 16, 19, and 22 years of age in a repeated measures design. A structured diagnostic interview was administered to formulate current CUD diagnosis at 22 years of age. Mixture modeling path analysis evaluated the association between physical inactivity, substance use, and CUD. Males: Slope of physical inactivity increase spanning 12-22 years of age mediates the association between number of parents with substance use disorder (SUD) and rate of increase in substance use frequency (prodrome) which mediates the association between physical inactivity (hypothesized vulnerability) and CUD. Females: Number of SUD parents predicts slope of physical inactivity increase in daughters throughout adolescence which covaries with slope of increasing substance use frequency culminating in CUD. The association between parental SUD load (number of SUD affected parents) and CUD was found to not be mediated by physical inactivity. Rate of increase in physical inactivity during adolescence in males and females is a facet of the vulnerability for CUD. These results have ramifications for prevention considering that numerous cognitive, behavior, and emotion features of CUD vulnerability are attenuated by exercise. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Revisiting the concepts of risk and protective factors for understanding the etiology and development of substance use and substance use disorders: implications for prevention.

Over the past 20 years we have accumulated a greater knowledge and understanding of the genetic, neurobiological, and behavioral factors that may be associated with young people initiating the use of drugs and other substances and to progressing from use to abuse and dependence. This knowledge suggests that individuals may be "predisposed" to substance use disorders (SUD) and that the actual engagement in these behaviors depends on their environmental experiences from micro to macro levels. This paper summarizes this knowledge base and supports a developmental framework that examines the interaction of posited genetic, psychological, and neurobiological "predispositions" to SUD and those environmental influences that exacerbate this vulnerability.

Marijuana But Not Alcohol Use During Adolescence Mediates the Association Between Transmissible Risk for Substance Use Disorder and Number of Lifetime Violent Offenses.

AIM: This study determined the extent to which alcohol and marijuana use during adolescence mediates the relation between transmissible risk for substance use disorder (SUD) and lifetime number of different types of violent offenses. METHODS: The transmissible liability index was administered to 359 10-12 year old youths who were tracked to 22 years of age. Past year frequency of alcohol and marijuana consumption was longitudinally tracked to age 22 at which time lifetime violent offenses was recorded. RESULTS: Rate of increase in marijuana use mediated the association between transmissible risk and lifetime number of different types of violent offenses. No association was found between past year frequency of alcohol use and violent offenses. CONCLUSIONS: Prevention directed at lowering the psychological characteristics associated with transmissible risk for SUD may also reduce violent offending.

Multivariate Comparison of Male and Female Adolescent Substance Abusers with Accompanying Legal Problems.

PURPOSE: The factors that distinguish adolescent male and female substance abusers with and without legal problems were investigated. METHOD: Youths (N = 4,071) admitted for substance abuse treatment were administered the revised Drug Use Screening Inventory (DUSI-R) to measure severity of health, behavior, and social adjustment problems. RESULTS: Legal problems were more frequent among boys; however, severity of disturbance was greater in girls on 9 of 10 scales. Substance abusing girls and boys with legal problems reported more severe behavior, substance abuse, family adjustment, and peer relationship problems than substance abusing peers without legal problems. Quality of peer relationship mediated the association of family dysfunction, substance abuse and behavior problems with legal problems in boys only. CONCLUSIONS: Gender and legal status both need to be taken into account to potentiate treatment prognosis of substance abusing youths.

Liver transplant recipients: individual, social, and environmental resources.

CONTEXT: Patient characteristics are important in the liver transplant population because of proven associations between individual and environmental factors, treatment adherence, and health outcomes in general medical and other transplant populations. OBJECTIVE: To determine generalizability of the sample to other liver transplant populations and to establish reliability of measures used to assess individual and environmental resources. DESIGN: Cross-sectional analysis of baseline data in a longitudinal study of adherence and health outcomes. PARTICIPANTS, SETTING: Ninety first-time adult liver transplant recipients at the University of Pittsburgh Medical Center completed assessments of sociodemographic, health history, psychosocial, and environmental factors shortly after surgery; adherence and health outcomes were tracked throughout the study. RESULTS: The medical center cohort was older, less racially diverse, and contained more living donors than the national sample. Our sample was generally comparable to the medical center cohort on pretransplant sociodemographic and clinical characteristics. Reliability/internal consistency on psychological measures was similar between our sample and most published norms. The mean scores on all coping scales in our sample were higher than normative. Our patients indicated a more negative perception of family environment and perceived relationships with their primary caregiver more positively than did the normative group. CONCLUSION: The generalizability of our sample to the parent population and reliability of individual and environmental measures reported here will enable us to examine relationships and the value of patient and contextual resources for predicting treatment adherence and health outcomes among liver transplant recipients.

Individual and environmental correlates and predictors of early adherence and outcomes after liver transplantation.

CONTEXT: Little is known about patients' contribution to health outcomes after liver transplantation. Yet, in other transplant recipients, nonadherent behavior is directly related to the leading causes of morbidity and mortality in liver transplant recipients. OBJECTIVE: To examine patient and environmental factors in relation to all aspects of adherence to the posttransplantation regimen and health outcomes in the first 6 months after transplantation. DESIGN: A descriptive analysis of individual and environmental factors in relation to adherence and health outcomes at 6 months after liver transplantation. PARTICIPANTS, SETTING: One hundred fifty-two adult liver transplant recipients at the University of Pittsburgh Medical Center. MAIN OUTCOME MEASURES: Adherence to medication taking, appointment keeping, lifestyle changes, mood, quality of life, and clinical markers of liver function. RESULTS: Nonadherence was prevalent (47% with appointments, 73% with medication); relapse to drug/alcohol use occurred among a few recipients (5.6%), all with a history of substance abuse before transplantation. Patterns of coping, decision making, attitude, and social support were correlated with adherence, clinical markers, and psychological function (r = 0.22-0.45). Avoidant coping, affective dysregulation, and caregiver support emerged as robust predictors of negative clinical and mental health outcomes (beta = .224-.363). CONCLUSION: This information about liver transplant recipients is important for researchers and clinicians. Researchers can develop guidelines by using stable but modifiable characteristics of patients to identify transplant candidates at risk of nonadherence. Such guidelines would enable clinicians to prepare patients better to manage the posttransplant regimen.

Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder.

BACKGROUND: Substance use disorder (SUD) exacts enormous societal costs in the United States, and it is important to detect high-risk youths for prevention. Machine learning (ML) is the method to find patterns and make prediction from data. We hypothesized that ML identifies the health, psychological, psychiatric, and contextual features to predict SUD, and the identified features predict high-risk individuals to develop SUD. METHOD: Male (N = 494) and female (N = 206) participants and their informant parents were administered a battery of questionnaires across five waves of assessment conducted at 10-12, 12-14, 16, 19, and 22 years of age. Characteristics most strongly associated with SUD were identified using the random forest (RF)algorithm from approximately 1000 variables measured at each assessment. Next, the complement of features was validated, and the best models were selected for predicting SUD using seven ML algorithms. Lastly, area under the receiver operating characteristic curve (AUROC) evaluated accuracy of detecting individuals who develop SUD+/- up to thirty years of age. RESULTS: Approximately thirty variables strongly predict SUD. The predictors shift from psychological dysregulation and poor health behavior in late childhood to non-normative socialization in mid to late adolescence. In 10-12-year-old youths, the features predict SUD+/- with 74% accuracy, increasing to 86% at 22 years of age. The RF algorithm optimally detects individuals between 10-22 years of age who develop SUD compared to other ML algorithms. CONCLUSION: These findings inform the items required for inclusion in instruments to accurately identify high risk youths and young adults requiring SUD prevention.

Analysis of substance use and its outcomes by machine learning: II. Derivation and prediction of the trajectory of substance use severity.

BACKGROUND: This longitudinal study explored the utility of machine learning (ML) methodology in predicting the trajectory of severity of substance use from childhood to thirty years of age using a set of psychological and health characteristics. DESIGN: Boys (N = 494) and girls (N = 206) were recruited using a high-risk paradigm at 10-12 years of age and followed up at 12-14, 16, 19, 22, 25 and 30 years of age. MEASUREMENTS: At each visit, the subjects were administered a comprehensive battery to measure psychological makeup, health status, substance use and psychiatric disorder, and their overall harmfulness of substance consumption was quantified according to the multidimensional criteria (physical, dependence, and social) developed by Nutt et al. (2007). Next, high- and low- substance use severity trajectories were derived differentially associated with probability of segueing to substance use disorder (SUD). ML methodology was employed to predict trajectory membership. FINDINGS: The high-severity trajectory group had a higher probability of leading to SUD than the low-severity trajectory (89.0% vs 32.4%; odds ratio = 16.88, p < 0.0001). Thirty psychological and health status items at each of the six visits predict membership in the high- or low-severity trajectory, with 71% accuracy at 10-12 years of age, increasing to 93% at 22 years of age. CONCLUSION: These findings demonstrate the applicability of the machine learning methodology for detecting membership in a substance use trajectory with high probability of culminating in SUD, potentially informing primary and secondary prevention.