Prediction of incidence and stability of alcohol use disorders by latent internalizing psychopathology risk profiles in adolescence and young adulthood

Youth risk profiles and their prediction of distal cannabis and tobacco co-use in the Population Assessment of Tobacco Health (PATH)

Background: Co-use of cannabis and tobacco is common and increases negative behavioral, physical and mental health consequences. This study aimed to describe latent profiles of youth internalizing and externalizing problems, sensation seeking, and family environment in the US and their relationships with substance co-use. Methods: Data come from the Population Assessment of Tobacco Health (PATH). Using latent profile analysis with a distal outcome, we conducted a secondary data analysis examining relationships between latent profiles and the distal outcome of cannabis/tobacco use and co-use one year later. Participants were a nationally representative sample of youth ages 12-17 (N = 13,651). Results: We identified five youth subgroups: (1;11%) Family Risk, (2;32%) Family Protection with Very Low Internalizing, (3;21%) Family Protection with High Youth Risk, (4;24%) Family Protection with Moderate Youth Risk, (5;12%) Family Risk with High Youth Risk. Relationships between group membership and tobacco/cannabis outcomes, one year later, indicated that the least likely tobacco/cannabis users were the Family Protection with Very Low Internalizing class (no lifetime use probability (PR)=0.86, standard error (SE)=0.007; no 30-day use PR = 0.96, SE = 0.004). In contrast, the Family Risk with High Youth Risk class had the highest probability of both co-use (lifetime co-use PR = 0.33; SE = 0.014; 30-day co-use PR = 0.10; SE = 0.010) and single substance use (probability of lifetime single substance use PR = 0.30; SE = 0.013; 30-day single substance use PR = 0.24; SE = 0.014). Conclusions: A "protective but reactive" risk buffering pattern effect of family factors on youth factors was observed in that the lowest rates of co-use were observed in the three classes with family protection. These findings highlight the need for interventions addressing multiple domains and focusing on youth and family risk factors.

Young adult predictors of alcohol dependence to age 53: a 44-year prospective cohort study of Danish men

AIMS

To examine if (1) there is a positive association between drinking volume in young men and life-time risk of alcohol dependence (AD) and (2) there are other associations between young adulthood factors and life-time risk of AD.

DESIGN

Prospective cohort study of sons of fathers with alcohol use disorder (AUD) and matched low-risk controls without paternal AUD. Setting and participants A total of 204 men, who were assessed at baseline in 1979 at age 19-20 years, were followed through record linkage with Danish registers and consecutive psychiatric interviews at the ages of 33, 43 and 53 years.

MEASUREMENTS

AD diagnoses were interview-based according to the Diagnostic and Statistical Manual of Mental Disorders, 3rd edition, or made by treating clinicians according to the International Classification of Diseases (ICD) revision 8 (ICD-8) until 1993 and revision 10 (ICD-10) from 1994.We estimated odds ratios (ORs) with 95% confidence intervals (CI) for the development of AD after adjustment for confounders including smoking, social status and paternal AUD.

FINDINGS

The following variables from the examination at age 19-20 independently predicted life-time AD: alcohol consumption > 21 beverages/week versus 0-21 [odds ratio (OR) = 2.46, 95% confidence interval (CI) = 1.22-4.97], police contact (OR = 2.60, 95% CI = 1.28-5.28) and institutionalization related to the individual (OR = 2.90, 95% CI = 1.39-6.02). Compared with < 1 beverages/week, the risk for AD did not increase significantly for drinking volume categories: 1-7, 8-14 or 15-21 beverages/week.

CONCLUSION

Independently of other risk factors in young adulthood, young Danish men's risk for life-time alcohol dependence appears to be predicted by a drinking volume at age 19-20 years exceeding 21 beverages per week.

America's opioid crisis: the need for an integrated public health approach

Continued increases in overdose deaths and recent declines in life expectancy call for need to adopt comprehensive public health approaches to the United States opioid crisis and to establish an infrastructure to avert future crises. Successfully addressing the challenges posed by the crisis requires a translational, integrated approach that combines the contribution of neuroscience, pharmacology, epidemiology, treatment services and prevention. It also is critical to integrate interventions across settings, including healthcare, justice, education and social service systems. This review highlights four interconnected themes: (1) social determinants of health and disease; (2) person-centered approaches for prevention and treatment; (3) bridging the gap between implementation science and practice; and (4) using data to build learning systems of care, relevant to public health approaches to address the opioid crisis. We discuss how across these four themes taking into account the influence of developmental factors on brain function and sensitivity to environmental stimuli including drugs, addressing the complex interactions between biological and social factors, and promoting an ongoing dialogue across disciplines and settings will help accelerate public health advances that are evidenced based and sustainable to address the current opioid crisis and avert future ones.

Predictors of Alcohol Use Disorders Among Young Adults: A Systematic Review of Longitudinal Studies

AIMS

Alcohol use disorders (AUDs) are highly disabling neuropsychiatric conditions. Although evidence suggests a high burden of AUDs in young adults, few studies have investigated their life course predictors. It is crucial to assess factors that may influence these disorders from early life through adolescence to deter AUDs in early adulthood by tailoring prevention and intervention strategies. This review aims to assess temporal links between childhood and adolescent predictors of clinically diagnosed AUDs in young adults.

METHODS

We systematically searched PubMed, Scopus, PsycINFO and Embase databases for longitudinally assessed predictors of AUDs in young adults. Data were extracted and assessed for quality using the Newcastle-Ottawa quality assessment tool for cohort studies. We performed our analysis by grouping predictors under six main domains.

RESULTS AND CONCLUSION

Twenty two studies met the eligibility criteria. The outcome in all studies was measured according to the Diagnostic Statistical Manual of Mental Disorders. Our review suggests strong links between externalizing symptoms in adolescence and AUDs in young adulthood, as well as when externalizing symptoms co-occur with illicit drug use. Findings on the role of internalizing symptoms and early drinking onset were inconclusive. Environmental factors were influential but changed over time. In earlier years, maternal drinking predicted early adult AUD while parental monitoring and school engagement were protective. Both peer and parental influences waned in adulthood. Further high-quality large longitudinal studies that identify distinctive developmental pathways on the aetiology of AUDs and assess the role of early internalizing symptoms and early drinking onset are warranted.

Parenting Practices and Adjustment Profiles among Latino Youth in Rural Areas of the United States

On average, Latino adolescents in the United States (U.S.) are at an elevated risk for developing internalizing symptoms, externalizing behaviors, and engaging in binge drinking. Latino youth in rural U.S. contexts may be particularly at risk. Parent–adolescent relationships may be associated with each of these indicators of maladjustment, as well as the co-occurrence of these issues. In the current study, adjustment profiles based on internalizing symptoms, externalizing behaviors, and binge drinking among 198 Latino adolescents (Mage = 15.90, SD = 1.47) living in rural areas of the United States were examined. Further, the association of adjustment profiles with parental behavioral involvement, parental monitoring, and familial ethnic socialization was tested. Four adjustment profiles emerged from a cluster analysis (i.e., low risk, internalizing risk, externalizing risk, co-occurring risk). Results indicated that adolescents in the co-occurring risk profile reported the lowest levels of parental monitoring compared to the other three profiles, lower familial ethnic socialization compared to the low risk and internalizing risk profiles, and lower parental behavioral involvement compared to the internalizing risk profile. The findings have implications for family-based, culturally informed interventions to encourage positive adjustment among Latino adolescents in rural areas of the United States.

Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users

BACKGROUND

In the United States, 13% of adults are estimated to have alcohol use disorder (AUD). Most studies examining the neurobiology of AUD treat individuals with this disorder as a homogeneous group; however, the theories of the neurocircuitry of AUD call for a quantitative and dimensional approach. Previous imaging studies find differences in brain structure, function, and resting-state connectivity in AUD, but few use a multimodal approach to understand the association between severity of alcohol use and the brain differences.

METHODS

Adults (ages 22-60) with problem drinking patterns (n = 59) completed a behavioral and neuroimaging protocol at the National Institutes of Health. Alcohol severity was quantified with the Alcohol Use Disorders Identification Test (AUDIT). In a 3 T MRI scanner, participants underwent a structural MRI as well as resting-state, monetary incentive delay, and face matching fMRI scans. Machine learning was applied and trained using the neural data from MRI scanning. The model was tested for generalizability in a validation sample (n = 24).

RESULTS

The resting state-connectivity features model best predicted AUD severity in the naïve sample, compared to task fMRI, structural MRI, combined MRI features, or demographic features. Network connectivity features between salience network, default mode network, executive control network, and sensory networks explained 33% of the variance associated with AUDIT in this model.

CONCLUSIONS

These findings indicate that the neural effects of AUD vary according to severity. Our results emphasize the utility of resting state fMRI as a neuroimaging biomarker for quantitative clinical evaluation of AUD.

Yield and Efficiency of Mental Disorder Screening at Intake to Prison: A Comparison of DIA-X Short- and Long-Screening-Protocols in Compensation Prisoners

Background: Inmates are several times more likely to suffer from mental disorders than the general population.In order to take appropriate curative or preventive measures, a precise psychiatric diagnosis at detention start would therefore be imperative, but is frequently not carried out for reasons of time. The computer-aided expert system DIA-X enables a rapid and reliable diagnosis of psychiatric disorders. DIA-X is available as a short screening questionnaire with a processing time of a few minutes and as a standardized interview, which takes ~1 h to complete. Objective: The aim of this study was to assess the efficiency and accuracy of the DIA-X short screening questionnaire. Methods: One hundred detainees were recruited randomly from compensation prisoners, who were imprisoned because they were unwilling or unable to pay a fine for committing a criminal offence, from the penal institution Berlin-Plötzensee in 2017. Both the short screening questionnaire and the standardized interview from the DIA-X expert system were used for diagnosing mental disorders. Based on the results of the standardized interview from four study populations of compensation prisoners from 1999, 2004, 2010, and 2017, the sensitivity, specificity and the predictive values of the screening form were inferred. Results: More than half of the compensation prisoners suffered from mental and behavioral disorders caused by the abuse of alcohol or psychoactive substances. Phobic anxiety disorders were detected in one out of ten compensation prisoners and two out of ten compensation prisoners suffered from major depressive disorders. The DIA-X screening questionnaire was able to detect all mental illnesses with a sensitivity of 100%. However, specificities were low for nicotine dependency, drug and alcohol abuse. High specificities and high predictive values were obtained for psychoses and anxiety disorders. Conclusions: As the main test quality criteria of the DIA-X screening forms were so low, we cannot recommend the application of the DIA-X screening form for obtaining a valid diagnosis. Therefore, we explicitly recommend using the long form DIA-X for the detection of the most serious cases of mental illness. Then, these prisoners could receive either therapy or special social training.