A Prospective Comparison of How the Level of Response to Alcohol and Impulsivity Relate to Future DSM-IV Alcohol Problems in the COGA Youth Panel

The collaborative study on the genetics of alcoholism: Sample and clinical data

The collaborative study on the genetics of alcoholism (COGA) is a multi-site, multidisciplinary project with the goal of identifying how genes are involved in alcohol use disorder and related outcomes, and characterizing how genetic risk unfolds across development and in conjunction with the environment and brain function. COGA is a multi-generational family-based study in which probands were recruited through alcohol treatment centers, along with a set of community comparison families. Nearly 18,000 individuals from >2200 families have been assessed over a period of over 30 years with a rich phenotypic battery that includes semi-structured psychiatric interviews and questionnaire measures, along with DNA collection and electrophysiological data on a large subset. Participants range in age from 7 to 97, with many having longitudinal assessments, providing a valuable opportunity to study alcohol use and problems across the lifespan. Here we provide an overview of data collection methods for the COGA sample, and details about sample characteristics and comorbidity. We also review key research findings that have emerged from analyses of the COGA data. COGA data are available broadly to researchers, and we hope this overview will encourage further collaboration and use of these data to advance the field.

Uncontrolled eating and sensation-seeking partially explain the prediction of future binge drinking from adolescent brain structure

Binge drinking behavior in early adulthood can be predicted from brain structure during early adolescence with an accuracy of above 70%. We investigated whether this accurate prospective prediction of alcohol misuse behavior can be explained by psychometric variables such as personality traits or mental health comorbidities in a data-driven approach. We analyzed a subset of adolescents who did not have any prior binge drinking experience at age 14 (IMAGEN dataset, n = 555, 52.61% female). Participants underwent structural magnetic resonance imaging at age 14, binge drinking assessments at ages 14 and 22, and psychometric questionnaire assessments at ages 14 and 22. We derived structural brain features from T1-weighted magnetic resonance and diffusion tensor imaging. Using Machine Learning (ML), we predicted binge drinking (age 22) from brain structure (age 14) and used counterbalancing with oversampling to systematically control for 110 + variables from a wide range of social, personality, and other psychometric characteristics potentially associated with binge drinking. We evaluated if controlling for any variable resulted in a significant reduction in ML prediction accuracy. Sensation-seeking (-13.98 ± 1.68%), assessed via the Substance Use Risk Profile Scale at age 14, and uncontrolled eating (-13.98 ± 3.28%), assessed via the Three-Factor-Eating-Questionnaire at age 22, led to significant reductions in mean balanced prediction accuracy upon controlling for them. Thus, sensation-seeking and binge eating could partially explain the prediction of future binge drinking from adolescent brain structure. Our findings suggest that binge drinking and binge eating at age 22 share common neurobiological precursors discovered by the ML model. These neurobiological precursors seem to be associated with sensation-seeking at age 14. Our results facilitate early detection of increased risk for binge drinking and inform future clinical research in trans-diagnostic prevention approaches for adolescent alcohol misuse.

Low versus high level of response to alcohol affects amygdala functional connectivity during processing of emotional stimuli

BACKGROUND

Low levels of response (low LR) to alcohol predict heavy drinking and alcohol problems. Functional magnetic resonance imaging (fMRI) studies of emotion processing have shown that low LR individuals exhibit lower activation in task-related brain regions following both placebo and alcohol administration, but these studies did not examine functional brain networks that might contribute to the phenomena. The current study expands upon the earlier results by evaluating whether functional connectivity differences between the amygdala and other brain regions modulated by emotional face processing are associated with LR. Based on prior findings, we hypothesized that low LR is related to lower functional connectivity in fronto-amygdalar functional circuits, which underlie the processing of emotional stimuli.

METHODS

Secondary analyses were conducted on data from a double-blind, placebo-controlled, within-subjects, cross-over study in 108 18-to-25-year-old low and high LR sex-matched pairs without alcohol use disorder at baseline. Participants performed modified emotional faces processing tasks after receiving placebo or approximately 0.7 ml/kg of ethanol. Psychophysiological interaction analyses examined functional connectivity between left and right amygdalae and related brain circuits using LR-by-alcohol general linear models. The data included 54 sex-matched pairs with 216 fMRI scans comprising alcohol and placebo conditions.

RESULTS

Compared with individuals with high LR, low LR subjects demonstrated lower functional connectivity between the amygdala and the frontal lobes, insula, and parietal regions, while processing angry and happy faces. Interactions showed lower connectivity following alcohol in low LR and higher connectivity in high LR groups.

CONCLUSIONS

Low LR individuals demonstrated lower functional connectivity in response both to placebo and a modest dose of ethanol. Attenuated connectivity among low LR individuals when processing emotional faces may contribute to an impaired ability to recognize alcohol intoxication in social situations and to appraise angry and happy emotions irrespective of whether alcohol is consumed.

AUD Risk, Diagnoses, and Course in a Prospective Study Across Two Generations: Implications for Prevention

This article is part of a Festschrift commemorating the 50th anniversary of the National Institute on Alcohol Abuse and Alcoholism (NIAAA). Established in 1970, first as part of the National Institute of Mental Health and later as an independent institute of the National Institutes of Health, NIAAA today is the world's largest funding agency for alcohol research. In addition to its own intramural research program, NIAAA supports the entire spectrum of innovative basic, translational, and clinical research to advance the diagnosis, prevention, and treatment of alcohol use disorder and alcohol-related problems. To celebrate the anniversary, NIAAA hosted a 2-day symposium, "Alcohol Across the Lifespan: 50 Years of Evidence-Based Diagnosis, Prevention, and Treatment Research," devoted to key topics within the field of alcohol research. This article is based on Dr. Schuckit's presentation at the event. NIAAA Director George F. Koob, Ph.D., serves as editor of the Festschrift.

Extreme Binge Drinking During Adolescence: Associations With Subsequent Substance Use Disorders in American Indian and Mexican American Young Adults

OBJECTIVE

This study collected retrospective data on adolescent binge drinking (ABD) (5 drinks for boys, 4 for girls per occasion at least once per month) and/or extreme adolescent binge drinking (EABD) (10 or more drinks per occasion at least once per month) and tested for associations with demographic and diagnostics variables including alcohol and other substance use disorders (AUD/SUD).

METHODS

Cross-sectional data were collected from young adult (age 18-30 yrs) American Indians (AI) (n = 534) and Mexican Americans (MA) (n = 704) using a semi-structured diagnostic instrument.

RESULTS

Thirty percent (30%) of the sample reported ABD and 21% reported EABD. Those having had monthly ABD were more likely to be AI and have less education; those having had EABD were more likely to be AI, male, younger, have less education and lower economic status compared to participants without ABD. ABD/EABD was associated with higher impulsivity, a family history of AUD, and lower level of response to alcohol (ORs = 1.0-2.0), as well as with adult AUD (ORs = 3.7-48), other substance use disorders (ORs = 3.5-9), and conduct disorder/ antisocial personality disorder (ORs = 2.0-2.6), but not with anxiety/depression. Monthly EABD further increased the odds of AUD/SUD.

CONCLUSIONS

Although binge drinking was more common in AI compared to MA, there were little effects of race in individual risk factor analyses. Monthly ABD and EABD were common among these AI/MA as adolescents, and, as with other ethnic groups, these drinking patterns resulted in highly significant increases in the odds of developing alcohol and other substance use disorders in young adulthood.

Cross-sectional and prospective associations of drinking characteristics with scores from the Self-Report of the Effects of Alcohol questionnaire and findings from alcohol challenges

BACKGROUND

Data from 2 generations of participants in the San Diego Prospective Study (SDPS) were used to compare cross-sectional and prospective relationships of 5 measures of the low level of response (low LR) to alcohol to 2 key alcohol-related outcomes.

METHODS

The analyses used data from 373 SDPS male probands and 158 male and female offspring of these individuals to evaluate relationships of 5 LR measures to the prior 5-year maximum drinks per occasion and the number of 11 DSM-IV alcohol use disorder (AUD) criteria experienced. Probands' LR measures included responses to alcohol challenges administered 15 years previously, and ratings for both generations included measures of the number of standard drinks during four periods: the first five times of drinking (SRE-5), the prior three drinking months (SRE-3), the period of heaviest drinking (SRE-H), and a total average across all time frames (SRE-T). Analyses included zero-order correlations, correlations using covariates, and hierarchical multiple regression analyses.

RESULTS

All 5 LR measures were correlated with aspects of maximum drinks and the number of AUD criteria, but the most robust results were seen for SRE-3 and maximum drinks. Correlations were less consistent for SRE-5, a measure more closely related to outcomes in the offspring. Hierarchical regression analyses supported most of these conclusions and showed that alcohol challenge-based LRs added significant information regarding maximum drinks even when evaluated with SRE values. The close correlation between SRE-H and SRE-T argues against the need for studies to include both measures. The patterns of results were similar irrespective of whether covariates were included.

CONCLUSIONS

There were significant correlations of maximum drinks and the number of AUD criteria with findings from prior alcohol challenges and all SRE scores. Challenges and SRE reports are related but not identical LR measures. All SRE scores, including SRE-5, offered useful information regarding subsequent drinking behavior.

The instigating effects of isolation on substance-related intimate partner violence: A review

In this article, we examine the empirical and theoretical support for the idea that experiences of isolation can intensify substance use, even among those in committed close relationships, and can increase the likelihood of negative conflict behaviors, including intimate partner violence (IPV). Cross-sectional, longitudinal, and laboratory-based research suggest that individuals and couples who report experiences of social exclusion and have fewer social supports experience more mental health problems, more negative emotional experiences, and higher levels of stress. These negative outcomes spur coping efforts to reduce these distressing states, which often involve pain-relieving substances such as alcohol. We describe how dynamic models of relationship conflict and IPV can integrate alcohol and substance use patterns among both individuals and couples to understand and predict contexts leading to conflict escalation and IPV perpetration.

Evidence for incentive salience sensitization as a pathway to alcohol use disorder

The incentive salience sensitization (ISS) theory of addiction holds that addictive behavior stems from the ability of drugs to progressively sensitize the brain circuitry that mediates attribution of incentive salience (IS) to reward-predictive cues and its behavioral manifestations. In this article, we establish the plausibility of ISS as an etiological pathway to alcohol use disorder (AUD). We provide a comprehensive and critical review of evidence for: (1) the ability of alcohol to sensitize the brain circuitry of IS attribution and expression; and (2) attribution of IS to alcohol-predictive cues and its sensitization in humans and non-human animals. We point out gaps in the literature and how these might be addressed. We also highlight how individuals with different alcohol subjective response phenotypes may differ in susceptibility to ISS as a pathway to AUD. Finally, we discuss important implications of this neuropsychological mechanism in AUD for psychological and pharmacological interventions attempting to attenuate alcohol craving and cue reactivity.

Predictors of Increases in Alcohol Problems and Alcohol Use Disorders in Offspring in the San Diego Prospective Study

BACKGROUND

The 35-year-long San Diego Prospective Study documented 2-fold increases in alcohol problems and alcohol use disorders (AUDs) in young-adult drinking offspring compared to rates in their fathers, the original probands. The current analyses use the same interviews and questionnaires at about the same age in members of the 2 generations to explore multiple potential contributors to the generational differences in adverse alcohol outcomes.

METHODS

Using data from recent offspring interviews, multiple cross-generation differences in characteristics potentially related to alcohol problems were evaluated in 3 steps: first through direct comparisons across probands and offspring at about age 30; second by backward linear regression analyses of predictors of alcohol problems within each generation; and finally third through R-based bootstrapped linear regressions of differences in alcohol problems in randomly matched probands and offspring.

RESULTS

The analyses across the analytical approaches revealed 3 consistent predictors of higher alcohol problems in the second generation. These included the following: (i) a more robust relationship to alcohol problems for offspring with a low level of response to alcohol; (ii) higher offspring values for alcohol expectancies; and (iii) higher offspring impulsivity.

CONCLUSIONS

The availability of data across generations offered a unique perspective for studying characteristics that may have contributed to a general finding in the literature of substantial increases in alcohol problems and AUDs in recent generations. If replicated, these results could suggest approaches to be used by parents, healthcare workers, insurance companies, and industry in their efforts to mitigate the increasing rates of alcohol problems in younger generations.

An Evaluation of Alcohol Sensitivity in the Context of the Acquired Preparedness Model

BACKGROUND

The acquired preparedness model (APM) posits that relationships between impulsivity-related traits and alcohol use are partly mediated by the biased acquisition of positive alcohol expectancies. Additionally, alcohol administration studies implicate associations between impulsivity-related traits and sensitivity to acute alcohol effects, suggesting that impulsivity-expectancy associations could be partly explained by individual differences in alcohol response. The present study assessed a theoretical extension of the APM by testing the prediction that self-reported sensitivity to alcohol would partly mediate impulsivity-expectancy relationships, and that the addition of alcohol sensitivity variables would account for increased variance in drinking quantity and problems relative to the traditional APM.

METHOD

Young adult heavy drinkers (N = 300, 53% women) completed the Alcohol Sensitivity Questionnaire, the UPPS-P Impulsive Behavior Scale, and measures of alcohol expectancies (Comprehensive Effects of Alcohol Questionnaire) and drinking quantity and related problems. Hypotheses were examined using path analysis.

RESULTS

Results supported significant indirect effects of sensation seeking on drinking quantity and problems via higher positive expectancies. Results also supported a significant indirect effect of negative urgency on drinking problems via negative expectancies. Although alcohol sensitivity variables showed unique associations with drinking outcomes, the addition of these variables did not improve model fit and hypothesized indirect paths involving impulsivity-related traits, alcohol sensitivity, and expectancies were not supported.

CONCLUSIONS

Future research is necessary to reconcile these results with laboratory findings suggesting that impulsive traits are frequently associated with sensitivity to alcohol's acute effects.

Risk profiles for heavy drinking in adolescence: differential effects of gender

Abnormalities across different domains of neuropsychological functioning may constitute a risk factor for heavy drinking during adolescence and for developing alcohol use disorders later in life. However, the exact nature of such multi-domain risk profiles is unclear, and it is further unclear whether these risk profiles differ between genders. We combined longitudinal and cross-sectional analyses on the large IMAGEN sample (N ≈ 1000) to predict heavy drinking at age 19 from gray matter volume as well as from psychosocial data at age 14 and 19-for males and females separately. Heavy drinking was associated with reduced gray matter volume in 19-year-olds' bilateral ACC, MPFC, thalamus, middle, medial and superior OFC as well as left amygdala and anterior insula and right inferior OFC. Notably, this lower gray matter volume associated with heavy drinking was stronger in females than in males. In both genders, we observed that impulsivity and facets of novelty seeking at the age of 14 and 19, as well as hopelessness at the age of 14, are risk factors for heavy drinking at the age of 19. Stressful life events with internal (but not external) locus of control were associated with heavy drinking only at age 19. Personality and stress assessment in adolescents may help to better target counseling and prevention programs. This might reduce heavy drinking in adolescents and hence reduce the risk of early brain atrophy, especially in females. In turn, this could additionally reduce the risk of developing alcohol use disorders later in adulthood.

A Critical Review of Methods and Results in the Search for Genetic Contributors to Alcohol Sensitivity

Attributes of alcohol sensitivity are present before alcohol use disorders (AUDs) develop, they predict those adverse alcohol outcomes, are familial in nature, and many are heritable. Whether measured by alcohol challenges or retrospective reports of numbers of drinks required for effects, alcohol sensitivity reflects multiple phenotypes, including low levels of alcohol response and alcohol-related stimulation. Identification of genes that contribute to alcohol sensitivity could help identify individuals carrying risks for AUDs through their alcohol responses for whom early intervention might mitigate their vulnerability. Such genes could also improve understanding of biological underpinnings of AUDs, which could lead to new treatment approaches. However, the existing literature points to a wide range of genetic mechanisms that might contribute to alcohol responses, and few such genetic findings have been widely replicated. This critical review describes the potential impact of the diverse methods used to study sensitivity on the diversity of genetic findings that have been reported, places the genetic variants mentioned in the literature into broader categories rather than isolated results, and offers suggestions regarding how to advance the field by interpreting findings in light of the methods used to select research subjects and to measure alcohol sensitivity. To date, the most promising results have been for GABA, glutamate, opioid, dopamine, serotonin, and cholinergic system genes. The more gene variants that can be identified as contributors to sensitivity the better future gene screening platforms or polygenic scores are likely to be.

Mediation of effects of the level of response to alcohol and impulsivity 15 years later in 36-year-old men: Implications for prevention efforts

BACKGROUND

Although the prevalence of alcohol use disorders (AUDs) has increased in older individuals in the recent decade, there are few programs to mitigate that increase. The current analyses evaluate the feasibility of applying to older drinkers elements of an approach to prevent heavier drinking in young adults by focusing on mediators of effects of two risk factors for alcohol problems, low levels of response to alcohol (low LRs) and higher impulsivity.

METHODS

Data were extracted from the San Diego Prospective Study (SDPS). Structural Equation Models evaluated relationships among age 36 low LRs and higher impulsivity; age 46 perceived peer drinking, alcohol expectancies, and drinking to cope; and age 51 alcohol problems, even after controlling for age 36 alcohol problems.

RESULTS

Relationships of age 36 low LRs to later alcohol problems was both direct and linked to age 46 heavy drinking peers. LR also operated indirectly through peer drinking to alcohol expectancies and drinking to cope. Age 36 impulsivity had no direct path to later alcohol problems and operated primarily through mediation by alcohol expectancies and via expectancies to drinking to cope. After controlling for age 36 alcohol problems, the low LR and impulsivity results remained robust.

CONCLUSIONS

Programs for mitigating increases in alcohol problems in middle-age drinkers should consider identifying individuals with low LRs and/or higher impulsivity and implementing prevention approaches similar to a program used in young adults. The approach should emphasize some different mediators for older drinkers with low LRs and those with higher impulsivity.