Shifting Age of Peak Binge Drinking Prevalence: Historical Changes in Normative Trajectories Among Young Adults Aged 18 to 30

Suicidal ideation in the context of alcohol use among college students: differences across sexual orientation and gender identity

PURPOSE

There is a dearth of research on suicidal ideation (SI) that occurs specifically in the context of drinking alcohol. Alcohol use and binge drinking are both elevated among college students, among whom sexual and gender minority (SGM) students are at particular risk for SI. This manuscript examines alcohol use, SI, and SI specifically in the context of alcohol use among a large sample of undergraduate students and examines differences across sexual and gender minority groups.

METHODS

Data were drawn from ~ 300,000 students who completed the American College Health Association National College Health Assessment (ACHA-NCHA) between Spring 2019 and Fall 2022. Participants reported identity variables and information about drinking behaviors and suicidal ideation over the past year. Multilevel models were used for all analyses.

RESULTS

Risky drinking behaviors and higher blood alcohol content during the last episode of social drinking were associated with higher odds of SI while drinking. Rates of risky drinking behaviors, SI, and SI while drinking were elevated among SGM students with SGM men and nonbinary students reporting the highest rates across groups.

CONCLUSION

SI while drinking, which is seldom assessed in measures of either measures of suicidal thoughts or alcohol use behavior, is an important construct for further research to improve our understanding of high risk states for suicide. Given elevated rates of alcohol use and SI among college students, providing education and resources to reduce SI while drinking is a critical target for universities, particularly to reduce risk among vulnerable SGM students.

Binge drinking trajectories across adolescence and early adulthood: Associations with genetic influences for dual-systems impulsive personality traits, alcohol consumption, and alcohol use disorder

Binge drinking is a relatively common pattern of alcohol use among youth with normative frequency trajectories peaking in emerging and early adulthood. Frequent binge drinking is a critical risk factor for not only the development of alcohol use disorders (AUDs) but also increased odds of alcohol-related injury and death, and thus constitutes a significant public health concern. Changes in binge drinking across development are strongly associated with changes in impulsive personality traits (IPTs) which have been hypothesized as intermediate phenotypes associated with genetic risk for heavy alcohol use and AUD. The current study sought to examine the extent to which longitudinal changes in binge drinking and intoxication frequency across adolescence and early adulthood are associated with genetic influences underlying dual-systems IPTs (i.e., top-down [lack of self-control] and bottom-up [sensation seeking and urgency] constructs) alongside genetic risk for alcohol consumption and AUD. Associations were tested using conditional latent growth curve polygenic score (PGS) models in three independent longitudinal samples (N=10,554). Results suggested consistent significant and independent associations across all samples between sensation seeking PGSs and model intercepts (i.e., higher frequency of binge drinking at first measurement occasion) and alcohol consumption PGSs and model slopes (i.e., steeper increases toward peak binge drinking frequency). Urgency PGSs were not significantly associated with changes in binge drinking or intoxication frequency. Collectively, these findings highlight the role of unique but correlated IPT and alcohol-specific genetic factors in the emergence and escalation of binge drinking during adolescence and early adulthood.

Is Childhood Adversity Before Age 5 Associated with Adolescent and Young Adult Substance Use? Findings from a U.S. Prospective Cohort Study

OBJECTIVE

Growing research suggests that adversity experienced early in life can affect young children's development, with implications for health-related outcomes years later. This study explored long-term associations between early life adversity before age 5 (ELA) and later substance use outcomes, and racial and ethnic differences in associations.

METHOD

Data are from children born 1984-2000 to female participants in the U.S. National Longitudinal Study of Youth-1979 cohort (N = 4582 children nested within 2683 mothers, with 1.4-1.8 outcome observations on average for each child in each age period). ELA at ages 0-4 was measured through home observations and maternal surveys, and included high parental conflict and maternal hazardous drinking/drug use (threat-related exposures), and low cognitive stimulation, low emotional support, and household poverty (deprivation-related exposures). Alcohol and cannabis use frequency were measured in biennial adolescent and young adult surveys through 2016. Analyses involved multilevel regression and interactions accounting for demographics, birth cohort, and family history of alcoholism.

RESULTS

ELA-threat exposure was associated with greater alcohol and cannabis use frequency in mid-adolescence and at ages 22-25 and 26-32 [exp(β ^ )'s = 1.05 to 1.13, p's < 0.05]. Associations of ELA-deprivation with substance use were either null or negative. There were pronounced racial and ethnic inequities in ELA exposure but no evidence of racial and ethnic differences in associations between ELA and later substance use.

CONCLUSIONS

Broadening substance use research to focus on early childhood conditions appears warranted. Studies that identify intervening pathways to outcomes could inform early, targeted substance use prevention. Efforts are needed to eliminate racial and ethnic inequities in early life conditions.

Simultaneous use of alcohol and cannabis and attenuated age-related declines in alcohol and cannabis use disorder symptoms across young adulthood

Most young adults naturally mature out of high-risk substance use patterns, but it is important to identify factors that may impede normative declines. Use of alcohol and cannabis simultaneously (i.e., simultaneous alcohol and marijuana/cannabis [SAM]) is cross-sectionally associated with alcohol and cannabis concerns, and SAM use increases acute risks at the daily level. However, less is known about long-term risks of SAM use and, specifically, how SAM use relates to maturing out of alcohol and cannabis use. Using four consecutive years of survey data from young adults who reported SAM use (N=409; 1636 responses; aged 18-25 at baseline), we first estimated age-related changes in symptoms of alcohol and cannabis use disorder (AUD/CUD) using multilevel growth modeling. Findings supported a maturing out process, as both AUD and CUD symptom severity significantly declined across young adulthood, on average (4 % and 5 % per year respectively, with significant acceleration). Cross-level interactions tested whether participants' mean SAM use frequency across all four timepoints moderated age-related trajectories in AUD/CUD symptom severity. Significant interactions indicated that, relative to less-frequent SAM use, participants with more frequent SAM use showed less steep declines in AUD (1 % decrease per year vs. 6 % per year) and CUD symptoms (0 % decrease per year vs. 7 % per year); thus, SAM frequency was associated with slower/delayed maturing out of hazardous alcohol and cannabis use. Findings highlight that SAM use may be a correlate or risk-factor for prolonged high-risk substance use during young adulthood that relates to deviations from maturing out processes.

Is alcohol outlet availability associated with binge drinking in Canadian young adults? Findings from British Columbia and Quebec

OBJECTIVES

Alcohol availability is associated with alcohol consumption and related harms, but there is less evidence on associations with heavy episodic drinking (HED), a drinking pattern prevalent among young adults. This study aimed to assess the associations between alcohol availability and HED among young Canadians.

METHODS

We used a population-based sample of Canadian urban-dwelling young adult drinkers (18‒29 years) from the cross-sectional Canadian Community Health Survey (CCHS; cycles 2015‒2019). We linked data from CCHS respondents in British Columbia and Quebec with two measures of alcohol availability for both offsite and onsite outlets: density (AOD) and accessibility (SAI) within dissemination areas (N = 1,067,747). We used logistic regression to estimate the associations between alcohol availability and monthly HED, adjusting for covariates.

RESULTS

The associations between availability and HED differed by province, and availability measure. In British Columbia, offsite and onsite accessibility using SAI was inversely associated with HED. For example, living in neighbourhoods with medium alcohol accessibility (as compared to low) was significantly associated with reduced odds of HED (offsite OR = 0.33, 95% CI 0.17‒0.64; onsite OR = 0.49, 95% CI 0.27‒0.89). In Quebec, offsite availability was positively associated with HED using SAI (although not statistically significant) while no clear trend was seen for onsite availability.

CONCLUSION

Results were consistent with previous evidence. Restricting spatial availability of alcohol remains an important public health strategy for decreasing the ease/convenience of access. Understanding why patterns of availability and drinking differ across regions could inform regionally tailored policies.

Retrospective self-reports of sensitivity to the effects of alcohol: Trait-like stability and concomitant changes with alcohol involvement

OBJECTIVE

Lower sensitivity to the acute effects of alcohol is known to confer risk for the development of alcohol use disorder. Alcohol sensitivity, or level of response to alcohol's subjective effects, is heritable but also can change as a result of persistent alcohol exposure (i.e., acquired tolerance). Here, we examined how changes over time in four indices of alcohol involvement affected scores on two validated, retrospective self-report measures of alcohol response-the Self-Rating of the Effects of Alcohol (SRE) form and the Alcohol Sensitivity Questionnaire (ASQ)-in a sample of emerging adult drinkers.

METHOD

Participants (N = 173; Mage = 19.5 years; 60% assigned female at birth) completed the ASQ, SRE, and measures of alcohol use and problems at two time points separated by a median of 0.77 years (range: 0.30-2.54 years).

RESULTS

Multiple linear regression showed that increases in drinking over this period accounted for increases in SRE and ASQ scores (i.e., in reported numbers of drinks needed to experience subjective effects of alcohol). Increased drinking accounted for more variance in the number of drinks needed to experience lighter drinking versus heavier drinking effects, and increases in the number of drinks consumed per occasion had a larger effect than did changes in total numbers of drinks consumed, number of binge-drinking occasions, or drinking-related problems.

CONCLUSIONS

Findings suggest that both SRE and ASQ capture some stable, trait-like variability in alcohol response as well as some state-dependent, within-person variability in alcohol response acquired through increases in alcohol involvement. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Reasons for alcohol use from 1976 to 2020 in the United States among individuals aged 18 to 30: Historical changes and mediation of cohort effects in binge drinking

BACKGROUND

Alcohol use is declining among US adolescents/early young adults and increasing among other adults, with increases in adult binge drinking more concentrated in females than males. Reasons for drinking are historically patterned by age and sex, and if historically variant, could suggest that changes over time could in part explain age- and sex-differential cohort effects.

METHODS

We analyzed longitudinal Monitoring the Future data for individuals born from 1958 to 1990. These individuals were aged 29/30 from 1987 to 2020, and first surveyed at age 18 from 1976 to 2008 (N = 14,190). Five reasons for drinking were analyzed (social, enhancement, avoid problems, relax, boredom). Drinking for social reasons and to relax were most prevalent. Total effects of birth cohort predicting past-2-week binge drinking were estimated with polynomial regression models by age; indirect effects through mediators were estimated.

RESULTS

Drinking reasons exhibited dynamic time trends across birth cohort and sex. Notable increases were observed in social reasons: among women aged 29/30, social reasons increased from 53% to 87% from 1987 to 2020. Social reasons to drink had prominent positive indirect effects at adult ages (age 23/24 and above among men; age 19 and above among women), indicating that binge drinking would have increased less were it not for the increase in social reasons for drinking. Social reasons also mediated adult male/female differences, indicating that part of the reason sex differences are diminishing is the more rapid increases in social reasons for drinking among women. Indirect effects were also observed for drinking to relax and for boredom, and limited indirect effects were observed for enhancement and to avoid problems.

CONCLUSION

Changing endorsement of drinking reasons, especially social reasons, among US adult drinkers mediate cohort effects in binge drinking in the US adult population and explain in part why binge drinking is converging by sex.

Is the 21st birthday a turning point for alcohol and cannabis use? A monthly study of young adults

BACKGROUND

An important life-course event with respect to alcohol and cannabis use is turning 21 years of age, which may be associated with increases in use of these substances due to celebrations during the month and easier access to them on and following this birthday. We examined the trajectories of alcohol and cannabis use behaviors in the months leading up to, during, and following the 21st birthday month. We also examined whether the use trajectories vary by college status and baseline levels of use.

METHODS

We used data from 203 young adults recruited from the Greater Seattle region who turned 21 during the course of the study. Surveys were administered each month for 24 consecutive months. Measures included the typical number of drinks per week for the past month, the frequency of heavy episodic drinking, the number of cannabis use days, and any simultaneous alcohol and cannabis use. Multilevel spline models were run that estimated linear slopes over time at four intervals: (1) up to 1 month before the 21st birthday month; (2) from 1 month before to the month of the 21st birthday; (3) from the 21st birthday month to 1 month following; and (4) from 1 month following the 21st birthday month through all following months.

RESULTS

Alcohol use, generally, and simultaneous alcohol and cannabis use showed sharp increases from the month before the 21st birthday month to the 21st birthday month and decreases following the 21st birthday month. For cannabis use, there were significant increases in the months leading up to the 21st birthday and no other significant changes during other time intervals. Patterns differed by baseline substance use and college status.

CONCLUSIONS

Findings from the current study have implications for the timing and personalization of prevention and intervention efforts. Event-specific 21st birthday interventions may benefit from incorporating content targeting specific hazardous drinking behaviors in the month prior to the 21st birthday.

Understanding alcohol use and alcohol use disorders from a developmental psychopathology perspective: Research advances, challenges, and future directions

As part of the special issue of Development and Psychopathology honoring the remarkable contributions of Dr Dante Cicchetti, the current paper attempts to describe the recent contributions that a developmental psychopathology perspective has made in understanding the development of alcohol use and alcohol-related problems over the lifespan. The paper also identifies some of the future challenges and research directions. Because the scope of this task far exceeds the confines of a journal length article this paper does not attempt a comprehensive review. Rather, it builds on an earlier review and commentary that was published in Development and Psychopathology in 2013, with a similar goal.)Building on that work and updating its conclusions and suggestions for future directions, the current paper emphasizes findings from the research areas that were identified for further study in 2013 and the findings that have been published since that time.

Short-term changes in social role statuses across young adulthood and their relation to heavy drinking in a given month

Young adulthood is a developmental period during which individuals experience shifts in their social roles in various domains, which coincides with a period of time that is also high risk for lifetime peaks in alcohol use. The current study examined age-related changes in heavy episodic drinking (HED) and high-intensity drinking (HID) and associations with short-term (i.e., monthly) variation in young adults' social roles over a 2.5-year period in a community sample of young adults who reported past-year alcohol use (N = 778, baseline age range 18-23). Results showed probabilities of past-month HED and HID changed in a nonlinear fashion across ages 18-26 with greater probabilities of use at younger ages. Most participants did not report being in the same social role status every sampled month, underscoring the presence of short-term role variation. Living with parents and being in a serious romantic relationship in a given month were negatively associated with past-month HED. Living with parents in a given month was also negatively associated with past-month HID. Being a 4-year college student and being employed full-time in a given month were not significantly related to either outcome. Findings provided partial evidence that monthly statuses were associated with heavy drinking. Several avenues for future research are described in light of the findings.

Patterns and predictors of alcohol misuse trajectories from adolescence through early midlife

We took a multilevel developmental contextual approach and characterized trajectories of alcohol misuse from adolescence through early midlife, examined genetic and environmental contributions to individual differences in those trajectories, and identified adolescent and young adult factors associated with change in alcohol misuse. Data were from two longitudinal population-based studies. FinnTwin16 is a study of Finnish twins assessed at 16, 17, 18, 25, and 35 years (N = 5659; 52% female; 32% monozygotic). The National Longitudinal Study of Adolescent to Adult Health (Add Health) is a study of adolescents from the United States, who were assessed at five time points from 1994 to 2018 (N = 18026; 50% female; 64% White, 21% Black, 4% Native American, 7% Asian, 9% Other race/ethnicity). Alcohol misuse was measured as frequency of intoxication in FinnTwin16 and frequency of binge drinking in Add Health. In both samples, trajectories of alcohol misuse were best described by a quadratic growth curve: Alcohol misuse increased across adolescence, peaked in young adulthood, and declined into early midlife. Individual differences in these trajectories were primarily explained by environmental factors. Several adolescent and young adult correlates were related to the course of alcohol misuse, including other substance use, physical and mental health, and parenthood.

A life span developmental investigation of marriage and problem-drinking reduction

While prior literature has largely focused on marriage effects during young adulthood, it is less clear whether these effects are as strong in middle adulthood. Thus, we investigated age differences in marriage effects on problem-drinking reduction. We employed parallel analyses with two independent samples (analytic-sample Ns of 577 and 441, respectively). Both are high-risk samples by design, with about 50% of participants having a parent with lifetime alcohol use disorder. Both samples have been assessed longitudinally from early young adulthood to the mid-to-late 30s. Separate parallel analyses with these two samples allowed evaluation of the reproducibility of results. Growth models of problem drinking tested marriage as a time-varying predictor and thereby assessed age differences in marriage effects. For both samples, results consistently showed marriage effects to be strongest in early young adulthood and to decrease somewhat monotonically thereafter with age, reaching very small (and nonsignificant) magnitudes by the 30s. Results may reflect that role transitions like marriage have more impact on problem drinking in earlier versus later adulthood, thereby highlighting the importance of life span developmental research for understanding problem-drinking desistance. Our findings can inform intervention strategies aimed at reducing problem drinking by jumpstarting or amplifying natural processes of adult role adaptation.

Social disparities in alcohol consumption among Canadian emerging adults

INTRODUCTION

Young adult drinking is a public health priority, but knowledge of socioeconomic status (SES) indicators and alcohol use among emerging adults (EAs; aged 18-29 years) is primarily informed by college samples, populations in their late teens and early twenties and non-Canadian data. We compared the association of three different SES indicators with monthly heavy episodic drinking (HED), less-than-monthly HED, no HED, and no drinking among Canadian EAs.

METHODS

We pooled the 2015 to 2019 waves of the Canadian Community Health Survey to include participants aged 18 to 29 years (n = 29 598). Using multinomial regression, we calculated weighted estimates of alcohol use by education, household income and area-level disadvantage, adjusting for adult roles and sociodemographic characteristics.

RESULTS

Approximately 30% of EAs engaged in monthly HED, whereas 16% did not drink at all in the past year. Compared to those in the lowest household incomes, being in the top income quintile was significantly associated with increased relative odds of monthly HED (e.g. in combined SES model, RRR = 1.21, 95% CI: 1.04-1.39). Higher levels of education, being in higher income quintiles and living in less disadvantaged areas were significantly associated with reduced relative odds of no HED and not drinking. Adjusting for adult roles did not substantially change the associations between SES and alcohol use.

CONCLUSION

Higher SES was associated with HED among EAs, although the magnitude of association was small. Universal prevention measures addressing the affordability, availability and marketing of alcohol could be complemented by interventions targeting EA populations at higher risk of HED.

Problematic Substance Use among Sexual Minority and Heterosexual Young Adults during COVID-19

Sexual minority young adults (SMYAs), compared to heterosexual young adults (HYAs), are a uniquely high-risk population for problematic substance use, a disparity perhaps exacerbated by the COVID-19 pandemic. This study tested whether SMYAs had more problematic substance use than HYAs during the pandemic due to isolation and loneliness as well as lower family closeness. Participants (N = 141) aged 23-29 completed self-report surveys in 2014-2015 as college students and in the summer of 2021 as young adults (59% White, 26% Black/African American, 9% Asian/Middle Eastern, 6% Hispanic/Latino, and <1% American Indian/Alaska Native). Results of multivariate regression and multiple group path analyses did not support hypothesized effects-SMYAs did not have greater increases in problematic substance use compared to HYAs, isolation and loneliness were not significant mediators, and family closeness was not a significant moderator. However, SMYAs experienced a lack of social safety-increased loneliness and decreased family closeness-compared to HYAs. Further research is needed to investigate both the impact and underlying processes of this decreased social safety on SMYA well-being beyond the pandemic to better inform tailored supports and interventions.

Generation COVID: Young adult substance use

Opposing theories posited that young adult substance use during the COVID-19 pandemic would decline due to restricted access and social engagement or increase due to efforts to cope with rising distress, loneliness, and isolation. Peer-reviewed global longitudinal studies found (a) overall declines in commonly used substances in 2020 with some rebounding in 2021; (b) individual differences in this pattern, with declines linked to factors limiting access and increases to pre-existing risk; and (c) under-developed evidence to evaluate increased coping-related use. Given potential links between surging mental health disorders and substance use, further surveillance and wider dissemination of substance use programming is needed, particularly for vulnerable individuals and settings.

Age 18-30 trajectories of binge drinking frequency and prevalence across the past 30 years for men and women: Delineating when and why historical trends reversed across age

Historical analyses based on US data indicate that recent cohorts engage in lower binge drinking at age 18 relative to past cohorts, but by the mid- to late-20s the reverse is true: recent cohorts engage in higher binge drinking relative to past cohorts. We pinpoint when - both developmentally and historically - this reversal manifested, examine possible reasons for this reversal, and examine sex convergence in these developmental and historical patterns. As part of the US national Monitoring the Future Study, over 75,000 youths from the high school classes of 1976-2006 were surveyed biennially between ages 18 and 30. We found that the reversal primarily manifested between ages 18 and 24 for men and 18 and 22 for women. We also found that the reversal emerged gradually across the last three decades, suggesting it is the result of a broad and durable historical shift. Our findings indicated that historical variation in social roles and minimum legal drinking age collectively accounted for only a modest amount of the reversal, although marriage was the most influential among the factors examined here. Finally, we found evidence that sex convergence in binge drinking was developmentally limited and far more pronounced at the beginning of the transition to adulthood.

A new statistical model for binge drinking pattern classification in college-student populations

Background

Binge drinking (BD) among students is a frequent alcohol consumption pattern that produces adverse consequences. A widely discussed difficulty in the scientific community is defining and characterizing BD patterns. This study aimed to find homogenous drinking groups and then provide a new tool, based on a model that includes several key factors of BD, to assess the severity of BD regardless of the individual's gender.

Methods

Using the learning sample (N1 = 1,271), a K-means clustering algorithm and a partial proportional odds model (PPOM) were used to isolate drinking and behavioral key factors, create homogenous groups of drinkers, and estimate the probability of belonging to these groups. Robustness of our findings were evaluated with Two validations samples (N2 = 2,310, N3 = 120) of French university students (aged 18-25 years) were anonymously investigated via demographic and alcohol consumption questionnaires (AUDIT, AUQ, Alcohol Purchase Task for behavioral economic indices).

Results

The K-means revealed four homogeneous groups, based on drinking profiles: low-risk, hazardous, binge, and high-intensity BD. The PPOM generated the probability of each participant, self-identified as either male or female, to belong to one of these groups. Our results were confirmed in two validation samples, and we observed differences between the 4 drinking groups in terms of consumption consequences and behavioral economic demand indices.

Conclusion

Our model reveals a progressive severity in the drinking pattern and its consequences and may better characterize binge drinking among university student samples. This model provides a new tool for assessing the severity of binge drinking and illustrates that frequency of drinking behavior and particularly drunkenness are central features of a binge drinking model.

Shame-and-guilt-proneness, interpersonal sensitivity, and alcohol: Results from a moderated mediation

BACKGROUND

Shame-proneness has been consistently associated with more problematic alcohol outcomes, and guilt-proneness has been associated with fewer. The aim of this study was to determine if the associations of shame-and-guilt-proneness with alcohol outcomes vary as a function of interpersonal sensitivity.

METHOD

A longitudinal study examined shame-proneness and guilt-proneness as predictors of alcohol consumption and related problems one month later. This research was conducted at a large public university in the United States.

RESULTS

Participants (N=414) were heavy-drinking college students (51% female) with a mean age of 21.76 (SD=2.02) who consumed an average of 12.13 (SD=8.81) standard drinks per week. Shame-proneness, but not guilt-proneness, was directly associated with increased drinking and indirectly associated with increased problems. The indirect effects of shame on problems through drinking were stronger at higher levels of interpersonal sensitivity.

CONCLUSIONS

Results suggest that shame-proneness may increase alcohol consumption and subsequent problems among those high in interpersonal sensitivity. Alcohol may be used as a means to withdraw from social threats that are amplified by interpersonal sensitivity.

Comparing National College Health Assessment with other surveys of cannabis use and binge drinking among young adult college students 2008-2018

Objective: We considered the utility of National College Health Assessment (NCHA) data relative to other national data for studying college students' cannabis use and binge drinking, and drug policy effects. Participants: Survey data on 18-22-year old college students were drawn from the 2008-2018 NCHA, National Survey on Drug Use and Health (NSDUH), Monitoring the Future (MTF), and Healthy Minds Study (HMS). Methods: Prevalence estimates were compared across data sources in terms of level and change from 2008-2018 using linear regressions, separately for men and women. Results: Mean prevalence estimates for 30-day cannabis use and 2-week binge drinking, and linear time trends did not differ significantly among NCHA, NSDUH, and MTF. Conclusions: NCHA prevalence estimates are similar to those from NSDUH and MTF, NCHA has unique strengths, and some weaknesses can be offset. Findings support the value of NCHA for studying college students' substance use and effects of drug policy.

Conscription hurts: The effects of military service on physical health, drinking, and smoking

Almost all South Korean men serve in the country's armed forces for two years. In this paper, we investigate whether the military service affects the health of draftees. Using an event study design, we use the conscription years to identify the effect the military service has on soldiers' physical health as well as on their smoking and drinking behavior. Our results show that the compulsory military service has a strong and long-lasting negative effect on physical health. Moreover, people who are drafted into the armed forces are more likely to consume more alcohol and cigarettes even years after they are discharged. Our results are of great interest to decision-makers weighing the pros and cons of conscription armies: mandatory military service adversely affects the male labor force and exacerbates drinking and smoking behavior.

Understanding the associations between personality traits and the frequency of alcohol intoxication in young males and females: Findings from the United Kingdom

The problem of alcohol intoxication is growing and expanding worldwide, which has numerous adverse health and psychological consequences. Thus, it is unsurprising that there are so many efforts made toward underlying the psychological determinants of alcohol intoxication. While some research found that the belief in drinking is important, other research considers personality traits as a risk factor for alcohol consumption and intoxication, which is backed by empirical evidence. However, previous studies classified individuals as binge drinkers or non-binge drinkers (i.e., binary). Thus, it remains unclear how the Big Five personality traits may relate to the frequency of alcohol intoxication in young people aged between 16 and 21 years old, who are more vulnerable to alcohol intoxication. By using two ordinal logistic regressions on 656 young males with a mean age of 18.50±1.63 years old and 630 female drinkers with a mean age of 18.49±1.55 years old who have ever been intoxicated during the past four weeks from Wave 3 (collected via face-to-face interviews or online surveys between 2011 and 2012) UKHLS (United Kingdom Household Longitudinal Study), the current research found that Extraversion has a positive association with the frequency of alcohol intoxication in both male (OR = 1.35, p < 0.01, 95 % C.I. [1.13, 1.61]) and female (OR = 1.29, p = 0.01, 95 % C.I. [1.06, 1.57]) drinkers whereas only Conscientiousness (OR = 0.75, p < 0.01, 95 % C.I. [0.61, 0.91]) is negatively connected to the frequency of alcohol intoxication in female drinkers.

Indirect effects of personality on high-intensity drinking: The role of drinking motives

BACKGROUND

Researchers have long been interested in identifying risk factors for binge drinking behavior (4+/5+ drinks/occasion for females/males), but many studies have demonstrated that a substantial proportion of young adults are drinking at levels far beyond (often 2 to 3 times) the standard binge threshold. The consumption of such large quantities of alcohol, typically referred to as high-intensity drinking (HID), can cause severe alcohol-related problems, such as blackouts, unintended sexual experiences, and death. This study is the first to investigate whether personality is indirectly associated with the likelihood of HID via drinking motives in a large (N = 999) sample of underage young adult drinkers. We hypothesized that trait neuroticism would be indirectly associated with the likelihood of HID via coping motives and that extraversion would be indirectly associated with the likelihood of HID via social and enhancement motives.

METHODS

To investigate these hypotheses, we used two archival data sets that recruited current underage (18- to 20-year-old) adult drinkers residing in the United States from online panel services. Participants completed self-report survey items assessing constructs of interest. To investigate the role of drinking motives in the association between personality and HID, both the direct and indirect effects were calculated via three path analyses.

RESULTS

Findings revealed that neuroticism was partially indirectly associated with the likelihood of HID via coping motives (b = 0.02, SE = 0.004, p < 0.01). In addition, extraversion was indirectly associated with the likelihood of HID via social (b = 0.031, SE = 0.002, p < 0.01) and enhancement motives (b = 0.01, SE = 0.002, p = 0.01).

CONCLUSIONS

These findings are an initial step in examining the interplay among personality traits, drinking motives, and HID in underage drinkers and point to the need for longitudinal studies assessing these associations.

Effectiveness of text message interventions with different behavior change techniques on alcohol consumption among young adults: a five-arm randomized controlled trial

AIMS

This studys aim is to test the effectiveness of five interventions each utilizing a unique set of behavior change techniques on reducing alcohol consumption at 3 and 6 months among young adults with hazardous drinking.

DESIGN, SETTING AND PARTICIPANTS

This study used a five-arm parallel randomized controlled trial with 3- and 6-month follow-ups. Recruitment occurred at four emergency departments in Pittsburgh, PA, USA. Participants were non-treatment-seeking young adults (mean age = 22.1 years; 68.5% female; 37.1% black) who reported hazardous drinking.

INTERVENTIONS

Participants were randomized to one of five automated text message interventions for 12 weeks that interacted with participants on the 2 days per week that they typically drank: assisted self-monitoring (TRACK: control condition; n = 245), pre-drinking cognition feedback (PLAN; n = 226), alcohol consumption feedback (USE; n = 235), adaptive goal support (GOAL; n = 214) and a combination of interventions (COMBO; n = 221).

MEASUREMENTS

Primary outcome was number of past month binge drinking days at 3-month post-randomization calculated from a 30-day time-line follow-back. Primary intention-to-treat analysis compared PLAN, USE, GOAL and COMBO against TRACK (control condition). The four active conditions were not compared against each other. A secondary outcome, durability of effects, was measured at 6 months.

FINDINGS

From baseline to 3-month follow-up (retention = 81.1%), compared with TRACK, in which past-month mean binge drinking days increased from 2.7 to 3.4, mean binge drinking days decreased in COMBO from 3.0 to 2.3 [adjusted β = -0.52; 95% confidence interval (CI) = -0.77, -0.26], GOAL from 3.0 to 2.6 (adjusted β = -0.34; 95% CI = -0.59, -0.10) and USE from 3.3 to 2.9 (adjusted β = -0.38; 95% CI = -0.62, -0.14). At 6 months (retention = 73.8%), COMBO, GOAL, USE and PLAN had significantly lower mean binge drinking days compared with TRACK.

CONCLUSION

Text message interventions incorporating feedback on either drinking plans and/or alcohol consumption and/or drinking limit goal support produced small yet durable reductions in binge drinking days in non-treatment-seeking young adults with hazardous drinking.

Alcohol Use Disorder Symptoms Reported during Midlife: Results from the Monitoring the Future Study among US Adults at Modal Ages 50, 55, and 60

BACKGROUND

The extent to which adolescent substance use is associated with alcohol use disorder (AUD) symptoms in midlife is not yet fully explored.

METHODS

Longitudinal data from the national Monitoring the Future study was used. The sample included 11,830 12th graders (1976-1987) who were surveyed again at modal ages 50 (37.8%), 55 (46.3%), or 60 (15.8%) in 2008-2019. Approximately 48.7% were male; 81.5% identified as non-Hispanic White. Weighted logistic and multinomial logistic regressions were used to examine associations between past 30-day use of cigarettes, marijuana, and alcohol at age 18, sociodemographics, and a midlife AUD symptom outcome (coded as non-drinking, drinking without AUD [endorsed ≤1 criterion], or AUD symptoms [endorsed 2+ criteria]).

RESULTS

Prevalence of midlife AUD symptoms was 27.1%. Higher relative risk of reporting AUD symptoms (vs. drinking without AUD) was associated with age 18 substance use (any cigarette use [vs. no use], any marijuana use [vs. no use], binge drinking [vs. both no use and drinking at less than binge levels]), being male (vs. female), being non-Hispanic White (vs. non-Hispanic Black), and having a 4-year college degree. Higher relative risk of reporting non-drinking (vs. drinking without AUD) was associated with no 30-day alcohol use at age 18, being non-Hispanic Black or non-Hispanic other (vs. non-Hispanic White), and not having a 4-year college degree.

CONCLUSIONS

Findings suggest substance use at age 18 has meaningful associations with midlife AUD symptoms. Dissemination of prevention and intervention efforts in adolescence and early adulthood may be important for reducing hazardous midlife drinking.

An empirical evaluation of alternative approaches to adjusting for attrition when analyzing longitudinal survey data on young adults' substance use trajectories

OBJECTIVES

Longitudinal survey data allow for the estimation of developmental trajectories of substance use from adolescence to young adulthood, but these estimates may be subject to attrition bias. Moreover, there is a lack of consensus regarding the most effective statistical methodology to adjust for sample selection and attrition bias when estimating these trajectories. Our objective is to develop specific recommendations regarding adjustment approaches for attrition in longitudinal surveys in practice.

METHODS

Analyzing data from the national U.S. Monitoring the Future panel study following four cohorts of individuals from modal ages 18 to 29/30, we systematically compare alternative approaches to analyzing longitudinal data with a wide range of substance use outcomes, and examine the sensitivity of inferences regarding substance use prevalence and trajectories as a function of college attendance to the approach used.

RESULTS

Our results show that analyzing all available observations in each wave, while simultaneously accounting for the correlations among repeated observations, sample selection, and attrition, is the most effective approach. The adjustment effects are pronounced in wave-specific descriptive estimates but generally modest in covariate-adjusted trajectory modeling.

CONCLUSIONS

The adjustments can refine the precision, and, to some extent, the implications of our findings regarding young adult substance use trajectories.

Human well-being and natural capital indictors for Great Lakes waterfront revitalization

Revitalization of natural capital amenities at the Great Lakes waterfront can result from sediment remediation, habitat restoration, climate resilience projects, brownfield reuse, economic redevelopment and other efforts. Practical indicators are needed to assess the socioeconomic and cultural benefits of these investments. We compiled U.S. census-tract scale data for five Great Lakes communities: Duluth/Superior, Green Bay, Milwaukee, Chicago, and Cleveland. We downloaded data from the US Census Bureau, Centers for Disease Control and Prevention, Environmental Protection Agency, National Oceanic and Atmospheric Administration, and non-governmental organizations. We compiled a final set of 19 objective human well-being (HWB) metrics and 26 metrics representing attributes of natural and seminatural amenities (natural capital). We rated the reliability of metrics according to their consistency of correlations with metric of the other type (HWB vs. natural capital) at the census-tract scale, how often they were correlated in the expected direction, strength of correlations, and other attributes. Among the highest rated HWB indicators were measures of mean health, mental health, home ownership, home value, life success, and educational attainment. Highest rated natural capital metrics included tree cover and impervious surface metrics, walkability, density of recreational amenities, and shoreline type. Two sociodemographic covariates, household income and population density, had a strong influence on the associations between HWB and natural capital and must be included in any assessment of change in HWB benefits in the waterfront setting. Our findings are a starting point for applying objective HWB and natural capital indicators in a waterfront revitalization context.

Emotion regulation difficulties as common and unique predictors of impulsive behaviors in university students

Objectives: Researchers examined associations between specific forms of emotion dysregulation and numerous behavioral manifestations of impulsivity (i.e., problematic alcohol use, drug use, risky sexual activity, binge eating, non-suicidal self-injury). Participants: Participants were 238 undergraduate students (69% female). Method: Emotion dysregulation was assessed using the Difficulties in Emotion Regulation Scale (DERS). Path models examined each DERS subscale on its own, and all DERS subscales together, as predictors of all impulsive behaviors. Results: Lack of emotional clarity predicted the largest number of impulsive behaviors, both on its own and after controlling for other forms of emotion dysregulation. Non-acceptance of emotions and difficulties achieving goals when upset also related to several impulsive behaviors. Conclusions: Certain emotion regulation difficulties, particularly poor emotional clarity, may represent specific mechanisms that lead to maladaptive impulsive behaviors. Findings provide useful information for incorporating specific emotion regulation skills in harm prevention programs and treatments for university students.

Cortical GABA levels are reduced in young adult binge drinkers: Association with recent alcohol consumption and sex

Binge drinking refers to a pattern of alcohol intake that raises blood alcohol concentration to or above legal intoxication levels. It is common among young adults and is associated with health risks that scale up with alcohol intake. Acute intoxication depresses neural activity via complex signaling mechanisms by enhancing inhibition mediated by gamma-amino butyric acid (GABA), and by decreasing excitatory glutamatergic effects. Evidence primarily rooted in animal research indicates that the brain compensates for the acute depressant effects under the conditions of habitual heavy use. These neuroadaptive changes are reflected in neural hyperexcitability via downregulated inhibitory signaling, which becomes apparent as withdrawal symptoms. However, human evidence on the compensatory reduction in GABA signaling is scant. The neurochemical aspect of this mechanistic model was evaluated in the present study with proton magnetic resonance spectroscopy (¹H-MRS) which is sensitive to GABA plus macromolecule signal (GABA + ). Furthermore, we examined sex differences in GABA + levels as a function of a recent history of binge drinking, given interactions between endogenous neurosteroids, GABA signaling, and alcohol. The study recruited young adult women and men (22.2 ± 2.8 years of age) who were classified as binge drinkers (BDs, N = 52) if they reported ≥ 5 binge episodes in the previous six months. Light drinkers (LDs, N = 49) reported drinking regularly, but not exceeding ≤ 2 binge episodes in the past six months. GABA-edited ¹H-MR spectra were acquired from the occipital cortex at 3 T with the MEGA-PRESS sequence. GABA + signal was analyzed relative to water and total creatine (Cr) levels as a function of binge drinking history and sex. Controlling for within-voxel tissue composition, both GABA + indices showed decreased GABA + levels in BDs relative to LDs. The reduced GABA + concentration was associated with occasional high-intensity drinking in the BD group. This evidence is consistent with compensatory GABA downregulation that accompanies alcohol misuse, tipping the excitation/inhibition balance towards hyperexcitability. Analysis of the time course of GABA + neuroplasticity indicated that GABA + was lowest when measured one day after the last drinking occasion in BDs. While the BD vs LD differences were primarily driven by LD women, there was no interaction between Sex and a history of binge drinking. GABA + was higher in LD women compared to LD men. Aligned with the allostasis model, the mechanistic compensatory GABA downregulation observed in young emerging adults engaging in occasional binge drinking complements direct neural measures of hyperexcitability in BDs. Notably, these results suggest that neuroadaptation to alcohol is detectable at the levels of consumption that are within a normative range, and may contribute to adverse health outcomes.

Developmental and etiological patterns of substance use from adolescence to middle age: A longitudinal twin study

BACKGROUND

The common liability to addiction framework suggests the tendency to use substances is largely a general heritable liability, but little is known about how expression of liability varies across development. We evaluated average developmental trajectories and covariation underlying commonly used substances using a genetically informative prospective design spanning three decades.

METHODS

Using a sample of 3762 twins across seven waves of assessment spanning ages 14-40, we modeled these relationships using two complementary approaches: piecewise latent growth and common factor modeling on four measures of alcohol, tobacco, and marijuana use RESULTS: Average use increased across adolescence and either stabilized (alcohol frequency) or declined (all others) in adulthood. Trajectories were heritable (~.35-.75), and genetically correlated with one another (~.40-.80). The random intercepts, centered at age 16, exhibited shared environmental correlations across substances. We found moderate to large phenotypic (rp~.3-.9) and genetic correlations (rg~.3-1) among the longitudinally varying common factors loading on use of each substance at each age. The factor loadings declined with age, reflecting waning influence of common etiology in substance use.

CONCLUSIONS

Trajectories of substance use were strongly correlated with each other and influenced primarily by genetic and non-shared environment. A heritable common factor accounted for co-occurring substance use from mid-adolescence to mid-adulthood, and greater substance specificity emerged with maturation. These results extend and reinforce prior work examining consumption and problem use, providing new evidence over a broad age range showing that substance use behaviors are influenced by a more general liability in adolescence and specificity increases across development.

Age, Period, and Cohort Effects in Alcohol Use in the United States in the 20th and 21st Centuries: Implications for the Coming Decades

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. Keyes' presentation at the event. NIAAA Director George F. Koob, Ph.D., serves as editor of the Festschrift.

An Association of Adverse Childhood Experiences with Binge Drinking in Adulthood: Findings from a Population-Based Study

Background: Adverse childhood experiences (ACEs) are a major public health issue linked to negative health outcomes. Yet, few recent studies drawing on national data have examined the association between ACEs and binge drinking. Objective: The objective of this study was to examine the association between ACEs and binge drinking among adults in the United States and whether this association is dependent on sex. Methods: Data for this study were obtained from the 2019 Behavioral Risk Factor Surveillance System survey. An analytic sample of 41,322 adults aged 18-64 years (50.7% male) from 17 states was analyzed using binary logistic regression. The outcome variable was binge drinking, and the main explanatory variable was ACEs. Results: Of the 41,322 respondents, 21.3% engaged in binge drinking. About 30% of the respondents had no ACEs and 23.9% had four or more ACEs. In the multivariable logistic regression, we observed that sex moderated the association between ACEs and binge drinking. Odds were 1.36 times higher for females who experienced two ACEs (aOR = 1.36 p < .05, 95% CI = 1.04-1.77) and 1.58 times higher for females who experienced three ACEs (aOR = 1.58 p < .01, 95% CI = 1.17-2.12) to engage in binge drinking. Other factors associated with binge drinking include younger age, non-Hispanic White, higher income level, higher education, not being married, being overweight, and history of cigarette smoking. Conclusion: The findings of this study underscore the importance of developing sex-appropriate screening and intervention strategies to support individuals exposed to ACEs and potentially mitigate negative health outcomes later in life.

Binge drinking in early adulthood: A machine learning approach

Binge drinking among young adults (18-25) has been recognized as a public health concern. Considerable variation among drinking behaviors have been found among this group. Several statistical methods are available to identify theoretically and empirically meaningful correlates of binge drinking. The present study evaluated three methods for identifying correlates of binge drinking, comparing logistic regression to two machine learning methods-classification tress and random forests. While each model identified similar correlates of binge drinking-such as propensity for engaging in risky behaviors, marijuana dependence, cocaine dependence, identifying as non-Hispanic white, and higher education-the AUC analysis showed that the random forest analysis more accurately classified positive cases of binge drinking. Random forests modelling of psychosocial data is a feasible approach for identifying correlates of binge drinking behaviors among young adults. Clinical implications are discussed related to screening for binge drinking in behavioral health organizations.

Local and network-level dysregulation of error processing is associated with binge drinking

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Go/NoGo performance does not differ between binge (BDs) and light drinkers.

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BDs show greater BOLD activity to inhibition errors primarily in prefrontal areas.

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Greater functional connectivity in the frontal cortex correlates with drinking.

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Observed increase in error-related activity may serve a compensatory role.

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This is consistent with allostatic hyperexcitability reflecting neuroadaptation.

Binge drinking refers to the pattern of alcohol consumption that brings blood alcohol levels to or above legal intoxication levels. Commonly practiced by young adults, it is associated with neurofunctional alterations, raising health-related concerns. Executive deficits may contribute to the inability to refrain from excessive alcohol intake. As a facet of cognitive control, error processing allows for flexible modification of behavior to optimize future outcomes. It is highly relevant to addiction research, as a failure to inhibit excessive drinking results in relapses, which is a hallmark of alcohol use disorder. However, research on local and system-level neural underpinnings of inhibition failures as a function of binge drinking is limited. To address these gaps, functional magnetic resonance imaging (fMRI) was used to examine local changes and interregional functional connectivity during response inhibition errors on a Go/NoGo task. Young adult binge drinkers (BDs) performed equally well as light drinkers (LDs), a group of demographically matched individuals who drink regularly but in low-risk patterns. In contrast, BDs exhibited greater fMRI activity to inhibition errors contrasted with correct NoGo trials in the rostral anterior (rACC) and posterior cingulate cortices (PCC), as well as right middle frontal gyrus (R-MFG). Furthermore, BDs showed increased connectivity between the rACC and right lateral prefrontal cortex, in addition to greater connectivity between the R-MFG and the left ventrolateral and superior frontal cortices. Imaging indices were positively correlated only with alcohol-related measures, but not with those related to moods, disposition, or cognitive capacity. Taken together, greater error-related activity and expanded functional connectivity among prefrontal regions may serve a compensatory role to maintain efficiency of inhibitory control. Aligned with prominent models of addiction, these findings accentuate the importance of top-down control in maintaining low-risk drinking levels. They provide insight into potentially early signs of deteriorating cognitive control functions in BDs and may help guide intervention strategies aimed at preventing excessive drinking habits.

Forecasting future prevalence and gender differences in binge drinking among young adults through 2040

BACKGROUND

Binge drinking among adolescents and young adults has changed over time, but patterns differ by age and gender. Identifying high-risk groups to target future efforts at reducing drinking in this population remains a public health priority. Forecasting methods can provide a better understanding of variation and determinants of future binge drinking prevalence.

METHODS

We implemented regression-based forecasting models to estimate the prevalence and gender differences in binge drinking among cohort groups of U.S. young adults, ages 18, 23-24, and 29-30 through 2040. Forecasting models were adjusted for covariates accounting for changes in demographic, Big-5 social roles (e.g., residential independence), and drinking norms and related substance use, to understand the drivers of forecasted binge drinking estimates.

RESULTS

From the last observed cohort group (years varied by age) through 2040, unadjusted binge drinking prevalence was forecasted to decrease from 26% (95% CI: 20, 33%) (2011-15) to 11% (95% CI: 4, 27%) at age 18, decrease from 38% (95% CI: 30, 45%) (2006-2010) to 34% (95% CI: 18, 55%) at ages 23/24, and increase from 32% (95% CI: 25, 40%) (2001-2005) to 35% (95% CI: 16, 59%) at ages 29/30. Gender-stratified forecasts show a continuation in the narrowing of binge drinking prevalence between young men and women, though the magnitude of narrowing differs by age. Estimated trends were partially explained by changing norms regarding drinking and other substance use, though these indirect effects explained less of the total trend as age increased.

CONCLUSIONS

Understanding how covariates influence binge drinking trends can guide public health policies to leverage the most important determinants of future binge drinking to reduce the harm caused by binge drinking from adolescence to adulthood.

Cohort and age trends in age 35-45 prevalence of alcohol use disorder symptomology, by severity, sex, race, and education

AIMS

To present national trends by age and cohort among middle-aged adults in the prevalence of AUD symptomology, by severity, sex, race, and education.

DESIGN

National, multi-cohort longitudinal probability samples of US adults, with data collected at ages 35, 40, and 45 among 14 cohorts who reached age 45 between 2003 and 2016.

SETTING

Data were collected via self-administered questionnaires to adults in the United States.

PARTICIPANTS

The sample consisted of 20,634 individuals.

MEASUREMENTS

5-year prevalence of symptoms consistent with a DSM-5 AUD.

FINDINGS

Between ages 35-45 prevalence of any AUD symptoms decreased 19 %; decreases were most evident between ages 35-40. From 2003 to 2016, AUD symptoms were steady across cohort. However, because the pace of decrease across ages 35-45 slowed across cohort, cohort differences emerged at specific ages: age 35 prevalence decreased 18 % across cohort, but age 45 prevalence was equivalent across cohort. Age and cohort effects, and their interaction, did not vary by AUD severity level. Declines in AUD symptoms across age were 17 % slower for women, and declines in AUD symptoms across age and cohort were 11 % and 29 % slower, respectively, for those with a college degree. The protection afforded by a college degree was reversed among mild AUD and most pronounced for severe AUD.

CONCLUSIONS

AUDs may be more plastic and responsive to intervention during early mid-life than later. Despite progress in reducing the burden of AUD in the US population among younger middle-aged adults, an increased focus remains necessary as they continue to age.

Cohort effects on gender differences in alcohol use in the United States: How much is explained by changing attitudes towards women and gendered roles?

Gender differences in binge drinking have converged in recent cohorts, due in part to faster decreases in consumption among boys in adolescence, and faster increases in consumption among women in young to middle adulthood. Changes in education and occupation explain a portion, but not all, of these differences; the present study examines how attitudes about gender, religion and family additionally explain cohort effects in binge drinking by sex. Data were drawn from the Monitoring the Future panel studies, including >54,000 participants who were high school seniors from 1976 through 2006, followed to age 29/30 from 1988 through 2016. The main effect relationship between cohort and binge drinking was assessed, and 28 items on gender, religion and family were evaluated to determine if mediation criteria were met; mediation models assessed direct and indirect effects. Results indicated that gender, religion and family attitudes and beliefs among US adults across the 20 th and 21 st centuries have shifted dramatically but not monotonically. US adolescents and adults have largely become less religious; some attitudes on women and family have become less conservative and some more. Among men, views on marriage showed the largest mediation effects; agreeing with the statement 'one partner is too restrictive' mediated 3.35% of the cohort effect (95% C.I. 2.42, 4.31) and 'couples should live together before they are married' mediated 1.6% of the cohort effect (95% C.I. -2.37, -0.8). Among women, declines in religious service attendance mediated 2.0% of cohort effects in binge drinking (95% C.I. -3.03, -1.09), as well as similar family attitudes as men. In conclusion, changes in social roles, as well as some gender, and religious views, partially mediate cohort effects on binge drinking for men and women. The dynamic changes in how adolescents and adults view family and gender are important components of alcohol epidemiology.

A Researcher's Guide to the Measurement and Modeling of Puberty in the ABCD Study® at Baseline

The Adolescent Brain Cognitive Development℠ (ABCD) Study is an ongoing, diverse, longitudinal, and multi-site study of 11,880 adolescents in the United States. The ABCD Study provides open access to data about pubertal development at a large scale, and this article is a researcher's guide that both describes its pubertal variables and outlines recommendations for use. These considerations are contextualized with reference to cross-sectional empirical analyses of pubertal measures within the baseline ABCD dataset by Herting, Uban, and colleagues (2021). We discuss strategies to capitalize on strengths, mitigate weaknesses, and appropriately interpret study limitations for researchers using pubertal variables within the ABCD dataset, with the aim of building toward a robust science of adolescent development.

Binge drinking is associated with altered resting state functional connectivity of reward-salience and top down control networks

Binge drinking is characterized by bouts of high-intensity alcohol intake and is associated with an array of health-related harms. Even though the transition from occasional impulsive to addictive alcohol use is not well understood, neurobiological models of addiction suggest that repeated cycles of intoxication and withdrawal contribute to the development of addiction in part through dysregulation of neurofunctional networks. Research on the neural sequelae associated with binge drinking is scant but resting state functional connectivity (RSFC) studies of alcohol use disorders (AUD) indicate that the development and maintenance of long-term excessive drinking may be mediated by network-level disruptions. The present study examined RSFC in young adult binge (BD) and light (LD) drinkers with seeds representing the networks subserving reward (the nucleus accumbens and caudate nucleus), salience (anterior cingulate cortex, ACC), and executive control (inferior frontal cortex, IFC). BDs exhibited enhanced connectivity between the striatal reward areas and the orbitofrontal cortex and the ACC, which is consistent with AUD studies and may be indicative of alcohol-motivated appetitive behaviors. Conversely, BDs demonstrated lower connectivity between the IFC and hippocampus which was associated with higher craving. This may indicate impaired ability to suppress unwanted thoughts and a failure to employ memory of the harmful consequences of heavy drinking in prospective plans and intentions. The observed greater connectivity of the reward/salience network and the lower prefrontal-hippocampal connectivity were associated with hazardous drinking levels indicating that dysregulation of neurofunctional networks may underlie binge drinking patterns.

Do Brief Alcohol Interventions Reduce Driving After Drinking Among College Students? A Two-step Meta-analysis of Individual Participant Data

Aims

College students who drink are at an increased risk of driving after drinking and alcohol-involved traffic accidents and deaths. Furthermore, the persistence of driving after drinking over time underscores a need for effective interventions to prevent future drunk driving in adulthood. The present study examined whether brief alcohol interventions (BAIs) for college students reduce driving after drinking.

Methods

A two-step meta-analysis of individual participant data (IPD) was conducted using a combined sample of 6801 college students from 15 randomized controlled trials (38% male, 72% White and 58% first-year students). BAIs included individually delivered Motivational Interviewing with Personalized Feedback (MI + PF), Group Motivational Interviewing (GMI), and stand-alone Personalized Feedback (PF) interventions. Two outcome variables, driving after two+/three+ drinks and driving after four+/five+ drinks, were checked, harmonized and analyzed separately for each study and then combined for meta-analysis and meta-regression analysis.

Results

BAIs lowered the risk of driving after four+/five+ drinks (19% difference in the odds of driving after drinking favoring BAIs vs. control), but not the risk of driving after two+/three+ drinks (9% difference). Subsequent subgroup analysis indicated that the MI + PF intervention was comparatively better than PF or GMI.

Conclusions

BAIs provide a harm reduction approach to college drinking. Hence, it is encouraging that BAIs reduce the risk of driving after heavy drinking among college students. However, there may be opportunities to enhance the intervention content and timing to be more relevant for driving after drinking and improve the outcome assessment and reporting to demonstrate its effect.

Longitudinal Change in Alcohol Use and Motivations for Drinking Among Asian American College Students

BACKGROUND

Asian Americans are understudied in the literature on alcohol, due to data limitations and the perception that they are at low risk for alcohol misuse. Yet, certain subpopulations-such as college students-may be at higher risk. The current study examined longitudinal change in alcohol use and motivations for drinking among Asian American students. We tested for differences by nativity status, ethnic origin, and gender and examined whether motivations covaried with alcohol use.

METHODS

Asian American first-year college students (N = 199, 45.7% female, 37.7% foreign-born) attending a US university were identified through stratified random sampling using registrar information. For 7 consecutive semesters, students completed online surveys about their behaviors and beliefs.

RESULTS

Multilevel models demonstrated that alcohol use and alcohol-related motivations increased over time. US-born students consistently consumed more alcoholic drinks, reached higher peak drinking levels, and drank more frequently than foreign-born students; however, motivations did not differ by nativity status. Chinese American students consumed less alcohol, drank less, and were more motivated to avoid alcohol-related consequences than students of other/multiple heritage ethnic origins. Each motivation subscale was associated with alcohol use at the between-person level. Likewise, within-person variability in motivations was linked to variability in drinking across semesters. Controlling for other motivations, drinking for fun emerged as the strongest correlate of alcohol use variability.

CONCLUSIONS

Alcohol misuse was highest among US-born students and those with higher motivations for drinking. Furthermore, alcohol use varied in tandem with motivations, suggesting that motivations may be a useful intervention target among this population.

The Influence of Drinking Buddies: A Longitudinal Investigation of Drinking Motivations and Drinking Behaviors in Emerging Adults

Background: Heavy alcohol consumption and frequent alcohol use are associated with many adverse social and physical consequences. The different motivations underlying why people drink predict different patterns of alcohol consumption. A drinking buddy (i.e. a friend with whom a person drinks alcohol) influences a person's drinking via social learning, leading to escalations in drinking over time. Purpose: Few studies have investigated drinking motives among peers and none have studied whether the drinking motives of a drinking buddy can influence another person's drinking behavior; we sought to fill that gap. Method: Same-sex drinking buddies (N = 174; 66.1% female) were assessed once monthly for four months using self-report questionnaires. Participants were on average 18.66 years-old (SD = 1.17). Results: Indistinguishable actor-partner interdependence models using multilevel path analysis were conducted, with each drinking motive predicting drinking frequency and quantity, respectively. There were significant actor effects for social, enhancement, conformity, and coping motives; moreover, the enhancement, social, and coping-anxiety motives of the drinking buddy influenced the individual's drinking frequency across the four months of the study. Conversely, only the enhancement motives of the buddy predicted drinking quantity in the individual when averaged across time. Sex was not a significant moderator of these effects. Importance: When targeting risky drinking behavior in a therapeutic context, assessing and addressing a person's reasons for drinking, as well as their drinking buddy's reasons for drinking, may reduce the risk of escalations in either friend's drinking frequency over time.

Key Subgroup Differences in Age-Related Change From 18 to 55 in Alcohol and Marijuana Use: U.S. National Data

OBJECTIVE

This study examined age-related change in alcohol use, marijuana use, and the association between the two, from ages 18 to 55, in a national longitudinal sample.

METHOD

Data were from national Monitoring the Future study participants (N = 11,888) who were high school seniors in 1976-1980 and were eligible to respond to the age 55 survey in 2013-2017. Time-varying effect modeling was used to model past-30-day prevalence and associations between alcohol and marijuana across ages 18-55, overall and by sex, race/ethnicity, and college attendance.

RESULTS

Marijuana prevalence peaked at age 18 and was lowest in the late 40s; alcohol prevalence peaked at age 22 and was lowest in the early 40s. Associations between alcohol and marijuana use were strongest at age 18. Significant differences were observed by sex, race/ethnicity, and college attendance (e.g., women's use was lower and decreased faster in the late 30s than men's; White respondents' alcohol and marijuana use were higher and peaked before Black respondents'; compared with non-attenders, college attenders' use was higher for alcohol but lower for marijuana). The alcohol and marijuana use association was strongest at ages 18-20 for most subgroups, except Black respondents, for whom the association was strongest at age 30.

CONCLUSIONS

Longitudinal data showed patterns of alcohol and marijuana use across adulthood. Such patterns highlight sociodemographic risk factors across the life span, ages that should be targeted for clinician awareness and intervention efforts, and populations at particular risk of harm from alcohol and marijuana co-use during adulthood.

The Emerging Adult Reasons for Substance Use (EARS): Preliminary Support for Multidimensionality, Validity and Reliability

Introduction: Substance use peaks during the transition to adulthood, beckoning additional research on its developmental influences. This article reports initial findings on the validity and reliability of the Emerging Adult Reasons for Substance use (EARS), a new measure of substance use motives based on Arnett's (2000) proposed emerging adult dimensions. Method: Content experts in emerging adulthood theory generated EARS items and collected data from a large online sample. We completed exploratory (EFA) and confirmatory factor analyses (CFA) on split halves of the total sample (n = 750). Then, we tested for invariance across genders and age cohorts, as well as examined cross-correlations with the Inventory of Dimensions of Emerging Adulthood (IDEA), Drinking Motives Questionnaire (DMQ-Revised), and measures of substance use. Results: The EFA identified three internally consistent factors: Normative Expectancy, Developmental Strain, and Subjective Invulnerability. Confirmatory factor analyses supported the three factor model, but fit indices were slightly below published standards (RSMEA = .82, CFI = .85, TLI = .83, SRMR = .07). For Normative Expectancy and Developmental Strain, intercepts varied across age cohorts, with higher intercepts for emerging relative to older adults. The patterns of correlations generally supported the construct validity of the EARS subscales. Conclusion: The EARS is reliable and valid, and appears to measure developmentally specific motives for substance use. Additional studies may further validate this promising instrument.

Key Subgroup Differences in Age-Related Change From 18 to 55 in Alcohol and Marijuana Use: U.S. National Data

OBJECTIVE

This study examined age-related change in alcohol use, marijuana use, and the association between the two, from ages 18 to 55, in a national longitudinal sample.

METHOD

Data were from national Monitoring the Future study participants (N = 11,888) who were high school seniors in 1976-1980 and were eligible to respond to the age 55 survey in 2013-2017. Time-varying effect modeling was used to model past-30-day prevalence and associations between alcohol and marijuana across ages 18-55, overall and by sex, race/ethnicity, and college attendance.

RESULTS

Marijuana prevalence peaked at age 18 and was lowest in the late 40s; alcohol prevalence peaked at age 22 and was lowest in the early 40s. Associations between alcohol and marijuana use were strongest at age 18. Significant differences were observed by sex, race/ethnicity, and college attendance (e.g., women's use was lower and decreased faster in the late 30s than men's; White respondents' alcohol and marijuana use were higher and peaked before Black respondents'; compared with non-attenders, college attenders' use was higher for alcohol but lower for marijuana). The alcohol and marijuana use association was strongest at ages 18-20 for most subgroups, except Black respondents, for whom the association was strongest at age 30.

CONCLUSIONS

Longitudinal data showed patterns of alcohol and marijuana use across adulthood. Such patterns highlight sociodemographic risk factors across the life span, ages that should be targeted for clinician awareness and intervention efforts, and populations at particular risk of harm from alcohol and marijuana co-use during adulthood.

Comparison of a web-push survey research protocol with a mailed paper and pencil protocol in the Monitoring the Future panel survey

AIMS

The experiment tested the effects of a web-push survey research protocol, compared with the standard mailed paper-and-pencil protocol, among young adults aged 19-30 years in the 'Monitoring the Future' (MTF) longitudinal study.

DESIGN, SETTING AND PARTICIPANTS

The US-based MTF study has measured substance use trends among young adults in panel samples followed biennially, using consistent mailed survey procedures from 1977 to 2017. In 2018, young adult participants in the MTF longitudinal component scheduled to be surveyed at ages 19-30 in 2018 (from high school senior cohorts of 2006-17, n = 14 709) were randomly assigned to receive the standard mail/paper survey procedures or new web-push procedures.

MEASUREMENTS

Primary outcomes were responding to the survey and prevalence estimates for past 30-day use of alcohol, cigarettes, marijuana and illicit drugs.

FINDINGS

The web-push response rate was 39.07% [95% confidence interval (CI) = 37.889, 40.258]; this was significantly better than the standard MTF response rate of 35.12% (95% CI = 33.964, 36.285). After adjusting for covariates, the web-push condition was associated with a 19% increase in the odds of responding compared with standard MTF (adjusted odds ratio = 1.188; 95% CI = 1.096, 1.287). Substance use prevalence estimates were very similar and differences became negligible when using attrition weights and controlling for socio-demographic characteristics.

CONCLUSIONS

The web-push protocol produced a higher response rate than the mailed pencil and paper protocol in the Monitoring the Future panel study, without substantially affecting estimates of substance use once attrition weights and socio-demographic variables were factored in.

Understanding the Influence of Eating Patterns on Binge Drinking: A Mediation Model

BACKGROUND

Binge drinking is an important health problem, and it has been related to binge eating and fat intake in animal models, but this relationship has not been tested in humans. The first objective of this study was to analyze whether binge eating and fat intake are related to binge drinking in a youth sample. The second objective was to analyze whether binge eating and fat intake mediate the relationship between individual factors associated with binge eating and fat intake (sex, body mass index (BMI), drive for thinness, body dissatisfaction, eating styles, impulsivity, and food addiction) and binge drinking.

METHODS

A sample of 428 undergraduate students filled out several questionnaires on binge drinking, binge eating, fat intake, drive for thinness, body dissatisfaction, eating styles, food addiction, and impulsivity.

RESULTS

Results showed an excellent model fit: χ2(25) = 30.342 (p = 0.212), comparative fit index (CFI) = 0.992, root mean squared error of approximation (RMSEA) = 0.022 [90% CI = 0.000, 0.047]. Binge eating and fat intake were positively related to binge drinking. Furthermore, emotional eating, external eating, and food addiction showed positive and statistically significant indirect relationships with binge drinking, whereas the relationship with restrained eating was negative.

CONCLUSIONS

These findings point to the need to use a broader approach in understanding and preventing binge drinking in the youth population by showing the influence of the eating pattern on this problem. This information could be helpful in preventing future behaviors and improving interventions that address health risk behaviors.

When does attrition lead to biased estimates of alcohol consumption? Bias analysis for loss to follow-up in 30 longitudinal cohorts

OBJECTIVES

Survey nonresponse has increased across decades, making the amount of attrition a focus in generating inferences from longitudinal data. Use of inverse probability weights [IPWs] and other statistical approaches are common, but residual bias remains a threat. Quantitative bias analysis for nonrandom attrition as an adjunct to IPW may yield more robust inference.

METHODS

Data were drawn from the Monitoring the Future panel studies [twelfth grade, base-year: 1976-2005; age 29/30 follow-up: 1987-2017, N = 73,298]. We then applied IPW imputation in increasing percentages, assuming varying risk differences [RDs] among nonresponders. Measurements included past-two-week binge drinking at base-year and every follow-up. Demographic and other correlates of binge drinking contributed to IPW estimation.

RESULTS

Attrition increased: 31.14%, base-year 1976; 61.33%, base-year 2005. The magnitude of bias depended not on attrition rate but on prevalence of binge drinking and RD among nonrespondents. The probable range of binge drinking among nonresponders was 12-45%. In every scenario, base-year and follow-up binge drinking were associated. The likely range of true RDs was 0.14 [95% CI: 0.11-0.17] to 0.28 [95% CI: 0.25-0.31].

CONCLUSIONS

When attrition is present, the amount of attrition alone is insufficient to understand contribution to effect estimates. We recommend including bias analysis in longitudinal analyses.