"It Just Kind of Happens": College Students' Rationalizations for Blackout Drinking

Long-term impact of familismo and ethnic identity on latinx college student drinking and high-risk consequences

Familismo, ethnic pride, and ethnic shame were examined as longitudinal predictors of Latinx college student alcohol use and high-risk alcohol-related consequences. Latinx students completed measures during the fall of their first (T1), second (T2), and fourth (T4) year of college. T1 familismo was positively associated with T2 ethnic pride and negatively associated with T2 ethnic shame. T2 ethnic pride was negatively associated with T4 drinking, while T2 ethnic shame was positively associated with T4 drinking. T4 drinking was positively associated with T4 consequences. Results suggest that Latinx ethnic pride and ethnic shame during the second-year of college act as mediators between first-year familismo and fourth-year drinking and consequences.

The Relationship between Drunkorexia, Alcohol, and Blackouts Among College Students: An Exploratory Study

College drinkers commonly report blacking out (i.e., alcohol-induced amnesia), and those who drink with the intention to blackout are at risk for harmful consequences. Drunkorexia (i.e., restriction of calories on planned drinking days) is a high-risk behavior potentially associated with blacking out. Informed by the Theory of Planned Behavior (TPB), this study explores blackout experiences and intentions to blackout association with drunkorexia. College students (n=2335) who primarily identified as female and White participated via an online survey. Participants received a $3 coupon for completion of the study. Consistent with the literature, 40% and 60.7% participants reported experiencing blackouts and drunkorexia respectively in the last year. Informed by the TPB, a structural equation model assessed if more frequency blackout experiences (IV) related to drunkorexia behaviors (DV1) and alcohol behaviors (DV2), and if there was a significant indirect effect through blackout intention. The model fit the data well (CFI=.98, TLI=.95) and suggests that more frequent blackout experiences relate to more drunkorexia experiences (R²=.04) and higher levels of alcohol consumption (R²=.44). In addition, the relationship between blackout experiences and drunkorexia flows through intentions to blackout (i.e., a significant indirect effect). Findings are consistent with TPB, which suggests intentions predict health behavior. Future interventions should consider modifying intentions and other possible TPB constructs to minimize high risk alcohol consumption and drunkorexia behaviors.

"I Haven't Been Diagnosed, but I Should Be"-Insight Into Self-diagnoses of Common Mental Health Disorders: Cross-sectional Study

BACKGROUND

In recent years, social media has become a rich source of mental health data. However, there is a lack of web-based research on the accuracy and validity of self-reported diagnostic information available on the web.

OBJECTIVE

An analysis of the degree of correspondence between self-reported diagnoses and clinical indicators will afford researchers and clinicians higher levels of trust in social media analyses. We hypothesized that self-reported diagnoses would correspond to validated disorder-specific severity questionnaires across 2 large web-based samples.

METHODS

The participants of study 1 were 1123 adults from a national Qualtrics panel (mean age 34.65, SD 12.56 years; n=635, 56.65% female participants,). The participants of study 2 were 2237 college students from a large university in the Midwest (mean age 19.08, SD 2.75 years; n=1761, 75.35% female participants). All participants completed a web-based survey on their mental health, social media use, and demographic information. Additionally, the participants reported whether they had ever been diagnosed with a series of disorders, with the option of selecting "Yes"; "No, but I should be"; "I don't know"; or "No" for each condition. We conducted a series of ANOVA tests to determine whether there were differences among the 4 diagnostic groups and used post hoc Tukey tests to examine the nature of the differences.

RESULTS

In study 1, for self-reported mania (F3,1097=2.75; P=.04), somatic symptom disorder (F3,1060=26.75; P<.001), and alcohol use disorder (F3,1097=77.73; P<.001), the pattern of mean differences did not suggest that the individuals were accurate in their self-diagnoses. In study 2, for all disorders but bipolar disorder (F3,659=1.43; P=.23), ANOVA results were consistent with our expectations. Across both studies and for most conditions assessed, the individuals who said that they had been diagnosed with a disorder had the highest severity scores on self-report questionnaires, but this was closely followed by individuals who had not been diagnosed but believed that they should be diagnosed. This was especially true for depression, generalized anxiety, and insomnia. For mania and bipolar disorder, the questionnaire scores did not differentiate individuals who had been diagnosed from those who had not.

CONCLUSIONS

In general, if an individual believes that they should be diagnosed with an internalizing disorder, they are experiencing a degree of psychopathology similar to those who have already been diagnosed. Self-reported diagnoses correspond well with symptom severity on a continuum and can be trusted as clinical indicators, especially in common internalizing disorders such as depression and generalized anxiety disorder. Researchers can put more faith into patient self-reports, including those in web-based experiments such as social media posts, when individuals report diagnoses of depression and anxiety disorders. However, replication and further study are recommended.

A Longitudinal Examination of Alcohol-Related Blackouts as a Predictor of Changes in Learning, Memory, and Executive Function in Adolescents

INTRODUCTION

In adolescents, the relationship between alcohol-related blackouts (ARBs) and distinct cognitive changes lasting beyond intoxication is unclear. We examined ARBs as a predictor of persistent changes in the development of learning, memory, and executive function in participants from the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study.

METHODS

Descriptive analyses of the NCANDA sample (N = 831, 50.9% female, 12-21 years at baseline) identified ARB patterns within participants with an ARB history (n = 106). Latent growth curve modeling evaluated ARB-related performance changes on four neuropsychological measures across five years, excluding baseline data to reduce the magnitude of practice effects over time (n = 790). Measures included the Penn Conditional Exclusion Test (PCET), Penn Letter N-back Test (PLBT), Penn Facial Memory Test immediate (PFMT_i), and delayed (PFMT_d) recognition trials, and the Rey Complex Figure Test copy (RCFT_c), immediate recall (RCFT_i), and delayed recall (RCFT_d) trials. Multivariate models were fit for raw accuracy scores from each measure, with ARB history (i.e., presence of past-year ARBs) as the main independent variable. Age, sex, race, socioeconomic status, assessment site, and alcohol use (i.e., past-year frequency) were included as covariates. Interaction effects between ARB history and alcohol use frequency were tested.

RESULTS

By year five, 16% of participants had experienced at least one ARB (59% of whom reported > 1 ARB and 57% of whom had an ARB lasting > 1 h). After controlling for demographics and alcohol use, ARB history predicted attenuated PFMT_d performance growth at year one. Interaction effects between ARB history and alcohol use frequency predicted attenuated PFMT_d performance growth at years one and two. ARB history predicted attenuated RCFT_i and RCFT_d performance growth by year four, but not PCET or PLBT performance over time. By contrast, greater past-year alcohol use predicted attenuated PFMT_i and PFMT_d performance growth between years two and four in adolescents without an ARB history.

CONCLUSION

We found that ARBs predict distinct, lasting changes in learning and memory for visual information, with results suggesting that the developing brain is vulnerable to ARBs during adolescence and emerging adulthood.

What is binge drinking? Insights from a network perspective

This study aimed to delineate the specific characteristics of binge drinking habits by capitalizing on data-driven network analysis. Such an approach allowed us to consider binge drinking as a network system of interacting elements, thus identifying the key variables involved in this phenomenon. A total of 1,455 university students with excessive drinking habits were included in this study. We assessed the most critical features of binge drinking (i.e., the consumption of more than six alcohol units per occasion, drunkenness frequency, consumption speed), together with alcohol use and more general alcohol-related components of dysfunction and harm. All variables were considered in the network analysis. Centrality analysis identified drunkenness frequency as the most influential variable in the entire network. Community detection analysis showed three distinct subnetworks related to alcohol use, drunkenness, and dysfunction/harm components. Drunkenness frequency and blackout occurrence emerged as core bridge items in the binge drinking network. Drunkenness is recognized as the hallmark feature of binge drinking.

"I Still Don't Know What Happened, Complete Blackout": a Content Analysis of Tweets Referencing Alcohol-Induced Amnesia

OBJECTIVE

We qualitatively examined the content of alcohol-related blackouts posts ("Tweets") on Twitter, focusing on reflections post-drinking that involved clear references to memory loss.

METHODS

We examined publically available Tweets that referenced blackouts after an alcohol consumption event (n = 3,574).

RESULTS

Twitter represents a relatively unfiltered glimpse at reflections on alcohol-induced amnesia. As hypothesized, most tweets referencing blackouts did not clearly describe amnesia. In the Tweets that clearly reference amnesia, we identified several themes. Tweeters referenced an 'AlterEgo' who was responsible for all the intoxicated behaviors that were inconsistent with the Tweeter's personality. Additionally, the Tweets discussed ways in which the drinker recovered memories (e.g. from friends, from social media), other events that occurred during the amnesia (e.g. loss of items, help from friends, sexual experiences), and regret about having lost memories. Some Tweeters requested assistance from their followers to reconstruct their drinking event. Tweets have the potential to set norms about acceptable behaviors or scripts following a blackout.

CONCLUSIONS

Since most blackout Tweets are ambiguous with regards to alcohol-induced amnesia, these Tweets might be leading people to believe that blackouts are passing out or just periods of heavy intoxication. In addition, themes from these Tweets can inform future interventions by using the cognitions surrounding this high-risk behavior.

Online digital recovery support services: An overview of the science and their potential to help individuals with substance use disorder during COVID-19 and beyond

Background

The COVID-19 pandemic and related social distancing public health recommendations will have indirect consequences for individuals with current and remitted substance use disorder (SUD). Not only will stressors increase risk for symptom exacerbation and/or relapse, but individuals will also have limited service access during this critical time. Individuals with SUD are using free, online digital recovery support services (D-RSS) that leverage peer-to-peer connection (i.e., social-online D-RSS) which simultaneously help these individuals to access support and adhere to public health guidelines. Barriers to SUD treatment and recovery support service access, however, are not unique to the COVID-19 epoch. The pandemic creates an opportunity to highlight problems that will persist beyond its immediate effects, and to offer potential solutions that might help address these long-standing, systemic issues. To help providers and other key stakeholders effectively support those interested in, or who might benefit from, participation in free, social-online D-RSS, this review outlines the following: 1) theories of expected therapeutic benefits from, and potential drawbacks of social-online D-RSS participation; 2) a typology that can be used to describe and classify D-RSS; 3) a D-RSS “case study” to illustrate how to apply the theory and typology; 4) what is known empirically about social-online D-RSS; and 5) whether and how to engage individuals with these online resources.

Method

Narrative review combining research and theory on both in-person recovery supports and social-online D-RSS.

Results

Studies examining in-person recovery support services, such as AA and other mutual-help organizations, combined with theory about how social-online D-RSS might confer benefit, suggest these digital supports may engage individuals with SUD and mobilize salutary change in similar ways. While people may use in-person and digital supports simultaneously, when comparing the two modalities, communication science and telemedicine group therapy data suggest that D-RSS may not provide the same magnitude of benefit as in-person services. D-RSS can be classified based on the a) type of service, b) type of platform, c) points of access, and d) organizations responsible for their delivery. Research has not yet rigorously tested the effectiveness of social-online D-RSS specifically, though existing data suggest that those who use these services generally find their participation to be helpful. Content analyses suggest that these services are likely to facilitate social support and unlikely to expose individuals to harmful situations.

Conclusions

When in-person treatment and recovery support services are limited, as is the case during the COVID-19 pandemic, expected therapeutic benefits and emerging data, taken together, suggest providers, mentors, and other community leaders may wish to refer individuals with current and remitted SUD to free, social-online D-RSS. Given the array of available services in the absence of best practice guidelines, we recommend that when making D-RSS referrals, stakeholders familiarize themselves with theorized benefits and drawbacks of participation, use a typology to describe and classify services, and integrate current empirical knowledge, while relying on trusted federal, academic, and national practice organization resource lists.

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Social-online, digital recovery support services (D-RSS) may address systemic service access barriers highlighted by COVID-19

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To aid provider and other stakeholder practices, we review relevant D-RSS theory and research

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Theory suggests D-RSS may mobilize salutary mechanisms of behavior change, though data also point to potential challenges

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Emerging D-RSS research is promising, though rigorous studies of their effectiveness have not yet been conducted

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The typology and resource lists from organizations provided here may be used for those who wish to make D-RSS referrals

Intentions and motives to experience alcohol-induced blackout among young adults in college

Blackouts are typically considered a negative consequence of alcohol use. Yet some college students report consuming alcohol with the intention of blacking out. This study examined intentions and motives for blackout drinking among young adults in college. College students with a past-year history of blackout (N = 350, 56% female, 73% White) completed an anonymous online survey. Descriptive statistics were used to examine the incidence of blackout intentions, and individuals who did and did not report future blackout intentions were then compared on drinking patterns, depressive symptoms, social norms, and outcome expectancies. Overall, 135 participants (39%) reported consuming alcohol in the past 30 days with the intention of losing memory of the night's events, and 107 (31%) reported blackout intentions in the next 30 days. When asked (via open text box) to indicate their motives for past blackout intentions, the majority of participants provided responses that fit with coping, social, or enhancement drinking motives. A larger proportion of men than women reported blackout intentions. As a group, those reporting future blackout intentions reported heavier, more frequent, and more problematic drinking, as well as more symptoms of depression and more positive (but not negative) outcome expectancies. A substantial subset of college students reporting a blackout in the past year also endorsed intentions to experience a blackout in the next 30 days. Given strong associations between intentions and subsequent behavior, interventions targeting blackout styles of drinking are warranted. The extent to which "blackout" drinking motives differ from traditional drinking motives is unclear. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Examining the relationship between social norms, alcohol-induced blackouts, and intentions to blackout among college students

BACKGROUND

Alcohol-induced blackouts are a common high-risk outcome of heavy episodic drinking and are considered a marker of problematic alcohol consumption. One's estimates of the prevalence and peer approval of heavy episodic drinking (i.e., social norm perception, descriptive and injunctive norms, respectively) strongly relate to high-risk alcohol consumption. However, it is unknown whether the intention to blackout and the occurrence of alcohol-induced blackouts also associates with these estimates. Therefore, the purpose of this paper is to explore the relation between participants' social norm perception and alcohol-induced blackout intentions and recent blackout history.

METHOD

A total of 4430 participants completed an online survey with an average age of 19.97 (SD = 1.70) years. A series of ANOVAs and a structural equation model examined the relation between social norm perception, intention to blackout, and recent blackout history.

RESULTS

In the structural equation model, the social norm variables (descriptive and injunctive norms) were associated with higher levels of blackout intentions and recent blackout history. The global fit indices suggest that the data fit the model, χ² (n = 4248, 442) = 7755.90, p < .001, CFI = .96, TLI = .96, RMSEA = .06 (CI90 .061-.064).

CONCLUSIONS

Participants with a higher likelihood of having a past 30-day history of alcohol-induced blackouts and higher blackout intentions believed that many of their peer groups approved of certain alcohol-related behaviors and that their peer groups drink frequently and drink higher quantities. Future interventions may assess the impact of adjusting social norms on both the intention to blackout and experiencing blackouts.

Rationalization is a suboptimal defense mechanism associated with clinical and forensic problems

Cushman argues that "rationalization is rational." We show that there is reasonable empirical clinical and forensic psychological evidence to support viewing rationalization as a quite suboptimal defense mechanism. Rationalization has been found to be associated not only with poorer emotional development, but also with a broad range of antisocial behavior, including not only shoplifting, but also pedophilia and murder.

A Test of the Theory of Planned Behavior in the Prediction of Alcohol-Induced Blackout Intention and Frequency

BACKGROUND

This study examined the theory of planned behavior (TPB) as an explanatory model for alcohol-induced blackouts among college students. Blackouts are periods of time wherein individuals continue to function and engage in their social environment but do not remember it as a result of consuming large quantities of alcohol. Social cognitive factors posited within TPB, such as perceived norms and personal attitudes toward alcohol consumption, are reliable predictors of alcohol use and related problems. However, research to date has not examined these theoretical antecedents as predictors of alcohol-induced blackout.

METHODS

College students with a history of blackout (N = 384) completed a baseline survey, and a subsample (N = 120) completed a 1-month follow-up survey. Negative binomial mediation models were used to evaluate intentions to blackout as a mediator of the norms, attitudes, and self-efficacy to avoid blackout-blackout frequency association at baseline and 1-month follow-up.

RESULTS

Norms, attitudes, and self-efficacy to avoid blackout all significantly predicted blackout intentions at baseline, which in turn predicted more frequent blackouts both at baseline and at 1-month follow-up. Notably, blackout attitudes demonstrated both direct and indirect associations with blackout frequency.

CONCLUSIONS

Prospective analyses provided partial support for the TPB, with only attitudes and intentions demonstrating prospective associations with actual blackout frequency. Given the particularly strong association between blackout attitudes and frequency of blackouts, attitudes may represent an important and novel target for prevention and intervention efforts.