A Preliminary Investigation of Caffeinated Alcohol Use During Spring Break

Background: Caffeinated alcoholic beverages (e.g., Red Bull and vodka) are popular but associated with negative consequences. CABs may be particularly popular during Spring Break, a potentially risky social event. Objectives: We aimed to identify the prevalence of Spring Break caffeinated alcohol use, determine how caffeinated alcohol use Spring Break drinking habits differ from usual, and examine the association between Spring Break caffeinated alcohol use and alcohol-related problems. Methods: Data were collected from 95 college students during March of 2013 and 2014. Students completed questionnaires of their alcohol and caffeinated alcohol use before and during Spring Break and Spring Break alcohol-related problems. Results: Approximately 54% of students used caffeinated alcohol during Spring Break. Spring Break caffeinated alcohol use was associated with more alcohol-related problems, even after controlling for other alcohol consumed and Spring Break vacation status. Conclusions/Importance: Caffeinated alcoholic beverages are commonly consumed during Spring Break and their use uniquely predicted harms. Prevention efforts placed on caffeinated alcoholic beverage users may be helpful in reducing Spring Break-related harms

A Daily Diary Study of Drinking and Nondrinking Days in Nonstudent Alcohol Users

Background: Emerging adults with lower educational attainment are at higher long-term risk for problematic drinking and alcohol use disorders. Efforts to gain a more in-depth understanding of the drinking habits of nonstudent emerging adults are critical to reduce disparities and to shed light on targets of intervention for this vulnerable group. Objectives: The current investigation aimed to: (1) provide a description of the daily drinking habits of nonstudent emerging adult drinkers using a 14-day diary method, and (2) examine nondrinking days by assessing their reasons for not drinking as well as strategies used to avoid drinking. Methods: Participants were 27 (55.5% women) emerging adult drinkers recruited from the community. Results: On drinking days, multilevel results indicated that heavier alcohol use was positively associated with level of subjective intoxication and alcohol-related problems. Men reported higher alcohol use outcomes than women across all alcohol use indicators. Regarding non-consumptive days, the most frequently endorsed reasons for not drinking largely reflected an internal motivation, while the least endorsed reasons were related to external constraints. Pertaining to strategies used to avoid drinking, the most frequently endorsed response related to choosing alternative enjoyable activities. Diary compliance with the 14-day protocol was 90.9% for at least one daily survey. Conclusion/Importance: The present investigation represents one of the first to examine drinking behaviors using a daily diary approach with nonstudent emerging adult drinkers. Study findings filled an important gap regarding our understanding of the context of drinking of an at risk and understudied group of drinkers

Alcohol Expectancies Mediate the Relationship Between Age of First Intoxication and Drinking Outcomes in College Binge Drinkers

Background: While prior research has shown that age of first intoxication (AI) is associated with negative alcohol outcomes, limited research has examined factors accounting for this relationship. Alcohol expectancies, or beliefs about the effects of alcohol, may explain such associations as both positive and negative expectancies have been shown to be key predictors of drinking outcomes. Objective: The present study examined expectancies as mediators between early AI and alcohol-related outcomes. Method: Data collection occurred in 2012 and 2013. Participants were college students (N = 562, 65.8% women) who completed an online survey including measures of alcohol use history, alcohol expectancies, typical alcohol consumption, and alcohol-related problems. Structural equation modeling was used to test the hypothesized model. Results: Our findings support a model whereby AI is associated with drinking through its influence on both positive and negative expectancies. Specifically, an earlier AI was associated with stronger alcohol expectancies, which in turn, was associated with heavier alcohol use and alcohol-related problems. Conclusions/Importance: These findings are consistent with expectancy theory and previous research suggesting that more experienced drinkers hold stronger drinking-related beliefs, be it positive or negative, and these expectancies ultimately explain variability in alcohol use and problems. Our findings further support that expectancies play an important role in the initiation of drinking behavior

College Student Dating Partner Drinking Profiles: Differences in Relationship Functioning and Relationship-Specific Alcohol Expectancies

Background: Although the majority of research on partner drinking styles has examined married couples, dating partners may influence one another\u27s problem behaviors including alcohol use. Objectives: This study identified patterns of at-risk alcohol use in college women and their dating partners using a person-centered statistical approach (i.e., latent profile analysis). Methods: Participants were 286 college student women in dating relationships. They completed questionnaires regarding their own and their partners\u27 drinking, alcohol use severity, intimate partner violence (IPV), relationship satisfaction, and relationship-specific alcohol expectancies. Data were collected in 2012 through 2013. Results: Results revealed three distinct, latent classes based on both partners\u27 alcohol outcomes. The Low-Risk group (58%) consisted of non-heavy drinking partners. In the High-Risk - Higher Men class (27%), men drank more than women; however, both men and women were high-risk drinkers. The High-Risk - Higher Women group (15%) consisted of high-risk drinking partners but women consumed more alcohol than men. Both high-risk couple groups were more dissatisfied in their relationships and experienced more IPV, but held stronger beliefs about how alcohol influenced their relationship. Conclusions/Importance: Findings indicate that there are several distinct classes of dating couples that differ in relationship problems and beliefs about alcohol\u27s impact on their relationship. Riskier couples differ in behaviors and alcohol-related beliefs from low-risk couples. These findings may inform the development of more efficacious alcohol interventions tailored toward high-risk drinking dating couples

Caffeinated and Non-Caffeinated Alcohol Use and Indirect Aggression: The Impact of Self-Regulation

Research shows that heavier alcohol use is associated with physical aggression. Scant research has examined the way in which alcohol relates to other forms of aggression, such as indirect aggression (e.g., malicious humor, social exclusion). Given the possible negative consequences of indirect aggression and the limited evidence suggesting alcohol use can elicit indirectly aggressive responses, research is needed to further investigate the association between drinking behavior and indirect aggression. Additionally, specific alcoholic beverages, such as caffeinated alcoholic beverages (CABs; e.g., Red Bull and vodka), may potentiate aggression above the influence of typical use, and thus warrant examination with regard to indirect aggression. One factor that may impact the strength of the alcohol-indirect aggression and CAB-indirect aggression relationships is one\u27s level of self regulation. Consequently, our study examined the relationships between (1) alcohol use and indirect aggression, (2) CAB use and indirect aggression, and (3) self-regulation as a moderator. Participants were 733 (67.6% female) undergraduate students who reported their CAB and alcohol use, self-regulation, and aggressive behaviors. Results revealed that heavier alcohol use was associated with more frequent indirect aggression after controlling for dispositional aggression. Heavier CAB use was related to more frequent indirect aggression after accounting for typical use and dispositional aggression. Self-regulation moderated these associations such that for those with lower self-regulation, greater alcohol and CAB consumption was associated with greater indirect aggression. Our findings suggest that heavier alcohol and CAB consumption may be risk factors for engaging in indirect aggression and this risk is impacted by one\u27s regulatory control

Testing a Model of Caffeinated Alcohol-Specific Expectancies

Introduction- The present study sought to further understand the association between caffeinated alcoholic beverage (CAB) use and alcohol-related risks. In particular, we focused on the role of two identified expectancies specific to CAB use: intoxication enhancement and avoidance of negative consequences. Although outcome expectancies are consistent predictors of substance use, limited research has examined expectancies related to CAB use and their association with alcohol-related behaviors, such as protecting themselves from alcohol-related harms. Consequently, the present study examined CAB-specific expectancies and protective behavioral strategies (PBS) as mediators of CAB use and negative consequences. Methods- Participants were 322 (219 women) college drinkers who completed self-report measures of typical CAB and alcohol use, CAB-specific expectancies, PBS use, and alcohol-related harms. Results- Structural equation modeling revealed, after controlling for typical non-CAB heavy alcohol use, a significant indirect effect of CAB use to alcohol-related problems through avoidance of negative consequences CAB expectancies and PBS use. However, intoxication enhancement expectancies did not mediate this association. Conclusions- Our findings indicate that heavier CAB use was associated with stronger expectations that drinking CABs can help avoid negative consequences. These beliefs were related to using fewer PBS when drinking and a greater likelihood of experiencing problems. Given that these expectancies may be underlying mechanisms of CAB use, their inclusion in existing alcohol interventions may be beneficial

A Latent Profile Analysis of Drinking Patterns Among Nonstudent Emerging Adults

Research indicates that nonstudent emerging adults, as compared to their college-attending peers, are at higher risk for experiencing alcohol-related problems, including alcohol use disorders. The present study sought to extend the limited research on nonstudent drinking by (1) identifying sub-groups of nonstudent drinkers based on their drinking patterns and (2) determining the extent to which social-cognitive between-person factors related to drinking (i.e., social expectancies, perceived drinking norms, social drinking motivations) distinguish these sub-groups. Participants were 195 (65.1% men) nonstudent emerging adult heavy episodic drinkers recruited from the community. Mean age was 21.88 (SD = 2.08) years and 45.4% were unemployed. Latent profile analysis identified two classes based on drinking across 30 days. The moderate drinkers group (n = 143; 73.3%) reported consuming 10-11 drinks weekly and drinking two to three times per week, on average. The heavy drinkers class (n = 52; 26.7%) reported consuming 42-43 drinks weekly and drinking six to seven days per week. Both groups exhibited a cyclic pattern of drinking whereby weekday drinking was lower, with increases on the weekend; the heavy drinkers class had stronger weekend increases starting earlier. Heavy drinkers reported greater volume, frequency, and problematic drinking behaviors, as compared to the moderate drinkers. The heavy drinkers class also endorsed stronger social motives and perceived their peers to drink more. The present study offered unique insights into nonstudent emerging adult drinking patterns by identifying sub-populations of drinkers based on their past 30-day use. Knowledge gained from this study could aide in tailoring existing alcohol interventions to nonstudents to reduce alcohol-related harms

Identifying Patterns of Situational Antecedents to Heavy Drinking Among College Students

Background- Emerging adults have the highest prevalence of heavy drinking as compared to all other age groups. Given the negative consequences associated with such drinking, additional research efforts focused on at-risk consumption are warranted. The current study sought to identify patterns of situational antecedents to drinking and to examine their associations with drinking motivations, alcohol involvement, and mental health functioning in a sample of heavy drinking college students. Method- Participants were 549 (65.8% women) college student drinkers. Results- Latent profile analysis identified three classes based on likelihood of heavy drinking across eight situational precipitants. The High Situational Endorsement\u27 group reported the greatest likelihood of heavy drinking in most situations assessed. This class experienced the greatest level of alcohol-related harms as compared to the Low Situational Endorsement\u27 and Moderate Situational Endorsement\u27 groups. The Low Situational Endorsement class was characterized by the lowest likelihood of heavy drinking across all situational antecedents and they experienced the fewest alcohol-related harms, relative to the other classes. Class membership was related to drinking motivations with the High Situational Endorsement\u27 class endorsing the highest coping- and conformity-motivated drinking. The High Situational Endorsement\u27 class also reported experiencing more mental health symptoms than other groups. Conclusions- The current study contributed to the larger drinking literature by identifying profiles that may signify a particularly risky drinking style. Findings may help guide intervention work with college heavy drinkers

Alcohol Use Variability in a Community-Based Sample of Nonstudent Emerging Adult Heavy Drinkers

BACKGROUND: While nonstudent emerging adults are at elevated risk for experiencing alcohol-related problems, there remains a paucity of research devoted specifically to addressing drinking in this group. OBJECTIVES: The present study sought to offer unique insights into nonstudent drinking by examining drinking variability across 30 days using a retrospective diary method. Specific aims were to: (1) compare within- and between-person variability in alcohol use across 30 days, and (2) determine the extent to which central social-cognitive between-person factors (i.e., social expectancies, perceived drinking norms, social drinking motivations) predict between-person alcohol use as well as within-person variability in drinking. METHODS: Participants were 195 (65.1% men) nonstudent emerging adults recruited from the community with a mean age of 21.9 (SD = 2.1) years. RESULTS: Findings showed that a substantial portion of variation in daily alcohol consumption was attributable to the within-person (83%) rather than between-person (17.2%) level. Social expectancies, perceived drinking norms, and social motives were found to influence variability in daily alcohol consumption. CONCLUSION: Our findings contribute to knowledge that could guide efforts to design and tailor intervention strategies to minimize the harms experienced by an understudied and at-risk population of drinkers

Differences in Weekday Versus Weekend Drinking Among Nonstudent Emerging Adults

In the current investigation, we sought to examine day-of-the-week drinking of an at-risk sample of nonstudent emerging adults and whether specific factors are associated with differential drinking patterns. Our study aims were to (a) identify differences in weekday versus weekend drinking, and (b) examine specific expectancies (i.e., sociability, tension reduction) and demographic factors (e.g., age, sex) relating to weekend versus weekday drinking after controlling for harmful drinking and holiday drinking. Participants were heavy-drinking noncollege attenders recruited from the community (N = 238; 63.4% men, 35.7% women; M age = 21.92 years). They reported daily drinking for the previous 30 days and completed measures of harmful drinking, alcohol expectancies, and demographic information. Results showed that more drinks were consumed on the weekends (i.e., Thursday to Saturday) than weekdays, with 63% of drinks consumed on weekends. Multilevel modeling analyses indicated that weekday drinking was associated with tension-reduction expectancies, social expectancies, sex, and age. Weekend-drinking increases were related to social expectancies, but not tension-reduction expectancies. Our final model indicated that, after controlling for the effect of holiday drinking, the within-person weekday-weekend distinction explained 18% of the total variance. In general, our findings highlight the importance of alcohol expectancies and drinking contexts in understanding the drinking behaviors of nonstudents. The differential role of tension-reduction and social-facilitation expectancies on drinking throughout the week imply that different cognitive pathways are involved in weekday versus weekend drinking, and both types of expected alcohol effects should be targets of risk-reduction efforts with nonstudent drinkers