The distribution of alcohol consumption and the prevention paradox in Brazil

Aims To examine the proportion of self‐reported alcohol consumed by different gender and age groups in Brazil over the past year, and to examine whether the ‘prevention paradox’ applies to Brazilian data on alcohol‐related problems. Design A multi‐stage cluster sample, representative of the Brazilian household population. Setting This study was conducted in Brazil between November 2005 and April 2006. Participants Respondents were aged ≥ 14 years (n = 3007). Measurements Measures included past year estimates of (i) number of standard drinks, (ii) frequency of binge drinking, and (iii) alcohol‐related problems. Findings The survey response rate was 66.4%. The top 2.5% of the drinkers by volume consume 14.9%, the top 5% consume 27.4% and the top 10% consume 44.2% of all alcohol consumed in Brazil. Men consume 77.8% of the total alcohol, and 18–29‐year‐olds consume 40.3%. Individuals below risky drinking guidelines for weekly volumetric intake account for 49–50% of all problem drinkers and 45–47% of all problem types reported. Individuals who do not binge or who binge infrequently (1–3 times/year) account for 50–51% of all problem drinkers and 45–46% of all reported problem types. Most binge drinkers are low‐volume drinkers. Conclusions Consistent with the prevention paradox literature, most drinking problems in Brazil are associated with low or moderate drinking. Binge drinking accounts more clearly for the distribution of alcohol problems than total volume consumed.     

Patterns of Drinking in a Small Development Town in Israel

The two central questions investigated in this study were the extent of alcohol consumption among the adult population in a small development town in Israel and the relationship between heavy drinking (daily drinking) and feelings of distress in four areas of life–economic, social, personal, and health. The findings indicated that the percentage of daily drinkers (8%) in [his population is higher than that found in a national survey of the adult urban Jewish population in Israel (2%). Two ‘deviant’ groups of drinkers were identified–daily drinkers and weekly drinkers (those who reported drinking 2-3 times per week). These two groups drink on non-ritual and non-ceremonial occasions. Daily drinkers frequently drink alone, drink several drinks at a time, and continue to drink without realizing how much. Daily drinkers tended to have strong feelings of powerlessness and a weak sense of coherence, and tended to be socially isolated. Drinking heavily is an infrequent response in the social context of the Israeli development town. No direct relationship was found between amount or kind of distress and extent of alcohol consumption. Those who do drink heavily, however, tend to be suffering from personal and social distress.     

Relative frequency of heavy drinking and the risk of alcohol dependence

Data from a national representative sample of US adults were analyzed to determine the association between the relative frequency of heavy drinking (the proportion of drinking occasions on which 5 + drinks were consumed) and past-year alcohol dependence, adjusting for the influences of average ethanol intake and sociodemographic factors. Fifty-seven percent of current drinkers reported never drinking 5 + drinks, and 21% drank 5 + drinks at least once but on less than 10% of all drinking occasions. Nine percent reported drinking 5 + drinks on at least half of all drinking occasions. Average daily intake was positively correlated with the relative frequency of heavy drinking, and both consumption measures were positively associated with the risk of alcohol dependence. Increases in either relative frequency of heavy drinking or average ethanol intake reduced, but did not eliminate, the effect of the other on the risk of dependence. The excess risk of dependence associated with frequent heavy drinking varied among population subgroups and was increased by age, education, and female gender.     

Drinking Patterns and Myocardial Infarction: A Linear Dose–Response Model

Background: The relation of alcohol intake to cardiovascular health is complex, involving both protective and harmful effects, depending on the amount and pattern of consumption. Interpretation of data available on the nature of these relations is limited by lack of well‐specified, mathematical models relating drinking patterns to alcohol‐related consequences. Here we present such a model and apply it to data on myocardial infarction (MI). Methods: The dose–response model derived assumes: (1) each instance of alcohol use has an effect that either increases or decreases the likelihood of an alcohol‐related consequence, and (2) greater quantities of alcohol consumed on any drinking day add linearly to these increases or decreases in risk. Risk was reduced algebraically to a function of drinking frequency and dosage (volume minus frequency, a measure of the extent to which drinkers have more than 1 drink on days when they drink). In addition to estimating the joint impact of frequency and dosage, the model provides a method for calculating the point at which risk related to alcohol consumption is equal to background risk from other causes. A bootstrapped logistic regression based on the dose–response model was conducted using data from a case‐control study to obtain the predicted probability of MI associated with current drinking patterns, controlling for covariates. Results: MI risk decreased with increasing frequency of drinking, but increased as drinking dosage increased. Rates of increasing MI risk associated with drinking dosage were twice as high among women as they were among men. Relative to controls, lower MI risk was associated with consuming < 4.55 drinks per drinking day for men (95% CI: 2.77 to 7.18) and < 3.08 drinks per drinking day for women (95% CI: 1.35 to 5.16), increasing after these cross‐over points were exceeded. Conclusions: Use of a well‐specified mathematical dose–response model provided precise estimates for the first time of how drinking frequency and dosage each contribute linearly to the overall impact of a given drinking pattern on MI risk in men and women.     

Many college freshmen drink at levels far beyond the binge threshold

BACKGROUND: Binge drinking is a dichotomous variable that allows researchers to sort students into categories based upon a specific threshold of consumption, commonly 4 (females) or 5 (males) drinks. Crossing the binge threshold increases the risk of negative alcohol-related consequences. The use of such thresholds has played a vital role in the study of college drinking. While extremely valuable, the dichotomous nature of binge drinking variables removes information about how heavily students actually drink, leaving the characterization of college drinking incomplete. The present study examined patterns of alcohol use beyond the binge threshold. METHODS: The data set consisted of self-reported 2-week drinking histories from 10,424 first-semester freshmen at 14 schools across the United States during the fall of 2003. The number of students who reached the 4+/5+ binge-drinking threshold was calculated, as was the number who reached 2 times (8+/10+ drinks) or 3 times (12+/15+ drinks) the binge threshold. Logistic regression analyses were used to explore gender differences and to assess whether frequent binge drinkers (3+ binges per 2 weeks) were more likely than infrequent binge drinkers (1-2 binges per 2 weeks) to reach high peak levels of consumption. RESULTS: Roughly 1 of 5 males consumed 10+ drinks and 1 of 10 females consumed 8+ drinks, twice the binge threshold, at least once in the previous 2 weeks. Gender differences were observed at every drinking level and were particularly large at higher peak levels. Frequent binge drinkers were more likely than infrequent binge drinkers to consume 2 or 3 times the binge threshold. DISCUSSION: A surprisingly large percentage of students, particularly males, drink at peak levels well beyond the binge threshold. Such findings suggest that schools might make additional progress in the battle against alcohol misuse by focusing on extreme drinking practices in addition to binge drinking per se.     

Alcohol consumption and problems: the relevance of drinking patterns

BACKGROUND: Data on risks and benefits associated with drinking patterns provide the scientific basis for moderate, low-risk drinking guidelines. Illustrated are methods to investigate and adjust for heterogeneity in relations between three-dimensional drinking patterns and 41 alcohol problems assessed among current regular drinkers in the 1988 National Health Interview Survey. METHODS: Three dimensions of mean drinking patterns, (i.e., usual quantities, heavy drinking rates (days of 5+ drinks/drinking days x 100), and drinking frequencies) were estimated in overlapping subsets of the population reporting each of the 41 problems, and mean usual quantities and heavy drinking rates were plotted against frequencies. Respondents were categorized into drinking problem groups associated with comparable mean drinking patterns; and main and interactive effects of age and sex on drinking patterns were examined by conducting three regression analyses within each group, with quantity, frequency, and heavy drinking rates as dependent variables, respectively. RESULTS: Analyses revealed substantial heterogeneity in relations between drinking patterns and alcohol problems. Respondents having only minor problems drank on average two days a week, usually had 2.6 drinks, and drank heavily 12-13 days a year. Whereas, those having minor and severe problems drank an average of 3.5 days a week, usually had 4.7 drinks, and drank heavily 58 days a year. Within each problem group, usual quantity and frequency were higher among males than females, but the greatest gender differences were seen in heavy-drinking rates. Age-related differences in drinking patterns were striking. Usual quantity and heavy-drinking rates associated with problems decreased with age, whereas drinking frequency increased. CONCLUSIONS: Findings demonstrated the importance of assessing and adjusting for heterogeneity in relations between drinking patterns and alcohol problems when aggregating and interpreting such data, (e.g., when assessing alcohol dependence criteria or evaluating guidelines for moderate drinking), and illustrated new methods for doing so.     

Positive responses to televised beer advertisements associated with drinking and problems reported by 18 to 29-year-olds

Aims. To examine the nature of the relationships between responses to alcohol advertisements and drinking behaviour and related problems. To examine the role of positive and negative beliefs about drinking as intervening variables . Design. Survey utilizing a CATI (computer-assisted telephone interviewing) system, involving interviews with 1012 randomly selected respondents . Setting. Respondents were randomly selected from throughout New Zealand . Participants. Eighteen to twenty-nine-year-old New Zealanders . Measurements. Response to specific alcohol advertisements was measured by recalled exposure (how often they recalled having seen the advertisements) and liking (a measure of positive response) . Findings. An exploratory non-recursive structural equation model, based on 791 drinkers provided tentative support for the hypothesis that positive responses to televised beer advertisements (as measured by liking) contributed to the quantity of alcohol consumed on drinking occasions, which in turn contributed to the level of alcohol-related problems. The model, which provided a good fit to the data, was consistent with the hypothesis that liking of beer advertisements had both a direct influence on quantities of alcohol consumed and an indirect influence, via its influence on positive beliefs. These effects were present after controlling for reciprocal effects, none of which were significant. The data did not support the hypothesis that the quantities of alcohol consumed would influence the respondent's liking of beer advertisements. Recalled exposure was not a significant influence on the quantities consumed . Conclusions. The results are consistent with a number of theoretical perspectives and with a growing body of research that are suggestive of alcohol advertising having some influence on the consumption of younger people.     

Extreme College Drinking and Alcohol-Related Injury Risk

Background: Despite the enormous burden of alcohol‐related injuries, the direct connection between college drinking and physical injury has not been well understood. The goal of this study was to assess the connection between alcohol consumption levels and college alcohol‐related injury risk. Methods: A total of 12,900 college students seeking routine care in 5 college health clinics completed a general Health Screening Survey. Of these, 2,090 students exceeded at‐risk alcohol use levels and participated in a face‐to‐face interview to determine eligibility for a brief alcohol intervention trial. The eligibility interview assessed past 28‐day alcohol use and alcohol‐related injuries in the past 6 months. Risk of alcohol‐related injury was compared across daily drinking quantities and frequencies. Logistic regression analysis and the Bayesian Information Criterion were applied to compute the odds of alcohol‐related injury based on daily drinking totals after adjusting for age, race, site, body weight, and sensation seeking. Results: Male college students in the study were 19% more likely (95% CI: 1.12–1.26) to suffer an alcohol‐related injury with each additional day of consuming 8 or more drinks. Injury risks among males increased marginally with each day of consuming 5 to 7 drinks (odds ratio = 1.03, 95% CI: 0.94–1.13). Female participants were 10% more likely (95% CI: 1.04–1.16) to suffer an alcohol‐related injury with each additional day of drinking 5 or more drinks. Males (OR = 1.69, 95% CI: 1.14–2.50) and females (OR = 1.81, 95% CI: 1.27–2.57) with higher sensation‐seeking scores were more likely to suffer alcohol‐related injuries. Conclusions: College health clinics may want to focus limited alcohol injury prevention resources on students who frequently engage in extreme drinking, defined in this study as 8+M/5+F drinks per day, and score high on sensation‐seeking disposition.     

The Role of the Flushing Response in the Relationship Between Alcohol Consumption and Insulin Resistance

Background: Facial flushing responses to drinking, because of intolerance to alcohol, are observed in some people, especially Asians. This study examined the role of flushing responses in the relationship between alcohol consumption and insulin resistance (IR). Methods: Participants in this cross‐sectional analysis included 624 Korean men (80 nondrinkers, 306 nonflushing drinkers, and 238 flushing drinkers) who were free of cardiovascular disease and diabetes. Data on the flushing response to drinking and alcohol consumption were collected from medical records. IR was estimated using the Homeostasis Model Assessment (HOMA_IR). On the basis of comparisons with nondrinkers, the risk of IR according to the quantity of alcohol consumed per week was analyzed among nonflushers and flushers. Results: After adjusting for age, exercise status, smoking status, BMI, waist circumference, blood pressure, high‐density lipoprotein cholesterol, and triglycerides using a logistic regression model, we found a low risk of IR among nonflushers who consumed ≤4 drinks (1 drink = 14 g of alcohol) per week (OR = 0.3). In contrast, a higher risk of IR was associated with nonflushers who consumed >20 drinks per week (OR = 3.5). On the other hand, only a higher risk of IR was associated with flushers who consumed >12 drinks per week (>12 to 20 drinks: OR = 4.7; >20 drinks: OR = 3.5). Conclusions: The amount of drinking associated with the development of IR in flushers was lower than in nonflushers. Additionally, no positive effect of moderate drinking on IR was observed in flushers. The findings support acetaldehyde‐derived mechanisms in the development of alcohol‐related IR.     

Measuring average alcohol consumption: the impact of including binge drinks in quantity-frequency calculations

AIMS: Average daily alcohol consumption is usually calculated based on self-reports of the quantity (number of drinks consumed per drinking-day) and frequency (number of drinking-days) of alcohol consumption within a given time period. However, this method may underestimate average daily alcohol consumption (and in turn, the prevalence of heavy drinking), because studies demonstrate that respondents do not typically include binge drinking occasions in estimates of their 'usual' or 'average' daily alcohol consumption. DESIGN: We used the Behavioral Risk Factor Surveillance System (BRFSS), an annual random-digit telephone survey of US adults aged 18 years or older, to estimate average daily alcohol consumption using standard quantity-frequency questions, and then recalculated this measure by including self-reports of binge drinking. The proportion of respondents who met a standard, sex-specific definition of heavy drinking based on average daily alcohol consumption was then assessed nationally and for each state. FINDINGS: Compared to standard quantity-frequency methods, including binge drinks in calculations of average daily alcohol consumption increased the relative prevalence of heavy drinking among all adults by 19% to 42% (depending on the method used to estimate the number of drinks per binge). Among binge drinkers, the overall prevalence of heavy drinking increased 53% relative to standard quantity-frequency methods. As a result, half of women binge drinkers and half of binge drinkers aged 55 or older met criteria for heavy drinking. CONCLUSIONS: Including binge drinks (especially the application of age- and sex-specific estimates of binge drinks) in the calculation of average daily alcohol consumption can improve the accuracy of prevalence estimates for heavy drinking among US adults, and should be considered to increase the usefulness of this measure for alcohol surveillance.     

Combined Alcohol and Energy Drink Use: Hedonistic Motives,Adenosine, and Alcohol Dependence

Consumption of alcohol mixed with energy drinks (AmED) has been associated with both short‐ and long‐term risks beyond those observed with alcohol alone. AmED use has been associated with heavy episodic (binge) drinking, risky behaviors, and risk of alcohol dependence. Laboratory research has demonstrated that AmED beverages lead to greater motivation to drink versus the same amount of alcohol consumed alone. However, the reason consumers find AmED beverages particularly appealing has been unclear. A recent report by Droste and colleagues (Alcohol Clin Exp Res 2014; 38:2087–2095) is the first study to investigate motivations related to AmED consumption and to determine which motives predict AmED consumption patterns, experience of drinking‐related harms, and risk of alcohol dependence. The findings of this study significantly enhance our understanding of why AmED consumption is related to the risk of alcohol dependence and change our understanding of why consumers choose AmED beverages. The authors report that hedonistic motives strongly predicted AmED use and the harms associated with use. While intoxication‐reduction motives predicted self‐reported accidents and injuries, these motives did not predict AmED consumption patterns and risk of dependence. The risk of alcohol dependence may arise from repeated experiences when drinking alcohol is more pleasurable when energy drinks are consumed with the alcohol. This commentary will focus on why energy drinks might increase the rewarding properties of alcohol in social drinkers. In addition, discussion is provided explaining why more research on the neurotransmitter, adenosine, may actually inform us about the mechanisms contributing to the development of alcohol dependence.     

Deliberate induction of alcohol tolerance: empirical introduction to a novel health risk

Aims Alcohol tolerance is a hallmark indicator of alcohol dependence. Even so, the allure of peers' admiration for having the ability to drink heavily may lead some adolescents and young adults to practice, or ‘train’, to increase their tolerance (particularly at US colleges, where heavy drinking is highly prevalent and central to the social culture). This is a potential health hazard that has not been documented empirically. Thus, we initiated a study of tolerance ‘training’ and its association to risky and heavy drinking. Design, setting and participants A cross‐sectional online survey of 990 college student life‐time drinkers at a large Midwestern US university. Findings Of the sample, 9.9% (n = 97) reported deliberately ‘training’ to increase tolerance. On average, they reported increasing from approximately seven to 10 US standard drinks in a night prior to ‘training’ to 12–15 drinks at the end of ‘training,’ over approximately 2–3 weeks' duration. Although the proportion of frequent binge drinking among ‘non‐trainers’ (34.4%) was similar to national rates, ‘trainers’ were much more likely to be frequent bingers (76.3%; OR = 6.15). Conclusions A number of students report deliberately inducing alcohol tolerance, probably directly increasing the risk for alcohol poisoning and other acute harms and/or dependence. This phenomenon might additionally be applicable to other populations, and deserves further study and attention as a potential personal and public health risk. Prevention efforts might aim to reduce the perceived importance of heavy‐drinking abilities.     

Pattern of drinking and fatal injury: a population-based follow-up study of Finnish men

AIM: To find out how the frequency of drinking one to two drinks, three to four drinks and five or more drinks of alcohol per drinking occasion predicts injury mortality in 16 years of follow-up among the Finnish 15-69-year-old male population. DESIGN: Three alcohol surveys conducted in 1969, 1976 and 1984 were pooled and linked with mortality information from the national cause of death register. METHOD: Cox proportional hazard models were used for analysing the survival time data. FINDINGS: Drinking at the level of one to two drinks, regardless of frequency, did not elevate the risk of fatal injury, nor did drinking at the level of three to four drinks. Drinking five or more drinks at a time significantly increased the risk of fatal injury in graded relation, compared with those who never drank at that level. The risk was highest for those who drank five or more drinks at a time at least weekly (RR = 5.78, 95% CI = 2.80-11.94), when adjusted for possible confounders. CONCLUSIONS: We found that besides the total volume of consumption, a drinking pattern that involves drinking occasions when consumption exceeds four drinks of alcohol at a time leads to a significant increase in the risk of fatal injury among Finnish men. The risk is highest among those who have the highest annual number of heavy drinking occasions. The finding does not support the hypothesis that alcohol tolerance would lower the risk of fatal injuries among frequent heavy drinkers.     

The Relationship Between Self‐Reported Drinking and BAC Level in Emergency Room Injury Cases: Is it a Straight Line?

Background: While the validity of self‐reported consumption based on blood alcohol concentration (BAC) has been found to be high in emergency room (ER) samples, little research exists on the estimated number of drinks consumed given a BAC level. Such data would be useful in establishing a dose–response relationship between drinking and risk (e.g., of injury) in those studies for which the number of drinks consumed is not available but BAC is. Methods: Several methods were used to estimate the number of drinks consumed in the 6 hours prior to injury based on BAC obtained at the time of ER admission of n = 1,953 patients who self‐reported any drinking 6 hours prior to their injury and who arrived to the ER within 6 hours of the event, from the merged Emergency Room Collaborative Alcohol Analysis Project (ERCAAP) and the World Health Organization Collaborative Study on Alcohol and Injury across 16 countries. Results: The relationship between self‐reported consumption and averaged BAC within each consumption level appeared to be fairly linear up to about 7 drinks and a BAC of approximately 100 mg/dl. Above about 7 reported drinks, BAC appeared to have no relationship with drinking, possibly representing longer consumption periods than only the 6 hours before injury for those reporting higher quantities consumed. Both the volume estimate from the bivariate BAC to self‐report relationship as well as from a Widmark calculation using BAC and time from last drink to arrival to the ER indicated a somewhat weak relationship to actual number of self‐reported drinks. Conclusions: Future studies may benefit from investigating the factors suspected to be driving the weak relationships between these measures, including the actual time over which the reported alcohol was consumed and pattern of drinking over the consumption period.     

Alcohol use in the elderly: beyond the CAGE. Part 1 of 2: prevalence and patterns of problem drinking

It has been estimated that 33% of adults age 65 and older have consumed alcohol during the preceding month; 25% of these drinkers (31% of men, 19% of women) drink daily and approximately 10% drink five drinks on one occasion. Alcohol misuse, with or without dependence, increases an older patient's risks of physical and mental problems. Yet hazardous drinking often is not identified in the elderly because ageism, denial, coexisting disabilities, and the unique pattern of late-onset drinking frequently mask its presence and complicate the diagnosis.     

Risk functions for alcohol-related problems in a 1988 US national sample

To assess the relationship of alcohol use and three types of alcohol-related problems (ICD-10 dependence syndrome, work problems and drunk driving), risk curves were developed for average number of drinks per day during last year (volume) and number of days drinking five or more drinks during one day (5 +). Using data from the I98S National Health Interview Alcohol Supplement, risk curves were derived from data on 22 102 current drinkers who consumed at least 12 drinks in the last year. The emphasis in this analysis was on the proportion of drinkers at lower levels reporting different types of problems. The results indicate that even at lower levels of drinking (volume averaging one or fewer drinks/day) there is considerable risk for drunk driving and less risk for work problems and alcohol dependence. The risk for all types of problems at lower and moderate levels of drinking was significantly higher for respondents who had five or more drinks during one day in the last year. These findings underscore the importance of examining risk (physical and social) at lower levels of drinking and for using both overall volume and heavier quantity per occasion drinking measures when assessing risk for any alcohol-related problem.     

A comparison between brand-specific and traditional alcohol surveillance methods to assess underage drinkers’ reported alcohol use

Background: Adolescent alcohol consumption remains common and is associated with many negative health outcomes. Unfortunately, common alcohol surveillance methods often underestimate consumption. Improved alcohol use measures are needed to characterize the landscape of youth drinking. Objectives: We aimed to compare a standard quantity-frequency measure of youth alcohol consumption to a novel brand-specific measure. Methods: We recruited a sample of 1031 respondents across the United States to complete an online survey. Analyses included 833 male and female underage drinkers ages 13–20. Respondents reported on how many of the past 30 days they consumed alcohol, and the number of drinks consumed on an average drinking day. Using our brand-specific measure, respondents identified which brands they consumed, how many days they consumed each brand, and how many drinks per brand they usually had. Results: Youth reported consuming significantly more alcohol (on average, 11 drinks more per month) when responding to the brand-specific versus the standard measure (p?p?p?Conclusion: This study contributes to the field of alcohol and adolescent research first by investigating a potentially more accurate alcohol surveillance method, and secondly by promoting the assessment of alcohol use among adolescents vulnerable to risky alcohol use. Finally, our survey addresses the potential impact of alcohol marketing on youth and their subsequent alcohol brand preferences and consumption.     

Subjective and objective responses to ethanol in moderate/heavy and light social drinkers

BACKGROUND: Individuals who drink heavily are at an increased risk for adverse consequences of drinking and progression of their drinking habits to abuse or dependence. Therefore, it is important to delineate factors associated with their heavy drinking. METHODS: We examined individual differences in subjective and objective responses to ethanol associated with level of consumption by reanalyzing data from the nine heaviest and nine lightest social drinkers from each of two independently collected subject samples: Holdstock and de Wit (1998) and King et al. (1997). The light drinkers in both samples consumed five or less alcoholic drinks per week, whereas the moderate/heavy drinkers consumed eight or more drinks per week with frequent binge episodes. Acute subjective and objective responses to ethanol (0.6 or 0.8 g/kg) or placebo were compared in the two groups at baseline and during rising and falling blood alcohol concentrations. RESULTS: Moderate/heavy drinkers reported greater stimulant-like and fewer sedative-like and aversive subjective effects after ethanol than did lighter drinkers. These differences occurred in the absence of any group differences in breath alcohol levels, performance effects, or neuroendocrine changes or in overall reports of feeling any drug effects. CONCLUSIONS: These data indicate that habitual moderate/heavy ethanol use was associated with greater stimulant-like effects after an acute dose of alcohol. This finding is consistent with the idea (Newlin and Thomson, 1990, 1999) that individuals who experience greater stimulant-like effects during the ascending limb and lesser sedative-like effects on the descending limb of the blood alcohol concentration curve may be at greater risk for developing ethanol use disorders. Although we cannot determine the causality of this association, sensitivity to the stimulant effects of ethanol may play an important role in the continuation of heavy ethanol use and the increased risk of negative consequences from this use.     

Intra‐ and Interindividual Variability in the Behavioral,Affective, and Perceptual Effects of Alcohol Consumption in a Social Context

Background

We examined the influence of interindividual differences in alcohol use on the intraindividual associations of drinking occurrence with interpersonal behaviors, affect, and perceptions of others during naturally occurring social interactions.

Methods

For 14 consecutive days, 219 psychology freshmen (55% female; M_age = 20.7 years, SD = 2.18) recorded their behaviors, affect, and perceptions in social interactions soon after an interpersonal event occurred. Interpersonal behaviors and perceptions were assessed in terms of dominance–submissiveness and agreeableness–quarrelsomeness. Participants also reported the number of alcoholic drinks consumed within 3 hours of each interaction. We considered the intraindividual associations of (i) having a drinking episode and (ii) the number of drinks during an episode with behaviors, affect, and perceptions and examined interindividual differences in drinking frequency and intensity during social interactions as potential moderators of these associations.

Results

Social drinking frequency and intensity moderated the associations between drinking episode and behaviors, affect, and perceptions in social interactions. During a drinking episode, more frequent social drinkers perceived others as more dominant than less frequent social drinkers. During a drinking episode in which more alcohol was consumed than usual, more frequent social drinkers also reported behaving more dominantly and experiencing less pleasant affect.

Conclusions

As more frequent social drinkers had different interpersonal responses to drinking than less frequent social drinkers, including when they had consumed larger amounts of alcohol than usual, our results suggest a differential susceptibility to the effects of alcohol during naturally occurring social interactions among drinkers with varying drinking frequency.