The role of person-environment interactions in increased alcohol use in the transition to college

Aims Even among those at risk for problematic alcohol use, there is variability in developmental trajectories of drinking and related problems. This prospective study examined the role of person–environment interactions in increased drinking during the transition to college. Design The authors followed a sample of recent high school graduates to test whether protective environmental factors could delay increases in drinking among those high in trait‐level risk factors. Setting Participants completed web‐based surveys. Participants A sample of 1784 students in the incoming class of 2004 at a large public United States university completed high school and first‐semester‐of‐college assessments. Measurements Participants completed self‐report measures of alcohol use, alcohol‐related problems, perceived awareness and caring from parents and other adults, sensation seeking and impulsivity. Findings In the transition to college, high sensation seekers from more protective high school parental environments increased their alcohol use and problems more than did other students. Increases in alcohol problems were also high among more impulsive students from less protective environments. Whereas high sensation seekers drank equivalently in college regardless of high school‐perceived awareness and caring, those who had greater high school‐perceived awareness and caring did not experience as many alcohol‐related problems in college. Conclusions Differences in drinking trajectories may be a function of person–environment interactions. Risk associated with high sensation seeking may be masked among adolescents in protective environments, but its emergence in the college transition predicts increases in alcohol use and related problems.     

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.     

Energy drink consumption and increased risk for alcohol dependence

Background: Energy drinks are highly caffeinated beverages that are increasingly consumed by young adults. Prior research has established associations between energy drink use and heavier drinking and alcohol‐related problems among college students. This study investigated the extent to which energy drink use might pose additional risk for alcohol dependence over and above that from known risk factors. Methods: Data were collected via personal interview from 1,097 fourth‐year college students sampled from 1 large public university as part of an ongoing longitudinal study. Alcohol dependence was assessed according to DSM‐IV criteria. Results: After adjustment for the sampling design, 51.3%_wt of students were classified as “low‐frequency” energy drink users (1 to 51 days in the past year) and 10.1%_wt as “high‐frequency” users (≥52 days). Typical caffeine consumption varied widely depending on the brand consumed. Compared to the low‐frequency group, high‐frequency users drank alcohol more frequently (141.6 vs. 103.1 days) and in higher quantities (6.15 vs. 4.64 drinks/typical drinking day). High‐frequency users were at significantly greater risk for alcohol dependence relative to both nonusers (AOR = 2.40, 95% CI = 1.27 to 4.56, p = 0.007) and low‐frequency users (AOR = 1.86, 95% CI = 1.10, 3.14, p = 0.020), even after holding constant demographics, typical alcohol consumption, fraternity/sorority involvement, depressive symptoms, parental history of alcohol/drug problems, and childhood conduct problems. Low‐frequency energy drink users did not differ from nonusers on their risk for alcohol dependence. Conclusions: Weekly or daily energy drink consumption is strongly associated with alcohol dependence. Further research is warranted to understand the possible mechanisms underlying this association. College students who frequently consume energy drinks represent an important target population for alcohol prevention.     

Alcohol, Injury, and Risk-Taking Behavior: Data from a National Sample

The association of alcohol consumption and injury is well documented in the literature. It has also been suggested that alcohol consumption is associated with risk-taking behaviors. No studies have reported the association of alcohol consumption and risk-taking behaviors with injury across all injury types, however. Data were collected (1990) from a national probability household sample ( n = 2058; weighted n = 1150) on: injuries that required treatment during the last year; quantity and frequency (Q-F) of drinking; and behaviors associated with risk perception, risk-taking/impulsivity, and sensation seeking. The injured (12% of the sample) were more likely to be male, younger, and to report moderate and heavy drinking and more frequent drunkenness compared with those with no injuries. They were also less likely to score high on risk perception and more likely to score high on risk-taking/impulsivity and sensation seeking than those with no injuries. However, using logistic regression analysis to predict a treated injury during the last year, only the interaction term of gender by Q-F was significant, with Q-F a significant predictor of injury among males but not among females.     

A dose–response perspective on college drinking and related problems

Aims In order to examine the degree to which heavy drinking contributes to risks for problems among college drinkers this paper develops and tests a dose–response model of alcohol use that relates frequencies of drinking specific quantities of alcohol to the incidence of drinking problems. Methods A mathematical model was developed that enabled estimation of dose–response relationships between drinking quantities and drinking problems using self‐report data from 8698 college drinkers across 14 campuses in California, USA. The model assumes that drinking risks are a direct monotone function of the amount consumed per day and additive across drinking days. Drinking problems accumulate across drinking occasions and are the basis for cumulative reports of drinking problems reported by college drinkers. Results Statistical analyses using the model showed that drinking problems were related to every drinking level, but increased fivefold at three drinks and more gradually thereafter. Problems were associated most strongly with occasions on which three drinks were consumed, and more than half of all reported problems were related to occasions on which four or fewer drinks were consumed. There were some important differences in dose–responsiveness between men and women and between different groups of ‘light’, ‘moderate’ and ‘heavier’ drinkers. Conclusion Many problems among college students are associated with drinking relatively small amounts of alcohol (two to four drinks). Programs to reduce college drinking problems should emphasize risks associated with low drinking levels.     

Primary care-based intervention to reduce at-risk drinking in older adults: a randomized controlled trial

Aims To examine whether a multi‐faceted intervention among older at‐risk drinking primary care patients reduced at‐risk drinking and alcohol consumption at 3 and 12 months. Design Randomized controlled trial. Setting Three primary care sites in southern California. Participants Six hundred and thirty‐one adults aged ≥ 55 years who were at‐risk drinkers identified by the Comorbidity Alcohol Risk Evaluation Tool (CARET) were assigned randomly between October 2004 and April 2007 during an office visit to receive a booklet on healthy behaviors or an intervention including a personalized report, booklet on alcohol and aging, drinking diary, advice from the primary care provider and telephone counseling from a health educator at 2, 4 and 8 weeks. Measurements The primary outcome was the proportion of participants meeting at‐risk criteria, and secondary outcomes were number of drinks in past 7 days, heavy drinking (four or more drinks in a day) in the past 7 days and risk score. Findings At 3 months, relative to controls, fewer intervention group participants were at‐risk drinkers [odds ratio (OR) 0.41; 95% confidence interval (CI) 0.22–0.75]; they reported drinking fewer drinks in the past 7 days [rate ratio (RR) 0.79; 95% CI 0.70–0.90], less heavy drinking (OR 0.46; 95% CI 0.22–0.99) and had lower risk scores (RR 0.77 95% CI 0.63–0.94). At 12 months, only the difference in number of drinks remained statistically significant (RR 0.87; 95% CI 0.76–0.99). Conclusions A multi‐faceted intervention among older at‐risk drinkers in primary care does not reduce the proportions of at‐risk or heavy drinkers, but does reduce amount of drinking at 12 months.     

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.     

Alcohol and Self-Rated Health in a Mediterranean Country: The Role of Average Volume, Drinking Pattern, and Alcohol Dependence

Background: The association between average alcohol consumption and self‐rated ill‐health is “J‐shaped” in Scandinavian and Anglo‐Saxon countries, but it has shown an inverse linear relationship in the few studies conducted in Mediterranean countries, based on average volume solely. Objective: To examine the relationship between alcohol and self‐rated health in the general population of a Mediterranean country, by simultaneously taking into account average volume, drinking pattern, and alcohol abuse. Methods: From 2000 to 2005, we conducted telephone interviews on 12,037 persons, representative of the population aged 18 to 64 years in Madrid, Spain. The drinking pattern encompassed binge drinking, beverage preference, and drinking at mealtimes. Alcohol abuse was estimated by the CAGE test. The association between each alcohol‐related variable and self‐rated suboptimal (fair, poor, or very poor) health was estimated from logistic regression, with adjustment for the remaining alcohol‐related variables and other potential confounders. Results: In comparison with never‐drinkers, suboptimal health was less frequent among occasional drinkers [odds ratio (OR) 0.72; 95% confidence interval (CI): 0.61 to 0.86], average moderate drinkers (OR 0.57; 95% CI: 0.48 to 0.69), and excessive drinkers (OR 0.51; 95% CI: 0.36 to 0.72), but more frequent among former drinkers with ≥1 year of abstinence (OR 1.30; 95% CI: 1.03 to 1.64). Frequency of suboptimal health was likewise higher in subjects with ≥3 episodes of binge drinking (OR 1.55; 95% CI: 1.12 to 2.14) or alcohol abuse (OR 1.47; 95% CI: 1.22 to 1.76). No differences were observed in suboptimal health according to beverage preference or drinking at mealtimes. Results in each gender were similar to those for total study participants. Conclusions: Occasional, moderate, and excessive consumption of alcohol are associated with better self‐rated health, even after adjustment for drinking pattern and alcohol abuse. In contrast, former‐drinking, frequent binge drinking, and alcohol abuse are all associated with suboptimal self‐rated health.     

Correlates of Injury Among ED Visits: Effects of Alcohol,Risk Perception,Impulsivity, and Sensation Seeking Behaviors

This cross-sectional study used a random sample of 412 Emergency Department (ED) patients to test the following hypothesizes: 1) injury would be positively associated with problem drinking and recent drinking; 2) impulsivity and sensation seeking would be positively associated with injury, while risk perception would be negatively associated with injury. Results show recent drinking is associated with 2-fold increase in the odds of injury [OR and 95%; CI = 2.34 (1.07–5.10)] while problem drinking and personality factors were unrelated to injury. Other significant predictors were gender and age. Findings suggest a need for alcohol screening for patients who check themselves into the ED due to injury.     

Binge Drinking and Suboptimal Self‐Rated Health Among Adult Drinkers

Background: Binge drinking accounts for more than half of the 79,000 annual deaths in the United States that are owing to excessive drinking. The overall objective of our study was to examine the prevalence of binge drinking and consumption levels associated with suboptimal self‐rated health among the general population of adult drinkers in all 50 states and territories in the United States. Methods: The study included a total of 200,587 current drinkers who participated in the 2008 Behavioral Risk Factor Surveillance System (BRFSS) survey. We estimated the prevalence of binge drinking (i.e., ≥5 drinks on 1 occasion for men or ≥4 drinks on 1 occasion for women) and heavy drinking (i.e., an average of >14 drinks per week for men or >7 drinks per week for women), as well as the average number of binge episodes per person during a 30‐day period. Odds ratios were produced with multivariate logistic regression models using binge‐drinking levels as a predictor; status of suboptimal self‐rated health was used as an outcome variable while controlling for sociodemographic, health, and behavioral risk factors. Results: We estimate that 34.7 million adult drinkers in the United States engaged in binge drinking in 2008, including an estimated 42.2% who reported either heavy drinking or at least 4 binge‐drinking episodes in a 30‐day period. Binge drinking with such levels was associated with a 13–23% increased likelihood of reporting suboptimal self‐rated health, when compared to the nonbinge drinkers. Conclusions: Binge drinking continues to be a serious public health concern. Frequent binge drinkers or binge drinkers who consume alcohol heavily are especially at risk of suboptimal self‐rated health. Our findings underscore the importance of broad‐based implementation in health care settings of screening for and brief interventions to address alcohol misuse, as well as the continuing need to implement effective population‐based prevention strategies to reduce alcohol‐related morbidity and mortality.     

A new measure of binge drinking: prevalence and correlates in a probability sample of undergraduates

BACKGROUND: A standard measure defines binge drinking as the consumption of 5 or more drinks in a row for men (4 or more drinks for women) on at least 1 occasion during the past 2 weeks. A revised operational definition of binge drinking was developed by the National Institute on Alcohol Abuse and Alcoholism in 2004 and incorporated the duration of the drinking episode in addition to the quantity of alcohol consumed. This study compares the standard and new binge measures for overall and subgroup prevalence rates; associations with gender, race/ethnicity, and age of drinking onset; and associations with negative drinking consequences. METHODS: A probability sample of 4,580 randomly selected college students (50.3% female, M age=19.9, SD=2.0) at a large Midwestern university in the United States completed a Web-based survey of alcohol and other drug use. Participants reported on past 2-week binge drinking using the standard measure and past-year binge drinking using the new measure. RESULTS: The longer past-year time frame of the new measure yielded a higher prevalence estimate of binge drinking (63.6%) compared with the 2-week standard measure (53.2%). Approximately 9.9% of those who were classified as binge drinkers using the 2-week standard measure were classified as non-binge drinkers using the new measure specification of a 2-hour duration for the drinking episode. The past-year new binge measure was positively associated with negative drinking consequences even when the 2-week measure was statistically controlled. CONCLUSIONS: Using a longer time frame and incorporating the duration of the drinking episode, the new measure of binge drinking appears to capture an important element of risky alcohol involvement in college students that is not fully assessed by the standard measure.     

A Comparison of Two Single‐Item Screeners for Hazardous Drinking and Alcohol Use Disorder

Background: There is increasing interest in and physician support for the use of single‐item screeners for problem drinking. Methods: In a representative sample of U.S. adults (n = 43,093) and within selected subgroups, past‐year frequency of drinking 5+/4+ drinks and maximum drinks consumed on any day were evaluated as screeners for past‐year alcohol dependence, any alcohol use disorder (AUD), and any AUD or hazardous drinking, using standard measures of screening performance. AUDs were defined according to DSM‐IV criteria. Hazardous drinking was defined as consuming >14 drinks/wk or 5+ drinks on any day for men and >7 drinks/wk or 4+ drinks on any day for women. Results: Optimal cutpoints for both screeners varied across population subgroups, and these variations should be taken into account in order to maximize screening performance. At the optimal cutpoints for the total population, the sensitivity and specificity of maximum drinks were 89% and 82% for dependence at ≥5 drinks, 90% and 79% for any AUD at ≥4 drinks, and 90% and 96% for any AUD or hazardous drinking at ≥4 drinks. Comparable values of sensitivity and specificity for 5+/4+ frequency were 90% and 83% at ≥3 times a year, 87% and 82% at ≥once a year, and 88% and 100% at ≥once a year, respectively. Specificity was lower when only past‐year drinkers were considered. The 5+/4+ frequency screener yielded fairly low sensitivity in predicting alcohol problems among the elderly and among Blacks. Results supported a past‐year reference period for frequency of 5+/4+ drinks and substantiated gender‐ and age‐specific thresholds for defining risk drinking. Conclusions: Both of the single‐item screeners performed nearly on a par with the AUDIT‐C and have potential for use in primary and emergency care settings.     

Age‐Related Changes in Drinking Patterns From Mid‐ to Older Age: Results From the Wisconsin Longitudinal Study

Background: Drinking has generally been shown to decline with age in older adults. However, results vary depending on the measure of alcohol consumption used and the study population. The goals of this study were to (i) describe changes in drinking in a current cohort of older adults using a variety of measures of drinking and (ii) examine a number of different possible predictors of change. Methods: This is a longitudinal study of a community‐based sample surveyed at 2 time points, ages 53 and 64 years. We estimated a series of logistic regressions to predict change and stability in drinking categories of nondrinking, moderate drinking, and heavy drinking. Linear regressions were used to predict change in past‐month drinking days, past‐month average drinks per drinking day, and past‐month total drinks. Results: From age 53 to 64, average drinks per drinking day and heavy drinking decreased. Frequency of drinking increased for men and women, and total drinks per month increased for men. The most consistent predictors of drinking changes were gender, health, and education. Other factors predicted drinking change but were not consistent across drinking measures including: adolescent IQ, income, lifetime history of alcohol‐related problems, religious service attendance, depression, debt, and changes in employment. Conclusions: Heavy drinking decreases with age, but we may see more frequent moderate drinking with current and upcoming cohorts of older adults. Components of quantity and frequency of drinking change differently. Composite measures of total alcohol consumption may not be adequate for describing relevant changes in drinking over time. A number of factors predicted patterns of change in drinking and warrant further exploration.     

Alcohol-attributable injuries in admissions to a swiss emergency room--an analysis of the link between volume of drinking, drinking patterns, and preattendance drinking

BACKGROUND: An association between alcohol consumption and injury is clearly established from volume of drinking, heavy episodic drinking (HED), and consumption before injury. Little is known, however, about how their interaction raises risk of injury and what combination of factors carries the highest risk. This study explores which of 11 specified groups of drinkers (a) are at high risk and (b) contribute most to alcohol-attributable injuries. METHODS: In all, 8,736 patients, of whom 5,077 were injured, admitted to the surgical ward of the emergency department of Lausanne University Hospital between January 1, 2003, and June 30, 2004, were screened for alcohol use. Eleven groups were constructed on the basis of usual patterns of intake and preattendance drinking. Odds ratios (ORs) comparing injured and noninjured were derived, and alcohol-attributable fractions of injuries were calculated from ORs and prevalence of exposure groups. RESULTS: Risk of injury increased with volume of drinking, HED, and preattendance drinking. For both sexes, the highest risk was associated with low intake, HED, and 4 (women), 5 (men), or more drinks before injury. At the same level of preattendance drinking, high-volume drinkers were at lower risk than low-volume drinkers. In women, the group of low-risk non-HED drinkers taking fewer than 4 drinks suffered 47.5% of the alcohol-attributable injuries in contrast to only 20.4% for men. Low-volume male drinkers with HED had more alcohol-attributable injuries than that of low-volume female drinkers with HED (46.9% vs 23.2%). CONCLUSIONS: Although all groups of drinkers are at increased risk of alcohol-related injury, those who usually drink little but on occasion heavily are at particular risk. The lower risk of chronic heavy drinkers may be due to higher tolerance of alcohol. Prevention should thus target heavy-drinking occasions. Low-volume drinking women without HED and with only little preattendance drinking experienced a high proportion of injuries; such women would be well advised to drink very little or to take other special precautions in risky circumstances.     

A meta-analysis of alcohol consumption and the risk of gout

Alcohol consumption had been linked to the risk of gout theoretically, but the results from observational studies were conflicting. Hence, a meta-analysis was conducted to assess the effect of alcohol consumption on the risk of gout. A comprehensive search was performed to identify all eligible studies on the association of alcohol consumption with gout risk. Pooled relative risks (RRs) with 95 % confidence intervals (CIs) from fixed and random effects models were calculated. A total of 12 articles with 17 studies involving 42,924 cases met the inclusion criteria. The pooled RR for highest vs. non/occasional alcohol drinking in every study was 1.98 (95 % CI, 1.52–2.58). The RRs for light (≤1 drink/day), moderate (>1 to <3 drinks/day), and heavy drinking (≥3 drinks/day) vs. non/occasional alcohol drinking were 1.16 (95 % CI, 1.07–1.25), 1.58 (95 % CI, 1.50–1.66), and 2.64 (95 % CI, 2.26–3.09), respectively. The results suggested that alcohol consumption might be associated with increased risk of gout.     

Do College Students Drink More Than They Think? Use of a Free‐Pour Paradigm to Determine How College Students Define Standard Drinks

RATIONALE: Much of what is known about college drinking comes from self-report survey data. Such surveys typically ask students to indicate how many drinks they consume within a given period of time. It is currently unclear whether college students and researchers use similar operational definitions of a single drink. This information is critical given the widespread reliance on survey data for assessing the correlates and consequences of college drinking. OBJECTIVES: This study investigated whether college students define standard drink volumes in a way that is consistent with the operational definitions commonly used by researchers. METHODS: Students (n = 106) were administered an alcohol survey and then asked to perform three tasks. The tasks involved free-pouring fluid into empty cups of different sizes and estimating the volume of a single beer, a shot of liquor, or the amount of liquor in a mixed drink. The volumes poured by students then were compared with standards used in a well-known nationwide survey (i.e., 12 oz of beer and 1.25 oz of liquor in a shot or mixed drink). RESULTS: In every cup size of every task, students overestimated how much fluid they should pour to create a standard drink. In all three tasks, the magnitude of the discrepancy increased with cup size. Collapsed across cup sizes, students overpoured shots by 26%, mixed drinks by 80%, and beer by 25%. When a more liberal serving size of liquor (1.5 oz) was used as the standard, the results of the mixed drink task remained unchanged. However, the volumes poured by students during the shot free-pour task differed from the standard in only one cup size. CONCLUSIONS: The data suggest that college students drink more alcohol than indicated by their survey responses, raising questions about the validity of widely used alcohol surveys. Efforts to educate students about the alcohol content of standard drinks should be enhanced.     

Subdiagnostic alcohol use by depressed men and women seeking outpatient psychiatric services: consumption patterns and motivation to reduce drinking

Background: This study examined alcohol use patterns among men and women with depression seeking outpatient psychiatric treatment, including factors associated with recent heavy episodic drinking and motivation to reduce alcohol consumption. Methods: The sample consisted of 1,183 patients aged 18 and over who completed a self‐administered, computerized intake questionnaire and who scored ≥10 on the Beck Depression Inventory‐II (BDI‐II). Additional measures included current and past alcohol questions based on the Addiction Severity Index, heavy episodic drinking (≥5 drinks on 1 or more occasions in the past year), alcohol‐related problems on the Short Michigan Alcoholism Screening Test (SMAST), and motivation to reduce drinking using the Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES). Results: Among those who consumed any alcohol in the past year (73.9% of the sample), heavy episodic drinking in the past year was reported by 47.5% of men and 32.5% of women. In logistic regression, prior‐year heavy episodic drinking was associated with younger age (p = 0.011), male gender (p = 0.001), and cigarette smoking (p = 0.002). Among patients reporting heavy episodic drinking, motivation to reduce alcohol consumption was associated with older age (p = 0.008), greater usual quantity of alcohol consumed (p < 0.001), and higher SMAST score (p < 0.001). Conclusions: In contrast to prior clinical studies, we examined subdiagnostic alcohol use and related problems among psychiatric outpatients with depression. Patients reporting greater drinking quantities and alcohol‐related problems also express more motivation to reduce drinking, providing intervention opportunities for mental health providers that should not be overlooked.     

Drinking Patterns and Problems and Drinking in the Event: An Analysis of Injury by Cause Among Casualty Patients

The association of alcohol and injury might be expected to vary by the specific cause of injury, but few studies have examined such associations across all causes of injury coming from the same population, largely because of the lack of a sufficient number of cases. This study examines the association of drinking patterns and problems and drinking-in-the-injury-event for six mutually exclusive causes of injury (falls, penetrating trauma, motor vehicle accidents, fires, violence, and other causes) in a merged sample of 3109 patients from four emergency room/trauma center studies that used identical study methodology. The predictive value of drinking and demographic variables are examined separately for each cause of injury, and variables predictive of reporting drinking before the event, feeling drunk at the time of injury, and attributing a causal association of drinking and the injury. Injuries sustained from violence and falls had the greatest association with drinking variables, with those with positive breathalyzer readings, and those who reported drinking before injury, frequent heavy drinking, and frequent drunkenness overrepresented in these two causes. Those who reported a larger number of drinks consumed before injury and those who reported feeling drunk at the time were also overrepresented among those with injuries related to violence and falls. A larger proportion than expected of those who attributed a causal association of drinking with the event sustained injuries related to violence, whereas a smaller proportion sustained injuries from falls. Demographic characteristics were more predictive than drinking characteristics of each cause of injury, whereas drinking characteristics, particularly positive breathalyzer readings, were more predictive of drinking before specific causes of injury. These data provide information that may be useful in developing brief interventions for the prevention of alcohol-related injuries in the emergency room or trauma center setting.     

Interaction of alcohol intake and cofactors on the risk of cirrhosis

Objective: Evaluation of the interaction between alcohol intake and cofactors [hepatitis B virus (HBV), hepatitis C virus (HCV), body mass index] and coffee consumption on the risk of cirrhosis. Design: Seven hundred and forty‐nine consecutive patients with chronic liver disease referring to units for liver or alcohol diseases in Italy during a 6‐months period. Teetotalers were excluded. The odds ratios (OR) for cirrhosis were evaluated using chronic hepatitis cases as the control group. Results: An alcohol intake of more than 3 units/day resulted associated with the likelihood of cirrhosis both in males (OR 4.3; 95% CI=2.5–7.3) and in females (OR 5.7; 95% CI=2.3–14.5). A multiplicative interaction on the risk of cirrhosis between risky alcohol intake and HBsAg or HCV‐Ab/HCV‐RNA positivity was observed. A reduction of cirrhosis risk was observed in subjects consuming more than 3 alcohol units/day with increasing coffee intake. The OR for the association with cirrhosis decreased from 2.3 (95% CI=1.2–4.4) in subjects drinking 0–2 cups of coffee/day to 1.4 (95% CI=0.6–3.6) in those drinking more than 2 cups/day. Conclusions: In subjects with an alcohol intake >3 units/day the coexistence of HBV or HCV multiplies the risk of cirrhosis. Coffee represents a modulator of alcoholic cirrhosis risk.