Comparing Drinking Patterns in Finland and Ontario (Canada)

2003 ◽  
Vol 30 (3) ◽  
pp. 685-699 ◽  
Author(s):  
John A. Cunningham ◽  
Pia Mäkelä
Keyword(s):  
Alcohol Use ◽  
Binge Drinking ◽  
Heavy Drinking ◽  
Drinking Patterns ◽  
Population Surveys ◽  
The Past ◽  
Males And Females

A comparison is made of drinking patterns in Finland and Ontario (Canada). Respondents in two existing population surveys, the 1996 Joint Nordic Questionnaire and the 1996 Ontario Drug Monitor, were compared on their frequency of alcohol use in the past year, frequency of heavy drinking (6+ on Nordic survey and 5+ in Ontario), and both frequency and typical quantity of beer, wine and liquor consumption in males and females. It appeared that there are fewer nondrinkers and more weekly drinkers in the Finnish sample than in the Ontario sample. Further, both males and females in Ontario consumed 6+ drinks on one occasion more frequently than their Finnish counterparts. However, examination of the patterns of beer, wine and liquor consumption, particularly the distribution of very heavy drinking days (e.g., 12 or more drinks of liquor on one occasion), indicates that there is some evidence for periodic heavy drinking in Finnish males. Contrary to expectations, Canadian and Finnish drinking patterns appeared fairly similar. However, there was some evidence for a higher prevalence of binge drinking by Finnish men as compared with Canadian men.

scholarly journals 3376 Super Bingers: Traits and Patterns Associated with High-Intensity Drinking

2019 ◽  
Vol 3 (s1) ◽  
pp. 154-155
Author(s):  
James Keoni Morris ◽  
Julia E. Swan ◽  
Josh L. Gowin ◽  
Melanie L. Schwandt ◽  
Nancy Diazgranados ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Binge Drinking ◽  
High Intensity ◽  
Heavy Drinking ◽  
Drinking Patterns ◽  
Timeline Followback ◽  
Level 3 ◽  
Males And Females ◽  
Level 1 ◽  
Level 2

OBJECTIVES/SPECIFIC AIMS: This study attempts to evaluate the drinking patterns and traits of individuals who partake in high intensity drinking, defined as binge drinking at 2 or more times the minimum binge count (4 drinks for females, 5 drinks for males). METHODS/STUDY POPULATION: We analyzed data from non-treatment seeking volunteers enrolled in NIAAA screening protocols. The sample included 706 males and 474 females ranging in age from 18 to 91. Subjects were assigned to one of four groups (Non-Binge, Level 1, Level 2, Level 3) based on the highest binge session reported in their Timeline Followback questionnaire. The criteria for each group were different for males and females based on the current NIAAA definitions of binge drinking. The cutoffs for females were 0-3 drinks for Non-Binge, 4-7 drinks for Level 1, 8-11 drinks for Level 2, and 12+ drinks for Level 3. The male drink cutoffs were 0-4, 5-9, 10-14, and 15+ respectively. We looked at various drinking measures (Timeline Followback, Self-Reported Effects of Alcohol (SRE), Alcohol Use Disorders Identification Test (AUDIT)) and trait measures (UPPS-P Impulsivity Scale, Barratt’s Impulsiveness Scale, Buss Perry Aggression Questionnaire) to identify mean differences between groups. RESULTS/ANTICIPATED RESULTS: There were significant differences in drinking patterns between the groups for both males and females. Number of drinking days, average drinks per drinking day, and number of heavy drinking days all increased as binge level increased. There were also significant differences between groups in males for trait measures. Level 2 and Level 3 bingers scored significantly higher on impulsivity and aggression than the Level 1 and Non-Binge groups. Ongoing analyses are examining differences among binge groups on other measures including SRE and AUDIT. Future analyses will explore potential mechanisms underlying the relationships between trait measures and binge drinking using structural equation modeling. DISCUSSION/SIGNIFICANCE OF IMPACT: This study found significant differences between high-intensity drinkers, or “super bingers”, and lighter binge and non-binge drinkers. Super bingers showed an overall heavier drinking pattern across measures. The elevated aggression, impulsivity, and overall heavy drinking patterns of super bingers suggest a behavioral profile that makes this group in particular at higher risk for developing alcohol use disorder and related problems. These traits and behaviors may also help identify targets for treatment interventions for alcohol use disorder.

Reward-Related Attentional Capture Moderates the Association between Fear-Driven Motives and Heavy Drinking

2021 ◽  
pp. 1-11
Author(s):  
Chang Liu ◽  
Murat Yücel ◽  
Chao Suo ◽  
Mike E. Le Pelley ◽  
Jeggan Tiego ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Attentional Capture ◽  
Heavy Drinking ◽  
Drinking Motives ◽  
Drinking Patterns ◽  
Cognitive Mechanisms ◽  
Problematic Drinking ◽  
The Past ◽  
Motivational Profile

Background: To date, there has been little investigation on how motivational and cognitive mechanisms interact to influence problematic drinking behaviours. Towards this aim, the current study examined whether reward-related attentional capture is associated with reward, fear (relief), and habit drinking motives, and further, whether it interacts with these motives in relation to problematic drinking patterns. Methods: Ninety participants (mean age = 34.8 years, SD = 9.1, 54% male) who reported having consumed alcohol in the past month completed an online visual search task that measured reward-related attentional capture as well as the Habit Reward Fear Scale, a measure of drinking motives. Participants also completed measures of psychological distress, impulsivity, compulsive drinking, and consumption items of Alcohol Use Disorders Identification Test. Regression analyses examined the associations between motives for alcohol consumption and reward-related attentional capture, as well as the associations between reward-related attentional capture, motives, and their interaction, with alcohol consumption and problems. Results: Greater reward-related attentional capture was associated with greater reward motives. Further, reward-related attentional capture also interacted with fear motives in relation to alcohol consumption. Follow-up analyses showed that this interaction was driven by greater fear motives being associated with heavier drinking among those with lower reward-related attentional capture (i.e., “goal-trackers”). Conclusion: These findings have implications for understanding how cognition may interact with motives in association with problematic drinking. Specifically, the findings highlight different potential pathways to problematic drinking according to an individual’s cognitive-motivational profile and may inform tailored interventions to target profile-specific mechanisms. Finally, these findings offer support for contemporary models of addiction that view excessive goal-directed behaviour under negative affect as a critical contributor to addictive behaviours.

scholarly journals Toward the prevention of alcohol use disorders: Overdrinking (unintentional binge drinking) in a community sample

2018 ◽  
Vol 5 (2) ◽  
pp. 205510291879270 ◽  
Author(s):  
F Michler Bishop ◽  
Jose Luis Rodriquez Orjuela
Keyword(s):  
United States ◽  
Pilot Study ◽  
Alcohol Use ◽  
Binge Drinking ◽  
Alcohol Use Disorder ◽  
Problem Drinking ◽  
Community Sample ◽  
Alcohol Use Disorders ◽  
The United States ◽  
The Past

Approximately 64,000,000 people in the United States report binge drinking at least once in the past month. Unlike overeating and oversleeping, “overdrinking”—defined as drinking more than a person intends to drink—does not exist in the literature. Terms such as binge and problem drinking do not consider the intent of the drinker. The results of this pilot study suggest that most people drink more than they intend to drink. Moreover, they also report often being surprised that they overdrank. Smartphones may help overdrinkers be less often surprised by overdrinking and may prevent drinkers from developing an alcohol use disorder.

scholarly journals Inclusion of Cannabis Users in Alcohol Research Samples: Screening In, Screening Out, and Implications

2020 ◽  
Vol 55 (4) ◽  
pp. 416-423
Author(s):  
Alexandra Venegas ◽  
Lindsay R Meredith ◽  
Ziva D Cooper ◽  
Brandon Towns ◽  
Lara A Ray
Keyword(s):  
Alcohol Use ◽  
Binge Drinking ◽  
Tobacco Use ◽  
Alcohol Use Disorder ◽  
Cannabis Use ◽  
Clinical Severity ◽  
Treatment Seeking ◽  
Higher Alcohol ◽  
The Past ◽  
Heavy Drinkers

Abstract Background Alcohol and cannabis are frequently co-used, as 20–50% of those who drink alcohol report co-using cannabis. This study is based on the argument that alcohol researchers should enroll cannabis users in human laboratory studies of alcohol use disorder (AUD) to strengthen generalizability. This study examines how heavy drinking cannabis users differ from non-cannabis using heavy drinkers. Methods In a community sample of non-treatment-seeking heavy drinkers (n = 551, 35% female), cannabis users were identified through: (a) self-reported cannabis use in the past 6 months and (b) positive urine toxicology test for tetrahydrocannabinol (THC). Cannabis users, identified as described previously, were compared with non-cannabis users on demographic and clinical characteristics. Results Those who endorsed cannabis use in the past 6 months reported more binge drinking days. Participants who tested positive for THC had higher Alcohol Use Disorder Identification Test scores and more binge drinking days. Younger age and being a tobacco smoker were associated with an increased likelihood of cannabis use in the past 6 months, whereas male gender and being a tobacco use were associated with a greater likelihood of testing positive for THC. Individuals with cannabis use disorder (CUD) endorsed more depression and anxiety and had higher AUD symptom counts than cannabis users without CUD. Conclusions The inclusion of cannabis users in AUD samples allows for increased clinical severity. Excluding cannabis users from AUD studies may limit representativeness and expend unnecessary study resources. Lastly, tobacco use may explain a large portion of the effects of cannabis use on sample characteristics. Short Summary Alcohol and cannabis are frequently co-used substances. In a sample of non-treatment-seeking heavy drinkers (n = 551, 35% female), cannabis users reported higher alcohol use and higher likelihood of tobacco use than non-cannabis users. Including cannabis users in alcohol research studies will improve representativeness and likely increase clinical severity.

Weekly Drinking and Binge Drinking Mediate the Association Between Drinking Location and Sexual Coercion

2019 ◽  
pp. 088626051987923
Author(s):  
Sarah J. Ehlke ◽  
Michelle L. Kelley ◽  
Abby L. Braitman
Keyword(s):  
Alcohol Use ◽  
Binge Drinking ◽  
Sexual Coercion ◽  
Online Survey ◽  
The Past ◽  
Undergraduate Women ◽  
Alcohol Interventions ◽  
Increase Risk ◽  
Drinking Frequency ◽  
Drinking Location

It has been well documented that alcohol use is a risk factor for sexual assault. However, few studies have examined how alcohol use is associated with sexual coercion experiences. Furthermore, off-campus parties and bars are drinking locations where alcohol use is high among college students. It is important to determine other risk factors, such as the drinking location, that may affect alcohol use and sexual coercion. The current study examined whether alcohol use (drinks per week and binge drinking) mediated the association between drinking location frequency (off-campus party and bar/restaurant) and experiencing sexual coercion in the past 30 days. Participants were N = 295 young adult ( Mage = 21.17 years, SD = 2.70) undergraduate women who reported drinking at least once in the past 30 days and completed an online survey. Results revealed that 88 (29.8%) participants experienced sexual coercion in the past 30 days. Participants who experienced sexual coercion in the past 30 days reported greater drinks per week, were more likely to binge drink, and reported drinking more frequently at off-campus parties than those who had not experienced sexual coercion. Drinks per week significantly mediated the relationship between drinking location frequency (off-campus party and bar/restaurant) and sexual coercion. Specifically, more frequent drinking at off-campus parties and bars/restaurants was associated with greater drinks per week, which in turn was related to experiencing sexual coercion in the past 30 days. Binge drinking significantly mediated the association between frequency of drinking at a bar/restaurant and sexual coercion, but not off-campus drinking frequency. Findings suggest that college student alcohol interventions that target harm reduction should consider including information about how the drinking location may intersect with alcohol use to increase risk for sexual coercion.

scholarly journals Alcohol Effects on Globus Pallidus Connectivity: Role of Impulsivity and Binge Drinking

2019 ◽  
Author(s):  
Samantha J. Fede ◽  
Karina P. Abrahao ◽  
Carlos R. Cortes ◽  
Erica N. Grodin ◽  
Melanie L. Schwandt ◽  
...  
Keyword(s):  
Binge Drinking ◽  
Globus Pallidus ◽  
Heavy Drinking ◽  
Neural Mechanism ◽  
Neuronal Firing ◽  
Magnetic Resonance Imaging Scan ◽  
Drinking Patterns ◽  
Alcohol Effects ◽  
Induced Changes

AbstractDespite the harm caused by binge drinking, the neural mechanisms leading to risky and disinhibited intoxication-related behaviors are not well understood. Evidence suggests that the globus pallidus externus (GPe), a substructure within the basal ganglia, participates in inhibitory control processes, as examined in stop-signaling tasks. In fact, studies in rodents have revealed that alcohol can change GPe activity by decreasing neuronal firing rates, suggesting that the GPe may have a central role in explaining impulsive behaviors and failures of inhibition that occur during binge drinking. In this study, twenty-five healthy volunteers underwent intravenous alcohol infusion to achieve a blood alcohol level of 0.08 g/dl, which is equivalent to a binge drinking episode. A resting state functional magnetic resonance imaging scan was collected prior to the infusion and at binge-level exposure. Functional connectivity analysis was used to investigate the association between alcohol-induced changes in GPe connectivity, drinking behaviors, and impulsivity traits. We found that individuals with greater number of drinks or heavy drinking days in the recent past had greater alcohol-induced deficits in GPe connectivity, particularly to the striatum. Our data also indicated an association between impulsivity and alcohol-induced deficits in GPe – frontal/precentral connectivity. Moreover, alcohol induced changes in GPe-amygdala circuitry suggested greater vulnerabilities to stress-related drinking in some individuals. Taken together, these findings suggest that alcohol may interact with impulsive personality traits and drinking patterns to drive alterations in GPe circuitry associated with behavioral inhibition, possibly indicating a neural mechanism by which binge drinking could lead to impulsive behaviors.

scholarly journals Real-Time Mobile Monitoring of Drinking Episodes in Young Adult Heavy Drinkers: Development and Comparative Survey Study

10.2196/13765 ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. e13765 ◽  
Author(s):  
Daniel J Fridberg ◽  
James Faria ◽  
Dingcai Cao ◽  
Andrea C King
Keyword(s):  
Young Adults ◽  
Young Adult ◽  
Alcohol Use ◽  
Binge Drinking ◽  
Real Time ◽  
Real World ◽  
Drinking Behavior ◽  
Heavy Drinking ◽  
Natural Environments

Background Binge drinking, defined as consuming five or more standard alcoholic drinks for men (four for women) within a 2-hour period, is common among young adults and is associated with significant alcohol-related morbidity and mortality. To date, most research on this problem in young adults has relied upon retrospective questionnaires or costly laboratory-based procedures. Smartphone-based ecological momentary assessment (EMA) may address these limitations by allowing researchers to measure alcohol use and related consequences in real time and in drinkers’ natural environments. To date, however, relatively less research has systematically examined the utility of this approach in a sample of young adults targeting real-world heavy drinking episodes specifically. Objective This study aimed to evaluate the feasibility, acceptability, and safety of a smartphone-based EMA method targeting binge drinking and related outcomes in heavy drinking young adults during real-world drinking occasions. Methods Young adult binge drinkers in the smartphone group (N=83; mean 25.4 (SD 2.6) years; 58% (48/83) male; bingeing on 23.2% (6.5/28) days in the past month) completed baseline measures of alcohol use and drinking-related consequences, followed by up to two smartphone-based EMA sessions of typical drinking behavior and related outcomes in their natural environments. They also completed next-day and two-week follow-up surveys further assessing alcohol use and related consequences during the EMA sessions and two weeks after study participation, respectively. A separate demographic- and drinking-matched safety comparison group (N=25) completed the baseline and two-week follow-up surveys but did not complete EMA of real-world drinking behavior. Results Most participants (71%, 59/83) in the smartphone group engaged in binge drinking during at least one 3-hour EMA session, consuming 7.3 (SD 3.0) standard alcoholic drinks. They completed 87.2% (507/581) system-initiated EMA prompts during the real-world drinking episode, supporting the feasibility of this approach. The procedure was acceptable, as evidenced by high participant ratings for overall satisfaction with the EMA software and study procedures and low ratings for intrusiveness of the mobile surveys. Regarding safety, participants endorsed few drinking-related consequences during or after the real-world drinking episode, with no adverse or serious adverse events reported. There were no differences between the groups in terms of changes in drinking behavior or consequences from baseline to two-week follow-up. Conclusions This study provided preliminary support for the feasibility, acceptability, and safety of a smartphone-based EMA of real-time alcohol use and related outcomes in young adult heavy drinkers. The results suggest that young adults can use smartphones to safely monitor drinking even during very heavy drinking episodes. Smartphone-based EMA has strong potential to inform future research on the epidemiology of and intervention for alcohol use disorder by providing researchers with an efficient and inexpensive way to capture large amounts of data on real-world drinking behavior and consequences.

scholarly journals 2263

2017 ◽  
Vol 1 (S1) ◽  
pp. 33-33
Author(s):  
Corbin Daniel Ester ◽  
Bethany Stangl ◽  
Aruna Gogineni ◽  
Lauren Blau ◽  
Vatsalya Vatsalya ◽  
...  
Keyword(s):  
Sex Differences ◽  
Family History ◽  
Alcohol Use ◽  
Heavy Drinking ◽  
Alcohol Expectancies ◽  
Subjective Response ◽  
Drinking Patterns ◽  
Risky Drinking ◽  
Alcohol Sensitivity ◽  
Alcohol Hangover

OBJECTIVES/SPECIFIC AIMS: The current study examined hangover following IV alcohol self-administration (IV-ASA) using the Computer-Assisted Infusion System. The goal of the study was to identify predictors of hangover, including drinking history, alcohol sensitivity, family history, expectancies, and sex differences in nondependent drinkers. METHODS/STUDY POPULATION: The study sample included 89 healthy, nondependent drinkers aged 21–45 years. After a screening to exclude any medical illness or psychiatric disorders, participants completed an IV-ASA session. Each session consisted of a 25-minute priming phase, during which participants were prompted to press a button to receive individually standardized alcohol infusions, followed by a 2-hour “open bar” phase, during which they were instructed to recreate a typical drinking experience. Results from the IV-ASA included peak and average BrAC. Drinking patterns were assessed using the Alcohol Use Disorders Identification Test, which provided 3 subscales: consumption (AUDIT-C), dependence (AUDIT-D), and harmful drinking (AUDIT-H). Subjective response to alcohol was measured using the Drug Effects Questionnaire (DEQ). The Alcohol Hangover Scale (AHS) was used to assess hangover for the period between participants’ departure from the study unit and 10 am the next morning. The Alcohol Effects Questionnaire (AEFQ) is a measure which includes 40 true/false statements about how alcohol typically makes respondents feel, and was used to measure alcohol expectancies. RESULTS/ANTICIPATED RESULTS: Results showed that 78% of participants endorsed having at least 1 hangover symptom following IV-ASA. The most commonly reported items were tired, thirsty, headache, and hangover. There was no association between hangover scores and the AUDIT-C or IV-ASA. Because alcohol consumption was not related to hangover symptoms, risky drinking behavior was examined. Results indicated that participants endorsing 4 or more items on the AUDIT-D plus AUDIT-H subscales showed significantly higher average hangover scores. Linear regression analyses indicated that alcohol hangover scores were associated with DEQ items feel, high, and intoxicated. Ongoing analyses are examining additional predictors of hangover including family history, alcohol expectancies, sex differences, and other alcohol sensitivity measures. DISCUSSION/SIGNIFICANCE OF IMPACT: The results indicated that risky drinking patterns and alcohol response measures were positively associated with hangover symptoms in non-dependent drinks, while no correlation between consumption and hangover symptoms were found. Since previous research has shown than greater subjective response is associated with heavy drinking and predictive of alcohol use disorder, it is possible that hangover symptoms is a marker of this relationship. Since the role of hangover in the transition from heavy drinking to disorder still remains unclear, it will be important to characterize this relationship between alcohol sensitivity and hangover as a function of drinking patterns. This understanding may help to prevent this transition from at-risk drinking to alcohol dependent drinking.

Real-Time Mobile Monitoring of Drinking Episodes in Young Adult Heavy Drinkers: Development and Comparative Survey Study (Preprint)

2019 ◽  
Author(s):  
Daniel J Fridberg ◽  
James Faria ◽  
Dingcai Cao ◽  
Andrea C King
Keyword(s):  
Young Adults ◽  
Young Adult ◽  
Alcohol Use ◽  
Binge Drinking ◽  
Real Time ◽  
Real World ◽  
Drinking Behavior ◽  
Heavy Drinking ◽  
Natural Environments

BACKGROUND Binge drinking, defined as consuming five or more standard alcoholic drinks for men (four for women) within a 2-hour period, is common among young adults and is associated with significant alcohol-related morbidity and mortality. To date, most research on this problem in young adults has relied upon retrospective questionnaires or costly laboratory-based procedures. Smartphone-based ecological momentary assessment (EMA) may address these limitations by allowing researchers to measure alcohol use and related consequences in real time and in drinkers’ natural environments. To date, however, relatively less research has systematically examined the utility of this approach in a sample of young adults targeting real-world heavy drinking episodes specifically. OBJECTIVE This study aimed to evaluate the feasibility, acceptability, and safety of a smartphone-based EMA method targeting binge drinking and related outcomes in heavy drinking young adults during real-world drinking occasions. METHODS Young adult binge drinkers in the smartphone group (N=83; mean 25.4 (SD 2.6) years; 58% (48/83) male; bingeing on 23.2% (6.5/28) days in the past month) completed baseline measures of alcohol use and drinking-related consequences, followed by up to two smartphone-based EMA sessions of typical drinking behavior and related outcomes in their natural environments. They also completed next-day and two-week follow-up surveys further assessing alcohol use and related consequences during the EMA sessions and two weeks after study participation, respectively. A separate demographic- and drinking-matched safety comparison group (N=25) completed the baseline and two-week follow-up surveys but did not complete EMA of real-world drinking behavior. RESULTS Most participants (71%, 59/83) in the smartphone group engaged in binge drinking during at least one 3-hour EMA session, consuming 7.3 (SD 3.0) standard alcoholic drinks. They completed 87.2% (507/581) system-initiated EMA prompts during the real-world drinking episode, supporting the feasibility of this approach. The procedure was acceptable, as evidenced by high participant ratings for overall satisfaction with the EMA software and study procedures and low ratings for intrusiveness of the mobile surveys. Regarding safety, participants endorsed few drinking-related consequences during or after the real-world drinking episode, with no adverse or serious adverse events reported. There were no differences between the groups in terms of changes in drinking behavior or consequences from baseline to two-week follow-up. CONCLUSIONS This study provided preliminary support for the feasibility, acceptability, and safety of a smartphone-based EMA of real-time alcohol use and related outcomes in young adult heavy drinkers. The results suggest that young adults can use smartphones to safely monitor drinking even during very heavy drinking episodes. Smartphone-based EMA has strong potential to inform future research on the epidemiology of and intervention for alcohol use disorder by providing researchers with an efficient and inexpensive way to capture large amounts of data on real-world drinking behavior and consequences.

Patterns of alcohol use 1 year after traumatic brain injury: A population-based, epidemiological study

2005 ◽  
Vol 11 (3) ◽  
pp. 322-330 ◽  
Author(s):  
MICHAEL DAVID HORNER ◽  
PAMELA L. FERGUSON ◽  
ANBESAW W. SELASSIE ◽  
LAWRENCE A. LABBATE ◽  
KATHRYN KNIELE ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
South Carolina ◽  
Brain Injury ◽  
Alcohol Use ◽  
Large Population ◽  
Heavy Drinking ◽  
Population Based ◽  
Drinking Patterns ◽  
Data Set ◽  
Discharge Data

This study delineated patterns of alcohol use 1 year after traumatic brain injury (TBI) in a large, population-based, epidemiological, nonclinical sample, and identified predictors of heavy alcohol use in these individuals. Participants were 1,606 adults identified by review of a South Carolina statewide hospital discharge data set, on the basis of satisfying the Centers for Disease Control case definition of TBI, and were interviewed by telephone 1 year after TBI-related discharge. Alcohol use in the month prior to interview was classified according to categories from the Quantity–Frequency–Variability Index; heavy drinking was defined as nearly daily use with ≥ 5 drinks at least occasionally, or at least three occasions with ≥ 5 drinks. A polychotomous logistic regression with 3 response levels (heavy, moderate, and abstinent/infrequent/light drinking) was used to identify predictors of heavy drinking. Heavy drinking in the month prior to interview was reported by 15.4% of participants, while 14.3% reported moderate drinking and 70.3% reported abstinence or light/infrequent drinking. Risk factors for heavy drinking included male gender, younger age, history of substance abuse prior to TBI, diagnosis of depression since TBI, fair/moderate mental health, and better physical functioning. There was no association between drinking patterns and TBI severity. (JINS, 2005,11, 322–330.)

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