Drinking Quantities (drinking + quantity)

Distribution by Scientific Domains


Selected Abstracts


A dose,response perspective on college drinking and related problems

ADDICTION, Issue 2 2010
Paul J. Gruenewald
ABSTRACT 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. [source]


Extreme College Drinking and Alcohol-Related Injury Risk

ALCOHOLISM, Issue 9 2009
Marlon P. Mundt
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. [source]


Acute Ethanol Effects on Brain Activation in Low- and High-Level Responders to Alcohol

ALCOHOLISM, Issue 7 2010
Ryan S. Trim
Background:, A low level of response (LR) to alcohol is an important endophenotype associated with an increased risk of alcoholism. However, little is known about how neural functioning may differ between individuals with low and high LRs to alcohol. This study examined whether LR group effects on neural activity varied as a function of acute alcohol consumption. Methods:, A total of 30 matched high- and low-LR pairs (N = 60 healthy young adults) were recruited from the University of California, San Diego, and administered a structured diagnostic interview and laboratory alcohol challenge followed by two functional magnetic resonance imaging (fMRI) sessions under placebo and alcohol conditions, in randomized order. Task performance and blood oxygen level-dependent response contrast to high relative to low working memory load in an event-related visual working memory (VWM) task were examined across 120 fMRI sessions. Results:, Both LR groups performed similarly on the VWM task across conditions. A significant LR group by condition interaction effect was observed in inferior frontal and cingulate regions, such that alcohol attenuated the LR group differences found under placebo (p < 0.05). The LR group by condition effect remained even after controlling for cerebral blood flow, age, and typical drinking quantity. Conclusions:, Alcohol had differential effects on brain activation for low- and high-LR individuals within frontal and cingulate regions. These findings represent an additional step in the search for physiological correlates of a low LR and identify brain regions that may be associated with the low LR response. [source]


The Relationships of the Level of Response to Alcohol and Additional Characteristics to Alcohol Use Disorders Across Adulthood: A Discrete-Time Survival Analysis

ALCOHOLISM, Issue 9 2009
Ryan S. Trim
Background:, A low level of response (LR) to alcohol has been shown to relate to a higher risk for alcohol use disorders (AUDs). However, no previous research has examined the association between LR and the development of AUDs in the context of additional robust risk factors for AUDs. This study evaluated whether LR and other related characteristics predicted the occurrence of AUDs across adulthood using discrete-time survival analysis (DTSA). Methods:, A total of 297 probands from the San Diego Prospective Study reported on the LR to alcohol, a family history (FH) of AUDs, the typical drinking quantity, the age of drinking onset, the body mass index and the age at the baseline (T1) assessment. Alcohol use disorders (AUDs) were evaluated at the 10-year (T10), T15, T20, and T25 follow-ups. Results:, A low LR to alcohol predicted AUD occurrence over the course of adulthood even after controlling for the effects of other robust risk factors. Interaction effects revealed that the impact of FH on AUDs was only observed for subjects with high T1 drinking levels, and probands with high T1 drinking were at high risk for AUDs regardless of their age of onset. Conclusions:, The findings illustrate that LR is a unique risk factor for AUDs across adulthood, and not simply a reflection of a broader range of risk factors. The continued investigation of how LR is related to AUD onset later in life will help inform treatment providers about this high-risk population, and future longitudinal evaluations will utilize DTSA to assess rates of AUD remission as well as the onset of drinking outcomes in adolescent samples. [source]