scholarly journals Effects of acute alcohol consumption on cardiac excitation, conduction, and repolarization: results from the Munich Beer Related Electrocardiogram Workup Study (MunichBREW)

Author(s):  
Stefan Brunner ◽  
Cathrine Drobesch ◽  
Rebecca Herbel ◽  
Moritz F. Sinner
EP Europace ◽  
2018 ◽  
Vol 20 (suppl_1) ◽  
pp. i16-i16
Author(s):  
M F Sinner ◽  
C Drobesch ◽  
R Herbel ◽  
K Rizas ◽  
S Massberg ◽  
...  

2001 ◽  
Vol 120 (5) ◽  
pp. A117-A117
Author(s):  
K DEAR ◽  
M BRADLEY ◽  
K MCCORMACK ◽  
R PECK ◽  
D GLEESON

2008 ◽  
Vol 7 ◽  
pp. 20-20
Author(s):  
G LEVANTESI ◽  
R MARFISI ◽  
M SCARANO ◽  
M SILLETTA ◽  
A MAGGIONI ◽  
...  

Crisis ◽  
2016 ◽  
Vol 37 (3) ◽  
pp. 232-235 ◽  
Author(s):  
Christopher R. DeCou ◽  
Monica C. Skewes

Abstract. Background: Previous research has demonstrated an association between alcohol-related problems and suicidal ideation (SI). Aims: The present study evaluated, simultaneously, alcohol consequences and symptoms of alcohol dependence as predictors of SI after adjusting for depressive symptoms and alcohol consumption. Method: A sample of 298 Alaskan undergraduates completed survey measures, including the Young Adult Alcohol Consequences Questionnaire, the Short Alcohol Dependence Data Questionnaire, and the Beck Depression Inventory – II. The association between alcohol problems and SI status was evaluated using sequential logistic regression. Results: Symptoms of alcohol dependence (OR = 1.88, p < .05), but not alcohol-related consequences (OR = 1.01, p = .95), emerged as an independent predictor of SI status above and beyond depressive symptoms (OR = 2.39, p < .001) and alcohol consumption (OR = 1.08, p = .39). Conclusion: Alcohol dependence symptoms represented a unique risk for SI relative to alcohol-related consequences and alcohol consumption. Future research should examine the causal mechanism behind the relationship between alcohol dependence and suicidality among university students. Assessing the presence of dependence symptoms may improve the accuracy of identifying students at risk of SI.


Author(s):  
Colleen S. Rand ◽  
Brian A. Lawlor ◽  
John M. Kuldau

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