The gastric barostat study is the gold standard method for evaluating gastric perception and accommodation. This technique has serious drawbacks, such as expense and invasiveness. Several drinking tests have been developed as noninvasive methods. Such tests are easily performed without special instruments and are well tolerated. We have reported that (1) a threshold volume inducing mild bloating in the slow nutrient drinking test might be an alternative parameter of gastric accommodation volume as determined by the barostat method and (2) the maximum satiety volume in the drinking test correlated positively with the pressure to induce severe discomfort in healthy volunteers, indicating that the slow nutrient drinking test may be useful for evaluating accommodation volume and the threshold to induce severe discomfort. However, the correlation between the maximum satiety drinking volume and accommodation volume as measured by the barostat study has been controversial. Therefore, validation of a certain nutrient drink test for measuring gastroduodenal function might be recommended in each institution.
Drinking

No abstract available.
Drinking*

No abstract available.
Drinking*

No abstract available.
Drinking Behavior* ; Drinking* ; Humans

OBJECTIVE: Alcohol consumption of university students in Metro Manila was determined and compared to other countries in the region and in the West.
METHODS: A survey of students from ten randomly selected public and private universities in Metro Manila was done.
RESULTS: A total of 2,930 students participated, 46.1% from public schools and 58.9% were female. Of the total students, 81.6% had drank an alcoholic drink in their lifetime; and 15.6% drank beer, 22.5% drank wine and 11.4% drank distilled spirits before they were 13 years old. For the past 30 days, 30.2% drank beer, 30.8% distilled spirit and 18.7% wine; 16.9%, 7.4% and 19.7% binged on beer, wine and distilled spirits, respectively; and 29.1% got drunk. Five percent of the students had drank inside their school. Of those who drove any motorized vehicle, 28.9% drove when they had drank and of those who use prohibited drugs, 66.7% mixed the two. Thirty one percent said they tried to quit drinking in the past 12 months and 7.5% admitted they have a drinking problem.
CONCLUSION: Alcohol consumption of Metro Manila students approximates those of other countries. For policy and monitoring purposes, it is recommended that this survey be done regularly with a nationwide scope and compare this with other countries for best practices.

No abstract available.
Binge Drinking*

PURPOSE: This study is a systematic review and meta-analysis designed to investigate effects of alcohol management programs for Korean university students. METHODS: Research results published until October 14, 2016 were systematically collected in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). A total of 12 papers were selected for the meta-analysis. To estimate the effect size, meta-analysis of the studies was performed with the Comprehensive Meta-Analysis 3.0. RESULTS: The mean effect size of 12 studies in total (Hedges' g=-0.36; 95% Confidence Interval [CI]: -0.76~0.05) was not significant statistically. In a study of college students classified as problematic drinking (total of 9), the drinking program showed a median effect size of Hedges' g=-0.57(95% CI: -0.96~-0.18). Results of the drinking-related outcome variables showed a significant effect size (Hedges' g=-0.61; 95% CI: -1.10~-0.13), but psychosocial related outcome variables were not significant (Hedges' g=-0.50; 95% CI: -1.24~0.23). CONCLUSION: It can be seen that the alcohol management program for college students has a significant effect on controlling the problem drinking of college students. In addition, application of a differentiated drinking program with problem drinkers selected as a risk group will be effective in controlling drinking and drinking related factors.
Alcohol Drinking ; Drinking ; Humans ; Korea

OBJECTIVES: This survey study was conducted to investigate the effect of smoking on drinking alcohol, depression, anxiety and impulsiveness. METHODS: The survey participants were 925 residents over 20 years of age in Gwanak-gu, Seoul. Subjects were divided into smoking and non-smoking groups, and all completed the Korean Version of the Alcohol Use Disorder Identification Test (AUDIT-K), the Beck Depression Inventory (BDI), the Barret Impulsiveness Scale (BIS) and the State-Trait Anxiety Inventory (STAI) to identify patterns of the alcohol consumption and smoking, and to assess levels of depression, anxiety and impulsiveness. RESULTS: The number of subjects with problem drinking was significantly higher in smokers (n=58, 37.2%) than non-smokers (n=81, 11.1%), and there was also a significant difference between smokers and non-smokers on the BDI. However, there were no significant differences between smokers and non-smokers on either the BIS or the STAI. When smokers with problem drinking (Smk_Alc) and smokers without problem drinking (Smk_non-Alc) were compared, the Smk_Alc subjects were found to have higher BDI and trait anxiety scores than the Smk_non-Alc group. CONCLUSION: The results of this study indicate that smoking is closely related to drinking alcohol and suggests that the more frequently people smoke, the more likely they will drink alcohol due to depression and anxiety. It may therefore important for smokers to control depressive mood, anxiety and impulsivity.
Alcohol Drinking ; Anxiety ; Depression ; Drinking ; Drinking Behavior ; Smoke ; Smoking

BACKGROUND: It has been suggested that CDT is a potential biological marker in the Western countries to reflect the degree of past alcohol consumption. This study was performed to compare CDT, AST (aspartate transaminase), ALT (alanine transaminase), and GGT (gamma- glutamyl transferase) as a biological marker reflecting drinking amounts in Korean patients. METHODS: The 25 males with moderate drinking(<14 drinks/week) and 26 males with heavy drinking (>21 drinks/week) were studied for the relationships between their weekly drinking amount and the blood levels of CDT, AST, ALT, and GGT. RESULTS: Only CDT was significantly correlated (P=0.001) with weekly drinking amount among heavy drinkers, while both CDT (P=0.029) and GGT (P=0.000) were significantly correlated in moderate drinkers. Stepwise multiple regression revealed that GGT had R2 of 49.1% in moderate drinkers and CDT had R2 of 38.9% in heavy drinkers for the weekly drinking amount. CONCLUSION: The results described above suggested that CDT can be a potential biological marker for the purpose of quantitative monitoring the drinking behavior of heavy drinkers in Korea.
Alcohol Drinking* ; Biomarkers ; Drinking ; Drinking Behavior ; Humans ; Korea ; Male* ; Transferrin*

PURPOSE: This study was to investigate the relation among social support, drinking and smoking and to identify factors affecting high school students' smoking and drinking behaviors. METHODS: Data were collected from 361 high school students (182 students in 2 preparatory schools and 179 students in 2 vocational high schools) who were selected through convenient sampling. Data were analyzed using SPSS 11.5 for Windows. RESULTS: Factors affecting smoking behavior were drinking(OR=15.86. p<0.01), school type(R=11.82, p<0.01), school record(OR=46.62. p<0.001), pocket money (OR= 10.91. p<0.01) and brother's smoking (OR=9.09. p<0.05). Factors affecting drinking behavior were smoking(OR=8.32. p<0.01), school type(OR=2.53. p<0.01), school record(OR=2.35. p<0.01), pocket money(OR=2.01. p<0.05), father's educational background(OR=2.126. p<0.05), mother's drinking(OR= 1.83. p<0.05) and relationship with teacher (OR=2.44. p<0.01). CONCLUSION: The behaviors of drinking and smoking in high school students were highly correlated with each other. School record, school type, pocket money and family member's behaviors influenced student's behaviors. Further study is required to estimate the effect of drinking and smoking intervention programs according to student's characteristics such as school record, school type, pocket money management, and family members' influence.
Drinking Behavior ; Drinking* ; Humans ; Smoke* ; Smoking*