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The purpose of this study was to examine whether facial flushing after drinking influences the relationship between alcohol consumption and prostatic hyperplasia among Korean men.
The subjects were 957 Korean men (180 non-drinkers, 389 with drinking-related facial flushing, 388 without facial flushing) in the 40–69 age group, who underwent prostate ultrasound at the health promotion center of Chungnam National University Hospital between 2008 and 2014. Alcohol consumption and alcohol-related facial flushing were assessed through a questionnaire. In terms of the amount consumed, 14 g of alcohol was considered a standard drink. With the non-drinker group as reference, logistic regression was used to analyze the relationship between weekly alcohol intake and prostatic hyperplasia in the flushing and non-flushing groups, with adjustment for confounding factors such as age, body mass index, smoking, and exercise patterns.
Individuals aged 50–59 years who experienced drinking-related facial flushing had a significantly lower risk of prostatic hyperplasia than the non-drinker group, depending on alcohol consumption: ≤4 standard drinks (adjusted odds ratio [OR], 0.38; 95% confidence interval [CI], 0.16 to 0.86); >4 ≤8 standard drinks (OR, 0.35; 95% CI, 0.13 to 0.95); >8 standard drinks (OR, 0.33; 95% CI, 0.13 to 0.84). However, no significant relationship was observed between the number of drinks consumed and the risk of prostate hyperplasia in the non-flushing group.
The risk of prostatic hyperplasia appears to be reduced by alcohol consumption among Korean men aged 50–59 years who exhibit drinking-related facial flushing.
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There needs to be an amendment to the Korean version of the Alcohol Use Disorder Identification Test (AUDIT) with regards to the recent change in percent alcohol by volume (ABV) Korean liquor. This study was performed to suggest a cutoff value, reliability and validity of AUDIT-Korean revised version (AUDIT-KR), which reflect the change of the ABV of Korean alcohol.
The subjects were 435 peoples (210 males and 225 females), who visited the Chungnam National University Hospital for a comprehensive medical examination. The respondents completed the AUDIT-KR. At-risk drinking and alcohol use disorders had been evaluated by diagnostic interview. The Cronbach's alpha value, the receiver operating characteristic curve, the appropriate cutoff value, sensitivity and specificity of the AUDIT-KR were evaluated.
There were 190 at-risk drinkers (111 males and 79 females), and 66 people with alcohol use disorders (48 males and 18 females). The cutoff value of the AUDIT-KR for at-risk drinking was 3 points (sensitivity 93.69% and specificity 78.79%) for males and 3 points (sensitivity 92.40% and specificity 78.08%) for females. The cutoff value for alcohol use disorders was 10 points (sensitivity 100.00% and specificity 89.51%) for males and 8 points (sensitivity 100.00% and specificity 93.71%) for females. Cronbach's alpha of the AUDIT-KR was 0.885.
The above results suggest that the AUDIT-KR shows a high reliability and validity in identifying at-risk drinking and alcohol use disorders.
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This study evaluated the utility of the Alcohol Use Disorders Identification Test Alcohol Consumption Questions (AUDIT-C) in screening at-risk drinking and alcohol use disorders among Korean college students.
For the 387 students who visited Chungnam National University student health center, drinking state and alcohol use disorders were assessed through diagnostic interviews. In addition, Alcohol Use Disorders Identification Test (AUDIT), AUDIT-C, and cut down, annoyed, guilty, eye-opener (CAGE) were applied. The utility of the questionnaires for the interview results were compared.
The areas under the receiver operating characteristic curves (AUROCs) of AUDIT-C for screening at-risk drinking were 0.927 in the male and 0.921 in the female participants. The AUROCs of AUDIT and CAGE were 0.906 and 0.643, respectively, in the male, and 0.898 and 0.657, respectively, in the female participants. The optimal screening scores of at-risk drinking in AUDIT-C were ≥6 in the male and ≥4 in the female participants; and in AUDIT and CAGE, ≥8 and ≥1, respectively, in the male, and ≥5 and ≥1 in the female participants. The AUROCs of AUDIT-C in screening alcohol use disorders were 0.902 in the male and 0.939 in the female participants. In the AUDIT and CAGE, the AUROCs were 0.936 and 0.712, respectively, in the male, and 0.960 and 0.844, respectively, in the female participants. The optimal screening scores of alcohol use disorders in AUDIT-C were ≥7 in the male and ≥6 in the female participants; and in AUDIT and CAGE, ≥10 and ≥1, respectively, in the male, and ≥8 and ≥1 in the female participants.
AUDIT-C is considered useful in screening at-risk drinking and alcohol use disorders among college students.
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This study examined the relationship between alcohol consumption and hyperhomocysteinemia based on facial flushing caused by drinking.
Among male patients aged ≥ 18 years who visited Health Promotion Center of Chungnam National University Hospital in Daejeon from January 2008 to December 2010, 948 males (182 nondrinkers, 348 subjects with drinking-related facial flushing, and 418 subjects without drinking-related facial flushing) were selected. After adjusting for confounding factors such as age, body mass index, hypertension, diabetes, smoking, triglycerides, high density lipoprotein cholesterol, and gamma-glutamyl transpeptidase, a multiple logistic regression analysis was performed to assess the risk of hyperhomocysteinemia in the nonfacial flushing and facial flushing groups compared with the nondrinkers.
After adjusting for confounding factors, risk of hyperhomocysteinemia was significantly lower in the group with a weekly alcohol consumption of < 8 standard drinks (1 drink = 14 g alcohol) in the nonfacial flushing group (<4 drinks: odds ratio [OR], 0.27; 95% confidence interval [CI], 0.10 to 0.74; 4≤, <8 drinks: OR, 0.21; 95% CI, 0.06 to 0.73). Risk of hyperhomocysteinemia was significantly lower in the group with a weekly alcohol consumption < 4 drinks in the facial flushing group (OR, 0.30; 95% CI, 0.13 to 0.68).
Our results suggest that the risk of hyperhomocysteinemia is likely lowered by alcohol consumption based on drinking quantity, as lowering the risk of hyperhomocysteinemia differs depending on vulnerability associated with facial flushing.
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