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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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The Alcohol Use Disorder Identification Test (AUDIT) has been widely used to identify alcohol use disorder (AUD). This study evaluated the validity of the AUDIT-Korean revised version (AUDIT-KR) for screening AUD according to Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) criteria.
This research was conducted with 443 subjects who visited the Chungnam National University Hospital for a comprehensive medical examination. All subjects completed the demographic questionnaire and AUDIT-KR without assistance. Subjects were divided into two groups according to DSM-5 criteria: an AUD group, which included patients that fit the criteria for AUD (120 males and 21 females), and a non-AUD group, which included 146 males and 156 females that did not meet AUD criteria. The appropriate cut-off values, sensitivity, specificity, and positive and negative predictive values of the AUDIT-KR were evaluated.
The mean±standard deviation AUDIT-KR scores were 10.32±7.48 points in males and 3.23±4.42 points in females. The area under the receiver operating characteristic curve (95% confidence interval, CI) of the AUDIT-KR for identifying AUD was 0.884 (0.840–0.920) in males and 0.962 (0.923–0.985) in females. The optimal cut-off value of the AUDIT-KR was 10 points for males (sensitivity, 81.90%; specificity, 81.33%; positive predictive value, 77.2%; negative predictive value, 85.3%) and 5 points for females (sensitivity, 100.00%; specificity, 88.54%; positive predictive value, 52.6%; negative predictive value, 100.0%).
The AUDIT-KR has high reliability and validity for identifying AUD according to DSM-5 criteria.
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This study aimed to develop a simple tool for identifying alcohol use disorders in female Korean drinkers from previous questionnaires.
This research was conducted on 400 women who consumed at least one alcoholic drink during the past month and visited the health promotion center at Chungnam National University Hospital between June 2013 to May 2014. Drinking habits and alcohol use disorders were assessed by structured interviews using the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition diagnostic criteria. The subjects were also asked to answer the Alcohol Use Disorders Identification Test (AUDIT), AUDIT-Consumption, CAGE (Cut down, Annoyed, Guilty, Eye-opener), TWEAK (Tolerance, Worried, Eye-opener, Amnesia, Kut down), TACE (Tolerance, Annoyed, Cut down, Eye-opener), and NET (Normal drinker, Eye-opener, Tolerance) questionnaires. The area under receiver operating characteristic (AUROC) of each question of the questionnaires on alcohol use disorders was assessed. After combining two questions with the largest AUROC, it was compared to other previous questionnaires.
Among the 400 subjects, 58 (14.5%) were identified as having an alcohol use disorder. Two questions with the largest AUROC were question no. 7 in AUDIT, "How often during the last year have you had a feeling of guilt or remorse after drinking?" and question no. 5 in AUDIT, "How often during the past year have you failed to do what was normally expected from you because of drinking?" with an AUROC (95% confidence interval [CI]) of 0.886 (0.850–0.915) and 0.862 (0.824–0.894), respectively. The AUROC (95% CI) of the combination of the two questions was 0.958 (0.934–0.976) with no significant difference as compared to the existing AUDIT with the largest AUROC.
The above results suggest that the simple tool consisting of questions no. 5 and no. 7 in AUDIT is useful in identifying alcohol use disorders in Korean female drinkers.
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The purpose of this study was to examine the relationship between cardiovascular disease risk and alcohol consumption according to facial flushing after drinking among Korean men.
The subjects were 1,817 Korean men (non-drinker group, 283 men; drinking-related facial flushing group, 662 men; non-flushing group, 872 men) >30 years who had undergone comprehensive health examinations at the health promotion center of a Chungnam National University Hospital between 2007 and 2009. Alcohol consumption and alcohol-related facial flushing were assessed through a questionnaire. Cardiovascular disease risk was investigated based on the 2008 Framingham Heart Study. With the non-drinker group as reference, logistic regression was used to analyze the relationship between weekly alcohol intake and cardiovascular disease risk within 10 years for the flushing and non-flushing groups, with adjustment for confounding factors such as body mass index, diastolic blood pressure, low density lipoprotein cholesterol, triglycerides, and exercise patterns.
Individuals in the non-flushing group with alcohol consumption of ≤4 standard drinks (1 standard drink = 14 g of alcohol) per week had significantly lower moderate or high cardiovascular disease risk than individuals in the nondrinker group (adjusted odds ratio, 0.51; 95% confidence interval, 0.37 to 0.71). However, no significant relationship between the drinking amount and cardiovascular disease risk was observed in the flushing group.
Cardiovascular disease risk is likely lowered by alcohol consumption among non-flushers, and the relationship between the drinking amount and cardiovascular disease risk may differ according to facial flushing after drinking, representing an individual's vulnerability.
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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 research investigated the association between facial flushing after drinking and alcohol-induced biomarker abnormalities.
This retrospective study included 374 male drinkers who visited the department of Family Medicine of Chungnam National University Hospital between January and December of 2010. The participants were classified into two groups: the flushing group (n = 107) and the non-flushing group (n = 267). The biomarkers assessed were % carbohydrate-deficient transferrin (CDT) and gamma glutamyl transferase (rGTP). The upper limits of %CDT and rGTP were set as 2.47 and 50, respectively. The receiver operating characteristic (ROC) curve was used to obtain the cut-off value for the amount of drinking that caused abnormal %CDT and rGTP levels in the two groups. The sensitivity and specificity of the cut-off drinking amount for %CDT and rGTP abnormalities were analyzed in each group.
In the flushing group, the cut-off value for alcohol-induced %CDT abnormality was 3.38 drinks (1 drink: 14 g of alcohol) per week, with sensitivity of 77.8% and specificity of 70.4%. In the non-flushing group, the cut-off value was 11.25 drinks per week, with sensitivity of 62.2% and specificity of 69.6%. The cut-off value for the amount of alcohol that induced rGTP abnormality was 3.38 drinks per week in the flushing group, with sensitivity of 68.0% and specificity of 76.8%, whereas it was 8.75 drinks in the non-flushing group, with sensitivity of 71.1% and specificity of 66.7%. The area under the ROC of the drinking level was 0.726 in the flushing group and 0.684 in the non-flushing group for %CDT. For rGTP, the value was 0.738 in the flushing group and 0.718 in the non-flushing group.
The weekly drinking amount required to induce biomarker abnormalities was lower in the flushers than in the non-flushers.
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This study examined the effects of the method of delivery of brief advice on the readiness to change in at-risk drinkers.
The participants were 103 at-risk male drinkers who visited Chungnam National University Hospital for general health examinations. Baseline data on drinking behavior, readiness to change drinking behavior, and sociodemographic characteristics were obtained from a questionnaire. Family physicians gave two minutes of advice by telephone or in-person. The brief advice comprised a simple statement that the patient's drinking exceeded the recommended limits and could lead to alcohol-related problems. It also included advice to moderate one's drinking. One month later, the readiness to change was assessed again by telephone. The improvement in the readiness to change according to each method of delivery was investigated.
Initially, among the 58-patient in-person advice group, 12 patients were in the precontemplation stage, 38 in the contemplation stage, and 8 in the action stage. One month after the advice was given to the patients, the distribution had changed significantly (P < 0.001) to 1, 21, and 36 patients, respectively. Among the 45-patient telephone advice group, 7 patients were in the precontemplation stage, 32 patients were in the contemplation stage, and 6 patients were in the action stage before the advice. The distribution had changed significantly (P < 0.001) to 1, 17, and 27 patients, respectively, 1 month after the advice.
These results suggest that brief advice by family physicians is effective in improving the readiness to change of at-risk drinkers, regardless of the delivery method.
In Korea, few studies have been performed on screening instruments for the detection of at-risk drinking and alcohol use disorders in the elderly. This study evaluated the validity of three screening instruments in elderly male drinkers.
The subjects were 242 Korean men aged ≥ 65 years. Face-to-face interviews were used to identify at-risk drinking and alcohol use disorders. At-risk drinking was defined according to the criteria for heavy or binge drinking of the National Institute on Alcohol Abuse and Alcoholism. Alcohol use disorder was diagnosed using the criteria of the Diagnostic and Statistical Manual of Mental Disorders IV-text revision. The Alcohol Use Disorder Identification Test (AUDIT), Short Michigan Alcoholism Screening Test-geriatric version (SMAST-G), and cut down, annoyed, guilty, eye-opener (CAGE) questionnaire were used as the alcohol-screening instruments. Based on the diagnostic interview results, sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) of the instruments were compared.
For identification of at-risk drinking, the AUDIT AUROC demonstrated greater diagnostic power than did those of SMAST-G and CAGE (both P < 0.001). In screening for alcohol use disorders, the AUDIT AUROC was also significantly higher than those of SMAST-G and CAGE (both P < 0.001). The sensitivity and specificity of screening for at-risk drinking with an AUDIT score ≥ 7 were 77.3% and 85.1%, respectively, whereas those for the alcohol use disorders with an AUDIT score ≥ 11 were 91.3% and 90.8%, respectively.
The results suggest that the AUDIT is the most effective tool in identifying problem drinkers among elderly male drinkers.
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