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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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This study investigated whether there is any difference in drinking amount associated with abnormal expression of gamma-glutamyl transpeptidase (GGT), one of the biological markers of excessive drinking, between flushing and non-flushing women after drinking
The subjects were 797 women aged 20–59 years old who visited health promotion center of Chungnam National University Hospital between January, 2013 and July, 2014. Facial flushing status after drinking, amount of alcohol consumed per drinking episode, and the number of drinking days per week were assessed using a questionnaire. Age, abnormal GGT expression, smoking status, menopauase status, and body mass index (BMI) were obtained from the health screening data. The weekly drinking amount were categorized into <4 drinks; ≥4, <8 drinks; and ≥8 drinks. The association of abnormal GGT expression with weekly drinking amount was analyzed using multivariate logistic regression after controlling for confounding variables including age, smoking status, menopauase status, and BMI.
Compared to nondrinkers, the abnormal GGT expression in the non-flushing group was significantly increased when the weekly drinking amount was ≥4 drinks (≥4, <8 drinks: adjusted odds ratio [aOR], 37.568; 95% confidence interval [CI], 9.793–144.116; ≥8 drinks: aOR, 20.350; 95% CI, 20.350–305.138). On the other hand, the abnormal GGT expression in the flushing group was significantly increased in every weekly drinking amount range (<4 drinks: aOR, 4.120; 95% CI, 1.603–10.585; ≥4, <8 drinks: aOR, 79.206; 95% CI, 24.034–261.031; ≥8 drinks: aOR, 111.342; 95% CI, 30.987–400.079). For each weekly drinking amount range, the flushing group showed significantly higher abnormal GGT expression than the non-flushing group (<4 drinks: aOR, 3.867; 95% CI, 1.786–8.374; ≥4, <8 drinks: aOR, 57.277; 95% CI, 24.430–134.285; ≥8 drinks: aOR, 104.871; 95% CI, 42.945–256.091).
This study showed that abnormal GGT expression in the flushing female drinkers was induced by smaller amounts of alcohol than in the non-flushing 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 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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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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The aim of the present study is to evaluate the risk of metabolic syndrome (MS) according to alcohol consumption for those subjects showing facial flushing, as well as the absence of facial flushing.
One thousand two hundred and one males were recruited in the health promotion center of a university hospital. Evaluation of alcohol consumption and facial flushing was assessed via questionnaires and interviews. The criteria for MS were defined according to the National Cholesterol Education Program Adult Treatment Panel III criteria with a modified waist circumference cutoff value (men ≥ 90 cm) for Korean subjects. Subjects were divided into three groups according to the amount of alcohol they consume: nondrinkers, moderate drinkers (≤14 standard drinks per week), and heavy drinkers (>14 standard drinks per week). They were also separated into two groups according to facial flushing: non-flushers (no occurrence) and flushers (steady occurrence). Factors related to MS were assessed by logistic regression analysis.
In non-flushing moderate drinkers, the risk of MS did not significantly increase compared to non-drinkers. However in flushing moderate drinkers, there was significant increase (odds ratio [OR], 1.81; confidence interval [CI], 1.08 to 3.06) compared to non-drinkers. In non-flushing and flushing heavy drinkers, significant increase (OR, 2.23; CI, 1.23 to 4.04; OR, 2.90; CI, 1.25 to 6.73, respectively) was evident compared to non-drinkers.
Non-flushing moderate drinkers did not show an increased risk of metabolic syndrome compared to the non-drinkers, but flushing moderate drinkers showed an increased risk of metabolic syndrome compared to non-drinkers.
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