1.Relationships between the Level of Alcohol Consumption and Abnormality in Biomarkers According to Facial Flushing in Korean Male Drinkers.
Seong Gu KIM ; Jong Sung KIM ; Sung Soo KIM ; Jin Gyu JUNG ; Seok Jun YUN ; Eo Chin KIM
Korean Journal of Family Medicine 2013;34(2):123-130
BACKGROUND: This research investigated the association between facial flushing after drinking and alcohol-induced biomarker abnormalities. METHODS: 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. RESULTS: 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. CONCLUSION: The weekly drinking amount required to induce biomarker abnormalities was lower in the flushers than in the non-flushers.
Alcohol Drinking
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Biomarkers
;
Drinking
;
Flushing
;
Humans
;
Male
;
Retrospective Studies
;
ROC Curve
;
Sensitivity and Specificity
;
Transferases
;
Transferrin
2.Effect of Alcohol Consumption on Risk of Hyperhomocysteinemia Based on Alcohol-Related Facial Flushing Response.
Eo Chin KIM ; Jong Sung KIM ; Jin Gyu JUNG ; Sung Soo KIM ; Seok Joon YOON ; Jung Sun RYU
Korean Journal of Family Medicine 2013;34(4):250-257
BACKGROUND: This study examined the relationship between alcohol consumption and hyperhomocysteinemia based on facial flushing caused by drinking. METHODS: Among male patients aged > or = 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. RESULTS: 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< or =, <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). CONCLUSION: 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.
Aged
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Alcohol Drinking
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Body Mass Index
;
Cholesterol
;
Cholesterol, HDL
;
Drinking
;
Flushing
;
gamma-Glutamyltransferase
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Health Promotion
;
Homocysteine
;
Humans
;
Hyperhomocysteinemia
;
Hypertension
;
Lipoproteins
;
Logistic Models
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Male
;
Odds Ratio
;
Risk Factors
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Smoke
;
Smoking
;
Triglycerides
3.The Relationship between Uric Acid and Homocysteine Levels based on Alcohol-related Facial Flushing.
Eo Chin KIM ; Jong Sung KIM ; Won Chul UH ; Soo Young CHOI ; Sun Kyung LEE ; Bog Seon JEONG
Korean Journal of Health Promotion 2015;15(3):91-97
BACKGROUND: This study aimed to determine the correlation between blood uric acid and homocysteine levels, based on alcohol-related facial flushing. METHODS: Among male adults who visited a health examination center of a university hospital located in Daejeon, Korea, for a personal health examination from March 2013 to February 2014, 702 subjects were analyzed including 401 subjects without alcohol-related facial flushing and 301 with facial flushing. Pearson's correlation and stepwise multivariate linear regression analyses were performed between the log homocysteine levels and other variables including uric acid. RESULTS: Uric acid showed a significant positive correlation with log homocysteine (gamma=0.166, P=0.001) (beta=0.176; P=0.001) in the non-flushing group. In contrast, none of the variables showed any significant correlations with log homocysteine in the flushing group. CONCLUSIONS: Alcohol users not exhibiting alcohol-related facial flushing showed a positive correlation between uric acid and homocysteine levels, whereas those without facial flushing showed no such correlation.
Adult
;
Alcohol Drinking
;
Flushing*
;
Homocysteine*
;
Humans
;
Korea
;
Linear Models
;
Male
;
Uric Acid*