• Journal of the East Asian Society of Dietary Life
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• v.24 no.6
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• pp.933-942
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• 2014

This study examined drinking status, knowledge regarding drinking, and drinking behaviors between non-risky drinking and risky drinking groups and found out the factors determining risky drinking. Data were collected from 355 college students in Gyeongbuk region by a self-administered questionnaire. T tests, ${\chi}^2$ tests and logistic regression analysis were conducted by SPSS Windows V.20.0. Almost 30% of the respondents were categorized as the risky drinking group. The respondents in the risky drinking group showed greater drinking frequency per month, subjective drinking quantity, frequency of resolution not to drinking per month, and drinking expenditure than the non-risky drinking group. There was no statistically significant difference in the percentage of correct answers for knowledge regarding drinking between non-risky drinking group and risky drinking group. However, the respondents in the risky drinking group showed more undesirable drinking behaviors than the non-risky drinking group. Finally, according to the result of logistic regression analysis of the factors determining risky drinking, monthly allowance, major, circle activity status, drinking frequency per month, drinking motive and drinking behaviors were significant.

• Journal of the Korean Dietetic Association
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• v.22 no.1
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• pp.41-52
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• 2016

This study was performed to investigate the health status and food habits of male college students in Wonju according to drinking behavior. A total of 204 (drinking group: 133, non-drinking group: 71) male college students were recruited and a questionnaire-based survey was conducted. General characteristics, drinking-related factors, health status, and food habits were investigated. Data were analyzed by SPSS program (ver 21.0). The type of residence (P<0.05) and obesity rate (P<0.05) were significantly different by drinking status. Frequency of drinking was 65.2%, and 39.9% of subjects started drinking upon entering college. The motivation to start drinking was 'from necessity'. Reason for drinking was 'Social relations'. The most frequent drinking opportunity in college was 'membership training'. The favorite kind of drink was beer. Health status factor scores for 'concerns about health (P<0.05)', and 'smoking (P<0.05)' were significantly higher in drinking group than those in non-drinking group. Food habits score (drinking group: 50.9 vs non-drinking group: 52.4, P<0.01) was significantly lower in the drinking group. Scores for 'I have breakfast regularly (P<0.05)', 'Do not eat the junk food often (P<0.05)', and 'Do not eat out often (P<0.05)' were significantly lower in the drinking group. 'Drink milk every day' was significantly higher in the drinking group.

• Journal of the Korean Dietetic Association
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• v.24 no.1
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• pp.48-61
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• 2018

This study was conducted to investigate the anthropometric data, serum profiles, food intakes frequency, and nutrient intakes of women aged 30-49 years. The subjects were divided into two groups: drinking group and non-drinking group. For the study, we obtained data for analysis from the combined 2008-2015 Korean National Health and Nutrition Examination Survey (KNHANES). Height and weight were 159.2 cm and 58.1 kg in the drinking group as well as 158.1 cm and 57.7 kg in the non-drinking group, respectively. Obesity percentage in the two groups were 22.5% and 24.8%, respectively. HDL-cholesterol (P<0.001) and Vitamin D (P=0.0248) levels in the drinking group were significantly higher than those of the non-drinking group. In the drinking group, rates of hypertension, myocardial infarction, and diabetes were significantly lower than those of the non-drinking group. Food and nutrient intakes, including energy, water, protein, fat, retinol, thiamin, riboflavin, and niacin, in the drinking group were significantly higher than those of the non-drinking group. In the two groups, energy, water, fiber, calcium, and potassium intakes were low while Na intakes were extremely high considering KDRIs (Dietary Reference Intakes for Koreans). The mean adequacy ratio (MAR) in the two groups was not significant.

• Nutrition Research and Practice
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• v.12 no.2
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• pp.166-172
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• 2018

BACKGROUND/OBJECTIVES: Obesity and alcohol drinking are associated with metabolic syndrome. However, few studies show the relationship between alcohol drinking and metabolic syndrome according to varying degrees of obesity. This study aimed to determine the association between alcohol drinking and metabolic syndrome in obese and non-obese Korean male adults. SUBJECTS/METHODS: This cross-sectional study included 5,867 males aged ${\geq}20$ years who were examined at the Soonchunhyang University health promotion center during June 2008-December 2010. The subjects were divided into non-obese (body mass index [BMI] < $25kg/m^2$) and obese (BMI ${\geq}25kg/m^2$) groups and further divided according to weekly alcohol consumption into nondrinking (0 drinks/week), moderate drinking (${\leq}14$ drinks/week), and heavy drinking (> 14 drinks/week) groups. The subjects were also categorized into binge drinking and non-binge drinking groups. To obtain odds ratios (ORs) for metabolic syndrome, binary logistic regression analysis was performed. RESULTS: The overall metabolic syndrome prevalence was 27.3% (12.8%, non-obese group; 50.4%, obese group). After adjusting for age, physical activity, and smoking, in the non-obese group, the OR for heavy drinking with binge drinking (reference: nondrinking) was 1.56 (95% confidence interval [CI] = 1.12-2.18), with a significant increase in metabolic syndrome prevalence. In the obese group, the OR for heavy drinking with binge drinking was 1.42 (95% CI = 1.07-1.88), showing a significant increase in metabolic syndrome prevalence (P < 0.05). CONCLUSIONS: In both non-obese and obese Korean males, heavy drinking with binge drinking was associated with increased risk of metabolic syndrome. Thus, both non-obese and obese males should restrict their alcohol intake and not indulge in binge drinking.

• Journal of Oriental Neuropsychiatry
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• v.2 no.1
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• pp.94-107
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• 1991

This clinical study was done to investigate how the perticular elements of coffee reflects a person using MMPI (Minesota Multiphasic Personality Inventory) as a guide. This study was done based on the sample groups of 29 coffee-drinking-studensts and 21 non-coffee-drinking students. The results were as follows ; 1. The mean T-scores on all the scales were within normal range in coffee-drinking-group. 2. The personal traits of coffee-drinking-group showed elevated scales of Hs, D, Hy and Pt and showed 3, 1, 2 profile type. 3. Comparing non-coffee-drinking-group with coffee-drinking-group, scales of Hs, D, Hy, Mf, Pt, Ma were significantly higher in the latter. 4. According to pattern analysis, Psycho-neurotic trait was recognized in 62.07% of non-coffee-drinking-group, 76.19% of coffee-drinking-group. As a result, aboves support the exiting hypothesis that coffee give rise to Blood-asthenia(血虛) and Spleen-Lack of transports(脾不運化) and have an influence on neurosis, psychosis and sleep disturbance.

• Korean Journal of Health Education and Promotion
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• v.20 no.1
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• pp.131-145
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• 2003

This study was conducted to estimate the incidence and the degree of cigarette smoking and drinking among working men, and then to investigate the effects on blood pressure, various hematological indices and blood chemistry. The sample consisted of 2,287 male workers who had undertaken a general health check-up during the two-year period from January, 2000 to December, 2001. Such factors as blood pressure, blood glucose, lipid profiles, and liver function tests were determined and then analyzed with respect to the subjects smoking and/or drinking status. The major findings from this study are: 1. The drinking and smoking status have shown that 52.7% of participants were in the habit of both drinking and smoking while 11.6% were not associated with either. On the other hand 25.4% were involved only in drinking and 10.2% only in smoking. In the group smoking over 21 cigarettes per day over 30, the age group occupied the largest proportion at 20.1%. 2. Regarding the relationship between smoking and/or drinking status, and blood pressure, hematology and blood chemistry, the smoking and/or drinking group had significantly higher levels of blood pressure, both systolic and diastolic, Hb & Hct, TG, LDL-C, SGOT, and ${\gamma}$-GTP, than the non-smoking and/or non-drinking group. But HDL-C was significantly lower in the smoking group and significantly higher in the drinking group than the non-smoking/non-drinking group. 3. Regarding amount smoked, a larger number of cigarettes per day was significantly associated with the higher levels of blood pressure, systolic and diatolic, TG, TC, LDL-C, Hb, Hct, and ${\gamma}$-GTP. As for the amount druck, an increasing amount of alcohol intake was associated with rising levels of blood pressure, systolic and diatolic, TG, TC, LDL-C, HDL-C, Hb, SGOT, and ${\gamma}$-GTP. 4. Regarding the correlation among all the variables stated above, the smoking and drinking amount was shown to be in the positive correlation with blood pressure, both systolic and diastolic, TG, TC, Hb, and ${\gamma}$-GTP. On the contrary, LDL-C and HDL-C was in a positive correlation only with the amount drunk amount, and Hct only with the amount smoked. 5. As with systolic and diastolic blood pressure, the odds ratio of the smoking group was 2.35 and 2.58 compared to the non-smoking/drinking group. whereas it was 1.47 and 1.75 in the smoking/drinking group. Concerning serum lipids, the smoking/drinking group had 1.97 times the levels of TG in the non-smoking/non-drinking group, though the smoking group had 1.55 times the levels of HDL-C in the non-smoking/non-drinking group. As with liver function test results, the drinking group had 2.50 times and the smoking/drinking group had 4.41 times the levels of ${\gamma}$-GTP in the non-smoking/drinking group. respectively. The above results revealed that smoking and alcohol intake were effected the results of blood pressure and laboratory tests. Specifically, not only the smoking/drinking group but also those only smoking or only drinking were not as desirable as the non-smoking and non-drinking group to the results of blood pressure and laboratory tests.

• Korean Journal of Community Nutrition
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• v.5 no.2
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• pp.161-171
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• 2000

The purpose of this study was to investigate the effects of smoking and/or alcohol drinking on the nutrient intake, nutritional status, and eating habits of adult males. The subjects were 157 male adults aged 20-49 living in Daejon. Interviews with questionaire on smoking and alcohol drinking habits and eating habits, anthropometric measurement, biochemical blood test, and dietary assessment by one-day 24 hour recall and two-day diet record were carried out. The subjects were divided into four groups : control (non-smoking and non-drinking), drinking only, smoking only, and the both(drinking and smoking). The average numbers of smoked cigarettes were 17.8/d and 19.1/d in the smoking only group and the both group, respectively. The frequency of alcohol drinking was 8.3 times/month and 11.6 times/month in the drinking only group and the both group, respectively. Height was significantly higher(P 0.05) in the drinking only group than in the none and smoking only groups, while the other anthropometric indices were not different among the four groups. There were positive correlations between smoking and drinking or coffee intake. Alcohol drinking increased eating-out frequency and the intakes of energy, protein, dietary fiber, vitamin A, B$_1$,$ B_6,$ Fe and P, while smoking decreased snack frequency and intakes of energy, protein and vitamin $ B_6,$. Blood pressure was not changed in the smoking only and drinking only groups compared to the none group, while systolic blood pressure was elevated in both group(P 0.05). Alcohol drinking significantly elevated(P 0.05) serum total cholesterol and LDL-cholestrol level, while smoking did not change the serum lipid and cholesterol levels. Hemoglobin nd MCHC levels were significantly elevated(P 0.05) by smoking. From these data, it is suggested that both smoking and drinking have influence on some eating habits and nutrient intakes, and especially alcohol drinking can induce hypercholesterolemia.

• Korean Journal of Health Education and Promotion
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• v.6 no.1
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• pp.48-59
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• 1989

The study was designed. to analyse the factors effecting to smoking and drinking of community people in rural area. The study has been surveyed through interviews by trained college students for 1,846 residents who live in rural area(Eup or Myun office is located)for 20days(from 3rd. to 22M. in August, 1988) The summary and conclusions are as follows. 1. The number of answers on the questionaires was 1846. And the percent of man was 55.7 %(woman 44.3 %). Among age group 20-29 years group with 30.4 % was larger than any other group. Anaverage age of answers was 38.6 years. 2.In the period of residence, 21.5 % of the residents lived within 5 years(This group was larger than any other group). In occupations, workers in agriculture and fishing was more than other job occupants. In education, the percent of high school graduates was 44.0 %(higher than any other group) 3.The smoking rate of rural residents was 41.8 %and man's smoking rate was 76.0 % (woman's smoking rate was 7.6 %). These rates were higher than the rates in 1985 (The smoking rate of nation was 32.0 %). First of all, woman's smoking rate increased rapidly 4.As for smoking amount, in male 52.8% of smokers smoked a cigarette case (20 cigarettes) in a day, and 16.9 % of smokers smoked more than one cigarette case. In female 42.5 % of woman smokers smoked a half case in a day and the rate of non-smokers diminished to 77.8 % 5.The rate of non-smokers in 21-29 years group was higher than any other group and a smoking rate increased as an age increased. However, a smoking amount decreased as an age increased. This suggests that people are more concerning about their health as their ages increase.. 6.The smoking rate of college graduates was 58.8 %(higher than any other group) and in a smoking amount 36.4 % of college graduates, 29.8 % of high school graduates smoked more than a cigarette case in a day. This shows that people in a higher education group smoke more than those in other groups. 7.As for non-smoking rate, students, service job workers, company employees, and teachers was 54.1%, 43.4%. 40.1% and 39.5%. respectively. As for smoking rate, workers in agriculture and fishing was the highest level of all job employees. Public officers smoked less than the workers in agriculture and the smoking rate of teachers was less than that of public officers. with regard to smoking amount. above one cigarette case in a day was 39.9 % in public officers, 39.2 % workers in agriculture and fishing, 37.9 % in businessmen, 34.2 % in teachers, 31.9 % in service job employees and 31.6 % in a company employees. 8.The variables which had an effect on smoking were sex (B=.1701), job(B=.1688), education(B=.1671), age(B=.1125). These variables were significant in P＜0.05 statistically. Explanatory variance level was 19% 9.The drinking rate of community residents was 61.8% and man's drinking rate was 81.7%(woman's drinking rate was 38.9%). As drinking rate 18.0%(the highest rate) of man drinkers drank 3 bottles of beer in a general drinking and 12.1% of them drank more than 10 bottles. 12.1% (the highest rate)of woman drinkers drank 2 cups of beer. The rising rate of woman's drinking of alcohol was remarkable. 10.Each non-drinking rate of age groups was 27.6% (in 20-30 years group), 28.0% (in 30-39 years group), 28.9%(in 40-49 years group) and 32,6%(in 50-59 years group), 10,7%(the highest rate) of 20-29 and 30-39 years groups drank above 3 bottles. 7.5% of 20-29 years group and 7.7% of 30-39 years group drank above 10 bottles. In 40-49 years group, 14.4 % of them drank a bottle and 8.1% of them drank above 10 bottles. In 50-59years group, 14,2% of them drank 2 bottles and 5.3 % of them drank above 10 bottles. This shows that a drinking rate decresed as an age increased. 11.Non-drinking rate was higher as an education level was lower. Each non-drinking rate of non-educated group, elementary school group, middle school group and high school group was 41.0 % of high school graduates and 14.5 % of college graduates drank 3 bottles of beer. 9.7 %(the highest rate) of college graduates drank above 10 bottles, in general drinking. 12.Each non-drinking rate of businessmen, farmers, service job workers, and students was 31.3%, 28.2%, 26.8% and 25.9%. However, Each drinking rate of public officers, company employees and teachers was 73.3 %, 72.2 % and 68.4 %. This tells us that the drinking rate of mental workers is higher than that of physical workers. 14.9 % of farmers and 14.4 % of public officers drank 3 bottles at a time. 10.5 % of teachers and 9.9 % of public officers drank above 10 bottles. 13.The variables which affect on drinking were sex(B=.1545), education(B=.1476), job(B=.1064), and age(B=.1052). These variables were significant in the level of 0.05 % and explanatory variance level was 18 %. 14.Government have to educate people and demonstrate the health hazards caused by smoking and over-drinking. Especially, No-smoking campaign for woman and education not to over drink for professional job workers are necessary.

• Korean Journal of Health Education and Promotion
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• v.30 no.1
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• pp.83-93
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• 2013

Objectives: The objective of this study was to assess the gender differences in the relationship between alcohol use behaviors and the risk of metabolic syndrome among Korean adult population. Methods: Data from the Korean National Health and Nutrition Examination Survey (5th, 2010) was analyzed. Using the Alcohol Use Disorders Identification Test, subjects were classified into 4 groups including non-drinking, low-risk drinking, medium-level alcohol problem, and high-level alcohol problem group. Metabolic syndrome and its components were compared among the alcohol behavior groups by gender. Results: The odds ratio vs. non-drinking group for metabolic syndrome was significantly higher in male medium and high-level alcohol problem group. In female, high-level alcohol problem group showed significantly higher odds ratio for metabolic syndrome. Blood pressure and HDL-cholesterol were likely to be higher with the excessive drinking behaviors in both men and woman. Triglyceride level in men was significantly higher in the medium and high-level alcohol problem group than non-drinking group. Although fasting glucose level did not show differences among drinking groups, the odd ratios vs. non-drinking group for the hyperglycemia (${\geq}$ 100mg/dl) were significantly higher in female drinking groups. Conclusions: Problematic alcohol drinking is likely to increase the risk of metabolic syndrome in Korean adults.

• Biomedical Science Letters
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• v.29 no.3
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• pp.159-167
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• 2023

The prevalence of diabetes continues to increase worldwide, and the problem is also important in Korea, and about 14% of Korean adults have diabetes. Alcohol consumptions are increasing rapidly around the world and are recognized as one of the major problems in the country. Alcohol consumption is an environmental factor previously known to be associated with the risk of developing diabetes. Alcohol consumption can cause problems in the endocrine system and gastrointestinal function, and oxidative stress of acetaldehyde, an ethanol metabolite, can damage beta cells in the pancreas. In the present study, we found the effect of alcohol intake on fasting blood sugar and the difference between men and women in the risk of diabetes according to alcohol intake. In men, the high-drinking group had a higher risk of diabetes than the non-drinking group (OR, 1.41; P=0.058). In women, the Moderate-drinking group had a lower risk of diabetes compared to the non-drinking group (OR, 0.42; P=0.039). The high-drinking group had a higher risk of diabetes than the non-drinking group (OR, 2.97; P=0.034). The group that consumed more than the WHO's daily alcohol intake risk standard tended to have a higher risk of diabetes than the group that did not (OR, 5.48; P=0.001). This study suggest that moderate alcohol consumption reduce the risk of developing diabetes, and high alcohol consumption increase the risk of developing diabetes.