Objective: Drinking drive is a nationally recognized social problem. This research aimed to describe the relationship between drinking behavior and drinking drive based on the social demographic characteristics. Methods: This paper used secondary data for analyses which was derived from the national representative samples of adults; National Health and Nutrition Surveys by Korea Institute for Health and Social Affairs in 1998 and 2001. For data analyses, univariate analysis, Chi-square test and logistic regression analysis were adopted for the samples of male adults who were driving and 20 years old and more. Results: The prevalence of drinking drive varied significantly among socio-demographic characteristics. The year prevalence rates of drinking drive were 29.1% in 1998 and 16.4% in 2001. In the rates of drinking drive, males were higher than those of females in both years. By age, twenties to thirties showed the highest ratio of drinking drive(odd ratio=18.8), compared with the sixties. Related to the occupation, the persons who were engaging in farming and fishery showed the highest ratio(odd ratio=3.73) of drinking drive in comparison to the unemployed. Conclusions: People who drink alcohol frequently tended to have more experiences of drinking drive. In addition, the drivers who drink more amount of alcohol drinking were significantly associated with higher rates of drinking drive, as well. Strategy based on the socio-demographic characteristics may provide a promising prevention of reducing drinking drive. Community-based efforts, education, self-awareness and public-awareness to address drinking and drinking drive problems are effective in reducing drinking drive. Enacting comprehensive regulations which control drinking drive can reduce both alcohol use and drinking drive.
The purpose of this study was to identify relationships among peer pressure, parental supervision, alcohol expectancy and adolescent drinking behaviors between year 2001 and 2006. Three hundred high school students were given questionnaires each year on their drinking behavior. Findings of this study were; first, a adolescent drinking and the amount drinking has increased during the years. adolescent drinker ratio as adolescent drinkers were 91.3% in 2006 compared to 75.9% in 2001. The average drinking amounts were 40.82 units in 2006 and 24.9 units in 2001. Second, differences were found in adolescent drinking behaviors such as the amount of alcohol consumption, drinking frequency, & problem drinker ratio by gender, and grade. Male students over female students. Third, peer pressure, parental supervision, alcohol expectancy showed significant impacts on adolescent drinking behaviors through 2001 and 2006. Students who lack parental supervision with much higher drinking-related peer pressure along with a higher level of positive alcohol expectancy were observed to be heavy drinkers and problem drinkers. Especially, students who showed belief in alcohol's tension-relieving function and sociability function tended to over-drink, drink more frequently and as a result, experienced more drinking problems. Intervention strategies were discussed.
Alcohol has as much effect on our lives as the different taste for foods that people have all of the world. Recently, the interest about drinking habits has increased with the rise in health problems for college students with poor health related behavior. The purpose of this study was to evaluate alcohol consumption, smoking and eating behavior of college students in the Kyungsan area. This survey was administered through questionnaires, and the subjects were 177 male and 189 female college students. The self-administered questionnaire was composed of questions concerning social-demographic factors, general characteristics, cigarette smoking, alcohol consumption and eating behavior. The data were analyzed by $\chi$$^2$-test and t-test. According to the survey results, almost of all of the survey subjects drank alcohol. The mean alcohol consumption level per day for male students (33.9${\pm}$29.7g) were significantly higher than for the female students (18.5${\pm}$16.5g), and more than 39.6% of the subjects drank alcohol 1-3 days a week. Alcohol consumption changed the students eating habits. Most students had dietary problems such as fast eating, skipping meal and spending too much money on fast food. The survey about eating behavior of the students showed the male students had more problems when compared with female students. Alcohol consumption levels and alcohol dependence showed a significant positive correlation with smoking cigarettes (r=0.386, p<0.001). The correlation coefficient between alcohol consumption and eating behavior was negatively correlated with skipping meals (r=-0.121, p<0.001). However, there were significant and positive correlations with overeating when students were depressed (r=0.130, p<0.05), with eating meals when watching TV or videos (r=0.085) and with spending money on fast food(r=0.235, p<0.235). The results indicate that health related behaviors of college students in the present study were fairly good. More attention should be given to college students and their habits of skipping meal, alcohol drinking and smoking, and the fairly good students can act as a model for correct dietary behavior so as to improve overall student health.
Lifestyle and dietary behavior intervention as the primary prevention of lipid disorder seems safe and compatible with other treatments of cardiovascular diseases. Cross-sectional associations between lifestyle factors and dietary behavioral factors with plasma lipid and lipoprotein levels were analyzed in 189 middle-aged men in Suwon, Korea. Overnight fasting plasma levels of total cholesterol, high-density lipoprotein(HDL)-cholesterol, triacylglycerol and glucose were analyzed. Blood pressure and anthropometric data were also measured. Lifestyle factors such as smoking status, alcohol consumption and frequency of physical exercise were evaluated by a self-administered questionnaire. Questions regarding dietary behavior were also asked. The subjects were 43.8%${\pm}$7.9 years old, and 23.8%${\pm}$2.6kg/m$^2$. From stepwise regression analyses, significant correlates with total cholesterol level were body mass index(BMI), alcohol intake(negative), age and coffee drinking(model R$^2$=14.3%). BMI, breakfast-skipping, age, and sleeping hours were significant for triacylglycerol level(model R$^2$=15.8%). BMI, alcohol drinking(negative), age, and coffee drinking were significant for low-density lipoprotein(LDL)(model R$^2$=11.7%). Age(negative), BMI(negative), alcohol drinking, stress level(negative), physical exercise, and cigarette smoking(negative) were significant for high-density lipoprotein(HDL)(model R$^2$=12.1%). From stepwise regression analyses, excluding BMI and age as factors in the model, alcohol intake(negative) and coffee drinking were significantly correlated with total cholesterol level(model R$^2$=4.4%) : breakfast-skipping with triacylglycerol(model R$^2$=3.2%) : alcohol intake (negative) with LDL level(model R$^2$=3.4%) : alcohol intake, physical exercise and stress level(negative) with HDL level(model R$^2$=6.3%). The findings suggest that a healthy daily lifestyle and dietary behavior may have an anti-atherogenic effect by altering plasma lipid and lipoprotein levels in middle-aged Korean men. (J Community Nutrition 2(2) : 119∼128, 2000)
Objectives: This is to review drinking behavior and policies to reduce harms caused by alcohol use in Korea and to discuss their implications from a health promotion perspective. Methods: A purported selection was made to include extant literature on drinking behaviors and alcohol control policies into this review. For drinking behaviors reports of national health statistics were used while reports of alcohol control policies submitted to public institutes/organizations were selected for review. Results: Alcohol consumption per capita indicates stable trends over the last two decades. However, percentages of drinkers with high risk drinking over time vary; men remains stable while female appears to increase. Relatively, a few data and/or reports were available about harms derived from alcohol use. Although there are alcohol policies being cost-effective to deal with alcohol related harm in Western society, few alcohol policy available in Korea of being effective, cost-effective with respect to reduction of harms associated with alcohol use. Conclusions: Policy emphasis should be shift from drinkers to availability of alcohol to reduce alcohol related harms with taking health in all policies into consideration. Both statutory mechanism and public acceptance should be of high priority in putting recommended alcohol policy into action.
Objectives: The aim of this study was to verify relationships between light- and heavy alcohol drinking and health-risk behaviors such as smoking, inappropriate weight control, physical inactivity, and sexual activity among adolescents. Methods: The data of 68,043 adolescents in middle- and high school collected from the Korea Youth Risk Behavior Web-based Survey in 2015 were analyzed. For statistical analysis, logistic regression model was used. Results: The rate of heavy alcohol drinking increased with increasing age up to 21.5% among boys and 13.9% among girls. Among boys, heavy alcohol drinkers were at a higher risk of smoking (adjusted odds ratios [OR]=3.3, 95% confidence interval [CI]=2.8-3.8), inappropriate weight control (OR=1.7; 95% CI=1.4-2.1), having sexual intercourse (OR=3.6; 95% CI=3.0-4.2) than light drinkers. Multiple health-risk behaviors of smoking, inappropriate weight control and sexual intercourse also increased in accordance with the severity of drinking alcohol beverage compared to non-drinker. Physical inactivity was decreased among heavy drinkers compared to light drinkers (OR=0.8; 95% CI=0.7-0.9 for inactivity of moderate exercise). Similar results were observed among girls. Conclusions: Alcohol drinking especially heavy alcohol drinking among adolescents is related to other risky behaviors including smoking, inappropriate weight control, and sexual activity. To prevent health problems in adolescents, it is necessary to adopt a combined approach regarding heavy drinking and health-risk behaviors.
The Journal of Korean Society for School & Community Health Education
/
v.17
no.3
/
pp.1-10
/
2016
Objectives: The purpose of this study was to verify correlation between social support & psychosocial stress and drinking behavior after consuming alcohol among college students. Methods: This study surveyed by questionnaire 440 students who consumed alcohol regularly from 36 colleges around the country in 2014. Data were analyzed using the program SPSS 21. Results: The effects of social support on problem behavior after drinking and psychosocial stress had significant influence with each path coefficient -0.178(CR= -3.408, p<0.001) and -0.294(CR= -6.195, p<0.001). Also, the effects of psychosocial stress on problem behavior after drinking had significant influence with path coefficient -0.141(CR= -2.858, p<0.05). Social support had significant influence(p<0.001) on problem behavior after drinking through psychosocial stress, serving as a mediator variable, and social support had significant influence on problem behavior after drinking through psychosocial stress. Conclusions: Problem behavior after consuming alcohol held strong relevance in social support and psychosocial stress.
Purpose: The purpose was to investigate the factors influencing the alcohol consumption behavior of adolescents to provide basic data for a nursing intervention program to improve health management and prohibit alcohol consumption. Method: The subjects were 306 university students, living in K city in Chungnam province from April 1 to 20th, 2002. The instruments used were the alcohol consumption behavior scale, that is the drinking intensity score, and developed by Shin(1998)'s scale of drinking problem, refusal self-efficacy scale by Aas et. al.(1995), alcohol expectancy by Goldman et. al. (1989), TPQ scale by Cloninger(1991), depression scale by Zung(1974), family cohesion scale by Olson et. al. (1983). The data were analyzed using descriptive statistics, Pearson correlation coefficient, t-test, ANOVA, and stepwise multiple regression by using SPSS & SAS program. Results: The multiple regression analysis revealed that the most powerful predictor of alcohol consumption behavior was the influence of friends (drinking everyday) (17.0%). A combination of alcohol expectancy (8.0%), influence of friends (4.0%), father's influence (2.0%), depression(2.0%), refusal self-efficacy (1.0%), personality of harm avoidance(1.0%), and monthly pocket money (2.0%) accounted for 38.6% of the variance in alcohol consumption behavior. Conclusion: From the results, we recommend to use the database that develops nursing intervention program for decreasing the alcohol consumption behavior including the influencing factors in university students.
The Journal of Korean Society for School & Community Health Education
/
v.19
no.2
/
pp.87-98
/
2018
Objectives: The purpose of this study is to compare alcohol drinking behaviors between living alone and living together women in Korea. Methods: 6~7th National Heath and Nutrition Examination Survey(2013~2016) data were analyzed using SPSS statistics complex samples. 9,373 Korean Women, aged 19-65 years were included in this study. Among them, 560 participants(5.1%) was living alone women and analyzed between characteristics of drinking behaviors of living alone and living together women. Results: Adjusted confounding variables were analyzed and the risk of light drinking behavior was not significant between the groups. However the group of living alone women showed in higher risk of binge drinking(OR=1.57, 95%CI=1.19-2.07) than those of living together women. Conclusions: Living alone women were associated with binge drinking behaviors compared to living together women. Thus, living alone women are needed to concern on social behaviors including alcohol drinking.
Purpose: The purpose of this study was to identify the effect of self-efficacy promoting reducing alcohol program on drinking related knowledge, drinking refusal self-efficacy, drinking outcome expectancy and problematic drinking behavior of women college students over 8 scores of AUDIT-K. Methods: Data were collected from 22 students with intervention program in the experimental group and 24 students with no intervention program in the control group and analyzed using ${\chi}^2$, t-test and ANCOVA. Results: The Drinking related knowledge(F=14.33, p<.001) of experimental group was significantly higher than that of control group and the optimistic drinking outcome expectancy(F=18.28, p<.001), and problematic drinking behavior(F=5.57, p=.003) of experimental group were significantly less than those of control group. Conclusion: it is recommended that college students should receive this program to prevent and reduce their drinking behaviors.
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