• Korean Journal of Health Education and Promotion
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• v.2 no.1
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• pp.115-132
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• 2000

The purpose of this study is to provide baseline information on the risk-taking health behavior of alcohol consumption in four ethnic groups, Caucasian, Chinese, Japanese, and Korean, residing in the State of Hawaii. Secondary data from the State-based Health Behavioral Risk Factor Surveillance System, designed by the Center for Disease Control, were used. The total sample analyzed for this study contained 6,068 persons. Univariate and logistic regression analysis were performed in order to determine sociodemographic profiles and the predictor variables to produce the findings of this study. The percentage distribution of six sociodemographic factors by race was very similar in all alcohol consumption factors, acute drinking, chronic drinking, and drinking and driving. In this study there were significant ethnic differences in alcohol consumption factors except drinking and driving.

• Journal of Biomedical Engineering Research
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• v.43 no.1
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• pp.27-34
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• 2022

Drunk driving defines a driver as unable to drive a vehicle safely due to drinking. To crack down on drunk driving, alcohol concentration evaluates through breathing and crack down on drinking using S-shaped courses. A method for assessing drunk driving without using BAC or BrAC is measurement via biosignal. Depending on the individual specificity of drinking, alcohol evaluation studies through various biosignals need to be conducted. In this study, we measure biosignals that are related to alcohol concentration, predict BrAC through SVM, and verify the effectiveness of the S-shaped course. Participants were 8 men who have a driving license. Subjects conducted a d2 test and a scenario evaluation of driving an S-shaped course when they attained BrAC's certain criteria. We utilized SVR to predict BrAC via biosignals. Statistical analysis used a one-way Anova test. Depending on the amount of drinking, there was a tendency to increase pupil size, HR, normLF, skin conductivity, body temperature, SE, and speed, while normHF tended to decrease. There was no apparent change in the respiratory rate and TN-E. The result of the D2 test tended to increase from 0.03% and decrease from 0.08%. Measured biosignals have enabled BrAC predictions using SVR models to obtain high Figs in primary and secondary cross-validations. In this study, we were able to predict BrAC through changes in biosignals and SVMs depending on alcohol concentration and verified the effectiveness of the S-shaped course drinking control method.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.6D
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• pp.577-585
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• 2010

Traffic accidents are caused by several factors such as drivers, vehicles, and road environment. It is necessary to investigate and analyze them in advance to prevent similar and repetitive traffic accidents. Especially, the human factor is most significant element and traffic accidents by drinking-driving caused from human factor have become social problem to be paid attention to. The study analyzes traffic accidents resulting from drinking-driving and the effects of driver's attributes and environmental factors on them. The study is composed as two parts. First, the log-linear model is applied to analyze that accidents by drinking or non-drinking driving associate with road geometry, weather condition and personal characteristics. Probability is tested for drinking-driving accidents relative to non-drinking drive accidents. The study analyzes probability differences between genders, between ages, and between kinds of vehicles through odds multipliers. Second, traffic accidents related to drinking are classified into property damage, minor injury, heavy injury, and death according to their severity. Heavy injury is more serious than minor one and death is more serious than heavy injury. The ordinal regression models are established to find effecting factors on traffic accident severity.

• Child Health Nursing Research
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• v.14 no.1
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• pp.99-110
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• 2008

Purpose: This study was done to identify the relationship between smoking, drinking and safety behavior in middle and high school students in one Korean province, North Cholla. Method: The study sample included 1,327 randomly selected middle and high school students from S-Gun area in Chonbuk Province. The data were collected using an anonymous questionnaire developed by the Ministry of Health and Welfare (2005). The data were analyzed using the SPSSWIN 15.0 program. Results: The smoking rate in the middle and high school students was 6.9%, and the drinking rate was 24.9%. The rate for seatbelt use was 49.3%, for drunk driving, 8.8%, and for riding in car driven by a drunk driver, 24.0%. The rates for seatbelt use, for drunk driving, and for riding in a drunk driver were higher in smokers and drinkers than in non-smokers and non-drinkers(p<.05). Conclusion: The smoking and drinking status of the adolescents was correlated with their safety behavior practices as they relate to seatbelt use, drunk driving, and for riding in car driven by a drunk driver. Therefore, an elementary school level program to curb student smoking and alcohol consumption is needed to prevent smoking and alcohol consumption in middle and high school students and contribute to improvement in their safety behavior practices.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.411-423
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• 2018

This study was conducted to identify the correlation between driving under the influence (DUI) and bicycle riding under the influence and the impact factors of DUI among Korean adults. The participants were 3,385 Korean adults. Data were collected Seventh Korea National Health and Nutrition Examination Survey. The pervasiveness of DUI was 7.8% of the adult population in Korea. The relevance of DUI and bicycle riding under the influence was a statistically significant difference. The factors affecting of DUI were bicycle riding under the influence, aerobic physical activity, one-time drinking, frequency of binge drinking, experience aboard a driving under the influence vehicle. To prevent DUI among Korean Adults, we would need to encourage aerobic physical activity in daily and workplace, recognize that bicycle drunk riding can lead to drunk vehicle driving, and that management of alcohol use disorders and be planning to the vehicle driving before drinking.

• Journal of the Korea Society of Computer and Information
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• v.24 no.10
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• pp.215-223
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• 2019

Driving after drinking is highly likely to cause accidents due to lack of responsibility and poor judgment. South Korea is seeking a sentence for accidental drinking accidents. The suspended jail term for drunk drivers accounts for more than 70 percent of the total. However, those who come to the probation office during the probation period are involuntary, subject to little motivation for change, and the large-scale, collective, and short-term education offered to them is limited in preventing re-off. In addition to small group and long-term education, we conducted intensive short-term interventions to see changes in drinking habits in three months. In the long run, the effectiveness of drinking control will be demonsstrated, making a difference in improving the programs offered to drunk drivers in the future. Drunk driving accouts for a very high percentage of the causes of traffic accidents, which, like many countries around the world, should make efforts to prevent and punish drunk driving.

• International Journal of Highway Engineering
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• v.14 no.5
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• pp.165-177
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• 2012

PURPOSES: The number of traffic accidents in 2010 was 226,978 in Korea, a high percentage of which up to 12.61% was due to drunk driving. As it is expected that the number of traffic accidents will increase because of the drastic increase of the number of vehicle registrations and the prevalent drinking cultures, it is necessary to understand the driving characteristics of drunken drivers to lower the increasing rate. METHODS: This study, therefore, comparatively analyzes the two groups - one group before drinking and the other after drinking - based on the graph, and implements the correlation in each scenario(1,2,3). scenario 1. appearance of jaywalkers; scenario 2. appearance of an illegal left-turning car; and scenario 3. appearance of a vehicle and a person as obstacles to the driver after an accident. RESULTS: The comparative analysis of speed shows that the group after drinking was 50km/h faster than the group before drinking in Scenario 1, 20km/h in Scenario 2, and 15km/h in Scenario 3 respectively. In the comparative analysis of acceleration, the average level of the group after drinking was 0.15 higher than that of the group before drinking in Scenario 1, 0.30 in Scenario 2, and 0.15 in Scenario 3. In the comparative analysis of deceleration, the average level of the group after drinking was about 0.4 lower than that of the group before drinking in Scenario 1, 0.35 in Scenario 2, and 0.2 in Scenario 3 respectively. In the comparative analyses, the item of speed, acceleration and deceleration was of significance for each group in Scenarios. CONCLUSIONS: The comparative analysis demonstrated that there is a difference between the group before drinking and the group after drinking. In the analysis of correlation in each group, it was proved that the drunken group was of significance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.7C
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• pp.565-575
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• 2012

In the modern everyday life, cars the largest proportion of smart features that require mounting in a variety of smart devices and smart methods on have been developed. In this paper, the smart car among the main core of the safety management system optional for the control of drinking and drowsiness, as part of system development, will be drinking if you start your car automatically is to develop a system to avoid driving. For this, through image processing to analyze the driver's seat of the driver's facial color how to determine whether or not drinking alcohol is proposed. In particular, the system developed in this paper determines whether or not drinking alcohol before the face images without the need for alcohol after only a unique color change of the face appears to target only way to determine whether drinking and actual alcohol control center of a smart car safety control management system can be applied effectively. The experiment was done in 30 patients after drinking appears face color changes of them. We also perform an analysis on the statistical significance of the experimental results to verify the effectiveness of the proposed method.

• Korean Journal of Community Nutrition
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• v.7 no.2
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• pp.232-244
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• 2002

This study investigated the correlation between health-related habits and the biochemical characteristics of the blood of Korean bus drivers. A total of 178 bus drivers working in the Masan area participated in this study. The general characteristics and health-related habits of the subjects were surveyed using a serf-administered questionnaire. The biochemical date were collected from regular health check-ups done through their workshop health insurance company in lune, 1999. The results were as follows : The average age of the subjects was 38 years, and 44.2% had a driving career of between 10 and 19 years. About 90% of the subjects ate irregularly, and 36% ate. health floods. Their rates of drinking, smoking and exercise were 74.6%, 83.6% and 70.8%, respectively. Their frequency of drinking was significantly increased as the length of their driving career increased (p < 0.001). Their levels of total serum cholesterol, in relation to the length of their driving career was significantly higher in the over 20 year group than in the below 10 year group (p < 0.05). Their systolic blood pressures, according to age, were significantly higher in the 51 to 60 age group than in the other groups (p < 0.05). Their total um cholesterol levels signiscantly increased with increasing age (p < 0.001). Their diastolic blood pressures (p < 0.001) and blood glucose levels (p < 0.05) were significantly higher among the subjects who drinking alcohol almost everyday, than among other subjects. Their systolic blood pressures who significantly increased with increasing frequency of their drinking (p < 0.001). The systolic blood pressure and diastolic blood pressure were positively related to age, the amount of drinking, the frequency of drinking and the obesity index, and negatively related to exercise and the duration of exercise. The hemoglobin was positively related to age, preference for a meat diet and the obesity index. The blood glucose was positively related to the amount of drinking, and the total serum cholesterol was positively related to age, length of driving career, period of smoking and the obesity index. The results of this study indicated that bus drivers need regular exercise, moderation of their drinking and smoking, and control of their body weights so as to prevent chronic diseases.

• International Journal of Contents
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• v.16 no.1
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• pp.34-43
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• 2020

This study was conducted to identify the impact factors of bicycle driving under the influence (DUI) among Korean adults. The participants were 1,297 Korean adults. The prevalence of bicycle DUI was 11.7% of Korea adults. The factors affecting bicycle DUI were gender, education level, frequency of drinking, one-time drinking, vehicle DUI. To prevent bicycle DUI, we would need to facilitate appropriate drinking habits, provide treatments for disorders related to alcohol use, and change the social perception of bicycle DUI. Also, we should promote the establishment of the culture of bicycle helmet use, the establishment of a system that imposes fine to non-helmet-using riders, and education and publicity on the national level to recognize that bicycle DUI and DUI are mutually related.