Harmful environment around school area have been increased with socio-economic development in Korea. Those entertainment facilities have caused a negative effect on the learning environment in many schools. As a result of increased entertainment harmful facilities in school area, the numbers of deviant behaviors such as drinking, smoking, substance abuse and sexual activity among junior high school students have been significantly increased. Given this situation, the aim of this study was to describe the distribution of the facilities; to access applied(experience) of the facilities according to students demographic variables; and to identify the relationship between use of the facilities and students risk health behaviors such as smoking, drinking, substance abuse and sexual activity. The field theory was used to study the relationship between the use of the facilities and risk health behaviors among students. A self-administered questionnaire survey was conducted in Korea. 2,114 junior and senior high school students(middle and high school students) were recruited by the method of proportional stratified random sampling from June to July 2000. Results indicated that: 1) The rates of using game centers, PC rooms, Song rooms and comic rooms were 78.3%, 75.6%, 71.6%, and 34.3% respectively. 2) High school students visited the entertainment facilities significantly more than middle school students(p〈0.001). 3) The rates of using facilities near schools were significantly associated with parents job(p〈0.05). 4) The rates of drinking, smoking, drug abuse, and sexual activity were 21.6%, 11.9%, 4.3% and 1.6% respectively. 5) Risk health behaviors such as smoking(p〈0.001) and drinking(p〈0.001), amount of smoking and drinking(p〈0.001) and sexual activity(p〈0.05) were associated with the experience of using the facilities. Those who had drinking experience were more likely to go the facilities than those without drinking experience. Also, those who were smoker had higher probability of going using the facilities than non-smokers.
Purpose: Most research on risky drinking among adults in Korea has focused on problem drinking and high-risk drinking. This paper examines the nature of heavy episodic drinking_(HED) among adults and seeks to identify the risk factors for HED by analyzing differences by gender and age. Method: Participants were 3,886 adults aged 19-64 years from the database of the fifth Korean National Health and Nutritional Examination Survey (KNHANES-V, 2010). Data were analyzed by conducting the Rao_Scott chi-square test, an ANCOVA, and logistic analysis with SAS 9.2. Results: Individuals between 19 and 29 years of age had the highest HED among all age groups. Individuals between 40 and 49 (male adults) and those between 30 and 39 (female adults) showed HED associated with stress, suicidal ideation, smoking, and other health behavior-related variables. Risk factors that affected HED in male adults were age, educational status, and current smoking, while for female adults, the factors were age, educational status, employment, marital status, and current smoking. Conclusions: It is necessary to develop appropriate intervention programs that abate negative emotions and lessen the risk of HED in adults with consideration to gender and age differences.
Purpose: This study identified socioeconomic factors affecting the health status of Korean adults. Methods: Secondary data from 12,921 adults aged 19 to 64 old in the 7th Korean National Health and Nutrition Examination Survey were used. The participants' health status was measured using the indicators that included health behaviors (smoking, high-risk drinking, strength exercise, and aerobic physical activity) and health outcomes (metabolic syndrome, and subjective health status). Results: For all health behaviors and health outcomes, gender, age, educational level, and income were common affecting factors. Regarding health behaviors, the employment status was related to smoking, high-risk drinking, strength exercise, and aerobic physical activity. The marital status was related to high-risk drinking, strength exercise, and aerobic physical activity. The household type was related to smoking. The residential area was related to smoking, high-risk drinking, and aerobic physical activity. For health outcomes, the household type was related to obesity, and subjective health status; residential area was related to obesity. Conclusion: This study presented basic data for assessing the differences in health status. The characteristics of the affecting factors to health status should be considered, depending on the health behaviors and health outcomes.
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.
This study analyzed data from 1997 Korea's Behavioral Risk Factor Surveillance System Survey collected through telephone questionings based on the multi-stage stratified random sampling. We categorized respondents into those who had ever drunk an alcoholic beverage in the last month and those who didn't and, referring to the World Health Organization's guideline, the former group were further categorized into low risk drinking group and high risk drinking group. Employing bivariate probit regression analyses with censoring on independent variables such as preferred type of alcoholic beverage, the number of types of beverages consumed, age, marital status, education, occupation, residential area, current smoking, body mass index and stress suggested (1) that those who prefer soju are more likely to involve high risk drinking than those who and prefer the other alcoholic beverages (2) that those who are relatively older, who live without a partner, who have jobs, who. are vulnerable to stress, or who enjoy more than one type of beverage are more likely to be exposed to high risk drinking than the others.
Purpose: This study intended to identify personality factors and related problematic behaviors of adolescents who drink alcohol in order to provide basic data for developing nursing programs. Methods: The data were collected from October to December 2002 from 1.080 high school students in Seoul. The Revised Cloninger's Tri-dimensional Personality Questionnaire (TPQ) was used to measure their personalities. The alcohol expectancy was measured using the tool revised by Cho (1999) and stress levels were measure using a stress tool revised Cho (1998). The data were analyzed with SPSS Windows using Chi square test. independent t-test. and logistic regression analysis. Results: 1. The percentage of fathers who drank was 79.8%. mothers. 54.3%. and friends. 54.3%. The alcohol expectancy averaged 6.36 while the stress levels were 132.79. 2. It was found that there are significant differences (p<.001) in problematic drinking behaviors according to the following variables: second year high school students among all grade variables, more monthly pocket money for the amount of money variables, the group of students who smoked in the case of the variable related to smoking, spending more time using the Internet for the Internet use variable, and having friends who drink 65.6% for the friend variable. The alcohol expectancy scale of those students who showed problematic drinking behaviors was higher than that of those who did not. There are four family-related stress subscales, and there was a significant difference among them (p<.05). Among the personal characteristics, the group who displayed problematic drinking behaviors seeks new experiences and reward dependence more than the group who did not exhibit those behaviors, and there were significant differences between the two groups (p<.001). 3. When the socio-demographic and drinking-related factors were controlled, the tendency of seeking new experiences increased the risk of problematic behaviors 1.07 times (p<.05). Compared to the non smoking group, the smoking group was found to have a 5.06 time (p<.001) greater risk of displaying problematic drinking behaviors. In comparison with the non drinking group, the drinking group was also found to have a 5.31 time (p<.001) greater risk of exhibiting problematic drinking behaviors. The group with high alcohol expectancy scores was significantly different from the group with the no alcohol expectancy, showing a 1.26 time (p<.00l) greater risk of problematic drinking behaviors. Conclusions: Based on these results, the problematic drinking behaviors were connected with alcohol expectancies, friends and personality types. Therefore, we should develop an alcoholic prevention program for adolescence considering the above results.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.8
/
pp.183-192
/
2018
The purpose of this study was to compare female nursing college students with respect to drinking habit, drinking motives, and drinking problems. (Ed note: confirm edited version; original is a bit unclear in intent) Subjects include nursing college students in some areas, and data were collected between April and May, 2018. A total of 181 questionnaires were analyzed. The frequency analysis was used to examine the differences between the normal and drinking-problem groups. Pearson's correlation analysis was used to examine the correlations of drinking problems, and logistic regression analysis was used to analyze the factors related to drinking problems. The findings show that the frequency of drinking, rate of drinking, drinking motives, life stress, and prior experiences with drinking problems recorded a high risk ratio for drinking problems. Specifically, the group with a drinking frequency of 2~3 times per week showed a risk ratio that was 21.53 times higher than the group with a drinking frequency of 1~4 times per year. The group of higher drinking motives recorded a risk ratio that was 5.96 times higher than the group of lower drinking motives. The group of higher experiences with drinking problems showed a risk ratio that was 8.80 times higher than the group of lower experiences with drinking problems. In conclusion, the frequency of drinking, rate of drinking, drinking motives, life stress, and experiences with drinking problems were factors highly related to the drinking problems in female college students. The results highlight that careful evaluation of drinking habit of college students are needed. Moreover, periodic temperance education and programs designed to identify and prevent drinking problems are necessary to lower the risk of developing drinking problems and promote a safe drinking culture.
Objectives: The objective of this study was to assess the relationship between internet addiction and health behaviors & mental health among Korean adolescents. Methods: Data from the 2010 Korean Youth Risk Behavior Web-based Survey was analyzed. Using the Korean Internet Addiction Proneness Scale for Youth-Short Form: Self Report developed by the Korean National Information Society Agency in 2008, subjects were classified into 3 groups for internet addiction including general user, potential-risk group, and high-risk group. The health behaviors and mental health were compared among the groups for internet addiction by gender. Results: There was significantly higher prevalence of internet addiction including potential-risk group and high-risk group in boys(14.1%) than in girls(8.8%). There were significant odds ratios of perceived stress, perceived depression, perceived health and happiness, and satisfaction of sleeping in both genders at potential-risk group and high-risk group compared to general user for the internet addiction. The odds ratios of smoking at high risk group, alcohol drinking at potential risk group, eating breakfast at high risk group, and moderate physical activity at both risk groups among boys were significant. Among girls at both risk group, the odds ratios of smoking, alcohol drinking, and eating breakfast were significant. Conclusions: This study reveals a significant association among internet addiction, and health behaviors, and mental health in Korean adolescents.
The purpose of this study was to examine the prevalence and correlated factors of sexual behavior among high school students in Seoul A sample of 233 male and 248 female high school students were analyzed using cross-tabulation and logit regression models. Correlated factors examined include type of school, level of mothers education, perceived living status of family, whether family has two parents or not, and whether students have ever lived away from the family, whether students received reproductive health education at school and whether they have friends with sexual experience, whether students have ever smoking and alcohol drinking. The prevalence of alcohol drinking was 73% among boys and 55% among girls and the prevalence of smoking was 64% of boys and 40% of girls, whereas the prevalence of sexual activity was 27% among boys and 15% among girls. Risk taking was more prevalent among boys than among girls. Multiple risk taking behavior was common for both boys and girls. Students who did not have two parents were more likely to engage in risk taking behavior than those who had two parents. For both boys and girls, the factor that affects their own sexual activity most was having a friend who was sexually active and having an experience of living away from their family also increases the odds. For girls, the factor that affects having experience of alcohol drinking and smoking. Receiving reproductive health education at school had no effect on students sexual behavior. Much higher risk taking behavior with sexual behavior among students in Seoul implies that the overall prevalence of risk taking behavior among high school students was likely to rise as South Korea continues its modernization. In-school and community health education programs need to be modified to be effective in protecting students from risk taking sexual behavior.
The Journal of Korean Society for School & Community Health Education
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v.10
no.2
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pp.43-54
/
2009
Objectives: Adolescent health risk behaviors are typically smoking, drinking, violence, and the use of harmful media. The articles published in the literature are about those behaviors which was individually studied. Teenagers, however, are likely to have those behaviors simultaneously such as smoking and drinking. Also, the use of media and harmful materials are common among adolescents. This study was conducted with the purpose of investigating the relationship of smoking, drinking, the use of harmful media. Methods: This study was a secondary analysis using the data drawn from National Youth Committee's survey of adolescent harmful environment in 2007. The self-reported questionnaires were administered to 7,409 students attending junior high schools between October 10 and November 20. The samples were randomly selected based on strata of geography, schools, and gender. Results: Junior high school students used the harmful media ranging from 13.9 % to 31% depending on the type of media. The most accessed one was adult-only games. The current smoking rates was 5.4% and drinking rates was 27.4%. There are statistically significant relationship between smoking and the use of harmful media, between drinking and the use of harmful media, and between smoking and drinking. The behavioral factors that can predict the use of harmful media based on logistic regression analysis are the grade and smoking. Conclusion: Students were at risk of engaging health risk behaviors as they were getting older. Like other literature, smoking was a significant predictor of adolescent behavioral problems.
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