Objectives: The aim of this study was to identify differential impacts on smoking and drinking behaviors according to early menarche. Methods: 31,277 Korean female adolescents who had undergone menarche were included. Among them, 1,822 participants(5.8%) who experienced menarche in elementary school under 4th grade were assigned to early menarche group and others were was assigned normal menarche group. Using 11th(2015) Korea Youth Risk Behavior Web-based Survey, logistic regression analysis was conducted. Results: Adjusted confounding variables were analyzed and it was found that both drinking and smoking behaviors were higher in early menarche group. The participants with early menarche showed higher risk of non-daily smoking(OR=1.39, 95%CI=1.18-1.63), light daily smoking(OR=1.64, 95%CI=1.14-2.35) and moderate-to-heavy daily smoking(OR=3.15, 95%CI=2.02-4.92). Also, in the drinking behaviors, the risk of light and heavy drinking was higher than those of normal menarche group. Conclusions: Finding of this study showed Early menarche adolescents were associated with heavy smoking and drinking behaviors compared to normal menarche. Further studies are needed more evaluations.
Objectives : This Study was to understand the relationship between smoking and drinking behaviors among some Korean university and college students. Methods : This study is based on data from National Survey of Health and Nutrition 2013 carried by Ministry of Health and Welfare. The respondents consisted of 319 students. The data were analyzed by using SPSS 18.0 program. Results : The analysis of the correlation between smoking and drinking behaviors. Conclusions : To explore the smoking and drinking problem among university and college students, the first step should be a national representative survey with scientific methods. And health promotion program should be targeted at university and college students considering smoking and drinking behaviors. Also, the health policy for students, through various ways, such as health counselling service, health education should be employed.
Purpose: This study was to investigate the relation among social support, drinking and smoking and to identify factors affecting high school students' smoking and drinking behaviors. Methods: Data were collected from 361 high school students (182 students in 2 preparatory schools and 179 students in 2 vocational high schools) who were selected through convenient sampling. Data were analyzed using SPSS 11.5 for Windows. Results: Factors affecting smoking behavior were drinking(OR=15.86. p<0.01), school type(R=11.82, p<0.01), school record(OR=46.62. p<0.001), pocket money (OR= 10.91. p<0.01) and brother's smoking (OR=9.09. p<0.05). Factors affecting drinking behavior were smoking(OR=8.32. p<0.01), school type(OR=2.53. p<0.01), school record(OR=2.35. p<0.01), pocket money(OR=2.01. p<0.05), father's educational background(OR=2.126. p<0.05), mother's drinking(OR= 1.83. p<0.05) and relationship with teacher (OR=2.44. p<0.01). Conclusion: The behaviors of drinking and smoking in high school students were highly correlated with each other. School record, school type, pocket money and family member's behaviors influenced student's behaviors. Further study is required to estimate the effect of drinking and smoking intervention programs according to student's characteristics such as school record, school type, pocket money management, and family members' influence.
Objectives: Although Asian immigrants have lower rates of smoking and binge drinking than other ethnics in the US, Korean Americans have the highest rate of Asian immigrants. This study, therefore, compared with the rates and examined the predictors of smoking and binge drinking by gender and ethnicity among Asian immigrants in California. Methods: In 2001 and 2003, California Health Interview Survey (CHIS) were conducted in English and their original languages with Asian immigrants residing in 58 Counties and 3 Cities, California. We performed analysis to find out the differences of smoking and binge drinking rates using the secondary data, CHIS 2001 and 2003. Multiple logistic regression analysis for survey data identified predictors of smoking and binge drinking behaviors by gender and ethnicity. Results: Korean American males (35.4%) and Japanese American females (15.4%) had higher rates of smoking prevalence compared with other Asian immigrants in California. In binge drinking, 26.5% of male and 8.1% of female among Korean Americans were binge drinker, and the rates were the top with Asian Americans who had lived in California. It showed the remarkable gap between gender of smoking and binge drinking among Vietnamese immigrants, whereas not the striking difference among Japanese Americans. In multiple regression models, age, educational level, occupation, marital status, English proficiency, and health insurance coverage remained significant for smoking and binge drinking behaviors(P<0.05). Even though the time in the US was not significant, it seemed to be related to educational level and English proficiency. In particular among female, smoking and binge drinking behaviors were associated with acculturation. Conclusion: Although Asian Americans had shared with American culture since they had immigrated in the US, they had significantly different prevalence rates of smoking and binge drinking based on gender and ethnicity. Therefore, future efforts should be focused on understanding differences by ethnicity and target at high-risk subgroups. To achieve this, it needs to develop the educational materials in Korean and their original languages.
Objectives: This study examines the drinking behaviors and the relationship between drinking and smoking behaviors among some Korean university students. Methods: A self-administered questionnaire survey was conducted in May, 2006. A total of 1,163 students(715 male and 448 female) completed questionnaires, who were randomly selected in a university in Gyeongsangbuk-Do, Korea. Results: The overall drinking and smoking rates for male subjects were 88.7% and 37.2%, and those for females were 83.5% and 2.2%, respectively. Among the male drinkers 39.9% smoked, while 16.0% of the male non-drinkers were smokers. As male drinkers drink more often, heavier amount per drinking episode, even on a binge, their smoking rate was high. The subjects reported there was positive reinforcement between drinking and smoking behaviors. Conclusions: The drinking rate of students was relatively high, especially for male students drinking behavior was strongly correlated with smoking behavior. Health promotion programs should be targeted at university students considering drinking and smoking behaviors simultaneously.
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.
Purpose: The study investigated the effect of adolescent health behavior on the prevalence of current allergic diseases. Methods: The subjects were 57,303 middle and high school youth. Data were analyzed using Rao-Scott χ2 test and complex sample logistic regression analysis. Results: While controlling the affect of the general characteristics of the subjects, health behaviors affecting the current prevalence of allergic diseases were smoking, drinking, physical activity, eating habits, drug abuse, and mental health. Smoking behaviors affecting the current prevalence of allergic diseases were lifetime smoking experience, smoking days, liquid e-cigarette lifetime smoking experience, number of liquid electronic cigarette smoking days, e-cigarette lifetime smoking experience, e-cigarette smoking days, amount of smoking, second-hand smoking and drinking behaviors were lifetime drinking, drinking days, the amount of drinking, and severe drinking. Variables such as physical activity exceeding 60 minutes days, intake of energy and sweet drinks, water intake, habitual drug use and mental health behavior such as stress perception, weekday sleep time, subjective sleep satisfaction, depression, suicidal thoughts/ plan/ attempts affect current allergic diseases (p<.001). Conclusion: The results showed that current allergic disease related health behaviors in Korean adolescents. Therefore, considering these factors, it may be helpful to facilitate a health promotion plan for prevention and management of such diseases and to promote evidence-based health practices at school.
The purpose of this study was to investigate the associations between adolescent risk behaviors and correlates of risk behaviors. Questionnaires were completed by 955 high school freshmen in the Daegu${\cdot}$Kyungpook area and included measures of risk behaviors, coping, self-esteem, social competence, attitudes toward risk behaviors, parental attachment, autonomy, parental monitoring, and peers' risk behaviors. The major findings were as follows. (1) Parental attachment, autonomy, and appropriate parental monitoring were positively correlated with adolescent coping, self-esteem, social competence, and peers' desirable behaviors, but were negatively associated with peers' risk behaviors and attitudes toward risk behaviors. (2) Of all the variables, peers' risk behaviors and favorable attitudes toward smoking had the greatest influence on adolescent drinking and smoking, following by favorable attitudes toward drinking, social competence, and gender (3) Similar to adolescent drinking and smoking, of all the variables, peers' risk behaviors had the greatest influence on adolescent delinquency, following by favorable attitudes toward smoking and gender.
Objectives: This study aims to evaluate how the amount and duration of smoking effects the bleeding and pain of gingival among adolescents in Korea while also taking into consideration the impact of drinking. Methods: Data were utilized from a web-based survey of youth health behaviors conducted by the Korean Center for Disease Control and Prevention in 2016. The subjects of the study included 65,528 adolescents from middle and high schools. As dependent variables, bleeding and pain of gingival were used. Data were analyzed using the SPSS Version 20.0 program. Results: After adjusting for the general characteristics and oral health behaviors of the subjects, in the long-term, the ≥0.52 PY group (heavy smoker) experienced 1.28 times higher bleeding and pain of gingival than the <0.52 PY group (light smoker) among adolescents who smoke and drink at the same time. Adolescents who smoked without drinking did not show any difference on bleeding and pain of gingival according to the amount of smoking in the short- and long-term. However, the findings reveal that there was a difference on bleeding and pain of gingival according to tooth brushing frequency. Conclusions: In order to promote the periodontal health of adolescents, it is argued that programs and projects should be implemented to prevent, educate, and control simultaneous behaviors of smoking and drinking.
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.
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