• Journal of The Korean Society of Integrative Medicine
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• v.9 no.1
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• pp.59-67
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• 2021

Purpose : This study examined the factors related to sexual intercourse among adolescents in South Korea. Methods : The study sample was comprised of 65,528 middle and high school students aged 12 to 18 years in 2016. For this study, using the data from the 12th Korea youth risk behavior web-based survey, a chi-squared test, and hierarchical logistic regression analysis we reconducted with the SPSS 22.0 program considering personal, family, school, and regional characteristics. Results : The proportion of adolescents who had sexual intercourse was 6.0 % of boys and 2.7 % of girls, and 6.3 % of high school students and 2.4 % of middle school students. The statistically significant related factors of sexual intercourse were gender, grade, attempted suicide, ever drinking, ever smoking, habitual or purposeful drug use, weekly allowance, and coed school in the final model 4. Adolescents with suicide attempts had 2.49 times more sexual intercourse than adolescents with no experience of suicide attempts. Compared to adolescents without alcohol, smoking, and habitual drug use, those who have experienced alcohol, smoking, habitual or purposeful drug use were 2.22 times, 3.76 times, and 3.39 times more likely to have had sexual intercourse, respectively. Adolescents with a weekly allowance of more than 100,000 won per week and adolescents in coed schools were 2.84 times and 1.40 times more likely to have had sexual intercourse, respectively. Conclusion : Multi-level interventions should be considered in school sexual education programs while considering the substantiality of sex education and the actual adolescents' needs. In addition, sexual health interventions in cyberspace for high-risk groups may be needed to consider the emotional and mental characteristics, given the factors related to sexual intercourse in adolescents.

• Journal of Korean Dental Hygiene Science
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• v.3 no.2
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• pp.19-26
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• 2020

This study surveyed 57,303 teenagers using the 15th (2019) online Juvenile Health Behavior survey data to understand the relationship between oral health behavior, mental health, and smoking. The results of analyzing the factors affecting smoking experience are as follows: The smoking rate was higher in men (p<0.001), in a lower academic ability (p<0.001), and in moderate economic status was moderate (p<0.001). The smoking rate was higher in 2 or less brushing frequency (p<0.001), in no brushing before going to bed (p<0.001), in no brushing aftger lunch (p<0.001), in no experience of oral health education (p<0.001), and when the subjests felt unhealty in oral health (p<0.001). The smoking rate was significantly higher in those who experienced a lot of stress (p<0.001) and feelings of depression (p<0.001). The odds ratio for smoking was 1.44 when not brushing teeth before bedtime, 0.76 in experience of oral health education, and 1.29 in unhealthy subjective oral health. The odds ratio for smoking was 0.91 in no stress and 1.85 in depression. Since oral behavior and mental health affect smoking, intervening with these factors is necessary to quit smoking.

• Korean Journal of Health Education and Promotion
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• v.34 no.1
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• pp.1-12
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• 2017

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.

• Journal of Korean Public Health Nursing
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• v.12 no.2
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• pp.107-121
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• 1998

The purpose of this study was to test the revised Health Promotion Model of Pender and to determine the factors to promote health behavior for adolescents' smoking behavior. The subjects of the study was 783 boys of 4 high school students. among 39. schools locating in Daejeon metropolitan city. The data was collected from July 1st to 15th. 1997 by school health nurse The research tool were HPLP of Walker. Pender. General self-efficacy scale of Sherer. control scale was measured by subconcept of hardiness scale of Pollock. and perceived barrier. perceived benefit. activity-related-affect tool were made by researcher via literature review The data were analyzed by SAS program using frequency. t-test. ANOVA. Schefee test. regression. The results were as follows 1. The mean of total health promoting behavior was $2.27\pm.35$. Among sub domain of health promoting behavior, the highest score was interpersonal support$(2.72\pm.60)$. and the lowest was health responsibility $(1.58\pm.44)$. 2. There were statistically significant difference in total health promoting behavior according to religion. parenting style. school performance. girl friend. father's smoking of individual characteristics. 3. The socioeconomic status. smoking, parent pattern. family structure of individual characteristics and experience domain associated with perceived benefit. perceived barrier. activity-related affect. interpersonal influence of behavior-specific cognition and affect domain. The perceived barrier. self-efficacy. girl friend and father's smoking of interpersonal influence. and control explained $25.8\%$ of variance of health promoting behavior. From above results school health nurse has to emphasize on health responsibility for health promotion of adolescent. But they couldn't intervene for parent pattern. socioeconomic status. family structure of individual characteristics and experience domain. it could be possible for school health nurse to promote health of adolescents through improving perceived barrier. also develop program to increase self-efficacy and through parent health class for fathers. Above results point to the importance of including parents in smoking prevention effort targeting adolescents. Because increasing control also promotes health of adolescents. it should be studied further about the specific measure. To verify the variables for increasing the fitness of health promoting model. it needs further replication of the research.

• Child Health Nursing Research
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• v.9 no.1
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• pp.66-73
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• 2003

Purpose: This study is to investigate the smoking experience and its related factors among adolescence. Method: The subject for this study consisted of 2711 students of middle, high school located in youngam-koon, chonnam. The data were collected by an anonymous questionnaire during the period from March. 1, 2001 to June. 20, 2001. Result: The frequency of cigaret smoker was 8％. The frequency of smoker in the high school was higher than that of smokers at the middle school. The motivation of smoking was curiosity and solicitation by friends, and the level of smoking was on average less than 10 cigarettes a day. The 72.2％ of smokers started during the middle school period. Students who smoke had more positive attitude toward smoking than students who don't smoke. There were significant differences in there knowledge about the harmful effect of smoking between nonsmoker and smoker. Most smoking students thought that nonsmoking education is necessary for adolescents, even though they don't want to quit the smoking. The frequency of smoker was different between genders. Conclusion: An understanding of the characteristics of smoking of adolescence may provide guidance for preventive interventions with adolescents.

• Journal of Korean Academy of Nursing
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• v.42 no.1
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• pp.19-27
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• 2012

Purpose: This study examined the effectiveness of an Adolescent Motivational Interviewing Cessation program on smoking cessation change. The study was done with a nonequivalent control group pretest-posttest design. Methods: The participants were 39 high school students from G city, who were in school from September 1 to October 30, 2009. The students were assigned to the experimental group (20) and participated in the motivational interviewing cessation program or to the control group (19) who did not participate. Data analyses involved ${\chi}^2$-test, independent t-test, Repeated Measures ANOVA, and utilized the SPSS program. Results: The experimental group had significantly less daily smoking, nicotine dependence and smoking temptation in comparison to the control group. The experimental group had significantly higher stage of change in comparison to the control group. Conclusion: The results of the study indicate that a motivational interviewing cessation program delivered to adolescents who smoke is an effective method of encouraging cessation, and can be utilized as an effective nursing intervention for adolescents who smoke.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.347-353
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• 2019

This study was a descriptive research to investigate the difference of obesity, smoking, drinking affected allergy disease in Korean adolescents using the raw data of $6^{th}$ Korea National Health and Nutrition Survey(2015). Study data on 535 Korean adolescents classified 12 to 18 years and Rao-Scott Chi-square test and logistic regression were used for analysis. The results of the study showed that the prevalence of asthma, atopic dermatitis, allergic rhinitis were 5.4%, 15.5%, 22.8% and not shown differences according obesity, smoking, drinking. But, the risk factor of asthma was related obesity, atopic dermatitis was related smoking. Based of this study's findings, It is necessary to develop the Heath Promotion Intervention Program according of obesity, drinking, smoking for the quality of life in adolescents diagnosed Allergy disease.

• Journal of Preventive Medicine and Public Health
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• v.39 no.5
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• pp.379-388
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• 2006

Objectives: This study assessed the influences of various factors that are related to youth smoking such as gender, age and type of school, and we wanted to provide supporting data for tailored and effective policy initiatives to reduce adolescent smoking. Methods: A self-report survey was conducted on 14,910 teen-age students who were selected based on the nationwide distribution of students in large and small cities and counties, the gender ratio of the students and the ratio of students attending various type of school at 38 middle and high schools in six representative areas of each province. The survey was handled and managed by a health education teacher at each school. Binary and multinomial logistic regression was used in the analyses. Results: Smoking by adolescents was associated with gender, age and even height. Male high school students tended to smoke more than female high school students, but this differences was not significant for middle school students. The older the adolescents were, the more likely that they smoked, except for the female high school students. Height was meaningful for all adolescents, except for the boys at the vocational high schools. Monthly allowance was significant for all adolescents. School factors such as type of school and the students' school performance were also crucial factors. Attending a vocational high school was strongly related to smoking, especially for girls. Students' school performance and the perceived level of stress were strongly associated with smoking, especially for boys. Home factors such as the relationship with parents and conversation time with family members were closely related to smoking behavior. Knowledge about the health hazard of smoking was also found to be strongly related to adolescent smoking. Conclusions: In conclusion, demographic factors, school factors, home surroundings and the perception on the harmfulness of smoking are strongly related to adolescent smoking behavior, but these differ from gender and type of school.

• Journal of Preventive Medicine and Public Health
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• v.39 no.3
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• pp.249-254
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• 2006

Objectives: This study was conducted to examine the factors related to the perceived peer smoking prevalence for adolescents. Methods: A self-administrated questionnaire was administered to 352 students in a technical high school in Kangwon Province in May, 2002. The questions included in the questionnaire were concerned with the estimated number of smokers among ten students of the same grade in their school, the sociodemographic characteristics, the smoking-related behaviors and attitudes, and the smoking-related environments. All the students had their expiratory carbon monoxide level measured with EC50 Micro-Smokerlyzer? to verify their smoking status. Multiple regression analysis was applied for data analysis using Windows SPSS 11.5. Results: The former and current smokers overestimated the peer smoking prevalence. Multiple regression analysis for estimating the peer smoking prevalence for the male showed that the perceived smoking prevalence was higher in the female students than in the male students, higher in those students whose mothers had a higher educational level, who had smoked more frequently, who had more best friends smoking, and who had a higher actual smoking rate of the class. For estimating the peer smoking prevalence for the female, the perceived smoking prevalence was higher in the female students than in the male students, higher in those who smoked more frequently, whose five best friends smoked, who had higher actual smoking rate of the class, and who had smoking siblings. Conclusions: This study showed that a higher perceived peer smoking rate is related with their own smoking history and smoking frequency, the smoking related environment, and gender. Smoking prevention and smoking cessation programs need to focus on correcting the falsely perceived smoking prevalence.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.1747-1753
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• 2013

Background: It is projected that low and middle-income countries will bear a major burden of tobacco related morbidity and mortality, yet, only limited information is available on the determinants of smoking initiation among youth in Africa. This study aimed to assess the determinants of smoking initiation and susceptibility to future smoking among a population of high school school students in Lagos, Nigeria. Materials and Methods: Baseline data from an intervention study designed to assess the effect of an anti-smoking awareness program on the knowledge, attitudes and practices of adolescents was analyzed. The survey was carried out in six randomly selected public and private secondary schools in local government areas in Lagos state, Nigeria. A total of 973 students completed self-administered questionnaires on smoking initiation, health related knowledge and attitudes towards smoking, susceptibility to future smoking and other factors associated with smoking. Results: Of the respondents, 9.7% had initiated smoking tobacco products with the predominant form being cigarettes (7.3%). Males (OR: 2.77, 95%CI: 1.65-4.66) and those with more pro-smoking attitudes (OR: 1.44, 95%CI: 1.34-1.54) were more likely to have initiated smoking. Those with parents and friends who are smokers were 3.47 (95%CI: 1.50-8.05) and 2.26 (95%CI: 1.27-4.01) times more likely to have initiated smoking. Non-smoking students, in privately owned schools (OR: 5.08), with friends who smoke (5.09), with lower knowledge (OR: 0.87) and more pro-smoking attitudes (OR 1.13) were more susceptible to future smoking. In addition, respondents who had been sent to purchase cigarettes by an older adult (OR: 3.68) were also more susceptible to future smoking. Conclusions: Being male and having parents who smoke are predictors of smoking initiation among these students. Consistent with findings in other countries, peers not only influence smoking initiation but also influence smoking susceptibility among youth in this African setting. Prevention programs designed to reduce tobacco use among in-school youth should take these factors into consideration. In line with the recommendations of article 16 of the WHO FCTC, efforts to enforce the ban on the sales of cigarettes to minors should be also emphasised.