Objectives : The objective of this research was to investigate the smoking state of students in Y university, located in Youngdong-gun, Choungbuk. Methods : This research was conducted toward 311 number of students in the university. The questionnaire basically consists of the status of smoking, the behavior of smoker and non-smoker. Results : 58.2% of the male respondents were current smoker, but 72.4% of the females were non-smoker. 58.2% of the current smokers were 22 to 25 aged group. The highest rate of time to begin with smoking was in 15 to 18 years old and the most of people consumed 11 to 20 pieces of cigarettes per day. 48.9% of the students have an experience to keep no smoking more than one month. There were reverse correlation(r=-.335) between the status of smoking and sex, and positive correlation(r=.264) between the status of smoking and an age. Of the people experiencing non-smoking, 55.3% were smoking 'everyday' and 44.7% were 'sometimes'. The biggest part of the reason why stopped smoking was for 'the advices of other people'(25.5%), and 'Harm to health' and 'Social atmosphere of non-smoking'(21.3%) were following. Conclusions : In the university students, current smokers among male students were still high smoking rate. Therefore Dental Hygiene students in the same University have to provide the quit smoking education and oral health care methods for current smokers.
This study, as a secondary analysis research, bases its source upon on raw data from the on-line survey of the Korean adolescents' health behaviors in 2015. This study was conducted to clarify the relevance of Korean adolescents' smoking with their health behaviors and mental health, and thus further to provide basic sources of effective education for their smoking prevention and for program development. The results of the study showed that Korean adolescents' smoking was significantly affected by the adolescents' sex, grades, school achievements, types of schools, allowances, economic status, parents' educational background (p<0.001). Meanwhile, smoking based on the characteristics of health behaviors was significantly different according to alcohol consuming experience, families' and friends' smoking, physical activity and subjective health status, and BMI (p<0.001). Smoking characterized by mental health showed the significant difference in their stress recognition, subjective sleep patterns, depressed experiences, suicidal ideation, and subjective sense of happiness (p<0.001). Based on all the factors regarding youth smoking, there should be development and provision of educational program for smoking prevention and cessation, including healthy behavior and mental health improvement for Korean adolescent.
Kim, Heenyun;Lee, Da Ho;Jeong, Ji Yun;Gu, Yeo Jeong;Jeong, Hyoung Sun
Health Policy and Management
/
v.30
no.2
/
pp.199-210
/
2020
Background: Based on the importance of ceasing smoking programs to control the regional disparity of smoking behavior in Korea, this study aims to reveal the variation of smoke rate and determinants of it for 229 provinces. An evaluation of the relative efficiency of the cease smoking program under the consideration of regional characteristics was followed. Methods: The main sources of data are the Korean Statistical Information Service and a national survey on the expenditure of public health centers. Multivariate regression is performed to figure the determinants of regional variation of smoking rate. Based on the result of the regression model, clustering analysis was conducted to group 229 regions by their characteristics. Three clusters were generated. Using data envelopment analysis (DEA), relative efficiency scores are calculated. Results from the pooled model which put 229 provinces in one model to score relative efficiency were compared with the cluster-separated model of each cluster. Results: First, the maximum variation of the smoking rate was 16.9%p. Second, sex ration, the proportion of the elder, and high risk drinking alcohol behavior have a significant role in the regional variation of smoking. Third, the population and proportion of the elder are the main variables for clustering. Fourth, dissimilarity on the results of relative efficiency was found between the pooled model and cluster-separated model, especially for cluster 2. Conclusion: This study figured regional variation of smoking rate and its determinants on the regional level. Unconformity of the DEA results between different models implies the issues on regional features when the regional evaluation performed especially on the programs of public health centers.
Lee, Jun Beom;Hahm, Myung-Il;Kim, Dong Jun;Cho, Ha-Hyeon;Min, In Soon
Korea Journal of Hospital Management
/
v.24
no.2
/
pp.12-22
/
2019
Purposes: The purpose of this study was to examine the association between risk behaviors and smoking in Korean adolescents. Methods: This study used data from online survey of youth health behavior in 2017. Data from a total of 54,411 people (27,139 male, 27,272 female) were included in the analysis. chi-square test, simple logistic regression, multiple logistic regression were performed using SAS 9.4. Findings: Multiple logistic regression analysis showed that risk behaviors such as drinking alcohol experience, sexual experience, drug use experience and high caffeine energy drinks intake experience had a significant effect on smoking. Adolescents with drinking experience were more likely to smoking than those who had no experience(OR=8.58, 95% CI: 7.67~9.60). Adolescents with sexual experience were more likely to smoking than those who had no experience(OR=4.47, 95% CI: 3.91~5.11). Adolescents with drug use experience were more likely to smoking than those who had no experience(OR=2.32, 95% CI: 1.63~3.32). Also, adolescents with high-caffeine energy drinks intake experience were more likely to smoking than those who had no experience(OR=1.37, 95% CI: 1.23~1.53). Practical Implications: All the risk behaviors were significantly associated with smoking rates. Results of this study suggest that physicians and health workers in medical institutions and health centers should simultaneously serve education and consultation for the smoking cessation as well as for the prevention of risk behaviors.
Purpose. The present study was intended to compare difference in research variables between delinquent adolescents and student adolescents, and to analyze discriminative factors of delinquent behaviors among Korean adolescents. Methods. The research design of this study was a questionnaire survey. Questionnaires were administered to 2,167 adolescents (1,196 students and 971 delinquents), sampled from 8 middle and high school and 6 juvenile corrective institutions, using the proportional stratified random sampling method. Statistical methods employed were Chi-square, t-test, and logistic regression analysis. Results. The discriminative factors of delinquent behaviors were smoking, alcohol use, other drug use, being sexually abused, viewing time of media violence and pornography. Among these discriminative factors, the factor most strongly associated with delinquency was smoking (odds ratio: 32.32). That is, smoking adolescent has a 32-fold higher possibility of becoming a delinquent adolescent than a non-smoking adolescent. Conclusions. Our findings, that smoking was the strongest discriminative factor of delinquent behavior, suggest that educational strategies to prevent adolescent smoking may reduce the rate of juvenile delinquency. Antismoking educational efforts are therefore urgently needed in South Korea.
Objectives: The purpose of this study was to evaluate the association of smoking and drinking status with gingival symptoms among the adolescents in Korea. Methods:We used the data from the web-based survey of the National Korean Youth Risk Behavior of Korean Center for Disease Control in 2016. The study subjects were 65,528 adolescents from middle- and high schools. Data were analyzed by SPSS Ver. 19.0. Multiple regression analysis was used to assess the factors related to gingival symptoms. Results: We observed 1.52 of odds ratio (OR) for gingival symptoms for those who smoked only without drinking in middle schools. In addition, we had ORs of 1.29 or 1.69 for those who drank only without smoking, or who smoked and drank in the middle schools, respectively, compared to nonsmoking nondrinkers. Risk of gingival symptoms for those who drank only or who smoked and drank in high schools were 1.18 or 1.17 times higher than nonsmoking nondrinkers. Conclusions: Smoking and drinking status among the adolescents are the risk factors to develop gingival symptoms. The problem of smoking and drinking in the adolescents should be considered when establishing the policies and institutions to improve oral health targeting the adolescents.
Le, Thi Huong;Nga, Thi Thu Vu;Nguyen, Ngoc Dung;Le, Thi Thanh Xuan;Kim, Bao Giang;Phan, Thi Hai;Doan, Thu Huyen;Luong, Ngoc Khue;Nguyen, Tuan Lam;Hoang, Van Minh;Pham, Thi Quynh Nga
Asian Pacific Journal of Cancer Prevention
/
v.17
no.sup1
/
pp.17-23
/
2016
The aim of this paper is to report the rate of current and ever cigarette smoking and explore correlates of current cigarette smoking among adolescents aged 13-15 in Viet Nam. This analysis was derived from GYTS survey, which comprised of 3,430 adolescents aged 13-15, conducted in 2014 in 13 cities and provinces of Viet Nam. We calculated the weighted rates of current and ever cigarette smoking and reported patterns of smoking behavior. We also performed logistic regression to explore correlates of current cigarette smoking behavior. The weighted rate of ever cigarette smoking was 9.5% (95% confidence interval (CI): 8.5 %-10.5%), in which the weighted rate among males (15.4%; 95% CI: 13.6%-17.0%) was higher than that among females (4.2%; 95% CI: 3.3%-5.1%). The weighted rate of current cigarette smoking was relatively low at 2.5% (95%CI: 2.0%-3.0%) with higher weighted rate among males (4.9%; 95% CI: 3.8%-5.9%) compared to the corresponding figure among females (0.2%; 95% CI: 0.0 %-0.5%). Current cigarette smoking was significantly higher among males than females, in students aged 15 versus 13 years old, and in students who had several or all close friends smoking and students with daily observation of smoking at school. For greater smoking reduction outcomes, we recommend that tobacco interventions for adolescents should consider targeting more male students at older ages, establish stricter adherence to school-based banning of cigarette smoking, engage both smoking and nonsmoking adolescents and empower adolescents to resist peer smoking influence as well as changing their norms or beliefs towards smoking benefits.
The purpose of this study is to investigate the changes in smoking rates and smoking cessation plans before and after the cigarette price increases in 2015. Therefore, based on the National Health and Nutrition Survey, this study analyzes the correlation of the change in smoking rate and cessation plans with sociological variables (gender, age, income quintile, occupation, education level, hypertension, diabetes) and health behaviors (drinking, stress perception, obesity) in 2013 before the cigarette price increases and in 2015 and then in 2017. Results indicated that the smoking rate in 2013 was 23.3%, the smoking rate in 2015 was 20.5%, and the smoking rate in 2017 was 21.0%, indicating that the smoking rate decreased compared to before the cigarette price was raised. Among the sociological variables, the cigarette price increases showed a difference in the smoking rate of income, occupation, and education level, and health behavior was found to have no significant effect on smoking rate. In addition, the cigarette price increases showed a temporary effect on the increase in the smoking cessation plan, but the increase in the smoking cessation plan did not necessarily lead to decrease the smoking rate. Therefore, in the future, efforts will be needed at the national level to provide customized smoking cessation programs by gender, age, and social factors so that the smoking cessation plan can lead to decrease the smoking rate. In addition, Research on health behaviors that were not identifited in this study should also be conducted. We hope that this study will help the prediction of the impact of smoking rate in case the price increases policies are considered or implemented.
Objective: This study assessed the association between subjective body image or objective body mass index (BMI) and the risk of daily smoking in Korean adolescents, with a purpose of identifying the most suitable models. Materials and Methods: Using the 2013 9th Korea Youth Risk Behavior Web-based Survey data for 72,435 students, odds ratios were calculated for daily smoking in the past month, according to the subjective body image and calculated BMI using a respective multiple logistic regression model. The combined effect of these two factors was also analyzed by pairing a BMI category with a subjective body image category, using odds ratios for the same event within each sex group. Results: Among the surveyed students, 7.2% of boys and 1.8% of girls were classified as daily smokers. Students who perceived themselves as being very obese tended to be at lower risk of daily smoking (OR=0.61 in boys with 95% CI=0.47 to 0.79; OR=0.66 in women with 95% CI=0.47 to 0.93). In addition, boys within the obese or overweight BMI category showed a lower risk of daily smoking (OR=0.86, 95% CI: 0.77-0.96). Lean BMI was significantly associated with higher odds ratios for daily smoking only in female students (OR=1.24, 95% CI: 1.02-1.52). When pairing these two objective and subjective factors, results suggested that subjective body image has a greater effect on daily smoking than BMI in both boys and girls. Conclusions: In both male and female students, subjective body image had a greater effect on daily smoking than body mass index. A model using the combination of BMI and subjective body image was the best fit in girls, in contrast to the model using subjective body image only best suitable in boys, for the prediction of daily smoking. These results including several factors associated with daily smoking in Korean students, provide useful data for the development and implementation of smoking intervention and cessation programs for adolescents.
Purpose: The purpose of this study was to investigate the influence of physical activity on smoking experience and smoking intensity in Korean high school students. Methods: This cross sectional study used secondary data from the 2013 Adolescent Health Behavior Online Survey. A total of 35,905 high school students were included in the study. Logistic regression was used for analysis of the influence of moderate and vigorous physical activity on smoking experience in a month and smoking intensity. Results: Adolescents with low (Adjusted OR: 1.242, 95% CI: 1.075~1.436) and moderate level (Adjusted OR: 1.094, 95% CI: 1.005~1.189) of moderate physical activity had more smoking experience than reference group, high level of physical activity. Also, smoking experience was more prevalent adolescents with low (Adjusted OR: 1.191, 95% CI: 1.064~1.333) and moderate level (Adjusted OR: 1.134, 95% CI: 1.039~1.237) of vigorous physical activity. Heavy smoking was more prevalent among adolescents who had low level of vigorous physical activity (Adjusted OR: 1.912, 95% CI: 1.347~2.712). Conclusion: Based on the results of this study, physical activity has significant influence on smoking experience and smoking intensity. Therefore, physical activity should be included smoking cessation and smoking prevention program for High School Students.
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