The purpose of this study is to examine the associated risk factors for adolescent cigarette smoking. In February 1995, a total of 1793 students from 17 general high schools in Seoul were assessed with a self-completing questionnaire pertaining current smoking status and school.family.peer environmental factors. The results are as follows; 1. The overall proportion of current smoker among students in the study was 17.3%; 27.7% in males and 6.6% in females. 2. There was significant association between smoking status and all school environmental factors (ranks at school, satisfaction at school, study hours after school, extracurricular activity) examined. 3. Siblings smoking in males and family structure in females were significantly associated with the smoking status of students. 4. Functional aspect of family environmental factors, such as APGAR score, parental supervision, attachment to father or to mother were related to smoking status of students. 5. Association with friends who smoke was significantly associated with smoking status of students. 6. In males, association with friends who smoke, ranks at school, siblings smoking were significant positive predictors and APGAR score, parental supervision, attchment to mother were significant negative predictors. In females, association with friends whosmoke, ranks at school, satisfaction at school were significant positive predictors and parental supervision, attchment to father were significant negative predictors. These findings suggest that strategies that influence smoking behavior need to be directed not only to the individual student but also to their peer group, family and school environment.
Objectives: This study was performed to investigate the influence of family factors on drinking and smoking of middle-aged men. Methods: This study used data from the fourth-wave of the Korean Welfare Panel Study, which was collected by the Korean Institute for Health and Social Affairs and the Social Welfare Research Center of Seoul National University. This study was conducted on 3,084 men who were between 30 and 59. Results: The family factors, except for living with children, affected drinking, heavy drinking, smoking, and current smoking, after controlling for age, education, employment status, and family income. Marital status had statistically significant influences on heavy drinking, smoking, and current smoking. Living without family had influences on drinking, and heavy drinking. family satisfaction affected heavy drinking, smoking, and current smoking. The effects of family conflicts were also statistically significant. Conclusions: Based on the results, this paper can suggest that the projects of moderation in drinking and smoking are required to consider family factors more and the plan of building up family resources should be considered in the whole aspects of the society.
female smoking especially in the population of teenage girls is regarded as an important health problem as the young female smokers are increasing sharply. We surveyed 895 teenage girls(15-19 years of age) living in a rural community in Korea for their cigarette smoking habits and the relationship between smoking status of subjects demographic variables and view on other's smoking. Of the subjects 11.6% stated that they were currently smoking and 67.3% of current smokers began smoking regularly sometimes before high school. The average smoking period of current smokers waas 20.6$\pm$1.5 mounts and they smoked 7.5 cigarettes/day on an average. Their main reason for starting to smoke was curiosity. The parents attitude for their offspring was more undemocratic in smokers. Smokers had lower academic sachievement and they had the family system such as single parent more undemocratic in smokers. Smokers had lower academic achievement and they had the family sysstem such as single parent family or divorced parent family more often than did non-smokers. Smoking status of subjects was positively related to that of their parents siblings and friends respectively. Smokers accepted others' smoking more positively than did non-smokers. Above results show that cigarette smoking is prevalent among teenage girls living in a rural community and smoking of subjects are affected by demographic variables and their view on others' smoking. Therefore the prevention the prevention programs aimed at adolescent smoking should be started before middle school and they should be included all influencing environmental factors such as family school and mass media.
This study conducted descriptive literature review on adolescent smoking and the related factors to realize significance of adolescent smoking onset in Korea and to identify risk factors of smoking incidence. Korean adolescent smoking status was generated based on the cumulated data of the Korean Association of Smoking and Health. Risk factors of adolescent smoking were identified based on 18 studies written in English, with cross-sectional research design and published as a peer-reviewed journal article between 1994 and 2003. The results were as follows. 1. Korean adolescent smoking rate was the highest among OECD affiliated countries; in particular, male adolescent smoking incidence was very serious. 2. Risk factors related to smoking of adolescent population were personal factor, friend factor, family factor, and mass-media factor. Demographic characteristics, attitudes on smoking, and willingness of smoking, and health behaviors were selected as personal factor of smoking. 3. Best friends smoking was a strong factor of students' smoking set. Prevalent popularity of smoking in peer-group allowed students to feel free to smoking. 4. Concerning family factor related to smoking status, parents' smoking and sibling's smoking were significant indicators of adolescent smoking status. 5. Seeing smoking behaviors and scenes through films, TV shows, drama, and advertisement was a significant risk factor of adolescent smoking status.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.11
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pp.446-457
/
2019
The purpose of this study was to analyze the association between family members and adolescent boys smoking. The data were evaluated by frequency analysis, 𝑥2 test and logistic regression analysis using 27,276 people who responded to the 14th(2018) Korean Youth Risk Behavior Survey. Among male students, the nonsmoking rate was 91.5% and the smoking rate was 8.5%(2.5% of occasional smoking and 6.0% of frequent smoking). The study results showed that the smoking status of male students was varied significantly according to the number of smokers among the family members(p<0.001). Meanwhile, smoking based on the characteristics of socio-demographic factors was affected by grades, school records, economic status, and parents' educational background(p<0.001). Smoking by health factors showed a significant difference in alcohol consumption, suicidal thoughts, depression experiences, stress recognition, frequency of breakfast consumption, level of fatigue after sleep, and subjective perception of health(p<0.001). Male smokers were more likely to smoke when two family members smoked than only one(p<0.001). These results confirmed that smoking in boys was affected by the smoking status of family members and suggested that the smoking cessation program of family smokers can be effective in designing smoking cessation prevention and smoking cessation projects.
Objectives : The purpose of this study is to assess oral health perception, oral health behavioral and family smoking status according to smoking experience in a part of high school students. Methods : A survey is conducted with a total of 648 first grader at high school in Dae-Gu city from 1st to 30th September, 2009. The results are as follows. Results : 1. 95.5% of respondents are 'smoking is very harmful for health' and the majority of smoking-related disease are lung cancer, oral disease, and oral cancer. 2. 127 respondents have experience in smoking and 62 respondents are smoking at that time. 59.7% respondents have 1 year smoking history and the majority of respondent are 5 cigarettes/day. 67.8% respondents are under 5 cigarettes/day. 3. In oral health behavioral by smoking, the majority of smokers' teeth brushing are 3 times, 47.2% and 2 times, 27.6%. The majority of nonsmoker's teeth brushing are 3 times, 47.0% and 2 times 26.5%. The results of teeth brushing time are significantly different between smokers and non-smokers(p<.001). The majority of smokers and non-smokers have not experienced about scaling. It is significantly different between 2 groups(p<.05). 4. The smoking rate of father and grandfather in smokers is higher than non-smokers. It is significantly different between 2 groups(p<.005). 5. The need for oral management in oral health education is gum treatment and dental caries treatment. 22.8% smokers and 25.7% non-smokers require to get gum treatment. 18.1% smokers and 20.2% non-smokers required to get dental caries treatment. Conclusions : Also Future longitudinal research is required to develop oral health promotion program contents according smoking-oral health.
Background: Smoking behavior is related to numerous factors, including psychosocial parameters. This study investigated the association between family context factors and smoking among male adolescents. Materials and Methods: A cross-sectional, school-based study was conducted during 2014. The study sampled 900 students from intermediate and secondary schools in Madinah City, Saudi Arabia. Data concerning smoking status, sociodemographic, parental and friends' smoking behavior, and family factors were collected using a self-administered questionnaire. These data were employed to estimate the prevalence of smoking using appropriate statistical analyses including multivariate logistic regression. Results: Of 900 students, 870 completed the study questionnaire (96.7%). Of the respondents, 181 students (20.8%, 95% CI=18.1%-23.5%) were current smokers, and a much higher prevalence was observed among adolescents with most or all of their friends smoking (48.1%) and those living with neither parent (47.4%). The adjusted risk of smoking increased significantly among adolescents who lived with neither parent (OR=3.3; 95% CI=1.1-9.2) and among those who reported little or no parental supervision (OR=1.5; 95% CI=1.0-2.1). Conclusions: Family context factors are associated with an increased risk of smoking behavior among male adolescents in Saudi Arabia.
Journal of Korean Academy of Fundamentals of Nursing
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v.15
no.1
/
pp.71-79
/
2008
Purpose: The purpose of this study was to identify effects of family support and quality of life on smoking cessation in patients with coronary artery disease. Method: Data were collected using a self-reported questionnaire included smoking history, family support and quality of life (QOL). The participants were 159 male patient with coronary artery disease who were current smokers or ex-smokers. A logistic model was developed to estimate the likelihood of current smoker or ex-smoker. Results: Of the participants, 28.3% were current smokers and 71.7% were ex-smokers. The mean score for family support was 27.41 for positive support and 23.11 for negative support. The mean score for QOL was 50.48. There were significant differences in QOL according to smoking status. The predictors of smoking cessation were social interaction QOL and self-control QOL, and duration of smoking. The model correctly classified 89.5% of ex-smokers and 44.4% of current smokers and the correct classification for the total was 76.8%. Conclusion: Social interaction QOL, self-control QOL and duration of smoking were significant variables in prediction of smoking cessation. QOL should be considered in developing smoking cessation interventions. It is advisable to also examine the mediating effect of family support on quality of life.
The Journal of Korean Society for School & Community Health Education
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v.23
no.2
/
pp.65-76
/
2022
Objectives: The purpose of this study is to investigate the factors that affect the smoking type among those who have used regular cigarettes, liquid or cigarette-type e-cigarettes. Methods: The subjects of analysis were 6,081 people who had smoked regular cigarettes or e-cigarettes. For data analysis, SPSS ver.25.0 statistical package program was used. Multinomial logistic regression analysis was performed to find out the factors affecting smoking type. Results: Factors affecting the experience of using e-cigarettes compared to regular cigarette smoking are gender and class. Academic performance, living with family members, drinking experience, and secondhand smoke in school. The factors influencing dual use compared to regular cigarette smoking were gender, class, academic performance, economic status, living with family, drinking experience, and experience of secondhand smoke in school. Smoking cessation attempts had an effect on dual use compared to regular cigarette smoking. Conclusion: Smoking cessation experience had a greater effect on e-cigarette use than regular cigarette smoking.
There is growing evidence that substance use such as tobacco or alcohol consumption influences health disparity among adolescents. Previous research papers have shown an inconsistency in the relationship between socio-economic status (SES) and substance use in adolescents. However, little is known about socio-economic differences in unhealthy behaviors among Korean adolescents. The purpose of the present study is to explore associations between SES and substance use in Korean adolescents. The analysis was performed using data from the 2009 Korean Youth Risk Behavior Web-based Survey (YRBS), which included a nationally representative sample of middle and high school students. Drinking/heavy drinking and smoking/daily smoking behavior indices were used for dependent variables, and perceived economic status, family affluence score, parents' education were used for independent variables. Chi-square test were used to compare tobacco and alcohol consumption among 3 SES groups. Logistic regression models were used to identify statistically significant socio-economic factors after adjusting other covariates. Higher perceived economic status and higher family affluence were associated with higher rates of smoking, daily smoking, drinking, and heavy drinking, while lower level of parents' education was related to higher use of tobacco and alcohol. Socio-economic status significantly influences health behaviors in adolescents, and it may consequently affect health disparity in their adulthood. Therefore, there is a need of continuous monitoring and follow-up research of health disparity among adolescents.
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