Purpose: The purpose of this study was to identify the relationship of knowledge and attitude to temptation toward cigarette smoking in adolescents. Methods: A survey was conducted using a 52-item questionnaire in 2 high school settings. Descriptive statistics, t-tests, ANOVA, post hoc analysis and Pearson correlation coefficients were used with SPSS WIN version 14.0 to analyze the data. Results: There were significant differences in attitude toward smoking and smoking temptation depending on gender, academic performance, religion, current smoking status, parental responses toward smoking, initiation of smoking, and the number of friends who smoke (p<.001). The level of smoking knowledge was not related to any of general characteristics as well as attitude toward smoking and smoking temptation. However, negative attitude toward smoking was moderately correlated with reduced smoking temptation (r=-.608, p<.001). Conclusion: Adolescents' attitude toward smoking and coping ability against smoking temptation were influenced by various factors related to smoking behavior and social situations, rather than by the level of smoking knowledge. In order to develop an effective smoking prevention and cessation program for adolescents, various strategies to change attitudes toward smoking should be included.
Objectives: This study performed to analyze general characteristics, environmental factors, and health promoting lifestyle by smoking behavior among university students. Methods: In 2011, interview survey was conducted with 700 Korean students of university and college in located 7 metropolitan cities and the biggest province (Gyeonggido). To examine the factors related to smoking behavior, it collected environmental factors, health promoting lifestyle, and mental health. Multiple logistic regression analysis for survey data identified the difference of smoking behavior. Results: The 20.4% of university students was current smoker. Smoking rate of male was higher than that of female. The university students residing in Seoul and surrounding areas were less likely to have smoking behavior than them residing in local areas. In multiple regression models, difference by gender, academic year, college level, college type, region, secondary smoking exposure time, health status, monthly drinking, alcohol use disorder, and eating breakfast remained significantly (p<0.01, p<0.05). Conclusion: Future efforts should be focused on association between health risk factors and environment factors in physical, mental, and social aspects. To achieve this, we will need to provide the integrated health promotion program to decrease smoking problems of university students.
Objectives: To obtain a more intensive understanding smoking behaviors of young adolescent in the contexts of schools which they attend, this study examined the effects of individual and school level factors divided into psychological and social factors respectively. Methods: Multilevel logistic regression analysis was used to test the effects of school smoking rates on 1 year smoking experience of individual pupils in a sample of 3,449 students from 100 middle schools in Korea. Results: The results of multilevel analysis revealed the importance of social factors in three environments. Especially the social factors in school level, which were sense of school membership and school smoking rate, explained the variances between groups dropping the school effect from 0.194 to 0.046. Conclusion: This study suggests that adolescents' smoking behaviors are related to the multi dimensional and multi level factors. To reduce young adults' smoking rate, school level intervention should not be ignored.
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.
Journal of the Korea Academia-Industrial cooperation Society
/
v.17
no.8
/
pp.465-476
/
2016
This study was performed to survey factors related to smoking and smoking conditions among college students in H-gun. Data were collected and analyzed through a questionnaire from 181 college students in H-gun between the 26th and 30th of October, 2015. Using SPSS/WIN statistics 18.0, the data was analyzed by $X^2-test$, t-test, Spearman rho Correlation and Multiple Logistic Regression. There was a significant positive correlation among body weight, height, smoking cessation confidence, depression and smoking status. There was a significant negative correlation between smoking attitude and smoking status. The factors affecting smoking status explained 62.0% of the smoking status. The factors related to smoking were negative smoking attitude (OR 0.717, 95% CI 0.543-0.945) and high level of smoking cessation confidence (OR 1.281, 95% CI 1.117-1.470). It is necessary to improve smoking cessation confidence and increase negative smoking attitude in a smoking cessation program for college students.
Objectives: This study identified the factors associated with successful smoking cessation for 6 months at a smoking-cessation clinic of a public health center in an urban area. Methods: The subjects of this study were 670 visitors to the smoking cessation clinic of Dongjak-Gu public health center in Seoul, from September 6, 2005 to March 24, 2006. The 274 visitors of them responded to the questionnaire with registration, which contained the information related to the study except that of registered card for the clinic. A dependent variable was success or failure in smoking cessation during the 6 month-smoking cessation program, measured the status of smoking cessation in each week by self-report. Independent variable included demographic information, the characteristics in using the clinic, health status and smoking related behaviour, exposure to other smokers in daily life and motivation. Multiple logistic regression model was used to find the factors associated with success of smoking cessation. Results: The success rate in smoking cessation for 6 months was 33.6%. Five pretreatment characteristics were identified as univariate predictors of continuous abstinence. Finally, age, job, and practice oriented motivation were associated significantly with the success of smoking cessation for 6 months from a multiple logistic regression analysis. The lower socio-economic smokers such as people having lower literacy level, lower income people, unskilled workers, and recipients by Medical Assistant Program were more likely to fail in continuous abstinence for 6 months. Conclusions: In order to increase the success rate in smoking cessation clinics of public centers, counselors should activate self confidence and practice oriented motivation of participants for smoking cessation.
Objectives: The purpose of this study was to investigate the smoking status and related factors among adolescents in Korea. Methods: We used data from the 5-7th Korea National Health and Nutrition Examination Survey. The distribution of smokers and smoking status according to general characteristics was analyzed using complex chi-square tests. Multiple logistic regression was used to analyze the relationship between smoking experience and general characteristics by calculating the 95% confidence intervals. Results: There were 618 subjects who had experience smoking one or two puffs, the starting age of one or two puffs on smoking was 14.37 years old, the number of smoking days per month was 12.42 days, and the amount of smoking per day in a month was 7.59. Gender, residential area, income level, drinking experience, subjective health status, perceived stress level, continuous depression for more than 2 weeks, suicidal thoughts within a year, and age were significantly related to smoking experience. Conclusions: It is necessary to understand the smoking behavior of adolescents. It is important to lower the smoking rate among adolescents through the development and operation of systematic smoking prevention and smoking cessation policies at the national level, as well as the efforts of youth themselves to quit smoking.
The Journal of Korean Society for School & Community Health Education
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v.17
no.1
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pp.75-87
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2016
Objectives: The purpose of this study was to examine the relationships of the drinking and smoking behaviors of health science majors to their knowledge of and attitude toward drinking and smoking in an effort to determine the influential factors for their drinking and smoking. Methods: The subjects in this study were 380 selected health science majors in two four-year universities and a three-year college that were respectively located in Seoul and Chungcheong Province. A survey was conducted with structured questionnaires from September 1 to 15, 2015. As for statistical data analysis, a statistical package SPSS 18.0 was utilized. Results: There were significant differences between the male and female students in smoking(p=0.000), and no gender differences were found in drinking(p=0.754). The male students who both drank and smoked outnumbered the female students who did, and the female students who only drank outnumbered the male students who did. And the differences were statistically significant(p=0.000). There were statistically significant differences according to smoking and drinking in relationship with professors(p=0.020), peer relationship(p=0.035), drinking attitude(p=0.033, smoking knowledge(p=0.008) and smoking attitude (p=0.006). The factors that affected drinking were religion and the drinking of fathers, and the factors that exerted an influence on smoking were gender, academic year, form of residence, religion and the smoking of family. Conclusions: A lot of temperance and antismoking education programs should be provided for college students in their early school years in the form of peer teaching and in association with their major classes. Besides, they should be encouraged to join clubs related to temperance and antismoking, and professors should try to facilitate their relationship building.
The study purpose was to investigate psychosocial factors related to smoking among adolescent boys. The Theory of Planned Behavior provide the basis for the study. Twenty-five attitudinal beliefs, 9 normative beliefs and 20control beliefs were identified through questionnaire development. The data were analyzed using t-test and χ2-test. Thirty-three percent of 300 students were smokers. Most of the beliefs examined were significantly different between smokers(n=92) and nonsmokers(n=92). With respect to attitudinal beliefs, smokers responded less negatively on the items of bad health effects of smoking such as sore throat, headache, chest pain, risk of cancer and bad blood circulation(p<0.001), and decreased physical strength(p<0.05). Smokers believed less negatively on the items that smoking leads to bothering others, bad breath, yellow teeth and making them spend money(p<0.001). In contrast, smokers felt more positively on smoking as a means of stress management, relaxing, helping digestion(P<0.001). Smokers felt less pressure for not smoking from significant others. Especially mother, siblings, friends, girl friends, seniors of school were important sources of influence regarding subject's smoking. Smokers felt less confident in controlling the urge to smoke in several situations including; when they were with friends or asked to smoke by friends; after the meal, or drinking; when they were bored or stressed, upset, and when they felt unstable(p<0.001). Smokers also scored lower on specific skills to quit or control the urge to smoke as well as overall perceived control, compared to nonsmokers(p<0.001). These results suggest that interventions for adolescents incorporate diverse strategies to increase the perceived control over smoking in specific situations as well as overall perceived control, to help them realize and modify attitudinal beliefs, and to elicit support from significant others for not smoking. (Korean J Community Nutrition 3(3) : 358∼367,1998)
Purpose: This study was undertaken to identify factors related to quit-smoking intention based on the planned behavior theory among out-of-school youths. Methods: This study was a quantitative research, data were collected during Nov. 1. 2018 to Feb. 28, 2019, study subjects were 189 out-of-school youths in Youth support Center located in A, B, C area city. The data were analyzed using independent sample t-test and one-way ANOVA, Pearson's correlation coefficient, and multiple linear regression. Results: There was a significant differences of quit smoking intention according to age, weekly allowance, participate of antismoking program. There were positive correlations between quit smoking intention and attitude to non-smoking and perceived behavior control. In smoking cessation intention influenced by predictive variable, age, weekly allowance, attitude to non-smoking, and perceived behavior control explain 26.8% smoking cessation intention. Conclusion: We believe that findings from this study will help to develop the specific smoking cessation education program for out-of-school youth's health behaviors.
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