• The Journal of Korean Society for School & Community Health Education
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• v.9 no.1
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• pp.143-156
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• 2008

Objectives: This study was performed to examine the effective health education measures and health education programs for college students and also investigated the demands of restriction on drinking and smoking behavior in public area at the school level. Methods: The data were collected from 446 students of five universities located in Seoul and analyzed with SPSS WIN 10.0 program. Results: 1) Current drinkers were average 87.7% (male 90.1%, female 85.3%) and binge drinker was 68.4% (male 76.5%, female 60.2%). Among all drinkers, 19.4% drank more than eight times per month. As for the rate of smoking, 50.9% among the male student, and 12.1% among females were smokers. Among all smokers. the largest group (41.5%) smoked between >$11{\sim}20$ cigarettes per day. Many of the students started smoking in their middle schools (male 29.8%, female 51.5%). It implies that smoking prevention programs need to be emphasized in these schools. 2) The analysis of the correlation between drinking and smoking shows that no smoking students who drank were 66.2%, but abstainer who is smoker were only 5.7%(p=0.004). Alcohol consumption frequency and amount of smokers were higher than those of nonsmokers (p=0.000). The rate of attempts to reduce drinking was 38.1%, mainly for health reason. More than 34.5% of smoking student had made attempts to quit smoking, but succeeded only 16.9%. 3) As for the needs of moderate drinking and smoking cessation education, 67.8% among female students and 53.6% among male demand special education programs. About effective health education measures on drinking and smoking, 49.3% of drinkers and 35.2% of smokers had an inclination for health educator, and the next were video, campaign and pamphlet. 4) The largest group (45.0%) of respondents had agreed to regulate on drinking behavior, and especially 74.5% of them wants to ban the practice in most public area in school. 35.7% among female students and 27.0% among male desired to extend the non-smoking area on whole campus. The health policy for college students, through various ways, such as education, counseling service, and special program on orientation, should be employed. For public health perspectives, university and college community had to institute the detailed enforcement regulation on drinking and smoking.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.258-266
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• 2012

This study was conducted to investigate the differences between smokers and non-smokers' oral hygiene and college students' smoking awareness. The survey was carried out based on the 260 college students enrolled in four-year universities located in Kyungbuk, Daegu, Gangwon-do. Collected date used the SPSS 17.0 to perform the frequency and cross-analysis. 1. The daily smoking amounts of less than half pack and the smoking duration of more than 1 year and less than 3 years were to be the highest. The initiation of smoking was triggered by the curiosity and the proximal social environment. The reason of smoking was to relieve stress and habitual smoking respectively. 2. There was a significant difference between smokers and non-smokers' tooth brushing time, regular dentist visit, recent dental admission, the purpose of dental visits, scaling and oral health education. 3. There was a significant difference between smokers and non-smokers' awareness of oral hygiene in the subjective oral hygiene status. 4. There was a significant difference between smokers and non-smokers' awareness towards the impact of second-hand, after meal and one or two cigarette smoking. Based on the above results, smokers lack the awareness of smoking and oral hygiene compared to non-smokers. Therefore, the activation and the development of programs for the smoking and oral hygiene education targeting college students are considered to be necessary.

• Journal of Korean Public Health Nursing
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• v.33 no.3
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• pp.354-363
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• 2019

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.

• Journal of Preventive Medicine and Public Health
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• v.39 no.1
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• pp.30-38
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• 2006

Objectives: We examined whether the neighborhood socioeconomic position predicts the smoking rates after adjusting for individual socioeconomic position indicators. Methods: Data were obtained from the 2001 Seoul Health Indicators Survey. The neighborhood socioeconomic position was the residential distribution of the high class (power elites), as measured by the location quotients (LQ) for each administrative dong (district). A high LQ denotes a high neighborhood socioeconomic status. The individual socioeconomic position included education, occupation and income. Age-adjusted smoking rates according to the LQ level were computed with the direct method. The total number of subjects in this study (26,022 men and 28,007 women) was the reference. A multilevel logistic regression analysis was conducted with the individuals at the first level and the neighborhoods at the second level to estimate the odds ratios of smoking with 95% confidence intervals. Results: For men, the age-adjusted smoking rates increased with a decrease in the LQ. For women, the relationship between the age-adjusted smoking rate and the LQ was not clear. The odds of smoking for both genders were greater among those subjects with lower incomes and lower education. The manual occupational class had greater odds of smoking than the non-manual class for the males, while the odds ratio of smoking among females with a manual occupation tended to be lower than those females with a non-manual occupation. For the males, the LQ levels independently predicted smoking after adjustment for individual income. However, this relation between the LQ and smoking in males was explained by full adjustment for the individual socioeconomic position indicators (education, occupation and income). Conclusions: A low level of neighborhood socioeconomic position was associated with higher smoking rates among the men residing in Seoul. This association between the neighborhood socioeconomic position and smoking in men was explained by the individual socioeconomic position. Anti-smoking efforts to reduce geographical inequality in smoking should be directed at reducing the smoking rates between the individuals with different socioeconomic backgrounds in the metropolitan city of Seoul, South Korea.

• Journal of Korean Public Health Nursing
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• v.18 no.2
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• pp.330-341
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• 2004

Parental smoking status and smoking environment do not only affect children's health through exposure to nicotine, but are also related to children's smoking attitude, intention and knowledge of smoking. Since this study was conducted to examine a relationship between family members smoking and smoking attitude, intention and knowledge of their children, little is known about psychosocial factors influencing smoking among Korean preschool children. This study aimed to determine the psychosocial factors (sociodemographic factors, education for smoking cigarette, knowledge about smoke cigarette) influencing smoking attitude and smoking intention, with a purpose of providing directions for future education programs for Korean preschool children. A cross sectional sample of 840 children, ages 4-7 years, living in a rural district were interviewed during August 6 - November 14, 2003. Among them, 834 children whose missing data were less than $10\%$ were included the analysis. The independent variables included sociodemographic characteristics and education for smoking cigarette, while the dependent variables were knowledge about smoking, the children's smoking attitude and their intention of smoking. The data on sociodemographic characteristics were analyzed using descriptive statistics including frequency, percentage, mean, and standard deviation. The correlations between the independent variables and attitude and intention of smoking were analyzed using chi-square test, t-test, and logistic regression. The results of this study were s follows. The factors that were found to be significantly correlated to smoking attitude include mother's smoking $(x^2=4.86,\;p=.03)$, grandmother's smoking $(x^2=5.56,\;p=.02)$, and knowledge of smoking cigarette $(x^2=-5.13 p<.01)$. The factors that were significantly correlated to the intention of smoking include gender $(x^2=.08,\; p=.02)$, education for smoking$(x^2=17.65,\;p<.01)$, mother's smoking $(x^2=19.05,\; p<.01)$, grandmother's smoking $(x^2=17.67,\; p<.01)$, and knowledge$(x^2=-2.17,\;p=.03)$. The children who had non smoking mother were more likely to have negative attitude (OR=2.29). The children who had a higher knowledge about smoking were more likely to have negative attitude (OR=1.58). The findings suggest that a smoking prevention program specific for preschool children is necessary to prevent early onset of smoking. The findings also suggest that the program should involve children's family members who influence their smoking attitude and intention.

• Korean Journal of Community Nutrition
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• v.22 no.3
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• pp.228-237
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• 2017

Objectives: The purpose of this study was to investigate the smoking status among adult workers, and current status of sugar intake. Methods: The survey included 500 men working in Gyeonggi-do from October to November in 2016. Questionnaire items covered their age, working status, smoking status, eating habits, eating behaviors, snack consumption status, habits and behaviors related to sugar intake. All data were analyzed by SPSS program (Ver. 23) and descriptive statistics was performed; a t-test, ${\chi}^2$ test, One-way ANOVA and Scheffe test were used for post-hoc test. Results: The study results showed that eating habits and behaviors of non-smokers were better than those of smokers. The frequency of daily snack consumption was the highest in smokers compared to and non-smokers. The smokers' favorite taste after smoking was 'Sweet'. The average score of sugar-related nutrition knowledge was higher in non-smokers compared to smokers. Non-smokers had better recognition of 'sugar reduction', and smokers were more likely to eat sweet foods, respectively. On the other hand, non-smokers could observe that they were trying to control themselves for health reasons. According to the results of the study, non-smokers showed better eating habits and dietary habits and consumed less sugar. Also, it was found that non-smokers tried to drink more water than beverages and refrain from eating sweets to reduce their sugar intake. Further, the most of the bread, coffee and beverages were also consumed at a lower frequency by non-smokers compared to smokers. Conclusions: This study results showed that smoking and sugar consumption were closely related. Therefore, adult workers should actively promote and learn so that they can maintain healthy and suitable dietary habits through reduction of sugar consumption.

• Korean Journal of Health Education and Promotion
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• v.26 no.2
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• pp.1-13
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• 2009

Objectives: This study identified how personal characteristics, family environment, governmental policy for the prevention and cessation of smoking might influence on adolescent smoking. Methods: This study used data from the 2006 Korea Youth Risk Behavior Web-based Survey of 71,404 middle school and high school students, giving a response rate of 90.9%. We selected 61,508 adolescents subjects of the final analysis without missing data on independent variables and dependent variables which are used in this study. This study used $\chi^2$ tests and logistic regression models. Variables were added to the regression model in three groups using a hierarchical approach.Results: Adolescents were significantly more likely to become current smokers if they were boys, were in a higher grade, and had lower academic achievement. Adolescents experiencing stress and depression were associated with increased risk of current smoking. Adolescents with single parents or students of non-living with parents comparing with students of living with parents showed the high possibility of smoking. Lower father's education was associated with increased likelihood of current smoking. Adolescents who were exposed to smoking at home were more likely to smoke. Adolescents without contacting with the antismoking media campaign was associated with increased likelihood of current smoking. Conclusion: Promoting antismoking media campaigns targeted at adolescent is required, and the smoking prevention education which are proper for subjects are required. Proper plans which could decrease the exposure of secondhand smoking should be established.

• Korean Journal of Health Education and Promotion
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• v.4 no.2
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• pp.71-94
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• 1987

Aiming to investigate nutrient intake and food habits influenced by smoking for female college students in Seoul, the questionnaire survey for 763 students was carried out. The results of the survey was summarized as follows: 1. 9.7% of students were found as the current smokers and 18.9% of students had experienced of smoking, however stopped smoking at present(experienced smokers) respectively. 2. In the current smokers, they started smoking with friends at the first (58.9%), alone (27.4%), and with seniors (11.0%) respectively. The psychological frustration (52.2%), curiosity (28.4%) respectively motivated smoking behavior at the beginning. The most had smoking usually at the entertaining place such as restaurant. Only 6.4% of current smokers consumed more than 10 cigarettes daily, and 55% of current smokers inhaled deeply into the lung while they smoked. Even 26% of current smokers explained their intention of not smoking after marriage, and also about 95% of current smokers explained to stop smoking in the case of pregnancy. 3. It was found as the fact that the school age, economic status, and parental smoking affected their prevalence of cigarette smoking. The higher their schoolage, the higher smoking showed; the more their money spent and the lower father smoking showed ; the more their money spent and the lower father's educational level, the higher smoking showed; the more drink, the higher smoking showed. 4. The value evaluation of cigarette smoking also affected the prevalence of cigarette smoking. Of the students recognized advantageous parts of smoking, the prevalence of cigarette smoking was higher. 5. Logistic regression analysis was to determine the most effective factor which determined prevalence of cigarette smoking. The most effective factor was value evaluation of cigarette smoking. The order of effective factors was health value of cigarette smoking, their drinking capacity and the value evaluation of change in body weight due to smoking and smoking's advantages. 6. Cigarette smoking showed signs of affecting to food habits. In the case of smoking, the missing rate of taking regular meals was higher, and the frequency rate of taking regular meals was lower. Also, smokers took meals less regularly. Even the smokers took less candy than non-smokers, however, smokers liked to take more coffee, alcohol, and hot tasting food than non-smokers. 7. Smoking seemed to affect the nutritional status. It was found that smokers took many kinds of nutrients insufficiently, therefore their calory intake by age was not reached to RDA.

• Research in Community and Public Health Nursing
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• v.15 no.2
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• pp.277-288
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• 2004

Purpose: This study was to provide basic information for preventing high school students from smoking by examining their actual smoking condition and their knowledge and attitude about smoking. Method: The subjects were 515 students selected from six(6), high schools in Jecheon. Data were collected using a questionnaire from the 1st to the 17th of December 2002. The author prepared the tool by modifying the scale of knowledge and attitude about smoking developed by Moon(2001). Data were analyzed with SPSS/WIN program using frequencies, percentages, $x^2$-test, t-test, ANOVA. Duncan test and Pearson's correlation coefficient. Result: 1. The percentage of ex-smoking students was 29.9% of male students and 18.6% of female ones. The percentage of currently smoking students was 23.9% of male students and 3.0% of female ones. The percentage of non-smoking students was 46.2% of male students and 78.4% of female ones, 2. There were not significant differences in smoking knowledge according to smoking status in male and female students. 3. There were significant differences in smoking attitude according to smoking status in male(F=32.70, p=.000) and female(F=11.15, p=.000) students. 4. In smoking status according to general characteristics, there were significant differences according to the type of school($x^2$=32.93, p=.000), grade($x^2$=11.91, p=.018), educational level of the father($x^2$=30.52, p=.000) and the mother($x^2$=14.23, p=.027), monthly allowance($x^2$=17.19, p=.028), harmony of family members($x^2$=15.23, p=.019), school life($x^2$=26.96, p=.00l) and school record($x^2$=30.24, p=.000). 5. In smoking status according to smoking-related characteristics, there were significant differences according to experience in cigarette purchase($x^2$=150.04. p=.000), experience in errands for cigarette($x^2$=20.00, p=.000), knowledge of cigarette price($x^2$=72.52, p=.000), close friends' smoking($x^2$=107.41. p=.000) and smoking of brothers and sisters($x^2$=16.97, p=.002). 6. There were significant correlation between knowledge and attitude about smoking in the whole students(r=.337. p=.000), ex-smokers(r=.324. p=.000), non-smokers(r=.369. p=.000) but there was not a significant correlation between knowledge and attitude about smoking in current smokers(r=.128. p=.30l). Conclusion: Smoking prevention education should considered students' smoking status. Current smokers need smoking prevention education aiming to change their attitude toward smoking in order for them to reduce smoking and to practice smoking cessation.

• Research in Community and Public Health Nursing
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• v.13 no.2
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• pp.387-398
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• 2002

This study was conducted to provide basic data to develop a smoking prevention and non-smoking education program. Data were collected, using a questionnaire, from 438 male middle school students living in Chunchon, Kwangwon- do. The data collection period was from September 2 to 30, 2000. The questionnaire used to measure the subjects' knowledge and attitude toward smoking was based on the guideline for the contents of tobacco smoking surveys for the general population designed by WHO. The collected data were analyzed using the SPSS-Win program. The results were as follows. 1. The subjects' average score for smoking knowledge was 58.52 out of 100 points. 2. The subjects' average score for attitude toward smoking was 63.54 out of 100 points. 3. Smoking knowledge of the subjects was significantly different by their grade (F=9.187, p=.000), father's smoking behavior (t=2.261, p= .024), aware of harmfulness of smoking (F=8.911, p=.000). The subjects' attitude toward smoking was significantly different by mother's smoking behavior (t=-2.557, p=.011), brother's smoking behavior (t=-3.959, p=.000), having a smoking friend or not (t=-4.422, p=.000), subjects' smoking experience (t=-8.304, p=.000), present smoking behavior (t=7.001, p=.000), quantity of smoking (F=3.297, p= .041), abstinence period of smoking (F=3.858, p=.013), thinking about smoking behavior (F=20.999, p=.000), aware of harmfulness of smoking (F=20.964, p=.000), and amount of drinking (F=8.316, p=.000). 4. There was a significant correlation between subjects' knowledge and attitude toward smoking (r=.514, p=.000).