• Journal of the Korean Society of School Health
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• v.7 no.1
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• pp.57-71
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• 1994

I investigated actual conditions of smoking of teenagers who were randomly chosen middle and high school students. 1. Juvenile smoking 1) Parents' opinions of juvenile smoking Most parents do not want their children to smoke after growth : 88.6% of fathers (middle school students: 88.9%, high school students: 88.4%) and 95.1% of mothers (middle school students: 93.4%, high school students :95.5%). 2) Teenagers' opinions of smoking after growth The rate of students who will smoke after growth is 10.8% (middle school students: 12.0%, high school students: 9.9%): students in agricultural areas show the higher rate than those in cities. 3) Parents' opinions of their children's smoking now 1.5% of fathers want their children to smoke now (middle school students: 1.3%, high school students: 1.6%) and 1.1% of mothers do (middle school students: 0.6%, high school students: 1.5%). This shows that most parents do not want their children to smoke now. 4) Students' opinions of their friends' smoking now Students who want their friends smoke now cover 7.8% (middle school students: 7.1%, high school students: 8.4%). This rates are higher than those of parents shown in (3). And more high school students and more girl students gave the positive reponse than middle school boy and girl students, respectively. 5) Students' views of smoking "Look like an adult" covers the rate of 4.0% (boy: 7.8%, girl:3.6%) 6.7% of middle school students have this view, while 3.7% of high school students have. 16.1% of students had an experience of smoking during the last one year (boy: 29.9%, girl: 8.6%): this shows that the rate of the boy students is more than 3 times greater than that of the girl students and high students who experienced smoking last year covers 20.2%, while middle school students shows 10.9%. 6) Actual conditions of students' smoking The present rate of students' smoking is 22.4% (boy:38.3%, girl:13.8%): the rate of boy students is greater than that of girl students. Students who smoke more than pack of cigarettes a day cover 8.2% (boy: 17.5%, girl: 3.2%): 5.2% of middle school students (boy:11.4%, girl: 2.1%) smoke more than one pack while 10.7% of high school students do (boy:21.5%, girl: 4.2%). This shows that the rate of boy students' smoking is greater than that of girl students' smoking. 7) The rate of smoking of students' parents 75.4% of fathers (city: 74.5%, agricultural area:75.9%) smoke: and more than a half (62.4%) smoke more than a pack cigarettes a day. On the other hand, the rate of smoking mothers is 5.2%(city: 4.3%, agricultural area: 7.3%): the rate is higher in agricultural areas. 8) Opinions of smoking population in the future 61.4% of students answered that smoking population will increase, while 27.0% have the opinion that smoking population will decrease. 2. Opinions of the effects of smoking on health 1) Have you heard that smokers are likely to suffer from tuberclosis? 78.3% of students said yes (boy: 80.8%, girl: 76.4%): it is shown that the rate of boys is greater than that of girls. 2) Have you heard that smokers are likely to get out of endurance? 76.6% of students (boy: 69.3%, girl: 49.7%) answered yes: it is shown that the rate of boys is greater than that of girls. 3) Have you heard that heart-beats get fast when one smokes? 32.5% of students (boy: 35.5%, girl: 30.9%) answered yes: 32.2% in cities(boy: 33.0%, girl: 31.8%) and 33.5% in agricultural areas(boy: 41.8%, girl: 28.8%): and 28.7% middle students and 35.5% of high school students answered yes. 4) Have you heard that smokers are likely to have heart-diseases? 35.1% of students (boy: 34.0%, girl: 34.1%) answered yes: 35.3% in cities (boy: 37.2%, girl: 34.2%) and 36.7% in agricultural areas (boy: 39.0%, girl: 33.9%): 34.8% of middle school students and 35.4% of high school students. 5) Have you heard that smokers are likely to have a lung cancer? 91.4% of students (boy: 93.2%, girl: 89.9%) answered yes: 90.35% in cities and 94.2% in agricultural areas. 6) Have you heard that the life of smokers gets shorter? 94.3% of students (boy:94.6%, girl: 92.2%) answered yes. 7) Have you heard that pregnant smokers will deliver a baby with low birth weight? 29.6% of students (boy: 29.8%, girl: 29.4%) answered yes: the rates of boys and girls almost the same. 8) Have you heard that one feels calm when one smokes? 80.1% of students (boy: 81.8%, girl: 79.2%) answered yes: boys and girls showed almost the same rate. 3. Preventive measures Smoking people continued to increase all over the world because smoking not only mitigated emotional uneasiness such as loneliness, nervousness and so on, but also could be very helpful from the social perspective. This was so because they did not consider harmful effects of smoking on health, and victims. However, because any -one can have physical disorders caused by smoking, people should always keep in mind the following preventive measures. 1) Doctors or teachers should set an example of giving up smoking. Informing patients or students of harmful effects of smoking to persuade their family and relatives not to smoke. 2) Through mass media like newspapers, periodicals or broadcasting, to make people know harmful effects of smoking and not smoke. 3) To prohibit selling teenagers cigarette by law. 4) To prohibit smoking in public places like work places, offices, lecture rooms, recreation rooms, buses, trains and so on. 5) To decrease the rate of life insurance for non-smokers as in foreign countries and to give a warming of the harmful effects on cigarette packets or ads.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.21-28
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• 2017

This study aims to identify individual and familial factors associated with youth sexual experience by using the nationally representative sample data in South Korea. Specifically, we select 68,043 students in middle and high schools participating in the 2015 Korea Youth Risk Behavior Web-based Survey. Considering the complex survey design, we conduct a descriptive analysis and multiple logistic regression for sexual experience. The main results identify factors on sexual experience such as age, type of school, stress level, drinking, smoking, economic status, and cohabiting parents. In particular, the drinking and smoking behaviors are positively associated with sexual experience and the youth living with neither parent is more likely to have a sexual experience than those who lived two parents. In conclusion, the plan of sex education should consider the risk factors and the quality of sex education should be enhanced in order to build more appropriate sexual culture and behaviors among the youth.

• Journal of Korean society of Dental Hygiene
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• v.2 no.1
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• pp.115-129
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• 2002

The purpose of this study was to examine the actual dental hygiene status of workers in cement industry in an effort to serve as a basis for enhancing their dental hygiene. The subjects in this study were 420 laborers from the cities of Curi, Donghae and Samcheok who handled cement. As a result of conducting a survey, the following findings were given : l. The workers investigated found their working environment satisfactory, getting a mean score of 323. They also expressed a high job satisfaction with a mean score of 333. 2. They didn't have a big interest in oral health. By age group, those who were aged between 36 and 40, or who cared less about health management, showed a higher interest in oral health. Besides, the laborers who kept smoking for a longer period, or who drunk more, expressed greater interest. 3. The toothbrushing method was considered most important for periodontal health, by 45.0% of the workers, and the next most crucial one was regular dental examination, followed by refraining from smoking and staying away from sweet food in the order named. 4. Concerning daily mean toothbrushing frequency, 455% brushed their teeth three times a day on the average. More than half them didn't pay enough attention to toothbrushing. 5. Regarding scaling, the large number of the workers, 42.4%, had no experience to get their teeth scaled, 37.6%, the greatest percentage, didn't have their teeth scaled because it seemed to make their teeth painful or cold. 6. As fororal health education experience, 67.6%, the great number of them, had no experience to receive dental health education. The above-mentioned findings suggest that the cement-related workers generally neglected dental health management. They should be encouraged to correct their wrong oral health knowledge or habit to make their oral cavity more healthy. To make it happen, it's required to provide oral health education and promote organized dental health projects.

• Korean Journal of Health Education and Promotion
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• v.18 no.1
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• pp.1-15
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• 2001

This study purposed to examine the participative intention for health promotion program in a university and to find out the factors to associate with the participative intention. The data were based on the self-reported questionnaires from 746 women who study in E university, and this survey performed May, 1998. This study performed to analyze the participative intention for health promotion programs and the factors associate with health promotion program using $chi^2$-test and trend test by the PC-SAS 6.12. The major findings were as follows: 1. The tendency of participative intention for health promotion programs showed that Influenza preventive program was the highest among the health promotion programs, and the next were Weight control program, Rubella preventive program, Fitness program. On the other hand, Smoking preventive program and Non-drinking program were lower than the other program. 2. The four significant factors on participative intention for health promotion programs were grade, concern for health, and behavior change experience through the health education. On the other hand, the cognitive level for health, experience for health education were not the significant factors associate with the participative intention for health promotion programs. 3. The relationship between factors and each health promotion program showed that Rubella preventive program, Influenza preventive program, Weight control program, Smoking cessation program and Non-drinking program were associated with the grade or the health concern. And Chronic diseases preventive program was associated with the grade and the concern for health. Fitness program and Sex education program were associated with the concern for health and the behavior change experience through health education.

• Journal of Environmental Health Sciences
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• v.40 no.6
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• pp.492-501
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• 2014

Objectives: The purpose of this study was to assess the validity of self-reported cigarette smoking status and investigate factors associated with the accuracy self-reported and measured urinary cotinine in Korean adults. Methods: We used data from the $1^{st}$ Korean National Environmental Health Survey (2009-2011) among adults aged ${\geq}19$ years (N=6,246). The survey examined self-reported smoking status, and urinary cotinine was regarded as the biomarker of exposure to tobacco smoke. Urinary cotinine was analyzed using a gas chromatography-mass spectrometry (GC/MS) and data analysis was conducted using IBM SPSS version 20.0, which uses the sample weight and calculates variance estimates to adjust for the unequal probability of selection into the survey. Results: We calculated a cut-off point (53.3 ug/L) by using a ROC (Receiver Operating Characteristic) curve. The smoking prevalence was 24.6% based on self-reported data and 28.2% based on urinary cotinine concentrations. When we assessed the agreement between self-reported and urinary cotinine, we found an average agreement of 97.7% among self-reported smokers and 94.5% among self-reported non-smokers. Among self-reported smokers, factors affected the discrepancy were age, household economic status and average number of cigarettes smoked per day. On the other hand, gender, former smoking experience, and exposure to SHS (second hand smoke) were associated with discrepancies among self-reported non-smokers. Conclusion: These results suggest that self-reported data on smoking status provide a valid estimate of actual smoking status. In future research, we will conduct a continuous monitoring study for reliability verification of the data to reduce potential interpretation errors.

• Journal of Digital Policy
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• v.1 no.1
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• pp.27-37
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• 2022

The purpose of this study attempted to provide basic data for the safety awareness intervention program by identifying smoking, drinking and safety awareness survey using raw data from the National Health and Nutrition Examination Survey (KNHANES VIII-1, 2019). The self-reported questionnaire was used to assess the gender, age, smoking, drinking, and safety awareness. Descriptive statistics and chi-square test were used for the general characteristics according to gender and the difference between smoking and drinking. positive thinking, emotional expressivity, public speaking anxiety. The SPSS WIN 23.0 version program was used for data analysis. The data were analyzed using descriptive statistics and Chi-square test were used for the general characteristics according to gender and the difference between smoking and drinking. There were significant difference between wearing a seat belt while driving and smoking for life (𝑥²=6581.46, p<.001). Among safety awareness, there was a statistically significant difference between wearing a seat belt while driving and lifelong drinking experience (𝑥²=6421.29, p<.001). It is considered that this can be used to prepare a customized smoking prevention education and alcohol prevention education intervention program to improve safety awareness.

• The Journal of Korean Society for School & Community Health Education
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• v.3
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• pp.35-58
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• 2002

This research attempted to investigate the real state of adolescent smoking and drinking, and to study how stress influences on smoking and drinking of high school students. This data was collected from 837 first and second grade students in a vocational high school in Go-yang city, Gyeonggi province. Data analysis consisted of frequency, percentage, Chi-square, T-test, step-wise regression analysis, using SPSSWIN. The results of analysis were as follows: First, 51.7% of the students have never smoked, while 48.3% have experienced smoking. Most students started smoking in the second year of the middle school, though 17.6% of the smokers already started in the elementary school. The strongest motive of initial smoking was curiosity, next the inducement of friends, and 10.9% of them smoked to get rid of stress. Their favorite place for smoking was in the order of the entertainment centers, schools, and private academies. They personally purchased cigarettes mostly at the store. Most of them smoked less than 5 cigarettes a day, but 3.7% smoked more than a pack of cigarettes a day, usually with friends rather than alone. Second, the ratio of drinking was relatively high 78.1%, and their initial drinking experience was most frequent at the third year of the middle school. The initial motive of drinking was mostly curiosity and the inducement of friends, but 10.7% of them started drinking to reduce stress and anxiety. The places for buying alcohol and drinking were bars or restaurants. The ratio of habitual drinking was 45.1%, and the ratio of irregular drinking was 53.3%. 1.8% of the drinking students enjoyed drinking everyday. The amount of drinking varied from half a bottle to two bottles of Soju, and the drinking problem was serious to see that 11% of them drank more than two bottles at a time. Because 84.4% drank in groups with friends, a thorough and systematic supervision and education of the peer group drinking is essential. Third, as for the relationship between personal matters and smoking, it was found that there was a positive relation between smoking and sex, but there was no correlation between smoking and school years. Adolescent smoking was also related with scholastic achievement, the number of friends, and the existence of parents. Fourth, as for the relationship between personal matters and drinking, it was found that there was no correlation between drinking and sex, but there was a positive relation between drinking and school years. Fifth, the average index of stress was students themselves(2.58), school life(2.53), family life(2.19), friends(2.00), and the total index of stress was 2.33. Sixth, there appeared a marginal negative correlation between stress and 'drinking and smoking' in Pearson coefficient of correlation r to see the influence of stress on smoking and drinking. The difference of the average index of stress according to smoking and drinking bears meaningful difference for all students, smokers and non-smokers, drinkers and abstainers in students themselves, school life, family life, friends, and total stress. Smoking has an effect on family life most, school life next, and drinking has an effect on school life most, family life next, with the explanation power of 11% and 9% respectively, in a regression analysis to analyze the factors influencing on smoking and drinking among the factors of stress.

• Journal of agricultural medicine and community health
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• v.33 no.1
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• pp.90-100
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• 2008

=Objectives: The aim of this study was to investigate the smoking rate and the related factors to early smoking of high school students.Methods: A questionnaire was administered to 920 students in 3 high schools in Daegu Metropolitan Results: Of total respondents, 1.8% had experience of smoking. Of those, 20.2% citied curiosity, 9.0% cited upon recommendation of friends, and 6.2% cited stress management as the main reason for their smoking. Separately, 53.1% responded habitually and 26.5% responded stress management as the main reason for continuing smoking. Of total former smokers, 68.4% said 'worry about their health' as the main reason for quitting smoking. Of those who failed to quit smoking, 58.7% cited 'weakness of will' as the main reason for their failure. Of total respondents, 10.8% were smoking currently. 'Smoking of family member'(p<0.01) and 'intent to smoke'(p<0.05) were significantly associated to early smoking of the subjects.In multivariate logistic regression analysis, 'higher levels of stress' and 'smoking of family member' were significant related factors to early smoking.Conclusions: Amid growing number of early smokers, it is imminent to identify the actual state of discourage smoking. In addition, education programs need to be developed to assist early smokers in quitting smoking and prevent smoking among youth.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.47-55
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• 2019

This study was conducted to investigate the factors associated with electronic cigarette use by Korean adults. To accomplish this, data collected from 228,477 individuals during a community health survey conducted by the Korean Centers for Disease Control and Prevention in 2015 were analyzed by descriptive analysis, the Chi-squared test, and logistic regression analysis. The lifetime prevalence of electronic cigarette smoking was 11.1% for men and 0.8% for women. The current prevalence for electronic cigarettes smoking was 24.2% for men and 26.1% for women among lifetime users of electronic cigarettes. The lifetime experience rate of electronic cigarette smoking was significantly associated with age, educational attainment, occupation, income status and current smoking status, respectively. The current universal smoking e-cigarette is significantly related to the current smoking status, which shows a significantly higher number of current smokers than groups that have smoked in the past. The preference for electronic cigarette smoking was high. E-cigarettes were perceived by those who aimed to quit smoking as having a smoking cessation effect compared to regular cigarettes while also providing the pleasure of smoking and addressing the addiction. Therefore, e-cigarettes were highly favored because they were reflected as a solution to the dilemma of smoking. In 2014, electronic cigarette imports tripled from the previous year, and interest in electronic cigarettes is increasing worldwide. Accordingly, measures related to the prevention and discontinuation of e-cigarettes should be considered. Strengthening anti-smoking education and active promotion of anti-smoking risks is needed to improve smokers' wrong perception of smoking-related health. The WHO also reports that there is a lack of grounds to ensure or acknowledge that e-cigarettes are effective. Accordingly, it is important to identify environmental factors influencing the use of electronic cigarettes and explore the relationship between electronic cigarette recognition and use.

• Journal of Korean society of Dental Hygiene
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• v.16 no.3
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• pp.417-426
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• 2016

Objectives: The objective of the study was to investigate the related factors of preventive behavior experience toward dental caries and periodontal disease in Korean adolescents. Methods: The study subjects were 72,060 adolescents in 800 schools who completed 2014 Korean Youth Risk Behavior Web-based survey. Dependent variables included general characteristics of the subjects, oral health behavior, and oral disease experience. The experience rate of sealant and scaling showed the prevention behavior of dental caries and periodontal disease. Data were analyzed by IBM SPSS statistics 20.0. Results: The experience rate of sealant accounted for 26.9%. The experience of sealant was related with gender, school, maternal education level, economic status, vigorous physical activity, smoking, usual stress, fruit consumption, milk consumption, soda consumption, snack consumption, tooth brushing, oral health education experience, periodontal bleeding and pain, mucosal disorders, and bad breath. The experience rate of scaling was 22.6%. The experience of scaling was related with gender, school, city division, learning achievement, maternal education level, economic status, residential type, vigorous physical activity, usual stress, fruit consumption, milk consumption, tooth brushing, oral health education experience, periodontal bleeding and pain, mucosal disorders, and bad breath. Conclusions: To expand preventive oral health behavior in the adolescents, it is necessary to support the systematic policy making and monetary establishment in the future.