• Korean Journal of Health Education and Promotion
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• v.6 no.1
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• pp.48-59
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• 1989

The study was designed. to analyse the factors effecting to smoking and drinking of community people in rural area. The study has been surveyed through interviews by trained college students for 1,846 residents who live in rural area(Eup or Myun office is located)for 20days(from 3rd. to 22M. in August, 1988) The summary and conclusions are as follows. 1. The number of answers on the questionaires was 1846. And the percent of man was 55.7 %(woman 44.3 %). Among age group 20-29 years group with 30.4 % was larger than any other group. Anaverage age of answers was 38.6 years. 2.In the period of residence, 21.5 % of the residents lived within 5 years(This group was larger than any other group). In occupations, workers in agriculture and fishing was more than other job occupants. In education, the percent of high school graduates was 44.0 %(higher than any other group) 3.The smoking rate of rural residents was 41.8 %and man's smoking rate was 76.0 % (woman's smoking rate was 7.6 %). These rates were higher than the rates in 1985 (The smoking rate of nation was 32.0 %). First of all, woman's smoking rate increased rapidly 4.As for smoking amount, in male 52.8% of smokers smoked a cigarette case (20 cigarettes) in a day, and 16.9 % of smokers smoked more than one cigarette case. In female 42.5 % of woman smokers smoked a half case in a day and the rate of non-smokers diminished to 77.8 % 5.The rate of non-smokers in 21-29 years group was higher than any other group and a smoking rate increased as an age increased. However, a smoking amount decreased as an age increased. This suggests that people are more concerning about their health as their ages increase.. 6.The smoking rate of college graduates was 58.8 %(higher than any other group) and in a smoking amount 36.4 % of college graduates, 29.8 % of high school graduates smoked more than a cigarette case in a day. This shows that people in a higher education group smoke more than those in other groups. 7.As for non-smoking rate, students, service job workers, company employees, and teachers was 54.1%, 43.4%. 40.1% and 39.5%. respectively. As for smoking rate, workers in agriculture and fishing was the highest level of all job employees. Public officers smoked less than the workers in agriculture and the smoking rate of teachers was less than that of public officers. with regard to smoking amount. above one cigarette case in a day was 39.9 % in public officers, 39.2 % workers in agriculture and fishing, 37.9 % in businessmen, 34.2 % in teachers, 31.9 % in service job employees and 31.6 % in a company employees. 8.The variables which had an effect on smoking were sex (B=.1701), job(B=.1688), education(B=.1671), age(B=.1125). These variables were significant in P＜0.05 statistically. Explanatory variance level was 19% 9.The drinking rate of community residents was 61.8% and man's drinking rate was 81.7%(woman's drinking rate was 38.9%). As drinking rate 18.0%(the highest rate) of man drinkers drank 3 bottles of beer in a general drinking and 12.1% of them drank more than 10 bottles. 12.1% (the highest rate)of woman drinkers drank 2 cups of beer. The rising rate of woman's drinking of alcohol was remarkable. 10.Each non-drinking rate of age groups was 27.6% (in 20-30 years group), 28.0% (in 30-39 years group), 28.9%(in 40-49 years group) and 32,6%(in 50-59 years group), 10,7%(the highest rate) of 20-29 and 30-39 years groups drank above 3 bottles. 7.5% of 20-29 years group and 7.7% of 30-39 years group drank above 10 bottles. In 40-49 years group, 14.4 % of them drank a bottle and 8.1% of them drank above 10 bottles. In 50-59years group, 14,2% of them drank 2 bottles and 5.3 % of them drank above 10 bottles. This shows that a drinking rate decresed as an age increased. 11.Non-drinking rate was higher as an education level was lower. Each non-drinking rate of non-educated group, elementary school group, middle school group and high school group was 41.0 % of high school graduates and 14.5 % of college graduates drank 3 bottles of beer. 9.7 %(the highest rate) of college graduates drank above 10 bottles, in general drinking. 12.Each non-drinking rate of businessmen, farmers, service job workers, and students was 31.3%, 28.2%, 26.8% and 25.9%. However, Each drinking rate of public officers, company employees and teachers was 73.3 %, 72.2 % and 68.4 %. This tells us that the drinking rate of mental workers is higher than that of physical workers. 14.9 % of farmers and 14.4 % of public officers drank 3 bottles at a time. 10.5 % of teachers and 9.9 % of public officers drank above 10 bottles. 13.The variables which affect on drinking were sex(B=.1545), education(B=.1476), job(B=.1064), and age(B=.1052). These variables were significant in the level of 0.05 % and explanatory variance level was 18 %. 14.Government have to educate people and demonstrate the health hazards caused by smoking and over-drinking. Especially, No-smoking campaign for woman and education not to over drink for professional job workers are necessary.

• The Journal of Korean Society for School & Community Health Education
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• v.7
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• pp.33-49
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• 2006

Background & Objectives: This study was designed to examine relationships between smoking behavior and smoking attitudes among 6th-grade students in Korea in order to provide knowledge on school-based programs for preventing adolescent smoking behaviors. Methods: Questionnaires were administered to 464 students attending three public elementary schools in O city from June 13 to June 16, 2006. The total sample size is 458 (response rate = 98.7%). Data were statistically analyzed by frequency analysis, cross tabulation, and multiple regression. Results: First, smoking behavior was significantly influenced by the factors of gender, self-concept, family structure, sibling smoking, school achievement, relationship with teachers, satisfaction with school life, and smoking friends. Theprevalence of ever-smoking was 12.7% among 6th grade students in this study. Students were most likely to initiate smoking in the 5thgrade with curiosity and smoke at their own home. Second, students showed negative attitude toward smoking overall. From the detailed section, students respondednegatively about smoking in public places while they thought that adult smoking with moderate level was okay. Student who showed positive attitudes toward smoking in the present study were significantly related to the factors of self-concept, family environment, parental and sibling smoking status, school achievement, satisfaction with school life, and smoking friends. Third, Students who had tried cigarette smoking were likely to report less negative attitudes toward tobacco than non-smoking students. Fourth, this study found that smoking friends were the most significant predictor of positives smoking attitudes. Other factors significantlyassociated with smoking attitudes were gender, relationship with friends, self-concept, relationship with teachers, paternal smoking status. Conclusions: The study results suggest that smoking prevention programs focus on resisting peer influence and need to be community-incorporated and/or comprehensive from elementary to high school.

• Biomedical Science Letters
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• v.29 no.1
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• pp.34-40
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• 2023

Smoking is one of the three major risk factors for vascular disease along with hypertension and hyperlipidemia. It is true that smoking has a negative effect on the circulatory system, and the frequency of coronary artery disease and peripheral vascular disease is significantly increased in smokers. Many epidemiological studies report that smokers have an approximately two-fold increased risk of coronary artery disease compared to non-smokers. This study was designed to investigate the relationship between cerebral blood flow change and depression index after acute smoking. Cerebral blood flow tests were performed before and after smoking in 8 subjects. Changes in blood flow after smoking were correlated with the depression score and negatively correlated with the depression score. In particular, there was a strong correlation with changes in blood flow in anterior cerebral artery. It is well known that changes in blood flow after smoking have a negative effect. In addition, considering the study that smoking aggravates the symptoms of depression, it was found that smoking and depression are factors that negatively affect each other.

• Research in Community and Public Health Nursing
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• v.17 no.2
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• pp.263-272
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• 2006

Purpose: Smoking has more injurious impacts on teenagers compare to adults in that they are in the growing stage with incomplete cells, tissues, and organs. Usually smoking among adolescent group is closely related to illegal drug uses. Also, smoking in the youth drives them to ill health in adulthood, so that they will pay future national health cost. The purpose of this study was to evaluate the impacts of school life and home surroundings on adolescent's smoking. The result of this study will be utilized to promote antismoking moods in schools and homes. Method: Samples of the study are all middle and high school students in one community. The surveys were conducted from May 13th to October 29th, 2004 using the questionnaire developed by researchers. T-test, ANOVA test, Chi-square test and logistic regression analysis were performed to identify the differences of teenagers' school life and their home surroundings between smoking and non-smoking groups using SPSS 12.0 English version. Results: The findings were that there was a significant difference between smoking groups and non-smoking groups related to school life and home surroundings. Smokers were less satisfied with their school work and had poor school record and poor relationships with their friends. Smokers had more smoking parents and don't set along with and less satisfied with their parents. Conclusion: In conclusion, the teenagers' school lives and home surroundings have impacts on adolescent's smoking. Therefore, it is very important to include the factors related to the teenagers' school lives and home surroundings in the smoking prohibition program in order to promote antismoking.

• Journal of Nutrition and Health
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• v.38 no.10
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• pp.836-846
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• 2005

This study was performed to determine the effect of carotenoid-rich food consumption and smoking on the lipid peroxidation and antioxidant status in human. The subjects consisted of the health 210 middle-aged adults who visited health care center in the Inha University hospital. The blood and urine samples of the subjects were taken to analyze serum lipid profiles, plasma TBARS, total antioxidant status (TAS) and urinary 8-isoprostanes concentration. The anthropometric indices of the subjects were measured. The nutritional intake and the frequency of carotenoid-rich food consumption was determined by semi-quantitative food frequency questionnaire survey. HDL-cholesterol level of the smoking subjects was significantly lower than that of the non-smoking subjects in men. In the analysis of the carotenoid-rich food consumption, the frequency of pepper and tomato consumption of the non-smoking subjects was significantly higher than that of the smoking subjects in men. In women, the Sequency of pear and peach consumption of the non-smoking subjects was significantly higher than that of the smoking subjects. HDL-cholesterol level of the high carotenoid rich food consumption group was significantly higher than that of medium and low group in women. TAS of the high carotenoid rich food consumption group was significantly higher than that of medium and low group. In conclusion, carotenoid intakes seemed to be effective to reduce lipid peroxidation and increase antioxidant status in the body. The frequency of the carotenoid-rich food consumption seemed to be lower in the smokers than in the non-smokers. However, further researches consisted of large-scaled and randomized clinical trials are required to determine whether carotenoids have any other beneficial effect in human. (Korean J Nutrition 38(10): 836$\sim$846,2005)

• Journal of dental hygiene science
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• v.8 no.1
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• pp.7-12
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• 2008

The purpose of this study is to improve the oral health after understanding the usage status of oral health items and to conduct active guidance for prohibition of smoking. The survey of 326 visitors for continuous oral health management in the dentist from April 2nd 2007 to May $20^{th}$ is accomplished. The data is handled from the SPSS 12.0 statistics program and we can get the results like below. 1. The number of people answering the usage of the smooth toothbrush is 64.5% which is higher in smoking peoples than in non-smoking ones (p < 0.001). Non-smoking people 61.4% answering '3 minutes more' per brushing their teeth is higher than smoking respondents. 2. The more used device is the interdental brush by non-smoking people 36.7% than smoking ones and the answer. 3. The percentage answering 'recommendation in the dentist' in the question about the motive using the oral health devices are nearly same in 69.6 % and 67.5% by non-smoking and smoking persons. The most reason not using these devices is 'don't know how to use this' and the number of smoking guys is 38.7% which is higher than that of non-smoking ones(p < 0.05). 4. The percentage of answering 'regular visiting the dentist', the method for oral health management is 28.3% in smoking parts and 35.3% in non-smoking ones which is slightly higher. From this study, the usage and the recognition of oral hygiene devices of the patient with smoking is a little bit lower than those of non-smoking patients and small difference is shown. So public relations of the effects and the necessity of the oral hygiene devices to all people have to be performed and the education and the activity prohibiting smoking are expanded by the dental hygienist based on the understanding of oral health when the patients are smoking or not.

• The Journal of Korean Society for School & Community Health Education
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• v.18 no.2
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• pp.27-42
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• 2017

Objectives: The purpose of this study was to investigate the characteristics of smoking prevention programs and their effectiveness for Korean school-aged children and adolescents by using systematic review and meta-analysis. Methods: Electronic searches were performed in RISS, NAL, DBPia, KISS using keywords according to inclusion criteria. 21 studies published from 2003 to the first half of 2017 that dealt with effects of smoking prevention programs for school-aged children and adolescents were selected for systematic review. Results: All 21 studies were quasi-experimental research designs. More than half of the programs(66.7%) were conducted for male and female. Most of the programs were conducted more than once a week(71.4%). 14 studies(66.7%) did not report using a theoretical model. Five dependent variables(knowledge of smoking, attitude toward smoking, non-smoking intention, self-assertiveness, and self-efficacy) were selected to measure the effectiveness of the smoking prevention programs. Knowledge of smoking was the most effective at hedge's g=0.673. Self-efficacy and self-assertiveness variables were statistically significant at hedge's g=0.461 and hedge's g=0.279, respectively. Effect sizes of attitude toward smoking and non-smoking intention were not statistically significant compared to the control group. As a result of the moderator effect analysis on the knowledge of smoking variable, the statistically significant variables were 'gender of participants'(p<0.01) and 'duration of the program'(p<0.001). Conclusions: The results of this study using systematic review and meta-analysis will be evidence-based data for researchers conducting smoking prevention programs in school-aged children and adolescents.

• Korean Journal of Clinical Laboratory Science
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• v.39 no.1
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• pp.37-41
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• 2007

This study was carried out to investigate the cadmium level in blood by age, gender, and smoking status among 162 elderly subjects in Gyeongnam Province from September 2006 to February 2007. The cadmium level in blood was analyzed by atomic absorption spectrophotometer. Subjects were classified according to smoking status and divided into smokers and non-smokers, smoking duration, daily smoking habits, age, and gender. Mean blood cadmium levels in male and female were $0.70{\pm}0.41{\mu}g/dL$ and $0.57{\pm}0.32{\mu}g/dL$ respectively, with no significant differences between the two groups. Cadmium levels in the blood of smokers and non-smokers were $0.57{\pm}0.32{\mu}g/dL$, $0.90{\pm}0.44{\mu}g/dL$ respectively, with the cadmium level of smokers being significantly higher than that of non-smokers. In comparison by age, cadmium levels in the blood of subjects over the age 70 years and over the age 80 years were $0.91{\pm}0.44{\mu}g/dL$, $1.02{\pm}0.39{\mu}g/dL$ respectively, showing a significantly higher blood cadmium level than that of non-smokers. when compared by the amount of daily cigarette consumption, there were no significant differences in the blood cadmium level between groups. However when compared by smoking duration, the blood cadmium level for the group of smoking duration of over 10 years was $1.15{\pm}0.38{\mu}g/dL$, significantly higher than $0.67{\pm}0.31{\mu}g/dL$ for the group of smoking duration of less than 10 years. In conclusion, longer smoking duration and older aged group showed higher cadmium level in blood. For more reliable results, further study of the elements that elevate the cadmium level in blood with more subjects and study variables will be needed.

• Korean Journal of Occupational Health Nursing
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• v.18 no.1
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• pp.55-70
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• 2009

Purpose: This study was done to investigate the effect of non-smoking campaign for subway workers on their health behavior such as smoking, drinking, and exercise. Method: The study was done on the subjects of 112 male employees for 3 years from 2003 to 2005 working at the Seoul Metropolitan Rapid Transit Corporation. However, the subjects decreased to 105 in 2004 and 111 in 2005 due to work transfer. The data were obtained through administering questionnaires. The non-smoking campaign was done with health education using various strategies and methods by an administrator-in-charge assisted by the community health center. Results: Smoking rate and cigarette consumption decreased but there was no statistical significance. Smokers' frequency of drinking and exercise were higher than that of non-smokers, but there was no statistical significance. Conclusion: The result indicated the program was not effective to change the subjects' health behavior; therefore, tailored program considering the subjects is recommended.

• Child Health Nursing Research
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• v.8 no.2
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• pp.152-163
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• 2002

This study was done to provide basic data to develop smoking prevention and non-smoking education program. Questionnaire were collected from 438 male, 474 female middle school students at Chunchon, Kwangwon-do from Sep 2, 2000 to Feb 28, 2001. The Questionnaire used to measure subjects' knowledge and attitude about smoking was Guideline for the content of tobacco smoking surveys of the general population by WHO. The collected data were analyzed by SPSS-Win program. The results were as follows. 1.The average score of knowledge about smoking of subjects was 57.01 on the basis of 100. 2. The average score of attitude about smoking of subjects was 63.54 on the basis of 100. 3. In knowledge about smoking, there were statistically significant difference according to subjects' grade(F=3.218, p=.041), thinking about smoking behavior(F=3.424, p=.017), harmfulness of smoking(F=17.202, p=.000), present drinking(F=3.555, p=.029) and in attitude about smoking, there were statisti cally significant difference according to subjects' grade(F=20.520, p=.000), sex(t= -5.073, p=.000), mother's smoking(t= -2.405, p=.035), brother's smoking(t= -5.022, p=.000), mother's schooling(F= 3.730, p=.024), having smoking friend or not (t=-9.357, p=.000), subjects' smoking experience (t=-12.363, p=.000), present smoking(F= 76.643, p=.000), quantity of smoking(F= 6.808, p=.001), period of stop smoking(F= 4.685, p=.004), beginning time of smoking (F=2.286, p=.049), thinking about smoking behavior(F=17.933, p=.000), harmfulness of smoking(F=58.360, p=.000), present drinking (F=58.071, p=.000). 4. There were significant relationship between subjects' knowledge and attitude about smoking(r=.469, p=.000).