Purpose : To know the smoking status of regional residents and to contribute the development of smoking education program by analyzing the related characteristics and affecting variables. by convenience sampling of total 1,300 regional residents in Daegu. Method : The investigation was conducted with 1,204 residents in mid to small urban area of Gyeongsangbukdo. for 3 months from April 1, to June 30, 2007. Results : 1) The current smoking rate of test subjects was 19.3% and 63% responded as non smoker, and 17.1% of test subjects responded as currently stopped smoking. 2) The smokers' age that habitually started smoking resulted to show the highest distribution at their age of $20{\sim}29$ by including 49.3% in 446 smokers, and 39.6% in ages younger than 19 years old. 3) The subjective health status of test subjects was found to be healthy in 65.1% of nonsmokers. 4) The increase of stress along with the increase of depression significantly had large effects on smoking rate. 5) When the regression analyses were conducted, test subjects' sex, age, religion, current residing area, occupation, the level of health status, the level of stress and the level of depression found to have significant effects, and the influence of these variables was 27.4% by showing an overall significance. Conclusion : Primarily, the average smoking rate of regional residents was slightly decreased, but the smoking rate in juveniles, university students, professional workers, office workers, labor workers and women were found to be increased. Therefore smoking prevention and stop smoking policies have to be enforced with the development of more effective education programs. Secondly, the health status especially the increase of stress along with the increase of depression significantly had large effects on smoking rate. So, it is considered that the responsible government, related organizations and experts should make efforts not only for the improvement of health and but also for the establishment of stress and depression solving measures. Thirdly, the supports and willingness of government and local government for substantial practicing the development of smoking prevention and stop smoking enforcement policy education programs have to be advanced with the systematic backup as the first step of improving health of national peoples.
Objectives: The purposes of this study were to investigate the installation rates and status of indoor smoking rooms in public facilities and to determine the level of compliance level with smoke-free policies in accordance with the National Health Promotion Act. Methods: A visiting survey was conducted on 1,206 public facilities in the Seoul Metropolitan Area and the Daegu and Gyeongsangbuk-do Province area. Researchers selected public facilities such as bars, coffee houses, and internet cafes using convenient sampling. They visited without prior notice, checked the existence of indoor smoking rooms, and recorded their status. Results: Internet cafes (110/116) had the highest installation rate of indoor smoking rooms, followed by bowling clubs (17/19) and billiard rooms (87/100). Depending on the type of business, 50-88% of smoking rooms were not completely enclosed. Coin karaoke rooms showed the least inadequacy in this regard. In addition, out of 512 smoking rooms, in 33% (n = 169) smoking indoors was observed in non-smoking areas. Only 9% of public facilities were in full compliance with the indoor smoke-free regulation. Conclusions: It was found that most of the public facilities with indoor smoking rooms did not comply with the smoke-free policy, and smoking was still observed inside some facilities. Therefore, there is a need for a policy that prohibits indoor smoking rooms completely.
Cigarette smoking is a major risk factor of atherosclerosis and has been reported to contain an abundance of free radical species which could be expected to deplete antioxidants such as vitamin C . The present study was designed to investigate the relationship between smoking, plasma lipid and lipoprotein concentration, and plasma vitamin C level. Fifty-five healthy male smokers and 32 non-smokers were investigated in the study. Mean age, body weight , BMI and blood pressure made no differences in both smokers and non-smokers. Significantly, smokers has higher plasma total cholesterol and LDL-C , and lower HDL-C /LDL-C ratio compared with non-smokers. Plasma level of thiobartiturin acid reactive substances(TBARS), indicator of lipid peroxidation and increased susceptibility of LDL towards lipid perosidation, were elevated in smokers(p<0.001), while the plasma vitamin C level of smokers was significantly lower than that of non-smokers(p<0.05), indicating that elevated lipid peroxidation are associated with decreased plasma vitamin C content. In non-smokers a significantly positive correlation was observed between dietary vitamin C intake and plasma levels, but no such association observed in smokers. Lack of such a relationship and the decreased plasma vitamin C level in the smokers suggest that smoking may cause increased turnover of the plasma antioxidant. Consuquently, the sustained free radical load derived from smoking causes an imbalance in oxidant/antioxidant status and it could be expected that cigarette smoking renders plasma LDL more susceptible to oxidative modification . In the present study the possible explanations for that cigarette smokers have a higher risk of cardiovascular disease include the changes of blood lipid and lipoprotein concentration, and plasma vitamin C status which might have protective functions against free radicals -medaited lipid peroxidation.
Purpose : This study aimed to analyze the relationship between local residents' experience of public health education on smoking, drinking, and nutrition and their perceptions of health and happiness, thereby providing data for improving the levels of residents' perceptions of health and happiness through the expansion of public health education. Methods : This study used 2017 data on the health of local communities in Gyeongsangnam-do. SPSS (version 25.0) was employed for the statistical analysis. A t-test and an analysis of variance were conducted in order to examine the levels of local residents' perceptions of health and happiness according to their general characteristics and whether or not they had received public health education on smoking, drinking, and nutrition. Results : Those who resided in a city, were younger, earned money, had high educational background, and had high income level had much experience on smoking, drinking, and nutrition education. Those who lived in a county, were males, were younger, had a high level of education, earned money, and had high income level felt a high level of subjective happiness. Residents who had experienced smoking, drinking, and nutrition education had a high level of subjective perception of general health and oral health. The subjects' experience of public health education was positively correlated with their levels of perception of their health and happiness. Conclusion : Education on smoking, drinking, and nutrition for local residents does not merely provide them with knowledge but also it is conductive to improving their quality of life. Therefore, more opportunities for a larger number of people to receive public health education on diverse topics should be given to increase their levels of happiness.
Objectives: This study focuses on the effectiveness of a five-day target youth smoking cessation program in terms of smoking behavior, psychological characteristics, physiological changes, and 1-month maintenance of non-smoking. Methods: The participants in this one-group pre-posttest study were 91 youth smokers registered to a smoking cessation school at a hospital in Seoul. Data analyses performed include descriptive statistics, x2-test, paired t-test, and ANOVA. Results: A five-day smoking cessation program significantly decreased expired carbon monoxide level, stress, and depression. In post-intervention urine test, urine cotinine was detected in 14 of 91 participants(15.4%). In a one-month follow-up telephone survey 80.2% responded maintaining non-smoking. Conclusion: This study demonstrated the effect of a five-day smoking cessation program for adolescent smokers.
The aim of this study was to raise awareness about smoking and to facilitate the induction of smoking cessation. The participants were 49 patients who showed intention to participate in the test. The participants who had done a questionnaire, were asked to quit smoking for about an hour. After taking the breath deeply, they stopped for 20 seconds and measured breathing slowly. Carbon monoxide in the exhalation was higher when the daily smoking amount was higher and the smoking duration was longer, but not significant. In the case of smoking after meal and smoking in bed in the morning, the carbon monoxide level was significantly higher than that in the case of not smoking. It was significantly associated with skin allergic symptoms. The usual exercise habits, drinking and the respiratory disease were not correlated with carbon monoxide levels.
This study was aimed at identifying on the state and knowledge toward smoking and passive smoking in middle school students. The data were collected from 6th. to 18th. August, 2001. Subject were 125 middle school students who were participated in the Smoking Cessation Program of S Health Agency in Busan. The collected data were analyzed by SPSS program for frequency, percent, mean, and chi-square test. The smoking related state and attitude of subjects were as follows; the nurmber of the smoking students are 10(8.0 %) at present, 19(15.2 %) at past experience, 53(42.4 %) having at present smoking friends, 73(58.4 %) having at present smoking family. Also the smoking starting time of present or past smoking experience was the middle school; 12(9.6 %) and elementary school; 11(8.8 %). They started because of the peer group members; 12(9.6 %), curiosity; 8(6.4 %), and looking good; 7(5.6 %). The passive smoking related state and attitude of subjects were as follows; the number of the passive smoking aware rates are very well level; 71(56.8 %), well level; 54(43.2 %). The exposed experience to passive smoking was always; 38(30.4 %), sometimes; 86(68.8 %), not experience; 1(0.8 5). The place of exposure to passive smoking was game rooms; 67(53.6 %), house; 30(24.0 %), fast food place or cafeteria; 10(8.0 %), and street or in a vehicle ; 3(2.4 %). The main smoker to passive smoking exposure was unknown person; 61(48.8 %), grand parents or parents; 43(34.4 %), brothers or friends; 8(6.4 %), teachers; 4(3.2 %). The chief complant of passive smoking exposure was dyspnea; 36(28.8 %), coughing; 34(27.2 5), dizziness; 21(16.8 %), no symptom; 18(14.4 %). The mostly affected smoker to passive smoking exposure was parents; 52(41.6 %), brothers or friends; 48(38.4 %). The health affected perception to passive smoking exposure was very affected; 109(87.2 %), not affected; 3(2.4 %). In conclusion, it can be well recognized that considerable number of middle school students is exposed to the passive smoking in their homes and by unknown persons, but, their knowledge and attitude toward the exposure to passive smoking is not effective. Therefore, it is hoped that regular smoking education program at school and restriction campaign in home and the public place is necessary.
Purpose: The purposes of this study were(a) to identify smoking behavior by following a cohort representative of the population of 4th grade elementary schoolers in South Korea over a four-year period(2004-2007), and(b) to explore predictors of smoking initiation among non-smokers in Wave 1. Methods: Secondary data, the Korea Youth Panel Study, was analyzed in this study. First, frequencies or percentages were calculated to identify smoking behavior(i.e., smoking initiation, smoking intensity, and smoking duration). Second, binary logistic regression analysis was performed to examine significant factors related to smoking initiation. Results: Smoking initiation and daily smoking were more pronounced when the participants entered middle school. In bivariate analysis, statistically significant predictors of smoking initiation were loneliness at school, self-control, delinquent behavior, depressive symptoms, and stress. However, after controlling for other factors, only a high level of risk-taking tendency and a greater number of delinquent behaviors remained statistically significant. Conclusion: Based on greater involvement in smoking among first-year middle schoolers, smoking prevention strategies should be provided to elementary schoolers rather than middle schoolers. A risk-taking tendency and delinquent behaviors should be considered as proxy measures to detect the high-risk group for smoking initiation.
Purpose: The purpose of this research was to find out tobacco control education taught graduate, baccalaureate and associate degree-nursing programs in Korea. Method: A valid and reliable questionnaire previously used to assess tobacco use in medical and nursing schools in the United States was translated and revalidated. Surveys were sent out to all the graduate, baccalaureate and associate nursing programs in Korea. All 6-tobacco curricula content areas recommended by the United States National Cancer Institute and the Agency for Health Care Policy and Research was included. Result: Majority of BSN (93.2%-75%) and AD (92.3%-64.1%) programs were teaching health hazards, cancer risk, health effects of tobacco, effects of ETS, contents of cigarette, withdrawal symptoms and high risk groups of smoking as a part of required courses. However, 87.5% (14/16) of graduate, 50.0% (22/44) in baccalaureate, 53.8% (21/39) in associate degree programs were not teaching about the 5 A's. Of those who reported teaching smoking cessation strategies, they were covered most frequently in Community Nursing (50%), Adult Health Nursing (43.8%) on the graduate level, and in Community Nursing (65.9%-BSN, 76.9%-AD) and Adult Health (54.5%-BSN, 74.4%-AD) on the undergraduate level. 31.1% (5/16) in Graduate, 18.2%(8/44) in BSN, 10.3% (4/39) in Associate Degree programs reported that there are no smoking students in their schools and rest of the schools reported either do not know or they have 1 to more than 21% of students smoking. Conclusion: The study results identifies the quantity and level of tobacco control content in three different nursing programs and will help in developing curricular guidelines in the future. Further survey needs to be done on nursing students' knowledge, attitude and belief on smoking and smoking cessation.
In order to study the relationship between life-style and serum lipids level in young adults, the author measured the concentration of serum total cholesterol (TC), triglyceride (TG) and high density lipoprotein cholesterol (HDL-C) and investigated age, relative weight, weekly alcohol intake and daily cigarette smoking through questionnaire in 310 male workers aged 20 to 39, in Ulsan area. The results obtained were as follows: 1. In the factors being able to influence serum lipids level there was negative correlation between age and alcohol intake, and the positive correlation between age and relative weight, alcohol intake and relative weight, alcohol intake and smoking with the strongest correlation between alcohol intake and smoking. 2. In univariate analysis, mean total cholesterol concentration were significantly different according to age, smoking and relative weight: mean triglyceride concentration were significantly different according to relative weight only; mean HCL-C concentration were significantly different according to alcohol intake alone. 3. In non-drinkers, HDL-C concentration of smokers were significantly lower than that of non-smokers but triglyceride concentration of smokers were significant higher. And in drinkers, total cholesterol concentration of smokers was significantly higher than that of non-smokers. 4. In multiple regression analysis, significant independent variables were relative weight, age and smoking in the total cholesterol concentration, and relative weight, age and alcohol intake in the triglyceride concentration, and alcohol intake, relative weight and smoking in the HDL-C concentration. By these independent variables, total variation in each dependent variable was explained 7.9%, 17.6% and 7.4% respectively.
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