• The Journal of Korean Medicine
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• v.24 no.4
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• pp.19-24
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• 2003

Background and Purposes : Smoking is a well-known risk factor for ischemic stroke. It may contribute to s1Toke by inducing the aggregation of platelets and formation of atheroma, reducing cerebral blood flow, and increasing fibrinogen. However, the relative risk varies according to different ethnicity and area. Therefore, we performed this study to assess the risk of smoking for ischemic s1Toke in Korea. Methods : Cigarette smoking habit was studied in 308 patients with ischemic s1Toke and in 348 age- and sex-matched control subjects who had no history of stroke using case control methods. In multiple logistic regression analysis, smoking had a significant value of odds ratio adjusted for hypertension, diabetes mellitus, and hyperlipidemia. Results : The adjusted odds ratio (AOR) and 95％ confidence interval (CI) was significant in the medium smokers (AOR, 1.92; 95％ CI, 1.11 to 3.33: p< 0.05) and heavy smokers (AOR, 2.80; 95％ CI, 1.64 to 4.78: p< 0.05). Furthermore, the OR was higher in hypertensive subjects than in normotensive subjects compared to non-smokers (AOR, 1.98; 95％ CI, 1.01 to 3.85: p< 0.05). Conclusions : Our findings suggest that smoking is an independent risk factor for ischemic stroke in Korea.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6919-6924
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• 2013

Background: Between 1998-2009 South Korea experienced significant progress in reducing the male smoking rate from 66.3% to 46.9%. As part of a significant government effort in the area of smoking cessation intervention, the Korean government implemented the national "Smoking Cessation Clinics (SCC)" program in 2004. Materials and Methods: Data covered 804,334 adult male smokers participating in SCC program at 253 public health centers between 2006-2009. We examined participant cessation rates with the SCC program, their characteristics and program intervention components using health insurance status as a socioeconomic status (SES) indicator. Multivariate logistic regression analyses were performed correcting for intra-class correlations within public health centers. Results: The overall 6-month quit rate was high (46.8%). Higher odds of smoking cessation were positively associated with higher levels of behavioral counseling sessions, but not nicotine replacement therapy (NRT). Cessation rates were lower for Medicaid participants than for regular health insurance participants. Disadvantaged younger smokers were less likely to participate in the program. Older smokers were more likely to quit regardless of SES. Stress was cited as major reason for failure. Conclusions: SES inequalities across different age groups exist in smoking cessation among Korean adult male smokers. There is a need for intervention programs specifically targeting sub-populations of SES by different age groups.

• Health Policy and Management
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• v.27 no.3
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• pp.219-228
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• 2017

Background: The purpose of this study is to investigate impact of increased tobacco price in 2015 on the adult smoking rate in South Korea. Methods: This study used 6th Korea National Health and Nutrition Examination Survey from 2013 to 2015. Total 14,860 adults were included in the analysis. The chi-square test, univariate- and multivariate survey logistic regressions, and subgroup analysis were conducted. Results: Results show that adult smoking rate before price increase were 19.08% and after price increase were 16.69%. Adjusted by variables associated with smoking behavior and others, multivariate survey logistic regressions revealed that smoking rate decreased after introduction of increased tobacco price policy (odds ratio [OR], 0.745; 95% confidence interval [CI], 0.575 to 0.967) and the impact was different by various social status (male: OR, 0.688; 95% CI, 0.523 to 0.905; age over 60: OR, 0.487; 95% CI, 0.315 to 0.754; rural area: OR, 0.531; 95% CI, 0.309 to 0.912; household income Q1: OR, 0.593; 95% CI, 0.352 to 0.999; household income Q4, OR, 0.616; 95% CI, 0.386 to 0.983). Conclusion: The study revealed decreased smoking rate after increased tobacco price policy and different trend depending on various social characteristics. We recommend that government agencies and policy makers should pursue tobacco price control policy continuously and population specific manner and concurrently non-price policy should be implemented as well.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.155-163
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• 2018

This study was conducted to investigate the factors related to smoking and smoking differences among adolescents who have experienced smoking using data from the 11th (2015) Korean Youth Risk Behavior Web-based Survey. The data used in this study were from 5,347 middle and high school students who had cigarette smoking and electronic cigarette smoking experience among 68,043 respondents to the 11th (2015) Korean Youth Risk Behavior Web-based Survey. The data were evaluated by frequency analysis, the ${\chi}^2$ test and logistic regression analysis using weighted composite sample analysis. Overall 20% of the total smoking adolescents were dual users and 85.6% of the users of electronic cigarettes used nicotine. The results from multinomial regressions show that: male students (OR 1.63; 95% CI 1.15-2.31), living in the metropolitan area (OR 1.76; 95% CI 1.32-2.33), an average consumption of fast food of once or twice a day (OR 2.48; 95% CI 1.33-4.64), first started smoking during high school (OR 0.76; 95% CI 0.58-0.98), having experience with passive smoking (OR 1.24; 95% CI 1.07-1.44), experience drinking alcohol (OR 2.03; 95% CI 1.65-2.48) and those with higher weekly allowances were more likely to be at risk than dual users. This study provides basic data regarding the dual use of electronic cigarettes and cigarettes by adolescents. The results presented herein will facilitate development of a smoking cessation program and policy.

• Journal of agricultural medicine and community health
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• v.34 no.2
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• pp.202-213
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• 2009

Objectives: The aim of this study was to compare health related behaviors among adolescents in the rural area with those in the urban area in Korea. Methods: The data source was the Korea Youth Risk Behavior Web-based Survey in 2005. With two stage cluster sampling, a total of 58,224 sample was selected from 799 middle and high schools nationwide. The area was classified into county area, small to medium city, and large city, and then the county area was considered as a rural area. Data was analyzed with STATA 9.0 using the method of complex survey data analysis considering sampling weight, strata, and primary sampling unit. Results: The prevalence of health related behaviors among adolescents in the rural area was higher than the city area as following health behaviors: smoking behaviors of smoking experience, smoking experience before entrance to middle school; drinking behaviors of frequent drinking, high risk behaviors with drinking; dietary behaviors of omitting of lunch or dinner, less intake of fruits or milk, more intake of cooky; oral hygiene of less tooth brushing, less preventive oral care, more oral symptoms and less dentist visit; safety behaviors of less wearing of safety belt or protective device; general hygiene of less hand washing before meal or after visiting rest room. Conclusions: The health behaviors among adolescents in the rural area were generally poorer than the city area. The results showed national health program for adolescents should be conducted primarily for those in rural areas. Further study is needed to explore the factors related with the discrepancy of health behaviors between the rural and urban area.

• Journal of the East Asian Society of Dietary Life
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• v.16 no.1
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• pp.54-64
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• 2006

The traditional Korean diet, which is high in rice and vegetables, is fast being replaced by a Western style diet as the standard of living goes up. In addition to this, cigarette smoking has taken on serious proportions, especially amongst those of the younger generation. Because Seoul (and it's surrounding areas) is the hub of Education and Business, it is densely populated and heavily polluted Consequently health-related issues and diseases are starting to resemble those prevalent in Western communities. Historically, stomach cancer was the #1 killer-disease in Korea, but nowadays lung cancer ranks either 1st or 2nd on the list of killer-disease in Korea. This is presumably due to the lethal combination of heavy smoking and pervasive air pollution. Despite these disquieting facts, almost no study had been made of the nutritional patterns and dietary habits of smoking and non-smoking young adults in the Seoul area. Therefore the purpose of this study is to compare the dietary and nutritional patterns of young smokers with those of young non-smokers in and around Seoul. This is done with regards to their eating habits and lifestyles, as well as the dietary components that contribute towards maintaining good health. The results showed that compared to non-smokers, smokers manifested irregular eating patterns and also tended to overindulge on fast- or junk foods. In contrast to this, non-smokers enjoyed a healthier diet, which was high in brown rice, grains, legumes, fresh fruit and vegetables, and 'kimchi'. Amongst the male subjects of this study, it was found that smokers consumed significantly less vitamin $B_2$, calcium, and phosphorous than non-smokers. It was also established that in general, stress-generated smoking habits were formed during the high school years of the younger generation. In conclusion: Because smokers maintain a less healthy diet and life-style, it is to recommended that a 'Health Education Program' be developed which could guide young smokers into adopting better dietary habits and life styles.

• Journal of Korean Public Health Nursing
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• v.14 no.2
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• pp.281-292
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• 2000

This study was conducted from Nov. 15 to Dec. 20. 1999, covering 3.214 fourth. fifth, and sixth graders in 25 schools. one from each Ku in Seoul. in order to provide basic data for developing smoking prevention program. The results of the study were as follows : 1. Among the students under inquiry. $10.2\%$ answered they had the experience of smoking, while $6.3\%$ said they are current smokers. 2. With regard to smokers' smoking behavior. about 90% of them smoke one or two cigarettes a day. A lot of them was their own or friends' homes to smoke. but not at specific time. Many students who smoke say they was cigarettes stored and/or picked up at home. $28.9\%$ of them have friends who know that they smoke and $27.7\%$ of them have siblings are aware they are smokers. $24.2\%$ of them said no one around them is aware of the fact they. smoke. 3. Forth grade is the most frequent year students start smoking$(23.5\%)$. Most of them had their first smoking experience at their homes out of curiosity. 4. Profile of a typical smoker would; be male; from miscellaneous religions; have very few friends: have hard time to fit in at school and he/she has a poor academic record. 5. Environmental profile of a smoker consists of: commercial area resident: single-parented; lacks attention from parents; has hard time at home; has someone who smokes within the family. 6. Regarding the experience of smoking prevention education. the rate of current smokers who have learned about smoking prevention was lower than that of who have not learned. 7. Among the non-smoking students. $81.3\%$ of them said they would keep away from smoking and $1.6\%$ of them said they would like to smoke in the future. while $17.1\%$ were undecided. Among the students who smoke. $93.7\%$ wish to quit smoking.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.6
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• pp.2663-2667
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• 2012

Objectives: An attempt was made to understand the nicotine dependence of smokers selected for an ongoing smoking cessation intervention programme in rural Kerala, India. Methods: Data were collected from resident males in the age group of 18 to 60 years from 4 randomly allocated community development blocks of rural Thiruvananthapuram district (2 intervention and 2 control groups). Trained accredited social health activist workers were utilised to collect data from all groups through face to face interview. Nicotine dependence among participants was assessed by means of the six-item Fagerstrom Test for Nicotine Dependence (FTND) translated into the local language. The internal consistency of FTND was computed using Cronbach's alpha coefficient. Criterion validity (concurrent) was assessed by correlations of nicotine dependence scores with age at initiation of smoking and cumulative smoking volume in pack-years. Results: Among the 928 smokers identified, 474 subjects were in the intervention area (mean age = 44.6 years, SD = 9.66 years) and 454 in the control area (mean age = 44.5 years, SD = 10.30 years). The overall FTND score among current daily smokers was 5.04 (SD: 5.05). FTND scores in the control and intervention areas were 4.75 (SD: 2.57) and 4.92 (SD: 2.51) respectively. The FTND scores increased with age and decreased with higher literacy and socioeconomic status. The average FTND score was high among smokers using both bidi and cigarettes (mean 6.10, SD 2.17). Internal consistency analysis yielded a Cronbach's alpha coefficient of 0.70 in a subsample of 150 subjects, a moderate result. The association of the scale was strongest, with the number of pack-years smoked (rho = 0.677, p < 0.001). Conclusion: A moderate level of nicotine dependence was observed among smokers in the current study. Tobacco cessation strategies could be made more cost effective and productive if a baseline assessment of nicotine dependence is completed before any intervention.

• Journal of Environmental Health Sciences
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• v.35 no.2
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• pp.86-94
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• 2009

This study analyzed the concentration of the lead in blood (n=774) from May, 2007 to Oct 2007. The subject was residents in G, Y, H industrial area, Jeollanam-do, in which exposure to the lead is expected due to the adjacency of the industrial complex. As to the lead concentration in the blood of the residents in the whole exposed region and the comparing region, $2.81{\mu}g/dl$ in the exposed region group, and $2.86{\mu}g/dl$ in the comparing region group Respectively, which indicates that the concentration of the comparing group was higher than that of the exposed group. The geometric mean concentration of lead in blood was $3.26{\mu}g/dl$ as to men, and $2.46{\mu}g/dl$ as to women, which indicates that the concentration of men is higher than that of women (p<0.01). The lead concentration for each age group increased in proportion to age except those under 10 for some substances (p<0.01). As to geometric mean concentration in blood according to the smoking history of the subject, the concentration of the smoking group and the non-smoking group was $3.57{\mu}g/dl$ and $2.66{\mu}g/dl$ respectively, which indicates the former is higher than the latter (p<0.01). To clarify the factors affecting the heavy metal concentration in blood among the subjects, the multiple regression analysis was conducted. As a result, it turned out that as to lead content in blood, gender, age, smoking all affect the lead concentration of the subjects ($R^2$=23.3%).

• Journal of Korean Society for Atmospheric Environment
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• v.6 no.1
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• pp.73-84
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• 1990

The study was carried out to investigate the extent of indoor air pollution in living rooms of apartment houses(residential area) and offices(traffic area A : no smoking space, B : smoking space) in Seoul and to determine the health significance of indoor air pollution. Indoor and outdoor concentrations of major air pollutants were observed simultaneously from February 13 to 17, and July 24 to 28, 1988. The concentrations of carbon monoxide(CO), nitrogen oxides(NOx), sulfur dioxide($SO_2$), carbon dioxide($CO_2$) and total suspended particulate(TSP) in living room and offices were measured and the results were summarized as follows: 1. Both in summer and in winter, the indoor concentrations of CO, $CO_2$, and TSP in offices were higher than the outdoor concentrations, on the other hand, $SO_2$ was higher in the outdoors and NOx was lower than the outdoor concentration only in office A where smoking is not permitted. 2. The indoor and outdoor pollution of offices in winter was significantly higher than that in summer, and the concentrations of CO, NOx and $SO_2$ in indoor and outdoor air in living room in winter were also higher than those in summer. These results suggest that indoor levels of air pollutants are affected by smoking and winter heating systems.