• Journal of the Korean Dietetic Association
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• v.7 no.1
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• pp.50-55
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• 2001

Running smoking, no-smoking area in restaurants(n=546) in 25 districts in Seoul area was surveyed and evaluated. No-smoking restaurants were evaluated as A(2.0 points). Restaurants running no-smoking area with guidance to the customers were evaluated as B(1.7 points), and those without guidance as C(1.4 points). In case of the distinction of smoking or no-smoking area are not clear, it was evaluated as D(1.1 points). Restaurants which are not running no-smoking area were scored E(0.8 points). Western style restaurants scored average of 1.55points, which was significantly higher than that of Korean, Chinese or Japanese style ones(average of 1.24~1.27 points). The highest mean score for restaurant 1.625 points in Songpa-gu(district).

• Journal of Preventive Medicine and Public Health
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• v.33 no.1
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• pp.91-98
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• 2000

Objectives : This study is to evaluate the awareness, attitude, practice and the countermeasures against passive smoking in Korean adults. Methods : By self-administered questionnaires, we assessed the knowledge, attitude, behavior for passive smoking and the countermeasure for reduction of it's harmful effects in 289 men and 238 women. Results : The subjects that have heard about passive smoking were 96.8% in total and well known were 26.4% of current smoker, 56.6% of ex-smoker, and 14.8% of non-smoker(p=0.001). The irritative symptom from passive smoking was the most frequent in non-smokers and the most common place where exposed to passive smoking was public place. For attitude against passive smoking in 'no smoking allowed area', ex-smokers were the most active to recommend to stop smoking. And for opinion about establishment of 'no smoking allowed area', the restriction by law was the best acceptable method in smokers, exsmokers, and nonsmokers. In marking of 'no smoking allowed area', 69.9% of smokers answered no smoking, but in non-marking area only 6.3% stop smoking. When smokers were recommended to stop smoking, the more subjects stop smoking with good feeling in marking area, but the less in non-marking area. The factor associated the high awareness of passive smoking were aged(OR=1.07, 1.03-1.12), men(OR=4.34, 2.32-8.46). The persons who have known well about passive smoking had good attitude and behavior to prevent of harmful effect of passive smoking. Conclusions : This study suggested that education program would be necessary to reduce the passive smoking.

• Korea Journal of Hospital Management
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• v.22 no.4
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• pp.16-23
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• 2017

Purposes: Despite the positive health effects of both smokers and non-smokers, the non-smoking area policy is being negatively evaluated because of the vague fears of declining restaurant sales. The purpose of this study is to analyze the changes in sales of general restaurants(including liquor stores) and other restaurants that are considered to have the most applications of smoking cessation policy among the smoking facilities, and to examine the economic impact of the designation and expansion policies of non-smoking areas. Methodology: This study used the wholesale and retail trade survey data of the Korea National Statistical Office from 2011 to 2014 and analyzed 31,577 restaurants excluding missing values. For statistical analysis, t-test, ANOVA and Difference-in-differences(DID) models were used and the interaction term of area and year was entered. Findings: As the non-smoking area policy had been designated and expanded from December 2012 to December 31 2013, high restaurant sales in 2012 declined sharply in 2013. However, despite the expanding of the no-smoking area from January 1 2014 through December 31 2014, restaurant sales slightly recovered in 2014. In the case of other restaurants, there is no significant change in sales since the start of the policy in 2013. Practical Implications: The decline in restaurant sales due to the designation and expansion of non-smoking areas is temporary and can not be sustained over the long term. This result can be used to positively suggest negative perceptions of the designation and expansion policy of non-smoking areas. Also, this result can contribute to health promotion and smoking cessation policies by protecting non-smokers from the risk of secondhand smoking exposure and inducing smokers to decrease smoking rate and smoking amount.

• Korean Journal of Occupational Health Nursing
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• v.24 no.3
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• pp.204-213
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• 2015

Purpose: This study investigated the relationship between working conditions and smoking among Korean employees using nationally representative data. Methods: We analyzed data from the Third Korean Working Conditions Survey to identify associations between various working conditions and smoking. We calculated the smoking prevalence depending on individual characteristics and working conditions. Also, multivariate logistic regression analysis was used to investigate the relationship between working conditions and smoking. Results: Company size, occupation type, employment type, working hours, working-time flexibility, and smoking-area policy were related to smoking among male employees, while company size, occupation type, employment type, and smoking-area policy were associated with smoking prevalence among females. Conclusion: Our results indicate that working conditions influence smoking prevalence, and the implementation of smoke-free policies is needed to target specific working conditions, including a strict no-smoking-area policy.

• Korean Journal of Bronchoesophagology
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• v.5 no.2
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• pp.113-118
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• 1999

Background & Objectives : Nasal resistance which is halfly responsible for airway resistance is known to be influenced by hypoxia, hypercapnia, exercise, pregnancy, alcohol, ammonia and smoking. Smoking is a common part of our sociocultural environment and we have many a times been introduced to its various adverse effects, which have usually been more focused on lung problems. The purpose of this study is to determine any relationship between smoking and nasal resistance and to evaluate it's effective sites. Materials and Methods : Acoustic rhinometry was performed in 25 smokers and 25 nonsmokers who had no nasal symptoms nor abnormal rhinoscopic findings, and used an acoustic rhinometry to measure the distance from nose-piece to the C-notch, cross sectional area at the C-notch, and volume of the nasal cavity from nose-piece to 7cm. The authors compared the data between the two groups. Results : The cross sectional area at the C-notch was significantly decreased(p<0.05) in smoking group. The distance to the C-notch and the volume of nasal cavity were decreased likely in smoking group but there were no significant difference(p>0.05). Conclusion : Smoking reduced the cross sectional area at the C-notch, so increased the nasal resistance. The underlying mechanisms seems to be decreased nasal mucosal reactivity and congestion of the nasal mucosa. The authors believe there should follow more studies on pathophysiologic mechanisms and the histopathologic changes which involve the effect of smoking on nasal structures.

• Journal of Preventive Medicine and Public Health
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• v.50 no.2
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• pp.100-126
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• 2017

Objectives: The aim of this study was to measure income differences in smoking prevalence at the district level and to investigate correlations among area deprivation, smoking prevalence, and income differences in smoking prevalence, stratified by urbanity. Methods: Data were pooled from the Community Health Survey data of South Korea between 2008 and 2014. The age-standardized prevalence of smoking and its interquintile income differences were calculated. We conducted correlation analyses to investigate the association of the deprivation index with smoking prevalence and interquintile differences in smoking prevalence. Results: Across 245 districts, the median prevalence of smoking in men was 45.9% (95% confidence interval [CI], 43.4 to 48.5%), with an interquartile range (IQR) of 4.6% points. In women, the median prevalence was 3.0% (95% CI, 2.4 to 3.6%) and IQR was 1.6% points. The median interquintile difference in smoking prevalence was 7.4% points (95% CI, 1.6 to 13.2% points) in men and 2.7% points (95% CI, 0.5 to 4.9% points) in women. The correlation coefficients for the association between the deprivation index and smoking prevalence was 0.58, 0.15, -0.22 in metropolitan, urban, and rural areas, respectively, among men, and 0.54, -0.33, -0.43 among women. No meaningful correlation was found between area deprivation and interquintile difference in smoking prevalence. The correlation between smoking prevalence and interquintile difference in smoking prevalence was more evident in women than in men. Conclusions: This study provides evidence of geographical variations in smoking prevalence and interquintile difference in smoking prevalence. Neither smoking prevalence nor the deprivation index was closely correlated with interquintile income difference in smoking prevalence. Measuring inequalities in smoking prevalence is crucial to developing policies aimed at reducing inequalities in smoking.

• Journal of Environmental Health Sciences
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• v.36 no.4
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• pp.288-293
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• 2010

In this study, exposure to secondhand smoke (SHS) was evaluated in commercial personal computer (PC) rooms with different separation types of non-smoking areas. The particulate matter less than 2.5 ${\mu}m$ ($PM_{2.5}$) level was simultaneously measured by aerosol spectrometers in the non-smoking and smoking areas of these commercial PC rooms. Average $PM_{2.5}$ concentrations in non-smoking and smoking areas were $75\;{\mu}g/m^3$ and $136\;{\mu}g/m^3$, respectively. Although the $PM_{2.5}$ concentrations in non-smoking areas were significantly less than those in smoking areas (p<0.01), the levels still exceeded the US National Ambient Air Quality Standard of $35\;{\mu}g/m^3$. Average $PM_{2.5}$ concentrations in non-smoking areas were not significantly different with regard to area separation type, with $73\;{\mu}g/m^3$ in the no-wall type, $83\;{\mu}g/m^3$ in the wall-type, and $39\;{\mu}g/m^3$ in the separated-floor-type areas (p>0.1). Separation of the non-smoking area thus did not eliminate SHS exposure in commercial PC rooms, regardless of the type of area separation. This study demonstrates that simple separation of non-smoking areas in commercial PC rooms does not protect users from SHS.

• The Journal of Korean Society for School & Community Health Education
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• v.21 no.2
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• pp.73-86
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• 2020

Objectives: The purpose of this study was to effects of education program of smoking prevention and cessation through the linkages between subjects on smoking knowledge, grit, health promoting behaviors of college students in some area. Methods: A non-equivalent control group pre-post test design was used. The intervention group received the education program for 6 weeks from October 1 to November 15, 2019. The control group lived only usual daily life. Results: t-test showed that Smoking Knowledge (t=3.78, p<.001) and grit (t=3.75, p<.001) were significant differences between the two groups. In terms of health promotion behaviors, total(t=2.89, p=.002) and physical activity(t=3.20, p=.002), health responsibility(t=3.90, p<.001), spiritual growth(t=1.99, p=.049), interpersonal relations(t=2.61, p=.010) were significant difference between the two groups, in other hands nutrition(t=0.89, p=.372) and stress management(t=1.69, p=.092) were no significant difference between two groups. Conclusions: the education program of smoking prevention and cessation through the linkages between subjects was founded to be an effective education program in improving smoking Knowledge, grit, health promoting behaviors of college students in some area.

• Journal of Environmental Health Sciences
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• v.34 no.3
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• pp.183-187
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• 2008

Indoor air quality can be affected by indoor sources, ventilation, decay, and outdoor levels. Various indoor and out-door combustion sources produce nitrogen dioxide ($NO_2$), which is a by-product of high temperature fossil fuel combustion. Especially, the presence of gas ranges and smoking have been identified as major factors contributing to indoor $NO_2$ exposures. In this study, we compared an industrial complex area with a country area by assessing the personal exposure to $NO_2$with measurements of indoor and outdoor $NO_2$ levels in residences and by house characteristics and questionnaire. Personal exposure concentrations were significantly correlated with indoor $NO_2$ concentrations of residences in both the industrial complex area and the country area with correlation coefficients of 0.561 and 0.664, respectively, compared to outdoors. Multiple regression analysis, indicated that indoor $NO_2$ levels in residences were only affected by outdoor levels (p = 0.000) in spite of higher indoor sources such as smoking. Therefore, it is suggested that outdoor air quality as well as indoor air quality should be considered in the reduction of the personal exposure to air pollutants.

• Journal of Korean society of Dental Hygiene
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• v.6 no.2
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• pp.143-151
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• 2006

This study is designed to take a look at college women's understanding of the actual condition of their smoking and the harmfulness of their smoking, to make an analysis of smoking factors affecting oral health and to present basic materials for the development of oral health education programs. Self-administered questionnaires were given to the subjects from May 22 through June 2, 2003. The results were as follows. 1. 71.7 percent of the subjects said that they had no experience. 16.7 percent of them said that they had had experience. 11.6 percent of them said that they are now smoking. The oftener they don't live with their parents, the more monthly money they had, the more smoking experience they had(p<0.001). 2. 37.4 percent of the subjects said that they brush their teeth three times a day. And 52.2 percent of them said that they brush their teeth after smoking. 3. The rate of using dental floss and interdental brushes accounts for 46.5%, and the ratio of having tartar scaled from their teeth accounts for 45.5%. There was no significant difference in accordance with smoking or nonsmoking. 4. The subjects with no smoking experience(76.0%) thought that they had better teeth condition than their counterparts(64.3%). But there was no significant difference. 5. 56.5 percent of the subjects responded that their dental condition was related to their smoking, but 43.5 percent of them said that it was not.