• Journal of Environmental Health Sciences
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• v.44 no.3
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• pp.267-274
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• 2018

Objectives: This study examined the impact of a smoke-free policy on indoor air quality at indoor recreation facilities by assessing $PM_{2.5}$ concentrations before and after the implementation of the new policy. Methods: Using real-time monitors, $PM_{2.5}$ concentrations were measured in 50 billiard rooms and 50 golf simulator rooms in Seoul, Korea. The characteristics of the indoor recreation facilities, smoking status, and atmospheric conditions were recorded at the same time.After the enforcement of a smoke-free policy, $PM_{2.5}$ concentrations, installation of smoking room, and smoking status were examined when the facilities were revisited. Results: Almost a half of the billiard rooms and over 80% of golf simulator rooms were located underground. Seventy percent of the billiard rooms and one hundred percent of the golf simulator rooms were equipped with a local exhaust ventilation system. After the implementation of the smoke-free policy, 46% of the billiard rooms and 20% of the golf simulator rooms newly installed a smoking room. In the billiard rooms with a newly-installed smoking room, the $PM_{2.5}$ concentrations decreased from 97.9 to $45.6{\mu}g/m^3$ after the implementation of the smoke-free policy. The same change of 29.0 to $ 26.3{\mu}g/m^3$ was not statistically significant in golf simulator rooms. Indoor $PM_{2.5}$ concentrations were correlated with outdoor $PM_{2.5}$ concentrations, number of smokers, and number of people in the room. Conclusions: The smoke-free policy for indoor recreation facilities was not effective at making the indoor spaces free from second hand smoke. Although a few billiard rooms installed a smoking room, indoor $PM_{2.5}$ concentrations were still higher than those of outdoor $PM_{2.5}$ or atmospheric $PM_{2.5}$. Stricter enforcement of the smoke-free policy should be achieved to prevent secondhand smoke exposure.

• Journal of Environmental Health Sciences
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• v.27 no.3
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• pp.87-98
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• 2001

There has been increased interest in the health effects of the Environmental Tobacco Smoke(ETS) as a confirmed human carcinogen. It has been known to be extremely difficult to make an accurate assessment of exposure to ETS since it is consisted of a variety of components and there are a number of labile chemicals. Therefore, it is necessary to obtain, to interpretate and to provide the data of quantitative exposure assessment to ETS in the field of environmental health. The purpose of this research is to evaluate the concentration of ETS using VOC in indoor office environments. The correlations and concentrations of benzene, RSP, 3-EP, nicotine that are indicators for ETS were investigate with smoking density, air change per hour(ventilation rate). Air samples were taken in smoking room(7 sites), smoking allowed office (3 sites), corridor outside smoking room(7 sites), non-smoking office (9 sites). The concentrations of benzene showed significant difference according to category of indoor office environments. The geometric mean concentration of benzene were 23.56 ${\mu}{\textrm}{m}$/㎥(range 4.80~192.90 ${\mu}{\textrm}{m}$/㎥) in smoking rooms. 6.16 ${\mu}{\textrm}{m}$/㎥ in smoking allowed offices, 1.32 ${\mu}{\textrm}{m}$/㎥ in the non-smoking offices respectively. The ratios of the concentration of benzene between outdoor air and smoking room, smoking allowed office, and non-smoking indicators concentrations, SD, and SI were 0.82(benzene and nicotine). 0.76(benzene and RSP), 0.60(benzene and SD), 0.76(benzene and SI). It is proposed that benzene is a good indicator for ETS.

• Journal of Environmental Health Sciences
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• v.47 no.1
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• pp.78-86
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• 2021

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.

• Journal of Environmental Health Sciences
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• v.28 no.1
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• pp.11-20
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• 2002

Tobacco smoke was confirmed as a human carcinogen by many research results. Because many adolescents stay long time in the PC game room, they are exposed to much of tobacco smoke. To evaluate the effect of passive smoking in the PC game room, airborne nicotine concentrations in 2 PC game rooms in Sung-nam city and urinary cotinine concentrations were measured for 20 adolescents. And the subjects were interviewed for duration and time in PC game room and smoking pattern. Subjects are composed of each of 10 smokers(5 males and 5 females) and 10 nonsmokers(5 males and 5 females). They stayed for three hours in the PC game room without smoking. Concentrations of nicotine in smokers and nonsmokers were 129.72 $\mu$g/$^3$ and 99.99 $\mu$g/m$^3$, respectively. Urinary cotinine concentrations were increased as time goes on after exposure to nicotine and showed maximum value at 9.45 hours after nicotine exposure and were 32.21 and 110.66 $\mu$g/L for nonsmoker and smokers. The more using time and frequency in PC game room, the higher urinary cotinine maximum concentration and the longer using duration, also the more increase urinary cotinine concentration. Urinary cotinine has a tendency to increase by passive smoking. Therefore, it is recommended that the effective control for indoor air quality and extensive research be needed to reduce nicotine concentration by passive smoking in the PC game room.

• 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.

• Proceedings of the Korean Environmental Health Society Conference
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• 2002.04a
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• pp.6-8
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• 2002

Many adolescents stay long time in the PC game room and are exposed to much of tobacco smoke. To evaluate the effect of passive smoking in the PC game room, airborne nicotine concentrations and urinary cotinine concentrations were measured for 20 adolescents at 2 PC game rooms in Sung-nam city. And the subjects were interviewed for duration and time in PC game room and smoking pattern. Subjects are composed of each of 10 smokers(5 males and 5 females) and 10 non-smokers(5 males and 5 females). They stayed for three hours in the PC game room without smoking. Concentrations of nicotine in smokers and non-smokers were 129.72 $\mu\textrm{g}$/㎥ and 99.99 $\mu\textrm{g}$/㎥, respectively. Urinary cotinine concentrations were increased as time goes on after exposure to nicotine and showed maximum value at 9.45 hours after nicotine exposure and were 32.21 and 110.66 $\mu\textrm{g}$/L for non-smoker and smokers. Urinary cotinine has a tendency to be increased by passive smoking. Therefore, it is recommended that the effective control for indoor air quality and extensive research be needed to reduce nicotine concentration by passive smoking in the PC game room.

• Journal of Korean Society for Atmospheric Environment
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• v.13 no.2
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• pp.115-122
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• 1997

Diurnal variation of $PM_{10}$ concentration was investigated for 24 sites in library including reading room, bookstock room, lobby, office and so on, and 9 sites in student building at Kangwon National University using scattering light integrated type digital dust indicator. The dimensional conversion factors for mass concentrations (K) were determined by comparing between the $PM_{10}$ concentrations collected by $PM_{10}$ hig volume air sampler and the digital dust indicator. The dimensional conversion factor (K) was 3.33 for indoor air in this experiment. The highest concentrations were 649 $\mug/m^3$/day for smoking room in the library and 242 $\mug/m^3$/day for circle room in the student building. Most of spaces in the library except a office and bookstock rooms were over 150 $\mug/m^3$/day of $PM_{10}$ concentrations and 6 indoor spaces were over the guideline for indoor air quality in student building except a health center and two restaurants. Therefore, it should be required to make an improvement on the indoor air quaility for public facilities in the university buildings.

• Journal of Environmental Health Sciences
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• v.40 no.1
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• pp.10-16
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• 2014

Objectives: This pilot study assessed secondhand smoke (SHS) exposure in smoking and non-smoking nightclubs in Seoul, Korea by measuring the concentration of particulate matter smaller than $2.5{\mu}m$ ($PM_{2.5}$). Methods: This comparative study was conducted in three nightclubs in Seoul. While one non-smoking nightclub was measured on weekdays and weekends, different smoking nightclubs were measured on weekdays and weekends. The concentration of $PM_{2.5}$ was observed using a real-time monitor over an average of three hours. The number of people in the clubs was also estimated. Settled dust was collected in a smoking and a non-smoking nightclub and analyzed for NNK concentration. Results: The $PM_{2.5}$ concentration in the smoking nightclubs was higher than those found in the non-smoking nightclub by 26 times on weekdays and three times on weekends. Indoor $PM_{2.5}$ concentration was correlated with the number of people in the smoking nightclubs. Relatively high $PM_{2.5}$ concentration was observed in the non-smoking nightclub on weekends. NNK concentration in the smoking nightclub was 7 times higer than in the non-smoking nightclub. Conclusion: Smoking in nightclubs caused high $PM_{2.5}$ concentration. Although the non-smoking nightclub had a lower $PM_{2.5}$ concentration, $PM_{2.5}$ concentration on weekends was higher due to the smoking room. Complete prohibition of smoking in nightclubs can protect patrons from secondhand smoke exposure.

• Journal of Environmental Health Sciences
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• v.32 no.2 s.89
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• pp.132-139
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• 2006

Number of aerosol, CO, $CO_2$ and TVOC after one-, two-, three-cigarettes smoking were monitored with time every 10 minute for 180 minutes in the seminar room (volume $51.1m^3$) when poorly-ventilated. IAQ monitor (IAQRAE, model PGM-5210) and PortCount (TSI, model 8020) were used for monitoring. Aerosol was decreased with exponential decay equation and it was estimated that number of aerosol would be long suspended (one cigarette 75/cc. two cigarettes 66/cc, three cigarettes 141/cc by 8hrs after smoking). While CO was also decreased with exponential or linear decay equation and correlated with number of aerosol strongly, TVOC and $CO_2$ were increased with linear equation in accordance with time lag. Most of TVOC and $CO_2$ were above standard levels of Korean Indoor Air Quality (Ministry of Environment) without regarding number of cigarettes. When naturally ventilated, all of CO, $CO_2$ and TVOC concentrations were dramatically decreased below standard levels of Korean Indoor Air Quality.

• Analytical Science and Technology
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• v.16 no.4
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• pp.299-308
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• 2003

The purpose of this study is to investigate cadmium concentrations among metals in ETS (Environmental Tobacco Smoke) of indoor environments and to evaluate the cadmium as a marker of ETS. The correlations of cadmium concentrations and nicotine, 3-EP, RSP, SD (Smoking Density), and SI (Smoking Index). Air samples of metals, nicotine, 3-EP, and RSP were taken in smoking room, smoking allowed office, corridor outside smoking room, and non-smoking office respectively. The SD, ACH, and SI were investigated during sampling. Airborne concentration of cadmium known as human carcinogen were qualified and quantified. The SD was 0.2 to $2.6cig/m^2{\cdot}hr$, and the mean value of SD in smoking rooms was $1.2cig/m^2{\cdot}hr$ that is higher than other researches. The mean of ACH in smoking rooms was 11.1. The concentrations of cadmium showed log-normal distributions and the geometric mean concentrations of cadmium in smoking rooms, corridor outside smoking rooms, smoking allowed offices, and non-smoking offices were $0.045{\mu}g/m^3$, $0.018{\mu}g/m^3$, $0.021{\mu}g/m^3$, and $0.017{\mu}g/m^3$ respectively. The concentrations of cadmium in smoking room showed significant difference according to category of indoor office environments (p<0.05) and showed compliance with occupational exposure limits. The correlation coefficients between cadmium and nicotine, 3-EP, and RSP were 0.53, 0.41, 0.43 respectively. The cadmium among metals showed the highest correlations (r=0.63) with SI. It was recommended cadmium among metals is a good indicator for ETS.