OBJECTIVETo study the levels of pollutions caused by fine particulate matter (PM(2.5)) in the public places and investigate the possible influencing factors.

METHODSA total of 20 public places in four types such as rest room in bath center, restaurant, karaoke bars and cyber cafe in Tongzhou district in Beijing were chosen in this study; indoor and outdoor PM(2.5) was monitored by TSI sidepak AM510. Data under varying conditions were collected and analyzed, such as doors or windows or mechanical ventilation devices being opened, rooms cramped with people and smoking.

RESULTSThe average concentration of indoor PM(2.5) in 20 public places was (334.6 +/- 386.3) microg/m(3), ranging from 6 microg/m(3) to 1956 microg/m(3); while in bath center, restaurant, karaoke bars and cyber cafe were (116.9 +/- 100.1)microg/m(3), (317.9 +/- 235.3) microg/m(3), (750.6 +/- 521.6)microg/m(3) and (157.5 +/- 98.5) microg/m(3) respectively. The concentrations of PM(2.5) in restaurant (compared with bath center: Z = -10.785, P < 0.01; compared with karaoke bars: Z = -10.488, P < 0.01; compared with cyber cafe: Z = -7.547, P < 0.01) and karaoke bars (compared with bath center: Z = -16.670, P < 0.01; compared with cyber cafe: Z = -15.682, P < 0.01) were much higher than those in other two places. Single-factor analysis revealed that the average concentration of indoor PM(2.5) in 20 public places was associated with the number of smokers per cube meters(9.13 x 10(-3); r = 0.772, F = 26.579, P < 0.01) and ventilation score [(2.5 +/- 1.5) points; r = 0.667, F = 14.442, P < 0.01], and there were significant correlation between the average indoor and outdoor levels in restaurant [(317.9 +/- 235.3) microg/m(3), (67.8 +/- 78.9) microg/m(3); r = 0.918, F = 16.013, P = 0.028] and cyber cafe [(157.5 +/- 98.5) microg/m(3), (67.7 +/- 43.7) microg/m(3); r = 0.955, F = 30.785, P = 0.012]. Furthermore, significant correlation was observed between the average concentration of indoor PM(2.5) [(157.5 +/- 98.5) microg/m(3)]and the number of people per cube meters (288.7 x 10(-3)) in cyber cafe (r = 0.891, F = 11.615, P = 0.042). Multiple regression analysis showed that smoking (b' = 0.581, t = 3.542, P = 0.003) and ventilation (b' = -0.348, t = -2.122, P = 0.049) were the major factors that may influence the concentration of indoor PM(2.5) in four public places. With cluster analysis, the results showed that the major factors that influence the concentration of indoor PM(2.5) was the outdoor PM(2.5) levels [(49.6 +/- 39.5) microg/m(3); b = 1.556, t = 3.760, P = 0.007] when ventilation (score > 2) was relatively good. The number of smokers per cube meters (14.7 x 10(-3)) became the major influence factor when the ventilation score

CONCLUSIONThis study indicated that smoking was the main source of indoor PM(2.5) in public places. Outdoor PM(2.5) should be correlated with indoor PM(2.5) concentration under drafty situation.

Air Pollution, Indoor ; analysis ; Environmental Monitoring ; methods ; Particulate Matter ; analysis ; Public Facilities ; Tobacco Smoke Pollution ; analysis

PURPOSE: In some countries with high smoking prevalence, smoke-free legislation has only been implemented in specific public places, as opposed to a comprehensive ban on smoking in all public places. The purpose of this study was to provide valid data on second-hand smoke (SHS) exposure that reflect the consequences of incomplete smoke-free legislation, and provide a rationale for expanding this legislation. MATERIALS AND METHODS: Indoor and outdoor environmental exposure (fine particulate matter [PM2.5], air nicotine, and dust 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone [NNK]) was monitored in 35 public places where smoking is prohibited by law in Goyang, Republic of Korea. Biomarkers of SHS exposure (urinary cotinine, hair nicotine, and urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol) were measured in 37 non-smoking employees. Geometric means and standard deviations were used in comparison of each measure. RESULTS: Considerable exposure of SHS was detected at all indoor monitoring sites (PM2.5, 95.5 mug/m3 in private educational institutions; air nicotine, 0.77 mug/m3 in large buildings; and dust NNK, 160.3 pg/mg in large buildings); environmental measures were higher in private or closed locations, such as restrooms. Outdoor measures of SHS exposure were lowest in nurseries and highest in government buildings. Biochemical measures revealed a pattern of SHS exposure by monitoring site, and were highest in private educational institutions. CONCLUSION: The evidence of SHS exposure in legislative smoke-free places in Korea suggests that incomplete smoke free legislation and lack of enforcement of it might not protect people from exposure to smoke. Therefore, active steps should be taken toward a comprehensive ban on smoking in all public places and its enforcement.
Biological Markers ; Cotinine ; Dust ; Environmental Exposure ; Environmental Health ; Hair ; Health Policy ; Jurisprudence ; Korea ; Nicotine ; Nurseries ; Particulate Matter ; Prevalence ; Republic of Korea* ; Smoke ; Smoking ; Tobacco Smoke Pollution

PURPOSE: The objective of this study was to measure secondhand smoke (SHS) exposure in personal computer (PC) rooms with the purpose of determining the strength of scientific evidence supporting the legislative ban on smoking in PC rooms located in the Republic of Korea. MATERIALS AND METHODS: From June to September 2012, particulate matter (PM2.5) and air nicotine concentration (ANC) were measured in the smoking and non-smoking areas of PC rooms in Goyang City, Korea. In 28 randomly sampled PC rooms, field investigators completed an observational questionnaire on building characteristics, smoking policies, and evidence of smoking. The geometric means (GM) of PM2.5 and ANC in smoking and non-smoking areas were compared. RESULTS: Evidence of smoking was identified in both the smoking and non-smoking areas of all PC rooms. The GMs of PM2.5 and ANC in both areas were high and did not differ significantly (174.77 μg/m3 and 48.95 μg/m3 in smoking areas; 93.38 μg/m3 and 41.30 μg/m3 in non-smoking areas). Overall PM2.5 concentrations were 5.5-fold higher than those listed in the World Health Organization guidelines. CONCLUSION: This study supported previous reports that a partial smoking ban did not protect individuals from SHS exposure. Furthermore, the results from our study suggest how research can support policy. Countries in which smoke-free policies are not yet comprehensive may find our results useful.
Humans ; Korea* ; Microcomputers ; Nicotine ; Particulate Matter ; Republic of Korea ; Research Personnel ; Smoke ; Smoke-Free Policy ; Smoking ; Tobacco Smoke Pollution* ; World Health Organization

BACKGROUND: Polycyclic aromatic hydrocarbons (PAH) are well known environmental pollutants. The measurement of PAH in ambient air is not commonly used, because it is quite difficult to perform and is unreliable. Using biomarkers of PAH can be an alternative approach to this problem. The PAH in ambient air is absorbed in particulate matter. Total suspended particulate(TSP) or particulate matter of less than 10 micrometer in diameter (PM10) can be easily measured. Therefore, TSP or PM10 can be used as a surrogate measurements of ambient air PAH. CONCLUSIONS: We investigated whether the urinary concentration of two biomarkers of PAH, 1-hydroxypyrene (1-OHP) and 2-naphthol, could reflect the total suspended particulate in the general population. METHODS: In order to exclude the effects of occupational exposure and smoking, first grade middle school students were included in this study. Four middle schools within a one kilometer boundary of ambient air monitoring stations were selected. Total suspended particulate was regarded as the marker of airborne PAH. Diet and smoking data were collected by self administered questionnaires, and spot urine samples were collected. Urinary 1-OHP and 2-naphthol were analyzed by high performance liquid chromatography. RESULTS: The correlation between urinary 1-OHP, 2-naphthol and passive smoking was not statistically significant. The correlation between urinary 1-OHP and TSP indices was not statistically significant. The correlations between urinary 2-naphthol and TSP of two lag days, one lag day, and zero lag days were statistically significant. The statistical significance of two lag days was the strongest (p=0.001), one lag day was the next (p=0.0275), and zero lag days was the weakest (p=0.0349). CONCLUSION: Our results imply that the urinary concentration of 2-naphthol can be applied as a PAH exposure marker for the general population with low PAH exposure.
Air Pollution ; Biomarkers ; Chromatography, Liquid ; Diet ; Environmental Pollutants ; Humans ; Occupational Exposure ; Particulate Matter ; Polycyclic Hydrocarbons, Aromatic ; Surveys and Questionnaires ; Smoke ; Smoking ; Tobacco Smoke Pollution

OBJECTIVETo investigate the current smoking regulations and their impacts on the environmental tobacco smoke (ETS) levels inside restaurants and bars in Beijing.

METHODSTelephone survey was used to investigate the smoking regulations. TSI Sidepak AM510 was used to measure the level of fine particles less than 2.5 microns in diameter (PM2.5) in restaurants and bars. Analysis of variance and non-parametric rank tests were used to examine the association between indoor and outdoor PM2.5 levels and (1) smoking regulations; and (2) types of restaurants and bars.

RESULTSOf the 305 restaurants and bars surveyed, 27.9% had complete or partial smoking prohibiting rules. The average indoor PM2.5, level of the 92 restaurants and bars was 253.08 microg/m3 , 102.37% higher than the outdoor level. The average indoor and outdoor PM2.5 levels in the restaurants and bars with smoking ban regulations were 93.10 microg/m3 and 110.33 microg/m3 whole 289.34 microg/m3 and 128.40 microg/m3 in those without, respectively. The average indoor and outdoor PM2.5 levels of bars were 413.46 microg/m3 and 190.62 microg/m3, respectively, while in the western fast-food restaurants, they were 83.86 microg/m3 and 104.77 microg/m3, respectively. The outdoor PM2.5 levels were higher than the indoor levels in different classes of restaurants and bars. Furthermore, there was a significant positive correlation between PM2.5 levels and the number of smokers per cube meters (r = 0.47, P < 0.001).

CONCLUSIONSmoking regulations could effectively reduce the ETS level in restaurants and bars.

Air Pollution, Indoor ; analysis ; legislation & jurisprudence ; China ; Environmental Monitoring ; Particulate Matter ; analysis ; Restaurants ; Smoking ; legislation & jurisprudence ; Tobacco Smoke Pollution ; analysis ; legislation & jurisprudence

Air Pollutants ; Air Pollution ; Humans ; Particulate Matter ; Public Health ; Smog

The prevalence of allergic diseases has been increasing rapidly, especially in developing countries. Various adverse health outcomes such as allergic disease can be attributed to rapidly increasing air pollution levels. Rapid urbanization and increased energy consumption worldwide have exposed the human body to not only increased quantities of ambient air pollution, but also a greater variety of pollutants. Many studies clearly demonstrate that air pollutants potently trigger asthma exacerbation. Evidence that transportation-related pollutants contribute to the development of allergies is also emerging. Moreover, exposure to particulate matter, ozone, and nitrogen dioxide contributes to the increased susceptibility to respiratory infections. This article focuses on the current understanding of the detrimental effects of air pollutants on allergic disease including exacerbation to the development of asthma, allergic rhinitis, and eczema as well as epigenetic regulation.
Air Pollutants ; Air Pollution ; Asthma ; Developing Countries ; Eczema ; Environmental Exposure ; Epigenomics ; Human Body ; Hypersensitivity ; Nitrogen Dioxide ; Ozone ; Particulate Matter ; Prevalence ; Respiratory Tract Infections ; Rhinitis, Allergic ; Tobacco Smoke Pollution ; Urbanization

No abstract available.
Otorhinolaryngologic Diseases ; Particulate Matter

Ambient air pollution, including particulate matter (PM) and gaseous pollutants, represents an important environmental factor that adversely affects human health. PM is a complex mixture of extremely small particles and liquid droplets. Particle pollution is made up of a number of components, including acids (such as nitrates and sulfates), organic chemicals, metals, and soil or dust particles. Subtypes of atmospheric PM include suspended particulate matter, respirable suspended particles (particles with a diameter of 10 microm or less), fine particles (diameter of 2.5 microm or less), ultrafine particles, and soot. Sources of particulate matter can be artificial or natural. The effects of inhaling PM that have been widely studied in humans and animals now include asthma, lung cancer, cardiovascular mortality, respiratory diseases, birth defects, and premature death. This review focus on the impact of PM on health outcomes such as respiratory disease, heart disease, and cancer.
Air Pollution ; Animals ; Asthma ; Congenital Abnormalities ; Dust ; Heart Diseases ; Humans ; Inhalation ; Lung Neoplasms ; Metals ; Mortality ; Mortality, Premature ; Nitrates ; Organic Chemicals ; Particulate Matter* ; Soil ; Soot

Animals ; Dust ; Lung ; pathology ; Particulate Matter ; adverse effects ; Rats ; Wind