No abstract available.
Air Pollution, Indoor*

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 indoor PM(2.5) was attributed to smoking.

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

Background: Ironically, the hospital which is believed to be a healthy and safe place can be dangerous to health. Pollutants such as particulate matter 2.5 microns (PM₂.₅) can be present in hospital indoor air and may adversely affect the health of the hospital occupants. Objective: Possible sources of indoor PM₂.₅ in an urban tertiary care hospital in the Philippines are identified and apportioned in this study. Methods: PM₂.₅ measurements were conducted in two naturally ventilated wards (NVWs), two mechanically ventilated wards (MVWs), and a roof deck near the hospital. Mass concentrations with analytical uncertainties of thirteen elements (Al, Na, S, Si, Cl, K, Ca, V, Fe, Zn, Br, Hg, Pb) from PM₂.₅ measurements were utilized with Positive Matrix Factorization (PMF) receptor model to identify and apportion possible sources of indoor PM₂.₅. Results: In NVWs and MVWs, four types of sources were identified including sodium and chlorine sources, crustal emissions, anthropogenic sulfur sources, and road dust. Cleaning agents used in the hospital were identified as an anthropogenic indoor source of sodium while the other factors mainly came from outdoor sources. Conclusion The contribution of anthropogenic outdoor pollutants such as road dust and sulfur sources to indoor PM₂.₅ are highlighted in the study. The types of both indoor and outdoor sources of indoor PM₂.₅ can be influenced by the type of ventilation.
Respiration, Artificial ; Air Pollution, Indoor

BACKGROUND: Recent epidemiologic studies have shown that environmental contaminants such as air pollution and tobacco smoke play an important role in the pathophysiology of atopic dermatitis (AD). OBJECTIVE: The aim of this study was to evaluate the relationship between the severity of AD and indoor air pollution. METHODS: The study population consisted of 425 children from 9 kindergartens, Korea. The authors surveyed the prevalence of AD and evaluated disease severity by the eczema area and severity index (EASI) score and investigator's global assessment (IGA). After measuring indoor air pollution, a program to improve indoor air quality was conducted in 9 kindergartens. Seven months later, the prevalence and disease severity were evaluated. RESULTS: The initial prevalence of AD was 8% and the mean EASI score was 2.37. The levels of particulate material 10 (PM10) and carbon dioxide (CO2) were higher in some kindergartens compared to the normal values. Subsequent to the completion of the indoor air quality improvement program, the mean PM10 level was significantly decreased from 182.7 to 73.4 microg/m3. After the completion of the program, the prevalence of AD and the mean EASI were decreased, and the changes were both statistically significant. The mean number of hospital visits decreased from 1.3 per month during the first survey to 0.7 per month during the second survey, which was statistically significant. CONCLUSION: Indoor air pollution could be related to AD. The reduction of PM10 through improving indoor air quality should be considered in kindergartens and schools in order to prevent and relieve AD in children.
Air Pollutants ; Air Pollution ; Air Pollution, Indoor ; Carbon Dioxide ; Child ; Dermatitis, Atopic ; Eczema ; Epidemiologic Studies ; Humans ; Korea ; Prevalence ; Reference Values ; Smoke ; Tobacco

BACKGROUND: Recent epidemiologic studies have shown that environmental contaminants such as air pollution and tobacco smoke play an important role in the pathophysiology of atopic dermatitis (AD). OBJECTIVE: The aim of this study was to evaluate the relationship between the severity of AD and indoor air pollution. METHODS: The study population consisted of 425 children from 9 kindergartens, Korea. The authors surveyed the prevalence of AD and evaluated disease severity by the eczema area and severity index (EASI) score and investigator's global assessment (IGA). After measuring indoor air pollution, a program to improve indoor air quality was conducted in 9 kindergartens. Seven months later, the prevalence and disease severity were evaluated. RESULTS: The initial prevalence of AD was 8% and the mean EASI score was 2.37. The levels of particulate material 10 (PM10) and carbon dioxide (CO2) were higher in some kindergartens compared to the normal values. Subsequent to the completion of the indoor air quality improvement program, the mean PM10 level was significantly decreased from 182.7 to 73.4 microg/m3. After the completion of the program, the prevalence of AD and the mean EASI were decreased, and the changes were both statistically significant. The mean number of hospital visits decreased from 1.3 per month during the first survey to 0.7 per month during the second survey, which was statistically significant. CONCLUSION: Indoor air pollution could be related to AD. The reduction of PM10 through improving indoor air quality should be considered in kindergartens and schools in order to prevent and relieve AD in children.
Air Pollutants ; Air Pollution ; Air Pollution, Indoor ; Carbon Dioxide ; Child ; Dermatitis, Atopic ; Eczema ; Epidemiologic Studies ; Humans ; Korea ; Prevalence ; Reference Values ; Smoke ; Tobacco

Thirdhand smoke (THS) is defined as residual tobacco components that remain on indoor surfaces after tobacco has been smoked, such as walls furniture, and dust particles, which are re-emitted into the air. THS also includes secondary pollutants generated from the reaction of surface residual smoke compounds with reactive indoor air pollutants. THS is a new hidden health hazard, with infants and children being most at risk of higher exposure. This article summarized the aging process of secondhand smoke and the mechanism of generation of THS; reviewed the current status of research on THS regarding its chemical constituents, physical and chemical properties, biological toxicity, as well as degree of pollution in China and other countries; and finally provided the perspectives on the future study of THS.
Adolescent ; Air Pollution, Indoor ; Child ; Child, Preschool ; China ; Dust ; Environmental Exposure ; Humans ; Infant ; Infant, Newborn ; Research ; Smoke ; Tobacco Smoke Pollution

OBJECTIVETo determine the extent of secondhand smoke exposure in China, and to explore the potential associated factors.

METHODSThis study was a nationally representative household survey examining secondhand smoke exposure of non-institutionalized men and women aged 15 and older using a global standardized geographically clustered sample design. A total of 13,354 people completed the individual questionnaire with questions on gender, age, educational level, residence, profession, potential factors associated with secondhand smoke exposure, and workplace smoking policy. The data were used to determine whole population estimates of secondhand smoke exposure.

RESULTSAmong non-smokers aged 15 years and older, it was estimated that 72.4% (556 million) were exposed to secondhand smoke, with 52.5% (292 million) exposed to secondhand smoke daily. The prevalence of secondhand smoke exposure was 74.1% for men, 71.6% for women, 70.5% for urban populations, and 74.2% for rural populations. The rates were 67.3%, 63.3%, and 72.7% respectively, within the household, indoor workplaces and public places. Secondhand smoke exposure was significantly reduced in workplaces with a smoking ban but not in workplaces with a partial smoking ban.

CONCLUSIONAlthough China has made some progress toward a smoke-free environment there remains a high degree of exposure to secondhand smoke.

Air Pollution, Indoor ; China ; epidemiology ; Female ; Health Surveys ; Humans ; Male ; Occupational Exposure ; Population Surveillance ; Tobacco Smoke Pollution ; statistics & numerical data

OBJECTIVES: The increased prevalence of asthma over the last 30 years has been reported from many different countries, including Korea. The increased prevalence may be due to increased exposure to indoor air pollutants. METHODS: In this study, the relationship between residential environments and airway hyper-responsiveness has been examined among 280 family members. The bronchial hyper-responsiveness was expressed as the log-transformed slope of FEV decrease over the log-transformed dose of methacholine concentration(BRindex). Simple regression analysis was done for the effect of sex, age, atopic status, and residential environments including active and passive smoking exposures on airway responsiveness. Based on simple regression results, multiple rwegression analysis was performed for total group and also according to sex. RESULTS: The mean of BRindex of residents living in gas boiler heating houses was higher than that of central heating system (p=0.014). Smoking status was a significant determinant of bronchial hyper-responsiveness in both genders; male(p=0.017), female (p%.022). In the male group the mean of BRindex of current smokers was significantly higher than those of ex-smokers and non-smokers, and the mean of BRindex of passive smokers was higher than that of non-smokers, but statistical significance was border-line(p=0.069). In female group, the mean of BRindex of kerosene stove users was higher than that of non-users(p=0.057). CONCLUSIONS: This study suggests that indoor air pollutants including type of heating, passive smoking and kerosene stove use can contribute to the increase in asthma prevalence in Korea.
Air Pollutants ; Air Pollution, Indoor ; Asthma ; Female ; Heating ; Hot Temperature ; Humans ; Kerosene ; Korea ; Male ; Methacholine Chloride ; Prevalence ; Smoke ; Smoking ; Tobacco Smoke Pollution

Nitrogen dioxide (NO₂) is an important indoor air pollutant, with both outdoor and indoor sources contributing to indoor NO₂ exposure levels. Considering the association of high NO₂ exposure with adverse health effects, the Standards for indoor air quality (GB/T 18883-2022) have been revised to further restrict indoor NO₂ limit values. The 1-h average concentration limit value for NO₂ has been reduced from 0.24 mg/m³ to 200 μg/m³.This study analyzed the technical contents related to the determination of the limits of indoor NO₂ in Standards for Indoor Air Quality (GB/T 18883-2022), including source, exposure level, health effects, and the process and evidence basis for determining the limit value. It also proposed prospects for the direction for the implementation of the indoor NO₂ standard.
Humans ; Air Pollution, Indoor/adverse effects* ; Nitrogen Dioxide ; Air Pollutants/analysis* ; China ; Air Pollution/adverse effects*

Nitrogen dioxide (NO₂) is an important indoor air pollutant, with both outdoor and indoor sources contributing to indoor NO₂ exposure levels. Considering the association of high NO₂ exposure with adverse health effects, the Standards for indoor air quality (GB/T 18883-2022) have been revised to further restrict indoor NO₂ limit values. The 1-h average concentration limit value for NO₂ has been reduced from 0.24 mg/m³ to 200 μg/m³.This study analyzed the technical contents related to the determination of the limits of indoor NO₂ in Standards for Indoor Air Quality (GB/T 18883-2022), including source, exposure level, health effects, and the process and evidence basis for determining the limit value. It also proposed prospects for the direction for the implementation of the indoor NO₂ standard.
Humans ; Air Pollution, Indoor/adverse effects* ; Nitrogen Dioxide ; Air Pollutants/analysis* ; China ; Air Pollution/adverse effects*