1.Air Pollutants Exposure and Frequency of Micronuclei (MN) among Primary School Children nearby Industrial Area
Malaysian Journal of Medicine and Health Sciences 2018;14(SP2):56-62
Introduction: Air pollutants that possessed genotoxic properties have the potential to induce genetic damage. Micronuclei (MN) frequency is used as an indicator for identifying potential genotoxic exposures. A comparative cross-sectional study was carried out among primary school children in a petrochemical industrial area (N=111, Kemaman) and a rural (N=65, Dungun) area in Terengganu. Methods: Validated questionnaires were distributed to obtain the respondents’ socio-demographic data, previous exposure and reported respiratory illness. The frequency of micronuclei was assessed in collected buccal mucosa samples of children. The air monitoring was also carried out at 6 selected schools. Results: Results from the statistical analysis carried out showed significant differences with p=0.001 for all parameters assessed between areas, which included ultrafine particles, UFP (z = -4.842), PM2.5 (z = -10.392), PM10 (z= -11.074) NO2 (z = -11.868), SO2 (z = -5.667), relative humidity (z = -5.587). The MN frequency was statistically significant with PM2.5 (χ2= 17.78, p=0.001) and PM10 (χ2= 15.429, p =0.001). The statistical analysis also showed a significant association between UFP and coughing (PR=2.965, 95% CI=1.069-8.225). The multiple logistic regression analysis showed that the main pollutants influencing MN frequencies were UFP and NO2 with UFP (PR=1.877, 95%CI= 1.174-3.002) and NO2 (PR=1.008, 95%CI= 1.001-1.015). Conclusion: This study demonstrated that exposure to air pollutants may increase the risk of respiratory illness and may induce MN formation among children.
Air pollutants
2.Between Air Pollutants and Prevalence of Allergic Disease.
Pediatric Allergy and Respiratory Disease 2010;20(4):209-211
No abstract available.
Air Pollutants
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Prevalence
3.Mutagenicity Assay of Indoor Air Pollutants by Ames Test (Microsuspension assay) and Micro-nuclei of Lymphocyte.
Young Whan KIM ; Young Chul CHANG ; In Jae YOON ; Young Ja SUNG ; Ji Young AHN ; Hae Joon KIM
Korean Journal of Occupational and Environmental Medicine 1996;8(3):499-508
In order to evaluate the mutagenic effects of extractable indoor air pollutants (organic matters), we measured the mutagenic activities by sensitive microsuspension Ames test using new tester strains (YG 1024 and YG 1029). And additionally to evaluate the mutagenic effects on vital cell, we examined the frequencies of micronucleus appearing in lymphocytes from dye handling workers and controls. This study was conducted from Jan. toMay, 1995. The extractable indoor air pollutants were collected by low volume air sampler in a general office room and 3 of dye handling factories. And the environment of general office room divided into 3 different groups according to the type of room heaters. To determine the frequencies of micronucleus appearing in lymphocytes, we sampled peripheral venous blood from 20 of dye handling workers and 20 of controls, and cultured, and then examined the lymphocytes. The results obtained were as follows: 1. The indirect mutagenic activities of extractable organic matters from suspended particulates colleced in a general office room were higher than the direct one. 2. The strain YG 1024 was the most sensitive, and the increasing order of test strainsthat showed higher number of revertant were YG 1024, YG 1029, TA 100, and TA 98. 3. In the general office room, the room using kerosene heater showed the highest mutagenecity, and the next was buthan gas heater, and non-heating room in order. 4. The mutagenic effects of suspended particulates in::dye handling factories on the strain YG 1024 was 1.2 times higher than YG 1029. 5. The frequencies of micronucleus appearing in lymphocyte of the circulating blood of dye handling workers and the control were 5.65+/-2.97% and 4.65+/-0.97%, respectively. And the difference was statistically significant.
Air Pollutants*
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Kerosene
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Lymphocytes*
8.Time Series Analysis between the Concentration of Air Pollutants and the Number of Respiratory Disease Outpatients in Seoul.
Byeong Chul CHOI ; Jung Wan KOO ; Sung Kyun PARK ; Hyun Woo YIM ; Kang Sook LEE ; Won Chul LEE ; Chung Yill PARK
Korean Journal of Occupational and Environmental Medicine 2000;12(1):70-80
OBJECTIVES: This study was conducted to investigate whether air pollution levels in Seoul have short term effects on respiratory disease outpatients. METHODS: We analyzed five air pollutants (CO, NOy, Oy, SOp, PMyp) and daily counts of outpatient for respiratory disease divided by age group ((15yrs, 15-64yrs, 65+yrs) during the period of July 1997-June 1998 using Generalized Additive Model(GAM). RESULTS: After controlling for seasonal trends, day of the week, week of the month, temperature and humidity, CO (RR=1. 041 ~ l. 051, 0-day lag) and NOy (RR=1. 024~1. 050, 3-day lag) were significantly associated with daily counts for respiratory disease in all age groups. 0, and SO, were associated, with a 3-day lag in the age group under 15 years (O RR=1. 047, 95% CI=1. 045- 1. 049 i SOp RR=1. 018, 95% CI=1. 017- l. 020) and with a 0-day lag in the age group 15 to 64 years (0, RR=1. 035, 95% CI=1. 032-1. 037; SO, RR=1. 037, 95% CI=1. 035-1. 039), in the age group over 65 years (O RR=1. 042, 95% CI=1. 033-1. 051; SO RR=1.029, 95% CI=1.022-1.036). PM was weakly associated, with a 1-day lag in the age group under 15 years (RR=1.011, 95% CI=1.010-1.013) and with a 0-day lag in the age group 15 to 64 years (RR=1. 021, 95% CI=1. 019-1. 023), in the age group over 65 years (RR=1. 025, 95% CI=1. 018-1. 032). In the two pollutant model, the magnitudes of the relative risk for CO, NOy and Oq were maintained, but SOy was not associated with daily counts for respiratory disease in the age group under 15 years after controlling for NO,. PMyp was not associated in all age groups after controlling for CO, so the association with PMyp in the single pollutant model might be confounded by CO. In this study, the impact Of PMyp on the respiratory disease was not large as compared with other pollutants. CONCLUSIONS: Air pollution in Seoul may increase the incidence of the respiratory disease, so more positive attention for the control of air pollution should be paid.
Air Pollutants*
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Air Pollution
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Humans
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Humidity
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Incidence
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Outpatients*
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Seasons
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Seoul*
10.Investigating air quality status and air pollutant trends over the Metropolitan Area of Tehran, Iran over the past decade between 2005 and 2014
Hamidreza JAMAATI ; Mirsaeed ATTARCHI ; Somayeh HASSANI ; Elham FARID ; Seyed Mohammad SEYEDMEHDI ; Pegah Salimi PORMEHR
Environmental Health and Toxicology 2018;33(2):2018010-
Studies on the trend of air pollution in Tehran, Iran, as one of the most polluted metropolis in the world are scant, and today Tehran is known for its high levels of air pollutants. In this study, the trend of air pollution concentration was evaluated over the past 10 years (2004-2015). The data were collected from 22 stations of the Air Quality Control Company. Daily concentrations of CO, NO₂, SO₂, O₃, PM₁₀ were analyzed using SPSS 16 based on the statistical method, repeated measures, and intra-group test to determine the pattern of each pollutant changes. As a result of the 22 air pollution monitoring stations, NO₂ and SO₂ concentrations have been increasing over the period of 10 years. The highest anomaly is related to SO₂. The CO concentrations represent a descending pattern over the period, although there was a slight increase in 2013 and 2014. The O₃ concentrations declined in the following years. The average concentration of PM₁₀ has been rising during the period. Also we evaluated changes of each pollutant in different months and calculated the number of clean, healthy, unhealthy days for sensitive, unhealthy, very unhealthy, and dangerous groups. The study findings illustrated the necessity for larger investment in air pollution abatement. Overall, trends have been progressed to worsening, the number of healthy days has been declined and the number of unhealthy days has been increased in recent years.
Air Pollutants
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Air Pollution
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Investments
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Iran
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Methods
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Quality Control