- BTEX Exposure and its Health Effects in Pregnant Women Following the Hebei Spirit Oil Spill.
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Byung Mi Kim, Eun kyo Park, So Young LeeAn, Mina Ha, Eun Jung Kim, Hojang Kwon, Yun Chul Hong, Woo Chul Jeong, Jongil Hur, Hae Kwan Cheong, Jongheop Yi, Jong Ho Kim, Bo Eun Lee, Ju Hee Seo, Moon Hee Chang, Eun Hee Ha
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J Prev Med Public Health. 2009;42(2):96-103.
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DOI: https://doi.org/10.3961/jpmph.2009.42.2.96
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Abstract
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- OBJECTIVES
We evaluated the health effects of exposure to BTEX (Benzene, Toluene, Ethylbenzene, m,p-Xylene, o-Xylene) in the Taean area after the Hebei Spirit oil spill. METHODS: We used a questionnaire survey to look for health effects among 80 pregnant women 2 to 3 months following the Hebei Spirit oil spill. Their BTEX exposures were estimated using the CALPUFF method. We then used a multiple logistic regression analysis to evaluate the effects of BTEX exposure on the women's health effets. RESULTS: Pregnant women who lived near the accident site reported more symptoms of eye irritation and headache than those who lived farther from the site. There was a trend of decreasing symptoms with an increase in distance from the spill site. Pregnant women exposed to higher ambient cumulative levels of Xylene were significantly more likely to report symptoms of the skin (OR 8.01 95% CI=1.74-36.76) in the first day after the accident and significantly more likely to report abdominal pain (OR 3.86 95% CI=1.02-14.59 for Ethylbenzene, OR 6.70 95% CI=1.82-24.62 for Xylene) during the 1st through 4th days following the accident. CONCLUSIONS: This study suggests that exposure to BTEX from an oil spill is correlated with an increased risk of health effects among pregnant women. This implies the need to take proper measures, including the development of a national policy for environmental health emergencies and a plan for studying the short- and long-term chronic health effects associated with such spills.
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Summary
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Citations
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- Environmental Health Surveillance of Low Birth Weight in Seoul using Air Monitoring and Birth Data.
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Ju Hee Seo, Eun Hee Ha, Ok Jin Kim, Byung Mi Kim, Hye Sook Park, Jong Han Leem, Yun Chul Hong, Young Ju Kim
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J Prev Med Public Health. 2007;40(5):363-370.
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DOI: https://doi.org/10.3961/jpmph.2007.40.5.363
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4,592
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47
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6
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Abstract
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- OBJECTIVES
The principal objective of this study was to determine the relationship between maternal exposure to air pollution and low birth weight and to propose a possible environmental health surveillance system for low birth weight. METHODS: We acquired air monitoring data for Seoul from the Ministry of Environment, the meteorological data from the Korean Meteorological Administration, the exposure assessments from the National Institute of Environmental Research, and the birth data from the Korean National Statistical Office between January 1, 2002 and December 31, 2003. The final birth data were limited to singletons within 37~44 weeks of gestational age. We defined the Low Birth Weight (LBW) group as infants with birth weights of less than 2500g and calculated the annual LBW rate by district. The air monitoring data were measured for CO, SO2, NO2, and PM10 concentrations at 27 monitoring stations in Seoul. We utilized two models to evaluate the effects of air pollution on low birth weight: the first was the relationship between the annual concentration of air pollution and low birth weight (LBW) by individual and district, and the second involved a GIS exposure model constructed by Arc View 3.1. RESULTS: LBW risk (by Gu, or district) was significantly increased to 1.113(95% CI=1.111~1.116) for CO, 1.004 (95% CI=1.003~1.005) for NO2, 1.202(95% CI=1.199~ 1.206) for SO2, and 1.077(95% CI=1.075~1.078) for PM10 with each interquartile range change. Personal LBW risk was significantly increased to 1.081(95% CI=1.002~1.166) for CO, 1.145(95% CI=1.036~1.267) for SO2, and 1.053(95% CI=1.002~1.108) for PM10 with each interquartile range change. Personal LBW risk was increased to 1.003(95% CI=0.954~1.055) for NO2, but this was not statistically significant. The air pollution concentrations predicted by GIS positively correlated with the numbers of low birth weights, particularly in highly polluted regions. CONCLUSIONS: Environmental health surveillance is a systemic, ongoing collection effort including the analysis of data correlated with environmentally-associated diseases and exposures. In addition, environmental health surveillance allows for a timely dissemination of information to those who require that information in order to take effective action. GIS modeling is crucially important for this purpose, and thus we attempted to develop a GIS-based environmental surveillance system for low birth weight.
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Summary
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Citations
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