Journal of Preventive Medicine and Public Health

Special Article

General Factors of the Korean Exposure Factors Handbook: Jae-Yeon Jang, So-Yeon Kim, Sun-Ja Kim, Kyung-Eun Lee, Hae-Kwan Cheong, Eun-Hye Kim, Kyung-Ho Choi, Young-Hee Kim; J Prev Med Public Health. 2014;47(1):7-17. Published online January 29, 2014; DOI: https://doi.org/10.3961/jpmph.2014.47.1.7

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Risk assessment considers the situations and characteristics of the exposure environment and host. Various physiological variables of the human body reflects the characteristics of the population that can directly influence risk exposure. Therefore, identification of exposure factors based on the Korean population is required for appropriate risk assessment. It is expected that a handbook about general exposure factors will be used by professionals in many fields as well as the risk assessors of the health department. The process of developing the exposure factors handbook for the Korean population will be introduced in this article, with a specific focus on the general exposure factors including life expectancy, body weight, surface area, inhalation rates, amount of water intake, and soil ingestion targeting the Korean population. The researchers used national databases including the Life Table and the 2005 Time Use Survey from the National Statistical Office. The anthropometric study of size in Korea used the resources provided by the Korean Agency for Technology and Standards. In addition, direct measurement and questionnaire surveys of representative samples were performed to calculate the inhalation rate, drinking water intake, and soil ingestion.

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English Abstracts

Scientific Basis of Environmental Health Contingency Planning for a Coastal Oil Spill.: Young Min Kim, Hae Kwan Cheong, Jong Ho Kim, Jong Hun Kim, Kumsook Ko, Mina Ha; J Prev Med Public Health. 2009;42(2):73-81.; DOI: https://doi.org/10.3961/jpmph.2009.42.2.73

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OBJECTIVES
This study presents a scientific basis for the establishment of an environmental health contingency plan for dealing with accidental coastal oil spills and suggests some strategies for use in an environmental health emergency. METHODS: We reviewed the existing literature, and analyzed the various fundamental factors involved in response strategies for oil spill. Our analysis included data derived from Hebei Spirit oil spill and used air dispersion modeling. RESULTS: Spill amounts of more than 1,000 kl can affect the health of residents along the coast, especially those who belong to vulnerable groups. Almost 30% of South Korean population lives in the vicinity of the coast. The area that is at the highest risk for a spill and that has the greatest number of people at risk is the stretch of coastline from Busan to Tongyeong. The most prevalent types of oil spilt in Korean waters have been crude oil and bunker-C oil, both of which have relatively high specific gravity and contain volatile organic compounds, polycyclic aromatic hydrocarbons, and metals. In the case of a spill of more than 1,000 kl, it may be necessary to evacuate vulnerable and sensitive groups. CONCLUSIONS: The government should establish environmental health planning that considers the spill amount, the types of oil, and the distance between the spot of the accident and the coast, and should assemble a response team that includes environmental health specialists to prepare for the future oil spill.

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International Journal of Environmental Research and Public Health.2018; 15(5): 1006. CrossRef
Human health and ecological assessment programs for Hebei Spirit oil spill accident of 2007: Status, lessons, and future challenges
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A Retrospective Mid- and Long-term Follow-up Study on the Changes in Hematologic Parameters in the Highly Exposed Residents of the Hebei Spirit Oil Spill in Taean, South Korea
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Environmental Health Surveillance of Low Birth Weight in Seoul using Air Monitoring and Birth Data.: Ju Hee Seo, Eun Hee Ha, Ok Jin Kim, Byung Mi Kim, Hye Sook Park, Jong Han Leem, Yun Chul Hong, Young Ju Kim; J Prev Med Public Health. 2007;40(5):363-370.; DOI: https://doi.org/10.3961/jpmph.2007.40.5.363

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45 Download
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Abstract PDF

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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