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English Abstract
- 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
- 4,731 View
- 47 Download
- 6 Crossref
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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. -
Summary
Citations
Citations to this article as recorded by
- Spatiotemporal association of low birth weight with Cs-137 deposition at the prefecture level in Japan after the Fukushima nuclear power plant accidents: an analytical-ecologic epidemiological study
Hagen Scherb, Keiji Hayashi
Environmental Health.2020;[Epub] CrossRef - Current State of Research on the Risk of Morbidity and Mortality Associated with Air Pollution in Korea
Sanghyuk Bae, Ho-jang Kwon
Yonsei Medical Journal.2019; 60(3): 243. CrossRef - The Effect of Nitric Oxide Pollution on Oxidative Stress in Pregnant Women Living in Durban, South Africa
Samantha M. Anderson, Rajen N. Naidoo, Prithiksha Ramkaran, Alisa Phulukdaree, Sheena Muttoo, Kareshma Asharam, Anil A. Chuturgoon
Archives of Environmental Contamination and Toxicology.2018; 74(2): 228. CrossRef - HIV induced nitric oxide and lipid peroxidation, influences neonatal birthweight in a South African population
Samantha M. Anderson, Rajen N. Naidoo, Yashodani Pillay, Charlette Tiloke, Sheena Muttoo, Kareshma Asharam, Anil A. Chuturgoon
Environment International.2018; 121: 1. CrossRef - Outdoor Air Pollution, Preterm Birth, and Low Birth Weight: Analysis of the World Health Organization Global Survey on Maternal and Perinatal Health
Nancy L. Fleischer, Mario Merialdi, Aaron van Donkelaar, Felipe Vadillo-Ortega, Randall V. Martin, Ana Pilar Betran, João Paulo Souza
Environmental Health Perspectives.2014; 122(4): 425. CrossRef - Burden of Disease Due to Outdoor Air Pollution in Korea: Based on PM10
Hyun-Jin Kim, Seok-Jun Yoon, Hyeong-Su Kim, Kun-Sei Lee, Eun-Jung Kim, Min-Woo Jo, In-Hwan Oh
Korean Journal of Environmental Health Sciences.2011; 37(5): 387. CrossRef
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