Population-attributable risk of low birthweight related to PM10 pollution in seven Korean cities

Ju Hee Seo, Jong Han Leem, Eun Hee Ha, Ok Jin Kim, Byung Mi Kim, Ji Young Lee, Hye Sook Park, Hwan Cheol Kim, Yun Chul Hong, Young Ju Kim

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

To understand the preventable fraction of low birthweight (LBW) deliveries due to maternal exposure to air pollution during pregnancy in Korea, it is important to quantify the population-attributable risk (PAR). Thus, we investigated the association between maternal exposure to air pollution during pregnancy and LBW, and calculated the PAR for air pollution and LBW in seven Korean cities. We used birth records from the Korean National Birth Register for 2004. A geographic information system and kriging methods were used to construct exposure models. Associations between air pollution and LBW were evaluated using univariable and multivariable logistic regression, and the PAR for LBW due to air pollution was calculated. Of 177 660 full-term singleton births, 1.4% were LBW. When only spatial variation of air pollution was considered in each city, the adjusted odds ratios unit of particulate matter <10 μm in diameter (PM10) for LBW were 1.08 95% confidence interval CI 0.99, 1.18 in Seoul, 1.24 95% CI 1.02, 1.52 in Pusan, 1.19 95% CI 1.04, 1.37 in Daegu, 1.12 95% CI 0.98, 1.28 in Incheon, 1.22 95% CI 0.98, 1.52 in Kwangju, 1.05 95% CI 1.00, 1.11 in Daejeon and 1.19 95% CI 1.03, 1.38 in Ulsan. The PARs for LBW attributable to maternal PM10 exposure during pregnancy were 7%, 19%, 16%, 11%, 18%, 5% and 16% respectively. Because a large proportion of pregnant women in Korea are exposed to PM10 - which is associated with LBW - a substantial proportion of LBW could be prevented in Korea if air pollution was reduced.

Original languageEnglish
Pages (from-to)140-148
Number of pages9
JournalPaediatric and Perinatal Epidemiology
Volume24
Issue number2
DOIs
StatePublished - Mar 2010

Keywords

  • Air pollution
  • Low birthweight
  • PM
  • Particulates
  • Population-attributable risk

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