Full metadata record
DC Field | Value | Language |
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dc.contributor.author | 하은희 | * |
dc.date.accessioned | 2016-08-28T12:08:54Z | - |
dc.date.available | 2016-08-28T12:08:54Z | - |
dc.date.issued | 2011 | * |
dc.identifier.issn | 0091-6765 | * |
dc.identifier.other | OAK-7741 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/221754 | - |
dc.description.abstract | Background: The findings of prior studies of air pollution effects on adverse birth outcomes are difficult to synthesize because of differences in study design. Objectives: The International Collaboration on Air Pollution and Pregnancy Outcomes was formed to understand how differences in research methods contribute to variations in findings. We initiated a feasibility study to a) assess the ability of geographically diverse research groups to analyze their data sets using a common protocol and b) perform location-specific analyses of air pollution effects on birth weight using a standardized statistical approach. Methods: Fourteen research groups from nine countries participated. We developed a protocol to estimate odds ratios (ORs) for the association between particulate matter ≤ 10 μm in aerodynamic diameter (PM 10) and low birth weight (LBW) among term births, adjusted first for socioeconomic status (SES) and second for additional location-specific variables. Results: Among locations with data for the PM 10 analysis, ORs estimating the relative risk of term LBW associated with a 10-μg/m 3 increase in average PM 10 concentration during pregnancy, adjusted for SES, ranged from 0.63 [95% confidence interval (CI), 0.30-1.35] for the Netherlands to 1.15 (95% CI, 0.61-2.18) for Vancouver, with six research groups reporting statistically significant adverse associations. We found evidence of statistically significant heterogeneity in estimated effects among locations. Conclusions: Variability in PM 10-LBW relationships among study locations remained despite use of a common statistical approach. A more detailed meta-analysis and use of more complex protocols for future analysis may uncover reasons for heterogeneity across locations. However, our findings confirm the potential for a diverse group of researchers to analyze their data in a standardized way to improve understanding of air pollution effects on birth outcomes. | * |
dc.language | English | * |
dc.title | The international collaboration on air pollution and pregnancy outcomes: Initial results | * |
dc.type | Article | * |
dc.relation.issue | 7 | * |
dc.relation.volume | 119 | * |
dc.relation.index | SCI | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 1023 | * |
dc.relation.lastpage | 1028 | * |
dc.relation.journaltitle | Environmental Health Perspectives | * |
dc.identifier.doi | 10.1289/ehp.1002725 | * |
dc.identifier.wosid | WOS:000292299300038 | * |
dc.identifier.scopusid | 2-s2.0-79960079524 | * |
dc.author.google | Parker J.D. | * |
dc.author.google | Rich D.Q. | * |
dc.author.google | Glinianaia S.V. | * |
dc.author.google | Leem J.H. | * |
dc.author.google | Wartenberg D. | * |
dc.author.google | Bell M.L. | * |
dc.author.google | Bonzini M. | * |
dc.author.google | Brauer M. | * |
dc.author.google | Darrow L. | * |
dc.author.google | Gehring U. | * |
dc.author.google | Gouveia N. | * |
dc.author.google | Grillo P. | * |
dc.author.google | Ha E. | * |
dc.author.google | van den Hooven Hooven E.H. | * |
dc.author.google | Jalaludin B. | * |
dc.author.google | Jesdale B.M. | * |
dc.author.google | Lepeule J. | * |
dc.author.google | Morello-Frosch R. | * |
dc.author.google | Morgan G.G. | * |
dc.author.google | Slama R. | * |
dc.author.google | Pierik F.H. | * |
dc.author.google | Pesatori A.C. | * |
dc.author.google | Sathyanarayana S. | * |
dc.author.google | Seo J. | * |
dc.author.google | Strickland M. | * |
dc.author.google | Tamburic L. | * |
dc.author.google | Woodruff T.J. | * |
dc.contributor.scopusid | 하은희(7003615774) | * |
dc.date.modifydate | 20240415125553 | * |