Association of Long-term Exposure to Airborne Particulate Matter of 1 μm or Less With Preterm Birth in China
Initiatives
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To evaluate whether PM1 concentrations are associated with the risk of PTB.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2016
- End Year
- 2017
- Funding
- Dr Y.-y. Wang and Prof Ma are supported by grants 2016YFC1000300 and 2016YFC1000307 from the National Key Research and Development Program. Mr Q. Li and Dr H.-J. Wang are supported by grants 81573170 from the National Natural Science Foundation of China and 11-064 from the China Medical Board. Dr Guo is supported by Career Development Fellowship APP1107107 from the Australian National Health and Medical Research Council (NHMRC). Dr S. Li is supported by Early Career Fellowship APP1109193 from the Australian NHMRC and seed grant APP1030259 from the Centre of Research Excellence–Centre for Air Quality and Health Research and Evaluation.
Design
- Study design
- Population cohort
Marker Paper
Wang YY, Li Q, Guo Y, et al. Association of Long-term Exposure to Airborne Particulate Matter of 1 μm or Less With Preterm Birth in China. JAMA Pediatr. 2018;172(3):e174872. doi:10.1001/jamapediatrics.2017.4872
PUBMED 29297052
Recruitment
- Sources of Recruitment
-
- Individuals
Number of participants
- Number of participants
- 1,300,342
- Number of participants with biosamples
Access
Availability of data and biosamples
Data | |
Biosamples | |
Other |
Timeline
healthy singleton pregnancies
In total, 1 300 342 healthy singleton pregnancies were included from women who were in labor from December 1, 2013, through November 30, 2014.
Selection Criteria
- Gender
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women
- Newborns
- Twins
- Countries
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- China
- Ethnic Origin
-
- Health Status
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- healthy singleton pregnancies
Recruitment
- Sources of recruitment
-
- General population
- General Population
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- Volunteer enrolment
Number of participants
- Number of participants
- 1,300,342
- Number of participants with biosamples
Data Collection Event
Predicted weekly PM1 concentration data collected using satellite remote sensing, meteorologic, and land use information matched with the home addresses of pregnant women.
- Start Date
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2016-12
- End Date
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2017-04
- Data sources
-
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Geospatial technology
- Remote sensing (RS)
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Geospatial technology