A National Birth Cohort Study in China
Initiatives
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This study aims to examine whether exposure to high concentrations of PM2.5 or PM10 was associated with PTB (<37 weeks) and near term birth (37-38 weeks).
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
- 2013
- End Year
- 2015
- Funding
- QL and HJW were supported by the National Natural Science Foundation of China (81573170) and Beijing Natural Science Foundation (7162106), YYW and XM were supported by the National Key Research and Development Program (No. 2016YFC1000300, No. 2016YFC1000307). YG was supported by an Australian National Health and Medical Research Council Career Development Fellowship (APP1107107). SL was supported by the Early Career Fellowship of the Australian National Health and Medical Research Council (APP1109193) and Seed Funding from the National Health and Medical Research Council (NHMRC) Centre of Research Excellence (CRE)–Centre for Air quality and health Research and evaluation (CAR) (APP1030259).
Design
- Study design
- Population cohort
Marker Paper
Li Q, Wang YY, Guo Y, et al. Effect of airborne particulate matter of 2.5 μm or less on preterm birth: A national birth cohort study in China. Environ Int. 2018;121(Pt 2):1128‐1136. doi:10.1016/j.envint.2018.10.025
PUBMED 30352698
Number of participants
- Number of participants
- 1,280,524
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
A national birth cohort study in China
Base on the NFPHEP, we established a birth cohort for all the 1,535,545 nulliparous women who delivered between Dec. 1st, 2013 and Nov. 30th, 2014.
Selection Criteria
- Gender
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women
- Minimum age
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18
- Maximum age
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45
- Newborns
- Twins
- Countries
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- China
- Ethnic Origin
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- Health Status
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- Other criteria
- The main exclusion criteria included multiple-gestation pregnancies, key information missing (e.g., parity, date of delivery and last menstrual period), multiparas, ethnic minorities (the other 55 ethnic groups in China except Han ethnicity), lack of detailed home address, self-reported or diagnosed pre-pregnancy diseases [e.g., history of anemia, cancer, chronic nephritis, diabetes, heart disease, hypertension, thyroid disorder, tuberculosis, sexually transmitted disease and infections (only diagnosed by the health examination of NFPHEP project)], moved during pregnancy, still birth, aged <18 or >45 years at delivery, gestational age <20 weeks or >42 weeks, other delivery mode and exposure data unavailable
Recruitment
- Sources of recruitment
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- General population
Number of participants
- Number of participants
- 1,280,524
- Number of participants with biosamples
Data Collection Event
We established a birth cohort with 1,280,524 singleton pregnancies who delivered from Dec 1st, 2013 to Nov 30th, 2014 and matched their home address to PM2.5 and PM10 concentrations which were predicted with machine learning methods based satellite remote sensing, meteorological and land use information.
- Start Date
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2013-12
- End Date
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2014-11
- Data sources
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Geospatial technology
- Remote sensing (RS)
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Geospatial technology