1. Investigating the association between birth weight and complementary air pollution metrics: a cohort study.
- Author
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Laurent, Olivier, Wu, Jun, Li, Lianfa, Chung, Judith, and Bartell, Scott
- Subjects
Air Pollutants: analysis ,Air Pollution: analysis ,Birth Weight ,California: epidemiology ,Carbon Monoxide: analysis ,Cohort Studies ,Environmental Monitoring ,Female ,Humans ,Infant ,Newborn ,Male ,Models ,Theoretical ,Motor Vehicles ,Nitrogen Oxides: analysis ,Oxidants ,Photochemical: analysis ,Ozone: analysis ,Particulate Matter: analysis ,Risk ,Vehicle Emissions ,Air pollution ,Birth weight ,Exposure assessment ,Ozone ,Trafficcarbon monoxide ,nitric oxide ,nitrogen dioxide ,ozone ,assessment method ,atmospheric pollution ,cohort analysis ,concentration (composition) ,environmental monitoring ,ethnicity ,health risk ,hospital sector ,insurance system ,land use change ,neonate ,nitrogen oxides ,numerical model ,ozone ,pollution exposure ,population structure ,prediction ,weight ,air pollution ,article ,birth weight ,cohort analysis ,concentration (parameters) ,environmental exposure ,ethnicity ,female ,gestational age ,human ,insurance ,land use ,low birth weight ,major clinical study ,male ,maternal age ,newborn ,parity ,particulate matter ,poverty ,pregnancy outcome ,priority journal ,race difference ,risk assessment ,sex difference ,traffic ,Air Pollutants ,Air Pollution ,Birth Weight ,California ,Carbon Monoxide ,Cohort Studies ,Environmental Monitoring ,Female ,Humans ,Infant ,Newborn ,Male ,Models ,Theoretical ,Motor Vehicles ,Nitrogen Oxides ,Oxidants ,Photochemical ,Ozone ,Particulate Matter ,Risk ,Vehicle Emissions ,Air Pollutants: analysis ,Air Pollution: analysis ,Birth Weight ,California: epidemiology ,Carbon Monoxide: analysis ,Cohort Studies ,Environmental Monitoring ,Female ,Humans ,Infant ,Newborn ,Male ,Models ,Theoretical ,Motor Vehicles ,Nitrogen Oxides: analysis ,Oxidants ,Photochemical: analysis ,Ozone: analysis ,Particulate Matter: analysis ,Risk ,Vehicle Emissions ,Air pollution ,Birth weight ,Exposure assessment ,Ozone ,Trafficcarbon monoxide ,nitric oxide ,nitrogen dioxide ,ozone ,assessment method ,atmospheric pollution ,cohort analysis ,concentration (composition) ,environmental monitoring ,ethnicity ,health risk ,hospital sector ,insurance system ,land use change ,neonate ,nitrogen oxides ,numerical model ,ozone ,pollution exposure ,population structure ,prediction ,weight ,air pollution ,article ,birth weight ,cohort analysis ,concentration (parameters) ,environmental exposure ,ethnicity ,female ,gestational age ,human ,insurance ,land use ,low birth weight ,major clinical study ,male ,maternal age ,newborn ,parity ,particulate matter ,poverty ,pregnancy outcome ,priority journal ,race difference ,risk assessment ,sex difference ,traffic ,Air Pollutants ,Air Pollution ,Birth Weight ,California ,Carbon Monoxide ,Cohort Studies ,Environmental Monitoring ,Female ,Humans ,Infant ,Newborn ,Male ,Models ,Theoretical ,Motor Vehicles ,Nitrogen Oxides ,Oxidants ,Photochemical ,Ozone ,Particulate Matter ,Risk ,Vehicle Emissions - Abstract
Exposure to air pollution is frequently associated with reductions in birth weight but results of available studies vary widely, possibly in part because of differences in air pollution metrics. Further insight is needed to identify the air pollution metrics most strongly and consistently associated with birth weight.We used a hospital-based obstetric database of more than 70,000 births to study the relationships between air pollution and the risk of low birth weight (LBW,
- Published
- 2013