BackgroundThe purpose of this research was to determine the relationship between modeled particulate matter (PM2.5) exposure and birth weight, including the potential modification by maternal risk factors and indicators of socioeconomic status (SES).MethodsBirth records from 2001 to 2006 (N = 231,929) were linked to modeled PM2.5 data from a national land-use regression model along with neighbourhood-level SES and socio-demographic data using 6-digit residential postal codes. Multilevel random coefficient models were used to estimate the effects of PM2.5, SES and other individual and neighbourhood-level covariates on continuous birth weight and test interactions. Gestational age was modeled with a random slope to assess potential neighbourhood-level differences of its effect on birth weight and whether any between-neighbourhood variability can be explained by cross-level interactions.ResultsModels adjusted for individual and neighbourhood-level covariates showed a significant non-linear negative association between PM2.5 and birth weight explaining 8.5 % of the between-neighbourhood differences in mean birth weight. A significant interaction between SES and PM2.5 was observed, revealing a more pronounced negative effect of PM2.5 on birth weight in lower SES neighbourhoods. Further positive and negative modification of the PM2.5 effect was observed with maternal smoking, maternal age, gestational diabetes, and suspected maternal drug or alcohol use. The random intercept variance indicating between-neighbourhood birth weight differences was reduced by 75 % in the final model, while the random slope variance for between-neighbourhood gestational age effects remained virtually unchanged.ConclusionWe provide evidence that neighbourhood-level SES variables and PM2.5 have both independent and interacting associations with birth weight, and together account for 49 % of the between-neighbourhood differences in birth weight. Evidence of effect modification of PM2.5 on birth weight across various maternal and neighbourhood-level factors suggests that certain sub-populations may be more or less vulnerable to relatively low doses PM2.5 exposure.
The reduction of birth weight by fine particulate matter and its modification by maternal and neighbourhood-level factors: a multilevel analysis in British Columbia, Canada
A. Erickson,A. Ostry,L. Chan,L. Arbour
Published 2016 in Environmental Health
ABSTRACT
PUBLICATION RECORD
- Publication year
2016
- Venue
Environmental Health
- Publication date
2016-04-14
- Fields of study
Biology, Medicine, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
CITATION MAP
EXTRACTION MAP
CLAIMS
CONCEPTS
- birth weight
The continuous newborn weight outcome analyzed across linked birth records.
Aliases: newborn weight
- gestational age
The length of the pregnancy at delivery that was modeled with a random slope in the multilevel analysis.
Aliases: pregnancy duration
- gestational diabetes
A maternal pregnancy condition included as a potential modifier of the PM2.5 association.
Aliases: GDM
- maternal age
The mother's age at delivery used as an individual-level covariate and potential effect modifier.
Aliases: age of mother
- maternal smoking
Maternal smoking status used as an individual-level effect modifier in the birth-weight models.
Aliases: smoking
- pm2.5
Modeled fine particulate matter exposure assigned to births using a national land-use regression model and residential postal codes.
Aliases: particulate matter, fine particulate matter, particulate matter exposure
- random intercept variance
The multilevel model variance component representing between-neighbourhood differences in average birth weight.
Aliases: intercept variance
- random slope variance
The multilevel model variance component representing between-neighbourhood differences in the gestational-age effect.
Aliases: slope variance
- socioeconomic status
Neighbourhood-level socioeconomic status indicators linked to each residential postal code.
Aliases: SES, neighbourhood-level SES
- suspected maternal drug or alcohol use
An indicator of possible maternal drug or alcohol use included as an effect-modifying factor.
Aliases: maternal drug or alcohol use
REFERENCES
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