TY - JOUR
T1 - Estimating the combined effects of natural and built environmental exposures on birthweight among urban residents in massachusetts
AU - Yitshak-Sade, Maayan
AU - Fabian, M. Patricia
AU - Lane, Kevin J.
AU - Hart, Jaime E.
AU - Schwartz, Joel D.
AU - Laden, Francine
AU - James, Peter
AU - Fong, Kelvin C.
AU - Kloog, Itai
AU - Zanobetti, Antonella
N1 - Funding Information:
Funding: This study was supported by the National Institute of Minority Health and Health Disparities grant (P50MD010428); National Institution of Health grants (P30 ES000002, R01 ES024332, and R01 HL150119); and Environmental Protection Agency grants (RD83615601 and RD83587201). Its contents are solely the responsibility of the grantee and do not necessarily represent the official views of the USEPA. Further, USEPA does not endorse the purchase of any commercial products or services mentioned in the publication.
Funding Information:
This study was supported by the National Institute of Minority Health and Health Disparities grant (P50MD010428); National Institution of Health grants (P30 ES000002, R01 ES024332, and R01 HL150119); and Environmental Protection Agency grants (RD83615601 and RD83587201). Its contents are solely the responsibility of the grantee and do not necessarily represent the official views of the USEPA. Further, USEPA does not endorse the purchase of any commercial products or services mentioned in the publication. Acknowledgments: We would like to thank Daniel J. Mennitt and Kurt M. Fristrup from the National Park Service, CO, USA, who contributed greatly to this work by providing the noise exposure model used in this analysis.
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2020/12/1
Y1 - 2020/12/1
N2 - Intrauterine growth has health implications both in childhood and adulthood. Birthweight is partially determined by prenatal environmental exposures. We aim to identify important predictors of birthweight out of a set of environmental, built environment exposures, and socioeconomic environment variables during pregnancy (i.e., fine particulate matter (PM2.5), temperature, greenness, walkability, noise, and economic indices). We included all singleton live births of mothers who resided in urban census block-groups and delivered in Massachusetts between 2001 and 2011 (n = 640,659). We used an elastic-net model to select important predictors of birthweight and constructed a multivariate model including the selected predictors, with adjustment for confounders. We additionally used a weighted quantile sum regression to assess the contribution of each exposure to differences in birthweight. All exposures were selected as important predictors of birthweight. In the multivariate model, lower birthweight was significantly associated with lower greenness and with higher temperature, walkability, noise, and segregation of the “high income” group. Treating the exposures individually, nighttime noise had the highest weight in its contribution to lower birthweight. In conclusion, after accounting for individual confounders, maternal environmental exposures, built environment exposures, and socioeconomic environment during pregnancy were important predictors of birthweight, emphasizing the role of these exposures in fetal growth and development.
AB - Intrauterine growth has health implications both in childhood and adulthood. Birthweight is partially determined by prenatal environmental exposures. We aim to identify important predictors of birthweight out of a set of environmental, built environment exposures, and socioeconomic environment variables during pregnancy (i.e., fine particulate matter (PM2.5), temperature, greenness, walkability, noise, and economic indices). We included all singleton live births of mothers who resided in urban census block-groups and delivered in Massachusetts between 2001 and 2011 (n = 640,659). We used an elastic-net model to select important predictors of birthweight and constructed a multivariate model including the selected predictors, with adjustment for confounders. We additionally used a weighted quantile sum regression to assess the contribution of each exposure to differences in birthweight. All exposures were selected as important predictors of birthweight. In the multivariate model, lower birthweight was significantly associated with lower greenness and with higher temperature, walkability, noise, and segregation of the “high income” group. Treating the exposures individually, nighttime noise had the highest weight in its contribution to lower birthweight. In conclusion, after accounting for individual confounders, maternal environmental exposures, built environment exposures, and socioeconomic environment during pregnancy were important predictors of birthweight, emphasizing the role of these exposures in fetal growth and development.
KW - Air pollution
KW - Birthweight
KW - Exposome
KW - Greenness
KW - Noise
KW - Temperature
UR - http://www.scopus.com/inward/record.url?scp=85096760760&partnerID=8YFLogxK
U2 - 10.3390/ijerph17238805
DO - 10.3390/ijerph17238805
M3 - Article
C2 - 33260804
AN - SCOPUS:85096760760
SN - 1661-7827
VL - 17
SP - 1
EP - 16
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
IS - 23
M1 - 8805
ER -
