TY - JOUR
T1 - Prenatal lead exposure and fetal growth
T2 - Smaller infants have heightened susceptibility
AU - Rodosthenous, Rodosthenis S.
AU - Burris, Heather H.
AU - Svensson, Katherine
AU - Amarasiriwardena, Chitra J.
AU - Cantoral, Alejandra
AU - Schnaas, Lourdes
AU - Mercado-García, Adriana
AU - Coull, Brent A.
AU - Wright, Robert O.
AU - Téllez-Rojo, Martha M.
AU - Baccarelli, Andrea A.
N1 - Funding Information:
This work was supported by the Harvard T. H. Chan School of Public Health-NIEHS Center for Environmental Health (ES000002) and the National Institute of Environmental Health Sciences grants ES013744, ES014930, ES021357, ES020268, ES023515, and ES009089. We thank the faculty and staff of the American British Cowdray (ABC) Hospital who provided space and valuable assistance in the data collection.
Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2017
Y1 - 2017
N2 - Background As population lead levels decrease, the toxic effects of lead may be distributed to more sensitive populations, such as infants with poor fetal growth. Objectives To determine the association of prenatal lead exposure and fetal growth; and to evaluate whether infants with poor fetal growth are more susceptible to lead toxicity than those with normal fetal growth. Methods We examined the association of second trimester maternal blood lead levels (BLL) with birthweight-for-gestational age (BWGA) z-score in 944 mother-infant participants of the PROGRESS cohort. We determined the association between maternal BLL and BWGA z-score by using both linear and quantile regression. We estimated odds ratios for small-for-gestational age (SGA) infants between maternal BLL quartiles using logistic regression. Maternal age, body mass index, socioeconomic status, parity, household smoking exposure, hemoglobin levels, and infant sex were included as confounders. Results While linear regression showed a negative association between maternal BLL and BWGA z-score (β = − 0.06 z-score units per log2BLL increase; 95% CI: − 0.13, 0.003; P = 0.06), quantile regression revealed larger magnitudes of this association in the < 30th percentiles of BWGA z-score (β range [− 0.08, − 0.13] z-score units per log2BLL increase; all P values < 0.05). Mothers in the highest BLL quartile had an odds ratio of 1.62 (95% CI: 0.99–2.65) for having a SGA infant compared to the lowest BLL quartile. Conclusions While both linear and quantile regression showed a negative association between prenatal lead exposure and birthweight, quantile regression revealed that smaller infants may represent a more susceptible subpopulation.
AB - Background As population lead levels decrease, the toxic effects of lead may be distributed to more sensitive populations, such as infants with poor fetal growth. Objectives To determine the association of prenatal lead exposure and fetal growth; and to evaluate whether infants with poor fetal growth are more susceptible to lead toxicity than those with normal fetal growth. Methods We examined the association of second trimester maternal blood lead levels (BLL) with birthweight-for-gestational age (BWGA) z-score in 944 mother-infant participants of the PROGRESS cohort. We determined the association between maternal BLL and BWGA z-score by using both linear and quantile regression. We estimated odds ratios for small-for-gestational age (SGA) infants between maternal BLL quartiles using logistic regression. Maternal age, body mass index, socioeconomic status, parity, household smoking exposure, hemoglobin levels, and infant sex were included as confounders. Results While linear regression showed a negative association between maternal BLL and BWGA z-score (β = − 0.06 z-score units per log2BLL increase; 95% CI: − 0.13, 0.003; P = 0.06), quantile regression revealed larger magnitudes of this association in the < 30th percentiles of BWGA z-score (β range [− 0.08, − 0.13] z-score units per log2BLL increase; all P values < 0.05). Mothers in the highest BLL quartile had an odds ratio of 1.62 (95% CI: 0.99–2.65) for having a SGA infant compared to the lowest BLL quartile. Conclusions While both linear and quantile regression showed a negative association between prenatal lead exposure and birthweight, quantile regression revealed that smaller infants may represent a more susceptible subpopulation.
KW - Birth weight
KW - Fetal growth
KW - Lead
KW - Pregnancy
KW - Quantile regression
KW - Small-for-gestational age
UR - http://www.scopus.com/inward/record.url?scp=85027917670&partnerID=8YFLogxK
U2 - 10.1016/j.envint.2016.11.023
DO - 10.1016/j.envint.2016.11.023
M3 - Article
C2 - 27923585
AN - SCOPUS:85027917670
SN - 0160-4120
VL - 99
SP - 228
EP - 233
JO - Environment international
JF - Environment international
ER -