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 log BLL 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 log BLL 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.
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http://dx.doi.org/10.1016/j.envint.2016.11.023 | DOI Listing |
Curr Environ Health Rep
January 2025
AJ Drexel Autism Institute, Drexel University, Philadelphia, USA, PA.
Purpose Of Review: Per- and polyfluoroalkyl substances (PFAS) are persistent chemicals with many modern applications, leading to widespread contamination and universal human exposure. PFAS exposure during early life is of particular concern, given susceptibility of the developing fetal and infant brain to toxic exposures. This review aims to synthesize current evidence, discuss methodological challenges, and highlight research gaps to guide future studies on the impact of PFAS on neurodevelopment.
View Article and Find Full Text PDFUltrasound Obstet Gynecol
January 2025
BCNatal, Barcelona Center for Maternal-Fetal and Neonatal Medicine, Hospital Clínic and Hospital Sant Joan de Déu, IDIBAPS, University of Barcelona, Barcelona, Spain.
Objective: To investigate the prognostic value of maternal angiogenic factors in late-onset small fetuses, alone or in combination with the ultrasound and Doppler parameters currently used for the classification of low-risk small-for-gestational-age (SGA) fetuses or high-risk fetal growth restriction (FGR), overall and according to the presence or absence of pre-eclampsia.
Methods: This was a prospective cohort study of women with a singleton pregnancy with a diagnosis of late-onset fetal smallness (defined as birth weight < 10 centile) and a gestational age of ≥ 34 weeks at delivery. Ultrasound assessment of estimated fetal weight (EFW) and Doppler assessment of uterine artery pulsatility index (UtA-PI) and cerebroplacental ratio (CPR) were performed every 1-2 weeks.
Acta Paediatr
January 2025
Neonatal Research Unit, Health Research Institute La Fe, University and Polytechnics Hospital La Fe, Valencia, Spain.
Congenital heart disease (CHD) includes defects of intrauterine cardiac development that result in alterations to the morphology and/or physiology of the heart, usually expressed early in fetal or postnatal life. This group represents one of the most common congenital anomalies of all living newborns worldwide. Neurodevelopmental deficits are a reality in patients with CHDs and may contribute to significant sequela and long-term morbidity beginning in infancy and extending into adulthood.
View Article and Find Full Text PDFJ Clin Ultrasound
January 2025
Division of Maternal-Fetal Medicine, Department of Maternal and Fetal Medicine, Obstetrics and Gynecology, University of Miami, Miller School of Medicine, Miami, Florida, USA.
This narrative review examines the integration of Artificial Intelligence (AI) in prenatal care, particularly in managing pregnancies complicated by Fetal Growth Restriction (FGR). AI provides a transformative approach to diagnosing and monitoring FGR by leveraging advanced machine-learning algorithms and extensive data analysis. Automated fetal biometry using AI has demonstrated significant precision in identifying fetal structures, while predictive models analyzing Doppler indices and maternal characteristics improve the reliability of adverse outcome predictions.
View Article and Find Full Text PDFJ Mammal
February 2025
Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK 99775, United States.
Animals living in seasonal environments have adopted a wide array of tactics used to deal with seasonal resource scarcity. Many species migrate between habitats to reach areas where food resources are more plentiful as an attempt to address energetic demands through foraging. We assessed the winter behavioral adaptations of Caribou (), a large ungulate inhabiting Arctic and sub-Arctic regions known for seasonal resource scarcity.
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