The authors' findings suggest distinct patterns of joint associations for birth defects, providing further evidence of the effects of pesticide mixtures, and future research should prioritize individual-level studies to validate and extend these ecological associations.
Abstract
Exposure to agrichemicals has been linked to an increased risk of congenital anomalies. A previous study in Nebraska observed an association between single waterborne contaminants and birth defects. However, the joint association between pesticide mixture and birth defects has not been evaluated. This study examines the association of 32 commonly applied pesticides and congenital anomalies. We obtained data from the Nebraska Birth Defects Registry for 1995–2014. County-level pesticide-active ingredients from the United States Geological Survey, covering 1992–2014, were used for 93 Nebraska counties. The associations between 32 pesticides and birth defect subtypes were assessed using the generalized Weighted Quantile Sum Regression model, adjusting for race, income, employment, and access to care. We observed a statistically significant positive association (P-value <0.05) between the 32 pesticides and birth defect subtypes. The strength of this association was slightly higher for craniofacial defects (β1 = 0.36, Std error 0.07) than for overall defects (β1 = 0.33, Std error 0.06), renal or genitourinary defects (β1 = 0.33, Std error 0.05), and cardiac defects (β1 = 0.32, Std error 0.05). Glyphosate, metsulfuron, quizalofop, triasulfuron, and efsenvalerate largely contributed to the joint association. Our findings suggest distinct patterns of joint associations for birth defects, providing further evidence of the effects of pesticide mixtures. Future research should prioritize individual-level studies to validate and extend these ecological associations.
The data do not support a robust county-level association between agricultural pesticide application and later PD mortality, and the apparent weak positive gradient is explained by geographic, demographic, and socioeconomic confounding.
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